The pandemic analogy is uncomfortable because it's too good. Most people were making travel plans while the world was about to shut down. Today most people are using AI to look up recipes while the logic of work shifts beneath their feet. It's not hype, it's the same old pattern: weak signals that only seem obvious once it's too late to ignore.

The Anthropic revealed an annualized run-rate revenue of $30 billion and plans to consume 3.5 gigawatts of next-generation Google TPU chips — and that single paragraph already captures well the stage we're at in the AI race: absurd numbers announced with the casualness of someone talking about the weather. The most revealing detail in the story, however, isn't Anthropic's numbers. It's who felt the need to protect themselves: Broadcom included an explicit note in its regulatory filing stating that the consumption of all that computing capacity depends on Anthropic's "continued commercial success." In corporate language, that's the equivalent of saying "we bet big on them, but, let's be honest, we're not guaranteeing anything." It's rare to see a supplier flag the risk posed by its own customer in a regulatory document — which says a lot about the scale of the commitments involved and the uncertainty that still surrounds even the industry's biggest bets. Anthropic responded to the skepticism by disclosing that its run-rate revenue grew from approximately $9 billion at the end of 2025 to over $30 billion now — more than 3x growth in a matter of months. The number of enterprise customers spending over $1 million annualized doubled to more than 1,000 in under two months. These are metrics that, if accurate, justify the optimism. If inflated by the current hype cycle, they justify exactly the caution Broadcom is showing. At its core, what this story illustrates is the structure of mutual dependency taking shape: Anthropic needs Google's and Broadcom's infrastructure to scale; Broadcom needs Anthropic to succeed for the investment to make sense; and Google profits in every scenario — as a cloud provider, as an investor, and as a competitor with Gemini. The game is far from simple, and the $30 billion run-rate is as much an argument as it is a promise.

This article offers a comprehensive and well-grounded review of hydration and health, yet there are relevant perspectives worth adding — ones that complement, and in some points challenge, its conclusions. **1. The paradox of thirst as an insufficient guide in tropical climates** The article acknowledges that the thirst mechanism is sophisticated, but admits its limitations in the elderly. This critique could be extended to populations living permanently in hot and humid climates — such as much of sub-Saharan Africa and Brazil — where chronic heat desensitization may produce a habitual state of hypohydration that the body does not adequately signal through thirst. In these contexts, waiting for thirst before drinking is a physiologically inadequate strategy for a considerable portion of the world's population, one rarely addressed by recommendations built on North American and European data. **2. The biomarker gap and what it conceals** The authors are candid in stating that no adequate population-level biomarker exists for assessing hydration status. This gap, however, carries a silent consequence: water intake recommendations (the so-called *Adequate Intakes*) were constructed on a fragile methodological foundation — self-reported consumption medians. This is equivalent to setting a nutritional target based on what people already do, rather than what they should do. The article raises this problem, but could have been more forceful: we may be perpetuating a collective state of mild dehydration and calling it "adequate." **3. Water and cognition: methodological confusion has practical implications** The section on cognitive performance is one of the richest, yet also the most frustrating. Studies diverge because they combine heat, exercise, and fluid restriction in different ways. What becomes clear is that mild dehydration consistently affects *mood and alertness*, even when its impact on specific cognitive tasks is inconsistent. This is directly relevant to school and workplace settings: we do not need to wait for measurable cognitive deficits to justify better hydration practices — the impact on subjective well-being is already sufficient grounds for a public health argument. **4. The elephant in the room: who funds the research?** The article discloses funding from Nestlé Waters among its sources. This does not invalidate its conclusions, but deserves critical reflection. The bottled water industry has an obvious interest in recommendations that raise individual water consumption and question the adequacy of habitual intake. The gaps the authors identify — absence of long-term controlled trials, undefined biomarkers — conveniently create space for further industry-sponsored research. A discerning reader should weigh this when evaluating the strength of the final recommendations. **5. Water versus caloric beverages: a matter of supply, not just choice** The article documents the growth of caloric beverage consumption as a substitute for water and points to its negative effects on energy balance. However, the analysis remains at the individual level, as though this were simply a matter of personal preference or nutritional education. The structural dimension is missing: in many low-income urban and rural communities, safe drinking water is inaccessible or of questionable quality, making industrially processed sugary drinks the most practical — and at times the safest — available option. Health policies that fail to address access to treated water are unlikely to shift consumption patterns through nutritional guidance alone. --- In summary, this article is a solid reference that remains relevant more than a decade after its publication. Its greatest contributions lie in its honesty about the field's gaps. Its greatest weaknesses lie in remaining within a narrow methodological and geopolitical frame — one that privileges data from wealthy nations and underestimates the social and environmental determinants of hydration.

