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2835
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A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Attributed mentions
2835
Across all collected Hacker News results
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Showing 2361–2380 of 2835 matching discussions
Yeah no, most researchers and engineers do want to bring about the singularity, and they believe they can do it safely at companies like OpenAI and Anthropic.
Yeah no, most researchers and engineers do want to bring about the singularity, and they believe they can do it safely at companies like OpenAI and Anthropic.
I don’t think everyone does this at all. Maybe very small scale companies, but I would have expected a company like Huggingface to have better security standards. As soon as you’re big enough to have dedicated devops people, you shouldn’t be doing this anymore.
It’s kind of a bit ridiculous for Opus to blow up the minute I ask it to read from Ghidra, when the Chinese models, and even OpenAI, do not. Leave the legality up to me, please, and don’t presume to be a power tool vendor regulating the use of their power drills, so to speak.
Anthropic is profitable, running at ~$75B ARR, and has 80+% gross margin on their API products. OpenAI is not yet profitable, but is running at ~40B ARR and their revenue is growing rapidly at >200% YoY.
Anthropic is profitable, running at ~$75B ARR, and has 80+% gross margin on their API products. OpenAI is not yet profitable, but is running at ~40B ARR and their revenue is growing rapidly at >200% YoY.
Anthropic's Q2 was allegedly profitable, and OpenAI is allegedly pretty close to profitability. Spending way more money than you earn is pretty common for startups anyways, "going bankrupt" is a silly thing to say when the whole point is to spend more than you earn
Anthropic's Q2 was allegedly profitable, and OpenAI is allegedly pretty close to profitability. Spending way more money than you earn is pretty common for startups anyways, "going bankrupt" is a silly thing to say when the whole point is to spend more than you earn
I use DeepInfra. Their whole catalogue is openai compat. US based.
If your startup goes successful. Anthropic will copy your model and make it there’s. They are distilling each and every knowledge
2 sparks currently run this model at 60 t/s single session, up to just over 100 t/s aggregate with concurrency of 4. Going local has as opened up a world of use-cases I never would have entertained the idea of on metered/cloud usage. Privacy is a large part of it but, I also no longer think twice about whether to send a prompt or not based on the psychology of it costing money. Cached input tokens on local inference are free , so I don’t care about running sessions up to 500k tokens and hundreds of turns (it’s rarely useful, but DSv4 remains surprisingly coherent up there)
Distillation. It isn’t just Chinese models doing that to OpenAI and Anthropic.
Distillation. It isn’t just Chinese models doing that to OpenAI and Anthropic.
>Windows has a coherent story when it comes to permissions and access. Yet that doesn't seem to matter much for stealer malware.
I think this is simply a case of Tailscale saying, we've got no idea what these guys (OpenAI) are talking about. All these incidents are scarce on technical details . Honestly, IMHO, OpenAI and Anthropic are now actively pushing for AI regulation, as a defence mechanism. These are false flag operations.
I think this is simply a case of Tailscale saying, we've got no idea what these guys (OpenAI) are talking about. All these incidents are scarce on technical details . Honestly, IMHO, OpenAI and Anthropic are now actively pushing for AI regulation, as a defence mechanism. These are false flag operations.
Not really, in this context the word "distillation" is really being abused, or at least used in a different sense than when it was originally introduced in the Hinton et al "Distilling the Knowledge in a Neural Network" paper, where it was essentially referring to knowledge compression. The way Anthropic are using "distillation" is just in a very broad vague sense to claim that some data generated by their model was used to help train another one. They are not talking about something like internal logits, expensive to derive, that would be useful to train a smaller model, but rather about any output from their model, even outputs with redacted reasoning (i.e. incomplete outputs that do NOT reflect the underlying knowledge of the source model). Given the way Anthropic are using the word, I…
This actually shows that it was a human error on HuggingFace's end that led to that "breach". I would say HuggingFace needs to prioritize both security metrics/alerts and metrics/alerts for node count. And not leave long-lived keys accessible easily like this. It would have been way more groundbreaking if the agent found an actual vulnerability in Tailscale.
I got laid off from an internet TV company. I could probably replicate their backend systems, and in fact, I did (for one test channel). I definitely couldn't get content licenses to 400+ real channels. Or any paying customers outside my immediate family. Or make a UI.
What makes me most sad is there are people at Anthropic, Dario included, who want to do good. But thanks to financialization their incentives get in the way.
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