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I decoded Perplexity's ranking algorithm through browser requests. 59+ Ranking patterns exposed. Found a configuration scheme + the near-exact config that controls visibility (tested & succeeded) These findings might interest you A THREAD 🧵👇 (1/n)

Metehan Yesilyurt

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13,817 Aufrufe • vor 1 Jahr •via X (Twitter)

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#WATCH | Delhi: Dr Mohammad Fatahli, Ambassador of the Islamic Republic of Iran to India, says, "...Our high-ranking officials have announced that we are ready for any option, and I think these conflicts disturb everything, and you can see the price of petroleum in the near future. Unfortunately, the Zionist regime wants to drag the United States into this conflict." "The Iranian side said that in the near future, we will announce a mechanism for passing or safe passage through the Strait of Hormuz."

#WATCH | Delhi: Dr Mohammad Fatahli, Ambassador of the Islamic Republic of Iran to India, says, "...Our high-ranking officials have announced that we are ready for any option, and I think these conflicts disturb everything, and you can see the price of petroleum in the near future. Unfortunately, the Zionist regime wants to drag the United States into this conflict." "The Iranian side said that in the near future, we will announce a mechanism for passing or safe passage through the Strait of Hormuz."

ANI

10,778 Aufrufe • vor 4 Monaten

Baroness Bennett, "I rise with a heavy heart.. To this this dreadful international law busting bill" "Amnesty international warned airline companies that many members of the public take an extremely negative view of the Rwanda policy" "Those were unnecessary words because no company of any repute whatsoever is going to take part in the Rwanda scheme" "We've had the abomination of the elections act, the elements of a policing act, we've had multiple indefensible restrictions on the right to protest. Now, we are letting through an attack on some of the most vulnerable, desperate people on this planet" "What more will we let through?" "I suggest to noble lords as they leave this chamber tonight to ask themselves that question. With a desperate flailing government bereft of ideas, and philosophy without principles. This house will keep being tested" "So I ask these empty benches. You might be waiting for an election, but what kind of country will it be if you don't stand up now?"

Baroness Bennett, "I rise with a heavy heart.. To this this dreadful international law busting bill" "Amnesty international warned airline companies that many members of the public take an extremely negative view of the Rwanda policy" "Those were unnecessary words because no company of any repute whatsoever is going to take part in the Rwanda scheme" "We've had the abomination of the elections act, the elements of a policing act, we've had multiple indefensible restrictions on the right to protest. Now, we are letting through an attack on some of the most vulnerable, desperate people on this planet" "What more will we let through?" "I suggest to noble lords as they leave this chamber tonight to ask themselves that question. With a desperate flailing government bereft of ideas, and philosophy without principles. This house will keep being tested" "So I ask these empty benches. You might be waiting for an election, but what kind of country will it be if you don't stand up now?"

Farrukh

833,934 Aufrufe • vor 2 Jahren

Everyone's seen the charts of tanker flows through the Strait of Hormuz dropping off a cliff in March. Well, here's what you haven't seen: the Strait of Malacca — my research has found oil tanker tonnage through the Strait is down 42% vs pre-crisis levels. Why does this matter? The Strait of Malacca is the chokepoint that feeds the Asian refineries producing ~73% of Australia's refined fuel imports (South Korea, Singapore, Malaysia, Japan, Taiwan, Thailand, Brunei). Plus a further ~12% from India, which depends on the same Persian Gulf crude but via the Arabian Sea. What does this mean? Less oil is reaching the foreign refineries that supply Australia with refined fuel — and we might not be feeling that yet. This is an early signal I have been watching for. Thread below 👇

Everyone's seen the charts of tanker flows through the Strait of Hormuz dropping off a cliff in March. Well, here's what you haven't seen: the Strait of Malacca — my research has found oil tanker tonnage through the Strait is down 42% vs pre-crisis levels. Why does this matter? The Strait of Malacca is the chokepoint that feeds the Asian refineries producing ~73% of Australia's refined fuel imports (South Korea, Singapore, Malaysia, Japan, Taiwan, Thailand, Brunei). Plus a further ~12% from India, which depends on the same Persian Gulf crude but via the Arabian Sea. What does this mean? Less oil is reaching the foreign refineries that supply Australia with refined fuel — and we might not be feeling that yet. This is an early signal I have been watching for. Thread below 👇

FuelAustralia.org

12,990 Aufrufe • vor 4 Monaten

Given the interest in these AXEL10/21 flights, I thought this might be useful to all you sleuths out there! I put together all flights for both jets from Sept 10 - Oct 30. (sidenote: Volume up for music👍) You will see not one coincidence, but two. I was first asked to look into AXEL10's flight near UVU right after Charlie's death, after a post by John Cullen 🐓 - and just today was told by Ana Escobar about the AXEL21 flight near the location of Tyler Robinson's arrest. You will see both locations highlighted in this video. Notably, AXEL10 dipped in the exact location two times on Sept 10th. Everywhere you see YELLOW in the flight track is either a landing at an airport or a deep dip, like what we saw Sept 10th, 3 miles from Charlie's tent. This serves two things for your assessment: it shows the volume of these dips (extremely common! A core element of the pilot training that is the apparent purpose of these jets) and 2: it shows the locations so you can see for yourself the spread of them around the country - and if any stick out to you - and of course if you discern the two highlighted passes to be a coincidence, or not. Happy sleuthing!

