Google CEO Says Over 25% of Latest Google Code Is Generated by AI
Benj Edwards | Ars Technica
“We’ve all the time used tools to construct recent tools, and developers are using AI to proceed that tradition. On Tuesday, Google’s CEO revealed that AI systems now generate greater than 1 / 4 of recent code for its products, with human programmers overseeing the computer-generated contributions. The statement, made during Google’s Q3 2024 earnings call, shows how AI tools are already having a large impact on software development.”
Waymo Raises $5.6 Billion From Outside Investors
Eli Tan | The Latest York Times
“Amid its push to grow its fleet of autonomous robot taxis and expand into recent cities, Waymo has raised $5.6 billion from outside investors, its largest funding round to this point. …The fresh money comes behind Waymo’s first taste of economic success. Its robot taxis at the moment are completing over 100,000 rides each week in San Francisco, Phoenix and Los Angeles, double its number in May, and might be operating in Austin, Texas, and Atlanta by 2025 through a partnership with Uber.”
This Is a Glimpse of the Way forward for AI Robots
Will Knight | Wired
“Physical Intelligence, also referred to as PI or π, was founded earlier this 12 months by several distinguished robotics researchers to pursue the brand new robotics approach inspired by breakthroughs in AI’s language abilities. ‘The quantity of knowledge we’re training on is larger than any robotics model ever made, by a really significant margin, to our knowledge,’ says Sergey Levine, a cofounder of Physical Intelligence and an associate professor at UC Berkeley.”
Tom Clynes | IEEE Spectrum
“The PPPL team invented this nuclear-fusion reactor, accomplished last 12 months, using mainly off-the-shelf components. Its core is a glass vacuum chamber surrounded by a 3D-printed nylon shell that anchors 9,920 meticulously placed everlasting rare-earth magnets. Sixteen copper-coil electromagnets resembling giant slices of pineapple wrap across the shell crosswise.”
Wall Street Giants to Make $50 Billion Bet on AI and Power Projects
Katherine Blunt | The Wall Street Journal
“The investment is a bet on AI’s huge energy needs and the mounting stress it’s putting on the US power grid. …The businesses said they at the moment are working along with large tech corporations to speed up their access to electricity, which has develop into constrained in parts of the US as data-center developers compete for power sources and access to the grid. ‘The capital needs are huge, and one in all the large bottlenecks—possibly the bottleneck—is electricity availability,’ ECP founder and senior partner Doug Kimmelman said.
Ted C. Fishman | IEEE Spectrum
“To the casual observer, the info industry can seem incorporeal, its products conjured out of weightless bits. But as I stand beside the busy construction site for DataBank’s ATL4, what impresses me most is the gargantuan amount of fabric—mostly concrete—that provides shape to the goliath that may house, secure, power, and funky the hardware of AI. Big data is big concrete. And that poses an enormous problem.”
Waymo Explores Using Google’s Gemini to Train Its Robotaxis
Andrew J. Hawkins | The Verge
“Waymo has long touted its ties to Google’s DeepMind and its many years of AI research as a strategic advantage over its rivals within the autonomous driving space. Now, the Alphabet-owned company is taking it a step further by developing a brand new training model for its robotaxis built on Google’s multimodal large language model (MLLM) Gemini.”
SpaceX Has Caught a Massive Rocket. So What’s Next?
Eric Berger | Ars Technica
“Here’s our greatest try to piece together the milestones and major goals of the Starship program over the subsequent several years before it unlocks the aptitude to land humans on the Moon for NASA’s Artemis Program and begins flying demonstration missions to Mars. For fun, we’ve also included some estimated dates for every of those milestones. These represent our greatest guesses, they usually’re almost actually incorrect.”
Meet the First Star System to ‘Solve’ the 3-Body Problem
Ethan Siegel | Big Think
“It’s easy to have planets that orbit around a single star, and in a double star system, you possibly can either orbit close to at least one star or removed from each members. These configurations are stable, but adding a 3rd star into the combo was thought to render the formation of planets unstable, as mutual gravitational interactions would eventually force their ejection. That wisdom got thrown out the window with the invention of GW Orionis, which boasts multiple massive dust rings and possibly much more planets, all orbiting three stars directly.”
