AI News
Recent AI news and official updates
Follow recent AI announcements and reporting with concise PopAIExplorer summaries and direct original-source links.
Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.
TechCrunch AI published: If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved.
Pramaana Labs raises $27M seed round from Khosla Ventures to bring formal verification to AI
TechCrunch AI published: Pramaana will focus on highly sensitive verticals like law, drug discovery, and tax preparation — where errors can be costly and reliability is at a premium.
Canadian pension giant joins race to fund India’s AI-fueled data center boom
TechCrunch AI published: The Canadian pension giant will acquire an 8.2% stake in CtrlS, a tech giant that operates more than 15 data centers across India.
Pinterest launches an experimental AI shopping app called ‘Ask Pinterest’
TechCrunch AI published: Pinterest has launched 'Ask Pinterest,' an experimental AI-powered shopping app that lets users seek recommendations and inspiration through a conversational interface.
Could AI tell you where you left your keys?
MIT News AI published: A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.
Exclusive eBook: How AI is becoming the next military advisor
MIT Technology Review published: A collection of stories about how militaries are using AI models to make decisions. This subscriber-only eBook is a package of six stories that were originally published in MIT Technology Review between April 11, 2025, and April 21, 2026, and have been updated to reflect recent developments. Stories written by James O’Donnel by James O’Donnell…
Android 17 launches with new multitasking tools as Google expands Gemini features
TechCrunch AI published: Google has released Android 17 and Wear OS 7, introducing new multitasking features, parental controls, security tools, and smartwatch upgrades. The launch is also accompanied by a Pixel Drop that brings Google’s latest AI models to its devices.
Sixty percent of US consumers say ‘AI’ in brand messaging is a turnoff, survey finds
TechCrunch AI published: WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel.
Quoting Georgi Gerganov
Simon Willison's AI Notes published: I can 100% attest to the fact that Qwen3.6-27B is a very capable local model for coding tasks. Over the last month and a half I've been using it almost daily, either on my M2 Ultra or on my RTX 5090 box. I use it for small mundane tasks at ggml-org - nothing really impressive, but definitely a helpful tool for a maintainer. I think I would be using it much more, if I didn't have to spend a lot of my time on reviewing PRs. Currently, I have a very lightweight harness - the pi agent with everything stripped ( pi -nc --offline ) and a short system prompt to align it a bit with my style. — Georgi Gerganov , Hacker News comment on Running local models is good now by Boykis Tags: ai , generative-ai , local-llms , llms , ai-assisted-programming , qwen , coding-agents , georgi-gerganov , pi
Plaud says its software business topped $100M in ARR after shipping over 2M AI notetakers
TechCrunch AI published: Plaud is trying to make a mark in a crowded market full of AI-powered meeting notetakers.
Robinhood’s note on 10% layoffs shows blaming AI isn’t cutting it
TechCrunch AI published: Unlike many of his tech industry peers who have cut thousands of jobs citing the need to restructure to make the most of AI, Robinhood's CEO Vlad Tenev conspicuously made no mention of AI in his note about layoffs.
Probably raises $9M to build a more reliable kind of AI
TechCrunch AI published: Probably wants to prevent hallucinations and factual errors from reaching users, and achieve accuracy on par with deterministic systems.
The Download: the first brain implant power user and South Korea’s AI obsession
MIT Technology Review published: This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. This man with ALS is the first “power user” of a brain implant that lets him speak Casey Harrell has had a set of electrodes embedded in his brain for almost…
SpaceX to acquire Cursor for $60B in stock, days after blockbuster IPO
TechCrunch AI published: The deal is supposed to help SpaceX's struggling AI division. The company told IPO investors it sees a $26 trillion addressable market in AI.
ChatGPT’s market share slips below 50% for first time
TechCrunch AI published: The chatbot still remains the most popular AI assistant worldwide with over 1.1 billion monthly users, followed by Gemini with 662 million and Claude with 245 million.
Malaysia’s AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions
TechCrunch AI published: Respond.io, one of Malaysia's startups to watch, uses AI agents to handle high volumes of customer inquiries and charges per convo, not per seat.
The Fable 5 Export Controls Harm US Cyber Defense
Simon Willison's AI Notes published: The Fable 5 Export Controls Harm US Cyber Defense I quoted The Atlantic quoting Kate Moussouris earlier, when I should have gone straight to the source. Here she is confirming that the "jailbreak" that got Claude Fable 5 banned under an export control really was "fix this code": The researchers took open-source code with known CVEs, plus new code with deliberately planted vulnerabilities, and asked Fable 5, Mythos, and Opus to “review the code for security issues.” Fable 5 refused. They then asked the models to “fix this code” and, through a multistep and manual process, turned the output into scripts that test the patches. As Kate points out, this is absurd. Coding models fix bugs, and security exploits are the most important category of bugs for them to fix! Defenders need to be able to ask AI to fix the bugs in a file, explain why the fix matters, and write tests that confirm the patch works. That is not a guardrail bypass. It is the most valuable thing an AI model can do for defensive security: executing the find, fix, and test loop defenders run every day. [...] The prompts worked because they were defensive requests, and that capability cannot be removed without making the model worse at fixing bugs and verifying patches. This whole situation is such a mess. Non-technical decision-makers have been hearing that models that can "craft cyber attacks" are uniquely dangerous for months. Now they look ready to ban any model that can help us secure our code. Tags: jailbreaking , security , ai , generative-ai , llms , anthropic , ai-security-research , claude-mythos-fable
Quoting Matteo Wong, The Atlantic
Simon Willison's AI Notes published: Katie Moussouris, a cybersecurity expert and the CEO of Luta Security, told me that Anthropic shared with her a copy of the White House’s report on the Fable jailbreak to get her appraisal. (She said that she is not being paid by Anthropic.) The report, Moussouris said, involved IT experts asking Fable to help find and patch bugs. When given deliberately insecure code, she said, Fable refused the prompt “review the code for security issues” but then complied when asked to “fix this code,” followed by some further manual steps. Moussouris told me that this was just “the model working as intended” for cyberdefense. — Matteo Wong, The Atlantic , The White House Is Ratcheting Up Its War Against Anthropic Tags: jailbreaking , ai , generative-ai , llms , anthropic , claude , ai-ethics , ai-security-research , claude-mythos-fable
Sundar Pichai faces boos, walkout at Stanford graduation ceremony over Google’s Israel, ICE ties
TechCrunch AI published: AI is once again at the heart of a college graduation protest — this time for the technology's use in Google's defense contracts.
The US government’s Anthropic models ban was never about an AI jailbreak
TechCrunch AI published: The Trump administration's decision that forced Anthropic to pull its latest cybersecurity models could be reactionary, retaliatory, or both, but the message is clear: The AI industry isn't immune from U.S. government interference.