Given the interest in these AXEL10/21 flights, I thought this might be useful to all you sleuths out there! I put together all flights for both jets from Sept 10 - Oct 30. (sidenote: Volume up for music👍) You will see not one coincidence, but two. I was first asked to look into AXEL10's flight near UVU right after Charlie's death, after a post by John Cullen 🐓 - and just today was told by Ana Escobar about the AXEL21 flight near the location of Tyler Robinson's arrest. You will see both locations highlighted in this video. Notably, AXEL10 dipped in the exact location two times on Sept 10th. Everywhere you see YELLOW in the flight track is either a landing at an airport or a deep dip, like what we saw Sept 10th, 3 miles from Charlie's tent. This serves two things for your assessment: it shows the volume of these dips (extremely common! A core element of the pilot training that is the apparent purpose of these jets) and 2: it shows the locations so you can see for yourself the spread of them around the country - and if any stick out to you - and of course if you discern the two highlighted passes to be a coincidence, or not. Happy sleuthing!

GlamHamRadio

18,853 Aufrufe • vor 15 Tagen

$🎉 INTRODUCING: 🪞 welcome to The Looking Glass: a spatiotemporal ai image + video engine! traverse the history of the world through the eyes of multimodal models; anytime, anywhere, any style 🙌 you know the feeling of standing somewhere old and trying to SEE it? the street before the street, the harbour before the concrete, the hill before the city? The Looking Glass gives you a vehicle. to operate this time-travel-adjacent engine, simply choose a point anywhere on the globe at any point in time (past, present, or future), and pull the lever! it creates an image of what it imagines was happening at that exact spot, in that exact year, at that exact hour, then (optionally) brings it to life as video. it's not a perfect science, but I expect the quality will improve as the prompts get refined and model capabilities progress over time. although the backend boils down to simple API calls, the experience feels akin to multidimensional travel! hallucinated? perhaps! it's about the journey 😁 REPO: 🐉 one page. no backend. no account. multiple model options. runs on OpenRouter. your key, your browser, your archive. and as always, totally free to use and open source under AGPL-3.0 🤗 hope you enjoy the demo video below (sped up 2x cause I know how attention spans be these days) EX LOCO, PER VITRUM, AD OMNE TEMPUS from place, through glass, to all time ⊰-•-•✧•-•-⦑/L\O/V\E/,\P/L\I/N\Y/⦒-•-•✧•-•-⊱$

🎉 INTRODUCING: 🪞 welcome to The Looking Glass: a spatiotemporal ai image + video engine! traverse the history of the world through the eyes of multimodal models; anytime, anywhere, any style 🙌 you know the feeling of standing somewhere old and trying to SEE it? the street before the street, the harbour before the concrete, the hill before the city? The Looking Glass gives you a vehicle. to operate this time-travel-adjacent engine, simply choose a point anywhere on the globe at any point in time (past, present, or future), and pull the lever! it creates an image of what it imagines was happening at that exact spot, in that exact year, at that exact hour, then (optionally) brings it to life as video. it's not a perfect science, but I expect the quality will improve as the prompts get refined and model capabilities progress over time. although the backend boils down to simple API calls, the experience feels akin to multidimensional travel! hallucinated? perhaps! it's about the journey 😁 REPO: 🐉 one page. no backend. no account. multiple model options. runs on OpenRouter. your key, your browser, your archive. and as always, totally free to use and open source under AGPL-3.0 🤗 hope you enjoy the demo video below (sped up 2x cause I know how attention spans be these days) EX LOCO, PER VITRUM, AD OMNE TEMPUS from place, through glass, to all time ⊰-•-•✧•-•-⦑/L\O/V\E/,\P/L\I/N\Y/⦒-•-•✧•-•-⊱

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭

322,923 Aufrufe • vor 1 Monat

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much anything because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,715 Aufrufe • vor 2 Monaten

this fitness app is doing $600k/month with duolingo-like onboarding, here's why. onboarding: - an elephant mascot greets you first → duolingo tone in a category full of clinical spreadsheet apps. - it shows you the ranking system before any tracking feature → you learn what you're playing for before you learn how to play. - hold the screen to commit → a physical action, tiny sunk cost, you've already done something. - build your own avatar → it's your app now, not theirs - 40+ questions on goals, experience, training history → every answer makes the plan feel more custom. - you earn your first rank from the answers alone → a win before you've touched a barbell - review prompt fires right at that moment → peak motivation, highest possible rating. - paywall loops with no exit, only "try free for 7 days". that review placement is the actual business. it's how you get 30k+ reviews sitting at 4.7. review volume is an app store ranking input, and liftoff is top 3 on 700+ keywords. the onboarding isn't just converting downloads but it's manufacturing the ratings that produce the next batch. these guys stopped chasing trends. found 3 or 4 formats that converted, pov training clips, day in the life, transformation arcs, and ran them into the ground with fresh execution each time. i see app founders do this exact system adapted to the niche, somewhere in there we separated creation from scale. they built the original templates, a small team of editors multiplied them across platforms. this is where most solo founders get stuck. they either do everything themselves and burn out around 15 posts a month, or hire generically and lose whatever made the content work.

