TRL-Bench Standardization of representation-level inter-paradigm evaluation for tabular encoders
AI
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement pic.twitter.com/NHDKezxAoY
— AK (@_akhaliq) 11 juin 2026Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Anthropic’s Fable 5 surpasses competitors in visual tasks
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🤖 Anthropic's Claude Fable 5 Outperforms Peers
— Amitav Bhattacharjee (@bamitav) 11 juin 2026
Real tests show #Claude #Fable5 beating Claude Opus 4.8, Gemini 3.1 Pro, and GPT 5.5 on tough visual tasks like 3D hydrodynamics and complex physics. The gap is significant.
Fable 5 is Anthropic's most powerful model open to all… pic.twitter.com/VMf5HPnkuuReal tests show that #Claude #Fable5 beats Claude Opus 4.8, Gemini 3.1 Pro and GPT 5.5 on difficult visual tasks such as 3D hydrodynamics and complex physics. The gap is significant. Fable 5 is the
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Duration of work sessions and cost comparison between Codex and Fable
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It really depends on the duration of your work sessions. I run loops on Codex on average for 5/10 hours. This would be incredibly expensive with Fable.
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Prompt for autonomous Claude Fable with persistent HTML updates
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Claude Fable can run autonomously for days.
— Matt Shumer (@mattshumer_) 11 juin 2026
This is the single highest-leverage prompt I use to stay on top of it:
"Spin up a persistent HTML page. As you work, append clear, timestamped updates with screenshots/media so I can follow along."
Literally a 10x better experience. pic.twitter.com/TKtsIALzxYClaude Fable can run autonomously for days. This is the single highest-leverage prompt I use to stay on top of it: "Spin up a persistent HTML page. As you work, append clear, timestamped updates with screenshots/media so I can follow along." Literally a 10x better experience.
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Getting Started with NVIDIA Cosmos 3 for Robotics and Physical AI
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Getting Started with NVIDIA Cosmos 3 for Robotics and Physical AI | Cosmos Labs https://
x.com/i/broadcasts/1
RKZzzrqYErKB
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Max Agency podcast: Tool design tricks behind Benchling’s AI agents
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Listen to the latest Max Agency, hosted by @hwchase17
: YouTube: https://
youtube.com/watch?v=RjpTrf
fSMjE
… Apple Podcasts: https://
podcasts.apple.com/us/podcast/the
-tool-design-tricks-behind-benchlings-ai-agents/id1891551672?i=1000771169985
… Spotify: https://
open.spotify.com/episode/2bFEj2
W290bk2JW1zC6wyp
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GoalOS-native α‑AGI Ascension using AGIALPHA GitHub repository
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GoalOS-native α‑AGI Ascension using AGIALPHA GitHub : https://
github.com/MontrealAI/goa
los-agialpha-ascension
… #AGIALPHA #AGIAscension -
Prompt and loop prevent Fable 5 token waste
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prompt sets goal, context, boundaries, and verification. loop handles time: effort level, checkpoints, verifier subagents, and stop rules so Fable 5 does not burn 500k to 1M tokens unchecked.
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Forgiveness attitude threatens open-source AI survival
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Of course! This “all forgiven, all forgotten” attitude is not gonna be any good for Opensource AI to survive.