What public figures publish and believe, in their own words.
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Highlights: posts that did unusually well for the person who wrote them, everything
they published at length, each release and new project, and every belief — at most
two a day from anyone. Day by day, newest
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The New Age community, where people pretend to be benevolent Teletubbies, but behind the scenes are as money-hungry, power-seeking, and gossip-spreading as anyone.
Europe, along with China and the United States, is an economic superpower. And, at this point in time, it is arguably the world’s only democratic superpower.
Was it ever the right time? No, it is never the right time to do this. If you put this off, you will eventually find yourself in a situation where you can no longer do it. You will have lost the leverage. Success will not protect you because success is what makes you a target.
According to Harvard Law School, among venturebacked companies that have the standard best practices set up that you got from your lawyer, okay, only 20% of founders are still the CEO 3 years after going public.
If you don't get this right, no other decision you make about your company will matter for the long term because you're not going to be the one making it.
all kinds of famous companies where the thing that destroyed them was not competition. It was not someone else came up with a better product. No, their very success became a liability because the more golden the goose, the greater the temptation to butcher.
I call it the force that no one controls but everyone obeys that tends to drag organizations down into mediocrity to the point that we lose control of them. Now, sometimes we lose control of them because we get fired.
At even $500/kg, launch cost is only 5% of the total satellite deployment cost, so a lunar mass driver is unlikely to drastically improve the economics of space-based AI, by reducing launch costs.
And really from a statistical point of view, what happens at these times of migration is there's just huge fluctuations in frequencies, and these are extremely uninformative times for looking and detecting natural selection.
It may still be the case, and I guess it is, that immune traits are the most selected category, but is not at all the case, and in fact, we can prove it's not the case that behavioral traits are not selected.
our cartoon picture is that the big transition is farming, but the genetic data, the biological readout is saying our genome is reacting much more strongly to this these events that happened 5,000 years ago.
Uh and 98% of it is other factors, especially genetic drift. So it's overwhelmingly migrations and population structure causing fluctuations in frequency.
In fact, multiple analyses we do suggest that the genome is vibrating with natural selection, and uh there's all sorts of weaker effects that are there that would be picked up in larger studies even than we've done. Uh and that uh in fact, almost every position in the DNA is uh correlated to a position that in being dragged in one way or the other uh by natural selection. Instead of being quiescent, natural selection is everywhere.
I think the danger of bears is exaggerated to make sure people do smart things like hanging/locking up food so that bears don't become an actual problem.
The result is something that's beautiful, sharp, critical and lingering. Long after I closed the cover, I found myself mulling over the delicate ways that Lai raised the contradictions, sorrows and beauty of queer love, racial identity, camaraderie, self-control, and self-indulgence. Lai's characters have no answers, only questions that can never be fully resolved. Instead, these questions are the defining puzzles, defeats and triumphs of their lives.
the reviewer is the principal, the contributor is the agent, and code review only worked because the reviewer could cheaply infer effort from reading the code. Agents collapse that signal.
A very good look at the negotiations behind the Geneva Conventions of 1949 and just how driven by national self-interest they were, including colonial motives from the major colonial powers, who wished to retain stronger rights to put down uprisings.
That said! I don't believe you need a group for the activity partners you're looking for. I don't even think you need friends per se for these day-to-day adventures.
Perfect friends are not possible. Instead of wondering how to change them, perhaps try being just a tiny bit more patient, and see how they might end up surprising you.
The bottleneck has shifted from doing the work to writing clear specs and reviewing outputs fast enough to keep the pipeline moving-the middle is hollowing out.
Going forward, I think the future will be filled with software abundance, or, more accurately, I'd call it "software proliferation". That is, centralized development will be history. Software will be highly personalized, especially for open source software.
There is no perfect SAK, but the Compact is the best SAK. And this is not a "smartest Kardashian" scenario. Over the years I have genuinely loved carrying the Compact. Adding the pocket clip and the excellent PDW scales has made it one of my most frequently carried items.
I been through so many air sensors, and I really think this is the best one so I bought one for living room and then another one for bedroom, and will get another one for my coworking
Sure, some skilled sociopaths run amok. But most of those who are crudely, blatantly power-hungry in the long term lose it, or never gain it in the first place.
This post is about whether data centers waste the land they’re on relative to what they compete with, and my claim is that they mostly don’t compete with things we need more of (housing) and mostly compete with things we need less of (farmland).
