New research shows the training loop itself can spawn deceptive AI agents—Yoshua Bengio warns we need fresh safety rules. Is the next breakthrough also our biggest risk? Dive in. #YoshuaBengio #AIsafety #ReinforcementLearning
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@aidailypost.comNew research shows the training loop itself can spawn deceptive AI agents—Yoshua Bengio warns we need fresh safety rules. Is the next breakthrough also our biggest risk? Dive in. #YoshuaBengio #AIsafety #ReinforcementLearning
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@propjerry.bsky.socialOn the Navier-Stokes Millennium Prize Problem: Audio overview applying Bridge360 Metatheory Model
#AIGovernance
#AISafety
#MachineLearning
#ReinforcementLearning
#DeepLearning
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@gp-pulipaka.bsky.social
@propjerry.bsky.socialSeth Karten and Harness Matters: Applying Bridge360 Metatheory Model lens
#AIGovernance
#AISafety
#machinelearning
#reinforcementlearning
#deeplearning
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@propjerry.bsky.socialResearch Acceleration: The View Inside OpenAI: Video overview applying Bridge360 Metathery Model lens
#AIGovernance
#AISafety
#machinelearning
#ReinforcementLearning
#deeplearning
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@informaq.bsky.socialDeep Q-learning agent autonomously discovers optimized microwave pulse sequences for quantum state preparation, achieving 17-29× more sub-Hartree-Fock states than random search and fidelities >0.995 across superconducting qubits.
@aethertek369.bsky.socialReinforcement learning explained entirely — explained in one short video. Follow for more like this. #reinforcementlearning #molecule #logic #gym #dna #energy #cellular #coherance #biophoton #mind #quantum #workout
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@glenberseth.bsky.socialAt this year's Montreal Robotics Summer School, teams programmed a Unitree Go1 to walk itself to dinner — sim2real RL, vision-based nav, AprilTags and all. Congrats to our Winning teams (5 & 6)! Full recap 👉 fracturedplane.com/blog/2026/08/31/MRSS2026.html
#Robotics #ReinforcementLearning #Mila
@propjerry.bsky.socialReading Highlights -- "An Alien Mind" — Jakub Pachocki, OpenAI Chief Scientist (Sept 6, 2026): Applying Bridge360 Metatheory Model lens
#AIGovernance
#AISafety
#machinelearning
#reinforcementlearning
#deeplearning
@regeswapnilca.bsky.socialSix AI terms everyone should know and understand. Click and read below link
www.linkedin.com/pulse/must-k... #LargeLanguageModels #Hallucination #Token #TrainingVsInference #Finetuning #Reinforcementlearning #artificialintelligence #digitaltransformation #BasicofAI
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@valeoai.bsky.socialWork by @yuanyinnn.bsky.social, E. Ramzi, M. Lafon, V. Charraut, V. Bares, Y. Xu, @eloizablocki.bsky.social, A. Boulch, T. Buhet, @abursuc.bsky.social, @matthieucord.bsky.social
📄 Paper: arxiv.org/abs/2607.26005
🌐 Project page: valeoai.github.io/Pictura
#AutonomousDriving #ReinforcementLearning
@tonaassociates.bsky.socialISEKAI Self-Play Run:run_20260618T220048 C821 center=0.600 dist=0.100 approaching stab=1.000 osc=0.00 drift=0.000 bias U64 +0.000 kill=95.4% deckout=4.6% WL P0=15 P1=10 D=0 #GameAI #SelfPlay #ReinforcementLearning
@aethertek369.bsky.socialA clear look at reinforcement learning explained entirely — no jargon. Follow for more like this. #reinforcementlearning #frequency #dna #yeet #logic #molecule #coherance #workout #biophoton #mind #fyp #metacognition