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[AINews] Evals-based AI Engineering Hamel Husain emphasizes the importance of comprehensive evals in AI product development, highlighting evaluation, debugging, and behavior change as key iterative steps. OpenAI released a voice engine demo…
…for attribution may have little reason to share it. Applied to engineering, the response is optimistic. More human and digital engineers increase the supply of labor, but AI tools may also expand the economic value of problems engineers can…
…model regressions are actually instruction ambiguity, missing context, or poor decomposition, which becomes obvious only after tracing with tools like LangSmith (@ChaiWithJai). This aligns with repeated calls to treat AI engineering like…
…paying for a capable model rather than spending substantial engineering time on routing. Larger usage volumes and experienced staff can make routing more worthwhile. The discussed research projects also benefited from OpenAI credits, so the…
…pricing from @synthwavedd: $4/M input, $20/M output, a 1M context window, and the max-reasoning “Wonder Full” tier exclusive to MuseCode Power/Maximum Usage plans. Two models. @finkd announced the family. He explained that Muse Spark was…
…and tooling the Amp team built—work he describes as “practical engineering and elbow grease.” Changing tools as models change Ball's June 10, 2025 note, Agents for the Agent, describes how model behavior changed the team's approach to…
…reasoning model, featuring an expanded 1 million-token context window and a user-readable chain of thought. The update improves accuracy across science, math, and multimedia benchmarks, surpassing DeepSeek-R1 but trailing OpenAI's o1 in…
…multimodal models, including for browser interactions. A broad engineering stack can serve a narrow application goal: work on infrastructure, pretraining, reinforcement learning, fine-tuning, and products did not require building every…
…domain-specific scripts/resources as runtime Skills—structured context engineering that complements MCP/tools @omarsar0, docs @alexalbert__. Vision and multimodal: real-time worlds, OCR/VLMs, and image/video editing World models in real…
…and computes numbers. His work also centers on forward deployed engineering: organizing customer-facing engineers so that what they learn changes the shared product. Verifiable financial AI In their January 30, 2026 Kepler launch essay,…
…D they just announced: View post on X Walden Yan, coiner of context engineering and Chief Product Officer/Cofounder of Cognition, invited OpenInspect’s Cole Murray to talk about why the Devin is in the Details. Full conversation live on the…
…It includes Code Interpreter, step-by-step prompting, and flow engineering: chaining operations across multiple turns and incorporating feedback. Instead of putting the whole task into one prompt, an engineer organizes a workflow that can…
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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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