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→ View original post on X — @ronald_vanloon, 2026-04-10 03:20 UTC
RESEARCH
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FunAI Lab Visits Sakana AI: Research Discussion and Presentations
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Today we visited Japan's hottest AI startup @SakanaAILabs🎏🇯🇵! We met their research scientists and discussed the implications and impact of some their works like "The AI scientist" and "Continous Thought Machines". We presented our @FunAILab works, "Better Language Models Exhibit Higher Visual Alignment" and "Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning". Got lots of cool questions and discussions! Thanks, Masanori Suganuma, @_yutaroyamada, @ciaran_regan_
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Mythos Not AGI: Tuned Model Not General Intelligence Advance
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I rest my case: Mythos isn’t AGI. It’s not even better at biology than the last model. It’s tuned to particular things, not a giant advance towards general intelligence. Same as it ever was.
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New Science of Intelligence Needed Beyond Code
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that’s nonsense. we need new science (of intelligence/cog sci) not just code
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Domain Verifiability Economics Impact AI Implementation
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it’s much more than that. you can only do the trick if your domain is verifiable (like logic and coding) and the economics make it worth doing a lot of specific work for that domain. it’s not just about expertise, it’s about the nature (and economics) of the domain.
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Accelerating pace of model releases and enterprise products outpaces market absorption
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The pace at which useful things are shipping also seems to be accelerating. Model releases are coming faster, of course, but so are significant application and enterprise products (especially from Anthropic). Almost certainly faster than the market can track or absorb information
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NVIDIA trains AI using evolution-based strategies instead of calculus
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NVIDIA just trained a 14-billion-parameter AI using evolution, not calculus. Every AI today learns through backpropagation. It computes gradients, adjusts weights, repeats. It works, but it demands precision hardware and enormous GPU clusters. Evolution Strategies offered
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Claude’s coding benchmark performance analysis and evaluation
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possibly on coding benchmarks, but see the graph in here: https://
open.substack.com/pub/garymarcus
/p/three-reasons-to-think-that-the-claude?r=8tdk6&utm_medium=ios
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Claude’s Due Diligence Failures: Gary Marcus Analysis
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they shoulda diligenced, you shoulda, too. https://
open.substack.com/pub/garymarcus
/p/three-reasons-to-think-that-the-claude?r=8tdk6&utm_medium=ios
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Three Reasons to Think That Claude Has Limitations
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See: https://
open.substack.com/pub/garymarcus
/p/three-reasons-to-think-that-the-claude?r=8tdk6&utm_medium=ios
…