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…of a high profile AI PhD, and relate them to questions from AI Engineering. Papers and References made AI grad school: View post on X A new type of information theory: View post on X • Embeddings Text Embeddings Reveal (Almost) As Much As…
…practices, and foundational knowledge needed for product and engineering teams. Agent Interactions: @llama_index showcases LlamaIndex's support for the Agent2Agent (A2A) protocol, allowing AI agents to communicate, exchange information, and…
…rate), of the subset of those relevant to our shortlist of AI Engineering Topics, we found many, many LLM reasoning and agent related papers, which we will cover in the next episode. We will spend this episode with 14 papers covering other …
…about its naming and performance. The technical debate includes context length and response time, noting that Gemini Exp 1114 has a 32k input context length and is perceived as slower, potentially focusing on "thinking" processes.…
…mainloop work. On the RL side, @finbarrtimbers provided a rare engineering postmortem on making OLMo 3’s RL stack asynchronous for a 4× throughput jump. The Apple/local stack and training/inference education ecosystem also kept improving:…
…poetically described SpaceX's rocket catch as not just an engineering victory, but a cultural-spiritual one that stirs a deep yearning for science and objective truth. AI Reddit Recap /r/LocalLlama Recap Theme 1. Advancements in Small…
…Large (398B - 94B active) versions. Key features include 256K context window, multilingual support, and optimized performance for long-context tasks. Claude 3 Updates: @AnthropicAI added LaTeX rendering support for Claude 3, enhancing its…
…field, which can hold an index or pointer to a coroutine context, enhancing state handling. This design allows for effective management of stack-allocated coroutines, a notable engineering decision in modern architecture. Addressing in…
…in Finance, which though is often covered by Forward Deployed Engineering, is being broadly adopted in every subsector of financial services. You can tell it’s a big deal when OpenAI gets ae to put on a suit for their NYC event with…
…LLM Skepticism: @everyoneisgross expresses doubt over Teenage Engineering's cloud hosted LLM, critiquing its potential inability to meet the company's marketing claims. AI Model Performance Gap: @ldj discusses a notable performance gap…
…often referenced when looking at model’s capabilities over long context (see our 1M Llama context window ep for more). It seems that we have broken through the “wall” by scaling “inference time” in two meaningful ways — one with more time…
…Qwen 2.5 Coder Performance, Local Model Usage, Prompt Engineering with Aider, Aider Integration with Various Tools, Model Context Protocol Qwen 2.5 Coder Performance Confusion: Users expressed confusion over the performance of the Qwen 2.5 …
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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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