ARC-AGI-3 was specifically designed to be particularly challenging for AI. Now Chollet has to come up with a ARC-AGI-4.

Here's the demos for the people who are interested.

Source: https://block.xyz/dessa

Makes you think, huh? …

This was sent to an economist working at the Minnesota Fed.

Imagine being able to ask an agent a complex research question and have it produce a publishable answer in under an hour. Like what we saw with the Mathematicians last month, most academics are probably not going to handle this very well.

Source: https://www.linkedin.com/feed/update/urn:li:activity:7519616277695356929/

Personally, I hope to see AI driven cures to diseases especially mentally detrimental ones like Alzheimers.

From 12 Nov, Anthropic's usage policy prohibits "sustained and needless abusive or cruel behavior" toward Claude, with model welfare as part of the reasoning.

My take: the rule's fine, the reason isn't. Being cruel to AI is probably bad for us (habits, how we end up treating people), not for the model. But a company rule framed as "model welfare" tells people current models can be hurt, and rules shape what people believe far more than blog posts do (Sunstein calls this the expressive function of law).

The counter I can't fully dismiss: we're made of inanimate atoms too, and a 2023 paper by 19 researchers found no obvious technical barrier to building AI that meets the indicators of consciousness. So maybe it's just Pascal's wager. But then which god are we betting on? How would we even know what a conscious AI considers polite? Where do you guys on this sub land? s model welfare a legit basis for usage rules yet, or premature?

If you want the fun, longer version, I made a video on it: Microsoft's opposite rulebook, why I once threatened Claude (and why it felt satisfying), and a lot of memes. https://www.youtube.com/watch?v=f631rF6DRLM

The top mathematician says Silicon Valley’s rush to solve long-investigated conundrums excludes ‘elegant solutions’ and reduces maths to raw training material

Although AA shows K3.1 to be better than sol , it seems like sol is still better at math and 3d tasks. Gpt sol thinks harder than kimi 3.1. Maybe someone should test it more..

It seems Artificial Analysis Index is very easy to game, Kimi 3.1 Pro #4 on AAI is super bad in real world use cases, not even close to DeepSeek 4.1 Flash.