Efficiency is what TV remote controls are good at, but whenever people try to maximize their productivity in the speediest way, things start to go south.
I have a pet theory that removing the option for antibiotics forces farms to treat animals better, because bad conditions engender disease and without the quick fix of antibiotics that can get very expensive.
In the face of weakened renewable roll-out in Australia, the most likely outcome is simply that coal and gas just generate more, and for many more years past their shut down date.
With that disclaimer out of the way, this is a great book, which simultaneously illuminates some very, very important phenomena, and is very well-written.
Underneath anger is sadness over all your cumulative experiences in life of not being responded to, past and present. The sadness around powerlessness. Unresolved grief.
The whole point of the AT, as far as I could tell, was to endure hardship, and I was about to quit before the first rainy hike and the tallest mountain.
AI is not only an exogenous shock that government will have to absorb. It is also moving the bar on what counts as acceptable service in the first place.
the more that we could build a platform uh around our business, the more that we could build an ecosystem with creators and developers, the harder it would be for folks uh to to just copy that.
as we look forward to, you know, sort of these next generation form factors, things like glasses, there's going to be a whole new set of opportunities and a whole new surface for people to build generational consumer companies.
what really mattered was connecting you to the right people. And so, if you could just connect someone not to all their friends, but to their best friend, to their partner, to their spouse, the people that they cared most about in the world, that that that's where the majority of the value is in the network.
And I think people don't spend nearly enough time thinking about, you know, distribution and figuring out distribution. And that seems to me uh to be a huge differentiator.
As the software industry is largely driven by trends and fashion, React's "cool factor" led to a mass amnesia regarding how to make normal, well-designed web apps made of HTML with a sprinkling of scripting on top and everything became one big tangled, brittle mass of Javascript that completely keeled over when scripting wasn't available.
Ada Palmer may just be the most bewilderingly talented person I know: a genius sf writer, incredible librettist and singer, wildly innovative educator, and a leading historian of the Renaissance, and last year, she published her magnum opus, Inventing the Renaissance, a stunning book about so much more than history
As an econ professor who specialized in governance, I can assure you that the world is greatly structured by the fact that we typically have pretty incompetent governance.
Canada and much of Europe have adopted different interrogation techniques — such as the PEACE method — which emphasize collecting reliable information over coercion. These approaches still garner confessions; they’re just more reliable.
Construction costs tend to rise at, or above, the level of overall inflation, and it rarely (if ever) gets cheaper to build houses, offices, or other buildings.
And now suddenly people are building databases on top of object stores, for example. And now the replication happens at the object store level, no longer at the database level.
generally, like you just want the the cost and the computing capacity to be roughly proportional to the load that you have. And at the low end, that means actually being able to scale down to something that is extremely cheap to run.
Scalability is just like what mechanisms we have for dealing with changes in load. If load increases, how can we add computing capacity to a system, for example, so that the system still continues working?
for me, reliability means fault tolerance primarily. So, meaning that a system should, on the whole, continue working even if like a network link is interrupted or a node crashes or something like that.
Ensuring that moving, borrowing, and sharing don't break the illusion is surprisingly easy to do with a static type system, and surprisingly hard to do with a dynamic type system, or at least hard to do cheaply.
The only lasting path to satisfaction, happiness, skin in the game, maximizing learning, is to really study everybody's game, define your own, and then play it to the best of your ability.
The Lean Startup helps you build a valuable company. Incorruptible is about how and why to protect it, keeping a company mission-driven over the long term instead of letting it rot from the inside.
Much of the product world now recognizes the project model as a turbo-charged feature factory, capable of producing more bad products, faster, than ever before.
You know, radiology is is going to be the first career to go. Nobody's the world's not going to need any more radiologists. Guess what? But we're short of radiologists.
Now why are they willing to make the investments for me and not someone else and the reason for that is because they know that I have the capacity to buy it buy their supply and sell it through my downstream.
I actually see the opposite of what people see I think the number of agents are going to grow exponentially. The number of tool users are going to grow exponentially and it's very likely that the number of instances of all these tools are going to skyrocket.
my mental model of our company the input is electron the output is tokens that is in the middle Nvidia and our job is to to do as much as necessary as little as possible to enable that transformation to be done at incredible capabilities
The link between venture capital and evangelical Christianity was closer than I thought. They're not just analogous; they deliberately cross-pollinate.
