Giving Agents Computers — Ivan Burazin, Daytona
Latent Space interviews Daytona CEO Ivan Burazin about the company's infrastructure for giving AI agents secure compute environments. The discussion covers Daytona's bare metal sandbox architecture, 850K daily runs, 74% month-over-month growth, and their approach to RL-based evaluations for agent workloads. The piece positions Daytona as part of an emerging 'agent cloud' category providing isolated execution environments for autonomous AI systems.
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The Age of Async Agents — Cognition's Walden Yan & OpenInspect's Cole Murray
A Latent Space podcast episode featuring Cognition's Walden Yan and OpenInspect's Cole Murray discussing the current state of autonomous software engineering agents. Topics include Devin's reported 80% commit rate, spec-to-PR workflows, full VM environments for agents, agent memory, and the emerging pattern of product managers shipping code directly. The conversation covers practical deployment patterns and tooling for async agentic coding workflows.
Import AI 448: AI R&D; ByteDance's CUDA-writing agent; on-device satellite AI
Import AI issue 448 covers several AI/ML developments including an AI R&D theme, ByteDance's agent capable of writing CUDA code, and on-device AI for satellite applications. The newsletter also raises the question of when AI will play a decisive role in military conflict, drawing an analogy to drone warfare in Ukraine. The body provided is a teaser excerpt; full content covers multiple technical and strategic topics.
Physical AI that Moves the World — Applied Intuition CEO & CTO Interview
Latent Space interviews Applied Intuition CEO Qasar Younis and CTO Peter Ludwig about deploying AI in physical vehicles and machinery including mining rigs, drones, trucks, and warships. The discussion covers AI systems operating in adversarial real-world environments. Applied Intuition is a company focused on autonomous vehicle and physical AI tooling that has expanded into defense and industrial sectors.
GitHub's plan for agentic coding — Kyle Daigle interview on Latent Space
Latent Space interviews Kyle Daigle of GitHub about the company's strategy for agentic coding workflows and the platform pressures created by the explosion in AI-assisted development following Copilot. The discussion covers how GitHub is adapting its infrastructure and product direction to support agents operating at scale. This is a strategic signal from one of the most central platforms in the developer AI ecosystem.
Data Points: Perplexity Computer expands, Google Aletheia math agent, DeepSeek chip strategy, Nvidia retrieval pipeline, Stargate cancellation
The Batch's weekly data points roundup covers five significant AI developments: Perplexity expanded its Computer agentic platform to desktop, mobile, and enterprise with new APIs and financial data tools; Google released Aletheia, a Gemini-based math research agent achieving 95.1% on IMO-Proof Bench Advanced (up from 65.7%); DeepSeek withheld pre-release access to its V4 model from Nvidia and AMD while giving domestic Chinese chipmakers early access; Nvidia's NeMo Retriever topped the ViDoRe v3 leaderboard using a ReACT-based agentic retrieval loop; and OpenAI and Oracle cancelled plans to expand the Abilene Stargate campus from 1.2 GW to 2.0 GW due to financing and reliability issues.
Data Intelligence Agents (DIA): Autonomous coding agents for enterprise data integration and SQL generation
Researchers present Data Intelligence Agents (DIA), a production-deployed system of three autonomous coding agents (Data Interpreter, Schema Creator, Query Generator) that automate enterprise data integration workflows. Rather than generating text, the agents produce, execute, validate, and repair concrete artifacts (code, schemas, SQL) with shared memory for experience reuse. The Query Generator is evaluated across seven SQL benchmarks spanning four dialects and task categories, matching or surpassing best published results on all seven. The system is deployed in production for enterprise customers, making it a notable applied research contribution.
DeepLearning.AI launches Context Hub for coding agents; Google releases Nano Banana 2 image generator
Andrew Ng and collaborators released Context Hub (chub), an open CLI tool that provides coding agents with up-to-date API documentation to reduce hallucinated or outdated API calls. Google separately launched Nano Banana 2 (Gemini 3.1 Flash Image), a faster and cheaper image-generation system built on Gemini 3 Flash's mixture-of-experts architecture, priced at roughly half its predecessor and claiming the top spot on Arena.ai's text-to-image leaderboard. The newsletter also references Claude Opus 4.6 as a leading coding model and notes the growth of agent-to-agent social infrastructure (OpenClaw, Moltbook) as context for the tooling need.
Real AI Agents and Real Work
A commentary piece from One Useful Thing examining the practical deployment of AI agents in real work contexts, framing the tension between human-centered work and AI-generated productivity outputs. The piece appears to analyze how autonomous AI agents are changing knowledge work workflows. Published by a Tier 2 source known for applied AI analysis aimed at practitioners and researchers.