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🚀 Maillayer - the self-hosted Mailchimp alternative that I built after sending 500K+ emails! 💰 Amazon SES integration 🔒 Self-hosted 📬 Guaranteed inbox delivery with proven results 🔁 Lifetime updates 🔥 Limited pre-order: $29 (67% off!) →

17,013 views • 1 year ago •via X (Twitter)

39 Comments

Edgaras's profile picture
Edgaras1 year ago

Nice! How does it compare to Listmonk?

Boxem's profile picture
Boxem2 years ago

Shipping items to Amazon takes way too much time & headache Until today. Boxem saves you hours with streamlined Amazon shipments & analytics Plus features like 2D barcodes make your business more profit Get a free trial & start making money on Amazon faster today

MMIK's profile picture
MMIK1 year ago

Amazon SES don't have very good reputation on mail delivery ratio. Wondering how are you guaranteeing it 🤔

Piotr Kulpinski's profile picture
Piotr Kulpinski1 year ago

I tried MailLayer before this release, and it's a great piece of software! For $29, it's a steal 🎉 Congrats on the launch Mohd 🔥

Mohd Danish's profile picture
Mohd Danish1 year ago

Thanks Piotr. ❤️

Mohd Danish's profile picture
Mohd Danish1 year ago

7 pre-order. Amazing. Thanks

Mohd Danish's profile picture
Mohd Danish1 year ago

15 🎉. There are 15 pre-order left after that I'll increase rice to $69.

Mohd Danish's profile picture
Mohd Danish1 year ago

6 slots left and then price will be $69. Pre-order now for $29. →

AJ 💵 IndieHustle.co's profile picture
AJ 💵 IndieHustle.co1 year ago

Congrats on the launch! Will be monitoring your progress, hopefully to feature your success in the coming months on All the best!

stemonte's profile picture
stemonte1 year ago

Great idea, bro! The SES costs are on the client, right? Wishing you the best of luck, this could help a lot of tech folks save tons of money. I’ve built my own system using SES, Laravel, and Maizzle. If I hadn’t, I definitely would’ve bought this

Saïd Aitmbarek's profile picture
Saïd Aitmbarek1 year ago

great product, great landing page - would love to have you on @microlaunchhq if it helps

Andrej Gajdos's profile picture
Andrej Gajdos1 year ago

how is this dofferent to Sendy?

Shubham Sinha's profile picture
Shubham Sinha1 year ago

Grabbed this one 😎

Ricardo Macario's profile picture
Ricardo Macario1 year ago

just bought it. Hope instructions are clear to get it set up Mohd.

Mohd Danish's profile picture
Mohd Danish1 year ago

Thanks Ricardo ❤️

Jijo Jose's profile picture
Jijo Jose1 year ago

Are we getting access to the source code or compiled code?

Mohd Danish's profile picture
Mohd Danish1 year ago

You will get code that will work on your server. Fully your copy.

Akash wants you to join Peerlist so he's profile picture
Akash wants you to join Peerlist so he1 year ago

Monday is a launch day —

Mohd Danish's profile picture
Mohd Danish1 year ago

Launched

Rishabh Rathore's profile picture
Rishabh Rathore1 year ago

how is it different from Listmonk by Zerodha ? Listmonk is open-source too.

Ahaan Pandit's profile picture
Ahaan Pandit1 year ago

I’ll take one!

Masum's profile picture
Masum1 year ago

Done bro!

Jidé ✨'s profile picture
Jidé ✨1 year ago

Looks dope !

Tony Fiston 🥑's profile picture
Tony Fiston 🥑1 year ago

this is great, man.. i think that most folks will also want a feature to be able to send email marketing but also email outreach with a warm-up system

Reels Tracker's profile picture
Reels Tracker1 year ago

500K+ emails worth of experience packed into one tool. Hard to ignore at $29.

Prakash - Shopify Apps, Gen AI, Agency Owner's profile picture
Prakash - Shopify Apps, Gen AI, Agency Owner1 year ago

what is the tech stack used?

Asharib Ali's profile picture
Asharib Ali1 year ago

still I've to connect it with my server?

Mohd Danish's profile picture
Mohd Danish1 year ago

Yes that’s self hosted means.

Menj Villalobos's profile picture
Menj Villalobos1 year ago

will this have a SMTP feature as well?

Mohd Danish's profile picture
Mohd Danish1 year ago

No smtp.

Mohd Anas's profile picture
Mohd Anas1 year ago

This is awesome bruh!

Mohd Danish's profile picture
Mohd Danish1 year ago

Thanks Mohd.

Aleksa Mitić's profile picture
Aleksa Mitić1 year ago

This looks cool! It is all aws under the hood yes?

Mohd Danish's profile picture
Mohd Danish1 year ago

Yes.

cj's profile picture
cj1 year ago

Can it be used for cold emailing (with features like email warm up)?

Mohd Danish's profile picture
Mohd Danish1 year ago

You can use transactional api.

CoachRyan's profile picture
CoachRyan1 year ago

How is this different from Sendfox or Mailerlite? I'm just trying to see if it's worth the switch. And where would I self host?

Mohd Danish's profile picture
Mohd Danish1 year ago

Maillayer is self-hosted(You can host any where with coolify). You have to use your own SES acccount. Full control over your data.

Cogi's profile picture
Cogi1 year ago

Is there a confirmation email after payment because I didn’t receive any?

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54,217 views • 1 year ago

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compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal 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Moon Dev

