Keyword matches words; semantic matches meaning and exact titles or names; hybrid combines both. In keyword mode, use quotation marks for exact phrases. Author matches published credits. Year applies to posts; wiki entries have no author or publication year. You can also use author:"Ada" or type:podcast in non-regex searches.
author:"Ada"
type:podcast
Explore articles, conversations, and the wiki.
Articles, conversations, profiles, and grounded writeups.
Select Apply filters to update results.
Search or filters have changed. The results below still show the previous search; select Search or Apply filters to update them.
200 results · Filters applied
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.
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.
An AI safety evaluation company whose simulated vending businesses grew into physical shops, robotics research, and Pion, a platform for autonomous-business experiments.
Jeremy Howard and Eric Ries’s practical AI R&D company, working on accessible model adaptation, encoder research, and tools for building applications.
The company behind Claude combines model development with alignment and interpretability research, coding tools, agent infrastructure, and evolving safeguards.
The company behind Cursor developed custom coding models and reinforcement-learning agents alongside its editor, expanded toward code review, and announced a completed SpaceX acquisition in August 2026.
The company behind iPhone, iPad, and Mac combines generative AI products, custom silicon, and tools for local machine learning.
A physical AI company that expanded from autonomy-development tools into vehicle operating systems, learned driving systems, and agentic engineering workflows.
An AI benchmarking company comparing model capabilities, inference performance, and cost, with research extending into factual reliability and agentic work.
An AI-agent project created by Toran Bruce Richards that evolved from a standalone autonomous agent into a platform for building, running, and managing automated workflows.
Sign in with Google, or get the newsletter by email.
Loading Google sign-in…
Includes all newsletters: Latent Space (2–3 times a week), AI for Science (2–3 times a month), and AINews (every weekday). Free. Unsubscribe any time.
Uncheck to create an account without newsletter emails.
Discover technical newsletters we recommend, then explore Latent Space membership. Both are optional.
Your newsletter choice is optional. How we use your account data.
Please enable JavaScript to sign in or subscribe. You can still read the articles.