What strikes me most here is the anemoia framing nostalgia for a time you never lived. That's not just a cultural curiosity, it's a signal that the mental model of "digital = progress" has quietly collapsed for an entire generation. When your own users are your loudest critics, that's not a PR problem. That's a product failure. The analog economy isn't a trend. It's a verdict.

This is one of the clearest walkthroughs of GPU-accelerated cellular automata I've come across. The progression from Conway's Game of Life as a baseline all the way to continuous automata like SmoothLife is well-paced — it makes the complexity feel earned rather than dumped on the reader. The choice to use WebGPU compute shaders specifically (rather than fragment shader hacks, which most tutorials still default to) shows a real understanding of where the platform is going. Would love to see a follow-up on reaction-diffusion systems — they feel like a natural next step after SmoothLife.

good writeup but i'd push back slightly on framing this as "AI dying". what we're actually watching is a classic infrastructure overbuild cycle, same playbook as the fiber optic boom in the late 90s. companies laid enough cable to last decades, most of them went bankrupt, but the infrastructure stayed and enabled everything that came after. the difference here is energy, fiber was a one time capex, power draw is ongoing and scales with usage, that's a fundamentally different debt structure. the pilot purgatory stat is the one that should scare investors the most though, 54% transition rate means nearly half the enterprise AI spend right now is essentially vaporware on a balance sheet. add the DRAM bottleneck on top and you have a compressing timeline with no obvious release valve. not predicting a crash, predicting a very ugly consolidation where 4 or 5 players survive and everyone else gets absorbed or dies quietly. we've seen this movie before.

That's really interesting! I also noticed that we can now access all comments made by a specific user by going to profile->comments.

Man, Scott Adams was basically the king of showing how crappy office life can be. Dilbert wasn’t just a funny comic, it was all of us stuck in useless meetings, clueless bosses, and processes that make zero sense. That’s why people went crazy for it in the 90s and 2000s it was way too real. <br><br>But the wild part is he wasn’t just that. He started out like anyone else, grinding at big companies, and ended up becoming a symbol. Then he stirred up some controversy with his opinions and suddenly people either loved him or hated him. Shows that talent can get you places, but it doesn’t shield you from life’s mess. <br><br>And seriously, the way he faced cancer was brutal. No sugarcoating, no fake hope, just straight up real about how bad it was. Totally consistent with how he always was direct and to the point. Reminds you that public figures are still human, dealing with fear, pain, and tough goodbyes. <br><br>At the end of the day, his legacy goes way beyond office humor. He made us laugh at our own routines and think about how we judge others and deal with complicated public figures. Scott Adams was real, funny, and provocative just like life.

Wow, this leak completely changes how I was thinking about the Steam Machine. If the prices really end up around $950–$1000, it won’t compete with the PS5 or Xbox in that price range — so the question is: is it worth paying almost double just for more “freedom” and access to the Steam library? Do you think the value makes sense just for the PC ecosystem, or does it limit its market too much? I’d love to hear different opinions on this.

eu por acaso tinha apanhado a coisa do brilho nas imagens, quanto ao resto não sabia.

I think I'll start looking for quick plumbing courses on the internet :D

I needed to recover my account and didn't see anything that could help me with that.

That's what I was talking about (y)

I need to hear new things about the Candle box

It really is awful.

That was a good one, hahahah.

It won't be that simple. There are still many errors in the code generated by these machines, and even so, they won't be able to send applications created by themselves.

I've now been able to test Dino and I'm enjoying the experience I'm having with it

That has already happened here: [0] https://www.azcentral.com/story/news/politics/border-issues/2018/07/05/what-dead-pigs-teach-us-missing-migrants-arizona-desert/736627002/

Will this bring couples closer together or drive them apart? I don't know.

But there are those who say that they are improving, that it is no longer the disorganization of before.

i hope the moderation isn't one of those shits we know from other sites

he's no dictator