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…concerns with phrases like 'email not legally binding' in the context of this controversy. Ragged Attention Masks Essential for Training: Concerns were raised about ragged attention masks needing proper handling to avoid sampling errors…
…would get to very large parameter sizes.” Cerebras began adding engineering resources to weight streaming at the start of 2019. Co-founder Michael James explained the resulting architecture in September 2021. Weight streaming separates…
…risk. AI assistance doesn’t eliminate the need for domain context, codebase familiarity, and reliability engineering practices, so teams optimized for senior-only throughput may see limited gains from juniors even with LLMs. A strategic…
Chaitanya “Chai” Asawa leads engineering for AI clinical decision support at Abridge, a role he announced on January 5, 2026. His work centers on bringing patient context and clinical evidence into clinicians’ workflows. In a March 9 public…
…not just base intelligence. Claude Code and harness engineering context A notable background thread across the dataset is that many engineers now think agent performance is heavily dependent on the harness—system prompts, tools, middleware,…
…is an assistant professor in Computer Science and Electrical Engineering at Stanford University and cofounder of Physical Intelligence, a role she began in 2024. Her Stanford lab, IRIS, studies intelligence through robotic interaction at…
…reported GPT-4 API speed inconsistencies and explored prompt engineering techniques with GPT-3.5 and GPT-4 Turbo. Problems with DALL-E generating typos in images were noted. Extended context window capabilities were discussed, including…
…applications, with more attention to data annotation, feature engineering, and model training; the later book concentrates on foundation-model applications, prompting, context construction, and parameter-efficient finetuning. Huyen presents…
…availability of DeepSeek R1 on X.com, highlighting its large context window. OpenRouter (Alex Atallah) ▷ #app-showcase (2 messages): AI Agent Engineering, Memory-Augmented Agents, LLMs & Foundation Models, Full-Stack & Backend Systems,…
…They had worked together at Google from 2017, with Lattner in engineering and Davis in product. At Modular, Lattner built the technology and engineering team while Davis concentrated on product, customer discovery, and business. They…
…Frontier Intelligence” with 2.8T total parameters, 1M-token context, native multimodal input, Kimi Delta Attention (KDA), and Attention Residuals, and said the model is live on Kimi.com, Kimi Work, Kimi Code, and API, with open weights…
…rather than maintaining the editor itself. Plan and Act, context and connected tools Plan and Act formalized a workflow users had developed themselves. According to Rizwan, users were asking Cline to write Markdown architecture plans before…
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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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