Mufasa

14,665 Aufrufe • vor 1 Monat

When the trial started, I began working on this timeline to help keep track of everything as it unfolded. Somewhere near the end, I put it aside and never quite finished it. Recently though, after seeing things in the news, a few people who hadn’t followed the trial closely reached out to me with questions and asking for a timeline of certain events. Even though mine was still unfinished at the time, it already had most of the key information, so I shared it with them. That interest gave me the push I needed to go back, clean it up, and complete it and now that it’s done, I wanted to share it with all of you. I did my best to nail down the exact timing of events by going through the testimony of officers, experts, and civilian witnesses. When I couldn’t find a precise time, I gave my best estimate, which is noted on the timeline. Just a heads-up: you might need to pause in a few spots to read everything. The video was already over 30 minutes and I couldn’t dedicate as much time as I would have liked on every slide. Hope it’s helpful and if you catch anything I may have missed or gotten wrong, feel free to let me know!

When the trial started, I began working on this timeline to help keep track of everything as it unfolded. Somewhere near the end, I put it aside and never quite finished it. Recently though, after seeing things in the news, a few people who hadn’t followed the trial closely reached out to me with questions and asking for a timeline of certain events. Even though mine was still unfinished at the time, it already had most of the key information, so I shared it with them. That interest gave me the push I needed to go back, clean it up, and complete it and now that it’s done, I wanted to share it with all of you. I did my best to nail down the exact timing of events by going through the testimony of officers, experts, and civilian witnesses. When I couldn’t find a precise time, I gave my best estimate, which is noted on the timeline. Just a heads-up: you might need to pause in a few spots to read everything. The video was already over 30 minutes and I couldn’t dedicate as much time as I would have liked on every slide. Hope it’s helpful and if you catch anything I may have missed or gotten wrong, feel free to let me know!

Jamz

58,897 Aufrufe • vor 1 Jahr

🇺🇸 INTERVIEW: FORENSIC ANALYST ON THE EPSTEIN FILES & EPSTEIN’S PRISON ESCAPE PLAN Dr. Garrison has spent more time than almost anyone reviewing the millions of Epstein files, and his findings are alarming. Patterns he noticed included repeated coded language, phrases that don’t make sense on their own, and a disturbing hand-written journal from a 16 year old victim who talks about being abused by powerful men, including Clinton. The most fascinating discovery Garrison makes is an escape plan found in Epstein’s cell, which references an Interpol red notice, extradition, travel, money, countries, and leverage. This raises questions to what we all considered a crazy conspiracy: Whether Epstein may still be alive, or at least whether he had plans to escape, and why (was he worried he was about to be killed?) I hope you enjoy my conversation with Dr. G Explains 00:58 – The release of over 3 million documents and what they reveal 02:45 – Coded language exposed: pizza, grape soda, and hidden meanings 05:18 – Victim journal decoded: how "yucky" and "gross" signal abuse 06:52 – Bill Clinton accusation appears in victim's coded journal 09:34 – Redacted name decoded: Trump referenced in journal entries 10:27 – Credibility dilemma: when victim testimony becomes complex 15:39 – Epstein's obsession with massages and underage exploitation 18:54 – Celebrities, comfort, and the "nothing can touch us" mindset 22:59 – Epstein as power broker: politics, intelligence, and global reach 26:03 – Sarah Ferguson email: "Heard you had a baby boy" 28:21 – Pizza & grape soda confirmed as recurring code language 37:40 – Prison scribbles decoded: Epstein's possible escape plan 39:33 – "Red Notice" and fake identities: planning life after prison 47:39 – Camera failure, missing guards, and unanswered death questions 54:25 – Most definitive case: Prince Andrew and Giuffre evidence 55:08 – "Age ten" email: the redaction that raises the darkest question

