You can persuade #AI models to accept falsehoods as truth, study shows
by Ashique KhudaBukhsh @_TCglobal Learn more: https://
bit.ly/4dPA5ao #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
RESEARCH
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AI models can be persuaded to accept falsehoods study
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AI promises: cure all diseases, automate research, eliminate boring work, personal doctor
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1.Cure all diseases 2.Automate scientific research, helping us solve challenges such as energy scarcity and discover new materials 3.Eliminate boring, repetitive work by letting AI handle those tasks 4.Give everyone access to a personal AI doctor that can monitor all of their
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Codex Goal Mode Now Available in Multiple Interfaces
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3️⃣ Goal mode is now available in the Codex app, IDE extension, and CLI.
— OpenAI (@OpenAI) 22 mai 2026
Goal mode makes Codex more hands-off, letting you set a goal that it can work towards for hours or even days. pic.twitter.com/OZ18P1YxBfGoal mode is now available in the Codex app, IDE extension, and CLI. Goal mode makes Codex more hands-off, letting you set a goal that it can work towards for hours or even days.
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Montreal.AI YouTube: AGI Debate Archive Relaunch
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The archive is awake. Introducing the renewed http://
MONTREAL.AI YouTube channel — public intelligence for the AGI‑First → ASI‑First era. Home of the AGI Debate archive and the official video record for http://
MONTREAL.AI & http://
QUEBEC.AI. -
Scaling embedding learning rate by model width removes need for µP
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Turns out you never really needed µP, you just needed to scale the embedding learning rate by model width I'm no nanoGPT speedrunner, but isn't it something people stumbled into by using Muon for hidden layers + Adam for the rest?
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MONTREAL.AI YouTube Channel Launches AGI Debate Archive
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The archive is awake. Introducing the renewed http://
MONTREAL.AI YouTube channel — public intelligence for the AGI‑First → ASI‑First era. Home of the AGI Debate archive and the official video record for http://
MONTREAL.AI & http://
QUEBEC.AI. -
Gated DeltaNet-2: Hybrid Attention Architecture Advancement
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Gated DeltaNet has been one of my favorite "hybrid attention" newcomers in the good old transformer stack.
Excited to see Gated DeltaNet-2. Adding it to my reading stack. In the meantime, I have a primer on Gated DeltaNet here: https://
magazine.sebastianraschka.com/i/177848019/26
-gated-deltanet
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Stanford and partners announce 2026 Conference on Physics and AI
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The Center for Decoding the Universe teams up with @APSphysics
's Group on Data Science and @NeurIPSConf
's Machine Learning and Physical Sciences Workshop team to present the 2026 Conference on Physics and AI (PAI26). Learn more about this year's agenda: https://
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Complete guide to understanding LLMs from first principles free online
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INCREDIBLE The MOST COMPLETE GUIDE for understanding LLMs from first principles is now available online to read for free Covers the model mechanics – Tokens / tokenizers
– Transformers
– Attention
– KV cache
– Prefill vs decode
– Decoding controls
– Model packages
– Chat