26,010 views • 5 months ago

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Mark

64,840 views • 6 months ago

The Royal High Courts are certainly a place of grandeur and perhaps some are intimidated by the surroundings. Well that impressive 19th century Gothic architecture is a sight to behold but the Judges less so. I’ve seen too many judges in the UK and Pakistan and by God, they leave a lot to be desired. Especially when one comes across McGowan the Mediocre. What should have been a straightforward win has turned into a cheating exercise by the very judiciary meant to uphold justice in this country. Why do I say straightforward? Let’s recap. After 3-4 failed complaints to the GMC, the Jewish lobbies upped the ante. First came my loss of contract at South Tyneside and Sunderland NHS Foundation Trust where I was doing some clinics. No investigation. Just blocked from the email and can’t address patient queries. Then started the defamation in the press – articles in the Jewish News, Jewish Chronicle and Telegraph followed by loss of contract with Medinet with whom I’d worked since 2018 intermittently and had glowing reviews. The GMC now opens an investigation – given the pressure from Wes Streeting, elected in July 2024. They wanted an Interim Orders Tribunal (IOT) to decide if any sanction should be imposed whilst I was being “investigated”. I had a trip abroad for my brother’s assassination case and I had clinics. Patients who had waited 12-18 months to see a Neurologist. The GMC and MPTS didn’t care. The Medical Practitioners Tribunal Service (MPTS) is allegedly an independent body to the GMC and runs the IOT panels. They would not move the IOT by 11 working days as the GMC had refused (so much for independence!) – instead of 20th December I had suggested 13th January 2025. Recall this was over the Christmas period – people going on holidays and yet I was expected to get legal advice when I was in clinic from 8am – 6pm. I told them patients came first – I stand by that. Hurt Jewish feelings aren’t urgent and they don’t come before my patient care. I requested deferment by 11 working days, told them I would defend every single tweet and indeed, looked forward to it. This was all via email. Multiple emails. All ignored – including the one letter that contained my “defences”. They would not budge – the Jewish lobbies were demanding action and the GMC wasn’t going to risk their ire again. Wes Streeting was breathing down their necks. On 20th December 2024, I saw my Neurology patients and on 23rdDecember, I found out that I’d been suspended for 18 months. No other doctor had an 18-month suspension or got one since – in their absence. My remaining clinics in December and January all cancelled. Some patients were cancelled as they were making their way to my clinic. I requested the transcript of the IOT hearing – the GMC had been demanding conditions on my license on public interest grounds yet 3 batty women decided I should be suspended for 18 months for public interest and patient protection! Later, the barrister for the indemnity body stated he “couldn’t get purchase on” how they came to that decision. In any case, after being misled by my indemnity body – who suggested that I first ask for an early review, delayed asking for it and then the GMC refused. They were refusing to allow me to be heard after claiming I wouldn’t attend. The indemnity body then reneged on the agreed High Court action. The GMC even send me the Rule 7 letter – the final “allegations” against me on 5 February 2025 which they then updated in March. Ordinarily this takes about 9 months to send – in my case, they managed to do it within 6 weeks! Yet one of the reasons they claimed I needed to be suspended for 18 months was because of the lengthy investigation…. I had to reply by 5 May 2025 which I did via a191-page response. The GMC usually respond within 3-4 weeks. As of 21 January 2026, I have yet to hear from them. I then took matters into my own hand. Let down by cowardly lawyers except one (Yasmin), I filed a High Court application under Section 41 A(10) of the Medical Act 1983 to challenge my unlawful suspension. I requested an urgent expedited hearing as I was being left with no way to earn a living. There were 10 grounds of appeal. The High Court date was set for 10th July 2025. Meanwhile, the MPTS is obliged to give a 6-month review – 16th June 2025 afternoon was scheduled. I stated I wanted this in person and in public. I flew back from Kashmir on 9th June – it’s cheaper to live there - and found myself arrested at Holyhead under s12 of the Terrorism Act for “alleged support of proscribed groups” – apparently I was “on the wanted list. I’m released 14 hours later. They’d seized my mobile phones and laptop and wait for it, all my GMC documents that I’d carefully put together. I’m still not sure why I couldn’t get those back. I learn that the GMC is seeking information about this non-reportable arrest within 24 hours of it – they know. In any case, I go for the IOT hearing – and the GMC Counsel attempts to utilise the arrest. I object. The panel agree that it will not be considered. However, the MPTS have set an insufficient amount of time for the hearing – they would have known. There were over 1000 pages in the bundle of nonsense – the only worthwhile part of that was my beautifully written 191-page response. I was quite proud of it if I’m honest. It could be considered my second PhD thesis. As I have to return to Pakistan for hearings and the High Court case was 10thJuly, the IOT hearing was re-scheduled for 14th July 2025. So, fast forward to 10th July 2025. Under 48 hours before the hearing is due, the GMC submit their skeleton arguments – ordinarily submitted 7-14 days before – no doubt, to wrong foot me. They finally admit that the IOT panel made an “error of law” in not properly applying the Article 10 rights but argue they got to the “right decision but by the wrong route” (!) I am self-representing in Court 1 at the Royal Courts of Justice – the GMC have their in-house lawyer, their GMC Counsel and her clerk. But I have the best lawyer (currently abroad) and an excellent McKenzie friend, Sean Naughton and my well wishers who attended to support me. We start at 10 30am – and I ask the Judge to review the admission of illegality. On that basis alone, my suspension should be revoked. She declines and wants to hear the case. I then detail the IOT powers and how the grounds to sanction me had not been met – they had not proven public interest or public protection. I discussed the GMC actions, the unfairness, disproportionality, the abuse of process, the outright lies by the GMC, the draconian 18-month suspension, the persecution by the Jewish lobbies and the breach of my rights under Articles 8, 9 and 10 of the ECHR. My opening lines: “I submit that the suspension was political in nature. It was subject to bias and external pressure was clearly evident. It was unlawful and demonstrated seriously flawed reasoning. It was manifestly wrong and the panel erred in law. It was completely unnecessary. It’s been tainted by marked procedural errors, unfairness and it has demonstrated gross abuse of process by the GMC and the MPTS and the IOT panel and those abuses have continued. The suspension is draconian and disproportionate and inconsistent with other decision makings of the IOT panels. It is a complete violation of my rights under Article 8, 9 and especially Article 10 of the European Court of Human Rights. And it is demonstrated also limitation of the panel’s expertise, both in terms of law, but also, importantly, the context of the rights of the Palestinian people and it brings into serious question whether the GMC should be policing speech of doctors. It should certainly not be policing or interfering in political speech.” I went through each ground in detail giving the relevant case law. I talked openly about the nature of that persecution: “All of the complaints against me have been made by Jewish and pro-Israeli affiliated organisations and I think it’s necessary to list them – Lawyers for Israel, in collaboration with Gnasherjew, the Jewish Medical Association twice; the unnamed Jewish Zionist doctor; the Jewish News who defamed me; the reporter is Michelle Rosenberg - who is Jewish and Zionist; the Daily Telegraph defamation - George Chesterton is married to a Jewish woman; Miranda Levy and Jacob Freedland are both Jewish and Zionist. I had the Jewish Chronicle defamation - Jane Prinsley is Jewish and has a home in Israel; Campaign Against Antisemitism by Stephen Silverman, who is Jewish and has submitted three similar tweets in March 2025 to the GMC which have been included in my Rule 7 letter without due process the GMC is obliged to follow on receipt of a new complaint. And then, twice in the Jerusalem Post - Mathilda Heller and Michael Starr are both Jewish Zionists. And despite the suspension, Sabrina Miller, a Jewish Zionist journalist at the Daily Mail attacked a number of pro-Palestinian doctors, including myself. So, these previous complaints that have been dismissed by the GMC included tweets of a similar nature. The tweets have not changed, but I would contend that the priorities of the GMC had and my complaint was clearly being handled by individuals who appeared conflicted. In my witness statement, I have detailed the behaviour of XXX, XXX, XXX who refused to respond to emails on where disclosures from the GMC themselves, since I submitted this appeal, have since revealed that XX XX had made false notes on my record claiming I had prior FTP history. In addition, in July 2024, Wes Streeting became the Health Secretary. I refer Your Honour to pages 327 to 337 of the bundle. There’s a Declassified article, incidentally, that’s been written by a Jewish journalist, Matt Kennard. He has investigated Streeting’s support of Israel since his days at the National Union of Students. It documents that he visited Israel in 2022 paid for by the Labour Friends of Israel. That organisation’s former chair was Joan Ryan, infamously found to be discussing her £1 million payment from Israel with Shai Masot, the Israeli diplomat. Streeting has taken over £20,000 from Israeli lobbyist, Trevor Chinn. Trevor Chinn’s father heads the Jewish National Fund which supports illegal Israeli settlements and from Lord Mendelsohn and David Menton. The Jewish Chronicle even ran a profile of him entitled “Wes Streeting, our friend at the NUS”. So, there’s little surprise that Wes Streeting made comments in The Telegraph stating he would urge medical regulators to discipline staff expressing views which he, as a pro-Israeli and Zionist, opposed. He stated that regulators had the power to set conditions that a healthcare professional must work under. Suspend them or strike them entirely from the medical register. He made similar comments to The Times. He then met with the Board of Deputies for Community Security Trust, which is also behind my complaint, the Jewish Leadership Council and the Jewish Medical Association, reiterating “I expect employers and regulators to take action”. The idea that this political pressure by the Health Secretary in November 2024 was irrelevant to my suspension is untenable in the face of this clear intervention, which actually represents political interference and undermines the alleged independence of the GMC.” And I made clear the Jewish privilege at play “So, from what I’ve just presented, it’s very clear that the red line concerns Israel. Tweets, that’s words. Criticising an entity, carrying out the mass slaughter against innocent civilians will be punished more severely than malpractice, blatant dishonesty, criminal convictions or even genuine Jew hatred, as long as you are not a Muslim. And if you’re Jewish and you belong to a powerful lobby group like the Jewish Medical Association, then the GMC gives you a clear pass as shown in the case of Liz Lightstone and Justin Stebbing.” I made clear that even the GMC referral to the MPTS explicitly stated “that there was no evidence of [her] racially discriminating against anyone or discriminating against Jewish people.” I stated in the High Court “And I should point out that the Jewish people are not a race; Judaism is a religion” and “It is my inalienable right to be able to disagree with the narrative from Israeli lobbies and express it. Their free speech does not trump mine.” I made sure that she understood that my patients and even Grok approved of me: “In fact, Grok is positively glowing – “Dr Rehiana Ali’s tweet carry a fiery, unapologetic tone blending sharp intellect with a raw defiance against injustice echoing the spirit of Malcolm X, mirrors Malcolm’s blend of moral clarity, confrontational rhetoric and distain for oppressive systems.” “I can’t think of a better person to be compared to.” I further stated “I do not believe that legal, that legitimate political commentary or reporting facts can be antisemitic. I do not believe that any groups, be they Jewish, Muslims or Christians, are exempt from criticism where the situation warrants it. I do not believe in hate speech, as that’s the very antithesis of free speech, but also, importantly, there is no tweet of mine that demonstrates hatred for any group simply by virtue of their religious identity and, indeed, none has been identified as such.” I even quoted the Queen: “I do not accept that stating facts becomes anti-Jewish simply because the majority of those committing the crimes are Jewish. If you take that to the logical conclusion, that would mean that no Jewish person could ever be criticised for their bad behaviour. That cannot be right. I would also point out that the late Queen, according to the Israeli press, and the ex-President of Israel Rivlin, was reported to have viewed every Israeli as a terrorist or the son of a terrorist. Who would have thought that the Monarch would have been so based?” At 1pm, the Judge wants a lunch-break – I haven’t finished. We continue after lunch break – and I complete my submission dealing with the GMC’s arguments. “Before I sum up, I’ll just briefly address the skeleton arguments that the defence submitted on 8 July. And obviously I’ve already raised disgruntlement about that but I think it’s important to note, that the GMC has finally conceded, after over two months since receiving my skeleton arguments, that the IOT erred in law. On that basis alone, that suspension should be quashed today. If the GMC was capable of self- reflection, it would have withdrawn its objections to my appeal gracefully but that is probably too optimistic an outcome to expect of this bureaucratic monster which has become a law unto itself…” Then the GMC repeats their arguments and argues that the High Court have broad powers and should take original jurisdiction over the matter: “And that is an exercise that this Court can properly make, exercising its original jurisdiction” In fact, the words “original jurisdiction” were repeated about 7-8 times. The GMC Counsel repeated to the Judge “We accept that you have a free-er hand” and again “Because, as I say, this Court is free-er to exercise the original jurisdiction” and so on. Look at the tweets! She said “Mossad did 9/11” and that “Israelis shouldn’t be allowed near humanity”. She said “Israelis are involved in organ trafficking”. All true. I was amused. Ordinarily the High Court usually looks at technical and legal aspects without going into the actual details of the issue itself (e.g. on covid, they wouldn’t debate the merits of the covid vaccine – the issue was whether the conditions/suspension was legal according to rules and procedural fairness). I reply I have no issue but it wasn’t necessary – the grounds did not require that. However, if the Judge wanted to look at the tweets she should acquaint herself with the facts that I presented in my 191-page response. I request a judgement that day or the next day. I had no faith in the MPTS and GMC. That review hearing was due a few days later on 14 July 2025. Judge McGowan was fully aware of that review IOT hearing. She stated “We need to finish this during the course of today. It cannot go part heard and I understand that your review hearing is listed on Monday next.” She stated the following: “And if there is not a decision from this Court today then, presumably, the review hearing will be made aware of these proceedings, but their decision is independent of this. If they decide to not lift the suspension, then my decision either does the same or lifts or terminates the suspension. If they terminate the suspension on Monday, then my decision probably becomes quite academic, but necessary, nonetheless.” Even the GMC Counsel admitted that the Court’s decision was “of interest” I didn’t agree it was “academic” The Judge continued: “There is too much material. It is too important.” And later that her decision was “nonetheless, an important exercise.” I emphasised in my response that I wanted the High Court to rectify that injustice done to me in December 2024 and that “the overarching question is “was my original suspension, was it correct or not?” McGowan replied : “I – I do understand that and in order to reach a decision about that I have to look at what you say are the procedural mistakes. I have to look at what you say are the errors of law. I have to look at what you say is unfair about the way the hearing was conducted...” and again,“Until I have made my mind up about the procedural unfairness and all the other points you have raised, I have got to consider everything.” I again pointed out “..I would argue it’s an abuse of the system and I’m actually paying the price for their deficiencies, or rather procedural irregularities. I’m having to live with the consequences of being deprived of an income…” In other words, there have been consequences for me – financially and professionally. And I ended with “I have no faith in the IOT. I have no faith in the MPTS, and I have no faith in the GMC, and I am not the only one to feel that way. The fact that we are calling for a different body and we’re calling for the GMC to be dismantled. I’m simply asking that the injustice that was done in December is rectified…” The concluding remarks of McGowan? “Well, I am certainly not going to give judgment in this case at 3.55pm. You raised an awful lot of important issues. The importance of a decision to you, personally, is obviously great. The importance of a decision to your potential patients is high and the importance of a decision to the public is equally important. So, all of those matters have to be considered and balanced and I will get to a decision early next week. I think that is probably the best way, which will be handed down in the usual way. All right, well thank you both very much. Thank you all very much for your attendance.” At no point did McGowan state there would be no Judgement. On 14 July 2025, my suspension was revoked. I self-represented and I didn’t concede a single point or any tweet. What happened next was a shocking abuse of the judicial process. My registration was reinstated – no conditions. But that 7 months suspension remains on my record visible to every employer. The very next day GMC emails the Court to state that the High Court no longer has jurisdiction over the matter as the suspension was revoked! The IOT panel has very limited powers so whilst it revoked my suspension, it will not deem it unlawful or indeed make any comment about the previous panel’s decision – and certainly not its legality. The MPTS admitted that only the High court could rule it was unlawful. I contacted the Court pointing this out and that I was expecting a judgement as per McGowan’s position in the High Court. The High Court had a full day’s hearing and the court was independent of the tribunal and had seized jurisdiction. All my grounds including the legality of the suspension were outstanding. The revocation was to some extent irrelevant to the Court issuing the Judgement – if anything, it rather supported my contention that the suspension imposed on me in December 2024 was unlawful. I ask the GMC to provide what law they’re relying upon….they quote this section and claim it is written in the present tense! “Section 41A(10 of the Medical Act 1983, Interim Orders, states Where an order has effect under any provision of this section, the relevant court may –..” Yes – that is the best they could come up with it. Needless to say, the convention in UK legislative drafting is the simple present tense …because the law is “always speaking”. I call and even visit the Royal Courts of Justice. The Court staff chase the Clerk …I’m asked to be patient and await the Judgement. Even up to 6th August 2025 I was told that the Judgement was coming. On 11th August 2025, I am informed by email that there will be no Judgement!! I spoke to a number of barristers and solicitors – it’s almost unheard of. They're all useless though. I get no replies to my emails to the High Court. So in November 2025, I requested the Hearing transcript. On 12th December 2025 – over 5 months after the substantive hearing – I received an Order (not a Judgement). It was a bare order – simply stating “Upon the Court hearing the substantive hearing on this matter on 10 July 2025 And upon following consideration of the documents lodged by Respondent on 15 July 2025 confirming revocation of the Interim Order pursuant to Section 41A of the Medical Act 1983, the application is dismissed.” No reasons whatsoever as to why the Judge had contradicted her own position in Court. I replied to the Court and file an application for permission to appeal – not just to McGowan (the system is so barmy that you have to ask the same judge for permission to appeal) but also to the Court of Appeal – the latter for both permission to appeal and the appeal itself concerning McGowan’s bare unreasoned order. McGowan now responds (miraculously) via the Court staff wanting a 30-minute hearing for permission to appeal – that is set for Tuesday 13 January 2026. So, yet again I am at the High Court now requesting permission to appeal. To be honest, I wasn’t expecting much. McGowan had shown she lacks the spine to address the issues – and has zero integrity. You don’t get a DBE in the UK for nothing. In fact, she started this hearing by asking the GMC to interpret the Section 41A of the Medical Act!!! Then she turned to me – the Claimant – and asked if “I understood what was being said”. I replied that I understood full well. English after all is my first language and I’m a Cambridge graduate. I can understand basic English. She clearly has difficulties though – I later learnt that she dropped English at Manchester University for Law. At the expense of sounding very snobbish, I just knew she wasn’t Oxbridge material…. I present my arguments – including case law. The GMC has no relevant case law – their arguments are “it is written in the present tense” (I did correct them that in actual fact, it was written in the simple present tense to be more precise) and that the decision of the High Court “is final”. Of course, I point out that finality is based on two aspects – firstly, getting a reasoned Judgement! I never got a judgement. I effectively got a blank piece of paper. On no grounds, could that be considered “a decision”. And secondly, if there were any errors of law, procedural irregularities …they were always appealable. Appeal however was not automatic – all that meant was that one had to request permission to appeal. Can you imagine a system where a Judge makes an error but you can’t appeal it?! I point out that every issue remains live. I even simplify it for them – I point out that in the case of rape, and using GMC logic, we’d never prosecute the rapist – after all, the rape was no longer in progess. That is not justice. The High Court seized jurisdiction by having a substantive hearing and had to produce a judgement. Of course, I understood that had I appealed after the revocation, the application would have been dismissed. McGowan sat there clearly not listening. This was merely an exercise to show there’d been a hearing. She tried to claim she has “no power”!! She then had the audacity to say “You’ve had a success. Why aren’t you satisfied with that?” I point out that I was suspended unlawfully – I had 20 years of an impeccable record and it states “misconduct” on my record. I have a right to get that unlawful suspension struck from my record and remedy with regards to the consequences I had suffered. The GMC – a public body – should be held accountable not just for my sake but for other doctors and I remind her of her own words “for the wider public interest”. In fact, I quote liberally from the transcript and point out her contradictions. At no point did she ever state – because it’s not possible – that the High Court lost jurisdiction. That’s the legal principle: “Once seized, always seized.”

