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AI NewsNotion just turned its workspace into a hub for AI agents

Notion just turned its workspace into a hub for AI agents

6:42 AM IST · May 14, 2026

Notion just turned its workspace into a hub for AI agents

Productivity software makerNotionis stepping into the agentic era. In a live-streamedproduct announcementon Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multi-step workflows that can pull in data from any database. By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases. In February, Notion first launched itsCustom Agents— AI teammates that handle repetitive tasks, like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over one million agents, the company says. However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure. “It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.” Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure. You don't even have to write the code. The company points out that your preferred AI coding agent can do it for you. The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment. Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases -- and keep the data current. Zhao noted that this means that Notion's users can now "use your Notion database as a sheer canvas to power both your workflows and your agents." Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP -- short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services -- isn't enough. Another addition allows Notion's users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion's own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more. There's an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they've built specifically for their company's needs. Developers and agents interact with Notion's new Developer Platform via theNotion CLI, a command-line tool for developers, available on the company's Business and Enterprise Plans. The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure. It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms. "Any data, any tool, any agent -- that's the big picture for the Notion Developer Platform," Zhao said.

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Research repository ArXiv will ban authors for a year if they let AI do all the work

Research repository ArXiv will ban authors for a year if they let AI do all the work

ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers. Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has becomea source of data on trends in scientific research. ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters toget an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it toraise more money to address issues like AI slop. In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section —postedThursdaythat “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.” Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. Dietterichtold 404 Mediathat this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision. Recent peer-reviewed research has found thatfabricated citations are on the risein biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caughtusing citations that were made up by AI.

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The haves and have nots of the AI gold rush

The haves and have nots of the AI gold rush

The vibes around the current AI boom aren’t great, even in the tech industry, according toa lengthy social media postfrom Menlo Ventures partner Deedy Das. Das described San Francisco as “pretty frenetic right now,” as “the divide in outcomes is the worst I’ve ever seen.” Using a “back of the envelope AI calculation,” he projected that there are around 10,000 people — founders and employees at companies like OpenAI, Anthropic, and Nvidia — that have “hit retirement wealth of well above $20M,” while everyone else worries “they can work their well-paying (but <$500k) job for their whole life and never get there.” Plus, “layoffs are in full swing,” and “many software engineers feel that their life’s skill is no longer useful,” leading to confusion about the best career paths and “a deep malaise about work (and its future),” Das said. This prompted some eye-rolling on X, with entrepreneur Deva Hazarikaarguingthat “most of the people in this post” are “incredibly fortunate and can simply make a choice to be happy.” Another usersuggestedit’s “pretty damn novel & also kinda nasty” that in the current cycle, “the same technology is both the lottery ticket & the thing eating your fallback.” The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen.Over the last 5yrs, a group of ~10k people – employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders – have hit retirement wealth of well above $20M (back of the envelope…

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OpenAI co-founder Greg Brockman reportedly takes charge of product strategy

OpenAI co-founder Greg Brockman reportedly takes charge of product strategy

OpenAI co-founder and president Greg Brockman is officially taking the reins of the company’s product strategy,according to Wired. This seems to solidify an already-existing change, with Brockman overseeing OpenAI’s products on an interim basis while the company’s CEO of AGI deployment Fidji Simo is out on medical leave. Wired also reports that in a staff memo, Brockman described plans to combine ChatGPT and its programming product Codex into a single unified experience. “We’re consolidating our product efforts to execute with maximum focus toward the agentic future, to win across both consumer and enterprise,” Brockman reportedly said. This is just the latest OpenAI shakeup since CEO Sam Altmandeclared a “code red”at the end of last year and said the company needs to refocus on the core ChatGPT experience. Since then, OpenAI hashalted “side quests”including video generator Sora and OpenAI for Science, and it’s beenhighlighting its ambitions to build an AI “super app.” TechCrunch has reached out to OpenAI for comment. The company told Wired that Simo, who remains on medical leave, worked with Brockman on these changes.

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From Panchatantra to Prompts: How AI Platforms are Saving Indian Bedtime Stories

From Panchatantra to Prompts: How AI Platforms are Saving Indian Bedtime Stories

Personalised narration, familiar characters, and educational themes are turning bedtime stories into an interactive experience powered by artificial intelligence.

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