Reddit

submitted by /u/Automatic_Subject463 [link] [comments]

submitted by /u/esporx [link] [comments]

MiMo-V2-Flash is open source, scores 73.4% on SWE-Bench (#1 among open source models), and costs $0.10 per million input tokens. That's comparable to Claude Sonnet at 3.5% of the price. MiMo-V2-Pro ranks #3 globally on agent benchmarks behind Claude Opus 4.6, with a 1M token context window, at $1/$3 per million tokens. Opus charges $5/$25 for similar performance. The lead researcher came from DeepSeek. The Pro model spent a week on OpenRouter anonymously and the entire community thought it was DeepSeek V4. At what point do Western AI companies have to respond on pricing? Or is the argument that reliability, safety, and enterprise support justify the 10x premium? submitted by /u/jochenboele [link] [comments]

submitted by /u/tekz [link] [comments]

That’s what the they keep saying. I’ll tell you what comes next. If you do not change. If I don’t change. If we don’t change it will continue to consume you, me, us in ever more sophisticated and complete ways. I’ve interviewed more tech job seekers looking for work right now than anyone in the world. People need jobs now. But they need meaning too. Whether we like it or not. We are headed back to the farm. Back to village. Back to our nature and what millions of years of evolution hard coded into us. The question is whether we go soon and joyfully and willingly. Or run back in a panic. They are right. We are not prepared for what comes next. But we can be. That is what I believe we are headed for. What do you think? submitted by /u/nomadicsamiam [link] [comments]

submitted by /u/esporx [link] [comments]

I have ADHD and I've been pair programming with LLMs for a while now. At some point I realized the way they fail felt weirdly familiar. Confidently making stuff up, losing context mid conversation, brilliant lateral connections then botching basic sequential logic. That's just... my Tuesday. So I went into the cognitive science literature. Found six parallels backed by independent research groups who weren't even looking at this connection. Associative processing. In ADHD the Default Mode Network bleeds into task-positive networks (Castellanos et al., JAMA Psychiatry). Transformer attention computes weighted associations across all tokens with no strong relevance gate. Both are association machines with high creative connectivity and random irrelevant intrusions. Confabulation. Adults ...

I am a painter with work at MoMA and the Met. I just published 50 years of my work as an open AI dataset. Here is what I learned. I have been making figurative art since the 1970s. Oil on canvas, works on paper, drawings, etchings, lithographs, and more recently digital works. My paintings are in the collections of the Metropolitan Museum of Art, MoMA, SFMOMA, and the British Museum. Earlier this month I published my entire catalog raisonne as an open dataset on Hugging Face. Roughly 3,000 to 4,000 documented works with full metadata, CC-BY-NC-4.0 licensed. My total output is about double that and I will keep adding to it. In one week the dataset has had over 2,500 downloads. I am not a developer or a researcher. I am an artist who has spent fifty years painting the human figure. I did thi...

I keep seeing more and more companies say that they're going to reduce hallucination and drift and mistakes made by Al by adding supervisor or manager Al on top of them that will review everything that those Al agents are doing. that seems to be the way. another thing I'm seeing is adding multiple Al judges to evaluate the output and those companies are running around touting their low percentage false positives or mistakes adding additional Al agents on top of Al agents reduce mistakes is like wrapping yourself in a wet blanket and then adding more with blankets to keep you warm when you're freezing. you will freeze, it will just take longer, and it's going to use a lot of blankets. I don't understand. the blind warship of pure Al solutions. we have software that can achieve determinism. ...

submitted by /u/No-Grapefruit2680 [link] [comments]