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Trump’s tech meeting focused on jobs, education, and more
Yesterday’s meeting of the most influential technology leaders and the Trump transition team focused on several topics related to our national economy and its intersection with the technology sector.
YouTube featured a 3-minute or so live stream of Trump’s welcome to his top tier technology guests. The tension was palpable, as many present had not supported a Trump 2016 Presidential bid and now foresee less technology sector spending with Trump in the White House. Moreover, according to Andrew Bartels, a Forrester principal analyst, recent Trump appointments, such as cabinet secretaries, “are explicitly hostile to the mission of their agencies.” With a Trump administration leading the country, Forrester Research has cut back its growth estimate for the U.S. tech market in 2017 to 4.3 percent from 5.1 percent.
The individuals present often held dichotomous views on issues like net neutrality, dissemination of fake news, censorship, and antitrust issues. For example, the president-elect’s vocal stance on immigration, which could limit H1-B skilled worker visas as part of a clampdown on cheaper foreign labor, could create difficulties for companies like Facebook and Microsoft, as a change in their hiring practices would elevate their expenditures and affect their overall profitability.
Conversely, areas of agreement for the group of tech entrepreneurs were corporate tax cuts and repatriation of capital being held abroad, reports CBS News.
One topic at the 90-minute meeting between Trump and the tech CEOs was how to create a U.S. economy with home-grown and high-paying jobs. IBM CEO Ginni Rommety recently wrote an op-ed piece in USA Today discussing their company plans to hire 25,000 people in the U.S. and invest $1 billion over the next four years in “new collar” jobs via employee vocational training. “We are hiring because the nature of work is evolving – and that is also why so many of these jobs remain hard to fill.”
That “evolving” workforce demands new training, which was another important topic of conversation at the Trump tech summit. The U.S. workforce will require employees with skills that are relevant to jobs such as cloud computing technicians and services delivery specialists.
This focus on becoming a reflexive workforce was contained in remarks that Jeff Bezos of Amazon later issued. In a statement, he related how he “shared the view that the administration should make innovation one of its key pillars, which would create a huge number of jobs across the whole country, in all sectors, not just tech — agriculture, infrastructure, manufacturing — everywhere.”
That innovation will be crucial to obtain one Trump administration goal of higher pay across U.S. jobs, as the Bureau of Labor Statistics found that the area of highest job creation at the end of 2015 was home health aides, who earn less than $25,000 per year. That barely exceeds the U.S. poverty level for a family of four.
Those present included Elon Musk; Jeff Bezos of Amazon; Tim Cook of
Apple; Sheryl Sandberg of Facebook; Larry Page and Eric Schmidt of Alphabet, Google’s parent company; and Satya Nadella of Microsoft.
“This is a truly amazing group of people,” the president-elect said in a conciliatory gesture. “There’s nobody like you in the world. In the world! There’s nobody like the people in this room.” The tech leaders smiled politely at the president-elect, recognizing that the tech summit could provide a boost to big-cap technology stocks, which have lagged in an otherwise surprisingly robust post-election rally.
Future Trump administration quarterly meetings with the select tech leaders will be organized by Mr. Trump’s son-in-law and adviser, Jared Kushner.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.