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.
265 results in retrieved candidates · Filters applied
…researchers. Lewis describes engineers shipping agents, domain experts reviewing outputs, and internal teams building and maintaining agents as increasingly common participants in AI development. He presents tooling for these groups as a…
…of how developers connect models to tools, evaluate agents and monitor API reliability. Developers, control and open protocols At OpenAI DevDay in October 2025, Wu described developers and third parties as essential to bringing the benefits…
…users a declarative interface for specifying pipelines and uses agents to rewrite them. Its design combines logical rewrites tailored to LLM tasks, task-specific validation prompts for evaluating candidate plans, and an optimization…
…alternative reasoning paths. His work also addresses how agents use software and how to evaluate their reliability. In April 2026, Tencent identified him as its Chief AI Scientist. From OpenAI to Tencent Yao’s personal website, last updated…
…systems were precisely what they wanted to avoid. Retrieval, agents and focus Eskildsen argues that models can learn to reason about knowledge but still need external systems that preserve it in full fidelity. In the March 12, 2026…
…Notion AI prototype with Ivan Zhao to the development of Custom Agents. His work includes redesigning how agents interact with Notion and turning evaluation into a workflow agents can help execute. In an April 2026 interview with Sarah…
…the lethal trifecta framework for describing how tool-using agents can expose private information. Datasette and LLM: data tools meet language models Willison announced Datasette’s first public version on November 13, 2017. It exposes…
…AI in workplace workflows, organizing engineering around coding agents, and using language models for formal proofs. He uses the handle spolu on GitHub and X. Choosing products over model training In Why Dust?, Polu connects his departure…
…tool calling and MCP, persistent memory, and evaluation of agents and knowledge-graph construction. Developer education and executive alignment In his July 2025 DevRelCon talk, Chin proposed an Engaged Developer Funnel in place of judging…
…inside agent conversations and described bringing local coding agents into a file-based desktop application. Visual collaboration with agents In “Text is not enough”, published March 30, 2026, Ruiz argued that visual adjustments and complex…
…work centers on making software systems easier for coding agents to use and debug. In his Convex writing, he explains Fullstack-Bench, an evaluation of agents implementing application backends, and the team’s MCP server design. His…
…discussions about efficient on-device models and enterprise agents. In its agenda for AWS Startup Day SF 2026, AWS Events identifies her as Head of North America at MiniMax and schedules her to speak on September 28, 2026, about taking an…
Sign in with Google, or get the newsletter by email.
Loading Google sign-in…
A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
Free. Change your preferences or unsubscribe any time.
Uncheck all 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.