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…engineer, highlighting Devin Search and the importance of context. Cisco's AI agents for customer experience: @LangChainAI shares a talk on how Cisco automated 60% of 1.8 million support cases using LangGraph, LangSmith, and LangGraph…
…on large-scale experimentation for ML research and engineering. The founders planned to use their own systems as their first customers, gaining rapid feedback from that work. Ghemawat’s earlier work at Google provides context for the…
…This has direct and far reaching consequences: from design and engineering to science and robotics.We’ve seen incredible interest in Atlas across many domains: RL environments for robotics; scene generation for therapy and entertainment;…
…while crediting Morcos, Leavitt, and Gaza with the research and engineering needed to build the company. Her relationship with Modal co-founder Erik Bernhardsson developed through technical discussion before an investment. The February 2022…
…turning the conversation towards the use of mythology for AI context. The practice of lorebooks in roleplay was discussed as a tool for prompt engineering, and DPO (Direct Preference Optimization) was mentioned with example wandb links…
…and developer-community organizing. Her résumé lists growth engineering at Cerebras from September 2024 to September 2025, followed by Head of DevX from September 2025 onward. In her technical writing, she argues that effective autonomous…
…launch threads and details from @LangChainAI, @hwchase17, and engineering notes from @Hacubu, @ankush_gola11, @WHinthorn, and a hands-on analysis by @koylanai. OpenEnv: a shared spec and hub for agent/RL environments: Meta PyTorch and…
…emphasizes systems that combine models, tools and company context, with private evaluations that help customers improve their own AI and retain control when changing models. In his Microsoft Build crossover interview with swyx, Sarah Guo…
…(thread). Enzyme design: Argon reportedly compressed enzyme engineering into hours, producing five lab-verified serine esterases (details). Robotics demo: From human gameplay video, Argon modeled the physics, coded its own practice…
…and co-founded Lunchclub. That earlier history supplies context for both his engineering experience and the collaborators he later gathered around AI. Earlier foundations: competitions, Addepar, and Lunchclub Wu won International Olympiad…
…A study of BERT for context-aware neural machine translation - Machine Learning: Context-aware neural machine translation (NMT), which targets at translating sentences with contextual information, has attracted much attention recently. A…
…origins to the newly released Segment Anything Model. The engineering problem runs through both: converting visual recognition into a useful application requires data preparation, a clear task, and a model that can run where it is needed.…
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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.
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