Lior⚡
@LiorOnAI
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Covering the latest in AI development • ML Eng since 2017 • Building @AlphaSignalAI into the #1 source of dev news in AI → At 240k readers.
SF (let’s hang)
Joined November 2012
You can build full AI products with drag-and-drop. No DevOps. No infra setup. I gave Zerve a task: “Summarize LLM training advancements and techniques.”. 1. It pulled recent papers.2. tracked GitHub repo changes.3. filtered for relevance.4. ran summarization.5. scheduled the
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Features.💬 Real-time agentic chat with streaming.🔄 Bi-directional state synchronization.🧩 Generative UI and structured messages.🧠 Real-time context enrichment.🛠️ Frontend tool integration.🧑💻 Human-in-the-loop collaboration.
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AI agents can finally talk to your frontend!. The new AG-UI protocol lets your agents stream messages, sync state, call tools, and receive user input, live in the UI. It fills a critical gap in the agent ecosystem:.▸ MCP – agents to tools.▸ A2A – agents to agents.▸ AG-UI –
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Agents can now search and scrape the web with a single API call. Firecrawl's /search endpoint returns complete LLM-ready content for every search result. HTML, Markdown, or JSON. Works via API, MCP for Cursor, Zapier and n8n.
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A new deep research agent just beat OpenAI on every benchmark. > 3x more citations.> Generates PDF reports from 500+ sources.> Fully traceable, auditable output.> Connects to Crunchbase, Drive, and more. Can be used for M&A, due diligence, market and tech landscapes analysis.
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Fully local Manus AI. No APIs, no $200 monthly bills. An autonomous agent that thinks, browses the web, writes code, and plans. Keeps all data on your device.
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Voice just keeps getting better and better. Hume’s progress on tonality and emotionality is super impressive. We’ll hit General Voice Intelligence (GVI) years before AGI.
Meet EVI 3, another step toward general voice intelligence. EVI 3 is a speech-language model that can understand and generate any human voice, not just a handful of speakers. With this broader voice intelligence comes greater expressiveness and a deeper understanding of tune,
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Let me know what you think, I can't wait to see what this will look like in 3-4 years.
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Droids unpack complex systems and return polished, professional-quality documents like deep-dives and RFC-ready reports.
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When production fails, Droids trace the root cause, post the RCA, and open a PR before the pager cools.
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First, use this link to get 10M tokens: . They call their Agents "Droids". Droids pick up tasks, plan the solution, generate tests, and deliver merge-ready pull requests.
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Wow. Sequoia just backed a startup going after Devin, Cursor, and OpenAI Codex. Their agents can read your entire codebase, write, test, fix, and merge PRs automatically. It’s like having a fully autonomous software engineer by your side, 24/7. Examples 👇
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