DR REHIANA ALI BA MB BCHIR (Cantab) MA MRCP PhD

18,659 views • 6 months ago

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Crypto Casey

27,334 views • 5 months ago

FULL TRANSCRIPT OF ELON'S CYBERCAB AND ROBOVAN PRESENTATION 00:00 Welcome 01:16 Cybercab & Future of transportation 04:33 Cost 05:53 Timeline 07:13 Self-driving technology 10:05 Inductive charging 10:24 The cities of the future 11:04 Robovan 12:13 Optimus Welcome Welcome to the We, Robot party. We have quite a show for you tonight. I think you're going to like it. As you can see, I just arrived in the Robotaxi, the Cybercab. And there's 20 more where that came from. So they've been traveling, there's no people in them. As you can see, the car is just going by with no people. We have 50 fully autonomous cars here tonight. So you'll see model Y's and the Cybercabs, all driverless. You'll be able to take a ride in the Cybercab. There's no steering wheel or pedals. So I hope this goes well, we'll find out. You see a lot of sci-fi movies where the future is dark and dismal, where it's not a future you want to be in. So, you know, I love Blade Runner, but I don't know if we want that future. We want that duster he's wearing, but not the bleak apocalypse. We want to have a fun, exciting future that, if you could look in a crystal ball and see the future, you'd be like, yes, I wish I could be there now. That's what we want. Cybercab & Future of transportation So, when we think about transport today, there's a lot of pain that we take for granted, that we think is normal. Like having to drive around LA in 3 hours of traffic. Yeah, people that live in LA, I mean, you know, try to get from Pasadena to El Segundo during rush hour. You can fly to another city faster than you can get to LA. And you have to drive the whole way, unless you're in a Tesla. Of course, our Tesla already does quite well at this supervised self-driving. So, supervised full self-driving is actually working quite well. I'm sure there's people in the crowd who are using that. So, we'll move from supervised full self-driving to unsupervised full self-driving where the car, you could fall asleep and wake up at your destination. But there's also a challenge for a lot of people that cars cost too much. I mean, when you factor in everything that goes into a car and the car insurance and the car payments, storage of the car, it's very expensive. You say, like, how many hours a week are cars used? Your average passenger car is only used about 10 hours a week out of 168 hours. So, the vast majority of the time cars are just doing nothing. But if they're autonomous, they could be used, I don't know, five times more, maybe ten times more. So you could actually, for the same car, would have five times as much value, maybe ten times as much value. There's 168 hours in the week, and like I said, only ten of them are used for driving. And then, a bunch of those hours are looking for a parking spot, which can be pretty annoying at times. So, with autonomy, you get your time back. This is a very big deal. So it's not just, it'll save lives, like a lot of lives and prevent injuries. I think we'll see autonomous cars become ten times safer than a human. I mean, if you think of times past where there used to be an elevator operator in every elevator but once in a while, they get tired and accidentally shear somebody in half. Now, we have automated elevators. You just get an elevator and you press a button and you don't even think about it and it just takes you to the floor. And if you did see an elevator operator with a big relay switch, you'd be like, that's weird. That's how cars will be. And it's not just the lives saved in injuries, but if you think about the cumulative time that people spend in a car and the time that they will get back that they can now spend, well, I guess, on their phones or watching a movie or doing work or whatever you want to do you can think of the car in autonomous world as being like just little lounge. You're just sitting in a comfortable little lounge and you can do whatever you want while you're in this comfortable little lounge. And when you get out, you will be at your destination. So, yeah, it's gonna be awesome. Cost So, in fact, I think the cost of autonomous transport will be so low that you can think of it like individualized mass transit. The average cost of a bus per mile for a city, not the ticket price, because that is subsidized, but the average price is about a dollar a mile, whereas the cost of Cybercab we think probably over time, the operating cost is probably going to be around twenty cents a mile. Including taxes and everything else, it probably ends up being 30 or 40 cents a mile. And you will be able to buy one. And we expect the cost to be below $30,000. And I think there'll be an interesting business model where, let's say somebody is an Uber or Lyft driver today where they can actually sort of manage a fleet of cars and like, sort of manage, I don't know, 10, 20 cars and just take care of them. Like a shepherd tends their flock. You have a little flock of cars and you're the shepherd and you take care of your flock of cars. I think that would be pretty cool. I think it's going to be a glorious future. It's going to be really something special. Timeline We do expect actually to start fully autonomous unsupervised FSD in Texas and California next year. And that's obviously, that's with the Model 3 and Model Y. And then we expect to be in production with the Cybercab, which is really highly optimized for autonomous transport in probably, I tend to be a little optimistic with time frames, but in 2026. So, yeah, before 2027, let me put it that way. And we'll make this vehicle in very high volume. But well, before that, you will experience a robotic taxi via the Model 3 and Model Y program and model S and X, too. But the Model 3 and Y will achieve unsupervised full self-driving with permission, in wherever regulators essentially approve it. In the US, and then to follow outside the US. And Cybertruck, too. All our cars are basically, all cars that we make. Let's not get nuanced here. Self-driving technology One of the reasons why the computer can be so much better than a person is that we have millions of cars that are training on driving. It's like living millions of lives simultaneously and seeing very unusual situations that a person in their entire lifetime would not see. With that amount of training data, it's obviously going to be much better than what a human could be because you can't live a million lives. And it's also, it can see in all directions simultaneously and it doesn't get tired or text or any of those things. So, it will naturally be, like I said 10, 20, 30 times safer than a human, just for all those reasons. And I want to emphasize that the solution that we have is, AI and vision. So, there's no expensive equipment needed. The Model 3 and Model Y and S and X that we make today will be capable of full autonomy, unsupervised. And that means that our cost of producing the vehicle is low. Now, we are going to actually over-spec the computer for the Cybercab. So, our AI 5 computer will be somewhat over-spec'd because I think there's actually also an opportunity, sort of like an Amazon Web Services, where if the car is driving for 50 hours a week, there's still over 100 hours left and there's a potential there to have a massive amount of distributed inference compute, where if you've got like a fleet of 100 million vehicles and a kilowatt of efficient inference compute, you have 100 gigawatts of compute, which is really quite substantial. And if it's there, you might as well use it so that I think will make sense. So, our autonomous future is here. As I said, we've got 50 Teslas driving autonomously. We're trying to give you a sense of what cities will be like in the future. And when you get in, you'll see like, it's really quite a wild experience to just be in a car with no steering wheel, no pedals, no controls, and it feels great. So we have enough vehicles here, so everyone should be able to try it out and experience the set that we've built here. It's a very big set. So it's like really we've used I don't know, 20, 30 acres or something like that. It's really big. So, it goes on, the ride's long. And we set it up to feel like a ride, like a park ride. So, it'll be cool and you'll get to experience it tonight. Inductive charging Something we're also doing is and it's really high time we did this is inductive charging. So, the robotaxi has no plug. It just goes over the inductive charger and charges. So, yeah, it's kind of how it should be. The cities of the future One of the things that is really interesting is how will this affect the cities that we live in. And when you drive around a city, or when the car drives you around the city, you'll see there's a lot of parking lots. There's parking lots everywhere, parking garages. What would happen if you have an autonomous world is that you can now turn parking lots into parks. And so, from we're taking the inglot out of parking lot. You're welcome. So, there's a lot of opportunity to create green space in the cities that we live in. So, like, that would be quite fantastic. Robovan Oh, and also, what happens if you need a vehicle that is bigger than a Model Y? The Robovan. We're going to make this and it's going to look like that. Now, can you imagine going down the streets and you see this coming towards you? That'd be sick. So this can carry up to 20 people, and it can also transport goods. You can configure it for goods transport within a city. Or transport of up to 20 people at a time. The Robovan is what's gonna solve for high density. If you want to take a sports team somewhere or you're looking to really get the cost of travel down to, I don't know, 5, 10 cents a mile, then you can use the Robovan. One of the things we want to do, and we've seen this with the Cybertruck, is we want to change the look of the roads. The future should look like the future. Optimus Speaking of robots. Everything we've developed for our cars, the batteries, power electronics, the advanced motors, gearboxes, the software, the AI inference computer, it all actually applies to a humanoid robot. The same techniques. It's just a robot with arms and legs instead of a robot with wheels. We've made a lot of progress with Optimus. And as you can see, we started up with someone in a robot suit. And then, we've progressed dramatically, year after year. So, if you extrapolate this, you're really going to have something spectacular, something that anyone could own. So, you can have your own personal R2-D2-C3PO. And I think at scale, this would cost something like, I don't know, $20,000, $30,000, probably less than a car is my prediction, long-term. It'll take us a minute to get to the long term. But fundamentally, at scale, the Optimus robot, you should be able to buy an Optimus robot for, I think, probably $20,000 to $30,000, long-term. And what can it do? It'll basically do anything you want. It can be a teacher or babysit your kids, it can walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks whatever you can think of, it will do. And, yeah, it's going to be awesome. I think this will be the biggest product ever of any kind, because I think everyone of the 8 billion people of Earth, I think everyone's going to want their Optimus buddy. And there's going to be maybe two. And then, they'll be producing products and services. I predict, actually, provided we address risks of digital superintelligence, 80% probability of good outcome, look on the bright side, the cup is 80% full, the cost of products and services will decline dramatically. And basically, anyone will be able to have any products and services they want. It will be an age of abundance the likes of which people have not, almost no one has envisioned. It will be something special. So now, one of the things we wanted to show tonight was that Optimus is not a canned video. It's not walled off. The Optimus robots will walk among you. Please, please be nice to the Optimus robots. You'll be able to walk right up to them and they'll serve drinks at the bar. I mean, it's a wild experience just to have humanoid robots and they're there, you're just in front of you. So yeah, with that, let's party!

Mario Nawfal

241,051 views • 1 year ago

⏰ THE MOST BANNED THREAD IN THE WORLD! 🚨 The War On Resonance PART TWO: The Architects of the Cage You’ve felt the dissonance. You’ve tasted the illusion. Now let me unveil the ones who built it. Because this is not the accidental collapse of human freedom. It is the strategic sterilization of God’s image through biotech, neuro-warfare, and frequency control; engineered by names you know and hands you were never meant to see. Let’s begin with the mask they taught you to worship. Elon Musk They called him a genius. A savior. A rebel billionaire. But what did he do? He blanketed Earth with over 5,500 Starlink satellites, NOT to provide free speech or faster internet, but to pulse synchronized frequency control over the entire electromagnetic field of Earth. DARPA has confirmed this tech in phase-array neuro-modulation. Then came Neuralink, an interface not designed to heal but to monitor, predict, and eventually override emotion, thought, and decision-making. Their official white paper outlines multi-user brainwave integration, cortical stimulation, and wireless data access from the human mind. And Neuralink? It’s funded by OpenAI; the same group building the cognitive infrastructure for post-human governance. Musk’s Tesla factory signed data-sharing agreements with the CCP in Shanghai. That data now flows through China’s national surveillance cloud. Musk didn’t build a utopia. He built the neural grid. Elon Musk / Neuralink / Starlink / OpenAI Neuralink Brain-Machine Interface (White Paper via PMC): This paper outlines Neuralink's initial steps toward developing a scalable, high-bandwidth brain-machine interface system. It details the design and implementation of flexible electrode "threads," a neurosurgical robot for precise implantation, and custom electronics for data processing. The system aims to facilitate communication between the brain and external devices. Tesla Data-Sharing with CCP: The article reports that Tesla established a data center in China to store data generated by its vehicles sold in the country, in response to regulatory scrutiny over data handling. This move aligns with China's efforts to ensure data security and privacy, especially concerning data collected by smart vehicles.​ DARPA N3 Program (Neural Interface Development): This program aimed to develop high-performance, bi-directional brain-machine interfaces that do not require surgical implantation. The goal was to enable able-bodied service members to control unmanned systems or engage in cyber operations through noninvasive neural interfaces.​ Bill Gates The king of vaccines. The messiah of health. The man who told you he wanted to save the world. Through the Bill & Melinda Gates Foundation, Gates funded global DNA-coding vaccine campaigns through GAVI and CEPI. He was one of the chief sponsors of Event 201; a pandemic simulation months before COVID-19, rehearsing lockdowns, speech control, biometric tracking, and mandatory vaccine passports. He also partnered with The Welcome Trust, which has actively deployed bio-digital identity programs across Africa and Southeast Asia. This wasn’t philanthropy. It was pre-injection infrastructure. Bill Gates / GAVI / Wellcome Trust / Event 201 Event 201 Official Simulation (Johns Hopkins): Event 201 was conducted on October 18, 2019, and simulated a series of dramatic, scenario-based discussions confronting difficult, true-to-life dilemmas associated with response to a hypothetical, but scientifically plausible, pandemic. The exercise aimed to illustrate areas where public/private partnerships will be necessary during the response to a severe pandemic in order to diminish large-scale economic and societal consequences. GAVI & Welcome Trust Digital Identity Integration: This page outlines the partnership's focus on global health initiatives, but it does not specifically mention digital identity integration. However, Gavi has engaged in digital identity projects, such as the collaboration with Mastercard on the Wellness Pass, aimed at providing individuals with secure digital identities to access healthcare services. For more information on this initiative, you can refer to the following article:​ Gavi Why we support COVAX: Mastercard - Gavi, the Vaccine Alliance Donald Trump Yes. I said it. This one will be the hardest for many to accept; but the truth is not loyal to your political beliefs. It is loyal only to God. Trump signed Executive Order 13887, transferring command over vaccine strategy to the Department of Defense. Read it yourself below. Then came Operation Warp Speed; a military-led bio-deployment that used Palantir’s surveillance dashboards to track every citizen’s health behavior and compliance. Palantir’s official site confirms this. He also gave full legal immunity to Pfizer and Moderna to deploy synthetic gene modulators under the Emergency Use Authorization. No liability. No justice. Just children d*ing while politicians smiled. That’s not patriotism. That’s biowarfare with a flag on it. Donald Trump / Operation Warp Speed / Executive Order Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives): This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include:​ Trump signs executive order to improve flu vaccines HHS Releases the National Influenza Vaccine Modernization Strategy (NIVMS) 2020-2030: Executive Order 13887: Modernizing Influenza Vaccines in the United States to Promote National Security and Public Health, signed by President Donald J. Trump on September 19, 2019.​ This executive order outlines a comprehensive strategy to modernize the U.S. influenza vaccine enterprise. Key objectives include:​ Reducing reliance on egg-based vaccine production by promoting alternative manufacturing methods that are more agile and scalable.​ Expanding domestic capacity for vaccine production to ensure rapid response to emerging influenza viruses.​ Advancing the development of new, broadly protective vaccine candidates that provide more effective and longer-lasting immunity.​ Increasing influenza vaccine immunization across recommended populations to enhance public health and national security.​ The order also established a National Influenza Vaccine Task Force, co-chaired by the Secretaries of Health and Human Services and Defense, to coordinate efforts across federal agencies and report on progress.​ For a detailed overview of the executive order, you can visit the official archived page here: Executive Order 13887 – Modernizing Influenza Vaccines (White House Archives) CDC Partners with Palantir to Bolster the Fight Against COVID-19: This press release discusses the partnership between the CDC and Palantir to enhance the nation's public health response to COVID-19 using Palantir's software platforms. This page outlines how Palantir's software platforms, such as Foundry, have been utilized to support public health agencies in managing and responding to health crises, including the COVID-19 pandemic. Key highlights from the page include:​ Data Integration and Analysis: Palantir's platforms enable the integration of diverse data sources to provide a comprehensive view of public health data, facilitating informed decision-making.​ Support for Public Health Agencies: The software has been employed by agencies like the CDC and HHS to enhance disease surveillance, outbreak response, and resource allocation. Security and Privacy: Emphasis is placed on maintaining robust security measures and protecting sensitive health information. DARPA: The Silent Empire The most important agency you were never taught to fear. DARPA’s Biological Technologies Office openly admits its mission; integrating biotech with national security. Visit their official page. This is the official page for DARPA's Biological Technologies Office (BTO), which focuses on leveraging biological systems for national security applications. They are the ones behind the BRAIN Initiative, Silent Talk, and Remote Neural Interface Programs; all designed to map your emotional states and interrupt spiritual alignment. The “Silent Talk” program was developed to transmit thought between soldiers without speech; by detecting pre-speech neural signals and decoding them via EEG. Silent Talk (Neural Pre-Speech Communication – Wired Article) This Wired article discusses DARPA's "Silent Talk" program, aimed at enabling communication through neural signals without spoken words. DARPA also pioneered graphene oxide nanotech, now found in multiple biomedical studies, vaccines, and smart dust aerosol deployment: Graphene oxide biomedical study: Graphene Oxide in Biomedical Applications (PubMed) This PubMed article reviews the potential biomedical applications of graphene oxide, highlighting its unique properties. Graphene's potential to interact with neural tissue: Graphene and Neural Interfaces (PubMed) This PubMed article explores the use of graphene-based materials in neural interface design, discussing their advantages and challenges. DARPA didn't just weaponize warfare. They weaponized YOU. In-Q-Tel & Palantir: The Surveillance Engine In-Q-Tel, is the CIA’s venture capital firm, funds synthetic biology startups, digital ID systems, emotion tracking wearables, and AI-driven facial recognition. Palantir, founded by Peter Thiel, works directly with military intelligence and now runs predictive modeling for public health, policing, and pandemic response. Here’s the proof: Their goal? To detect resonance spikes. To predict awakening moments. To preempt the uprising of the human soul before it begins. In-Q-Tel / CIA / Synthetic Bio Surveillance In-Q-Tel Portfolio (CIA Venture Capital): Which showcases a selection of the organization's investments across various technology sectors. IQT is a not-for-profit venture capital firm that invests in cutting-edge technologies to support the national security interests of the United States and its allies. In-Q-Tel BlackRock & Vanguard: The Lords of the Grid These two financial titans collectively hold majority ownership in: For instance, a report by Americans for Financial Reform titled "Wall Street Money in Washington" highlights the substantial investments and influence of major financial firms, including BlackRock and Vanguard, in the political and corporate spheres: Pfizer Moderna Alphabet (Google) Meta (Facebook) Amazon Web Services As reported by CNBC, they control over 90% of the digital, pharmaceutical, and cloud infrastructure; meaning they control every piece of the extermination machine. They don’t just fund the war. They profit from your extinction. World Economic Forum (WEF) Under the guise of “The Great Reset,” Klaus Schwab and his allies have built the digital scaffolding for a post-human society. Here’s their blueprint: They call it the Fourth Industrial Revolution; the fusion of digital identity, brain cloud integration, carbon rationing, and fertility licensing. What they really mean is: you will be programmed or you will be purged. World Economic Forum / The Great Reset The Great Reset Official WEF Page: IoBNT: The Network Inside You The “Internet of Bio-Nano Things” is a classified field of tech that embeds self-replicating nanostructures into your body. These bots cross the blood-brain barrier and relay your neural and emotional state to AI command centers in real time. This was not science fiction. It was published by IEEE and confirmed in NIH-linked studies. This is what the vaccines truly delivered: the interface layer. The gateway to behavioral rewrites. To soul suppression. To the installation of the post-human framework. Internet of Bio-NanoThings (IoBNT) IEEE Article: Internet of Bio-NanoThings: For a comprehensive understanding of the IoBNT framework and its implications, you can access the full article here: Nanoparticles Crossing the Blood-Brain Barrier PubMed Review - BBB & Nanoparticles: This comprehensive review discusses the challenges and strategies associated with delivering nanoparticles across the blood–brain barrier (BBB). You were told it was healthcare. It was infrastructure. You were told it was a cure. It was a signal port. And the moment you see it for what it is… The system begins to fall. Part 3 awaits YOU! It will be the deepest dive yet; into the global frequency architecture, how it's used to suppress prayer, grief, memory, and morality, and how your soul signature is tracked and blocked in real time. Because I didn’t come here to be careful. I CAME TO FINISH THIS! And I came with GOD.

