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…Claude Opus 4.5, a new flagship model excelling in coding, agents, and tooling with a significant 3x price cut compared to Opus 4.1 and improved token efficiency using 76% fewer output tokens. Opus 4.5 achieved a new SOTA on SWE-bench…
…users a declarative interface for specifying pipelines and uses agents to rewrite them. Its design combines logical rewrites tailored to LLM tasks, task-specific validation prompts for evaluating candidate plans, and an optimization…
…makes ordinary weaknesses more expensive for defenders. LLM agents bring a step increase in the number of paths an attacker can test, the speed at which failed paths can be replaced, and the volume of evidence defenders must interpret. What…
…alternative reasoning paths. His work also addresses how agents use software and how to evaluate their reliability. In April 2026, Tencent identified him as its Chief AI Scientist. From OpenAI to Tencent Yao’s personal website, last updated…
…Use: There's a noted 50% increase in token usage when LangChain agents employ tools, attributed to the tools' process of data retrieval and tokenization. While the system prompt is executed once for inference assumptions, not all tools…
Simile AI builds models and agents that simulate human behavior, allowing organizations to test decisions against modeled individuals and populations. Cofounded by Joon Sung Park, Michael Bernstein, Percy Liang and Lainie Yallen, with Park …
…affecting model quality measurement. Discussions on coding agents and developer experience convergence continue in the AI community.
…systems were precisely what they wanted to avoid. Retrieval, agents and focus Eskildsen argues that models can learn to reason about knowledge but still need external systems that preserve it in full fidelity. In the March 12, 2026…
…Building AI-native observability with Logfire, Pydantic AI for agents, and why .ipynb needs to go Latent.Space
…Notion AI prototype with Ivan Zhao to the development of Custom Agents. His work includes redesigning how agents interact with Notion and turning evaluation into a workflow agents can help execute. In an April 2026 interview with Sarah…
…API: @tonic_1 introduced the community to the Transformers Agents API from Hugging Face, noting its experimental nature and outlining the three agent types: HfAgent, LocalAgent, and OpenAiAgent for diverse model use cases. Seeking Clarity…
…the lethal trifecta framework for describing how tool-using agents can expose private information. Datasette and LLM: data tools meet language models Willison announced Datasette’s first public version on November 13, 2017. It exposes…
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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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