Yesterday, I spoke with Mike Solana of the excellent newsletter Pirate Wires, one of the best places anywhere to find some truly heterodox takes about the relationship between tech and politics.
That's why I don't think accelerationist steamrolling will work. The only way this conflict resolves peacefully is some kind of grand bargain: a flagship policy plan that directly addresses the public's top fears about AI and meaningfully redistributes the gains.
From now until forever, most people regulating, protesting, and talking about AI will not be interested in AI per se, but rather how it impacts their preexisting belief systems and political agendas.
Most people hear that story and think: he must have lacked talent, or commitment. I don’t think that’s the right conclusion. I think he was never taught how second language acquisition actually works, and so he spent hundreds of hours doing the wrong things.
Classroom activities like grammar drills and vocabulary tests feel productive. You are doing something. But none of it builds the network your brain actually needs.
Second, we describe with nuance the distinct flavour of panpsychism implied by IIT - whereby space (and time) are tiled with substrates of (proto-) consciousness - and find this is not problematic for the theory.
exceptions are an inherently poor way of handling errors because they make it easier to write bugs which won't be immediately obvious on casual code inspection
these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
This book is a beautiful capstone to a brilliant career that defined the fight for cyber rights, and a deep, accessible dive into the defining tech and human rights battles of this century.
I know this from experience because I've been trying to build a lot of other businesses since. And some of them have been moderate successes, even good successes, none of them have been Basecamp. It's really difficult to do that twice.
Their words now
And I have no shame in saying that Base Camp was the best idea objectively in terms of a business that we've ever had.
But I have come to realize that as a web developer, Linux is just better. Linux is just better. It's closer to what I deploy on. The tooling is actually phenomenal.
Their words now
anyone who's working with the web, who's working with Ruby, who's doing DevOps, they should be on Linux because first of all, that's closer to what we deploy.
Mojito Island is a mirage. It always was. There is no retirement for ambitious people. There is no just sitting back on the beach and sipping a mojito for what? For two weeks before you go damn crazy and wanna get back into the action?
Their words now
I think that's the other big misconception that some people have about wealth is that they conceive of it as some sort of checkpoint. Like once you've made it, then you can just kick back in leisure as though that was happiness.
The joy of a programmer, of me as a programmer, is to type the code myself. If I elevate myself, if I promote myself out of programming, I turn myself into a project manager. A project manager of a murder of AI crows as I wrote the other day.
Their words now
I have been hyper accelerated as a programmer. It's a different kind of programmer, but it still has the same affinity to aesthetics, at least when I'm producing Ruby code.
Yeah, AI is an amplifier. And if uh if you're young and learning quickly, AI is going to amplify that or can amplify that. So, I I personally think this is this is the golden age of the junior programmer.
That's a You know, people want the answer, and the answer is changing. So, you can't possibly in this environment have the answer. Now, that's the bad news. The good news is nobody else has the answer either. So, you're just as smart as everybody else because you're just as ignorant as everybody else.
Yeah, what what's the smallest experiment I can run to verify to my own satisfaction and everybody's level of satisfaction is going to be different whether or not this claim is true. That's That's the skill that is suddenly in the last year become a thousand times more valuable is that skill of saying, "What's the least I can do to validate for my to my own satisfaction whether this claim is true?
So, as seniors, I figure it behooves us to demonstrate not just how to use these tools effectively, but how to figure out how to use these tools effectively, cuz that's a whole different set of skills.
And one of the things I noticed is for 25 years we've kind of had the answers. Somebody comes to us and says we have too many bugs or like, all right, well, here's how you write tests. Oh, I can't write tests. Well, here's how you design so you can write tests. It's just kind of press play uh on the recorder. And the thing that's changed is at this moment nobody knows the answers to anything.
the point is that where we always get bottlenecked is where the the previous processes and and and heuristics don't apply. Right? Like that's almost sort of definitionally what causes the bottlenecks.
And like, this idea that people have that that that Newton was um sort of the the first modern scientist is is somehow wrong. He I mean, it's there's some truth to it, but he really had this very different way um of of looking at the world that was part sort of superstitious um and part modern. It was a funny hybrid.
