Where the AI market is talking

Ask HN: What's the best hands-on path to learn ML inference infrastructure?

Since Anthropic trains on Sagemaker on AWS, what about some Cloud Certifications?

DeepSeek pause fundraise after comments on compute gap to US leaked (transcript) [pdf]

And that's why OpenAI bought all the future ram contracts

I learned PCB design, 3D printing and C just to listen to music

I have serious beef with ChatGPT's text-based circuit schematic drawing abilities. Even though the model itself appears to be fully coherent about the big and little picture aspects of whatever's "on bench" I have wasted too much time trying to parse its attempts to draw circuits. I consider them actively harmful in their current form. I quietly hope that one of the LLMs will start actually generating netcode that can be pasted into KiCAD, or even rendering circuit snippets inside of the chat stream properly. I've seen KiCAD running in the browser, so it's not like this isn't completely doable. It's just a question of resource allocation.

Kimi K3 is not cheap

It feels like this "Kimi is a token hog" meme is 100% astroturfed by Anthropic. It's cheap. Believe your own eyes.

OpenAI: A Bubble Bigger Than Dotcom

The new rules of context engineering for Claude 5 generation models

Yes, it IS confident of its weights & biases... but, if you keep at it, Claude WILL find the smoking gun, eventually. Even a broken watch is correct twice a day ( unless it's a digital watch, without a battery, in which case, it's just broken... ) But seriously -- newer Claude (and OpenAI and Google and ???) models DO find the smoking gun, if you let them keep going until they reveal the weird chain of events that leads to a bug. I was seeing the most obscure UART driver bug, where it would work at 1,500,000 baud (!) but fail by only outputting the 1st char at 230.4k and 460.8k -- and it was due to a very narrow race that would check the buffer, if not full, insert a character, and return BUT sometimes the TX Complete interrupt would happen between the check and the insert, and something …

The new rules of context engineering for Claude 5 generation models

Yes, it IS confident of its weights & biases... but, if you keep at it, Claude WILL find the smoking gun, eventually. Even a broken watch is correct twice a day ( unless it's a digital watch, without a battery, in which case, it's just broken... ) But seriously -- newer Claude (and OpenAI and Google and ???) models DO find the smoking gun, if you let them keep going until they reveal the weird chain of events that leads to a bug. I was seeing the most obscure UART driver bug, where it would work at 1,500,000 baud (!) but fail by only outputting the 1st char at 230.4k and 460.8k -- and it was due to a very narrow race that would check the buffer, if not full, insert a character, and return BUT sometimes the TX Complete interrupt would happen between the check and the insert, and something …

What is happening to jobs? Separating AI hype from reality

Wonder if that means if I knock out an app using a Claude Code sub in an afternoon, that would've taken me a week previously, and the result is better than what I could've done, does that mean that gross productivity went down? - I didn't make money, since I got paid for my time - Anthropic didn't make money, since the amount I paid them for AI is tiny This sounds wrong to me.

The relay market powering token resellers and fraud

These aren't stolen credit cards. This hack works by maxing out subscription limits of the Anthropic/OpenAI plans, so you never pay additional API fees. It's fraud but not theft.

The relay market powering token resellers and fraud

These aren't stolen credit cards. This hack works by maxing out subscription limits of the Anthropic/OpenAI plans, so you never pay additional API fees. It's fraud but not theft.

Writers set to share millions after $1.5B Anthropic settlement

Claude Opus 5

The only metric that matters is f(cost, time, task). If Anthropic has a SOTA model, it can easily distill every model in the pareto frontier and have the SOTA model route appropriately. They haven't felt the 'sting' yet to optimize that (still growing their ARR at a crazy growth rate) Ant can top any benchmark that measures f(cost, time, task). The only entities that can beat them in costs are infrastructure providers who can do optimization at that layer. But a pure Model company can *never* compete with Anthropic on f(cost, time, task) if they continue to have SOTA models

Claude Opus 5

and Anthropic can top that benchmark if that's what the users are optimizing for...which is my original point

Elevated Errors for Opus 5

I don't understand this take. Ultimately, people pay for how much they're able to accomplish with the model, not raw token count. If Anthropic thought people could accomplish the same amount with fewer tokens, they'd adapt the harness to do that and then raise the cost of tokens to make more profit (or lose less).

The relay market powering token resellers and fraud

It's not _theft_ because nothing is _stolen_. The tokens are being used in a way that breaches the contract agreed to by whomever set up the account with OpenAI, Anthropic, Kilo, Antigravity etc. but it's not theft.

Terence Tao: Mathematics in the Age of AI [pdf]

The man just cannot stop. First, a lengthy introduction with caveats which can be used to hedge later. Then he goes all in on AI again. He is sponsored by the AI for Math Fund (Renaissance Technologies) and I'd really like a yes/no disclosure about OpenAI stock options. People give him the benefit of the doubt because he always has been unable to stay off the Internet for more than a day. But this is really unprecedented.

Hugging Face CEO calls for 'radical transparency' after 'unprecedented' OpenAI

Hugging Face CEO calls for 'radical transparency' after 'unprecedented' OpenAI

Karen Hao: AI Doesn't Have to Be Built This Way

The problem with Empire of AI is that it takes such a scattergun approach and doesn't really build a coherent thesis. It is also very difficult to draw clear directional information from the book. I can strongly agree that OpenAI should not have put Kenyan workers in the position in which they were. I can also agree that they should take steps to ensure that it does not happen again. Hao's frequent retelling of the story in interviews tells me nothing about what is being done to address this concern. The criticisms of potable municipal water usage by datacentres in the book are hard to fault, but they have little to do with what most people think of as generative AI. Again, it does little to aid understanding of the resource usage of contemporary datacentres and the politics of their siti…

Karen Hao: AI Doesn't Have to Be Built This Way

The problem with Empire of AI is that it takes such a scattergun approach and doesn't really build a coherent thesis. It is also very difficult to draw clear directional information from the book. I can strongly agree that OpenAI should not have put Kenyan workers in the position in which they were. I can also agree that they should take steps to ensure that it does not happen again. Hao's frequent retelling of the story in interviews tells me nothing about what is being done to address this concern. The criticisms of potable municipal water usage by datacentres in the book are hard to fault, but they have little to do with what most people think of as generative AI. Again, it does little to aid understanding of the resource usage of contemporary datacentres and the politics of their siti…