TTRL: Test-Time Reinforcement Learning
A new approach that lets LLMs evolve on reasoning tasks without explicit labels. TTRL taps into the priors of pre-trained models, enabling self-improvement through data alone. Paper: https://
arxiv.org/pdf/2504.16084
Code: https://
github.com/PRIME-RL/TTRL
MACHINE LEARNING
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TTRL: Test-Time Reinforcement Learning for LLM Self-Improvement
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Macro-Sentinel: AI Agent for Fed Analysis and Market Hedging
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[ Macro‑Sentinel · Alpha‑Factory v1 ] Somewhere between Eustace Tilley’s raised monocle and the bond desk’s flickering tickers, we let loose a cabal of code—Macro-Sentinel—to sip Fed speeches, read the yield-curve’s pulse, and hedge the future before coffee.
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More Top ML Conferences Should Be Hosted in Asia
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We should host more top ML conferences (ICLR, ICML, NeurIPS) in Asia
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Claude élève le standard de compétence pour les tâches générales
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Claude raises the waterline for competence. It handles 99% of general discrete tasks better than the average person – the kind of work that used to require basic professional training but not deep expertise. This creates an interesting split: routine generalist work (basic
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Google AI Advances FireSat Flood Forecasting Geospatial Analysis
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Read about the research here: FireSat → https://
goo.gle/3Gz0U4n
Flood Forecasting → https://
goo.gle/4jmHfU4
Geospatial Reasoning→ https://
goo.gle/42jJVKK -
Research Using AI to Forecast Natural Disasters and Climate
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This #EarthDay, we're sharing how research can be used to support communities around the world, from forecasting floods and wildfires to better understanding complex questions about our planet.
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Early Software Interaction Predicts Student Success
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Could the way a student interacts with educational software in the first few hours predict their success months later? A new study suggests it's possible.
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Algorithms That Invent Algorithms: Self-Generating Code Evolution
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Algorithms That Invent Algorithms Inside our digital atelier, code now breeds code. Algorithms spawn heirs, worlds reshape, minds bloom unprompted. Feel tomorrow stir—explore the living demo. https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/aiga_meta_evolution
… #AGI #AGIALPHA #ReinforcementLearning -
MASt3R-SLAM: Real-Time Dense SLAM System with Global Consistency
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MASt3R‑SLAM is a truly plug and play real‑time dense SLAM system that leverages the rich two‑view 3D reconstruction priors of MASt3R to deliver globally consistent geometry and highly accurate camera poses.
— Satya Mallick (@LearnOpenCV) 22 avril 2025
By integrating novel matching, fusion, and optimization… pic.twitter.com/YECWe2aoDHMASt3R‑SLAM is a truly plug and play real‑time dense SLAM system that leverages the rich two‑view 3D reconstruction priors of MASt3R to deliver globally consistent geometry and highly accurate camera poses. By integrating novel matching, fusion, and optimization
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Alpha-Factory v1: MuZero Planning Agent in Browser Demo
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Somewhere between Eustace Tilley’s knowing smirk and DeepMind’s chessboard, we coaxed Alpha‑Factory v1 into a living novella of code: MuZero planning, balancing, outwitting—all inside your browser Pure delight. Demo: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/muzero_planning
… #AGI #AGIALPHA