Lots of people are advocating for more American open-source models these days which is amazing but very few people do anything about it!
Latest example, Alex Karp came out advocating for American open-source models as a necessity! At the same time, @PalantirTech is a free org on HF with 0 open-source models and 0 public datasets shared.
Time to switch from talking to contributing for all!
FABLE 5 CAME BACK NERFED.
We re-ran the July 1st version of Claude Fable 5 on BridgeBench.
The results are brutal:
Debugging: 86.2 → 25.9
Refactoring: 73.6 → 38.4
Hallucination: 75.9 → 61.7
The new guardrails are kicking in on way too many tasks and falling back to Opus 4.8.
This is not the model that got banned.
Anthropic owes everyone an explanation.
Legacy Media types are calling this Alex Karp interview a “crash-out” so that’s your first clue that he is actually saying something extremely insightful. He is articulating what real “AI safety” looks like in the enterprise.
Not abstract alignment research or certification by a government-run DMV for AI. Real AI safety for businesses is the ability to control their own data, model weights, and compute — so a frontier lab can’t hoover up their proprietary knowledge and turn it into their next product.
As Karp explains, technical customers want “control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it’s not being transferred to someone else.”
Don’t think that can happen? Just look at Figma. According to The Information, Anthropic “blindsided” its then-business partner with the launch of Claude Design. Figma’s founder said Anthropic had not been “consistently honest” with them. Anthropic’s chief product officer had even served on Figma’s board until three days before the launch of Claude Design. Figma’s stock has fallen sharply this year while Anthropic’s valuation has surged.
This isn’t an isolated example. Anthropic has launched Claude Science, Claude Security, Claude Legal, and of course Claude Code — each expanding into categories previously served by companies building on top of their models. The pattern is consistent: watch where value is being created, then move in directly. Dominate the model layer, then use that position to capture the most lucrative verticals.
Dario has argued that open source models powerful enough to compete with Anthropic are “dangerous.” But dangerous to whom? Not to enterprises that want to retain control over their data and workflows. Dangerous to a business model that benefits from customers having few real alternatives at the model layer.
As Karp exposes, true enterprise safety isn’t trusting that a lab’s future roadmap won’t include your business. It’s retaining the ability to choose — at the model layer — who gets to see and use your alpha.
Fable 5 is back and it’s as useless as before! Hey @AnthropicAI, is this how you support science and presumably relate to and care for humanity?
Whatever, I’ve had enough of these nonesense safeguards. I won’t waste any more time with this misanthropic fable!
@koltregaskes It s not about “implying “, it is interpreting that one sentence coming from a company that preached transparency but is not applying to itself
@kevinwhinnery Will it notify the user of the change or will it be hidden like it was before for some matters ? So interesting to see @AnthropicAI be the one lab with the most dodgy practices, all the while preach in g from their “moral high ground “
Anthropic's latest models available worldwide. In other words, Chinese open source models posed a serious enough threat to market share.
In a different context, an Indian customer of some of our products told me recently "A big Microsoft Office license renewal came up and they hiked the price drastically. We told them we are looking at the Zoho office suite and they dropped the price by 90%" - he thanked me for saving them big money, even without buying our office suite. If you are facing renewal of Microsoft Office license, I suggest you mention Zoho.
Some history: Microsoft is a convicted monoplist by a US Federal Court (April 2000) and the monopoly finding but not the suggested remedy was upheld by the U.S Court of Appeals (DC circuit) in 2001. Microsoft has a long illustrious history of milking the customer dry (see the AI link below for details).
Competition is always important. The fact that American AI models have serious competition from China is important for India and other countries.
Finally, I am now confident that India will catch up in AI models. There is no reason to be despondent. There are multiple efforts going on in academia and industry and the cost to train AI models is starting to fall. Recently I met people from the BharatGen team (IIT Bombay) and they are making great progress. I will write more about BharatGen soon.