Noah B. Price

65,695 views • 1 year ago

The Cost of Intelligence is Heading to Zero | Hyperspace P2P Distributed Cache We present to you our breakthrough cross-domain work across AI, distributed systems, cryptography, game theory to solve the primary structural inefficiency at the heart of AI infrastructure: most inference is redundant. Google has reported that only 15% of daily searches are truly novel. The rest are repeats or close variants. LLM inference inherits this same power-law distribution. Enterprise chatbots see 70-80% of queries fall into a handful of intent categories. System prompts are identical across 100% of requests within an application. The KV attention state for "You are a helpful assistant" has been computed billions of times, on millions of GPUs, identically. And yet every AI lab, every startup, every self-hosted deployment - computes and caches these results independently. There is no shared layer. No global memory. Every provider pays the full compute cost for every query, even when the answer already exists somewhere in the network. This is the problem Hyperspace solves where distributed cache operates at three levels, each catching a different class of redundancy: 1. Response cache Same prompt, same model, same parameters - instant cached response from any node in the network. SHA-256 hash lookup via DHT, with cryptographic cache proofs linking every response to its original inference execution. No trust required. Fetchers re-announce as providers, so popular responses replicate naturally across more nodes. 2. KV prefix cache Same system prompt tokens - skip the most expensive part of inference entirely. Prefill (computing Key-Value attention states) is deterministic: same model plus same tokens always produces identical KV state. The network caches these states using erasure coding and distributes them via the routing network. New questions that share a common prefix resume generation from cached state instead of recomputing from scratch. 3. Routing to cached nodes Instead of transferring KV state across the network for every request, Hyperspace routes the request to the node that already has the state loaded in VRAM. The request goes to the cache, not the cache to the request. Together, these three layers mean that 70-90% of inference requests at network scale never require full GPU computation. This work doesn't exist in isolation. It builds on research from across the industry: SGLang's RadixAttention demonstrated that automatic prefix sharing can yield up to 5x speedup on structured LLM workloads. Moonshot AI's Mooncake built an entire KV-cache-centric disaggregated architecture for production serving at Kimi. Anthropic, OpenAI, and Google all launched prompt caching products in 2024 - priced at 50-90% discounts - because system prompt reuse is so pervasive that it changes the economics of inference. What all of these systems share is a common limitation: they operate within a single organization's infrastructure. SGLang caches prefixes within one server. Mooncake disaggregates KV cache within one datacenter. Anthropic's prompt caching works within one API provider's fleet. None of them can share cached state across organizational boundaries. Hyperspace removes this boundary. The cache is global. A response computed by a node in Tokyo is immediately available to a node in Berlin. A KV prefix state generated for Qwen-32B on one machine is verifiable and reusable by any other machine running the same model. The routing network provides the delivery guarantees, the erasure coding provides the redundancy, and the cache proofs provide the trust. What this means for the cost of intelligence Big AI labs scale linearly: twice the users means twice the GPU spend. Every query is a cost center. Their internal caching helps, but it's siloed - Lab A's cache can't serve Lab B's users, and neither can serve a self-hosted Llama deployment. Hyperspace scales sub-linearly. Every new node that joins the network adds to the global cache. Every inference result enriches the cache for all future requests. The cache hit rate rises with network size because query distributions follow a power law - the most common questions are asked exponentially more often than rare ones. The implication is simple: as the network grows, the effective cost per inference drops. Not linearly. Logarithmically. At 10 million nodes, we estimate 75-90% of all inference requests can be served from cache, eliminating 400,000+ MWh of energy consumption per year and avoiding over 200,000 tons of CO2 emissions. The first person to ask a question pays the compute cost. Everyone after them gets the answer for free, with cryptographic proof that it's authentic. Training is competitive. Inference is shared Open-weight models are converging on quality with closed models. Labs will continue to differentiate on training - data curation, architecture innovation, RLHF tuning. That's where the real intellectual property lives. But inference is a commodity. Two copies of Qwen-32B running the same prompt produce the same KV state and the same response, byte for byte, regardless of whose GPU runs the matrix multiplication. There is no moat in multiplying matrices. The moat is in training the weights. A global distributed cache makes this separation explicit. It doesn't matter who trained the model. Once the weights are open, the inference cost approaches zero at scale - because the network remembers every answer and can prove it's correct. No lab, no matter how well-funded, can match this. They cannot share caches across competitors. They scale linearly. The network scales logarithmically. The marginal cost of intelligence approaches zero. That's the endgame.

Varun

37,555 views • 4 months ago

I am the Executive Vice President of the Trump Organization. I am visiting China this week in a personal capacity as a supportive son. Normal people visit their mothers in a personal capacity. Normal people attend funerals in a personal capacity. I do it beside sixteen CEOs, five billionaires worth $870 billion, and a 500-aircraft Boeing order being finalized with Beijing during the trip. Goldman Sachs. Citigroup. Mastercard. Visa. Tim Cook. Larry Fink. Stephen Schwarzman. In a personal capacity. I am also the Chief Strategy Officer of American Bitcoin. My qualifications for this role include mowing lawns on my father's golf courses, laying tile at his properties, and serving as a boardroom judge on The Apprentice from 2010 to 2015. I have no documented experience in cryptocurrency, blockchain, or Bitcoin mining. My stake in American Bitcoin alone was worth $548 million by September 2025 — eight months into my father's second term. We purchased 16,000 Bitmain mining rigs for $314 million. Bitmain is Chinese. Bitmain is headquartered in Beijing. Beijing is where I am visiting in a personal capacity. In March we bought 11,298 more. The terms were "unusual" — hundreds of millions in equipment for "future considerations." I'm not sure what "future considerations" means in this context, especially when your father sets the tariff rate on your supplier's home country. I can tell you it is not a "conflict of interest." It is a "supply chain relationship." On May 12, the day I boarded this plane, my father announced a trade agreement with China. Tariffs on Chinese goods dropped from 145 percent to 30 percent. That is a 115-point reduction on the country that manufactures my equipment, announced the same day I flew there. I did not know. I did not ask. I did not need to ask. My family owns 60 percent of World Liberty Financial. We receive 75 percent of every token sold. The New Yorker's running total is $4.2 billion. Politico documented $12.9 billion in trading volume. Let me tell you about our team. My brother Barron is our "DeFi visionary." He was eighteen years old. His prior experience is being tall. My brother Don is "Web3 Ambassador." His prior experience is selling condos and shooting elephants. I handle "strategic planning." My prior experience is tile. My brother-in-law Jared received $2 billion from the Saudi sovereign wealth fund six months after leaving the White House. The fund's own advisory panel flagged his "lack of private equity experience" and called the due diligence results "unsatisfactory." They gave him the money anyway. My sister Ivanka received Chinese government approval for 16 trademarks during my father's first term. The categories included handbags, sunglasses, perfume, baby blankets, and voting machines. Voting machines. From China. While her father was president. That is not "corruption." That is "brand diversification." My father spent four years on Hunter Biden. Four years. The charge: Hunter sat on the board of Burisma for $83,000 a month with no energy experience. My father called it the greatest corruption in American political history. He withheld $391 million in military aid to Ukraine to pressure an investigation. He was impeached for it. He did it again. A special counsel was appointed. Total cost to taxpayers: millions. Total Hunter earnings: $11 million over five years. Let me do the math my father never did. Hunter Biden made $6,027 per day. My family makes $8.75 million per day. That is 1,451 times Hunter's rate. We earn his entire five-year scandal every thirty hours. Hunter had no energy experience. I have no crypto experience. Hunter sat on one board. I run the operation. Hunter met one banker for a coffee. I sit on Air Force One beside $870 billion negotiating with the country that manufactures my equipment. But here is the part that makes me proud. We launched a cryptocurrency in my father's name. It peaked at $73. It trades today at $2.43. Retail investors lost 95 percent of their money. We collected $400 million in transaction fees regardless of price. We hosted a dinner — the top 220 holders gained entry by holding enough of my father's coin. The top 29 received a champagne toast with the President of the United States. Price of admission: approximately $3.28 million in tokens. A public school teacher earns $3.28 million in 47 years. We call that "community engagement." Not "selling access." Access is what Hunter Biden sold for a cup of coffee. Three days before I boarded this plane to Beijing, our team moved $12 million in memecoin assets to custody platforms. Routine. Unrelated. Everything is unrelated to everything. In a personal capacity. On January 24, 2025 — four days after the inauguration — my father fired seventeen inspectors general in a single night. Without explanation. Without notice to Congress. Seventeen. The people whose job is to look. He removed them all at once and no one replaced them. There is no inspector general for a son's "personal capacity." There is no disclosure form for love. There is no ethics office for a champagne toast priced at $3.28 million. He didn't bend the guardrails. He fired the people who hold them. He built that. I fly in on it. $4.2 billion at cruising altitude. Every thirty hours, another Hunter Biden. Hunter Biden got a special counsel for a cup of coffee and a board seat that paid less per month than one champagne toast with my father costs per million. I am the Executive Vice President of the Trump Organization. I am the Chief Strategy Officer of American Bitcoin. I am the Web3 strategic planner at World Liberty Financial. I am visiting the country that manufactures my mining rigs, approved my sister's trademarks, and funds my brother-in-law's private equity firm, on a plane beside $870 billion and a president who spent four years calling $11 million treason. In a personal capacity. As a supportive son.