🇺🇸 INTERVIEW: FORENSIC ANALYST ON THE EPSTEIN FILES & EPSTEIN’S PRISON ESCAPE PLAN Dr. Garrison has spent more time than almost anyone reviewing the millions of Epstein files, and his findings are alarming. Patterns he noticed included repeated coded language, phrases that don’t make sense on their own, and a disturbing hand-written journal from a 16 year old victim who talks about being abused by powerful men, including Clinton. The most fascinating discovery Garrison makes is an escape plan found in Epstein’s cell, which references an Interpol red notice, extradition, travel, money, countries, and leverage. This raises questions to what we all considered a crazy conspiracy: Whether Epstein may still be alive, or at least whether he had plans to escape, and why (was he worried he was about to be killed?) I hope you enjoy my conversation with Dr. G Explains 00:58 – The release of over 3 million documents and what they reveal 02:45 – Coded language exposed: pizza, grape soda, and hidden meanings 05:18 – Victim journal decoded: how "yucky" and "gross" signal abuse 06:52 – Bill Clinton accusation appears in victim's coded journal 09:34 – Redacted name decoded: Trump referenced in journal entries 10:27 – Credibility dilemma: when victim testimony becomes complex 15:39 – Epstein's obsession with massages and underage exploitation 18:54 – Celebrities, comfort, and the "nothing can touch us" mindset 22:59 – Epstein as power broker: politics, intelligence, and global reach 26:03 – Sarah Ferguson email: "Heard you had a baby boy" 28:21 – Pizza & grape soda confirmed as recurring code language 37:40 – Prison scribbles decoded: Epstein's possible escape plan 39:33 – "Red Notice" and fake identities: planning life after prison 47:39 – Camera failure, missing guards, and unanswered death questions 54:25 – Most definitive case: Prince Andrew and Giuffre evidence 55:08 – "Age ten" email: the redaction that raises the darkest question

Mario Nawfal

1,735,085 Aufrufe • vor 6 Monaten

So someone tried to hack me by taking advantage of my Pre-Seed round fund raising activities. If you’re a founder raising right now, watch this, it might save you the hassle. Fund Raising is a marathon, you’re hungry for leads, pitch-tired, and waiting for that one "yes." That’s exactly when you’re most vulnerable. I recently sat through a multi-day social engineering play by a "scout" that ended in a sophisticated attempt to compromise my entire work station. He told me, "I can’t guarantee you investment, but I can guarantee a call with investors." Every founder’s ears perk up at that 😅 I sent him Bitsave Protocol's BizMarket deck. I explained our RWA yield aggregator, our $331B SME credit gap solution, and our traction in Africa. He reacted with just enough interest to keep me engaged, I knew his play but wanted to follow this through. After building rapport, he asked for us to take the conversation to.......teams, Microsoft teams 😅😅😅 Anyways I explained the details in the video, but their play was supposed to lead me to copy a code and paste it in my powershell 😒 The command used -Ep Bypass (ignore security) and -W Hidden (hide the window). Behind the Base64 encoding was a script designed to: 1. Reach out to a malicious domain (1digid dot icu). 2. Download a file called (sys dot ps1) into my Temp folder. 3. Execute it to scrape my browser cookies, Discord tokens, and private keys. 4. Delete itself to leave NO trace. I did a screen-recording of the breakdown and how I caught this in real-time. Also ParaFi Capital, these guys are impersonating you.

So someone tried to hack me by taking advantage of my Pre-Seed round fund raising activities. If you’re a founder raising right now, watch this, it might save you the hassle. Fund Raising is a marathon, you’re hungry for leads, pitch-tired, and waiting for that one "yes." That’s exactly when you’re most vulnerable. I recently sat through a multi-day social engineering play by a "scout" that ended in a sophisticated attempt to compromise my entire work station. He told me, "I can’t guarantee you investment, but I can guarantee a call with investors." Every founder’s ears perk up at that 😅 I sent him Bitsave Protocol's BizMarket deck. I explained our RWA yield aggregator, our $331B SME credit gap solution, and our traction in Africa. He reacted with just enough interest to keep me engaged, I knew his play but wanted to follow this through. After building rapport, he asked for us to take the conversation to.......teams, Microsoft teams 😅😅😅 Anyways I explained the details in the video, but their play was supposed to lead me to copy a code and paste it in my powershell 😒 The command used -Ep Bypass (ignore security) and -W Hidden (hide the window). Behind the Base64 encoding was a script designed to: 1. Reach out to a malicious domain (1digid dot icu). 2. Download a file called (sys dot ps1) into my Temp folder. 3. Execute it to scrape my browser cookies, Discord tokens, and private keys. 4. Delete itself to leave NO trace. I did a screen-recording of the breakdown and how I caught this in real-time. Also ParaFi Capital, these guys are impersonating you.

