GPT-5.5-Cyber is our most capable cyber model yet, designed for advanced, authorized defensive work: tracing vulnerable code, validating issues, developing patches, and preparing evidence for human review.
RESEARCH
-
Humanoid-GPT: New AI for Complex Robot Movements and Tasks
By
–
Researchers have developed Humanoid-GPT, a new AI system that helps humanoid robots perform complex movements and tasks. #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI@lexfridman @KirkDBorne @Ronald_vanLoon… pic.twitter.com/F5imF5OG2I
— Amitav Bhattacharjee (@bamitav) 22 juin 2026Researchers have developed Humanoid-GPT, a new AI system that helps humanoid robots perform complex movements and tasks. #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @lexfridman @KirkDBorne @Ronald_vanLoon
-
Sparrow: Sparse Deployment for Long-Context RL LLM
By
–
Long-context RLVR is powerful, but most of the cost comes from generating massive CoT deployments. Sparse attention would make it faster, that's it.
-
VIMPO derives value function from policy to improve GRPO
By
–
"VIMPO: Value-Implicit Policy Optimization for LLMs" While GRPO is simple because it avoids a critic, it still gives every token in a reasoning trace the same reward signal. This paper tries to get the best of both worlds by deriving the value function from the policy itself
-
AI generates precise mechanical iris design in CAD
By
–
Use Case 4: Computer Aided Design of Mechanical Iris
— Sakana AI (@SakanaAILabs) 22 juin 2026
Can an AI generate precise, functional mechanical designs?
We tasked Fugu Ultra with creating a mechanical iris in CAD, similar to a camera aperture where multiple blades must move together to cleanly open and close a central… pic.twitter.com/Y27QDdcYipUse Case 4: Computer Aided Design of Mechanical Iris Can an AI generate precise, functional mechanical designs? We tasked Fugu Ultra with creating a mechanical iris in CAD, similar to a camera aperture where multiple blades must move together to cleanly open and close a central
-
Free MIT guide to key concepts of computer vision
By
–
A free MIT guide to key concepts of computer vision: https://bit.ly/43Tn1vW
-
Fugu Ultra tested on 50 weeks of stock data
By
–
Use Case 2: Financial Time Series Prediction
— Sakana AI (@SakanaAILabs) 22 juin 2026
Can an AI agent navigate sequential, no-look-ahead market decisions?
Just for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized equity (STOCK_X). Starting with $10,000, the agent processes weekly market data… pic.twitter.com/BcqCfUfw2dUse Case 2: Financial Time Series Prediction Can an AI agent navigate sequential, no-look-ahead market decisions? Just for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized equity (STOCK_X). Starting with $10,000, the agent processes weekly market data
-
Autonomous ML Research: Fugu Ultra improves GPT model via AutoResearch
By
–
Use Case 1: Autonomous ML Research
— Sakana AI (@SakanaAILabs) 22 juin 2026
Can an AI autonomously improve another AI’s training recipe?
We tasked Fugu Ultra with improving a small GPT model using AutoResearch. Over 14 hours on a single H100 GPU, Fugu ran > 100 experiments. It iteratively edited the training code, ran… pic.twitter.com/Gp96FEQ797Use Case 1: Autonomous ML Research Can an AI autonomously improve another AI’s training recipe? We tasked Fugu Ultra with improving a small GPT model using AutoResearch. Over 14 hours on a single H100 GPU, Fugu ran > 100 experiments. It iteratively edited the training code, ran
-
LLMs cannot be trusted: alignment must move on
By
–
LLMs can’t be trusted to follow rules. Which means they can’t be trusted, period. If we are going to solve alignment we must move on.
-
PerceptionDLM: Parallel Region Perception with Multimodal Language Models
By
–
PerceptionDLM
— AK (@_akhaliq) 22 juin 2026
Parallel Region Perception with Multimodal Diffusion Language Models pic.twitter.com/0vZdGaAPoyPerceptionDLM Parallel Region Perception with Multimodal Diffusion Language Models