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Scientific Discovery

10 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Oct 14, 2026 · Artificial Intelligence

Novix Achieves Scaled Co-Evolutionary RSI in Scientific Research

Novix, a platform by a Chinese team, implements co-evolutionary recursive self-improvement (RSI) where AI agents collaborate with top experts to solve frontier scientific tasks like model post-training, dam scheduling, and material prediction, creating a self-improving flywheel driven by human judgment.

AI for scienceAgent SystemsCo-Evolutionary RSI
0 likes · 18 min read
Novix Achieves Scaled Co-Evolutionary RSI in Scientific Research
PaperAgent
PaperAgent
Sep 27, 2026 · Artificial Intelligence

Anthropic's Nine Loops & ART: How Solo & Swarm Agents Achieve Reliable Scientific Discovery

Anthropic's new research reveals two agent paradigms: Nine Loops demonstrates a single agent completing a 96 CPU-week physics computation with only periodic check-ins, while ART orchestrates 949 agent sessions to autonomously discover a novel enzyme system, exposing critical insights on long-task reliability, multi-agent organization, tool-use pitfalls, and interpretability for attribution.

AI AgentsARTAnthropic
0 likes · 12 min read
Anthropic's Nine Loops & ART: How Solo & Swarm Agents Achieve Reliable Scientific Discovery
Data Party THU
Data Party THU
Jul 28, 2026 · Artificial Intelligence

Can AI with Pre‑1905 Knowledge Become the Next Einstein? DeepMind Examines the Missing Step

The article reviews DeepMind’s “LLMs can’t jump” paper, arguing that even if large language models are fed all scientific knowledge up to 1905, they still cannot recreate Einstein’s breakthrough because they lack the abductive jump from physical intuition to new axioms, a capability that requires interactive world models and physical priors.

Abductive ReasoningLarge Language ModelsPhysics
0 likes · 8 min read
Can AI with Pre‑1905 Knowledge Become the Next Einstein? DeepMind Examines the Missing Step
Machine Heart
Machine Heart
Apr 25, 2026 · Artificial Intelligence

Open‑Source Models Dominate 21 Scientific Discovery Tasks with SimpleTES

The SimpleTES framework decomposes trial‑and‑error into three scalable dimensions—Concurrency, Length, and Candidates—enabling test‑time scaling that lets open‑source models outperform closed‑source rivals across 21 diverse scientific benchmarks, from LASSO regression to quantum circuit compilation.

AI for scienceOpen‑source ModelsScientific Discovery
0 likes · 13 min read
Open‑Source Models Dominate 21 Scientific Discovery Tasks with SimpleTES
AI Explorer
AI Explorer
Mar 9, 2026 · Artificial Intelligence

How AI Solved a 30‑Year‑Old Knuth Math Puzzle in One Hour

In just an hour, Claude Opus 4.6 cracked a 30‑year‑old combinatorial problem posed by Donald Knuth, showcasing a leap from pattern‑recognition to symbolic logical reasoning and suggesting that AI may become a core driver of fundamental scientific discovery rather than merely a supporting tool.

AIClaude OpusScientific Discovery
0 likes · 6 min read
How AI Solved a 30‑Year‑Old Knuth Math Puzzle in One Hour
Data Party THU
Data Party THU
Jan 31, 2026 · Artificial Intelligence

Can LLMs Learn While Being Tested? Inside the TTT-Discover Breakthrough

The article examines the Test‑Time Training to Discover (TTT‑Discover) approach, which applies reinforcement learning during inference to let large language models continuously improve on single test problems, and reports strong results across mathematics, GPU kernel optimization, algorithm design, and biology.

AI ResearchLLMScientific Discovery
0 likes · 9 min read
Can LLMs Learn While Being Tested? Inside the TTT-Discover Breakthrough
HyperAI Super Neural
HyperAI Super Neural
Nov 17, 2025 · Artificial Intelligence

Can AI Scientists Surpass Human Researchers? From Assistants to Independent Innovators

The article analyses the emergence of AI scientists—systems that can generate hypotheses, design and run experiments, and write papers—examining their classifications, speed and scale advantages, interdisciplinary breakthroughs, as well as challenges such as black‑box opacity, reliability gaps, ethical concerns, and the evolving talent landscape.

AI ethicsAI scientistResearch Automation
0 likes · 18 min read
Can AI Scientists Surpass Human Researchers? From Assistants to Independent Innovators
21CTO
21CTO
Mar 16, 2025 · Artificial Intelligence

How Google’s AI Co‑Scientist Is Accelerating Biomedical Discoveries

Google unveiled an AI co‑scientist built on Gemini 2.0 that uses multiple specialized agents to generate, evaluate, and refine research hypotheses, demonstrating promising results in drug repurposing, liver fibrosis target discovery, and antibiotic resistance, while also highlighting current limitations and community reactions.

AIGoogle AIScientific Discovery
0 likes · 6 min read
How Google’s AI Co‑Scientist Is Accelerating Biomedical Discoveries
21CTO
21CTO
Jun 13, 2023 · Artificial Intelligence

Why OpenAI Leads Generative AI: Insights from Sam Altman & Ilya Sutskever

OpenAI’s Sam Altman and chief scientist Ilya Sutskever discuss the company’s leadership in generative AI, highlighting its focus, talent density, and innovative culture, while examining AI’s economic, security, and existential risks, the need for regulation, and its transformative potential for scientific discovery and climate solutions.

AI regulationAI riskOpenAI
0 likes · 9 min read
Why OpenAI Leads Generative AI: Insights from Sam Altman & Ilya Sutskever