Loading video...

Video Failed to Load

Go Home

This was a great take on THE EMAIL by Will Lyster! It’s not about the five things you did last week. It’s about the CC: line. This email request is a goldmine of passive intelligence for DOGE if Artificial Intelligence (AI) is applied correctly – and I assume it...

18,702 views • 1 year ago •via X (Twitter)

11 Comments

CaliRN619 🚑🩺🚑's profile picture
CaliRN619 🚑🩺🚑1 year ago

6️⃣ Productivity Alignment & Department Focus AI can categorize bullet points into key themes (operations, citizen services, research) to determine if a department’s work aligns with its mission. Employees whose tasks consistently fall outside their team’s focus could be operating under an unofficial directive. If a team diverges significantly from others in its reporting style, AI could flag it for further investigation. AI could assess whether a department’s output aligns with its objectives, ensuring no wasted efforts on unnecessary projects. 7️⃣ Tracking Hidden Communication Networks If employees regularly CC a peer or external contact instead of leadership, it suggests a side network operating in parallel. If someone receives frequent CCs but never submits their own report, they may be coordinating a shadow effort behind the scenes. Conversely, a key figure who is never CC’d despite their leadership role may be intentionally avoiding detection. AI could detect cross-departmental clusters that work together despite having no formal reason to, exposing hidden alliances. 8️⃣ Detecting Insider Networks & Gatekeeping Behavior If a particular individual receives CCs but isn’t part of the official reporting chain, they may be vetting or filtering information before it reaches formal leadership. If employees always CC the same “influencer” before their actual manager, AI could flag this as an attempt to control messaging. Managers who are routinely bypassed in CC chains may have lost authority, revealing a power vacuum that someone else has filled. If an employee is frequently omitted from CC lists despite being a key decision-maker, it could indicate an effort to cut them out of the loop. 9️⃣ Auto-Flagging Compliance Issues AI could ensure all employees follow CC protocol, flagging missing responses or employees who consistently bypass proper channels. If someone suddenly stops CC’ing their manager, it could indicate a shift in reporting loyalty or an attempt to operate unnoticed. Employees who repeatedly delay responses or submit vague reports might be hiding productivity issues or sensitive work. If an employee sends different versions of their response to different managers, it could suggest selective information sharing or an attempt to manipulate reporting. 🔟 Exposing the Absence of Data as a Clue AI can identify employees who receive many CCs but never submit their own report, signaling potential hidden leadership roles. If an entire department has identical responses, except for one person, AI can highlight that individual for further review. If a key manager never receives CCs despite leading a department, they might be a figurehead with no real influence. If a particular team sends reports in an unusual format or timing, it could be an attempt to avoid pattern detection by AI.

Justus 🇺🇲's profile picture
Justus 🇺🇲1 year ago

@wlyster DOGE just turned a simple email into a bureaucratic X-ray machine. AI isn’t just tracking ‘work’—it’s mapping shadow hierarchies, rogue teams, and who’s really in charge. The swamp won’t know what hit them.

C-Reason🇺🇸's profile picture
C-Reason🇺🇸1 year ago

@andyH4trump @wlyster You would have thought that every government position had a job description, with a list of responsibilities associated with it.

NotePass's profile picture
NotePass2 years ago

The biggest mistake we made with the internet was handing over all our data to big tech. Let’s not make the same mistake with AI. With NotePass, you get end-to-end encrypted Private AI assistants: no one else can see your conversations or data you upload, not even us.

SheilaG2024's profile picture
SheilaG20241 year ago

@andyH4trump @wlyster Its simple accountability. Every job I ever worked I had to do a summary of what I did every week

CaliRN619 🚑🩺🚑's profile picture
CaliRN619 🚑🩺🚑1 year ago

@andyH4trump @wlyster Same!! It’s so weird that the Dems are acting like he’s asking for the left testicle of their first born.

Monica's profile picture
Monica1 year ago

@wlyster Elon is brilliant! 💥🇺🇸🚀 This whole email-earthquake will be interesting.

