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2093 results

Experts Have World Models. LLMs Have Word Models.Article · Ankit Maloo · 2026-02-07ArticleAnkit Maloo2026-02-07
Elicit: Making AI Research a Process You Can Inspect

From oversight experiments to reusable notebooks, Elicit builds research workflows whose steps can be trained, checked, and scaled.

Writeup · Date unavailable
Writeup——
AI vs SaaS: The Unreasonable Effectiveness of Centralizing the AI HeartbeatAI News · 2026-02-07AI News—2026-02-07
Elie Bakouch

An open language-model researcher whose SmolLM work connects small-model training, reasoning and practical reuse of intermediate checkpoints.

Person · 2026-09-20
Person—2026-09-20
The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AIPodcast · Latent.Space · 2026-02-06PodcastLatent.Space2026-02-06
Elon Musk

xAI cofounder and historical OpenAI co-chair whose Tesla autonomy plan paired fleet learning with a public argument about deployment and validation.

Person · 2026-09-20
Person—2026-09-20
OpenAI and Anthropic go to war: Claude Opus 4.6 vs GPT 5.3 CodexAI News · 2026-02-06AI News—2026-02-06
Emil Eifrem

Neo4j co-founder and CEO advocating graphs, shared ontologies, and persistent context for AI systems.

Person · 2026-09-20
Person—2026-09-20
ElevenLabs $500m Series D at $11B, Cerebras $1B Series H at $23B, Vibe Coding -> Agentic EngineeringAI News · 2026-02-05AI News—2026-02-05
Emily Glassberg Sands

Economist and data science leader whose work at Stripe spans payments foundation models, agentic commerce, and the practical decisions behind AI adoption.

Person · 2026-09-17
Person—2026-09-17
Context Graphs and Agent TracesAI News · 2026-02-04AI News—2026-02-04
Emmanuel Ameisen

Anthropic interpretability researcher and machine learning author who builds tools for tracing model computation and testing internal mechanisms.

Person · 2026-09-17
Person—2026-09-17
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