The wiki

Amazon’s AI work spans foundation models, cloud infrastructure, custom silicon, consumer assistants, and investments in OpenAI and Anthropic.

Advanced Micro Devices combines AI accelerators, server CPUs, software and rack-scale systems, with specialized inference silicon added to its acquisition roadmap.

Interface designer and developer exploring how AI tools can support human judgment, writing, learning, and software development.

Advanced Machine Intelligence develops world models for prediction and planning, backed by a $1.03 billion seed round announced in March 2026.

Baseten cofounder and CTO focused on making AI inference fast, scalable, and usable in production.

An AI software-building organization that grew out of Sourcegraph, rebuilt its coding agent around more autonomous work, and separated free software use from paid hosted compute.

Anjney Midha’s public benefit corporation builds a compute grid to pool AI infrastructure supply and research demand across clouds and chip architectures.

How Amp approaches a moving target: model-specific tools, fewer product commitments, deliberate context selection, and fast feedback from tests and human review.

A venture capital firm backing technical founders across AI, data infrastructure, developer tools, and digital biology.

A product analytics company whose AI work spans natural-language analysis, behavioral evaluation, monitoring agents, and experimentation.

Chatbot Arena co-founder whose statistical work helps interpret human preferences in AI evaluation.

Runway co-founder and co-CEO working on generative video, creative tools and interactive world models.

An AI safety evaluation company whose simulated vending businesses grew into physical shops, robotics research, and Pion, a platform for autonomous-business experiments.

Elicit cofounder and CEO whose research and public writing emphasize making AI reasoning systematic, inspectable, and useful for human decisions.

AI researcher and educator whose work connects vision and language, practical neural-network engineering, and compact implementations that expose how models work.

Cerebras co-founder and CEO whose work centers on purpose-built AI systems, simpler large-model training, and low-latency inference.

Speak co-founder and CTO working on AI language tutors that combine open conversation with structured teaching.

Vercel’s Chief of Software, whose work spans internal data agents, the skills installation CLI and the eve agent framework.

Chemical-engineering researcher and co-founder of FutureHouse and Edison Scientific, credited with designing Kosmos’s scientific world model.

Lila Sciences’ CTO works on AI for scientific discovery, following earlier work in generative protein design and clinical machine learning.

Co-founder of Laude Institute, Databricks and Perplexity, supporting open AI research and evaluations grounded in real software work.

Caltech professor whose work on neural operators connects machine learning with continuous physical systems, including global weather forecasting.

Traversal cofounder and causal machine learning researcher working on AI-assisted production incident response and data-driven decision-making.

AI investor and AMP founder working on pooled compute, independent research teams, and the infrastructure needed to turn model capabilities into useful output.

Braintrust founder whose work connects AI evaluation, developer workflows and production observability.

Codeium builder and writer on AI product economics, developer experience, and enterprise infrastructure.

Jeremy Howard and Eric Ries’s practical AI R&D company, working on accessible model adaptation, encoder research, and tools for building applications.

Continuous training, self-directed research and a simpler application stack underpin the ambition to build thousands of useful products with roughly 12 people.

The company behind Claude combines model development with alignment and interpretability research, coding tools, agent infrastructure, and evolving safeguards.

AI educator and AWS developer advocate whose work spans hands-on LLM training and public explanations of cloud-scale agents.