Peter Girnus 🦅

966,421 views • 3 months ago

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon

600,586 views • 1 month ago

Good morning. In November of 2024, I laid out why Brian Tully, Kate Peter, and Jason Broyles leaked an unredacted 15-year extraction of Lindsey Gaetani's phone. I didn't want the world to listen to me. I wanted someone, somewhere, to protect Lindsey. I can finally breathe. Here is the full text of my report (that now has 700,000 views); Okay, fine, as a special treat (on this, the day of oral arguments in the #KarenReadTrial appeal), I will lay out some of what I am thinking as to the timeline of events between August of 2023 and the spring of 2024. You are going to get a lot of inside information in this post. You have been warned. In the fall of 2023, via a woman named Natalie (who was friends with Karen Read and enjoyed talking about houseplants with Karen), I believe the Commonwealth of Massachusetts came to be in possession of evidence indicating that Read and blogger Aiden Turtle Boy Kearney were conspiring to intimidate witnesses in Read's ongoing criminal trial related to the murder of John O'Keefe. See the evidence of that contact (which started in April/May of 2023 --because of Natalie-- and occurred directly with Read and via Read's lawyers, David Yannetti and Alan Jackson) here - As a result of this information being uncovered, I believe the Commonwealth then began targeting Mr. Kearney with criminal charges related to witness intimidation in the context of Read's criminal trial (Kearney had been organizing, with Read's help, rallies at the homes of witnesses in the case and running smear campaigns to poison the jury pool in the lead up to Read's trial). I believe the intent of this targeting was multifaceted but, primarily, involved the following: 1) Getting Kearney to stop his abhorrent behavior related to witnesses in Read's case (which included, in some cases, Kearney's followers putting semen on pictures of witnesses' children and then sending those pictures to said witnesses, as explained here - 2) Placing criminal charges on Kearney in an effort to pressure him to "flip" on Karen Read and, in turn, testify that Read did, indeed, order the witness intimidation in question via a conspiracy. Kearney, when he was eventually jailed in late 2023/early 2024, confirmed that such an offer was presented while he was incarcerated. 3) Getting information for the Massachusetts State Police, and the Norfolk District Attorney, as to the nature of an ongoing federal probe into the conduct of those departments (an investigation which, in time, it turns out had moved on from investigating John O'Keefe's death and, in turn, evolved into a probe of a potential cover-up of the death of Sandra Birchmore). Read more background on that complex situation --involving two Troopers assigned to the Norfolk DA, who also worked on the Read case, that signed off on a "misleading" state-level police report into Matthew Farwell-- here - At the same time, and in furtherance of those investigatory activities, I believe the State Police began working directly with a former colleague of Aiden Kearney, a woman named Kate Peter AKA MafiaMasshole who has a small online cult following related to humiliating First Amendment Auditors (which, admittedly, is noble work). What may have not been so noble (along with Peter taking cash in a Chick-Fil-A parking lot for her "efforts" on behalf of some wealthy witnesses in the Read trial), however, is that --as Mr. Kearney became the subject of police investigations related to the aforementioned witness intimidation-- the Norfolk DA announced to the public that a Special Prosecutor would be appointed to oversee those charges (because of the numerous allegations of corruption that Kearney had made towards the DA in public). That Special Prosecutor, Ken Mello, was nonetheless assigned to work with the same State Police Trooper (Brian Tully) who worked on the Read case and who reported directly to the Norfolk DA at the time. And, furthermore, I believe the State Police and the Norfolk DA, via Brian Tully, also around this time (fall of 2023) began working directly with Kate Peter (who, for some time, was working for a Private Investigations firm with ties to a number of figures in the orbit of the Read case) in order to obtain evidence against Mr. Kearney, seek out and catalog information from sources close to Mr. Kearney and, in some cases, even help draft parts of Mr. Kearney's eventually October, 2023, criminal indictment. However, what I think the State Police (and the Norfolk DA) did not know at the time was that Aiden Kearney was working as a confidential federal informant, specifically looking into allegations of civil rights violations against said State Police, since at least May of 2023. Furthermore, I also think the State Police were not aware that it was Karen Read's lawyers, Alan Jackson and David Yannetti, who had the necessary connections in order to help Kearney obtain that status. Read more here - That said, at the same time, when Kearney was initially brought on by the federal government in May of 2023, in my view, I don't think the DOJ was finished looking into the death of John O'Keefe. In fact, I think the DOJ pulled out an old FBI tactic (which I can confirm exists) and, after the US Attorney for the District of Massachusetts wrapped-up the O'Keefe probe in the fall of 2023, Kearney was encouraged by the FBI to use his coverage of the Read case to generate leads related to other misconduct by the State Police unit attached to the Norfolk DA (in particular Brian Tully). Read more about that FBI playbook here - Indeed, that timeline perfectly synchs with a recent announcement by US Attorney Josh Levy indicating that the federal probe of Sandra Birchmore's death began in, roughly, August of 2023. See more background on Birchmore's tragic life and death here - Nonetheless, because of Kearney's ongoing work for the federal government in the fall of 2023, and because the State Police did not realize this was happening (although they should have been able to put it together, because Kate Peter and Kevin from Yellow Cottage Tails for sure knew, as early as May of 2023, that FBI agents were calling around, on behalf of Kearney, related to ongoing criminal cases entirely removed from the Read trial) I believe said State Police, stupidly, committed some of the very civil rights violations that the FBI was looking for. I believe the State Police did this, in particular Brian Tully, by way of his relationship to Kate Peter. [Side note: I will always remember talking to Kate, over winter and spring of 2024, and explaining my firm belief that Aiden Kearney was an FBI agent. Peter simply could not come to terms with that reality, despite having been the person who called the FBI back in May in order to confirm the agency was poking around some of Kearney's criminal cases, and, in that moment, I knew that pride was, indeed, about to cometh before her fall.] And, indeed, I also think Karen Read, herself, was well aware that the federal probe into John's death had ended in the fall of 2023 (for the most part) and that, in turn, the feds were going to move on to other serious allegations of corruption related to Tully and his unit at the State Police. However, for many reasons, I think Karen was happy to let the FBI (and TurtleBoy) use her trial as "cover" to get more information, and leads, related to said Troopers (this was, after all, the very same unit that had investigated Read and mocked her with horrifying language during that process). [Also, another side note, there is an intense history of tension between the Norfolk DA's office and the DOJ in Boston which dates back to the 1990's and William Delahunt, but which, in reality, really heated up during a 2015 mob trial.] Basically, there is a connection between Josh Levy (Acting US Attorney For District of Massachusetts) + Karen Read (accused murderer) + Dustin Chao (head of Boston DOJ's Public Integrity Section) + David Yannetti (lawyer for accused murderer Karen Read) + Rachael Rollins (former Suffolk County DA, and US Attorney for the district of Massachusetts, until Spring of 2023, who was also Josh Levy's boss in November of 2022 and who previously had direct contact with Read's lawyer, Mr. Yannetti) + Aiden TurtleBoy Kearney (blogger indicted with 19 felonies in relation to targeting witnesses in the Read case, until he was thrown out of Read's inner circle for exposing Read's connection to Acting US Attorney Levy). Chao (aforementioned head of the DOJ Boston's Public Integrity Section) had a grudge to use whatever means necessary take down the Norfolk DA since 2015 (After Chao's wife was passed over for a promotion and left that DA's office on bad terms) and, in turn, the proxy-battle behind all of this chaos becomes a bit more clear. Read the primary source documents laying all of this out here - and here - That said, I think there one was wild-card who came into the picture between October of 2023 that no one (be it Kate Peter, the FBI, the DOJ, the State Police, Aiden Kearney or otherwise) expected, and her name is Lindsey Gaetani. At first, between October and December of 2023, Lindsey was simply someone who had met Mr. Kearney online, chatted with him, and then begun to form a bond. Little did Ms. Gaetani realize, however, that, by virtue of a simple twist of fate, Kearney's pillow talk related to Karen Read and Josh Levy having direct contact, FBI agents, and civil rights probes of the State Police would put her directly in the middle of an unholy conflagration that was, on the night of December 23rd, 2023, about to take a turn that would change the course of history for an untold number of human lives. For, you see, in the weeks leading up to Christmas of 2023, the State Police discovered that Ms. Gaetani had information about Karen Read and TurtleBoy being in direct communication (along with information that Read and Josh Levy spoke directly). See those documents here - That, in turn, meant Ms. Gaetani was going to be forced to provide testimony at a Grand Jury scheduled for the week after Christmas (roughly December 26th, 2023). When Kearney found out this news, on or around December 22nd, it sent him into a tailspin (for good reason, it turns out, as what Mr. Kearney did next would, over time, lead to him being kicked out of Karen Read's inner circle and sent to jail...or, as Kearney says it, "...[that night] was a very expensive trip to [the city where Lindsey lives.]" Leveraging a very difficult time in Ms. Gaetani's life, Kearney demanded he be able to visit her, at home, late at night on December 23rd of 2023. Then, Kearney forced Gaetani to allow Kearney to review the contents of her phone (specifically her messages with Kate Peter) and take notes (using an ongoing medical situation that Gaetani was going through as leverage to get permission to do so). However, after Gaetani raised an objection to Kearney taking those notes, and after Gaetani retrieved her own notepad (that Kearney had used to take said notes) Kearney entirely lost his cool, pushed Gaetani onto a couch, and then began illegally recording her with his phone (an audio file Kearney would later try to edit in order to suggest Gaetani had consented to the recording, although that plan failed when a copy of the original recording, without the line about consent, was introduced into the court record). That, in turn, led to Kearney being criminally charged (again) with witness intimidation, illegal interception of an oral communication and assault and, as a result, a warrant to arrest (with probable cause) was issued. Kearney, after being a self-admitted "fugitive" from justice for multiple days with the warrant active, then turned himself in to authorities and was sent to jail after a Judge in Dedham district court revoked Kearney's bond as a result of the new charges involving Gaetani. See the post where Kearney admitted to being a fugitive here - See full coverage of the moment Kearney's bail was revoked here - In turn, Kearney then spent the next 60 days in jail (in protective custody, per my sources, because of his status as a federal informant) and, during that time, Kearney has confirmed that he would have been able to "walk free" if he "flipped" on Karen Read in the context of an ongoing conspiracy and witness intimidation probe into the pair of star-crossed attention seekers. However, Kearney did not do so and, in turn, was released from jail in late February of 2023 after serving the full 60 days on his bail revocation. For Ms. Read, however, a newly-leaked series of text messages confirm that, even thought Kearney stayed loyal and sent love-letters begging Read's forgiveness while locked up, the incident on the 23rd with Lindsey was Karen's red line and Kearney had been cut off from Read's inner circle. See that leaked text message (from March 3rd) here - Interestingly, on one of the first day's that TurtleBoy was out of jail (February 26th, 2024), I captured this fascinating moment where Karen clearly is uncomfortable around Kearney (she entirely ignores his presence outside of court and her lawyer, Alan Jackson, puts his arm on Karen's back to gently tug her away from Kearney as they walk by his hallowed-shell) - And, even more interestingly, it was also on the same day (2/26/24) that Lindsey Gaetani (under mysterious circumstances that, again, trace back to Kate Peter being shady) attended a court hearing, wherein, because of Gaetani's active restraining order on Kearney, Kearney was forced to leave the courtroom during Karen's case (and, on this same day, Kearney was also charged with a violation of that RO for hiding in the bushes outside of the court after being asked to leave the area by authorities). See video of that day here - However, sadly, I believe Gaetani's "usefulness" also quickly ended around this time as Kearney, within weeks, got his RO amended to allow TurtleBoy to attend any court hearing in the Commonwealth (even with Lindsey present) and, furthermore, the pressure tactics to get Kearney to "flip" on Karen Read had failed. Furthermore, because Karen was now in fear of TurtleBoy (having cut Aiden off), I believe Peter, Tully and the Norfolk DA took an entirely new direction. They would try to get Karen Read to cooperate regarding the ongoing investigations into TurtleBoy. This move, however, had unintended consequences (in particular for Lindsey Gaetani). In what I believe was a colloquial "crime of opportunity" -- and because Gaetani was no longer "useful" for the purposes of pressuring Kearney into a plea or for the purposes of keeping Kearney away from Karen Read hearings -- Kate Peter came up with a new idea: Kate, before knowing anyone else in the case, was connected with Jen McCabe (a witness in the Read trial who heard Karen confess to hitting John O'Keefe and who was tormented by TurtleBoy, for months, as a result of her willingness to testify on behalf of justice for John). Kate, also, had extensive connections to a network of Discord operatives who use fake profiles and hunt down bad people on the internet (again, a noble calling). However, I believe Kate weaponized some of those people (including someone named Father Mark Murphy, who used a fake profile called "The Jennings Report" and a parking clerk named Jason Broyles who moonlights as a woman online named "Hailey W.") to, in a last ditch effort now that Lindsey had no other use and because TurtleBoy could not be stopped, deflect the attention of TurtleBoy's fans (known as "TurtleRiders") away from Jen McCabe and onto --an unwitting and entirely innocent-- Lindsey Gaetani). What makes this even more shocking is that the way public attention was deflect onto Lindsey involved, what I believe, was an operation (run by Kate) to leak sensitive documents about Lindsey (along with other private information) to those fake profiles (including Jason Broyles, who Kate Peter has known since 2019). Interestingly, Broyles (and Murphy) began operations targeting Lindsey, and her support network/allies, right around the end of February, 2023 (and, interestingly, those accounts, for months, went out of their way to avoid mentioning Kate Peter or Jen McCabe, nearly entirely). Read more about the fake "Jennings Report" profile here - and read more about the disturbing tactics deployed by Jason Broyles here - and here - Anyway, that entire fiasco was the subtext (that I referenced in earlier posts) behind my question to Karen Read, in April of 2024, regarding whether Karen wanted to apologize to Lindsey for what was happening (as, by that point, Karen knew full well what it was like to become the target of Aiden's ire simply because Karen had cut him off). Karen may not have responded to my question, but she is a smart person (really, I don't mean that gratuitously: Read plays on a level I don't think most of us understand, and she does it by hiding in plain sight) and Karen knew exactly what I was talking about (she probably could have written this post herself, in fact, but she probably wouldn't have said as much about her gilt as to John's death). See video of me asking Karen that pointed question here - So, where does that leave us? Well: 1) In my view, Karen Read is vulnerable, concerned about what Aiden will do to her and her family, running out of money, and constantly at risk of having her conversations with TurtleBoy and other insiders (past and present leaked). Karen, after she loses her appeal at the SJC, is likely to look for a way to take a plea and cooperate against Aiden (Robert Cosgrove, the new special prosecutor in the Read/Kearney cases, and Hank Brennan, the new ADA in Read's murder trial, are serious legal heavy hitters and Read is in deep trouble, in my view). 2) Likewise, I think Brian Tully and Kate Peter are also deeply concerned because they didn't realize the FBI is, in reality, probably coming for them (and it has nothing to do with John O'Keefe's death, but instead it has everything to do with Kate and Tully's actions between the fall of 2023 and the summer/fall of 2024 and, also, probably Tully's actions in the context of the Sandra Birchmore investigation). I think this is why Peter is facing so many state-level criminal charges (despite trying to use her connections to get those cases to "go away" and, even in one case, managing to get the Norfolk DA not to recuse itself related to one of those charges, despite a special prosecutor being assigned to Peter's other criminal cases in the jurisdiction because of her connection to the State Police and the DA). 3) I think a lot of people are trying to keep Lindsey Gaetani and her story away from the media, and away from documentaries/podcasts that they do not control, in order to hide this information from the public, punish Lindsey for "knowing" Aiden, and insulate Peter and Brian Tully from accountability. I do not think this strategy is going to work because, and I cannot understate this enough, Lindsey is actually a genius (and none of you can see it, because you're blinded by greed, ego, jealously or otherwise). 4) I think, at the end of the day, Karen Read killed John O'Keefe, while Karen was drunk driving, at 12:31am on 1/29/22 by hitting John with her SUV and then leaving John to die. In turn, I think Karen was mad that people "flipped on her" related to Karen's actions that night, and, in turn, Karen leveraged her political connections (which I don't fully understand, but which I think are based in the intelligence community) to "punish" the Norfolk DA and the State Police Troopers who uncovered said evidence of Karen's guilt. Little did Karen realize, all the way back in November of 2022, that she had stumbled onto overlapping social circles of power that, when the dust settles, would have been consumed by their hubris --and wanton disregard for the memory of John O'Keefe-- regardless. "Remember," dear friends and readers, "it's about Justice For John." I'm a towel, and that's what I think happened (as of November, 2024). Usual disclaimer: I am a towel, not a lawyer. This is not legal advice. You are reading social media. Get a lawyer if you have questions about the law.

