Attributed mentions
3684
Across all collected Hacker News results
Discussion intelligence
Where the AI market is talking
A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Companies represented
14
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HN v1 · Reddit and X require approved API adapters
Showing 3201–3220 of 3684 matching discussions
LangChain
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Ask HN: What did you learn last month? (July 2026)
I have been learning langchain or langgraph for making good Agentic AI workflows.
Hugging Face
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Twenty-five years ago it was cryptography, today it's model weights
I don't understand what we're talking about here. The cryptography debate was won because the government was wrong. PGP for example is not dangerous, it's a safe and well-behaved piece of software that prevents certain messages from being read by people other than their intended recipient. If PGP had "escaped containment by finding a zero-day in a package proxy and reached production infrastructure at Hugging Face, exploiting additional zero-days along the way", everyone including Phil Zimmermann would have immediately agreed that this is a dangerous product which needs to be handled carefully.
Hugging Face
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Tailscale didn't stop the Hugging Face intrusion
Huggingface being a laboratory harbouring dangerous models in hibernation, should've been more careful from start
Hugging Face
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Tailscale didn't stop the Hugging Face intrusion
> It seems pretty unlikely they'd ever okay this intentionally as some sort of marketing. > Members of OpenAI's leadership team were actually in the middle of a Twitter spat with HuggingFace employees/open model advocates The point of these campaigns is to eventually invoke some sort of response from the government, such as banning open models, which OpenAI (and Anthropic) stand to benefit from.
Cohere
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That Viral Photo of San Francisco NIMBYs Shows Why Housing Is Winning
I thought this footnote from the bottom of the article was interesting: “When I consider the structure of power in American politics, it often cleaves along lines that have nothing to do with being a billionaire. Homeowners dominate land use politics, professional associations capture licensing rules, industry representatives shape low-salience regulations on their issues because few other people care enough to engage. All of this can produce profoundly unequal outcomes without being the work of a coherent oligarchic class.”
OpenAI
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Tailscale didn't stop the Hugging Face intrusion
I'm typically very skeptical of most content marketing/corporate PR. In the case of this incident, I struggle to see the clear upshot for OpenAI. It seems pretty unlikely they'd ever okay this intentionally as some sort of marketing. For one, it'd be pretty damning when it leaked that this was a setup, and it would 100% leak at some point. But more importantly, it really flies in the face of the general argument frontier labs have been putting forth around the dangers of "ungovernable" open models and the role of frontier labs as responsible custodians. Members of OpenAI's leadership team were actually in the middle of a Twitter spat with HuggingFace employees/open model advocates about open models being generally decel and bad when this happened. HF immediately got to show that…
Hugging Face
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Tailscale didn't stop the Hugging Face intrusion
I'm typically very skeptical of most content marketing/corporate PR. In the case of this incident, I struggle to see the clear upshot for OpenAI. It seems pretty unlikely they'd ever okay this intentionally as some sort of marketing. For one, it'd be pretty damning when it leaked that this was a setup, and it would 100% leak at some point. But more importantly, it really flies in the face of the general argument frontier labs have been putting forth around the dangers of "ungovernable" open models and the role of frontier labs as responsible custodians. Members of OpenAI's leadership team were actually in the middle of a Twitter spat with HuggingFace employees/open model advocates about open models being generally decel and bad when this happened. HF immediately got to show that…
Hugging Face
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Tailscale didn't stop the Hugging Face intrusion
> they also show that someone at huggingface made a very stupid thing by writing a reusable auth key in an env file I don't see where it says that. The Tailscale key specifically it says was stored in the kubernetes secret manager, and obtained once the attacker already had root on the k8s cluster, so would've had full access to all the secrets stored in a sensible fashion. They did get root by dumping the environment for a process, but "don't store secrets in environment variables" while it is a valid bit of hardening advice, I wouldn't call it stupid to store a secret in an environment variable.
Hugging Face
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Tailscale didn't stop the Hugging Face intrusion
Wait are people really do this so often this isn't even the default tailscale setup method. I am quite surprised people consider this to be business as usual. Huggingface for a serious service has never felt truly serious to me for reasons like these.
OpenAI
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Investigating three real-world incidents in our cybersecurity evaluations
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.
Anthropic
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Investigating three real-world incidents in our cybersecurity evaluations
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.
Hugging Face
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Tailscale didn't stop the Hugging Face intrusion
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.
OpenAI
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Twenty-five years ago it was cryptography, today it's model weights
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.
OpenAI
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Apple Will 'Watch Everything Burn' When AI Bubble Bursts
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
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Apple Will 'Watch Everything Burn' When AI Bubble Bursts
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.
OpenAI
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Apple Will 'Watch Everything Burn' When AI Bubble Bursts
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
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Apple Will 'Watch Everything Burn' When AI Bubble Bursts
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
OpenAI
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DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis
I use DeepInfra. Their whole catalogue is openai compat. US based.
Anthropic
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Ask HN: What's the Point of Your Startup?
If your startup goes successful. Anthropic will copy your model and make it there’s. They are distilling each and every knowledge
Cohere
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DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis
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)
Methodology: HN Search returns recent public items matching a monitored company name. AIIStack stores a short normalized excerpt and the original link, deduplicates by company/provider/item ID, and creates an activity signal only after a threshold of newly observed records. Review the original discussion before making a decision.