Would even an AI disaster on the scale of Hiroshima be enough to make humankind protect itself? It's clear here in Silicon Valley that AI is advancing faster than humans' ability to control it. H ere in Silicon Valley, the experts think that within the next couple of years we'll see an extraordinary takeoff for artificial intelligence. "Welcome to the foothills of the singularity," as a Stanford University friend greeted me. More prosaically, the imminent breakthrough is described as "recursive self-improvement" - the point at which AI itself trains each successive model of AI, resulting in an exponential development to something which, in many significant respects, is more intelligent than us humans.

Plus: The data center backlash is scrambling the midterm elections. This company's plans to deploy space mirrors could jeopardize the night sky for many A company that plans to beam sunlight from space to Earth on demand might unintentionally brighten the night sky for many more people than intended, according to a new study. Later this year, Reflect Orbital plans to launch a test satellite that will extend an 18-by-18-meter mirror in orbit. The goal is to eventually launch up to 50,000 larger satellites that can reflect sunlight to Earth on demand. Reflect Orbital says the technology could extend sunlight for solar panel charging, emergency response, and military activities. But new research suggests the giant beams could shine as bright as 10,000 full moons and scatter light over tens of kilometers, raising concerns about dark skies, aviation, and wildlife.

When the biotech company Insilico Medicine used its computer models to propose a promising drug for pulmonary fibrosis, it enthusiastically claimed in a press release that the molecule had been "discovered by" its generative AI platform. Insilico leads a pack of companies using AI to rapidly come up with drug ideas humans might never think of, potentially speeding the race to new cures. AI models are now able to generate atomic designs for drugs almost as easily as ChatGPT can write a thank-you note. However, when it came time to file for an all-important patent to protect that new chemical structure, the company made no mention of AI. Instead the patent names five humans, including CEO Alex Zhavoronkov, as the drug's "inventors."

Silicon Valley Doesn't Get Why You Hate AI Technology leaders don't seem to understand society's gripes about AI, but boy, are they posting through it. Silicon Valley is trying to make sense of the growing backlash against artificial intelligence, but so far, it's not going that well. The inconvenient truth is that a significant portion of the world is not optimistic about the technology they're building. But recent attempts to diagnose the root of the problem by CEOs like Meta's Mark Zuckerberg and Anthropic's Dario Amodei indicate they don't understand what's actually driving society's disdain for AI. The rest of popular culture, meanwhile, is finding ways to capitalize on AI hate. Just look at this new commercial for Liquid Death and Garage Beer.

If AI systems are viewed as too advanced to control, the companies that build them can't held liable for the harms they cause. "Runaway" AI, "rogue" agents, and "autonomous" actors--the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these seemingly "superhuman" systems, while a separate faction, led by policy organizations and academic philosophers often aligned with the effective altruism movement, debates whether humanity holds the moral right to govern them at all. Upon closer inspection, they are all calling for the same thing: a view of AI systems as being so advanced and capable that no entity, human or corporate, could possibly be responsible for their actions. While these perspectives seem at odds, they are inadvertently aligned on one goal: making sure the companies that build these systems escape meaningful liability for the harms they already cause. This narrative is gaining traction as AI models become more complex and frontier labs reveal their incapability of containing the agents they've built.

Plus: Republicans fear anger over data centers will cost them in elections. Sometime in the late 2000s, six-year-old Pim Sullivan-Tailyour was sitting in the back of a car in Thailand when she saw a mountain that had been quarried away. It was the first time she recognized that humans could alter the world for the worse. She carried that knowledge with her, later joining an online group for young people worried about climate change. "I realized that I wasn't alone," she says. She was right: global surveys have found that most kids are anxious about the state of the world.

Generative AI-powered market models can help enterprises automate commercial decisions. Each day, an airline transports tens of thousands of passengers on hundreds of flights. Often these are not straightforward point-to-point routes, with passengers requiring multiple connections. The airline can consider potentially hundreds of variables to price each of these journeys: demand, season, time of day, current events, global markets, and competitor airline activity to name just a few. It is a nuanced process that must constantly adapt to the goings on in the wider world. Generative AI-powered market models are emerging as a means of handling complex tasks like this in real time.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series Anthropic's Claude can now send Gmail emails without asking first Claude no longer needs to seek your approval before replying to your emails. Anthropic's AI assistant Claude can now send emails through Gmail without needing a human's approval first. Would you let AI handle your emails? If the masochist in you says yes, well, I guess you're now in luck! Anthropic has just updated its Claude connector for Google Workspace to allow full Gmail inbox management .

Coders Say They Already Found Workarounds to Claude's Invisible Watermarks Anthropic announced last week it would include invisible watermarks in AI-generated content to comply with new EU rules. Within hours, overrides were being touted online. Within four hours of Anthropic confirming that Claude models would globally embed invisible, machine-readable watermarks into any AI-generated content, developer Guillaume Meyer had published his override. His code to remove watermarks from Claude-generated text has since gone viral on GitHub, has been bookmarked more than 20,000 times on X, and has drawn more than 100 contributors, with many more incorporating the technology into their own projects. "Anthropic is embedding watermarks in its Claude texts the issue is practically history just one day later," wrote one AI specialist, accompanied by an image of Meyer breaking out of chains and standing on crumpled EU and Anthropic flags.

Plus: OpenAI has paused some model work over safety concerns. AI's recursive self-improvement might not come so quickly after all The AI industry's boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. But a new study suggests it might take a while to get there. Researchers found that AI agents still can't conduct open-ended AI research--free-form investigations with no clear-cut answers that require the judgment and creativity needed to make genuine breakthroughs. The big question now is how crucial open-ended research is to recursive self-improvement--and whether AI systems can grind their way there without it, simply by improving on narrower tasks. Find out why the results may temper claims that recursive self-improvement is on the horizon .