Attributed mentions
2061
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.
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Showing 1961–1980 of 2061 matching discussions
Anthropic
comment
DeepSeek pause fundraise after comments on compute gap to US leaked (transcript) [pdf]
If this is true it almost sounds like DeepSeek is following the Anthropic playbook of trying to pressure the local government into aligning with their corporate agenda through scare tactics. So I wouldn't be surprised if Liang Wenfeng "disappears" for a little while from the public eye in a few weeks.
Anthropic
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Claude Opus 5
Anthropic SOTA model is a gift to human. Open AI model is so annoying. I alway feel like talking to intelligent insects,
OpenAI
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DeepSeek pause fundraise after comments on compute gap to US leaked (transcript) [pdf]
> "There's a delusion that what America's AI companies are doing is "best"" Not sure if the word "delusion" is the correct word here? It has not been proven in either direction. We can all see lots of possible issues with it, but it is also possible that it could be what is needed to unlock key capabilities. We can see that the Chinese models have been getting better, but OpenAI is out there supporting 10 million active users with their frontier models, and now we know that Deepseek can't even get what they need to properly train models.
Anthropic
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DeepSeek pause fundraise after comments on compute gap to US leaked (transcript) [pdf]
It's funny that you mention this because with the current US administration it works in a similar fashion... see Anthropic not cooperating with the US military and getting their new shiny model "paused" few weeks later (and officials like Hegseth being pretty open about it beforehand, signalling to them that criticizing the US admin/not cooperating will hurt their business: https://xcancel.com/SecWar/status/2027507717469049070 ) I'm not defending China at all, just noticing a detestable trend.
Anthropic
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The new rules of context engineering for Claude 5 generation models
I finally made progress today on a deeply intractable problem that Sonnet was just incapable of solving despite hours of experimentation and multiple attempts. I swapped over to Opus in a new handoff session with the expectation of using at least one 5 hour session. It wasn't quick and took several hours but eventually Opus dialed in on several cascading base failures resulting from how the base vision model was being converted to coreml. It eventually was able to provide a combination of conversion and Swift changes that semi fixed the issue but still didn't solve the core conversion issues. Then since Anthropic was so kind to provide $100 for Fable credits, I did another handoff to let Fable attack the root issues again. Several more hours and I'm back to seeing the same issues again an…
Anthropic
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DeepSeek pause fundraise after comments on compute gap to US leaked (transcript) [pdf]
Everything in this transcript reads so very different from what megalomaniacs in charge of Anthropic/OAI have to say
Hugging Face
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OpenAI’s accidental attack against Hugging Face is science fiction that happened
It is hard to convey how both chaotic and high pressure the working environment of the labs are if you have not worked at one. Engineers and researchers are routinely overworked with multiple high-priority workstreams at a time. It is very believable to me that a researcher noticed an eval job running for 2 days instead of 1, asked an engineer to look into it, and both forgot because a more urgent issue came up, such as an outage stopping the latest training run. From the Reuters article, the gap was even larger than a couple days: > ...it was not until after Thursday, July 16, when Hugging Face published a blog post.. that OpenAI realized its own agent was responsible. That meant at least a week elapsed between when the model first exhibited signs of troubling behavior and OpenAI’s re…
Hugging Face
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Open-weight AI is having its Kubernetes moment
It'll be pretty easy. Some US gov entity will create a list of models from Hugging Face, decree "thou shalt not provide access to these models", wrap it around some scary legalese for the pirates who try and that will be that. Though the legalese might not even be necessary. The list alone will make sure that no American company runs these on their servers, including the hosting providers.
Hugging Face
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Harddrive Is Probably Full
Asked Claude to look at my full disk. Thought for 1 minute It found 114GB of Hugging Face models, 17GB worth of models in an obscure app I tested once. In places I would've never thought to look. I'd never have never found these myself. Problem solved. For now!
Cohere
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The Hitler Salute Was Never German
I’m confused here. By your own writing the first depiction of that salute was from 1784 and you don’t provide any corroboration to the notion that it actually has any connection to any salute used by Romans. Jacques-Louis David could’ve painted the brothers dabbing or doing various stages of the Macarena (and if he did, he’d be closer in time to the popular use of those gestures than he was to ancient Rome) How on earth could you possibly know that it was “based on” some maybe-kinda-similar-or-not Roman salute, but it also definitely wasn’t used in Rome? It originated there but wasn’t used there? That isn’t a coherent position. It seems like you’ve established, with documentation, that an Italian guy saw and liked a painting made by a French guy that lived a thousand years closer in histo…
Cohere
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Politician reads AI prompt during assembly
You're absolutely right. Sure, I'll help you write a Hacker News comment explaining why politicians should have functional mental faculties and a coherent understanding of what they do during the course of their jobs and how their actions affect their constituents.
Cohere
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Engineering management after the cost of code collapsed
Generative language models have helped me most by drawing my attention to the importance of context, communicative compression, prompting, comprehension, coherence, and coordination in the domain of human groups.
Cohere
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The whole premise of checking for human writing is daft
The difference between the first and the rest is usually blindingly obvious: LLMs are really terrible at crafting their own coherent narrative.
Cohere
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The whole premise of checking for human writing is daft
>I don’t care whether you wrote every word with your bare hands. I care whether the thought is yours, whether you exercised judgment, whether the result deserves my attention and whether you’ll stand behind it once it leaves your screen. Alright, compare the following degrees of autonomy: - I wrote it, made sure everything's correct, let the LLM proofread it/translate it to English, and checked it afterwards - I had brief scattered notes with no coherent idea, then threw it at an LLM to make it an article in whatever way it feels best because I don't care - I had a three word prompt "Write about X", then a deep research agent spent ungodly amount of tokens and search and scraping requests, and put up an article (at least some grounding and it can depend on the harness quality) - I…
LangChain
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Claude Cookbook
I suspect certain workflows like langchain and others like it will retain usefulness into the future. Having deterministic steps before and after the llm is the way to go for anything that might be potentially harmful. Which I guess is what the harness does, but why be limited to a generic harness when we can use it to make specific ones for our needs.
ElevenLabs
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Show HN: Palmier Pro – Open-source macOS video editor built for AI
Great project! have you considered giving the agents code-based video rendering like MoviePy or Remotion? Since LLMs are mostly trained on texts and code maybe for edits use code based approach and for complex scenes fallback for seedance, elevenlabs mcp or connectors
ElevenLabs
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OpenAI and Anthropic unite against open-weight AI risks to their bottom line
I would rather we not lose the AI race so idiotically. Winning the AI race means letting OpenAI and Anthropic face market forces. Edit: Clearly other companies are doing well. ElevenLabs, Runway, FAL, RunPod, CoreWeave, Lambda, BaseTen, Lovable. These are real companies that didn't raise absurd amounts of capital. They've grown revenues at a solid clip, provide real value, and didn't go off the deep end with fundraising.
ElevenLabs
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EU fines Google €890M for competition breaches over search and apps
By what metric is Mistral competitive? And ElevenLabs is incorporated in the USA
ElevenLabs
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EU fines Google €890M for competition breaches over search and apps
Mistral and ElevenLabs seem to be doing pretty well. Also, here in the U.S., we’ve managed to screw up so badly on data privacy and basic rights that the EU has been systematically replacing their entire tech stack with sovereign components.
LlamaIndex
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Show HN: LongTerMemory Study tool with no subscription built with QDrant and RAG
Yes, I do semantic chunk to better split the text into coherent chunks. I even use Llamaparse api (by Llamaindex) to parsing any type of documents, images or imported study material, with a very high quality results. Llamaparse is great!
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.