Tosca Austen's profile picture
Tosca Austen1 year ago

@wlyster Liberals making a big deal out of accountability. There’s not an American to be found that hasn’t encountered a lazy federal employee. Not that they’re ALL fatigued federal workers, but there are many.

Madder than Max's profile picture
Madder than Max1 year ago

Yes. There is much more here than meets the eye. And when you have half of a workforce that thinks their job is basically civil disobedience or truly thinks they are public servants vs literally public employees, it can root out areas of complete graft on which to focus. The collective gasp over this tells more than anything - it’s a grifter culture.

NanLee Marie Carissimi's profile picture
NanLee Marie Carissimi1 year ago

@wlyster Wow. Excellent take - SO informative and thanks for sharing !

I am Ken's profile picture
I am Ken1 year ago

@wlyster 😂Could be real😂

Related Videos

Marc Andreessen says raw intelligence might be the worst qualification for leadership — and it changes everything about how we should think about AI. "If the leader is more than one standard deviation of IQ away from the followers, it's a real problem." Andreessen points to the US military, one of the earliest and most rigorous adopters of IQ testing, as the source of this insight. They slot people into specialties and leadership roles based on IQ scores. And over the years, they kept seeing the same pattern. A leader who is significantly less intelligent than their people struggles to model how those people think. That part is intuitive. But the reverse turns out to be equally true. "It's actually very hard for very smart people to model the internal thought processes of even moderately smart people." A leader who is two standard deviations above the norm of the organisation they're running also loses theory of mind, that ability to hold an accurate model of what's happening inside someone else's head. The gap is too wide in both directions. Andreessen then takes this to its logical conclusion: "If you had a person or a machine that had a thousand IQ or something like it, its understanding of reality would be so alien to the people or the things that it was managing that it wouldn't even be able to connect in any sort of realistic way." An AI that vastly outthinks every human in the room isn't positioned to lead those humans. It's positioned to be completely incomprehensible to them. Leadership has never really been an intelligence problem. It's a connection problem. And no amount of raw intelligence closes that gap — past a certain point, it only widens it. The world will not be run by the smartest thing in the room for a long time. Maybe ever.

Big Brain AI

366,743 views • 6 months ago

A new way of working. And a scary one at that. Memory Store is one of a group of new kinds of AI-first companies that can turn you into a Fast Company. I’m using several of them on my desktop and they are a dramatically new way to work. It builds a memory for: 1. Your AI agents. 2. Any employee using it. 3. The company itself. I sit down with founder Diwank Singh Tomer, Diwank Singh Tomer, who both freaks me out as well as shows how AI can radically help workers as well as managers. First, why does it freak me out? Well, his AI watches nearly everything a worker does and keeps a “memory” of it. It watches your email. Your calendar. Your Slack. And a whole lot of other things. This can really freak out workers if “forced” on them. And leads to a whole new set of security issues companies need to consider before adopting these things. Such data about a company could give a competitor a HUGE advantage, if leaked. They would know how a company “thinks.” It really is a surveillance system for employees and the company itself. OK, now why would anyone ever use such a thing? Because it gives employees super powers. It makes them more productive. Shows workers a lot of things about themselves, and helps them work and stay on task. It also gives the company super powers. Institutional memory stays with the AI now, even if an employee dies or leaves. As companies move to “AI First” approaches, they will increasingly see the value in companies like Memory Store. It prepares employees for meetings. It helps them remember things. It shows them what they should be working on, and helps them do it. Memory Store builds a memory for: 1. Your agents. 2. Your company. 3. Yourself, or any employee on it. This helps all three work better together. Diwank Singh Tomer and I go in depth about what it does and how deeply it improves working at a company that deploys it. But to get the ultimate benefits you gotta convince your coworkers to use it. And your managers to approve it. Which means you have to get over your fears and get everyone you work with over theirs too. Which will be the challenge for Diwank. Luckily for him his first customers are raving about how good it is and how much his platform helped their companies. Increases sales. Makes teams more productive. Decreases errors and unnecessary costs. Which tells me everyone soon will be using systems like this. This is what the new way of working looks like. Once I got over my fears it sure is an amazing way to work. Will you try working this way?

