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…content. Users humorously critiqued Apple's prompt engineering, with jokes about "begging" for proper JSON output and debates on YAML vs. JSON efficiency. The discussion highlighted the importance of minifying JSON for token savings. The…
…AA-Omniscience Index from -30 to +3, while keeping a 1M-token context window, native vision input, and relatively cheap pricing—about $483 to run the full Intelligence Index versus $813 for GLM-5.1 and much more for the top Western…
…saw mentions of new models and techniques, like 'slerp' (in the context of OpenHermes-2.5-neural-chat-v3-3-Slerp). Some users also speculate about the Mixtral and StripedHyena models and the potential for further improvements to them via…
…in a foreign country. Most prompt engineers and prompt engineering tooling also tend to focus on pre-production prototyping, but could also benefit from A/B testing their prompts in the real world. In short, AI may need Analytics more than …
…of using NVIDIA 3090 GPUs for better performance. Prompt engineering and managing context effectively are also noted as crucial for optimizing model use. Theme 2. NVIDIA GeForce RTX 4090 with 96GB VRAM for AI Workloads NVIDIA’s GeForce RTX …
…core—a single while(true) loop—with sophistication pushed into context management, tooling, and product instrumentation. The leak reportedly showed a 4-layer context compression stack (HISTORY_SNIP, Microcompact, CONTEXT_COLLAPSE,…
…JSON, YAML, or Markdown for task-specific applications. Prompt Engineering Puzzles: Complex discussions in prompt-engineering cover encounter paradoxes, uncovering model features and issues, and scripting for TikTok and SWOT analysis.…
…and Sahil Chaudhary from Glaive finetuned Llama 3.1 70B (though context is limited) using a technique similar to a one year old paper, Reflection-Tuning: Recycling Data for Better Instruction-Tuning: Matt hasn't yet publicly cited the…
…to the 100th Episode!00:19 Reflecting on the Journey00:47 AI Engineering: The Rise and Impact03:15 Latent Space Live and AI Conferences09:44 The Competitive AI Landscape21:45 Synthetic Data and Future Trends35:53 Creative Writing with…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. Apple's AI Developments and Partnerships Apple Intelligence announced: @adcock_brett noted Apple revealed Apple Intelligence at WWDC, their first AI…
…co-design that keeps engineers in the loop instead of context-switching into ADHD hell, and his bet that the next paradigm shift is continual learning with infinite memory—where models experience something once (a bug, a mistake, a user…
…dropped a link to OLMo by the Allen Institute for AI, without context, but presumably as a hint towards innovative research worth looking into for the engineering minds. LM Studio Discord Summary Long-Term Memory for ChatGPT Sparks…
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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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