Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination.
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to your own writing—and what real experiments reveal about which watermarks survive copy-paste, editing, and paraphrasing.
Researchers at King's College London and other institutions are examining whether "AI-associated psychosis" should become a clinical diagnosis. By OpenAI's own self-reported numbers, about 560,000 users show signs of psychosis or mania each week. Sycophantic chatbots can create an "echo chamber of one" that reinforces delusions.
Google Research and DeepMind are releasing WeatherNext 3, a weather model that skips traditional physics simulations and learns directly from real-time satellite data. It produces hourly forecasts at up to five-kilometer resolution, five times more detailed than its predecessor. Google says regions in Africa, Latin America, and the Asia-Pacific that have lacked accurate forecasts should see the biggest gains.
I was initially enamored with the beta version of Apple’s revamped smartphone assistant. As the full release approaches, I’ve forgotten Siri AI even exists.
OpenAI developer Thibault Sottiaux calls Astra the company's "biggest competitive advantage" while it wasn't publicly available. Internal use boosted productivity so much that some plans got pulled forward by six months.
Polls show that overwhelming majorities of Americans hate data centers. China makes a perfect scapegoat for tech leaders and their allies—the only problem is a lack of evidence.
Google has released its Lyria 3.5 music model in the Gemini app and via API. The model promises more expressive vocals and richer arrangements and is also available through Flow Music, AI Studio, and Google Vids. Google says it was trained only on licensed content.
Meta's Superintelligence Labs have released Muse Voice Transcribe, a real-time transcription model that processes speech in 80-millisecond chunks, tells speakers apart, and detects sentence boundaries. According to Artificial Analysis, it delivers the most accurate streaming transcription at the lowest price in the market. Meta sees the model as a building block for personal AI agents that listen in on real conversations through devices like its camera glasses.
Abliteration.ai sells access to modified open-weight models with their trained safety mechanisms stripped out, currently based on Z.AI's GLM-5.3. The startup markets the service for offensive cybersecurity and red teaming, but journalists were able to generate malware instructions without much effort. Whether the benefits outweigh the risks remains an open question.
“Google’s interest sends a clear signal: Neutral atom quantum computing has arrived. And while it may not replace superconducting as the leading approach, the technology is primed to be a key player in the race to quantum utility, the threshold where the value of quantum computers finally eclipses the cost of running them.”
“While they wait [for a kidney transplant], patients often need dialysis, in which a person’s blood vessels are hooked up to a machine that removes excess fluid and waste from the bloodstream. Dialysis typically requires four-hour sessions three times a week and can damage blood vessels over time, making the procedure hard on the body. Pig kidneys could offer an alternative until a human organ is available.”
“This singularity isn’t coming at the hands of a higher form of intelligence. Nothing about this technology is inevitable. It is thrilling, terrifying, and ultimately convenient to assign agency and then blame to machines. But today’s chaos was not ‘injected into the system’ by technology, as [Sam] Altman wrote more than a decade ago; the destruction is the system. It’s not God in the machine; it’s us.”
“OpenAI says its forthcoming AI model Astra marks a step up in capabilities such as coding and operating applications on a computer. But an innovative technique that improved the model’s performance also means that the model, and others like it, will reveal less of their ‘thinking,’ making them harder to monitor for signs of bad behavior, according to a person with knowledge of Astra’s development.”
“It’s difficult to engineer microbes that can reliably provide nitrogen for crops while also thriving themselves. A startup called Switch Bioworks is taking a new approach that essentially allows microbes to establish themselves and grow into healthy colonies before shifting into nitrogen-producing mode. ‘We have to reinvent fertilizer,’ says Tim Schnabel, the company’s founder and CEO.”
“Waymo has started to offer its robotaxi service to the public in Denver, San Diego, and Tampa, extending the Alphabet-owned company’s commercial operations to 14 US cities. …The expansion has increased its fleet of self-driving Jaguar I-Pace hatchbacks and a new minivan called the Ojai to more than 4,000 vehicles.”
“Researchers running the LUX-ZEPLIN (LZ) dark matter experiment, an ultra-sensitive particle detector buried inside an abandoned gold mine, have recorded a single particle interaction that can’t be explained by any known background signals from normal matter. This event, described in a preprint set to be published in the journal Physical Review Letters, is arguably the most compelling candidate for a direct dark matter detection to date. But the authors say it’s still too soon to close this case.”
“The physical Cybercab…may be the easiest lift in Tesla’s deeply ambitious plan to shift from a company that builds cars to one entirely focused on autonomous vehicles and robotics. Manufacturing a car isn’t easy. But neither is running a functional autonomous vehicle service, nor building the software to power it. Tesla hasn’t yet proven that it can do either at scale.”
“A nonprofit organization called the Fermi Explorer Mission announced today that it intends to launch a spacecraft to our nearest star system by the end of 2029. It’s a hugely ambitious mission—if all goes well, the spacecraft could take up to 80,000 years to arrive at Alpha Centauri, which is 4.4 light-years away. And the spacecraft will follow a novel trajectory discovered by an AI system developed by Physical Superintelligence (PSI), an AI physics research lab.”
Artificial Analysis has released version 4.2 of its Intelligence Index, likely in response to criticism that its benchmarks failed to capture GPT-6 Astra's actual progress. Astra now scores four points above its predecessor but still trails Anthropic's Claude Fable 5.1.
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