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Research & science
Discover AI research breakthroughs: scientific work, publications, lab innovations, and discoveries advancing the state of the art.
Before reaching products, AI is born in laboratories. This section tracks the progress of research in artificial intelligence: scientific work, major publications, algorithmic breakthroughs, and discoveries from academic and private labs. For anyone wanting to understand where AI is headed, this is the upstream source that heralds the capabilities and uses of tomorrow.
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A METR Study Reveals that AI Slows Down Experienced Developers
16/07

Promising Alternative to Chain-Of-Thought: Sapient Bets on a Hierarchical Architecture
30/07

The preprint ExpGraph proposes a self-evolving graph memory for LLM agents
02/06

Google Introduces MLE-STAR: A New Approach for Machine Learning Engineering
11/08

GPT More Confident on Difficult Tasks Where It Makes the Most Mistakes, According to a USC/Berkeley Preprint
26/05
Benchmark / evaluation · arXiv
ContextEcho: Compaction Does Not Correct Persona Drift, Benchmark on 23 Models
26/05
Timeless reads

According to a Bank of America study, 3 billion humanoid robots will be in service by 2060
14/03

Recent Demonstrations of Optimus: An Overview of Advances in Robotics
15/05

Croquette Crew, the 100% AI Rap Music Video by GenIArt Collective, Awarded at AI Film Awards Cannes 2025
04/06

DVPS: Rethinking Multimodal AI through Direct Interaction with the Real World
03/06

Helped by GPT-5, Then Left to Their Own Devices: A Randomized Trial Measures the Learning Cost of AI Assistance
12/06

Machine unlearning: Google Research validates an audit test, but not yet on LLMs
11/06
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