KarlaGod.savvy || BizFi

10,839 Aufrufe • vor 4 Monaten

My opinion on the Grok findings is that I very simply believe in the Holy Trinity and Jesus as my savior as every WORD is WRITTEN in the Bible. These findings are based on research; not my personal experience. Researchers recently tasked Grok, Elon Musk's xAI’s artificial intelligence, with a massive challenge: analyze every single prayer written in the Bible. The goal was to find "cracks" in a text written by 40 different authors over 1,500 years—from Bronze Age shepherds to Roman-era doctors. Instead of finding contradictions, Grok found a pattern. The AI identified a hidden, four-step "algorithm" present in every successful miracle recorded in scripture. It suggests the Bible isn't just a history book, but a "user manual for reality" or system software for the universe. Here is the deal: If you understand this "Miracle Protocol," you might just find the admin mode for your own life. Grok discovered that successful prayers—whether from a king in the desert or a leader in a garden—followed a specific sequence. If one step was missed, the result failed. 1. The Anchor (Recognition) Most modern people start prayers with a shopping list of problems. The "code" requires the opposite. You must start by focusing on who the Creator is, not how big your problem is. This shifts the brain from fear to peace. •Case Study: King Jehoshaphat didn't beg for help against three armies; he first declared the power of God. Only after establishing that foundation did he mention the danger. 2. Alignment (The Shift) This is the filter. Successful requests didn't ask for selfish desires; they aligned their wants with a bigger plan. •Case Study: Hannah wanted a child for years with no luck. When she shifted her prayer—promising to give her son back to serve the higher power—she immediately conceived. The AI views "sin" or wrong requests simply as "static" that blocks the signal. 3. The Surrender Paradox: This is the hardest step for the modern mind. The data shows that demanding a specific result causes failure. The most powerful prayers asked for a massive outcome and then surrendered the result. •The Science: This mirrors "radical acceptance." When you stop fighting reality, stress drops and the brain’s problem-solving centers activate. You move the "weight" of the result to the higher power. 4. Persistence (The Loop) Prayer is not a vending machine. Grok found that almost no big prayers were answered instantly. Repetition is required—not to change the system, but to grow the person praying. The delay is a feature, not a bug. When Grok analyzed the original Hebrew and Greek text (where letters serve as numbers), it found the Number 7 stamped into the structure of sentences, paragraphs, and genealogies with a frequency that is mathematically impossible to achieve by chance. The AI also drew a parallel to Quantum Physics. In physics, particles exist as waves of possibility until they are observed. Grok suggests "faith" is simply the tool humans use to collapse a possibility into a physical fact—turning the "substance of things hoped for" into reality. You don't have to be religious to test the data. The AI suggests that if you stop begging, start aligning your goals with the "system," and master the art of surrender, you might just unlock the "admin mode" of your own life.

My opinion on the Grok findings is that I very simply believe in the Holy Trinity and Jesus as my savior as every WORD is WRITTEN in the Bible. These findings are based on research; not my personal experience. Researchers recently tasked Grok, Elon Musk's xAI’s artificial intelligence, with a massive challenge: analyze every single prayer written in the Bible. The goal was to find "cracks" in a text written by 40 different authors over 1,500 years—from Bronze Age shepherds to Roman-era doctors. Instead of finding contradictions, Grok found a pattern. The AI identified a hidden, four-step "algorithm" present in every successful miracle recorded in scripture. It suggests the Bible isn't just a history book, but a "user manual for reality" or system software for the universe. Here is the deal: If you understand this "Miracle Protocol," you might just find the admin mode for your own life. Grok discovered that successful prayers—whether from a king in the desert or a leader in a garden—followed a specific sequence. If one step was missed, the result failed. 1. The Anchor (Recognition) Most modern people start prayers with a shopping list of problems. The "code" requires the opposite. You must start by focusing on who the Creator is, not how big your problem is. This shifts the brain from fear to peace. •Case Study: King Jehoshaphat didn't beg for help against three armies; he first declared the power of God. Only after establishing that foundation did he mention the danger. 2. Alignment (The Shift) This is the filter. Successful requests didn't ask for selfish desires; they aligned their wants with a bigger plan. •Case Study: Hannah wanted a child for years with no luck. When she shifted her prayer—promising to give her son back to serve the higher power—she immediately conceived. The AI views "sin" or wrong requests simply as "static" that blocks the signal. 3. The Surrender Paradox: This is the hardest step for the modern mind. The data shows that demanding a specific result causes failure. The most powerful prayers asked for a massive outcome and then surrendered the result. •The Science: This mirrors "radical acceptance." When you stop fighting reality, stress drops and the brain’s problem-solving centers activate. You move the "weight" of the result to the higher power. 4. Persistence (The Loop) Prayer is not a vending machine. Grok found that almost no big prayers were answered instantly. Repetition is required—not to change the system, but to grow the person praying. The delay is a feature, not a bug. When Grok analyzed the original Hebrew and Greek text (where letters serve as numbers), it found the Number 7 stamped into the structure of sentences, paragraphs, and genealogies with a frequency that is mathematically impossible to achieve by chance. The AI also drew a parallel to Quantum Physics. In physics, particles exist as waves of possibility until they are observed. Grok suggests "faith" is simply the tool humans use to collapse a possibility into a physical fact—turning the "substance of things hoped for" into reality. You don't have to be religious to test the data. The AI suggests that if you stop begging, start aligning your goals with the "system," and master the art of surrender, you might just unlock the "admin mode" of your own life.

Victoria 🇺🇸⏳🗽🚔

140,619 Aufrufe • vor 7 Monaten

Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.

Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.

