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Trump’s tech meeting focused on jobs, education, and more

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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.”

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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.

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Future Trump administration quarterly meetings with the select tech leaders will be organized by Mr. Trump’s son-­in-­law and adviser, Jared Kushner.

 

Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Tesla Model 3 gets perfect 5-star Euro NCAP safety rating

Tesla prides itself on producing some of the safest vehicles on the road today.

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Credit: Tesla Singapore/X

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.

Standout Safety Features

As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.

The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.

Standout Safety Features

In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.

“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place. 

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“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.

Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.

Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd

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USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards

The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

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Credit: Elon Musk/X

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.

Duffy’s Giga Texas Visit

As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X. 

He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”

National Standard

While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”

Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.

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Tesla posts Optimus’ most impressive video demonstration yet

The humanoid robot was able to complete all the tasks through a single neural network.

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Credit: Tesla Optimus/X

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.

Optimus’ Newest Demonstration

In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.

What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.

Tesla VP for Optimus Shares Insight

In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.

“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).

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“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.

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