/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

days · browse · Enter similar · o open

Sources: Mira Murati's AI startup has poached about 10 researchers and engineers, including former OpenAI Head of Special Projects Jonathan Lachman, from rivals

It's a major get for Murati's mysterious startup, which has also poached engineers and researchers from a number of other prominent AI firms.

Wired Zoë Schiffer

Context & Ripple Effects

Murati’s startup was already reported to be fundraising around AI products built on proprietary models. Hiring roughly 10 researchers and engineers gives that early ambition a more concrete technical base, particularly through the addition of a former OpenAI executive raising capital for a proprietary-model venture.

The move also extends Murati’s earlier challenge of attracting AI talent after her OpenAI leadership role, making recruitment a central operating test rather than a peripheral startup task.

First-order effects

  • Murati’s startup gains an initial group of experienced technical staff, including Jonathan Lachman, while the unnamed rival AI firms lose personnel to a new entrant.
  • The hires improve the startup’s capacity to turn its proprietary-model plans into an operating research and engineering program.

Second-order effects

  • Established AI labs face stronger retention pressure for senior researchers and engineers as a founder with OpenAI ties builds a competing team.
  • Recruiting becomes a more consequential input to the startup’s fundraising and product credibility: investors can assess more than an undeveloped founding thesis.

Third-order effects

  • If similar moves continue, elite AI talent will remain concentrated in a small set of well-funded labs and spinouts, making team formation a primary competitive moat alongside models and compute.
  • The pattern could reinforce a startup pipeline in which senior leaders and technical teams leave incumbent labs together, raising the cost of retaining institutional knowledge for those incumbents.

The trend: This is one data point in the intensifying competition among frontier AI ventures to assemble scarce research and engineering teams around experienced lab leaders.

Discussion

  • @edzitron.com Ed Zitron on bluesky
    Enola Gay Poaches Chairs From Titanic [embedded post]
  • @lmatsakis Louise Matsakis on x
    SCOOP: Mira Murati has poached OpenAI's head of special projects Jonathan Lachman to work at her mysterious new AI startup, @ZoeSchiffer reports https://www.wired.com/...