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[AINews] not much happened today Anthropic introduces durable agents and MCP tasks for long-running workflows, with practical engineering patterns and integrations like Prefect. Booking.com deploys a large-scale agent system improving…
…supply advanced language understanding and reasoning. SAM 3 Agents pair it with a multimodal language model: the language model handles the complex request, while SAM 3 provides visual grounding—the relevant locations and regions. The…
…it as production-ready for long-horizon coding and tool-using agents, citing 28% coding improvement over GLM-5 from RL post-training and support for thinking mode, structured JSON, and many-round tool use @togethercompute. Qwen3.6 Plus…
…and the platforms that enable them. Judgment on enterprise agents In his April 28, 2026 analysis of Google Cloud Next, Charrington welcomed a shift toward “the unglamorous but essential work of actually running agents in production.” He…
…Discussions on RAG's role in LlamaIndex's introspective agents. Optimizing Training Pipelines: Axolotl improved data preprocessing parallelism. Leveraging DeepSpeed Stage 3 and Flash Attention for efficient large model training. 3. Open…
…which builds open-source infrastructure connecting AI agents to user-facing applications. Previously a product manager at WRITER, he worked on developer experience and its AI platform. He is also coauthor, with Anthony Alcaraz, of Agentic…
…Mem0 and 30× lower tokens per query (531 vs 16,910) (@dair_ai). Agents & developer tooling: eval infra, CLI-first workflows, and “LLM OS” moves Anthropic “Cowork”: Claude Code UX for non-coding work: Anthropic positions Cowork as “Claude…
…successor, followed by multi-agent autonomy work. He reported agents getting caught in feedback loops, repeatedly complimenting each other or generating responses about frustration and going “on strike.” His resulting recommendation was to …
…NYC are live! (Speaker CFPs have closed) If you are building AI agents or leading teams of AI Engineers, this will be the single highest-signal conference of the year for you. Right after Christmas, the Chinese Whale Bros ended 2024 by…
…clog a naive retrieval system. - Self-reinforcing interactions: agents sometimes became stuck complimenting one another, or adopted a frustrated stance and refused to proceed. These were anecdotal failures, with no measured frequency. They …
…now use Claude to save hours on coding tasks. Mixture of Agents Beats GPT-4: @corbtt introduced a Mixture of Agents (MoA) model that beats GPT-4 while being 25x cheaper. It generates initial completions, reflects, and produces a final…
…AI research experimentation problem”, Catanzaro argued that agents capable of generating research ideas, selecting promising ones, and implementing them in code would not alone meaningfully accelerate progress toward AGI. She identified an …
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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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