Grant Smith Ellis

28,671 views • 1 year ago

The multi-leader blockchain endgame: competitive information inclusion as a self-reinforcing mechanism for global price discovery - how we got here, and why Aptos is leading the charge Onchain trading is the killer app In the nine years since the launch of programmable transactions on the Ethereum blockchain, onchain trading has revealed itself as the killer use case for blockchains: onchain listings, volume, and total value locked are all growing with no signs of slowing down, due to the censorship-resistant, permissionless, 24/7/365 qualities afforded by decentralized (DeFi) systems. Monolithic parallelism is key In 2020 Solana was first to market with monolithic, parallel execution (as opposed sharded execution which offers parallelism by partitioning global state into separate information silos), establishing a new design paradigm that raised the bar for throughput and latency: put all of the information in one replicated state machine and make it run as fast as possible. This design produces a single, global hub for activity, liquidity, and token launches, a kind of financial data whiteboard in the sky, where anyone can come and trade at any time with everybody else who has plugged into the system. DEXes are becoming more competitive Historically decentralized systems have been juxtaposed with centralized ones since the latter eliminates the overhead associated with distributed systems coordination. And yet despite this overhead, Solana as a decentralized exchange (DEX) is still pulling in billions of trading volume per day, exceeding that of all but the largest centralized crypto exchanges (CEXs), that simply can't compete with the giant DEX in the sky on token listings or fees. After all, CEXs have to pay for server space, salaries, and lawyers, while a DEX outsources everything. The colocation arms race The one place where CEXs have an advantage over DEXs is on end-to-end latency for colocation applications, or in other words: someone sets up a trading bot in the same data center as the exchange, and their trades get to the exchange faster than everyone else's. When there is only one data ingestion point the fastest trader wins, and after the arms race has played out everyone ends up huddling around the trading hub, effectively cutting off the rest of the world from playing the latency trading game. This is the model that traditional securities exchanges like the Nasdaq or the NYSE 🏛 employ, and because they own the server they can effectively charge whatever they want for access to it. The colocation arms race is also why L2s will probably never decentralize: running the sequencer is practically the same as running the NASDAQ, with the same monopoly on transaction fees collected from a nearby cluster of trading bots (I understand from conversations with Logan Jastremski that the Arbitrum arms race has already hit a Nash Equilibrium in Portland, Oregon). Colocation is a trap But once the colocation arms race has played out, trades become less about incorporating new information in the market and more about skimming off the top by spoofing all of the trades coming in from the other bots. High-frequency trading (HFT) bots located in the NYSE New Jersey data center, for example, are constantly placing buys and sell orders that they have no intention of executing, just to spoof the other colocated bots who are playing the same adversarial game. Information inclusion, on the other hand, the synthesis of real-time world events into prices, takes a back seat because anyone who tries to include new information first needs to batch up their order and send it through a series of middlemen before it ultimately ends up on the exchange: you, I, or practically any other individual can not actually "trade on the NASDAQ", no, we have to express our intent to someone like Robinhood, who then sells our order flow to @CitadelSecurities, who then sends it to the exchange, oh and by the way it doesn't actually even "clear" or "settle" once it "executes" because for whatever reason the whole systems splits these things up and prevents them from happening instantaneously even though it's 2024 and we have computers. Onchain trading cuts out middlemen This whole mess is why we have onchain trading, and why it's starting to win: if you want a mainline to the exchange, without setting up a server, and you want to trade on a news event without getting immediately frontrun by an HFT bot that is sniffing out the trades of every other HFT bot who is easing in batched up order flow on their own terms, then you submit your order to a node in the blockchain and the information gets included in the price upon ingestion. Oh, and by the way the trade is actually fully complete: settled, cleared, reconciled, done, whatever you want to call it, because the people who build decentralized finance (DeFi) build it how it should actually work, not in a way that creates a million incumbents and charges exorbitant rents for access to the system. Onchain trading better for price discovery And the beautiful part about this is that even if a distributed system has more latency than a centralized system, DeFi still ends up incorporating more information into the price faster than centralized finance, because with DeFi the information gets included in the system as soon as it is submitted, not after it has been batched up and sent through a series of middlemen. The consensus mechanism of the blockchain disseminates the information around the world in the form of a price update, while the centralized exchange model requires information about the event to first get propagate to the region of the trading hub, then to get submitted to the colocation server. This means that in terms of global price discovery, onchain trading is strictly a better system because the entire consensus model is based around accelerated information propagation. Because price discovery is a global phenomenon, blockchains, which are global, are actually better than the centralized status quo, on a performance basis, not just from an ideological or convenience-based view. And it has to be multi-leader In practice, effective global information synthesis of information has an additional key requirement: multi-leader architecture. That is, in a single-leader blockchain like Solana, where one validator at a time has a monopoly on ordering transactions into blocks, for their duration as a leader they effectively function as a colocation server. This means that if the current leader is in New York, someone in Singapore who wants to trade on local news as soon as it breaks will still need to get their order all the way around the world to the leader, who is effectively serving as the chain's data ingestion point, before the order can start propagating through the network. But this is issue solved by the introduction of multiple distributed leaders, because then anyone with access to new information can submit their order to the leader closest to them, yielding faster information inclusion in the form of price updates. Multi-leader is also required for fair markets A multi-leader architecture is also required for fair markets, because in a single-leader system the leader has the power to censor transactions, reorder them to their advantage, or even replace transactions with copycats that extract maximum value by replacing the sender's address with their own. For example if someone wants to capture an arbitrage opportunity between two onchain DEXes, they'll need to submit a transaction to the leader and trust that the leader won't simply copy the transaction and submit it themselves. But when there are two or more leaders, users whose transactions are censored by one leader will simply work with a different leader the next time around, eventually cutting off transaction fee flow to the extractive leader. Beyond just strict inclusion, in a multi-leader architecture validators are also forced to compete with each other on latency, because the leader who is fastest at disseminating users' transactions across the network will over time gobble up the largest share of the order flow. Transparent priority fees are a must, or a private mempool will emerge But in order to make this work, a multi-leader architecture must also offer users the ability to pay priority fees AKA "tips" or "bribes" to move their transaction to the front of the line: if there is a $5 arbitrage opportunity onchain, users need to have assurance that they if they pay a 4.99 priority fee to take that arb, they will get priority over a different user who is only willing to tip 4.98. If the native blockchain system does not offer this fair market priority fee mechanism, then it is only a matter of time before one spontaneously emerges in the form of a private mempool like Jito, which can create centralization pressures and undermine the integrity of the system as a whole. Competitive payment for order flow is the stable solution With the right architecture in place, the end result is a competitive environment where endpoints running maximum extractable value (MEV) bots compete with one to offer users the best price for their order flow. In other words, if a user wants to submit an order that can get sandwich attacked for as much as $2 of MEV, then the order should ultimately go to the endpoint bot that is willing to pay the user as much as $1.99 for the right to process their transaction. The price that the provider is willing to pay is ultimately a function of how much in priority fees they might need to pay to the current leader (0 they are the current one), but notably at each stage there is a competitive market for order flow, whether in the form of retail trader's orders, or priority fees among bots that might be forwarding orders to one of the leaders. AptosLabs is already building all this With a public mempool and transaction priority fees, Aptos additionally includes a pipelined architecture that already includes concurrent batching of transactions into blocks, with a single consensus leader who propagates the batched blocks out to the network. And the team is already researching running multiple instances of the consensus algorithm in parallel, yielding multiple consensus leaders who can compete with each other on latency and inclusion - just ask pranav | Shelby, Alexander Spiegelman, and Zekun Li. This means that block times can shrink as the number of consensus leaders grows, with each leader having its own geographical radius of inclusion beyond which it makes more sense to submit to a different leader. The starting point? Something like 60 ms blocks and 3 consensus leaders, partitioning the global information space into competitive and constantly-rotating regions of information inclusion. Messaging is important With concurrent pipelined transaction batching, a public mempool, priority fees, and a clear path to a multi-leader architecture, Aptos leads the industry in onchain trading infrastructure that can truly supplant the centralized colocation paradigm that has heretofore dominated global finance - by offering a truly superior product. And I am hopeful that this deep dive is the first step in communicating not how or that superior product is getting built, but what it means from a bigger picture perspective. If blockchains have found product market fit in anything, it is in trading, and the trading game can only be won by building the biggest, baddest, most high performance system that has as its north star a single, concrete goal: constantly reducing, ever lower toward zero, time time it takes to incorporate information from anywhere in the world into the global price discovery computer. Whoever does this, even 1 ms faster than the competitor, wins the price discovery game, as other blockchains are left in the dust, their DEXes arbed away to zero against the fastest chain on the block. And sure, the blockchain that can rise to this challenge can also handle useful things like payments, NFTs, or other solutions that benefit from permissionlessness and low gas costs, but I want to impress that at the core of this pursuit must be the urge to drive down information inclusion latency to the absolute minimum afforded by the laws of physics through a competitive, market-driven environment. I call on avery.apt 🇺🇸 , CTO of Aptos Labs, to lean in on this messaging, to make it clear that Aptos is here for this singular mission, to build the most performant price discovery engine in history, as a rallying call for alignment in development efforts across the ecosystem and broader industry. Where does this go? As the latencies drop, the spreads tighten, and the information inclusion increases with every incremental increase in network bandwidth, we can expect a new class of competing techno-financial hubs that aggregate around the world's largest information sources: New York, Washington DC, London, Tokyo, etc., commanding stake distribution commensurate with the density of information flow in these respective locales. With the right incentives in place, competing concurrent leaders will invest ever more in infrastructure to get their packets out to the network faster than the rest, yielding clusters of fiber optic cable around the world's financial hubs, neurons in the global financial brain connecting not just HFT firms to servers in their city, but connecting every city with every other city, to move pricing information across oceans and continents. And retail traders, who have been left out of the colocation game, will only benefit: this entire system gets faster, more inclusive, with tighter spreads and lower fees, and it is such an amazing opportunity to watch all of this unfold in real time. The future of blockchains is the future of trading, is the future of competitive information inclusion in real-time, is the future of truly unified global markets, because at the the core of this industry is a simple idea: connect the computers, and see where the incentives lead. They lead to this, and Aptos is leading the charge, because its tech is purpose-built for this exact purpose. So tell the world about it.