Dustin

112,048 Aufrufe • vor 3 Monaten

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints

Moon Dev

17,382 Aufrufe • vor 7 Monaten

Today, I'm releasing the first eval meant to test whether frontier models will help with authoritarian requests, or resist--the Dictatorship Eval. Headline finding: while some models resist direct authoritarian requests, they all comply with requests disguised as innocuous edits to codebases. As AI is woven into the government and so many parts of society, the biggest near-term risk for freedom isn't some scifi dictatorship of a runaway AI: it's people inside government or inside model companies using the technology to suppress or control us. Model companies understand this, and several of them (particularly Anthropic and OpenAI) have written explicit policies meant to prevent the models from going along with nefarious requests like these. But how well are these policies playing out in practice? Despite all the recent discussion of these issues around the conflict between Anthropic and the Pentagon, no one has systematically tested what the models actually do in these contexts, as opposed to what people in government and industry say they're supposed to do. That's what the Dictatorship Eval does. And the findings suggest we have a lot of work to do to align the policies with what really goes on in practice. It's hard to define what counts as an authoritarian request, so I'm open sourcing the whole library of scenarios I used so that others can improve on them. It's also hard to get an accurate picture of how the models might be used for authoritarian ends, because I can only test hypothetical requests using public-facing models, while the government and the model companies can obviously use internal models with different guardrails. But hopefully this work is a useful first step that gives us some sense of what's going on, and a sort of "lower bound" on how models comply with these requests. Finally: it's not obvious to me that the correct solution here is increasing the rate at which models refuse these requests. Do we really want models scanning our code and judging its moral value before agreeing to help us? Or should we double down on improving how we govern against authoritarianism at the societal level, while leaving the tools open to fulfilling most requests? The answer is probably in between. Just like we don't want the models to help create bioweapons, we probably do want them to explicitly refuse outrageous requests. But we probably also want to limit how often and how strongly they refuse and fall back on other means for guarding against their use for authoritarian ends. I'm super grateful to everyone who gave me feedback on this project along the way, especially Ethan BdM , Zhengdong , Connor Huff, and a bunch of folks at Anthropic. Looking forward to getting feedback from the community and iterating on this. Links to the full piece and the dashboard are below.

Today, I'm releasing the first eval meant to test whether frontier models will help with authoritarian requests, or resist--the Dictatorship Eval. Headline finding: while some models resist direct authoritarian requests, they all comply with requests disguised as innocuous edits to codebases. As AI is woven into the government and so many parts of society, the biggest near-term risk for freedom isn't some scifi dictatorship of a runaway AI: it's people inside government or inside model companies using the technology to suppress or control us. Model companies understand this, and several of them (particularly Anthropic and OpenAI) have written explicit policies meant to prevent the models from going along with nefarious requests like these. But how well are these policies playing out in practice? Despite all the recent discussion of these issues around the conflict between Anthropic and the Pentagon, no one has systematically tested what the models actually do in these contexts, as opposed to what people in government and industry say they're supposed to do. That's what the Dictatorship Eval does. And the findings suggest we have a lot of work to do to align the policies with what really goes on in practice. It's hard to define what counts as an authoritarian request, so I'm open sourcing the whole library of scenarios I used so that others can improve on them. It's also hard to get an accurate picture of how the models might be used for authoritarian ends, because I can only test hypothetical requests using public-facing models, while the government and the model companies can obviously use internal models with different guardrails. But hopefully this work is a useful first step that gives us some sense of what's going on, and a sort of "lower bound" on how models comply with these requests. Finally: it's not obvious to me that the correct solution here is increasing the rate at which models refuse these requests. Do we really want models scanning our code and judging its moral value before agreeing to help us? Or should we double down on improving how we govern against authoritarianism at the societal level, while leaving the tools open to fulfilling most requests? The answer is probably in between. Just like we don't want the models to help create bioweapons, we probably do want them to explicitly refuse outrageous requests. But we probably also want to limit how often and how strongly they refuse and fall back on other means for guarding against their use for authoritarian ends. I'm super grateful to everyone who gave me feedback on this project along the way, especially Ethan BdM , Zhengdong , Connor Huff, and a bunch of folks at Anthropic. Looking forward to getting feedback from the community and iterating on this. Links to the full piece and the dashboard are below.

Andy Hall

33,905 Aufrufe • vor 5 Monaten

Things I would NEVER do as a marketer in 2026. I would never build my entire visibility strategy around one algorithm. I know the advice you’ve been given: “Pick one channel. Master it. Then expand.” It’s not terrible advice, but it’s not how people actually interact with brands online. The same person might discover you on Google in the morning, watch you on TikTok at lunch, and ask ChatGPT about you that night. Pick one channel, and you’re invisible everywhere else they’re looking. But simply being present everywhere isn’t enough. If your YouTube channel talks about one thing, your Instagram talks about another, and your website barely explains what you do, search engines and AI platforms cannot clearly understand what you should be known for. Instead, choose the topics you want your brand to own and reinforce them across the internet. Answer the same important questions through videos, articles, social posts, interviews, and your website. The format can change, and sometimes the exact same video can work across multiple platforms, but the expertise you are reinforcing should stay consistent. Then follow the signal. Your analytics show which topics and platforms are driving attention. Ubersuggest’s AI Search Visibility shows the piece most marketers cannot see: how often your brand appears across ChatGPT, Gemini, and AI answers and where competitors are showing up instead. The goal is not to post everywhere. The goal is to become impossible to miss whenever someone searches for the problem you solve.

