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ChatGPT for Teens adds age-appropriate safety measures, parental controls, and learning tools designed to steer teens away from harmful content — and from using AI to cheat on their homework.
Perplexity's India revenue rose about 60% after the Airtel offer ended for new users, even as downloads declined.
Secret parameter allowed hackers to steal passwords when a target clicked on a link.
Starting today, AI chats in Firefox's Smart Window AI browsing mode can pull from current web info and show source links in chat responses through a partnership with Exa. Smart Window can also now automatically suggest tab groups and show visual previews of pages you previously visited when you search your browsing history using natural language. I saw a live demo that showed how the Smart Window AI could sort through selected links in your browsing history to pull up "running shoes I looked at last week," and pop up images pulled from the sites browsed previously. The suggested groups of tab...
One of the best things my smart home does is help me care for my pets, and security cameras are particularly useful for keeping track of my many critters. But the barrage of notifications they send often means I miss important ones. So, when Google announced its new Pet Memory feature for Gemini for Home, I thought this could be the perfect solution. Pet Memory promises to teach your Google Home smart home who your pets are, allowing connected Nest cameras to go beyond simply telling you they saw an animal to which animal they saw. It can then use that knowledge to adapt your smart home to yo...
OpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.
ChatGPT for Teens helps teens learn, think critically, and use AI with confidence, with stronger built-in protections, healthy-use features, and additional controls for parents.
OpenAI implements monitoring, alignment, and security safeguards to pace frontier model development amid cyber-critical capability risks.
On August 6th, the Minneapolis Air Route Traffic Control Center lost radar and communications for around two hours. The outage disrupted more than 1,100 flights across the center's 330,000 square mile, nine-state airspace sector. Two days earlier, on August 4th, President Donald Trump departed the White House inside his Marine One military helicopter. As Federal Aviation Administration (FAA) protocol requires, the pilots tried to contact Reagan National Airport to tell them to halt commercial traffic during the flight. But the air traffic controllers never heard the transmission and cleared a...
ChatGPT for Teens includes safeguards and parental controls. | Image: OpenAI OpenAI is introducing a dedicated ChatGPT mode for teenagers, combining existing youth safeguards and new safety features under one roof. The launch comes amid mounting public scrutiny over how AI tools affect younger users, as other platforms implement their own age checks and teen-specific protections. ChatGPT for Teens is "an experience designed to help teens learn, think critically, deepen understanding, and use AI with confidence," OpenAI said in a blog post published Tuesday. Teen mode will automatically apply ...
AI companies like Anthropic and OpenAI regularly publish reports on how people are using products like Claude and ChatGPT, but they only release the data they want us to see, AI researchers say. “There is no independent source to corroborate it,” says Anka Reuel, a Computer Science PhD candidate at the Stanford Trustworthy AI Research…
Nvidia makes another deal, this time with a frontier lab; Anthropic's revenue continues to amaze; and maybe data finally is oil.
The AirPods in the video look like a chunkier version of Apple’s AirPods Pro 3. | Image: Apple / MacRumors We may have our first glimpse of Apple's rumored camera-equipped AirPods, thanks to a video that MacRumors found in the macOS Tahoe 26.7 Release Candidate. The short video clip features a man - who is wearing the new AirPods - holding up a book with the cover displayed, so that Visual Intelligence can see the book title. A Siri voice-over plays over the clip, saying "with Visual Intelligence, your world becomes savable. See something you like? Just ask me to save it for later." Bloomberg...
The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chips they run on. Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon. …
Asana completed 5-year engineering backlog in 2 weeks using OpenAI Codex, reducing cost to $12K from projected multi-year effort.
NVIDIA deploys ChatGPT Work internally to automate manual tasks and standardize workflows across teams.
Qwen 3.8 27B scores 52 on the Artificial Analysis Intelligence Index That's the same score as GPT-5.6 Luna (max), and just one point behind GLM-5.2 (max) and DeepSeek V4 Pro 0813 (max) - that GLM is 753B and that DeepSeek is 1.6B parameters, and Luna is size unknown but presumably a whole lot bigger than 27B. Qwen 3.8 27B is a truly astonishing model . Via Hacker News Tags: ai , generative-ai , llms , qwen , ai-in-china , artificial-analysis
The model maker added $18 billion in annualized revenue in two months.
No GPUs, no Agents, just really, really, really good infra and distribution.
Relay, which offered businesses workflow automation, will stop operating next month. Its CEO and some of its staff plan to get to work on Google Chrome next.
“We're not necessarily building in a dogmatic fashion towards full autonomy.”
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Flock, the police-tech giant known for its network of some 120,000 automatic license plate readers around the US, announced some changes to its platform last Thursday. The updates are meant to prevent…
Amazon’s team uses a T. rex preparing to devour a book as its logo.
Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find... Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find the right-sized model for their needs. The new Nemotron 3.5 Lightning NVFP4 checkpoint, for example, preserves accuracy while unlocking up to 4x faster throughput. It’s compressed down to 22 GB from the 66 GB full precision checkpoint… Source
Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VLA) models increasingly master the individual skills, yet the chain still fails: errors compound beyond the policy's ability to correct, and one subtask silently constrains the next. A promising recipe freezes the VLA and puts an LLM agent in charge: it plans in language, moves in free space with analytic primitives, invokes the VLA only for contact-rich segments, and writes adaptation into language memory. Applied to long horizons, it breaks twice. (1) Competence comes from who...
The development of safe and beneficial AI requires that systems can learn and act in accordance with human preferences. However, explicitly specifying these preferences by hand is often infeasible. Inverse reinforcement learning (IRL) addresses this challenge by inferring preferences, represented as reward functions, from expert behaviour. We introduce Q-based Variational IRL (QVIRL), a novel Bayesian IRL method that recovers a posterior distribution over rewards from expert demonstrations via primarily learning a variational distribution over optimal Q-values. Unlike previous approaches, QVI...
The current best bounds on the matrix multiplication exponent $ω$ are obtained through a refinement of the laser method called combination loss analysis (Duan et al., 2022; Williams et al., 2024; Alman et al., 2025). In this note, we address the optimization problem at the core of this approach and propose several improvements. First, we reformulate the optimization problem allowing us to solve it in a larger setting than was previously possible. Second, we leverage recent advances in machine learning to design a new optimization algorithm for this problem. Finally, we refine the resulting op...
For any convex body $\mathcal{K}\subset\mathbb{R}^{n}$ containing a unit ball, the spectral gap of Hit-and-Run is $Ω(1/(n^2 C_{\mathsf{PI}}))$, where $C_{\mathsf{PI}}$ is the Poincaré constant of the uniform distribution $π$ over $\mathcal{K}$. This implies that Hit-and-Run converges to a distribution within $χ^2$-divergence $\varepsilon$ of the uniform distribution $π$ in $O(n^2 C_{\mathsf{PI}}\log(M/\varepsilon))$ steps from any starting distribution $π_0$ with $M=χ^2(π_{0}\,\|\,π)$, thus refining the known bound of $O(n^2 R^2 \log(M/\varepsilon))$ by Lovász and Vempala (2004) in terms of t...