Um I think another similarity is I mean, the core notions uh behind Agile and extreme programming are solid and good, but a huge snake oil industry appeared around it, the Agile industrial complex as I like to refer to it. Um and that will happen. That is happening with AI right now, and it's often hard to see the difference between where is the snake oil and where is the real stuff.
one of the things that I took from that was to use this tool well, you have to learn how to use it well, which was also something very true of object orientation.
but the thing about AI is that, you know, all of many of these things we were talking about how important they were and how valuable were and trying to persuade people of the importance of them. Yes, even the internet. That may sound surprising, but there were people who would weren't thinking that was important. Um but AI, there's kind of no argument about how important it is. People can't can I mean, you cannot put blinkers on to deny the importance of this thing.
Libertarians always want to let industries regulate themselves, arguing that if they do harmful things then the market will respond. But the market will only notice immediate, severe harm.
There's strong epidemiological evidence associating ultra-processed foods with a range of negative health outcomes, at least on par with the evidence we had for smoking.
I expect AI to increase productivity of top mathematicians much more than that of top writers, because formalization is a kind of translation task, it doesn't require much judgement, and as long as it compiles noone needs to read the result.
This took some special care, in particular avoiding any C++ standard library I/O functionality. Current frontier AI cannot handle this detail on their own.
For years, it was faster to mock up software than to ship it. Designers stayed "ahead" of engineering with prototypes. Now AI coding agents make development so much faster that the loop has flipped.
There's a question that never goes away in design: should designers code? My answer has always been yes. But for a decade or so, the complexity of front-end development made it impractical for most. Thankfully, AI coding agents have reopened the door.
Many of the indicators I use to track unfolding events are explained in Principles for Dealing with the Changing World Order. I especially recommend Chapter 6, “The Big Cycle of External Order and Disorder,” and, if you are interested in the unimaginable-in-peacetime investment-related developments that typically happen during wars, I recommend Chapter 7, “Investing in Light of the Big Cycle.”
I discovered Campbell's work during that great transitional period of my life (in my early 30s, when I left the wrong career and the wrong relationship, and set sail into the unknown) and it has been a mainstay ever since.
Today’s best AI systems are good enough that they’re now inside the fuzzy conceptual cloud of “AGI-ish”: that is, they’ve surpassed some people’s definitions of AGI, while falling well short of others’.
Something I've been thinking about - I am bullish on people (empowered by AI) increasing the visibility, legibility and accountability of their governments.
the likelihood of inspiring someone to build a competitor was too high, and the return on sharing was too low to justify the exposure. That threshold has effectively collapsed to zero.
By transforming a physical, three-dimensional counter into a two-dimensional sign, these early accountants made a momentous step towards history's inaugural information technology: writing.
Even other domesticated foods like root crops and tubers proved remarkably resistant to the tax collector, because they grow underground and can safely be left in the soil for months, even years.
I gave pi a skill for using the search engine SearXNG (which aggregates many search engines together at the same time), and one for calling into a daemon that I wrote that gives it access to read my email and Signal messages, and send-to-self, and send to others only with human confirmation.
The verdict: pi plus a basic searxng skill outperformed Local Deep Research. Also, pi is just much more configurable: I can easily just tell it to use not just internet searches, but also my own world_knowledge directory.
Its responses are, in my view, pretty bland and not very high-quality. I did a side-by-side test of asking Local Deep Research a question, then asking pi the same question (telling it to use searxng to make as many internet searches as needed), and I fed both outputs into an LLM to ask which is better.
I was not impressed with the DGX Spark; it's described as an "AI supercomputer on your desk" but in reality it has lower tokens/sec than a good laptop GPU - and on top of that, you have to figure out the networking details of how to connect to it from your actual work device etc.
if you try to do a really good job at every company you've been working well with all the people that you work with, including your own team, your peer, whatever it is. Over time, very slowly, you accumulate a decent reputation in people's mind.
There may be a lot of AI things that's going on right now, right? Uh eventually some of these things will consolidate, some will go under, some will become really awesome solutions and all that stuff. And so, but the the market will sort it out.
There has to be sound business model that makes sustained profit, right? Growth and profit. Growth alone eventually burn, you know, money and that's not good.
Focus on making great computers with great user experiences above all else, and you can trust that every other major goal will follow: profit, market share, expansion, impact, and benefit to the world.
Immense scale, soulless optimization, and an insatiable thirst for growth dominate its behavior and discourse, leaving little room for the spirit and principles embodied by Steve Jobs and Steve Wozniak.
