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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
3684
Across all collected Hacker News results
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Showing 3581–3600 of 3684 matching discussions
Playing devils advocate, does from scratch really matter if all frontier labs are training off each other anyways? Practically speaking, businesses/consumers just care about lowest inference cost for maximizing intelligence anyways (not to mention Anthropic/OpenAI forcing KYC/litigation barrier trash for access to any cybersecurity/IT capabilities) that I literally just cancelled Claude today. Yeah it’s sad the CCP has my information. But it’s either them or the feds, and at least Chinese models actually work for cybersecurity tasks, not to mention aren’t stupid expensive Artificialanalysis.ai rn on opus 5 is a joke. The main intelligence benchmarks it is like 1% better than Fable, but the cost difference between that and K3 is so funny lol. It’s the same with cars— yo…
Playing devils advocate, does from scratch really matter if all frontier labs are training off each other anyways? Practically speaking, businesses/consumers just care about lowest inference cost for maximizing intelligence anyways (not to mention Anthropic/OpenAI forcing KYC/litigation barrier trash for access to any cybersecurity/IT capabilities) that I literally just cancelled Claude today. Yeah it’s sad the CCP has my information. But it’s either them or the feds, and at least Chinese models actually work for cybersecurity tasks, not to mention aren’t stupid expensive Artificialanalysis.ai rn on opus 5 is a joke. The main intelligence benchmarks it is like 1% better than Fable, but the cost difference between that and K3 is so funny lol. It’s the same with cars— yo…
there's a lot of propganda from these state backed enterprises. I think the fraction of the cost label is debatable given the evidence of mass gpu smuggling through third parties like Singapore which China can't exactly openly admit to. Unless of course we're talking about distilling, which is probably a lot cheaper than training a model from scratch (there's also the fact that labour is still relatively cheap in China compared to the US which may or may not matter e.g. Anthropic claim against Alibaba > The campaign allegedly used nearly 25,000 fraudulent accounts to run 28.8 million exchanges with Claude between April and June 2026 (although their campaign could have been in part or all automated via agents, not sure)
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 SOTA model is a gift to human. Open AI model is so annoying. I alway feel like talking to intelligent insects,
> "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.
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.
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…
Everything in this transcript reads so very different from what megalomaniacs in charge of Anthropic/OAI have to say
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…
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.
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!
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…
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.
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.
The difference between the first and the rest is usually blindingly obvious: LLMs are really terrible at crafting their own coherent narrative.
>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…
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.
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
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.
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