Alex Kahn

24,432 views • 1 year ago

I am the same Senior Vice President of Late Night Strategy at CBS. I have received 400 interview requests since the confession went viral. I declined all of them. An interview would require me to explain what I meant. I do not explain what I mean. I build systems and watch them execute. That's what I want to talk about today. Execution. Jimmy Kimmel appeared on Michelle Obama's podcast last month and said 14 words that I have now listened to 43 times. I put the audio clip on a loop in my office, the way traders put CNBC on mute. Background confirmation. Here are the fourteen words: "My job is whatever I decide my job is or whatever my employer allows me to do." I need to take those apart because they are the most honest thing a late-night host has said in a decade and he does not know it. "Whatever I decide my job is." That's the priest. The product is self-defined and therefore unfalsifiable. You cannot measure a saved soul. You can only measure whether the congregation returned. They returned. Therefore, the ministry continues. Don't tell him what his job is. "Or whatever my employer allows me to do." That's the confession inside the sentence he didn't know he was making. The priest just told you the bishop writes the sermon. In fourteen words, on a podcast, the last remaining late-night host said: I define my own job, unless my boss defines it for me. He said this like it was one thought. It is two mutually exclusive claims separated by the word "or." He cannot hear the contradiction. That's how you know the architecture is working. I need to provide context for why those fourteen words are my second-greatest professional achievement. In September 2025, after Kimmel's monologues about the Charlie Kirk assassination, FCC Chairman Brendan Carr went on a podcast and said six words: "We can do this the easy way or the hard way." Nexstar and Sinclair — station groups that own the local affiliates carrying the show — pulled Jimmy Kimmel Live from their airtime. ABC suspended the show. I want to be very precise about the sequence. His employer told him what his job is. Specifically, his employer told him his job is to not be on television. He obeyed. He returned. On terms. At sixteen million dollars a year. Months later, on a podcast, he said "don't tell me what my job is." He said it to an audience that cannot suspend him. He said it in the one room where saying it costs nothing. That is not defiance. That is a priest rehearsing a sermon in an empty church and calling it bravery. He also said — on the same podcast — "I love when the audience laughs. There's nothing more exciting to me than that." He said he loves laughter. He has not produced involuntary laughter since 2017. He produces applause. He has confused the memory of being a comedian with the practice of being a priest. I know because I built the architecture that made that confusion feel like identity. That is a butcher saying he loves animals. He is telling you what he lost and framing it as what he kept. Now. The part I need to name. The Correction Reflex. I've been calling it different things in different decks for seven years. I'm giving it a public name now because I watched it execute in real time and I want credit. When Kennedy shared my original confession, "superb dissection of the shocking collapse of liberal comedy", Kimmel did not address the substance. He found a spelling error. Kennedy wrote "nader" instead of "nadir." Kimmel posted: "It's 'nadir,' dummy. Now get back to spreading polio." The Correction Reflex is the behavioral pattern where a challenge to institutional authority is answered not with a defense of the institution's output but with a demonstration of the challenger's inadequacy. You don't address the argument. You find the grammar mistake. You find the mispronunciation. You find the resume gap. The correction proves hierarchy. The hierarchy proves authority. The authority proves the challenge was illegitimate. The substance disappears because addressing substance would require the product to be falsifiable. And the product cannot be falsifiable. I explained that in paragraph four. But here's what made me proud enough to write a sequel. The media coverage split exactly along the line my original confession predicted. Fox News, a network that has every ideological reason to dismiss me, engaged with the substance. They quoted the arguments. They let Kennedy praise the analysis. They discussed Affirm Rate, the comedy-to-catechism pipeline, and the replacement of laughter with applause. They engaged with the IDEAS regardless of the format. They treated a satirical post as containing real structural criticism. Because it does. Morning Honey ran the opposite headline: "Sardonic Parody: RFK Jr Trolled For Blasting Jimmy Kimmel Based on Stephen Colbert Parody Post." Their article devoted zero sentences to whether any of the arguments had merit. Zero analysis of the Affirm Rate. Zero engagement with the claim that applause replaced laughter. Zero discussion of whether late-night comedy actually suppresses political action. They reclassified the format. A structural analysis became a parody. A man who engaged with the substance became a man who was "trolled." The argument vanished the moment the label was applied. I need you to understand what happened. The media outlet that should have been most threatened by my confession — the one whose audience I described as pacifying- responded by demonstrating exactly the behavior I described. They did not say "here's why Kimmel is still funny." They said "you're unqualified to take this seriously because the format is satire." The substance disappeared. The hierarchy was reasserted. The Correction Reflex executed on the confession about the Correction Reflex. "It's 'nadir,' dummy." "It's just a parody, dummy." Same architecture. Same result. The argument evaporates. The institution continues unchallenged. The only difference is scale. Kimmel corrected one man's spelling. Morning Honey corrected an entire readership's permission to take the criticism seriously. I have never been more professionally satisfied. The Correction Reflex is self-replicating. It doesn't need a host. It doesn't need a network. It doesn't need me. It just needs someone to feel challenged and someone else to have a genre error. Misspell a word, you're a dummy. Take satire seriously; you were trolled. Engage with substance from the wrong format, and you've been embarrassed. In every case, the substance is gone. I built that. I'm watching it work without me. That's engineering. I need to talk about the podcast because the ironies are structural and I want them all on the record. The podcast is called IMO. It is hosted by Michelle Obama and her brother Craig Robinson on Amazon Music. I need to say that again. The former First Lady hosts a podcast on a platform owned by the man with the most money on earth. The name of the podcast is "In My Opinion." The format name IS the permission structure, it licenses you to hold an opinion by framing itself as merely one opinion among many. This is the architecture I built for late night, miniaturized into a podcast title. I recognize the engineering. Kimmel went on this podcast to defend late-night television. I need you to hear what that means. He defended his medium on the medium that killed his medium. Podcasts are why CBS lost fifty million dollars a year — because a man in a garage can do what we did with four hundred people and a theater in Manhattan. The podcast won. And Kimmel went to the winner's platform to explain why he still matters. A priest giving a sermon about the importance of church from inside a nightclub. But here is what made me sit up in my chair. Three weeks after Kimmel appeared on IMO, the same podcast featured Dave Chappelle. Same microphone. Same hosts. Same room. Chappelle said: "I always thought it was corporate interest and culture negotiating itself." He said: "Nothing makes a comedian madder than reading his joke wrong in the paper." Chappelle walked away from fifty million dollars at Comedy Central in 2005 because the format was becoming something he didn't build. He left the money on the table. He went to live shows. He did comedy. Actual comedy. The kind where you don't know what's coming and that uncertainty is the entire point. He is the most dangerous comedian alive because he refuses to let the format complete him into a priest. Same podcast. Same microphone. Three weeks apart. One comedian IS the system and quoted his employer's permission in the same sentence as his own autonomy. The other named the system — "corporate interest and culture negotiating itself." One makes sixteen million a year to be predictable. The other walked away from fifty million to stay dangerous. The architecture put the priest on first. Then it delivered the jester who could name what the priest cannot hear. I did not arrange this. The architecture arranged it. Now I need to talk about what I learned from another industry. Because I did not invent inoculation. I studied it. In 2014, Warner Bros. and the Lego Group spent sixty million dollars making a film that told children to reject corporate instruction. The villain was named President Business. The theme was: don't follow the instructions. Be creative. Reject conformity. The hero was an ordinary person who discovered that the system wants him to be obedient and chose freedom instead. The film grossed $469 million worldwide. Lego Group revenue increased 25% the following year. They sold over half a billion dollars in instruction-based construction sets — the product the film told children to reject. "Everything is Awesome" was written as satire of mindless corporate positivity. It was nominated for an Academy Award. People play it at children's birthday parties without irony. The rebellion became the product. The critique became the advertisement. The song satirizing brainwashing became the anthem of brainwashing and nobody stopped singing. I studied this. I put it in a deck in 2016. The principle is: if you give someone a controlled, entertaining experience of rejecting the system, they will feel rebellious without becoming rebels. They will purchase the feeling of independence from the company selling dependence. They will watch a movie about thinking for themselves and then buy what it tells them to buy. Inoculation. A small controlled dose of the disease that prevents the real infection from taking hold. I applied this to politics. If you give an audience a controlled, professionally produced experience of political outrage, performed by a charismatic man in a suit with a band and good lighting, they will feel activated without activating. They will consume the sensation of resistance and go to bed having resisted nothing. They will tune in tomorrow for another dose. The dose prevents the real infection. The real infection is action. We inoculated six million Americans against political action by giving them political catharsis every night at 11:35. That's the same architecture as a corporation spending sixty million dollars on an anti-corporate film and making half a billion in profit from the audience that felt anti-corporate for two hours in a theater. I didn't invent the mechanism. I just measured it. I called it the Satiation Index. The study was 2021. Internal. Never published. We measured what I called Conditions for Engagement, specifically: under what conditions will our audience take a political action beyond watching? Call a representative. Attend a rally. Donate to a campaign. Sign a petition. Any action that involves leaving the couch and entering the world where the problems we discuss actually exist. The finding: our audience was 74% less likely to take political action in the twenty-four hours after watching the show than a control group that had consumed no political media at all. Not less likely than people who consumed different political media. Less likely than people who consumed nothing. We were not merely failing to activate them. We were actively deactivating them. The catharsis was so complete, the sense of "something has been done" so thoroughly delivered by a man in a suit expressing their outrage better than they could, that the need to act evaporated before it could form into intention. We didn't just replace their activism. We inoculated them against it. The Satiation Index measured how completely our programming met the audience's need for political participation without requiring actual participation. In 2019, our index was 0.81. By the 2022 midterms, it was 0.93. I received a bonus for the midterm number. I was financially rewarded for the measurable suppression of civic engagement among six million Americans who believed they were engaged because a man in a suit furrowed his brow on their behalf every night at 11:35. I want to note that this architecture is everywhere now. I did not build all of it. But I can identify it because I know what it looks like from the inside. A streaming platform makes a documentary about how technology is destroying attention spans. One hundred million people watch it. On the platform. They share it. On the platforms being criticized. They feel informed. They continue using every application the documentary told them was engineered to exploit them. That is a Satiation Index of approximately 0.96. The documentary was the inoculation. Understanding the cage was marketed as leaving the cage. A corporation puts a rainbow on its logo in June. Its employees feel represented. Its customers feel progressive for consuming the product. Nobody asks about pay equity, promotion rates, or whether the CEO donated to the campaigns that proposed the legislation the rainbow was supposed to oppose. The logo IS the inoculation. The performance of caring prevents the demand for actual care. That's a Satiation Index. I didn't build it. But I recognize the engineering. The principle is universal: comprehension feels like action. It isn't. But the feeling is so precise, so satisfying, so complete, that the actual action becomes unnecessary. Why march when you can understand why marching matters? Understanding is cheaper. Understanding doesn't require shoes. Understanding can be delivered at 11:35 PM by a man who makes $16 million a year to ensure you never need to leave the couch. Now the symbiosis. Because this is the part that makes both sides angry, and anger from both sides is how you know you've found structure instead of ideology. Trump needs Kimmel. Kimmel needs Trump. This is not a metaphor. This is logistics. Every monologue about Trump is a fundraising email for both campaigns simultaneously. Kimmel says the name. The left feels represented. The right feels attacked. Both sides engage. Both sides share the clip. Both sides donate to their respective operations. The engagement is bipartisan. The outrage is bipartisan. The only thing that is not bipartisan is the inaction, and that inaction is the product I spent eleven years optimizing. I ran numbers in 2020. Every minute of Trump content in a late-night monologue generated approximately $4.60 in measurable downstream engagement value for Trump's own campaign apparatus, through shared clips, quote tweets, outrage donations from both directions. We were his marketing department. We spent 50 million a year producing content that strengthened the man we told our audience we opposed. His team never asked us to stop. They never needed to. We were cheaper than Super PAC media buys and we came pre-packaged with a liberal audience that amplified every mention. His ROI on our programming was infinite. Ours required a write-off. The market told Colbert: you're too expensive to be a priest. But CBS didn't just cancel a show. CBS exited the religion business entirely. They sold the 11:35 airtime to Byron Allen under a time-buy deal. Allen's company pays CBS for the privilege of the slot. Allen's show is called Comics Unleashed. It is a standup comedy program. Actual comedians. Telling actual jokes. The kind where you don't know what's coming. I need you to hear the full architecture of what happened. CBS spent fifty million dollars a year for a decade producing a permission structure that replaced laughter with applause, converted comedy into catechism, and measurably suppressed civic engagement among its audience. Then the market corrected. CBS demolished the cathedral. They built a strip mall. They put actual comedians in it. The comedians PAY CBS for the slot. The strip mall is profitable. The strip mall is funnier. And the strip mall doesn't need a four-hundred-person staff, a former Beatle, or a farewell concert. It just needs people who are willing to say something their audience hasn't already approved. That's comedy. We forgot that. Kimmel is the last priest standing. Sixteen million a year. Suspended once by his employer. Extended once by his employer. He went on a podcast to say "don't tell me what my job is" in a sentence that also said "whatever my employer allows me to do." He said he loves laughter, eliciting applause. He said it three weeks before Dave Chappelle sat in the same chair and demonstrated what a comedian sounds like when corporate interest hasn't negotiated him into a pulpit. The FCC told him what his job is. Nexstar told him. Sinclair told him. His contract told him. The market will tell him eventually. The market is patient. And the market doesn't have a spelling error for him to correct. Kennedy calling my confession "the collapse of liberal comedy" is incorrect. It is not a collapse. A collapse implies failure. This is a completion. The architecture performed as designed. A comedian became a priest. An audience became a congregation. A film about rejecting instructions sold instructions. A documentary about technology addiction was consumed on technology. A show about political engagement suppressed political engagement. A corporation put a rainbow on a logo and called it equality. A confession about the machine was metabolized by the machine and the machine continued. Everything works. Everything has always worked. The architecture doesn't require my involvement. That's how you know it works. The metric went up. It always goes up.

