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…Apply here with your info and we will prioritize. Feb 21: AI Engineering → Agent EngineeringAI Engineer events will always have technical AI Engineers as our core audience. Day 1 will be for practical, long form workshops from the leaders…
…labels or within a time window, with a daily volume cap. Engineering judgment and AI business models Shah favors underengineering over overengineering when future requirements are uncertain: technical debt can be repaid, while speculative…
…MLX, 4-bit, and QwQ 32B / MLX, 4-bit. All models were set to a context length of 8192, repeat penalty of 1.1, and temperature of 0.8. They were given a prompt to use HTML5 canvas to create a bouncing ball in a rotating hexagon with a reset …
…difficulty is asking one model to perform challenging, context-heavy work while tracking a separate set of behavioral rules. Adjusting system prompts and repeating the original objective can help partially. Effective injections exploit…
…v0.0.8 dropped major integrations: deep VS Code support (context-aware suggestions, inline diffs), robust MCP CLI (add/remove/list), responsive TUI, reverse search, context compression controls, multi-directory auto-load, and more. Thread…
Runway’s WorldPrompt and the Engineering of Real-Time Worlds GWM Worlds 2 uses persistent context and timed actions to steer a world model generating video and audio in real time. GWM Worlds 2 uses persistent context and timed actions to…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. Yann LeCun and Elon Musk Twitter Debate Convolutional Neural Networks (CNNs) Importance: @ylecun noted CNNs, introduced in 1989, are used in every driving…
…Gemini) acting as players, focusing on capabilities like contextual reasoning, deception, and multi-agent strategy under information asymmetry. Results show DeepSeek and Qwen (even in distilled form) outperforming Claude and Grok; GPT-4.1…
…(Andrew Lampinen, Andrew Lampinen). This is now a practical engineering question, not philosophy: routing, orchestration, tool schemas, and eval harnesses are visibly altering outcomes. Multi-agent patterns are getting productized. There…
…improve coherence and character card adherence. Long Context Handling: Users reported on models' performance with long context lengths, noting that some like Mistral 7B Instruct lose coherence beyond certain limits. Subsequent discussions…
…these illustrate prompt‑injection patterns that exploit social‑engineering and context framing to elicit disallowed outputs from safety‑aligned models, underscoring the brittleness of refusal heuristics and the need for more robust…
…ChatGPT Codex research preview, the A-SWE (automated software engineering) agent roadmap is slowly coming into focus, with more agentic coding tools on the way. Best Practices for using ChatGPT Codex On the livestream, Greg Brockman…
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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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