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…methods. Ethics, Cognition, and Interaction in Prompt Engineering: 'The Sieve,' a three-layer ethical framework for AI, was brought into light by @darthgustav in #prompt-engineering. Further, AI's potential to cater to diverse roles was…
…produce an unfamiliar person’s exact birth date. Historical context may support only an estimate. - Choosing a strategy: GPT-4.5 is described as drawing a tic-tac-toe board and making legal moves while still making strategic mistakes. The…
…will hinge on page migration policy and prefetch heuristics. Context vs existing heterogeneous designs: this mirrors trends like NVIDIA Grace Hopper (GH200)’s coherent CPU↔GPU link and AMD MI300A’s CPU+GPU APU with shared HBM (TB/s-class…
…run. In 2024, he explained that this reduced non-recurring engineering costs and let the team deliver hardware sooner, revise designs, and learn from customer use. He acknowledged the tradeoff: FPGAs might be less efficient or performant…
…bleeding into production agent design: Discussion around “graph engineering” and “loops engineering” was a lighter but related reflection of the same trend. @hwchase17 joked that graph engineering is “basically just LangGraph,” while…
…voice-focused work at ElevenLabs, Schaeff built customer-facing engineering teams at Stripe across Europe and APAC, then worked in developer experience at Supabase. These earlier roles provide context for his application-building tutorials.…
…and exploration. Theme 3. Granite 3.1 Language Models: 128k Context & Open License Granite 3.1 Language Models: 128k context length & Apache 2.0 (Score: 144, Comments: 22): Granite 3.1 Language Models now feature a 128k context length and…
…period explains both XGBoost's origins and the manual GPU engineering that preceded TVM. Earlier work: XGBoost, MXNet and TVM Chen earned his bachelor's and master's degrees at Shanghai Jiao Tong University, in Yong Yu's ACM Honors Class.…
…Workflows: LangChain released a guide on applying six common context engineering approaches using LangGraph, providing both video and code examples in a popular tweet. They also highlighted how to build a self-correcting RAG agent for code …
…aggressively for a ranking. A useful standard should reward engineering that benefits users. The proposed direction is an industry-agreed comparison protocol, drawing on database benchmarking as a precedent, preferably operated…
…our agents and our tools these superpowers to have all the context that I think a lot of engineering teams still just have in9:31 conversations or have in their heads. And our goal is to kind of continue to push that forward so that all the…
…while a sufficiently accurate estimate is already useful for engineering decisions. The starting approximation is C ≈ τt ≈ 6PD: training computation C depends on parameter count P and training-token count D. The same work can be expressed…
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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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