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HomeRoboticsThis Week’s Superior Tech Tales From Across the Internet (By way of...

This Week’s Superior Tech Tales From Across the Internet (By way of November 2)


Google CEO Says Over 25% of New Google Code Is Generated by AI
Benj Edwards | Ars Technica
“We’ve all the time used instruments to construct new instruments, and builders are utilizing AI to proceed that custom. On Tuesday, Google’s CEO revealed that AI programs now generate greater than 1 / 4 of recent code for its merchandise, with human programmers overseeing the computer-generated contributions. The assertion, made throughout Google’s Q3 2024 earnings name, reveals how AI instruments are already having a large impression on software program improvement.”

Waymo Raises $5.6 Billion From Exterior Buyers
Eli Tan | The New York Occasions
“Amid its push to develop its fleet of autonomous robotic taxis and broaden into new cities, Waymo has raised $5.6 billion from outdoors traders, its largest funding spherical so far. …The recent cash comes behind Waymo’s first style of economic success. Its robotic taxis at the moment are finishing over 100,000 rides every week in San Francisco, Phoenix and Los Angeles, double its quantity in Might, and might be working in Austin, Texas, and Atlanta by 2025 by way of a partnership with Uber.”

This Is a Glimpse of the Way forward for AI Robots
Will Knight | Wired
“Bodily Intelligence, also referred to as PI or π, was based earlier this 12 months by a number of outstanding robotics researchers to pursue the brand new robotics method impressed by breakthroughs in AI’s language skills. ‘The quantity of knowledge we’re coaching on is bigger than any robotics mannequin ever made, by a really important margin, to our data,’ says Sergey Levine, a cofounder of Bodily Intelligence and an affiliate professor at UC Berkeley.”

Nuclear Fusion’s New Concept: An Off-the-Shelf Stellarator
Tom Clynes | IEEE Spectrum
“The PPPL crew invented this nuclear-fusion reactor, accomplished final 12 months, utilizing primarily off-the-shelf parts. Its core is a glass vacuum chamber surrounded by a 3D-printed nylon shell that anchors 9,920 meticulously positioned everlasting rare-earth magnets. Sixteen copper-coil electromagnets resembling big slices of pineapple wrap across the shell crosswise.”

Wall Avenue Giants to Make $50 Billion Wager on AI and Energy Tasks
Katherine Blunt | The Wall Avenue Journal
“The funding is a wager on AI’s enormous power wants and the mounting stress it’s placing on the US energy grid. …The businesses mentioned they’re now working along with massive tech firms to speed up their entry to electrical energy, which has grow to be constrained in components of the US as data-center builders compete for energy sources and entry to the grid. ‘The capital wants are enormous, and one of many massive bottlenecks—possibly the bottleneck—is electrical energy availability,’ ECP founder and senior associate Doug Kimmelman mentioned.

The AI Growth Rests on Billions of Tons of Concrete
Ted C. Fishman | IEEE Spectrum
“To the informal observer, the info trade can appear incorporeal, its merchandise conjured out of weightless bits. However as I stand beside the busy development website for DataBank’s ATL4, what impresses me most is the gargantuan quantity of fabric—largely concrete—that offers form to the goliath that may home, safe, energy, and funky the {hardware} of AI. Huge knowledge is massive concrete. And that poses an enormous downside.”

Waymo Explores Utilizing Google’s Gemini to Prepare Its Robotaxis
Andrew J. Hawkins | The Verge
“Waymo has lengthy touted its ties to Google’s DeepMind and its many years of AI analysis as a strategic benefit over its rivals within the autonomous driving area. Now, the Alphabet-owned firm is taking it a step additional by creating a brand new coaching mannequin for its robotaxis constructed on Google’s multimodal massive language mannequin (MLLM) Gemini.”

SpaceX Has Caught a Huge Rocket. So What’s Subsequent?
Eric Berger | Ars Technica
“Right here’s our greatest try to piece collectively the milestones and main targets of the Starship program over the following a number of years earlier than it unlocks the aptitude to land people on the Moon for NASA’s Artemis Program and begins flying demonstration missions to Mars. For enjoyable, we’ve additionally included some estimated dates for every of those milestones. These signify our greatest guesses, and so they’re virtually actually incorrect.”

Meet the First Star System to ‘Clear up’ the 3-Physique Downside
Ethan Siegel | Huge Assume
“It’s straightforward to have planets that orbit round a single star, and in a double star system, you may both orbit shut to at least one star or removed from each members. These configurations are steady, however including a 3rd star into the combination was thought to render the formation of planets unstable, as mutual gravitational interactions would finally power their ejection. That knowledge received thrown out the window with the invention of GW Orionis, which boasts a number of large mud rings and probably much more planets, all orbiting three stars directly.”

Picture Credit score: David Clode on Unsplash

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