Where the AI market is talking

Ask HN: Why is AI civil tech and not military first?

Most tech starts civilian, the military ones are rare exceptions. As for your specific examples >Robots/Drones Autonomous robots aren't good enough yet for military, those which are used are teleoperated and thus not in the realm of AGI companies >Surveillance Not really a military matter, and of course we have Palantir which is doing this directly. Perhaps OpenAI/Anthropic have contracts with respect to government surveillance we don't know about

Gemini-3.5-Transcribe

Still more expensive and worse performing than ElevenLabs Scribe, unfortunately. Not sure who's the target audience for this.

Silicon Valley is in denial in face of widespread backlash

That die has already been cast. It's stop everything versus "accelerationism" full speed ahead. Both sides will point to how their full world view is coherent and would have sensible results, and will blame the other side for the problems from their own agenda not being allowed to go far enough. The former will succeed at when pushing regulations that merely constitute speed bumps for the big players but hamstring individuals and small businesses, and the latter will succeed at pushing for little government restrictions on the regulated sandboxes of the big players. Regulatory capture complete. I had a terrifying thought while mowing the lawn today that we don't even have an inkling of a feel for how imaginary property laws are going to destroy the usefulness of hosted LLMs for individual…

Previewing the Model Hardware Standard

The standard makes sense: models work much better when devices expose standardized, machine-readable interfaces. But as far as I can tell, this technical "standard" isn't actually public yet (you have to apply for access to even see or implement it.) Anthropic says they plan to open source it later. Quite a departure from the way foundational hardware standards like USB and CAN were developed. You shouldn't need permission to read a standard.

Show HN: The load-bearing vocabulary of Claude

My unprovable pet theory is that, especially for writing about technical topics, the RL process has an open-ended way to weight things for quality: textbooks and first-party docs preferred to old stackoverflow answers and obscure blog/forum posts, and so on. The open-endedness of that quality gradient results in something in the RL process (maybe HF, maybe not) massively over-weighting some very small corpus of “quality = near infinite” content. The distribution of quality scores that inform the degree to which RL affects output has some extremely influential outliers, in other words. Whatever that small corpus is, it contains some very specific grammatical tics, and that’s how we get Claudish. Anyone who thinks a company/project as big as Anthropic/Claude wouldn’t make suc…

Gemini Omni 1.1 Flash

I'm the CTO of a GCP shop with an 8 figure annual commit. If you'd told me at the end of Cloud Next 2025 that by now Google still wouldn't have a competitive offering to agentic coding offerings from Anthropic (Claude Code + Fable) or OpenAI (Codex + Sol), I wouldn't have believed you. In our non-coding use cases where we're embedding models in our product, we're also not reaching for GCP stuff. Because Anthropic has the mindshare of our engineers and product folks, since it's what they use every day.

U.S. State Department pauses immigrant visa applications

It sounds like you haven't actually thought much about these issues, and you're quoting Lincoln, and fearmongering about "suffering and genocide", as a sort of thought-terminating cliche. If you want to argue against the administration policies, I suggest you articulate a coherent and attractive philosophy of immigration instead of mudslinging. I'm not arguing with Lincoln--I'm arguing with you. "yours are the ideas lead to suffering and genocide and nobody whose words are worth reading wants that" Why aren't you saying this about the much harsher Swiss policy which was proposed? I just don't think a country closing its borders is equivalent to "suffering and genocide". It's not the policy I favor for the US. I think you and I might even agree in terms of our preferred policies! But I sti…

Gemini Omni 1.1 Flash

Google owns 15% of Anthropic, Claude trains and runs on TPUs, and Google cloud is backlogged with demand from both OAI and Anthropic. Google is selling shovels, leasing mines, buy stakes in "competitors" and doing it's own exploration/mining. When you look at the full picture, it kinda doesn't even look like Gemini matters that much to them overall.

Previewing the Model Hardware Standard

It's a bit of both for Anthropic I think, sometimes cutting edge and quite interesting or just good improvements, sometimes ignoring best practices either recently established or known for decades. Obvious to see where the smart people are in high places at the company.

