NVIDIA unveils TokenSpeed inference engine for agentic workloads
Today's top 25 insights for PM Builders, ranked by relevance from X, Blogs, YouTube, and LinkedIn.
NVIDIA unveils TokenSpeed inference engine for agentic workloads
#1 đť•Ź
OpenAI partnered with AMD, Broadcom, Intel, Microsoft, and NVIDIA to launch Multipath Reliable Connection (MRC), an open networking protocol that accelerates large AI training clusters by boosting speed and reliability and cutting wasted GPU time.
#2 đź“ť Claude Code Blog
New in Claude Managed Agents: dreaming, outcomes, and multiagent orchestration - Announces new features for Claude Managed Agents focused on dreaming, outcomes, and multi-agent orchestration to help teams build, coordinate, and get agents to production faster. The update is positioned as a product announcement within the Claude Platform and Agents categories.
#3 đť•Ź
NVIDIA AI unveiled TokenSpeed, an inference engine for speed-of-light agentic workloads featuring advanced KV cache management, a safe and efficient scheduler, and a pluggable layered kernel system for multi-silicon support.
#4 đť•Ź
Philipp Schmid: The Gemini API File Search tool now offers true multimodal PDF and image retrieval using `gemini-embedding-2`, handling chunking, embedding, indexing and grounding in one call.
#5 đť•Ź
Google DeepMind partners with EVE Online’s developers to use the game’s complex, player-driven universe as a sandbox for AI agents focused on memory, continual learning, and long-term planning.
#6 đť•Ź
Guillermo Rauch released npx deepsec, which uncovered key edge cases in Khan Academy’s backend and—using a Claude agent team—remediated all high-impact issues in hours instead of weeks.
#7 đť•Ź
Cursor uses earlier Composer models to autoinstall dev environments for RL training, bootstrapping next-gen Composer to tackle tougher problems.
#8 đź“ť Anthropic News
Higher usage limits for Claude and a compute deal with SpaceX - Anthropic announced higher usage limits for Claude and a compute partnership with SpaceX to expand compute capacity and enable greater access and performance for customers.
#9 đť•Ź
LlamaIndex 🦙 launched LlamaParse Mobile, an Expo + React Native iOS/Android app powered by the LlamaParse TypeScript SDK. Just add your API key, snap a photo of any text, and get clean, copyable text in under a minute.
#10 đť•Ź
DeepLearning.AI launched Building Multimodal Data Pipelines, which segments raw video meetings into descriptive time windows and tracks events across sessions, creating structured data for scalable video querying and retrieval.
#11 đť•Ź
Aravind Srinivas introduced Perplexity AI’s new Finance Search in the Agent API, letting developers pull live market and financial data directly into their apps and build agents for real-time finance and market monitoring.
#12 đť•Ź
v0 enhanced Hot Module Replacement to apply code changes mid-generation, enabling real-time fast-refresh without full reloads. This upgrade cuts up to 30 seconds off each iteration.
#13 ▶️
Google's Design.md is a design team in a file
Greg Isenberg
Meng To demonstrates using Google’s open-source design.md file—containing typography, color palettes, spacing, reveal animations and WebGL/3D instructions—attached to AI prompts in tools like Aura and Google Stitch to generate consistent landing pages, slide decks and motion designs.
- design.md is a structured Markdown file with tables, titles, code blocks, typography definitions, color variables, spacing rules, reveal animations and WebGL/3D settings.
- Meng To reported spending nearly $500,000 on AI token costs to build and iterate four different products using AI-driven workflows.
- After his first appearance on Greg Isenberg’s podcast, Meng To’s monthly recurring revenue increased from $3,000 to $15,000.
#14 đť•Ź
Philipp Schmid shows Gemma 4 pushing the Pareto frontier on Code Arena, with Gemma-4-31b at #13 and Gemma-4-26b-a4b at #17 among open models you can run on a MacBook Pro.
#15 in
Greg Isenberg lays out a 2x2 AI-native opportunity map, warning that most builders end up in commoditized or low-pain quadrants.
#16 đť•Ź
Peter Yang shares that Dario saw 80× growth in usage and revenue earlier this year. To sustain that surge, they’re committed to acquiring as much compute as possible.
#17 đť•Ź
NVIDIA AI urges the creation of more agent benchmarks to evaluate performance across diverse tasks and announces a collaboration with Harvey to build legal-domain evaluations.
#18 đź“ť Simon Willison
Live blog: Code w/ Claude 2026 - Live notes from Anthropic’s Code w/ Claude event covering the morning keynote sessions. The post is a live blog capturing highlights and observations from the event.
#19 đť•Ź
DeepLearning.AI launched the free “Build Interactive Agents with Generative UI” course to teach developers how to build AI agents that generate charts, forms, and other interactive UIs on demand.
#20 đť•Ź
OpenAI introduces the ChatGPT Futures Class of 2026—26 students who used ChatGPT over four years to map 1.
#21 đť•Ź
v0 previews now load 50% faster, halving the time it takes to start or open chats.
#22 đť•Ź
Peter Yang shares Dario and Daniela’s playbook: “build for the exponential” by experimenting now on features that only future models can power, especially via agentic and Claude Code workflows, rather than just chatbots.
#23 đť•Ź
Aravind Srinivas highlights that their live financial data platform delivers the highest accuracy with the shortest post-market-close latency, requiring the fewest minutes to guarantee real-time correctness.
#24 in
Shreyas Kumar, Ph.D. guided Texas A&M’s MLS/LLM graduates on navigating career challenges in an AI-powered legal environment.
#25 đź“ť Simon Willison
Vibe coding and agentic engineering are getting closer than I’d like - A reflection on AI coding tools following a podcast conversation, highlighting concerns that vibe coding and agentic engineering are beginning to converge. The author shares highlights from a Heavybit podcast appearance and uneasy realizations about their own workflow.