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…is all he needs," playing on AI terminologies. Historical Context and Misattributions: BeautyInUgly highlights the historical context by mentioning Seppo Linnainmaa's invention of backpropagation in 1970, contrasting it with Schmidhuber's…
…budgets, but raw token count is still the wrong way to evaluate engineering output Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation Why AI coding can…
…generation from mocks, with future plans to integrate backend context. @llama_index highlighted LlamaIndex Workflows, demonstrating LLM-powered processes for tasks like academic paper summarization and PowerPoint slide generation. Property …
…MiMo‑V2.5-Pro and MiMo‑V2.5 under MIT, both with 1M-token context. The Pro model is framed as a complex agent/coding model and the smaller model as a native omni-modal agent. Community summaries from @eliebakouch add useful technical…
…plan from AnthropicAI with significant features like a 500K context window and improved security measures, targeting specific use cases in marketing and engineering. GPU Market Trends: @LeptonAI discussed trends in the H100 GPU pricing…
…a medium-level question from ML leetcode, hardcore prompt engineering, and five years of CUDA experience. AI Reddit Recap Across r/LocalLlama, r/machinelearning, r/openai, r/stablediffusion, r/ArtificialInteligence, /r/LLMDevs,…
…for current frontier agents: they struggle with system-level engineering, dependency management, and broad exploration, underperforming a simple baseline of vLLM/SGLang hyperparameter tuning @maksym_andr. The thread also reports an apparent…
…@omarsar0 stated that Gemini 2.5 Pro is much better at long context understanding compared to other models. @_philschmid indicated that the price-performance of Gemini 2.5 Pro is crazy. ByteDance Seedream 3.0: @ArtificialAnlys announced the…
…of intelligence from your friendly neighborhood AI Engineering podcast. {% if medium == 'web' %} Table of Contents [TOC] {% else %} The Table of Contents and Channel Summaries have been moved to the web version of this email: [{{…
…of approaches: fine-tuning to capture their mannerisms, RAG to contextualize new or fresh topics, and prompt engineering for conditioning the response. LLM Finetuning (Hamel + Dan) ▷ #asia-tz (1 messages): - **erniesg discusses Hainan…
…is a structural tension in experimental science that software engineering has no real equivalent for. In engineering, requirements that change every few weeks are a symptom of poor planning. In research, they are the objective. The purpose …
…Claude Code MCP: An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) throug... MCP (Glama) ▷ #showcase …
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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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