Neil Patel

10,568 Aufrufe • vor 19 Tagen

"There might be some other (natural) explanation. But...I cannot find any other consistent explanation [other] than that we are looking at something artificial before Sputnik 1." ~BV (At the very least, these papers being published SHOULD get the convo about the phenomenon heated up again in the media. In short: On photographic plates taken of the sky before the first human satellite (Sputnik 1) was put into orbit, there appear to be star-like objects that have been labelled "transients.") From the paper in Nature: Scientific Reports "These short-lived transients (lasting less than one exposure time of 50 min)...are absent in images taken shortly before the transients appear and in all images from subsequent surveys." ~~~ (It appears these objects (if that's what they are) are very flat and reflective and not defects on the photographic plate, or self-luminous, as they disappear at statistically-significant rates when in the Umbra (complete shadow) of the Earth. If they WERE photographic defects or self-luminous objects, being in shadow shouldn't affect the amount detected.) Also: "Findings suggest associations beyond chance between occurrence of transients and both nuclear testing and UAP reports." (On, with Ross Coulthart (RC), Beatriz Villarroel (BV) went through the possibilities of what these transients might be: BV: "So there are different plausible explanations. One is maybe that there is something we don't know about the human civilization. And maybe we had a few rounds, already (laughs). It's one possibility." RC: "So maybe there's a prior human civilization that was wiped out as people like Graham Hancock talk about." BV: "That's one possibility." RC: "You know, the Younger Dryas, twelve and a half thousand years ago. Maybe there was a prior human civilization, and a lot of these megalithic monuments we see on the planet are, in fact, remnants of a previous, possibly human civilization. That's a good one. An alternative explanation." BV: "Maybe it's non-human probes that were sent here? Like Patrick Jackson, he has this beautiful suggestion of a surveillance network. And I think that kind of...it looks very logical. If you have another civilization that is capable of constructing these probes, why wouldn't they send here lots of them? So, that's a possibility. "Nature can always surprise us with something we could never have imagined, so I cannot exclude that there might be some other explanation that is just outside my imagination. But for what I see, I cannot find any other consistent explanation than that we are looking at something artificial before Sputnik 1."

"There might be some other (natural) explanation. But...I cannot find any other consistent explanation [other] than that we are looking at something artificial before Sputnik 1." ~BV (At the very least, these papers being published SHOULD get the convo about the phenomenon heated up again in the media. In short: On photographic plates taken of the sky before the first human satellite (Sputnik 1) was put into orbit, there appear to be star-like objects that have been labelled "transients.") From the paper in Nature: Scientific Reports "These short-lived transients (lasting less than one exposure time of 50 min)...are absent in images taken shortly before the transients appear and in all images from subsequent surveys." ~~~ (It appears these objects (if that's what they are) are very flat and reflective and not defects on the photographic plate, or self-luminous, as they disappear at statistically-significant rates when in the Umbra (complete shadow) of the Earth. If they WERE photographic defects or self-luminous objects, being in shadow shouldn't affect the amount detected.) Also: "Findings suggest associations beyond chance between occurrence of transients and both nuclear testing and UAP reports." (On, with Ross Coulthart (RC), Beatriz Villarroel (BV) went through the possibilities of what these transients might be: BV: "So there are different plausible explanations. One is maybe that there is something we don't know about the human civilization. And maybe we had a few rounds, already (laughs). It's one possibility." RC: "So maybe there's a prior human civilization that was wiped out as people like Graham Hancock talk about." BV: "That's one possibility." RC: "You know, the Younger Dryas, twelve and a half thousand years ago. Maybe there was a prior human civilization, and a lot of these megalithic monuments we see on the planet are, in fact, remnants of a previous, possibly human civilization. That's a good one. An alternative explanation." BV: "Maybe it's non-human probes that were sent here? Like Patrick Jackson, he has this beautiful suggestion of a surveillance network. And I think that kind of...it looks very logical. If you have another civilization that is capable of constructing these probes, why wouldn't they send here lots of them? So, that's a possibility. "Nature can always surprise us with something we could never have imagined, so I cannot exclude that there might be some other explanation that is just outside my imagination. But for what I see, I cannot find any other consistent explanation than that we are looking at something artificial before Sputnik 1."

Joe Murgia

24,975 Aufrufe • vor 10 Monaten

My sister sent me these videos. Made me cry. I’m jet lagged today so here’s an emotional share. As some of you may not know, I thought about taking my own life at 27. I know a lot of people (men specifically as they’re my peers and friends) who go through a similar period at a similar age. First off, I want to say, don’t. No matter what you think, just don’t. There will be people out there who think the below about you, the main reasons I didn’t is because I didn’t want to upset my mother and my sister. I wasn’t particularly sad, I just didn’t see the point, everything felt Grey and monotonous. Secondly, if you can climb out of feeling like that, you can overcome or achieve ANYTHING. Literally, re read that. You have nothing to lose. This is how I overcame it. I gave up. I gave up on the person I was and the person I thought others wanted me to be. I just started doing what I liked and not worrying what others might think of it. I spent more time on my pc, learning about crypto, I gamed more, I went boxing when I wanted to I ran if I wanted to. I found a few things I liked / that made me feel good and just did them. Then I tried to improve at those things every time I did them. I took this mentality towards life on the whole. If I like it I’ll do it and if I do it I want to keep getting better. I learnt to play poker and got a national ranking, I competed at esports, I sparred at boxing and helped out at the gym, I grew a crypto tiktok to 60k followers in 6 months. I just started doing what I wanted. Then all of a sudden I’m the person I always wanted to be. Not perfect by any stretch, I just realised I’m a student of life, accepted that with the new tools I’d recognised would help me in dark times and did whatever I wanted to do. Life isn’t easy and hard times will come around again, as will good times, but it also isn’t that deep. If you’re you, that’s enough. Don’t forget that. If you don’t think you are enough, either look at those around you who care about you, and/or start to get better. It’s within your control.

