engineer
Chasing new skills, going back to basics and pushing for collective action: how software engineers are adapting to AI
George Dover poses for a portrait at his home in Beaverton, Oregon. Dover was laid off in 2024. George Dover poses for a portrait at his home in Beaverton, Oregon. Dover was laid off in 2024. Every weekday, Matt, a software engineer, looks forward to his four-hour train commute to Pawling, New York.
Robot Dogs, Teslas, and Rescue Helicopters: The UN AI Summit Was a Lot
Amid live coding sessions and Silicon Valley optimism, the UN's AI for Good summit wrestled with an increasingly urgent question: Can global governance catch up before the technology races beyond its control? Dodge past the live onstage coding sessions, AI refresher courses, an obstacle course of gizmos, round people walking round with glowing green silent-disco-style headphones blaring UN panel discussions into your ears, and you can take a pause for breath. But you might find yourself in the Networking Zone, on a rotating seating contraption called UFOTECH that looks more like the kind of lazy Susan you'd encounter at a Chinese restaurant than the networking bench it is designed to function as. This is the AI for Good summit, organized by the United Nations' International Telecommunication Union (ITU), where representatives from the private and public sectors try to discuss how to harness the technology for the benefit, rather than the detriment, of humanity. While Silicon Valley execs and AI lab leaders are testifying to lawmakers in Washington about the risks of superintelligence, and the White House slaps export controls on chips, the UN AI for Good Summit--now in its 10th year--is focused on much more idealistic goals.
Ford rehires 'veteran' engineers after AI failed to match their skills and experience
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Ford rehires human engineers after AI fails to match quality checks
Ford says it has hired back some human engineers after AI failed to match their skills and experience. In a bid to reap the benefits of the tech, which developers claim can cut costs and boost productivity, the US carmaker adopted it across some parts of its operations including for quality checks. But, according to Bloomberg, external, its executives said the firm has rehired more than 300 veteran quality inspectors in recent years to make up for the pitfalls of automated systems. Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it, Charles Poon, vice president of vehicle hardware engineering, told reporters. Over prior years, we didn't pay as much attention as we should have to the experience of our most knowledgeable engineers that have been with us through many product cycles, he said.
The 400 million machine powering the future of chipmaking
The AI era needs ever faster chips. ASML has a monopoly on the expensive contraptions needed to pattern them. Jos Benschop is climbing a ladder to get to the top of his newest machine. The contraption is the size of a double-decker bus--more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a futuristic V8 engine. When I reach the top with Benschop we're looking down from about 15 feet in the air, with bunny-suited technicians scurrying around below. It's more than 200 cubic meters of tech--"mechatronic devices that hold a few mirrors in a position with atomic precision," he says, gesturing at the gargantuan apparatus. Benschop, a tall and grizzled 66-year-old, has spent over a decade working with his engineers to design this thing, but even so, he'll sometimes look at it and go: Benschop is the executive vice president of technology for ASML, a Dutch company that is the linchpin of the microchip industry. If you want to make powerful chips to power phones or AI, a lithography machine like the one we're standing on is what you need to create increasingly tiny circuitry. Lithography is the art and science of shining light on a silicon wafer to pattern out the transistors, wiring, and other components of the microchips that will be cut from it. The chipmaking field is essentially controlled by only two big players: ASML, which creates the lithography machines, and TSMC, the chipmaking giant. Nine years ago, ASML began selling machines that use a daring new way of patterning chip features.
The Download: AI bottleneck debates, and BCI trials take off
Plus: Amazon workers who backed data center limits face potential termination. A startup claims it broke through a bottleneck that's holding back LLMs AI startup Subquadratic came out of stealth last month with a huge claim: it had solved a mathematical bottleneck that had held back large language models for almost a decade. The purported breakthrough comes from slashing the number of computations transformers need to carry out to generate answers. The result is a faster and cheaper LLM that uses far less energy than any other model on the market. Many experts remained skeptical--but Subquadratic has started to share the receipts. They suggest that their approach might be worth paying attention to.
Amazon is investigating three employees who spoke out against building more AI data centers
They were testifying at a Seattle city council meeting. Five members of Amazon Employees for Climate Justice (AECJ) previously testified at Seattle city council meetings about AI data centers . Now, three of them are apparently under investigation by the company. The AECJ has filed a civil rights complaint against the company on behalf of the three engineers, according to CNBC and GeekWire, accusing Amazon of violating a Seattle law that prohibits companies from discriminating against employees based on their political ideology, race, religion and age. The engineers spoke at Seattle city council hearings over whether to put a pause on AI data center buildouts.
SpaceX IPO Puts Elon Musk's 'Extreme' Ownership to the Test
It's how the company has worked from the start. Brian Manning encountered SpaceX's culture of extreme ownership from day one as an engineer at the rocket maker . After a one-hour onboarding session a decade ago, he got his first assignment: Design a small part by the next day. "The way I looked at it is having very clear responsibility, autonomy, and accountability," says Manning, who aced the task and spent about two years at the company. "Rather than hiring people and telling them how to do it, they give people full ownership to make things happen."