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…phase using distributed GPU resources worldwide. No additional context or technical details about the model architecture, training parameters, or performance metrics were provided in the post. The model's distributed training approach…
…friction of deploying software. His work spans infrastructure engineering and the decisions behind a deployment platform increasingly designed for AI agents. In his May 2026 Latent Space interview, he described the goal as making production…
…rules or AI models, more info here. LlamaIndex blogged about Context Engineering and Gemini: LlamaIndex published a blog post on Context Engineering and its techniques. They also detailed how to build a research agent using LlamaIndex and…
…assistant began with a broad agent, many tools and retrieved context. Reggio described its difficulty handling expense management, travel, policy and procurement together. Loading more tools or switching the prompt’s context by topic also…
…- see if you can find the old one!Dancing with Giants But AI Engineering is built atop of constantly moving tectonic shifts: ChatGPT launched in November (“The Day the AGI Was Born”) and the API released in March. Before the ChatGPT API,…
…Video, with both authors affiliated with Computer Science and Engineering at SUNY at Buffalo. This earlier collaboration supplies context for his work in computer vision alongside his later research on classification datasets.
…patterns of neuron activations that recur across many different contexts. In turn, any internal state of the model can be represented in terms of a few active features instead of many active neurons. Just as every English word in a…
…Illustrated Guide to AI Agents, covering memory, tools, MCP and context engineering; it describes that project as work in progress. Applying language models at Cohere Alammar joined Cohere a little less than a year before his March 7, 2022 …
…misleading @fchollet. A comprehensive 160+ page survey on Context Engineering was shared by @omarsar0. @francoisfleuret argued that the principle of "denoising"—creating order from chaos by reversing degradation—is a powerful and…
…see the possibility of AI being able to automate scientific and engineering loops.” Dean said Sundar Pichai had tried over several meetings to persuade the founders to stay; Levy reported that the team ultimately chose the fun and freedom…
…“stealth” model Pony Alpha is GLM-5, positioned for “agentic engineering” and long-horizon tasks (Zai_org; OpenRouterAI). Reported scaling: from 355B MoE / 32B active (GLM-4.5) to 744B / 40B active, and pretraining from 23T → 28.5T tokens…
…date the migrations. The same account explains how retrieved context supports analysis: a series of LLM prompts converts a question into JSON for Amplitude's custom query engine. It reports narrowing schemas of 5,000–20,000 elements to…
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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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