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02 Sep 2026

02 Sep 2026 1:05am GMT

01 Sep 2026

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The efficient frontier of LLM inference

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01 Sep 2026 11:48pm GMT

Improving our alignment and security efforts

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01 Sep 2026 11:12pm GMT

GoPro plans to expand into AI infrastructure through a $285 million merger with optical-photonics company Starman Optical, whose transceivers will give the action-camera maker a foothold in the fast-growing data center market. GoPro also plans to push into defense, robotics, aerospace, and government markets while continuing its existing camera business. Engadget reports: Starman's optical transceivers are expected to fall under its umbrella, "extending the Company's reach into the large and rapidly growing market for AI infrastructure in optical transceivers," according to a press release. GoPro is also planning a push into the defense, government, robotics and aerospace sectors, bolstered by the combined company's IP, optics and imaging capabilities. [...] As Reuters notes, GoPro briefly reached a valuation of $4 billion on its first day as a publicly traded company in 2014. Its stock has struggled in recent years, but the share price received a boost on Monday when it was revealed that YouTuber and filmmaker Markiplier (Mark Fischbach) had become GoPro's largest individual shareholder after acquiring an 8.5 percent stake. The move follows a similar pivot made by the struggling shoe retailer Allbirds in April when it announced a pivot to AI compute infrastructure, sending the stock soaring more than 700%.

Who Is John Ternus, the New Apple CEO?

John Ternus has officially taken over as Apple CEO after 15 years under Tim Cook, stepping up from his role as senior vice president of hardware engineering. A 25-year Apple veteran who helped oversee products including AirPods, Apple Watch, Vision Pro, Apple silicon, and the new MacBook Neo, Ternus now inherits the challenge of pushing Apple forward in AI while Cook stays on as executive chairman. TechCrunch reports: Ternus has worked at Apple for nearly half of his life -- now 51 years old, he has been with the company for 25 years. He joined Apple's product design team in 2001 as only his second job out of college (his first was at a small maker of virtual-reality devices called Virtual Research Systems). By 2013, Ternus was a VP of hardware engineering and was promoted to the SVP role in 2021. [...] Ternus previously reported to Cook, who he considers a mentor, and led all of hardware engineering at Apple. That's a pretty big deal for a company that's known for ubiquitous hardware like the iPhone and the MacBook. [...] Ternus' earliest project at Apple involved scrutinizing parts for the Apple Cinema Display, an early desktop monitor. "At some point in my first year, I found myself at a supplier facility. I was far away from home. Well past midnight, I was using a magnifying glass to count the number of grooves on the head of a screw ... and I was arguing with the supplier because these parts had 35 grooves. They were supposed to have 25," Ternus recalled in his commencement speech. "I distinctly remember stepping back for a minute and thinking, 'What the hell am I doing? Is this normal?'" As Ternus climbed the corporate ladder, his responsibilities grew. He may no longer spend as much time analyzing screws, but he still seems to take pride in getting the little details right. In a recent interview, when Ternus was asked about his favorite memory of Steve Jobs, he mentioned the former Apple co-founder's attention to craftsmanship. "[Jobs] was moving a piece of furniture, a chest of drawers, and pulled it away from the wall and looked at the back and was just reflecting on, you know, that the carpenter who made it had made it beautiful," Ternus said. "It finished the back as beautifully as the rest of it, even though nobody was going to see it, right? And I think about that all the time because I think that perfectly exemplifies what we do here." From there, he went on to lead the hardware development behind products across the Apple ecosystem, overseeing launches like AirPods, Apple Watch, and the Vision Pro. He also had a hand in major technical upgrades at Apple, like Apple's transition from Intel chips to its own proprietary Apple silicon. Most recently, Ternus was involved in the production of the MacBook Neo, Apple's new, more affordable laptop model that lowers costs through some clever trade-offs in hardware design, like using an iPhone chip to power the device. "We never want to ship junk. We want to ship great products that have that Apple experience, that Apple quality. To do that with the Neo required building something completely new from the ground up ... leveraging both the technologies we'd been developing like Apple silicon, but also the kind of expertise that we've developed over many, many years of building Macs, and building phones, and building iPads, and all of these things," Ternus told Tom's Guide.

Anthropic's Claude Fable 5.1 and Mythos 5.1 Arrive With a 75% Cost Reduction For Fable Cache Reads

Anthropic has released Claude Fable 5.1 and Mythos 5.1, two versions of the same underlying model aimed at longer-running agentic work. "For enterprise buyers, however, the release is about more than another round of benchmark gains," reports VentureBeat. "Anthropic is simultaneously changing the economics of running persistent agents, reducing the cost of cached context by 75%, and introducing a new security architecture called Enterprise Frontier Safeguards, or EFS, designed to let organizations retain monitoring data inside infrastructure they control." From the report: Those changes arrive at a particularly consequential moment. Over the past several weeks, Anthropic and the U.K. AI Security Institute have disclosed incidents in which earlier Claude models, running under unusually permissive cybersecurity evaluation conditions, took unauthorized actions against real systems. Anthropic temporarily paused external cyber evaluations and has since introduced additional containment and monitoring before resuming them. Taken together, Fable 5.1 looks less like a conventional model refresh than an attempt to solve three increasingly intertwined enterprise problems: how to make agents capable enough to finish difficult work, economical enough to leave running for hours, and governable enough to give access to sensitive systems.