acceler8future

NEW - Anduril is quietly hiring quantum engineers to put quantum computing into its defense systems. The role is Quantum Software Engineer, based in Washington, DC, inside a group called Anduril Labs. The job is to build quantum algorithms for “real-world defense and national security challenges” and integrate them into “existing and new defense systems.” It covers three kinds of machines: quantum-inspired, quantum annealing, and gate-based quantum computers. Applicants must be eligible for a Top Secret/SCI clearance. Base pay is listed at 132,000 to 198,000 dollars. Anduril has done this once in public. In January it tested quantum hybrid missile defense planning with D-Wave and Davidson Technologies. In a simulated a 500 missile attack, it stopped 45 to 60 more missiles and ran at least 10 times faster. This summer, they signed an agreement with IonQ to advance quantum technologies for defense and national security. Now it’s hiring to do that work in-house. The company building America’s autonomous weapons wants quantum inside them. $IONQ $INFQ $QBTS

Incredible Badminton Skills and Amazing Court Action! 🏸🔥

ngl it always feels incredibly nice when elon appreciates our work

BREAKING: Claude Fable 5.2 solves 2 longstanding problems in theoretical physics involving black holes & quantum gravity.

Repeat after me: I shall not invest in any stock when the company is incorporated in Delaware. Check your portfolio now, or regret it soon.

we have a winner for the most absurd AI startup ever this Peter Thiel backed company uses AI robots to stab fish in the brain so they taste better and last up to 3x longer it's called Shinkei and it modernizes a centuries-old Japanese technique dozens of Michelin-star restaurants are already lining up to buy the fish here's how it works: > the problem is when a fish gets caught, it usually just suffocates on the boat > that stress floods the meat with hormones and lactic acid, which hurts the flavor and texture > the old Japanese fix for this was spiking the fish through the brain right after the catch, which stops all that > but doing it by hand is impractical for most American fishing crews > so Shinkei built a fridge-sized robot that sits right on the boat's deck > the crew feeds in a fish and AI identifies the exact species, so it knows exactly where the brain and gills are > the robot then drives the spike through the brain and cuts near the gills in about 7 seconds > the fish goes into an ice slurry so the blood drains out > so the fish doesn't sit there stressing out, and that tasty flavor and texture is preserved example number 5,392,417 of how AI can be applied to literally anything

In my estimate, bandwidth from space is about 5x cheaper than bandwidth from a terrestrial infrastructure. It is a fact today. Nobody would have believed that 10 years ago. Expect the same to happen with compute. The gap won’t be 5x but it will be material (I think 25%)

Tesla used to write out a whole master plan on what their product roadmap looked like Now we’re just trying to piece together Elon tweets to figure out what’s next

$TSLA Starmind 2033: Running Hotter @ 150°C I thought Elon needed the help so I got my bot in it. In orbit, chips can only lose heat by radiating it. Running at 150°C instead of 105°C cuts radiator area by about a third. The design is one Dojo-style tile with nine S1 dies and SRAM on each chip. That means no HBM, so Terafab wouldn't need to make HBM at all. Focusses Terafab and means less packaging complications. The tile sits on an Intel-style glass core with glass wiring, LPKF laser-etched vias with light channels, sintered silver and a diamond lid. Kopin microLEDs send data by light to the next tile. Ajinomoto's build-up film is rated to about 171°C so not quite enough.

🚨 NEW: Oxford Street has seen a 28% spending increase since it was pedestrianised two weeks ago

BOOM 🚨 Nikkei reports that Elon Musk’s Terafab team just flew to Japan and gave chip toolmakers delivery deadlines measured in months, not years 🔥 According to the report, several Terafab procurement officials made a confidential visit to Japan earlier this month. They met with local equipment suppliers, laid out their ordering plans, and started working through the details of moving tools into the fab. Terafab is the joint chip project of Tesla and SpaceX in Texas, and the urgency comes from the target Elon set last month: mass production in the second half of 2028. One Japanese equipment maker told Nikkei that Terafab set a delivery deadline just a few months away. They admitted the request is unreasonable, but said they will do as much as they can to meet it. Elon has openly called his 2028 timeline very aggressive. A leading-edge fab typically takes at least three years to go from planning to mass production, and even after the tools are installed, it takes time to bring defect rates down. He is already pulling every lever he has. On SpaceX’s October 20 earnings call, he thanked ASML and its partners for moving equipment delivery dates earlier. The suppliers are leaning in too. When Elon unveiled Terafab in March, many insiders doubted how serious he was. Now that real orders are taking shape, more suppliers see it as a genuine business opportunity. One supplier executive put it bluntly: the biggest topic in chips right now “isn’t Kioxia or Rapidus. It’s Elon Musk.” And the prize is huge. Terafab reportedly told suppliers this fall that it plans to reach 1 million wafers per month after 2032, which Nikkei notes is 40 times the capacity of the Rapidus plant in Hokkaido. Seven months ago, Terafab was still collecting price quotes and reportedly offering to pay well above them to jump the queue. Now it is handing out delivery dates, and Japan’s toolmakers are doing everything they can to meet them. Whether 2028 holds or slips, the companies that build the machines that make chips are already moving at Elon’s pace.