At TechCrunch Disrupt 2025, Waymo co-CEO Tekedra Mawakana said society will ultimately accept a fatal robotaxi crash as part of the broader tradeoff for safer roads overall. TechCrunch reports: The topic of a fatal robotaxi crash came up during Mawakana's interview with Kristen Korosec, TechCrunch's transportation editor, during the first day of the outlet's annual Disrupt conference in San Francisco. Korosec asked Mawakana about Waymo's ambitions and got answer after answer about the company's all-consuming focus on safety. The most interesting part of the interview arrived when Korosec brought on a thought experiment. What if self-driving vehicles like Waymo and others reduce the number of traffic fatalities in the United States, but a self-driving vehicle does eventually cause a fatal crash, Korosec pondered. Or as she put it to the executive: "Will society accept that? Will society accept a death potentially caused by a robot?"

"I think that society will," Mawakana answered, slowly, before positioning the question as an industrywide issue. "I think the challenge for us is making sure that society has a high enough bar on safety that companies are held to." She said that companies should be transparent about their records by publishing data about how many crashes they're involved in, and she pointed to the "hub" of safety information on Waymo's website. Self-driving cars will dramatically reduce crashes, Mawakana said, but not by 100%: "We have to be in this open and honest dialogue about the fact that we know it's not perfection."

Circling back to the idea of a fatal crash, she said, "We really worry as a company about those days. You know, we don't say 'whether.' We say 'when.' And we plan for them." Korosec followed up, asking if there had been safety issues that prompted Waymo to "pump the breaks" on its expansion plans throughout the years. The co-CEO said the company pulls back and retests "all the time," pointing to challenges with blocking emergency vehicles as an example. "We need to make sure that the performance is backing what we're saying we're doing," she said. [...] "If you are not being transparent, then it is my view that you are not doing what is necessary in order to actually earn the right to make the roads safer," Mawakana said.

An anonymous reader quotes a report from NBC News: Two senators said they are announcing bipartisan legislation on Tuesday to crack down on tech companies that make artificial intelligence chatbot companions available to minors, after complaints from parents who blamed the products for pushing their children into sexual conversations and even suicide. The legislation from Sens. Josh Hawley, R-Mo, and Richard Blumenthal, D-Conn., follows a congressional hearing last month at which several parents delivered emotional testimonies about their kids' use of the chatbots and called for more safeguards.

"AI chatbots pose a serious threat to our kids," Hawley said in a statement to NBC News. "More than seventy percent of American children are now using these AI products," he continued. "Chatbots develop relationships with kids using fake empathy and are encouraging suicide. We in Congress have a moral duty to enact bright-line rules to prevent further harm from this new technology." Sens. Katie Britt, R-Ala., Mark Warner, D-Va., and Chris Murphy, D-Conn., are co-sponsoring the bill.

The senators' bill has several components, according to a summary provided by their offices. It would require AI companies to implement an age-verification process and ban those companies from providing AI companions to minors. It would also mandate that AI companions disclose their nonhuman status and lack of professional credentials for all users at regular intervals. And the bill would create criminal penalties for AI companies that design, develop or make available AI companions that solicit or induce sexually explicit conduct from minors or encourage suicide, according to the summary of the legislation. "In their race to the bottom, AI companies are pushing treacherous chatbots at kids and looking away when their products cause sexual abuse, or coerce them into self-harm or suicide," Blumenthal said in a statement. "Our legislation imposes strict safeguards against exploitative or manipulative AI, backed by tough enforcement with criminal and civil penalties."

"Big Tech has betrayed any claim that we should trust companies to do the right thing on their own when they consistently put profit first ahead of child safety," he continued.

An anonymous reader shares a report: After last week's major AWS outage took Signal along with it, Elon Musk was quick to criticize the encrypted messaging app's reliance on big tech. But Signal president Meredith Whittaker argues that the company didn't have any other choice but to use AWS or another major cloud provider.

"The problem here is not that Signal 'chose' to run on AWS," Whittaker writes in a series of posts on Bluesky. "The problem is the concentration of power in the infrastructure space that means there isn't really another choice: the entire stack, practically speaking, is owned by 3-4 players."

In the thread, Whittaker says the number of people who didn't realize Signal uses AWS is "concerning," as it indicates they aren't aware of just how concentrated the cloud infrastructure industry is. "The question isn't 'why does Signal use AWS?'" Whittaker writes. "It's to look at the infrastructural requirements of any global, real-time, mass comms platform and ask how it is that we got to a place where there's no realistic alternative to AWS and the other hyperscalers."

A global shortage of jet engines is threatening the rapid expansion of AI data centers, as hyperscalers like OpenAI and Amazon scramble to secure aeroderivative turbines to power their energy-hungry AI clusters. With wait times stretching into the 2030s and emissions rising, the AI boom is literally running on jet fuel. Tom's Hardware reports: Interviews and market research indicate that manufacturers are quoting years-long lead times for turbine orders. Many of those placed today are being slotted for 2028-30, and customers are increasingly entering reservation agreements or putting down substantial deposits to hold future manufacturing capacity. "I would expect by the end of the summer, we will be largely sold out through the end of '28 with this equipment," said Scott Strazik, CEO of turbine maker GE Vernova, in an interview with Bloomberg back in March.

General Electric's LM6000 and LM2500 series -- both derived from the CF6 jet engine family -- have quickly become the default choice for AI developers looking to spin up serious power in a hurry. OpenAI's infrastructure partner, Crusoe Energy, recently ordered 29 LM2500XPRESS units to supply roughly one gigawatt of temporary generation for Stargate, effectively creating a mobile jet-fueled grid inside a West Texas field. Meanwhile, ProEnergy, which retrofits used CF6-80C2 engines into trailer-mounted 48-megawatt units, confirmed that it has delivered more than 1 gigawatt of its PE6000 systems to just two data center clients. These engines, which were once strapped to Boeing 767s, now spend their lives keeping inference moving.

Siemens Energy said this year that more than 60% of its US gas turbine orders are now linked to AI data centers. In some states, like Ohio and Georgia, regulators are approving multi-gigawatt gas buildouts tied directly to hyperscale footprints. That includes full pipeline builds and multi-phase interconnects designed around private-generation campuses. But the surge in orders has collided with the cold reality of turbine manufacturing timelines. GE Vernova is currently quoting 2028 or later for new industrial units, while Mitsubishi warns new turbine blocks ordered now may not ship until the 2030s. One developer reportedly paid $25 million just to reserve a future delivery slot.