Previewing the Model Hardware Standard

There are MANY packages in this space: Labs love to invent their own versions powered by the hubris of grad students. Anyway a random sampling of some I’ve come across is: - EPICS - TANGO - Bluesky (not that one) - QCodes - Sardana - yaq The general problem is (1) i have a heterogeneous mix of hardware that speaks a bunch of different protocols from SCPI serial commands to VISA over USB, to bizarre proprietary things and (2) I want to be able to talk to it from one central computer and (3) ideally have some level of standardisation or abstraction so I can express an experiment like move <stage> from <x> to <y> in <n> steps and at each step fire <laser> and measure <signal> while logging <temperature>. Anthropic seem to be creating the n+1 version …

VMs won't contain cyber-capable agents

This highlights a problem with the Anthropic-Mythos-restriction style "we regulate the best models so attackers don't have them": It also ensures that only the big-guy partners of the program (Glasswing in their case) have the capability to secure themselves at the frontier model level.

The Teaser Period: Why the AI Boom Is Hitting a Reset Wall

TLDR: what determines if we'll have an AI crash is whether the Anthropic and OpenAI IPOs provide enough money to cover compute for these companies. Without IPOs, these companies cannot survive 2026 and this will have drastic consequences for the hyperscalers, datacenter companies, energy companies, ... ie. the "AI crash". Anthropic: $100B, OpenAI: $150B (that's not market cap, that's what they have to raise with the shares they issue in their IPO). If they make this money, the AI crash is delayed, at least to 2029. To give a point of comparison: SpaceX got about 85B in cash to spend from its IPO. (This is assuming the datacenters ordered actually get built between now and 2030 or so. If not crash is guaranteed)

Previewing the Model Hardware Standard

So far Anthropic shows remarkable taste in research, engineering, and product. Dario the ideologist attracts the most pure-minded talent in the industry. It indeed looks like Anthropic would be unchallenged for the foreseeable future. It'll be very interesting to see its downfall in 5-20 years.

Anthropic Announces Model Hardware Standard, MCP for Hardware?

Gemini Omni 1.1 Flash

YouTube. And video ads. Previously when making video ads you'd need to actually create the video. Actors, cameramen, editors - you name it. Now a new video ads is just a prompt away, directly inside the ad-spend web UI too no doubt. People say Google have lost and that they're having their lunch eaten by anthropic, but I am not so sure...

Nvidia projects $673B in sales as AI demand widens

The 1 and 2 you listed can be summarized as client buys Nvidia GPUs with equity instead of cash. Clients like Anthropic or OpenAI are not exactly flush with cash right now, so such sn arrangement makes sense. Plus, it reduces Nvidia’s incentive to invest in training a frontier-level Nemotron model.

Nvidia agrees to acquire Hugging Face for $13B

Why I don’t think it’s sustainable to run a compute-intensive business on low monthly plans? If they’re like OpenAI and Anthropic, monthly plan users can spend many times the amount of money in a month than they pay, and unlike regular lower-compute SaaS businesses, overhead increases significantly with usage. That means the more users many of these services get, the more money they lose. Some surmise OpenAI was hiding the actual cost in marketing expenses to make their business look less unprofitable. Anthropic was smart enough to focus on customers most likely to be willing to pay for API pricing, so they’re in a better position. If hugging face is primarily focused on selling monthly accounts rather than token based billing which bills more as the company’s expenses increase, its not l…

Small Models Have Arrived

Code, creative writing, email summaries, automated email replies, and I prefill my invoice notes and daily updates for work. Actually built a full invoicing product for that, using it too. I use Mistral 7b and LlamaIndexTS on Node, I run it on a MacBook M3 and on a Linux server with only 8GB VRAM (old gaming PC). Basically flawless, runs very fast and I don’t even know what paying for “tokens” is :)

The Teaser Period: Why the AI Boom Is Hitting a Reset Wall

The article claims that the finances fall apart because OpenAI won't hit the growth it wants. It's an interesting thing to say when using their product to write 100% of the article.

The Teaser Period: Why the AI Boom Is Hitting a Reset Wall

GPUs depreciate at a far, far faster rate than houses do. And then they need to be replaced. Who's paying for that? OpenAI and Anthropic don't even have positive free cash flow.