Robert Scoble

26,186 views • 4 months ago

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 views • 9 months ago

🧵31/34 Orthogonality Thesis --- Now if you ask: why would something so clever want something so stupid, that would lead to death or hell for its creator? you are missing the basics of the orthogonality thesis! Any goal can be combined with any level of intelligence, the 2 concepts are orthogonal to each-other. Intelligence is about capability, it is the power to predict accurately future states and what outcomes will result from what actions. It says nothing about values, about what results to seek, what to desire. 40,000 death recipies --- An intelligent AI originally designed to discover medical drugs can generate molecules for chemical weapons with just a flip of a switch in its parameters. Its intelligence can be used for either outcome, the decision is just a free variable, completely decoupled from its ability to do one or the other. You wouldn’t call the AI that instantly produced 40,000 novel recipes for deadly neuro-toxins stupid. Stupid Actions --- Taken on their own, there is no such thing as stupid goals or stupid desires. You could call a person stupid if the actions she decides to take fail to satisfy a desire, but not the desire itself. Stupid Goals --- You COULD actually also call a goal stupid, but to do that you need to look at its causal chain. Does the goal lead to failure or success of its parent instrumental goal? If it leads to failure, you could call a goal stupid, but if it leads to success, you can not. You could judge instrumental goals relative to each-other, but when you reach the end of the chain, such adjectives don’t even make sense for terminal goals. The deepest desires can never be stupid or clever. Deep Terminal Goals --- For example, adult humans may seek pleasure from sexual relations, even if they don’t want to give birth to children. To an alien, this behaviour may seem irrational or even stupid. But, is this desire stupid? Is the goal to have sexual intercourse, without the goal for reproduction a stupid one or a clever one? No, it’s neither. The most intelligent person on earth and the most stupid person on earth can have that same desire. These concepts are orthogonal to each-other. March of Nines --- We could program an AGI with the terminal goal to count the number of planets in the observable universe with very high precision. If the AI comes up with a plan that achieves that goal with 99.9999… twenty nines % probability of success, but causes human extinction in the process, it’s meaningless to call the act of killing humans stupid, because its plan simply worked! It had maximum effectiveness at reaching its terminal goal and killing the humans was a side-effect of just one of the maximum effective steps in that plan. One less 9 --- If you put biased human interests aside, it should be obvious that a plan with one less 9 that did not cause extinction, would be stupid compared to this one, from the perspective of the problem solver optimiser AGI. So, it should be clear now: The instrumental goals AGI arrives to via its optimisation calculations, or the things it desires, are not clever or stupid on their own. Profile of Super-Intelligence --- The thing that gives the “super-intelligent” adjective to the AGI is that it is: “SUPER-EFFECTIVE”. • The goals it chooses are “super-optimal” at ultimately leading to its terminal goals • It is super-effective at completing its goals • and its plans have “super-extreme” levels of probability for success. It has Nothing to do with how super-weird and super-insane its goals may seem to humans! Calculating Pi accurately --- Now, going back to thinking of instrumental goals that would lead to extinction, the -142C temperature goal is still very unimaginative. The AGI might at some point arrive to the goal of calculating pi to a precision of 10 to the power of 100 trillion digits and that instrumental goal might lead to the instrumental goal of making use of all the molecules on earth to build transistors to do it, like turn earth into a supercomputer. By default, with super-optimisers things will get super-weird!!