My sister sent me these videos. Made me cry. I’m jet lagged today so here’s an emotional share. As some of you may not know, I thought about taking my own life at 27. I know a lot of people (men specifically as they’re my peers and friends) who go through a similar period at a similar age. First off, I want to say, don’t. No matter what you think, just don’t. There will be people out there who think the below about you, the main reasons I didn’t is because I didn’t want to upset my mother and my sister. I wasn’t particularly sad, I just didn’t see the point, everything felt Grey and monotonous. Secondly, if you can climb out of feeling like that, you can overcome or achieve ANYTHING. Literally, re read that. You have nothing to lose. This is how I overcame it. I gave up. I gave up on the person I was and the person I thought others wanted me to be. I just started doing what I liked and not worrying what others might think of it. I spent more time on my pc, learning about crypto, I gamed more, I went boxing when I wanted to I ran if I wanted to. I found a few things I liked / that made me feel good and just did them. Then I tried to improve at those things every time I did them. I took this mentality towards life on the whole. If I like it I’ll do it and if I do it I want to keep getting better. I learnt to play poker and got a national ranking, I competed at esports, I sparred at boxing and helped out at the gym, I grew a crypto tiktok to 60k followers in 6 months. I just started doing what I wanted. Then all of a sudden I’m the person I always wanted to be. Not perfect by any stretch, I just realised I’m a student of life, accepted that with the new tools I’d recognised would help me in dark times and did whatever I wanted to do. Life isn’t easy and hard times will come around again, as will good times, but it also isn’t that deep. If you’re you, that’s enough. Don’t forget that. If you don’t think you are enough, either look at those around you who care about you, and/or start to get better. It’s within your control.

Cryptoinsightuk

21,171 Aufrufe • vor 1 Jahr

⚠️ THE NEW FINANCIAL SYSTEM IS THE GATEWAY TO SECURED BLOCKCHAIN ELECTIONS ⚠️ Before the midterms? Or will we have to wait until 2028? When the Clarity Act passes before America’s 250th and past election fraud is exposed before the midterms, blockchain elections are a damn near guarantee — and here’s exactly how it unfolds. Exposing the election fraud in 2020 is CRITICAL for the shift. The people will demand it (post exposé). That is why you woke up to a real life nightmare on November 4, 2020. Little did you know that the “pause” was necessary to prevent potentially 1,000 years of global slavery if “The Plan” was not executed. Ripple still had a long way to go, while the public experienced The Great Awakening. Listen to President Trump’s own words from 2020: “I continue to strongly believe that we must reform our election laws to verify the identity and eligibility of ALL voters and to ensure faith and confidence in ALL future elections.” Keyword: ALL Now that President Trump “is back” do you really think the 2026 midterms will just slide? Diving into President Trump’s 10+ Year Plan: How the New Financial System Will Secure Our Elections (Quoted post as a prequel — full thread continues below)👇🏻 🧵(1/9)

⚠️ THE NEW FINANCIAL SYSTEM IS THE GATEWAY TO SECURED BLOCKCHAIN ELECTIONS ⚠️ Before the midterms? Or will we have to wait until 2028? When the Clarity Act passes before America’s 250th and past election fraud is exposed before the midterms, blockchain elections are a damn near guarantee — and here’s exactly how it unfolds. Exposing the election fraud in 2020 is CRITICAL for the shift. The people will demand it (post exposé). That is why you woke up to a real life nightmare on November 4, 2020. Little did you know that the “pause” was necessary to prevent potentially 1,000 years of global slavery if “The Plan” was not executed. Ripple still had a long way to go, while the public experienced The Great Awakening. Listen to President Trump’s own words from 2020: “I continue to strongly believe that we must reform our election laws to verify the identity and eligibility of ALL voters and to ensure faith and confidence in ALL future elections.” Keyword: ALL Now that President Trump “is back” do you really think the 2026 midterms will just slide? Diving into President Trump’s 10+ Year Plan: How the New Financial System Will Secure Our Elections (Quoted post as a prequel — full thread continues below)👇🏻 🧵(1/9)

Ross

21,423 Aufrufe • vor 3 Monaten

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

Atenov int.

65,251 Aufrufe • vor 3 Monaten

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.

GREG ISENBERG

224,173 Aufrufe • vor 3 Tagen