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…broadly reject the idea that coding agents eliminate senior engineering judgment: one incident-response example describes Claude giving misleading advice because it lacked deep system context, including domain-specific naming where an SMS…
…on machine-learning design while reducing distributed-system engineering and model-parallel tuning. Hestness, Dey, and Cerebras cofounder Sean Lie jointly presented openness as part of the project's purpose. They argued for models that were…
…V4.1 Flash, alongside production-serving details that make the engineering report as important as the code.The release covers the inference engine and API-processing layer. DeepInfer supports distributed inference, speculative decoding, SWA…
…AI literacy from universal coding education or specialist engineering. In 2024, she left the question of whether everyone should learn coding unresolved. In August 2026, she advocated AI bilingualism, combining professional knowledge with…
…brought to web portals 20 years ago?" (73,728 impressions) Engineering & ML Techniques @svpino: "10 techniques every machine learning engineer should know: 1. Active learning 2. Distributed training 3. Error analysis 4. Invariance tests 5. …
…walks potentially more consequential than simply enlarging context windows. Research and systems work McGrath described post-training infrastructure as having more moving parts than pre-training: tasks, grading setups and external partners …
…critiques the emerging job title of 'prompt engineer' in the context of AI and machine learning. The term 'sloperator' is a play on words, suggesting that the role is less about engineering and more about operating or managing 'slop'—a…
…experience, while qualifying that this varied by model. Longer context windows changed the evaluation problem. Byun explained that when a system first retrieves a small passage, it already knows which text was supplied to answer a question.…
…Well, that’s a start, but maybe this prompt is not enough context to the LLM to understand “refactor” properly. After some prompt engineering, maybe you discover that a better prompt is “You are a software developer. You will be given a…
…useful through connected creative workflows, personal context, and simpler software creation. Creative AI: experimentation and investment Moore has demonstrated creative tools herself. In a January 23, 2025 post embedded in the Krea…
…Cohere AI in multilingual projects. Innovative Prompt Engineering Techniques: Members exchanged strategies for enhancing prompt engineering, including the use of YAML structures and markdown formatting to improve prompt clarity and context.…
…2026. His work sits at the intersection of AI research and the engineering needed to make generated worlds respond in real time. Engineering interactive worlds In a Latent Space interview, Sindi described WorldPrompt, Runway’s way to…
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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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