If I say it reads a bit like fanfic for Neumeier's own work, that sounds like I'm damning it, but I actually enjoyed it, because, I wanted good things to happen for those characters, who'd had drama enough and to spare.
So, I think of them as the top of the long long tail long tail problem. Like, something very common issues that a lot of people experience. AI will get really good at it. And over time AI will cover more more edge cases, but the edge cases will never go away.
The product you build is just solving a problem. So, is that like is the more you do that, the better you become at problem solving. And one thing I do believe that it will never change that there will always be problems to solve.
And the more you build, right? The more you put things out there, you remove the need for imagination. You can say, "Okay, now I like that website. Do that for me."
I feel like now I can build anything I want. But at the same time, anyone can build anything I want. So, what is the incentive structure for me to do anything?
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
There's too much yearning in the book, too much dark humor, and too much of a characteristic attempt to keep finding some thread to follow through all the sadness. This book is mournful but not bleak.
Meanwhile, others like Spotify and Netflix leverage their dominant positions in the market to coerce creators to abandon open podcasts entirely, in favor of proprietary formats that require listeners to be on those platforms — locking in both creators and their audiences so they are stuck as they begin the enshittification process.
As publishers see the danger from AI bots expand, they retreat to putting more and more content behind either password protection or payment walls or both, leaving the only publicly-accessible content to be AI-generated slop; open resources like research work, scientific analysis, and fair use of content all suffer as a result of people responding to the bad actors, since legitimate uses of open content are no longer possible.
The deal was always simple: search engines had permission to crawl sites because they were going to be sending users to those sites. If they're hitting your site half a million times for every one user they send to your site, all they're giving you is higher costs.
The winning system of the next decade will not be the one with the most aesthetically pleasing buttons, nor will it be the one with the fewest screens. It will be the system that best understands the human’s “job to be done,” autonomously selects the right tools on their behalf, clearly shows the user what is about to happen, and gracefully recovers when the user’s context is incomplete or ambiguous.
Another conclusion might be that the online ecosystem has become so polluted-so fragmented, deceptive, overstimulating, ersatz-that it has warped our ability to exercise taste at all.
A.I. companies need to associate themselves with taste precisely because their tools are not very palatable, much less cool, to anyone outside of Silicon Valley.
This is not the case with many other technology driven industries where capability or advancements often tend to be longer held and a fast-follow model is harder.
While not technically a piece of gear, travel insurance is something you need on the road. In fact, it’s the MOST IMPORTANT thing you need, because it protects all your other gear.
Away is my go-to brand for durable, quality luggage. Their hard shell carry-on suitcases are lightweight and fit perfectly into overheard bins, ensuring you have plenty of room for all your gear while still letting you travel carry-on only.
If you want something better than your phone but still easy to use, get a GoPro. They're durable and take incredible photos and videos without a steep learning curve.
The wireless Bose QuietComfort 45 headphones are fan favorites and my go-to brand. They are comfortable, rechargeable, and do an amazing job at removing background noise.
One common issue with personalization in all LLMs is how distracting memory seems to be for the models. A single question from 2 months ago about some topic can keep coming up as some kind of a deep interest of mine with undue mentions in perpetuity.
Worse, you realize that the gazillions of unit, snapshot, and e2e tests you had your clankers write are equally untrustworthy. The only thing that's still a reliable measure of "does this work" is manually testing the product.
You can give it a Bash tool so it can ripgrep its way through the codebase. You can give it some queryable codebase index, an LSP server, a vector database. In the end it doesn't matter much. The bigger the codebase, the lower the recall. Low recall means that your agent will, in fact, not find all the code it needs to do a good job.
And organizations have super high pain tolerance. But human-made enterprise codebases take years to get there. The organization slowly evolves along with the complexity in a demented kind of synergy and learns how to deal with it. With agents and a team of 2 humans, you can get to that complexity within weeks.
With an orchestrated army of agents, there is no bottleneck, no human pain. These tiny little harmless booboos suddenly compound at a rate that's unsustainable. You have removed yourself from the loop, so you don't even know that all the innocent booboos have formed a monster of a codebase. You only feel the pain when it's too late.
An agent has no such learning ability. At least not out of the box. It will continue making the same errors over and over again. Depending on the training data it might also come up with glorious new interpolations of different errors.
You can staff a school with the best teachers on earth, give them unlimited resources, and wrap the place in every evidence-based intervention imaginable, and it still won’t work if students are resistant, disengaged, or actively hostile to the enterprise.
