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Another week, another agent. Explorer is Sierra's agent-optimizing agent. Think of of it like ChatGPT deep research, but instead of doing research on the Internet, it's doing research over your customer conversations

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Bret Taylor

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36,938 görüntüleme • 3 ay önce •via X (Twitter)

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OpenAI's "Deep Research" is here. This is their newest agent, capable of doing comprehensive research on any topic. It scored a 25.3% on "Humanity's Last Exam." Available for Pro users.
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OpenAI's "Deep Research" is here. This is their newest agent, capable of doing comprehensive research on any topic. It scored a 25.3% on "Humanity's Last Exam." Available for Pro users.

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We built an auto research loop for DeFi strategy development so you can deploy winning strategies to paper trading and (soon) live execution. Inspired by Andrej Karpathy's auto research, but instead of optimizing LLM training it's optimizing backtests. The agent iterates until it finds strategies that actually work 👇

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What if 8 hours of research could be done in 5 minutes? OpenAI's Deep Research is an agent trained end-to-end w/ RL fine-tuning on my favorite task: internet sleuthing👩‍💻 Isa Fulford & Josh Tobin joined us to share what's under the hood + the future of OpenAI's agent roadmap.
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Claude Code now supports agent teams (in research preview) Instead of a single agent working through a task sequentially, a lead agent can delegate to multiple teammates that work in parallel to research, debug, and build while coordinating with each other. Try it out today by enabling agent teams in your settings.json!
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Claude Code now supports agent teams (in research preview) Instead of a single agent working through a task sequentially, a lead agent can delegate to multiple teammates that work in parallel to research, debug, and build while coordinating with each other. Try it out today by enabling agent teams in your settings.json!

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Introducing deep-research - my own open source implementation of OpenAI's new Deep Research agent. Get the same capability without paying $200. You can even tweak the behavior of the agent with adjustable breadth and depth. Run it for 5 min or 5 hours, it'll auto adjust.
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Introducing deep-research - my own open source implementation of OpenAI's new Deep Research agent. Get the same capability without paying $200. You can even tweak the behavior of the agent with adjustable breadth and depth. Run it for 5 min or 5 hours, it'll auto adjust.

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Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back a detailed report with citations. See it in Codex below 👇

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Our deep research agent is cool, but orchestrating hundreds of research agents at scale is even cooler. This is what we're building aomni - an agent orchestration system that let's you spawn hundreds of agents with a prompt. Available to beta testers today, sign up below.
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Our deep research agent is cool, but orchestrating hundreds of research agents at scale is even cooler. This is what we're building aomni - an agent orchestration system that let's you spawn hundreds of agents with a prompt. Available to beta testers today, sign up below.

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Trade research drudgery for research breakthroughs — @SciSpace_ Agent gives back an average of 1300 hours a year to researchers. SciSpace Agent is the first #AI built exclusively for the scientific research community. Learn more about your new AI co-scientist in this thread.
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A lot of people are calling Hermes Agent the end of OpenClaw. BRUH! It's not... Nous Research trains actual models and they built an agent around that expertise. The local model routing is solid, but the part that matters for your business is that your conversations become fine-tuning data. You can train a model on how you actually work. 00:00 The Problem with Local AI Models 00:25 Introduction to Nous Research 01:04 Cross-Platform Agent Capabilities 01:44 Deep Local Model Integration 02:30 Routing Tasks to Different Models 03:06 Conversations as Training Data 03:50 Hermes Agent vs. OpenClaw 04:15 Future Plans and Series Overview
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You can now connect GitHub repos to deep research in ChatGPT. 🐙 Ask a question and the deep research agent will read and search the repo’s source code and PRs, returning a detailed report with citations. Hit deep research → GitHub to get started.
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Today we are launching our next agent capable of doing work for you independently—deep research. Give it a prompt and ChatGPT will find, analyze & synthesize hundreds of online sources to create a comprehensive report in tens of minutes vs what would take a human many hours.

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First upgrade of PhoenixONE is here - featuring agent thought log. As the research agent is thinking, get a glimpse into the data, insight extraction, and underlying processes. On an average query, Phoenix Crypto Research & Deep Research performs rapid AI contextual search & analysis on 40-50 data sources. On the user growth side - Vietnam Wave 2 coming right up. Meanwhile, Turkey Wave 1 is about to start! $PHB #PhoenixAI #DeepResearch

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Launch Week Day 2: the Consensus Research Agent. Consensus can now complete complex research tasks through multi-step tool calls. One prompt in. A full research workflow out.

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