URGENT: A new MIT study has revealed that AI is destroying one of your most important skills. Discerning what is real. Here's what they found and how to stop it:
GENERATIVE AI
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AI Framework Creates Shadow Art from Object Scans
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Framework generates 'shadow art' from scan of any object
by Tom Fleischman @TechXplore_com Learn more: https://
bit.ly/4uYO5VB #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Sold-out New York premiere of Runway AI Festival tonight
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The sold out New York premiere of the 2026 Runway AI Festival is tonight. See you at the movies. pic.twitter.com/l5niWgMMzb
— Runway (@runwayml) 11 juin 2026The sold out New York premiere of the 2026 Runway AI Festival is tonight. See you at the movies.
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Speculative decoding makes LLMs 8.5x faster without accuracy loss
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Researchers found a way to make LLMs 8.5x faster!
— Akshay 🚀 (@akshay_pachaar) 11 juin 2026
(without compromising accuracy)
Speculative decoding is quite an effective way to address the single-token bottleneck in traditional LLM inference.
A small "draft" model first generates the next several tokens, then the large… https://t.co/JCdqjCKcKU pic.twitter.com/HbKmRqdF5PResearchers found a way to make LLMs 8.5x faster! (without compromising accuracy) Speculative decoding is quite an effective way to address the single-token bottleneck in traditional LLM inference. A small "draft" model first generates the next several tokens, then the large
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NvidiaAI showcases snug image and asks about Nemotron Omni
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look at them all snug in there! And let us know what you think of Nemotron Omni.
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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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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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Workflow: Fable plans, Codex executes
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Basically, here is my workflow now:
– Fable writes a detailed plan as an md file
– Send this file path to Codex with /goal