The wiki

Reasoning helps an agent choose its next move. Reliable action also depends on usable tools, meaningful feedback, memory, and control over the workflow.

A technical newsletter, podcast and community for AI engineers, expanding into daily news and a podcast network.

Part 1 follows AI engineering’s growing community into inference economics, enterprise agents, synthetic data and the businesses succeeding close to either the machines or the customer.

Part 2 follows the move from impressive models to usable products: simpler image editing, branching agent execution, portable memory, harder evaluations and falling inference costs.

An AI engineering publication and community that grew from a newsletter and interview podcast into daily news and specialist shows.

Developer, npm Inc. cofounder and writer on AI application design, evaluation and the changing work of software engineers.

What users keep, edit, share, or discard can help diagnose AI output. Amplitude’s early question-to-chart work connects those signals to product experiments and a longer-term ambition to model behavior itself.

A computational chemistry company building large-scale molecular measurements and testing how well models generalize.

How DNA-encoded screens, careful controls and an agent sandbox turn measured protein–molecule interactions into experiments for models.

Coauthor of OBELICS and the Idefics vision-language models, with research focused on open multimodal data and experimentally justified model design.

The company behind MemGPT developed persistent-memory agent infrastructure, sleep-time compute and the Letta Code coding agent.

An AI image search and generation company founded by Sharif Shameem, whose prompt-search tool evolved into integrated generation and the Aperture diffusion models.

Machine-learning researcher and Periodic Labs co-founder working on AI systems that learn from physical experiments.

An AI research company combining scientific reasoning models with automated laboratories across biology, chemistry and materials science.

Experiments have runtimes. Part 1 follows Lila’s effort to turn physical laboratories into training feedback for scientific AI, from callable instruments to catalysts, materials, and cell therapies.

AI researcher and Lil’Log author whose work includes robotics vision and technical syntheses of autonomous agents, reasoning, and self-improving systems.

Fireworks AI co-founder and CEO, former PyTorch leader, and advocate for workload-specific inference and compound AI systems.

Lindy’s redesign makes required actions explicit while leaving models room to interpret information—a division of labor that shapes its workflows, memory, evaluations, and product strategy.

An AI assistant and agent platform that evolved from broad prompt-driven automation to explicit workflows, cloud computer use, and app building.

An AI assistant and agent company that evolved from Teamflow into workflow automation, cloud computer use, app building, and phone agents.

AI researcher and engineer whose work connects language-model interfaces, interpretable embeddings, and tools for knowledge work.

A nonprofit home for open source collaboration whose AI work spans agent protocols, machine learning frameworks, model licensing, research and certification.

An MIT CSAIL spinoff developing efficient foundation models, on-device deployment tools, and local agents.

A July 2023 launch-day conversation about commercially usable models, the engineering behind human feedback, and the applications still waiting to be tested.

From a GPT-3 summarization tree to an open-source data framework, commercial document services, and benchmarks for AI agents.

From XGBoost to browser-based language models, MLC tackles the engineering cost of making models useful across hardware.

From laptop models to camera conversations, 2024 expanded what people could do with LLMs—and exposed the reliability, interface and trust problems that builders still needed to solve.

LMArena, renamed Arena in January 2026, grew from Berkeley's Chatbot Arena research project into a public AI comparison platform and commercial evaluation business.

An open-source AI research organization behind Vicuna, FastChat, Chatbot Arena and SGLang, with work spanning model training, evaluation and inference systems.

Google AI Studio and Gemini API product lead, formerly OpenAI’s first Developer Advocate, whose work spans scientific-software documentation, developer experience and AI-platform tools.