On "GLOSSOGEN: Emergent Language in Complex Multi-Agent LLM Interactions": Applying Bridge360 Metatheory Model lens
#AIGovernance
#AISafety
#MachineLearning
#ReinforcementLearning
#DeepLearning
@propjerry.bsky.social
@propjerry.bsky.socialOn "GLOSSOGEN: Emergent Language in Complex Multi-Agent LLM Interactions": Applying Bridge360 Metatheory Model lens
#AIGovernance
#AISafety
#MachineLearning
#ReinforcementLearning
#DeepLearning
@aidailypost.comCould GPT‑style agents actually run a farm or handle real‑world chores without a human hand? New research shows LLM agents tackling long‑term physical tasks with reinforcement learning. Dive into the future of autonomous systems! #LLMAgents #PhysicalAI #ReinforcementLearning
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@gp-pulipaka.bsky.social
@gp-pulipaka.bsky.socialReinforcement Learning from Human Feedback: LLM Alignment and Post-Training! #BigData #Analytics #ReinforcementLearning #DataScience #AI #MachineLearning #Programming #Coding #100DaysofCode
geni.us/RL-Human-Fee...
@propjerry.bsky.socialCooperative preservation of heterogeneous agents and their viable corridors: Applying Bridge360 Metatheory Model lens
agericomontecillodevilla.substack.com/p/cooperativ...
#aigovernance #AISafety #machinelearning #reinforcementlearning
#deeplearning
@propjerry.bsky.socialNow Russian actor using agentic AI swarm.
#AIGovernance
#AISafety
#machinelearning
#reinforcementlearning
#deeplearning
@propjerry.bsky.socialWhen AGI or ASI imbibes adversarial games-playing developmental grammar dominating frontier model management: Applying Bridge360 Metatheory Model lens
agericomontecillodevilla.substack.com/p/when-agi-o...
#AIGovernance #AISafety #machinelearning #ReinforcementLearning #deeplearning
@aethertek369.bsky.socialWhy reinforcement learning matters and who it: the part most people miss. #reinforcementlearning #energy #dna #metacognition #workout #yeet #biophoton #quantum #molecule #frequency #meta #gym
@propjerry.bsky.socialNavigability Beats Truth in Complex Systems: Applying Bridge360 Metatheory Model lens
agericomontecillodevilla.substack.com/p/navigabili...
#AIGovernance
#AISafety
#MachineLearning
#ReinforcementLearning
#DeepLearning
@propjerry.bsky.socialRevisiting He et al. 2015 paper "Delving Deep into Rectifiers -- Surpassing Human-Level Performance on ImageNet Classification": Applying Bridge360 Metathoery Model lens
@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.