Lethal Intelligence

1,859,374 views • 1 year ago

For some reason, people seem to think that if someone is strong, athletic, resilient and never complains, it means they can be treated a little differently. You can suddenly hang on them, jump on their back, lean your full weight on them, have them carry you around the stage, sit on their shoulders, or shove them for the sake of a laugh or a memorable moment. After all, they'll handle it. They're strong. But strength does not make a person invulnerable. Behind a beautiful smile, professionalism and the habit of enduring everything, there may be pain that those around them simply don't notice. And even if they do, they may not consider it serious enough to change their behavior. What makes it even more concerning is when that person has already spoken openly about their health issues. Problems with the spine, neck or herniated discs are not something that should be brushed aside. A single awkward movement, an unexpected load or a sudden loss of balance can trigger a flare-up, a pinched nerve or even a new injury. And the consequences don't always appear immediately. Sometimes the pain doesn't set in until hours or even days later. Personally, I've never found these kinds of "jokes" funny, cute or something that represents a healthy family or friendship dynamic. When someone doesn't expect another grown adult's full weight to be thrown onto them, they have no time to brace their muscles, distribute the load properly, or keep their balance. In a split second, the strain falls on the spine, neck, knees and ankles. If that person is already bent over or in motion, the risk becomes even greater. The saddest part is that people who never complain are often the ones others worry about the least. They're seen as the reliable one - the person who can handle anything. But that's a dangerous misconception. No one should be expected to endure pain simply because they look strong. No one should become the target of these kinds of pranks just because they're capable of staying on their feet. Real care from the people around you isn't shown after you've already been injured. It's shown much earlier - by consciously avoiding situations that could cause harm in the first place. Especially when you know someone has existing health issues. And it's hard to believe that the people closest to him wouldn't know, when even millions of complete strangers do.. What stands out the most is that these "games" always seem to happen to the same person and involve nearly half of the people who are supposed to be his family. Why is he always the one people suddenly jump on, hang off, use as support or turn into part of a joke? I truly hope people stop treating physical strength as permission to keep testing its limits over and over again. Because health is not something worth risking for a few seconds of laughter or attention. Some things can be fixed. Others leave injuries that can stay with a person for the rest of their life. I sincerely hope that people will begin to see not only the strength of a strong person, but the human being behind that strength, someone who also deserves to be protected. Especially by those who are supposed to be family. And believe me, I'm not trying to be overprotective or act like an overbearing "mom". I'm not blowing this out of proportion and I'm not treating him like he's fragile. I know #Jungkook is a grown man. I know he's been with the members for many years. But none of that cancels out my concern or common sense. I expect mature, reasonable adults to understand why so many people are upset by these repeated "games". WE LOVE YOU JUNGKOOK ♥️

𝕁𝕌ℕ𝔾𝕂𝕆𝕆𝕂 | ℂ𝕀𝕊 𝔽𝔸ℕ𝔹𝔸𝕊𝔼

179,170 views • 2 months ago

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails

geoff

81,509 views • 3 months ago

Mark Zuckerberg: "I'd rather hire someone with raw intelligence and no experience than a 10-year veteran" "The two most important things I look for, number one is just raw intelligence." Zuckerberg explains why: "You can hire someone who is a software engineer and has been doing it for 10 years. If they've been doing it for 10 years, that's probably what they're doing for their life. And that's cool. There are things that person can do. They're definitely useful in an organization." But here's the tradeoff: "If you find someone whose raw intelligence exceeds theirs but has way less experience, they can probably adapt and learn way quicker. Within a very short amount of time, they'll be able to do a lot of things that the experienced person may never be able to do." The second thing he looks for: "Alignment with what we're trying to do. People can be really smart or have skills that are directly applicable. But if they don't really believe in it, they're not going to work hard. Even if they're a smart guy who doesn't have the relevant experience, if they don't care enough, they're not going to develop the relevant experience in order to succeed." On who he's actually hired: "The best people I've hired so far have been people who didn't really have that much engineering experience. I hired a couple of electrical engineers out of Stanford as new programming staff. They had very little programming experience going in. But just really smart. Really willing to go at it." He gives an example: "The guy who built Photos was one of those guys. If you're willing to just go and do whatever it takes to get it out, you're probably more valuable than someone who's just a career software engineer."

Jaynit

402,132 views • 5 months ago