ANTHROPIC JUST DELETED THEIR OFFICIAL BLOG POST ANNOUNCING CLAUDE MYTHOS: THEIR MOST POWERFUL AI MODEL EVER. "By far the most powerful AI model we've ever developed." A new tier that crushes Claude Opus 4.6 in software coding, academic reasoning… and especially
RESEARCH
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Peak-Return Greedy Slicing: Faster Safer AI Learning Method
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What if your AI could learn faster and safer by focusing only on the best parts of past experiences? A team from Shandong University, Chinese Academy of Sciences, and partners like Li Auto unveils Peak-Return Greedy Slicing (PRGS). This method cleverly breaks down long
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Weekly Optimist Roundup: Nuclear, Moon, Energy, and Biotech Breakthroughs
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NASA goes nuclear (and Moon)
Terraform Industries breaks ground
Arbor Energy lands billion-dollar turbine deal
Centivax raises $37M for universal flu vaccine
Neion Bio hatches with chicken egg drugs + Science Breakthroughs + Extra Doses What a week for the optimists. -
Symbolica’s Agentica SDK Achieves 36.08% on ARC-AGI-3 Benchmark
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Symbolica's Agentica SDK just hit 36.08% on the brand-new ARC-AGI-3 benchmark – in a single day – at a fraction of what brute-forcing it with a frontier model would cost.
— Chubby♨️ (@kimmonismus) 27 mars 2026
Their agentic approach dramatically outperformed throwing raw compute at the problem.
Really eagier to… https://t.co/ZPjMEQvLI5Symbolica's Agentica SDK just hit 36.08% on the brand-new ARC-AGI-3 benchmark – in a single day – at a fraction of what brute-forcing it with a frontier model would cost. Their agentic approach dramatically outperformed throwing raw compute at the problem. Really eagier to
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GLM-5.1 Released: Chinese AI Models Closing the Gap
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GLM-5.1 released! Chinese models are coming closer, the gap is shrinking
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Kaggle Book: Master Data Science with ML and LLMs
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The Kaggle Book — Master Data Analysis and #DataScience Competitions with #MachineLearning, GenAI, and LLMs [2nd Edition]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with -
Learn Probability Through Problems: Essential Math for AI
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Learn Probability Through Problems (exercises, hints, and solutions provided): http://
amzn.to/3vZed8W
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#Statistics #DataScience #Mathematics -
Sakana AI Researcher Akiya Interviewed by Japan’s METI on AI Development
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A long interview with Takuya Akiya (
@iwiwi
), Research Scientist at Sakana AI, has been published on the Ministry of Economy, Trade and Industry's website. https://
meti.go.jp/policy/mono_in
fo_service/geniac/geniac_magazine/keyperson_9.html
… Leading the model development for Sakana Chat/Namazu, Akiya reflected on his journey as a -
Latent Space Mechanics: Vectors Transform Through Neural Layers
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The latent space is not a database inside your model.
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 27 mars 2026
You can't open it. you can't edit it. you can't inject facts into it.
When words enter an LLM, they become vectors.
These vectors get transformed again and again across many layers.
All those intermediate representations =… pic.twitter.com/pyoO7hsEk9The latent space is not a database inside your model. You can't open it. you can't edit it. you can't inject facts into it. When words enter an LLM, they become vectors.
These vectors get transformed again and again across many layers. All those intermediate representations = -
Mathematics of Machine Learning Book Review by Kirk Borne
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This