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…and Use Cases: Let's get real: is there anybody who's running agents that actually make money? A user is asking if anyone runs LLM agents that make money autonomously, even if it's just a few dollars a day. They are looking for vague…
…context: Kylon launched a workspace for humans and existing agents such as Claude Code and Codex, addressing coordination and review overhead rather than replacing the underlying models (launch, coordination rationale). More efficient…
…AI-powered research assistant system using multiple specialized agents for tasks like data analysis, visualization, and report generation. It's open-source and uses LangGraph. Top ML Papers: @dair_ai listed the top ML papers of the week,…
…design, agentic code review, security, parallel background agents, and software factories. The course also requires students to ship PRs into real OSS repos with support from partners including Browserbase, OpenHands, Semgrep, Milvus,…
…Embodied AI Learning Agile Soccer Skills: DeepMind trained AI agents to demonstrate agile soccer skills like turning, kicking, and chasing a ball using reinforcement learning. The policies transfer to real robots and combine to score goals …
…tasks like language learning and are inquiring about GPT agents for marketing research, as well as easier searching functionalities for GPT Agents. OpenAI ▷ #prompt-engineering (51 messages🔥): Custom GPT Instructions Concern: @gameboy2936 …
…need to summarize... SciPhi.AI Reveals Knowledge Engine for LLM Agents: @emrgnt_cmplxty shares a link to the Sciphi.AI website, a project that proposes to enable LLM agents with seamless access to humanity's key knowledge through web-scale …
…~21 Discords, etc. using LLM aid. (swyx: Thanks Andrej!!!) AI Agents and Demos Cognition Labs' demo of an AI agent solving coding tasks impresses many in the AI community. Deepgram's Aura offers fast text-to-speech and speech-to-text APIs…
…Language Models: We posit that to achieve superhuman agents, future models require superhuman feedback in order to provide an adequate training signal. Current approaches commonly train reward models from human prefer... Eleuther ▷…
…systems already preserve the historical trail that financial agents need, making them a natural foundation for auditable production decision loops.- Fidelity Investments / Sai Krishna Rallabandi: At an asset manager with trillions under…
…chatbot. They were advised to consider using workflows or reAct agents, but no definitive recommendation was given. Torchtune Discord QLoRA & FSDP1 are not compatible: A user discussed whether QLoRA is compatible with FSDP1 for distributed …
…- BCG-X-Official/agentkit: Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain: Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain - BCG-X-Official/agentkit GitHub - synacktraa/intellifs:…
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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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