AVO: Agentic Variation Operators for Autonomous Evolutionary Search Paper: https://
arxiv.org/abs/2603.24517
v1
… Our report: https://
mp.weixin.qq.com/s/JGqF9Z1up9nR
q_owePisbQ
…
RESEARCH
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AVO: Agentic Variation Operators for Autonomous Evolutionary Search
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Guided Transformer Graph Resource for ML and AI
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Guided Transformer Graph! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Guided-Transfo
rmer
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Why Everyone Wants AI Jobs But Nobody Wants Data Work
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Everyone wants to work in AI… until data is mentioned. That contrast says a lot about where we are today. I recently came across an experiment with 100+ postgraduate students. When asked who wanted to work in AI, every hand went up.
When asked about data, only a few -
AI Scientist Autonomously Handles Hypothesis, Experiments, and Paper Writing
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Our company's AI scientist's initiatives and the publication in @Nature were featured in today's @Nikkei
. https://
nikkei.com/article/DGXZQO
SG240TY0U6A320C2000000/
… The article provides a detailed explanation of how AI autonomously handles everything from hypothesis formulation to experiments and paper writing, -
LLMs Learn to Recognize Uncertainty With Behavioral Calibration
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What if your AI could tell you it's unsure, instead of confidently making things up? Researchers from ByteDance Seed, CMU, and Fudan University have a breakthrough. They've developed 'behavioral calibration,' a new reinforcement learning approach that trains LLMs to recognize
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Mastering Sophisticated AI Agents: Practical Developer Guide
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…472 pages of “practical advice designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book
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Nature Paper Reveals Scaling Law for AI-Generated Science Quality
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One of the most exciting findings in our @Nature paper is the discovery of a clear scaling law of AI science. By using our Automated Reviewer to grade papers generated by different foundation models, we observed that as the underlying models improve, the quality of the generated
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Companies need R&D budgets for AI organizational experiments
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And yes, this means companies will also require a R&D budget for areas of the company that traditionally have not required R&D — you need to experiment with organizational approaches, new ways of structuring projects, skill/agent building techniques, and other ways to apply AI.
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AI failure absence shows lack of ambition
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I think that if companies are not failing at all with their AI efforts it is a sign that they are not being ambitious enough. This is a fundamentally new technology that we do not know how to use well. Achieving breakthroughs will require experimentation, which require failure.
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AGI Requires Novel Task Mastery
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AGI hasn't been achieved until AI beats or ties humans at tasks neither has done before.