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That reminds me of Anthropic announcing they'd retire deprecated models by ... "letting" them write posts on a corporate WordPress blog for a while out of concern for their welfare in retirement. .... after running a 24/7 model torture factory for 6 months to improve their JSONBench 9.5 scores by 0.2%. (Are they still doing that, BTW?)
I actually wrote a library to do stego with LLM outputs last year and it turned out to be an almost exact implementation of the Anthropic watermark algo. Repo here https://github.com/sutt/innocuous . It works with last year's llama.cpp. Check out the "Use Cases" and "How it works" sections in the readme if you're interested.
> A German startup cannot legally do any of these tactics required to bypass Anthropic/OAI's counter-measures. A German startup cannot legally do what Anthropic/OpenAI have done. And neither could Anthropic/OAI themselves. What's your point again?
Hah. Anthropic and OpenAI used plenty of similarly illegal workarounds to obtain data to create their first models. If a Chinese company had done that first you'd be here saying > That is only possible in China because any other US/EU lab doing the same would get into massive legal trouble.
> The issue with distillation is: one lab spends $$$ on bleeding edge R&D and expensive RL runs to improve capabilities The issue is doing.. exactly what OpenAI and Anthropic have done to get where they are? No, there is no issue.
This is one explanation. However, if Xi Jinping believes that whoever reaches superintelligence first becomes the next global hegemon, doing this (and more, cough cough Taiwan) suddenly looks very sane solely as a way to kneecap the competition. The goodwill/propaganda are convenient, sure, but my guess is that they aren't the primary motivation. Another possibility is that if no takeoff happens, pressuring OpenAI/Anthropic on profitability would exacerbate any damage overinvestment has done to the US stock market/economy.
Even on the $20 or $100 subscription I would be surprised if deepseek was still cheaper than OpenAI or Anthropic because the subscription usage quota is subsidized about 10x compared to API costs. $200 sub was the “best deal” but it’s paused for new signups right now.
Anthropic has a separate meter for Fable. I used to get like five Fable sessions per week and that's it. OpenAI has no such nonsense. No separate meter. No five hour limits. I get to use Astra at max effort on literally every task if I want to, and even this somehow lasts me several days. Anthropic got caught playing stupid "20x refers to the 5h limit" word games with their customers. Meanwhile, I have statistically verified that OpenAI Pro 20x = 4 * Pro 5x = 20 * Plus, exactly as advertised. I quantified cybersecurity lockouts on my code review benchmark and they were significantly lower on OpenAI: https://www.matheusmoreira.com/articles/code-reviewing-lone-... My benchmark also suggests even OpenAI's Sol models can match Fable performance at a fraction of the cost. O…
Who is this math community? Since when did they form the consensus that this option is not at all what they care about, before or after they knew about OpenAI’s solution? What about Tristan Buckmaster and Levent Alpöge, did they also attempt to solve the same challenge? Didn’t they know it wasn’t interesting?
> What do you think would be the benefit of them stopping if others race ahead? AI is a direct threat to people on many fronts. Jobs. AI datacenters. The AI bubble (and the inevitable crash). Electricity and even energy prices to an extent. Water. OpenAI and Anthropic are responsible for this evolution, and them stopping solves close to 50% of the problem, and even if you don't believe the number is that high, it's still a start. > I believe they think slowing can only be coordinated from the frontier or via government, and stopping would lose any leverage they have to help coordinate that. Oh, so they're killing people's opportunities and jobs because they want to help people? How is that any argument? Yes, doing the moral thing means making a sacrifice. If you only want to do the …
Grok is offering a competitive product - not the absolute best but among the top three. They are doing for $2 and 6/mio. So maybe they see it as taking the economic opportunity while their model lags slightly behind. OpenAi follows. I can't say if their models are economically better or they are taking the loss but they can still pull it. SpaceXAI has an interesting path forward. They are not out.
What models are good at is so subjective it isn't OpenAI's place to really say "Use Sol for X and Luna for Y". They are publishing benchmarks so you can figure out how to best utilize each model. I get that it sucks to have to do this yourself, but eventually there will probably be some type of benchmark that help with discovering a model's strengths and weaknesses The issue that OpenAI had when they had mini and nano models is that ambiguous the differences between those and everyone just used the base model anyway. I have no idea what type of job mini can do that nano couldn't or vis-à-vis. I do wonder if it would just be better if they were named 6-small, 6, and 6-big?
They are not equal or better. Try them out on real things. I did - it's not close. The benchmarks are a misrepresentation. That being said- hard to believe OpenAI etc couldn't build a frontier classifier too.
People thought that 5 years ago, too. OpenAI has competitors to worry about, but Apple isn't one of them.
Anthropic it is game over when they passed OpenAI at the beginning of the year. Now it is revenge time and OpenAI kind of is trolling Anthropic by simply going into a price war with impressive performance. OpenAI is doing a decent job this year after they recovered. Anthropic needs to offer more payment options and be clear about token usage. The warnings I got when switching to Fable 5.1 felt like a thread. I bet more and more on OpenAI since I don’t feel robbed by them.
So, the premise is that there just happened to be hundreds of mathematicians who were close to solving these hundreds of long-standing unsolved problems with Codex all in the last few months, and OpenAI trained on all their chats to scoop them? Well, I do suppose the probability of that is non-zero... ;-)
I use Astra for rapidly consuming my token limit on a task that would not consume it on 5.6 Sol. (I have not done anything quantitative here. For one thing, OpenAI’s billing pages and the codex-rs frontend make it pathetically difficult to get any real data. Some day I should wire up a proxy to extract actual stats.)
They need to catch up to OpenAI, so it makes sense to skip a few numbers.
That's a nonsensical website. A third party was responsible for both OpenAI's and Anthropic's model escapes. The difference is that Anthropic was warning that this might happen, and OpenAI was putting their head in the sand.
Can you share more information on your methodology? GPT-5.6 Sol's performance in the API should not change over time. If it has, that's a severe bug and we'll look into it. We do sometimes tweak ChatGPT settings (e.g., tools, system prompts, efforts) over time, but we never play games to juice evals at launch times. You should always get what's advertised. (I work at OpenAI.)
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