Encode: AI for Science - Challengescape
No. 018: Genesis Mission $5B, Challengescape problem directory, team science vs. solo AI agents - The Hallway Track
The Hallway Track No. 018 - How AI is affecting the practice of science
deepseek-ai/DeepSeek-V4-Flash-0731 at 9e165c30e2704aec5d9d593cce3eebd58bbef1cb
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
DeepSeek_V4.pdf · deepseek-ai/DeepSeek-V4-Pro at main
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
AI for science: What can it do? Can it do things? Let’s find out!
A what we’re reading spotlight
unsloth/DeepSeek-V4.1-Flash-1017-GGUF · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Primordial Computing Soup
Fostering AI art scenius, creating an open planetary network of robots
Introducing LM Studio Bionic: the AI agent for open models
The AI agent made for open models, built to get things done.
Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
Who chooses what AI gets to do?
How AI Agents are transforming scientific discovery
AI agents are starting to reshape science, from proposing novel hypotheses to writing code. Learn what comes next for scientists and policymakers.
Fulcrum - Leverage for Discovery
We place AI engineers with research labs working on hard scientific problems.
No. 029: OpenAI math manuscripts, inquiry narrowing, virtual biology initiative - The Hallway Track
The Hallway Track No. 029 - How AI is affecting the practice of science
The Age of Wonders and Terrors
Twenty years ago, when the idea of AI taking over the world in our lifetimes still struck most of us as the unconstrained fantasy of those who knew too much science fiction and too little science, …
jedisct1/Qwen3.6-35B-rust.mlx · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Google.org Impact Challenge: AI for Science
The Google.org Impact Challenge: AI for Science is a $30M global initiative to accelerate scientific breakthroughs that improve human health and build climate resilience.
ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments
Scientific code repositories encode decades of human knowledge in executable models, methods, and tools. Yet fragmented toolchains, implicit domain conventions, and specialized correctness criteria make this knowledge difficult to convert into reliable learning experience-a challenge we call the scientific experience bottleneck. We introduce ScienceIDE, infrastructure for turning the world's scientific code into programmable environments for scientific agents. Guided by expert-defined scientific cases and acceptance criteria, agents transform repositories into executable environments that support task generation, execution, and scientific verification. These environments provide a shared foundation for supervised fine-tuning, reinforcement learning, and evaluation. Using verified interaction trajectories, we train PhAI-IDE-72B, PhAI-IDE-9B, and PhAI-IDE-4B. The model family shows gains in held-out scientific-code repair and across selected general-purpose benchmarks in code, reasoning, and knowledge, providing evidence of positive transfer from scientific experience to broader capabilities. ScienceIDE lays the foundation for an integrated workspace for agent learning and scientific practice, making humanity's scientific software a shared substrate for developing scientific intelligence. Code: https://github.com/aitofound/ScienceIDE
