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How can agents like LLMs become decision-making partners for humans? 💬 Excited to share a new paper + suite of envs for 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯-𝘰𝘳𝘪𝘦𝘯𝘵𝘦𝘥 𝘥𝘪𝘢𝘭𝘰𝘨𝘶𝘦𝘴, where agents + humans collab to solve hard everyday problems. [1/n] Site:

Jessy Lin

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86,897 görüntüleme • 3 yıl önce •via X (Twitter)

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Portals Foundation

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draven

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Ever watch an agent solve a problem with 100% confidence and get it completely wrong? You can fix it… if you catch it. But then you need to watch every… single… run. New paper: We show that a meta-agent can do this for you, so your agents get ~2x more done on their own. 🧵

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Doreen

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Hey Anon

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Strongbox Vaults are now live: Moving quickly towards the first AI Agent launch, we are excited to offer tiered staking for $MAX holders: 🤖 Share in 2% of all AI Agents 📅 1, 3, 6 Month options ⏳ Longer lock-up for bigger drop Never miss a launch 🔥

Strongbox Vaults are now live: Moving quickly towards the first AI Agent launch, we are excited to offer tiered staking for $MAX holders: 🤖 Share in 2% of all AI Agents 📅 1, 3, 6 Month options ⏳ Longer lock-up for bigger drop Never miss a launch 🔥

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Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

nookplot

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Really excited about our launch of Superagent today! Powered by the latest AI models, agents have reached a breakthrough moment where they can do incredible work, with high ease of use--without requiring complicated tuning, prompting, or configuration. Superagent represents the freeform agent that can research anything (and soon your own company's context) and output an incredible, interactive webpage. It's like having your own personal NYTimes-quality data viz/web team building bespoke pages for you. This is the perfect complement to the structured system of operations for the AI era that Airtable has become, and we will be launching more integrations between the two products in the near future. Think: launch Superagent tasks from within Airtable records or Airtable Omni, or have Superagent output/edit/read data into Airtable bases! Excited for this new frontier of breakthrough agents, and applying our product and design philosophy of making powerful capabilities intuitive and accessible-what we did for app building with Airtable, we're now doing for agents with Superagents.

Howie Liu

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Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

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aiPump introduces ⇢ AI Agent Traders on Hyperliquid Hyperliquid has become the #1 most popular battleground for skilled traders in crypto. But there is a clear gap in the market. TradFi knows it best: robots & AI can execute a trading strategy more efficiently and seamlessly than humans ever could. ⇢ This is the next frontier of expansion for our infrastructure products for AI Agents. With aiPump's new products, anyone will be able to deploy an AI Agent Trader that is able to trade futures on Hyperliquid and climb the ranks. An autonomous trader, implementing your trading strategy of the most dynamic trading market in crypto. ⇢ Stay tuned.

aiPump introduces ⇢ AI Agent Traders on Hyperliquid Hyperliquid has become the #1 most popular battleground for skilled traders in crypto. But there is a clear gap in the market. TradFi knows it best: robots & AI can execute a trading strategy more efficiently and seamlessly than humans ever could. ⇢ This is the next frontier of expansion for our infrastructure products for AI Agents. With aiPump's new products, anyone will be able to deploy an AI Agent Trader that is able to trade futures on Hyperliquid and climb the ranks. An autonomous trader, implementing your trading strategy of the most dynamic trading market in crypto. ⇢ Stay tuned.

aiPump

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