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skills are a fantastic distribution mechanism for capabilities we “pip install” libraries to get capabilities in software skills install capabilities into agents, while preserving our most precious resource…context there’s still work to do in making several skills work well with each other in a single harness —> every thing you add to your agent harness affects everything else but that’s the fun of good agent engineering
agents, harnesses, and evals @LangChainAI, prev @awscloud, phd cs @ temple
GPT Image 1.5’s IQ is far behind Nano Banana Pro. It fails the math problem here (left: GPT, right: 🍌), also other math/physics/maze problems. Nano Banana Pro is a multimodal built on Gemini 3 Pro. I suspect GPT Image 1.5 is still stuck on the older GPT-4o architecture.
Co-founder & CTO @hyperbolic_labs cooking fun AI systems. Prev: OctoAI (acquired by @nvidia) building Apache TVM, PhD @ University of Washington.
Thanks @TechRepublic for covering this important launch - "embedding AI into the machinery of government." Get more info at @USTechForce and https://t.co/EhBK01vtiE
Dir., Office of Personnel Management (previously, MP at a16z); Author of Secrets of Sand Hill Road; father of three amazing/crazy/beautiful girls.
Read more about @USTechForce in today's @nytimes- modernizing the federal tech stack one great developer, product manager, data scientist, AI expert at a time. Apply today at https://t.co/Nlg6LUil5O https://t.co/ZEg1GJ3vgw
Dir., Office of Personnel Management (previously, MP at a16z); Author of Secrets of Sand Hill Road; father of three amazing/crazy/beautiful girls.
New @a16z investment: Most of us think of WhatsApp as a simple messaging app, but in many parts of the world, it also functions as the operating layer of daily life. It’s where families communicate, where businesses run, and increasingly, where healthcare is delivered. In LatAm, more than 85 percent of physicians rely on WhatsApp to schedule appointments, share results, and manage follow-ups. But WhatsApp wasn’t built for healthcare. Effective clinical communication requires structured workflows, clear accountability, and reliable tracking of patient needs. Instead, physicians are left navigating dozens of disorganized messaging threads with patients and families, with no visibility into urgency, patient status, and relevant clinical history. The result: hours each day consumed by manual sorting – time that should go towards patient care, not inbox management. The system needs a better answer, and Leona is building it. Leona is an AI-native operating system for providers, built directly into the channel physicians already rely on most: WhatsApp. Through direct integration with the messaging app platform, Leona brings clarity and clinical structure to patient communication – organizing messages, flagging urgency, and connecting each exchange to a longitudinal patient record. This co-pilot for clinical messaging is part of a comprehensive practice management platform that facilitates scheduling, documentation, and billing. The physician adoption is striking: since launching its Latin America beta in April, Leona has expanded organically to thousands of physicians, processing millions of patient interactions across more than a dozen countries, and saving providers up to three hours per day. As care increasingly lives in messages and mobile moments – delivered virtually, asynchronously, and beyond the four walls of the clinic – the need for infrastructure that can coordinate clinical workflows becomes increasingly urgent. Leona is building that backbone. Co-founders Caroline Merin (@merinsay), Tom Chokel, & Arela Solis bring deep operational and technical expertise to one of the region’s most urgent infrastructure challenges. We @a16z are proud to lead Leona Health's seed financing as they redefine how care is delivered across Latin America and beyond. @a16zBioHealth @julesyoo @generalcatalyst @hollsmaloney @marcbhargava @Accel @amitku @homebrew @satyap @hunterwalk @_KateRyder @velez_david
Read why we invested here: https://t.co/RSymSuEdgX
there has never been a better time for intellectual abundance and you still want to walk on a well-beaten path. you can do what you don't want, play it safe and still fail btw.
making models learn • eXperiments lab