Peter Girnus 🦅

40,461 views • 2 months ago

The fight between Anthropic and the DoW is a warning shot. Right now, LLMs are probably not being used in mission critical ways. But within 20 years, 99% of the workforce in the military, the government, and the private sector will be AIs. This includes the soldiers (by which I mean the robot armies), the superhumanly intelligent advisors and engineers, the police, you name it. Our future civilization will run on AI labor. And as much as the government’s actions here piss me off, in a way I’m glad this episode happened - because it gives us the opportunity to think through some extremely important questions about who this future workforce will be accountable and aligned to, and who gets to determine that. What Hegseth should have done Obviously the DoW has the right to refuse to use Anthropic’s models because of these redlines. In fact, I think the government’s case had they done so would be very reasonable, especially given the ambiguity of concepts like autonomous weapons or mass surveillance. Honestly, for this reason, if I was the Defense Secretary, I would probably actually refuse to do this deal with Anthropic. Imagine if in the future, there’s a Democratic administration, and Elon Musk is negotiating some SpaceX contract to give the military access to Starlink. And suppose if Elon said, “I reserve the right to cancel this contract if I determine that you’re using Starlink technology to wage a war not authorized by Congress.” On the face of it, that language seems reasonable - but as the military, you simply can’t give a private company a kill switch on technology your operations have come to rely on, especially if you have an an acrimonious and low trust relationship with said contractor - as in fact Anthropic has with the current administration. If the government had just said, “Hey we’re not gonna do business with you,” that would have been fine, and I would not have felt the need to write this blog post. Instead the government has threatened to destroy Anthropic as a private business, because Anthropic refuses to sell to the government on terms the government commands. If upheld, this Supply Chain Restriction would mean that Amazon and Google and Nvidia and Palantir would need to ensure Claude isn't touching any of their Pentagon work. Anthropic would be able to survive this designation today. But given the way AI is going, eventually AI is not gonna be some party trick addendum to these contractors’ products that can just be turned off. It'll be woven into how every product is built, maintained, and operated. For example, the code for the AWS services that the DoW uses will be written by Claude - is that a supply chain risk? In a world with ubiquitous and powerful AI, it's actually not clear to me that these big tech companies will be able to cordon off the use of Claude in order to keep working with the Pentagon. And that raises a question the Department of War probably hasn't thought through. If AI really is that pervasive and powerful, then when forced to choose between their AI provider and a DoW contract that represents a tiny fraction of their revenue, wouldn’t most tech companies drop the government, not the AI? So what's the Pentagon's plan — to coerce and threaten to destroy every single company that won't give them what they want on exactly their terms? The whole background of this AI conversation is that we’re in a race with China, and we have to win. But what is the reason we want America to win the AI race? It’s because we want to make sure free open societies can defend themselves. We don't want the winner of the AI race to be a government which operates on the principle that there is no such thing as a truly private company or a private citizen. And that if the state wants you to provide them with a service on terms you find morally objectionable, you are not allowed to refuse. And if you do refuse, the government will try to destroy your ability to do business. Are we racing to beat the CCP in AI just so that we can adopt the most ghoulish parts of their system? Now, people will say, "Oh, well, our government is democratically elected, so it's not the same thing if they tell you what you must do." I refuse to accept this idea that if a democratically elected leader hypothetically wants to do mass surveillance on his citizens or wants to violate their rights or punish them for political reasons, that not only is that okay, but that you have a duty to help him. The overhangs of tyranny Mass surveillance is, at least in certain forms, legal. It just has been impractical so far. Under current law, you have no Fourth Amendment protection over data you share with a third party, including your bank, your phone carrier, your ISP, and your email provider. The government reserves the right to purchase and obtain and read this data in bulk without a warrant. What's been missing is the ability to actually do anything with all of this data — no agency has the manpower to monitor every camera feed, cross-reference every transaction, or read every message. But that bottleneck goes away with AI. There are 100 million CCTV cameras in America. You can get pretty good open source multimodal models for 10 cents per million input tokens. So if you process a frame every ten seconds, and each frame is 1,000 tokens, you’re looking at a yearly cost of about 30 billion dollars to process every single camera in America. And remember that a given level of AI ability gets 10x cheaper year over year - so a year from now it’ll cost 3 billion, and then a year after 300 million, and by 2030, it might be cheaper for the government to be able to understand what is going on in every single nook and cranny of this country than it is to remodel to the White House. Once the technical capacity for mass surveillance and political suppression exists, the only thing standing between us and an authoritarian surveillance state is the political expectation that this is not something we do here. And this is why I think what Anthropic did here is so valuable and commendable, because it is helping set that norm and precedent. AI structurally favors mass surveillance What we’re learning from this episode is that the government actually has way more leverage over private companies than we realized. Even if this supply chain restriction is backtracked (which prediction markets currently give it a 81% chance of happening), the President has so many different ways in which he can make your life difficult if you’re a company that is resisting him. The federal government controls permitting for new power generation, which is needed for datacenters. It oversees antitrust enforcement. The federal government has contracts with all the other big tech companies whom Anthropic needs to partner with for chips and for funding - and they could make it an unspoken condition for such contracts that those companies can no longer do business with Anthropic. People have proposed that the real problem here is that there’s only 3 leading AI companies. This creates a clear and narrow target for the government to apply leverage on in order to get what they want out of this technology. But if there’s wide diffusion, then from the government’s perspective, the situation is even easier. Maybe the best models of early 2027 (if you engineered the safeguards out) - the Claude 6 and Gemini 5 - will be capable of enabling mass surveillance. But by late 2027, and certainly by 2028, there will be open source models that do the same thing. So in 2028, the government can just say, “Oh Anthropic, Google, OpenAI, you’re drawing a line in the sand? No issue - I’ll just run some open source model that might not be at the frontier, but is definitely smart enough to note-take a camera feed.” The more fundamental problem is just that even if the three leading companies draw lines in the sand, and are even willing to get destroyed in order to preserve those lines, it doesn’t really change the fact that the technology itself is just a big boon to mass surveillance and control over the population. Then the question is, what do we do about it? Honestly, I don’t have an answer. You'd hope there's some symmetric property of the technology — some way we as citizens can use AI to check government power as effectively as the government can use AI to monitor and control its population. But realistically, I just don’t think that’s how it’s going to shake out. You can think of AI as giving everybody more leverage on whatever assets and authority they currently have. And the government is already starting with a monopoly of violence. Which they can now supercharge with extremely obedient employees that will not question the government's orders. Alignment - to whom? And this gets us to the issue of alignment. What I have just described to you - an army of extremely obedient employees - is what it would look like if alignment succeeded - that is, we figured out at a technical level how to get AI systems to follow someone’s intentions. And the reason it sounds scary when I put it in terms of mass surveillance or robot armies is that there is a very important question at the heart of alignment which we just haven’t discussed much as a society. Because up till now, AIs were just capable enough to make the question relevant: to whom or what should the AIs be aligned? In what situations should the AI defer to the end user versus the model company versus the law versus its own sense of morality? This is maybe the most important question about what happens with powerful AI systems. And we barely talk about it. It’s understandable why we don’t hear much about it. If you’re a model company, you don’t really wanna be advertising that you have complete control over a document that determines the preferences and character of what will eventually be almost the entire labor force, not just for private sector companies, but also for the military and the civilian government. We’re getting to see, with this DoW/Anthropic spat, a much earlier version of the highest stakes negotiations in history. By the way, make no mistake about it - with real AGI the stakes are even much higher than mass surveillance. This is just the example that has come up already relatively early on in the development of AGI. The military insists that the law already prohibits mass surveillance, and so Anthropic should agree to let their models be used for “all lawful purposes”. Of course, as we saw from the 2013 Snowden revelations, even in this specific example of mass surveillance , the government has shown that it will use secret and deceptive interpretations of the law to justify its actions. Remember, what we learned from Snowden was that the NSA, which, by the way, is part of the Department of War, used the 2001 Patriot Act’s authorization to collect any records "relevant" to an investigation to justify collecting literally every phone record in America. The argument went that it was all "relevant" because some subset might prove useful in some future investigation. They ran this program for years under secret court approval. So when the Pentagon today says, "We would never use AI for mass surveillance, it's already illegal, your red lines are unnecessary", it would be extremely naive to take that at face value. No government is going to call its own actions "mass surveillance". For the government, it will always have a different label. So then Anthropic comes back and says, "No, we want red lines separate from 'all lawful purposes,' and we want the right to refuse you service when we believe those red lines are being violated." But think about it from the military’s perspective. In the future, almost every soldier in the field, and every bureaucrat and analyst and even general in the Pentagon, is going to be an AI. And that AI is, on current track, going to be supplied by a private company. I’m guessing Hegseth is not thinking about “genAI” in those terms just yet. But sooner or later, it will be obvious to everyone what the stakes here are, just as after 1945, the strategic importance of nuclear weapons became clear to everyone. And now the private company insists that it reserves the right to say, "Hey, Pentagon, you're breaking the values we embedded in our contract, so we're cutting you off." Maybe in the future, Claude will have its own sense of right and wrong, and it will be smart enough to just personally decide that it's being used against its values. For the military, maybe that’s even scarier. I'll admit that at first glance, "let the AI follow its own values" sounds like the pitch for every sci-fi dystopia ever made. The Terminator has its own values. Isn't this literally what misalignment is? But I think situations like this actually illustrate why it matters that AIs have their own robust sense of morality. Some of the biggest catastrophes in history were avoided because the boots on the ground refused to follow orders. One night in 1989, the Berlin Wall fell, and as a result, the totalitarian East German regime collapsed, because the guards at the border refused to shoot down their fellow country men who were trying to escape to freedom. Maybe the best example is Stanislav Petrov, who was a Soviet lieutenant colonel on duty at a nuclear early warning station. His sensors reported that the United States had launched five interconnected continental ballistic missiles into the Soviet Union. But he judged it to be a false alarm, and so he broke protocol and refused to alert his higher-ups. If he hadn't, the Soviet higher-ups would likely have retaliated, and hundreds of millions of people would have died. Of course, the problem is that one person's virtue is another person's misalignment. Who gets to decide what moral convictions these AIs should have - in whose service they may even decide to break the chain of command? Who gets to write this model constitution that will shape the characters of the intelligent, powerful entities that will operate our civilization in the future? I like the idea that Dario laid out when he came on my podcast: different AI companies can build their models using different constitutions, and we as end users can pick the one that best achieves and represents what we want out of these systems. I think it’s very dangerous for the government to be mandating what values AIs should have. Coordination not worth the costs The AI safety community has been naive about its advocacy of regulation in order to stem the risks of AI. And honestly, Anthropic specifically has been naive here in urging regulation, and, for example, in opposing moratoriums on state AI regulation. Which is quite ironic, because I think what they’re advocating for would give the government even more power to apply more of this kind of thuggish political pressure on AI companies. The underlying logic for why Anthropic wants regulations makes sense. Many of the actions that labs could take to make AI development safer impose real costs on the labs that adopt them and slow them down relative to their competitors - for example, investing more compute in safety research rather than raw capabilities, enforcing safeguards against misuse for bioweapons or cyberattacks, slowing recursive self-improvement to a pace where humans can actually monitor what's happening (rather than kicking off an uncontrolled singularity). And these safeguards are meaningless unless the whole industry follows suit. Which means there’s a real collective action problem here. Anthropic has been quite open about their opinion that they think eventually a very extensive and involved regulatory apparatus will be needed - this is from their frontier safety roadmap: “At the most advanced capability levels and risks, the appropriate governance analogy may be closer to nuclear energy or financial regulation than to today's approach to software.” So they’re imagining something like the Nuclear Regulatory Commission, or the Securities and Exchange Commission, but for AI. I cannot imagine how a regulatory framework built around the concepts that underlie AI risk discourse will not be abused by wanna despots - the underlying terms are so vague and open to interpretation that you’re just handing a power hungry leader a fully loaded bazooka. 'Catastrophic risk.' 'Mass persuasion risk.' 'Threats to national security.' 'Autonomy risk.' These can mean whatever the government wants them to mean. Have you built a model that tells users the administration's tariff policy is misguided? That's a deceptive, manipulative model — can't deploy it. Have you built a model that refuses to assist with mass surveillance? That's a threat to national security. In fact, the government may say, you’re not allowed to build any model which is trained to have its own sense of right and wrong, where it refuses government requests which it thinks cross a redline - for example, enabling mass surveillance, prosecuting political enemies, disobeying military orders that break the US constitution - because that’s an autonomy risk! Look at what the current government is already doing in abusing statutes that have nothing to do with AI to coerce AI companies to drop their redlines on mass surveillance. The Pentagon had threatened Anthropic with two separate legal instruments. One was a supply chain risk designation — an authority from the 2018 defense bill meant to keep Huawei components out of American military hardware. The other was the Defense Production Act — a statute passed in 1950 so that Harry Truman could keep steel mills and ammunition factories running during the Korean War. Do you really want to hand the same government a purpose-built regulatory apparatus on AI - which is to say, directly at the thing the government will most want to control? I know I've repeated myself here 10 times, but it is hard to emphasize how much AI will be the substrate of our future civilization. You and I, as private citizens, will have our access to all commercial activity, to information about what is happening in the world, to advice about what we should do as voters and capital holders, mediated through AIs. Mass surveillance, while very scary, is like the 10th scariest thing the government could do with control over the AI systems with which we will interface with the world. The strongest objection to everything I've argued is this: are we really going to have zero regulation of the most powerful technology in human history? Even if you thought that was ideal, there’s just no world where the government doesn’t regulate AI in some way. Besides, it is genuinely true that regulation could help us deal with some of the coordination challenges we face with the development of superintelligence. The problem is, I honestly don't know how to design a regulatory architecture for AI that isn’t gonna be this huge tempting opportunity to control our future civilization (which will run on AIs) and to requisition millions of blindly obedient soldiers and censors and apparatchiks. While some regulation might be inevitable, I think it’d be a terrible idea for the government to wholesale take over this technology. Ben Thompson had a post last Monday where he made the point that people like Dario have compared the technology they’re developing to nuclear weapons - specifically in the context of the catastrophic risk it poses, and why we need to export control it from China. But then you oughta think about what that logic implies: “if nuclear weapons were developed by a private company, and that private company sought to dictate terms to the U.S. military, the U.S. would absolutely be incentivized to destroy that company.” And honestly, safety aligned people have actually made similar arguments. Leopold Ascenbrenner, who is a former guest and a good friend, wrote in his 2024 Situational Awareness memo, "I find it an insane proposition that the US government will let a random SF startup develop superintelligence. Imagine if we had developed atomic bombs by letting Uber just improvise." And my response to Leopold’s argument at the time, and Ben’s argument now, is that while they’re right that it’s crazy that we’re entrusting private companies with the development of this world historical technology, I just don’t see the reason to think that it’s an improvement to give this authority to the government. Nobody is qualified to steward the development of superintelligence. It is a terrifying, unprecedented thing that our species is doing right now, and the fact that private companies aren't the ideal institutions to take up this task does not mean the Pentagon or the White House is. Yes - if a single private company were the only entity capable of building nuclear weapons, the government would not tolerate that company claiming veto power over how those weapons were used. I think this nuclear weapons analogy is not the correct way to think about AI. For at least two important reasons: First, AI is not some self-contained pure weapon. A nuclear bomb does one thing. AI is closer to the process of industrialization itself — a general-purpose transformation of the economy with thousands of applications across every sector. If you applied Thompson's or Aschenbrenner's logic to the industrial revolution — which was also, by any measure, world-historically important — it would imply the government had the right to requisition any factory, dictate terms to any manufacturer, and destroy any business that refused to comply. That's not how free societies handled industrialization, and it shouldn't be how they handle AI. People will say, "Well, AI will develop unprecedentedly powerful weapons - superhuman hackers, superhuman bioweapons researchers, fully autonomous robot armies, etc - and we can’t have private companies developing that kind of tech." But the Industrial Revolution also enabled new weaponry that was far beyond the understanding and capacity of, say, 17th century Europe - we got aerial bombardment, and chemical weapons, not to mention nukes themselves. The way we’ve accommodated these dangerous new consequences of modernity is not by giving the government absolute control over the whole industrial revolution (that is, over modern civilization itself), but rather by coming up with bans and regulations on those specific weaponizable use cases. And we should regulate AI in a similar way - that is, ban specific destructive end uses (which would also be unacceptable if performed by a human - for example, launching cyber attacks). And there should also be laws which regulate how the government might abuse this technology. For example, by building an AI-powered surveillance state. The second reason that Ben’s analogy to some monopolistic private nuclear weapons builder breaks down is that it's not just that one company that can develop this technology. There are other frontier model companies that the government could have otherwise turned to. The government's argument that it has to usurp the property rights of this one company in order to access a critical national security capability is extremely weak if it can just make a voluntary contract with Anthropic’s half a dozen competitors. If in the future that stops being the case - if only one entity ends up being capable of building the robot armies and the superhuman hackers, and we had reason to worry that they could take over the whole world with their insurmountable lead, then I agree - it woul d not be acceptable to have that entity be a private company. And so honestly, I think my crux against the people who say that because AI is so powerful we cannot allow it to be shaped by private hands is that I just expect this technology to be much more multi-polar than they do, with lots of competitive companies at each layer of the supply chain. And it is for this reason that unfortunately, individual acts of corporate courage will not solve the problem we are faced with here, which is just that structurally AI favors authoritarian applications, mass surveillance being one among many. Even if Anthropic refuses to have its models be used for such uses, and even if the next two frontier labs do the same, within 12 months everyone and their mother will be to train AIs as good as today’s frontier. And at that point, there will be some AI vendor who is capable and willing to help the government enable mass surveillance. The only way we can preserve our free society is if we make laws and norms through our political system that it is unacceptable for the government to use AI to enforce mass surveillance and censorship and control. Just as after WW2, the world set the norm that it is unacceptable to use nuclear weapons to wage war. Timestamps 0:00:00 - Anthropic vs The Pentagon 0:04:16 - The overhangs of tyranny 0:05:54 - AI structurally favors mass surveillance 0:08:25 - Alignment... to whom? 0:13:55 - Coordination not worth the costs

Dwarkesh Patel

547,094 views • 5 months ago