The most interesting result in Anthropic's latest paper isn't the 8x increase in code output.
It's this:
Claude Mythos Preview suggested a better research direction than humans 64% of the time.
We're moving beyond AI that writes code.
We're approaching AI that helps decide
RESEARCH
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Claude Mythos suggests better research directions 64% of the time
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MMDesign platform generates nanobody candidates from target protein and binding site
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What if you could design a new nanobody from scratch with only tens of lab tests instead of millions? MoleculeMind (led by Jinbo Xu) presents MMDesign – a platform that generates and filters nanobody candidates from just a target protein and desired binding site. The system
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AI outpaces human understanding, researchers warn
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Human understanding of #AI can't keep up with its advancement, researchers say
by Krystal Kasal @TechXplore_com Learn more: https://
bit.ly/3Sn3Xm9 #ArtificialIntelligence #MachineLearning #ML -
Traditional ML background irrelevant for modern deep learning systems
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endlessly fascinating how a traditional machine learning background is basically not that helpful for modern AI. we use deep NNs and do SGD with one of two losses. most day-to-day work lies in abstractions *on top* of this layer. everything is really just a massive system of
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Agent-Native Research Artifacts turn papers into executable packages
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What if scientific papers were written for AI agents, not humans? Researchers from 25+ top labs (Stanford, MIT, Harvard, Meta, NVIDIA, etc.) introduce Agent-Native Research Artifacts (ARA) – a protocol that replaces narrative papers with executable research packages. ARAs
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GLM 5.2 numbers imply quicker Fable 5 arrival than predicted
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GLM 5.2 numbers make me believe I was too conservative in my own prediction 2 months tops and we'll have Fable 5 at home
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DeepSeek rewires residual connections that power AI
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DeepSeek Is Rewiring the Residual Connections That Still Power AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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AI benchmarks correlations: value in disentangling them
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Everything is correlated in AI benchmarks. The value would be picking apart the correlation
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Artificial Analysis useful but index lacks real-world validity
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I think artificial analysis fills a useful spot in the ecosystem for independent assessment, but the index has very little validity compared to real world tasks. It is just lucky that basically every measure is correlated so you can pick any set of benchmarks and they kinda work
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Critique of AI benchmark using AI evaluation on public questions
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This was not a good benchmark before it was updated and it is not a good benchmark now. Having AIs evaluate the work of other AIs on publicly available questions from a different closed benchmark doesn’t tell you very much. And it is unclear how they establish the human ELO.