Are scaling laws finally effective for time series foundation models? Today, @datadoghq is releasing Toto 2.0 weights under Apache 2.0 on @huggingface. It's a family of open-weights TSFMs ranging from 4M to 2.5B parameters, where each size outperforms the previous one from a single hyperparameter configuration.
RESEARCH
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AGI Alpha: A Public Proof Layer for Self-Improving AI
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Recursive validated self-improving AI at $ 4.65B. AGI ALPHA is building the public proof layer. Not just AI that improves—
AI that proves, replays, audits, archives & compounds. Proof-bound. Enterprise-ready. Built in public. https://
github.com/MontrealAI/agi
alpha-first-real-loop
… #AGIALPHA #MontrealAI -
AGI ALPHA: public proof-layer for recursive self‑improving AI
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Recursive validated self-improving AI at $4.65B. AGI ALPHA is building the public proof layer. Not just AI that improves—
AI that proves, replays, audits, archives & compounds. Proof-bound. Enterprise-ready. Built in public. https://
github.com/MontrealAI/agi
alpha-first-real-loop
… #AGIALPHA #MontrealAI -
Job opportunity in continual learning research
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Jake will be working with a lot of folks on continual learning – if that’s interesting, reach out to him!
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Policy Brief: Monitoring AI in FDA-Authorized Medical Devices
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New policy brief: 76% of FDA-authorized medical AI devices are radiology tools — yet most lack robust post-deployment monitoring. Our latest brief introduces a practical framework for real-time performance oversight of clinical AI. https://
hai.stanford.edu/policy/operati
onalizing-real-time-monitoring-of-clinical-ai
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OrthoReg: A New Method for Weight Disentanglement in Fine-Tuning
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What makes task arithmetic actually work? Researchers from Nanjing University, U. Wollongong, and NTU Singapore introduce OrthoReg: a simple method that enforces orthogonality in weight updates during fine-tuning. This promotes weight disentanglement and consistently boosts
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Standardized Blueprints Needed for AI Organizations
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We will need shareable and standardised Blueprints for AI Organisations BLUEPRINT.MD
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LangChain Labs launches focused on continual learning
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JUST IN: We're launching LangChain Labs. A new applied research effort focused on Continual Learning.
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GPT-5.5 solves Erdős problems, post-AGI research feels parallel
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GPT-5.5 has a certain magic about it. It solves one Erdős problem after another. this is what post-AGI research may actually feel like. Not one dramatic "AI solves math" moment, but dozens of parallel discoveries, anonymous contributors, formal proofs as trust infrastructure,
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Building AI Products with Open-Source Models and Sovereign Infrastructure
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Sydney showed up Huge thanks to the founders, devs, builders, & partners who joined us for SambaHouse with Equinix & SCX. Great convos, live demos, & a room full of people building real AI products with open-source models & sovereign infrastructure.