Where the AI market is talking

Qwen3.8 27B scores 52 on Artificial Analysis

Sounds obvious but just try using the models for anything outside the evals. Take something arcane from Greek history, use it to create a masked linguistic puzzle, which you then ask the model to solve mathematically, all wrapped as an ask to generate ASCII art. Yes, all these elements exist in some form in the evals but the key is in how utterly unconventional the elements are that you pick and in how you combine them. I have consistently noticed Opus 4.8 and GPT-5.6 far outshine the Chinese models. Gemini is sort of middle of the road, Grok is better than Gemini but not really close to Opus/GPT. OAI & Anthropic still remain unbeaten by a wide margin in my eyes.

Anthropic's War on open source AI

I've read most of this. I find it be incredibly self-contradictory. I don't even think this aligns much with the actions of the company. > Second, there is a good chance free information really does undermine authoritarianism, as long as the authoritarians can’t censor it [...] A superhumanly effective AI version of Popović (whose skills seem like they have high returns to intelligence) in everyone’s pocket, one that dictators are powerless to block or censor, could create a wind at the backs of dissidents and reformers across the world. But hey - gotta turn Fable off and stop it from doing any security work! Dictators shouldn't be able to censor it, but we sure can, so better hope we're not the dictators. Again, the I think the problem most folks have with Anthropic's attitude is that…

Why does everyone hate data centers?

The CPP is funding the anti-AI data center movement. See https://thehill.com/policy/technology/5920573-openai-chinese...

Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing

Based on the SynthID-Text paper https://www.nature.com/articles/s41586-024-08025-4 I agree that the LLM's learned distribution isn't modified, but I don't think it's correct to say that the sampling process is not modified. Also I just read the paper today so I could be misinterpreting things. As described in the paper, you're right that it doesn't affect the main sampling technique, but what they do is they sample the distribution for 2^m samples, and then use Tournament sampling to choose the tokens among those 2^m samples, and the watermark key changes the scoring of the tournament options, using the watermark key as an input to the random generator that generates the scoring functions. Then, to calculate the watermark, they take the text, and compute the mean g-val…

Amazon, which started off selling books, is destroying rare texts to train AI

TechCrunch is trying too hard to make a connection in the title there. Amazon was trying to make money then as it is now. Their selling of books at the beginning was no more principled than the destruction of books now. This is the legal loophole that allows them to do what they need to do, and the benefit of doing it outweighs the modicum of outrage this title will generate. Edit. Because I see my statement confused all the HN experts: Anthropic's version of this was Project Panama [1]. Quoting from the page: > Judge William Alsup ruled that the destruction and digitization of legally purchased books constituted fair use [1] https://en.wikipedia.org/wiki/Project_Panama

Memory prices climb 500% in 12 months, up to 10x the lowest ever tracked prices

Are you willing to short anthropic and openai on your beliefs? Would love to be on the other side of this trade.

Memory prices climb 500% in 12 months, up to 10x the lowest ever tracked prices

Are you willing to short anthropic and openai on your beliefs? Would love to be on the other side of this trade.

OpenAI President Greg Brockman: "You Need to Believe"

I "believe" Brockman would have us all live in poverty if it meant he could line his pockets with one more dollar. Remember, this is from the company who puts on the "UBI for all" mask to dodge critique. https://www.sfgate.com/tech/article/brockman-openai-top-trum...

Qwen3.8 27B scores 52 on Artificial Analysis

The biggest untapped market is pure agentic models that are built for tool calling and non hallucination instead of memorizing facts. You need some world knowledge (as in common sense) to build a useful model, but I don't think perfect recall on general QA is a good use of space when you have web search and structured knowledge in Wikidata or Wolfram Alpha. Training should focus on tasks that require real intelligence instead of memory. Creative writing is actually good for this if you score it on coherence instead of getting random real life details right. Basic level of coding (simple prompt to code, don't need to one shot complex projects) is also great because writing a small script is more efficient than 20 separate tool calls.

Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing

> “By definition it must make text worse … because the nature of the watermarking algorithm requires it to sometimes increase the probability of selecting a worse word choice and decrease the probability of selecting the model’s best choice.” Gruber made an effort to but doesn't fully understand how SynthID works. LLMs select the next word randomly from a set probability distribution, so there is no "best choice" unless you run the LLM with a temperature of 0 which would give out terrible results. Anthropic runs a non-distorting version of SynthID that doesn't change the probabilities of the underlying distribution of tokens. It makes the watermark less likely to work over smaller samples but preserves text quality. I encourage the mathematically inclined to read the paper: https:&#x2F…

OpenAI President Greg Brockman: "You Need to Believe"

Qwen3.8 27B scores 52 on Artificial Analysis

i think there definitely is some truth to this in terms of embeddings spaces, which is why i believe they are implemented by OpenAI/Anthropic in roughly highest import => least import bit order-- an overwhelming majority of the variance is in the first few hundred vector bits. i haven't actually tested this myself by manually truncating vectors, but it is my understanding that they generally speaking have this property.

Qwen3.8 27B scores 52 on Artificial Analysis

i think there definitely is some truth to this in terms of embeddings spaces, which is why i believe they are implemented by OpenAI/Anthropic in roughly highest import => least import bit order-- an overwhelming majority of the variance is in the first few hundred vector bits. i haven't actually tested this myself by manually truncating vectors, but it is my understanding that they generally speaking have this property.

Launch HN: Speko (YC S26) – OpenRouter for Voice AI

Gemini 3 flash series is quite good, also elevenlabs scribe v2

Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing

While Anthropic is sharing this publicly, there’s isn’t much reason that other models could quietly be doing this or start. Local models could probably catch some patterns.

On AI regulation and messaging

D.A. >> Anthropic is ramping up its efforts very quickly in biology and medicine At the same time, the best Anthro models refuse to answer biology questions, keeping the public in the dark not only about new AI-assisted results but also about conventional and health-protective research. D.A. >> we hope to have incredible results in the coming years and some early glimmers in the coming months. So, what changed? He went from a promise of AI bonanza any minute now to a promise to maybe cure cancer in the coming years , that's right, an unspecified number of years . Until that time, we're supposed to eat glimmers of hope because the AI-caused inflation will make food unaffordable. D.A. >> When we’ve actually accomplished something real, the whole world will hear about it, a…

Anthropic's ‘watermark’ text adulteration in Claude is a perversion of writing

I agree with you as long as things are at a small scale. But at a large scale, these things reshape society and what it means to be human. Social networks started out[1] as almost wholly good. The negative effects came from scale. Same with advertisement-funded websites and tons of other things that started out as being overall positive for the commons and ended up being highly negative. You can't just stick your fingers in your ears and ignore what is happening in reality. > Anthropic is crowing about this achievement because they are afraid of the dirt cheap AI models coming out of China and eventually other places impacting their valuation. Full stop. It's the "full stop" that I'm disagreeing with. Yes, you can make valid arguments about the motivations behind this, or the effective…

Memory prices climb 500% in 12 months, up to 10x the lowest ever tracked prices

There also seems to have been a major shift in strategy from AMD / Intel / Apple / NVidia due to this, as I was used to CPU / GPU / chipset upgrades coming out more regularly with double-digit percentage improvements each year, but that seems to be basically over for the consumer space now that everyone is just trying to build as much AI hardware as fast as possible for enterprise markets. I also used to rebuild my desktop every 1-2 years and upgrade laptops every 2-3 years, but I'm currently a bit past that and have no plans to refresh anything in the near future. I'll probably wait another CPU and GPU generation or two to even consider it, especially with prices being this ridiculous. I'm fully anticipating AI hardware demand to dry up once Anthropic and OpenAI …

Memory prices climb 500% in 12 months, up to 10x the lowest ever tracked prices

There also seems to have been a major shift in strategy from AMD / Intel / Apple / NVidia due to this, as I was used to CPU / GPU / chipset upgrades coming out more regularly with double-digit percentage improvements each year, but that seems to be basically over for the consumer space now that everyone is just trying to build as much AI hardware as fast as possible for enterprise markets. I also used to rebuild my desktop every 1-2 years and upgrade laptops every 2-3 years, but I'm currently a bit past that and have no plans to refresh anything in the near future. I'll probably wait another CPU and GPU generation or two to even consider it, especially with prices being this ridiculous. I'm fully anticipating AI hardware demand to dry up once Anthropic and OpenAI …

On AI regulation and messaging

If Anthropic is the first to develop AGI, then everyone else becomes subordinate to Dario Amodei? And if DeepSeek is the first to get there, everyone instead becomes subordinate to Liang Wenfeng? I cannot believe that there is a threshold of intelligence where getting there first means a decisive and durable advantage. If you do believe that getting there first means ruling the world, then our viewpoints are probably too far apart for mutual understanding.