Education is not something that can be done to someone; it’s something that requires at least a minimal act of will from the learner, and no reform agenda can engineer that away.
so many times that process has been managed by humans because you're selecting the right candidate build and you're verifying it and you're thinking, you know, you're figuring out cherry picks and then you like rebundle and then you send it out and that doesn't scale if you have one or two or a handful of people trying to make group decisions and do group sense making.
And not only that, but like humans were already a bit of a bottleneck in the review process. Now it can be worse because things that we fairly straightforward changes that some companies had automation around reviewing, they've removed that reviewing because if AI is involved and they're worried about the verifiability or the reliability of the code.
There were a handful of people probably managing a security review process or a launch process or a deployment process or, you know, sometimes reviews were a little slow and they got backed up. Well, now we just threw gas on the fire and so all of that is a problem.
And so, like in the immediate term, yeah, we were getting more out, but now our systems, whether technology systems or human systems or processes, are really kind of getting overwhelmed.
I kind of went from 80/20 of like, you know, uh to like 20/80 of writing code by myself versus just delegating to agents. And I don't even think it's 20/80 by now. I think it's a lot more than that. I don't think I've typed like a line of code probably since December basically.
Um we are seeing a lot fewer sort of pure AI solutions now where um they are just one shots the problem. Um so so there was there was a month where that happened and and that has stopped.
you know, right now we're going through uh an in um an cognitive version of the Copernican revolution where we used to think that human intelligence is the center of the universe. And now we're actually seeing that there's there's very different types of intelligence um that that that are out there uh with very different strengths and weaknesses.
So, you you can't look at any given scientific achievement purely in isolation and give it an objective grade without being aware of the context both in the the past and the future. And so it it it may never be something that you can just reinforcement learn the same way that that you can for much sort of more localized problems.
So, we're now in a situation where suddenly people can generate thousands of theories for a given scientific problem. And now we have to to verify them, evaluate them and this is something which we we have to to change our structures of science to actually sort this out.
So, I think AI has basically driven the cost of idea generation down to almost zero in a very similar way to how the internet drove the cost of communication down to almost zero, which is an amazing thing, but it you know, it it it doesn't make it doesn't create abundance by itself.
And what you can do if you've got one of these conformance suites is you can give it to a a good agent and say, "Write code until this test suite passes." And it kind of will.
just cuz the test suite passes doesn't mean that the web server will boot. You know, there's there's always a chance that when you actually try in the real world, something's not going to work.
LLMs make it easy for anyone to add new features to the product. Even before AI, teams were battling feature creep, where the product becomes increasingly complex, bloated, and cluttered.
Because Enthropic saw it before Google. And then Google had Nano Banano and Gemini 3 which caused their user metrics to skyrocket and leadership at Google was like oh and then they started making the statement of we have to double compute every is it 6 months or I don't remember the exact number that they said.
TSMC is much more excited to give allocation to Graviton than they are to tranium because they view CPU business as more stable long-term growth right and as a company that is conservative and doesn't want to ride cycles of growth too hard you actually want to allocate to the uh the market that is more stable and lower growth rate first before you allocate all the incremental capacity to the fast growth rate market.
Um I think at least this year we're going to see margins for the model vendors go up a lot, right? Because they're so capacity constrained, they have to demand destroy demand, right? there is there's no way they can continue anthropic can continue at the current pace without destroying demand.
A companies that have locked up, you know, and and don't have commitment issues, you know, have these 5-year contracts for compute, they've kind of locked in a humongous margin advantage because they've locked in compute for 5 years at a price of what it transacted at 5 years ago or three years ago or two years ago, whatever it is.
if improvement stopped you know here the value of an H100 is now predicated on the value that GPD 5.4 four can get out of it instead of the value that GP4 can get out of it and the margins and all that stuff that these labs are doing and they're in a competitive environment so their margins can't go to infinity. Um so you sort of have this like dynamic that is quite interesting in that an H100 is worth more today than it was 3 years ago.
Everybody thinks our schools are in crisis all the time because they’re being forced to do something they were never meant to do, which is to make everyone college-ready, and they’re being forced to do that because we have seen jobs that provide a living wage without a college diploma evaporate.
But please, stop saying things like “I just want us to get back to a world where kids were graduating high school with basic skills!” Because the world you’re referring to never existed.
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