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The New Generation of Republican Leadership: Why JD Vance is the Man to Watch

JD Vance may not command headlines like Donald Trump or Elon Musk, but he is the man to watch if you care about the long game in politics. His vice-presidential assignments seem carefully chosen to position him with an eye toward where America is heading.

A New Era of Leadership

Vance’s remarks on American global leadership in A.I. this week in Paris turned heads with his forceful argument that we need to move beyond looking at A.I. as a threat to be managed to seeing it as an engine of opportunity. He talks about tech like a guy who doesn’t need kids to help him reset his Wi-Fi password, which is saying something for a political leader in our country. This is but one facet of what sets him apart from much of the Washington gerontocracy.

The Future of the Republican Party

If the 2024 presidential election was burdened by the weight of old men fighting for their respective legacies, Trump did something refreshing when he chose the first millennial running mate. As a pollster, I’ve seen voters’ desire for fresh energy and ideas come from a worry that our politics are stagnant and stuck on the status quo.

The Rise of JD Vance

Which is why I was struck this week when Trump was asked directly if he viewed Vance as his successor for 2028, and replied that he did not. He praised Vance for doing a "fantastic job" but said, in his view, it was "too early" to anoint him as the next Republican nominee.

While it is understandable that Trump is focused on the here and now, not what comes after his presidency, it is hardly too early to see the obvious. Vance is the natural inheritor of the movement Trump has built, with a keen grasp on what binds many of Trump’s supporters, especially his younger supporters, to him, both in style and in substance.

The Future of the Republican Party

A decade ago, after back-to-back elections in which Republicans got blown out among young voters, I wrote a book about the party’s problem reaching millennials. I called on Republicans to show up for my generation in the new places where we got information, to care about being culturally relevant, and to connect on forward-looking issues young people actually care about.

The Republican Party’s New Path

Finally, after years of struggling to appeal to younger voters, the Republican Party led by the Trump-Vance ticket nearly fought the Democrats to a draw with voters under age 30. I confess that 10 years ago I never would have guessed that it would be the re-election of Donald Trump bringing all this to fruition. Even as many young Americans still depart sharply from the G.O.P. on many issues, the improvements Republicans have made with younger voters are undeniable in the polling data I see. Republicans say they feel "cool" for the first time in a long time.

Conclusion

The Republican Party of yesteryear is not coming back. There is only forward, and there is only onward to what’s next, and JD Vance seems clearly to be what’s next for Republicans. As a younger American who also happens to be vice president, Vance has been able to fuse parts of Trump’s stylistic approach and policy agenda with a sense of the future that is likely to have appeal and staying power with the next generation of Republican voters.

FAQs

Q: What is JD Vance’s role in the Trump administration?
A: JD Vance is the Vice President of the United States, serving under President Donald Trump.

Q: What are JD Vance’s views on A.I.?
A: Vance believes that A.I. should be seen as an engine of opportunity, not just a threat to be managed.

Q: What is the significance of JD Vance’s youth?
A: Vance’s youth is significant because he is able to fuse parts of Trump’s stylistic approach and policy agenda with a sense of the future that is likely to have appeal and staying power with the next generation of Republican voters.

Q: What is the future of the Republican Party?
A: The future of the Republican Party is uncertain, but JD Vance seems to be well-positioned to lead the party into the future with his unique blend of style and substance.

Elon Musk’s Bid for OpenAI: A Conditional Offer

Background

Elon Musk, the billionaire founder of Tesla and SpaceX, has submitted a filing to the U.S. District Court for the Northern District of California, stating that he will withdraw his $97.4 billion bid for OpenAI’s nonprofit if the company’s board of directors "preserve the charity’s mission" and halt its conversion to a for-profit corporation.

The Offer

The filing, submitted on behalf of Musk, claims that his offer to buy OpenAI’s nonprofit is "serious" and that the nonprofit "must be compensated by what an arms-length buyer will pay for its assets." The offer is conditional, with Musk stating that if OpenAI’s board is prepared to preserve the charity’s mission and stop the conversion to a for-profit corporation, he will withdraw the bid.

Background on the Dispute

The dispute between Musk and OpenAI began on Monday, when Musk, his AI company, xAI, and a group of investors offered to buy the nonprofit that governs OpenAI for $97.4 billion. OpenAI CEO Sam Altman and the company’s board quickly dismissed the unsolicited proposal, stating that the nonprofit is "not for sale." The dispute is not new, as Musk has been a vocal critic of OpenAI’s decision to transition from a nonprofit to a for-profit corporation.

Musk’s Lawsuit Against OpenAI

Musk has also brought a lawsuit against OpenAI and its CEO, alleging that the company engaged in anticompetitive behavior and fraud, among other offenses. The lawsuit seeks to enjoin the company’s conversion to a for-profit corporation.

OpenAI’s Response

In a filing earlier on Wednesday, attorneys for OpenAI called Musk’s move to take control of the company "an improper bid to undermine a competitor" and a contradiction of his position in court that a transfer of the startup’s assets through restructuring would breach its mission as a charitable trust.

Conclusion

The dispute between Musk and OpenAI highlights the complexities of the tech industry, where competition and innovation are often at odds with each other. As the two parties continue to navigate this dispute, it remains to be seen what the outcome will be.

Frequently Asked Questions

Q: What is the dispute between Elon Musk and OpenAI about?
A: The dispute is about Musk’s $97.4 billion bid for OpenAI’s nonprofit, which he has conditional offers to withdraw if the company’s board of directors preserves its mission and halts its conversion to a for-profit corporation.

Q: What is the background of the dispute?
A: The dispute began when Musk, his AI company, xAI, and a group of investors offered to buy the nonprofit that governs OpenAI for $97.4 billion. OpenAI CEO Sam Altman and the company’s board quickly dismissed the unsolicited proposal.

Q: What is the lawsuit between Musk and OpenAI about?
A: The lawsuit is about allegations of anticompetitive behavior and fraud, among other offenses, and seeks to enjoin the company’s conversion to a for-profit corporation.

The Turbulent History of Twitter Under Elon Musk’s Leadership

The Initial Acquisition and Offer

On April 4th, 2022, we learned that Elon Musk had purchased enough shares of Twitter to become its largest individual shareholder. Eventually, he followed up with an unsolicited offer to buy 100 percent of Twitter’s shares for $54.20 each, or about $44 billion. Twitter accepted Musk’s offer, but then things got weird because he tried to cancel the deal.

The Aftermath of the Cancelled Deal

Since then, there have been layoffs, more layoffs, and even more layoffs — plus drama over Substack, unpaid bills, and blue checkmarks. With ad revenue still down from previous years, Elon finally abdicated the role of CEO in May 2023, installing longtime NBCUniversal ad executive Linda Yaccarino.

What’s Happening Inside Twitter Right Now?

Layoffs and Restructuring

The company has undergone a series of layoffs, with many employees losing their jobs. The reasons behind these layoffs are still unclear, but it’s been reported that Musk is trying to cut costs and restructure the company.

The Fate of Substack and Blue Checkmarks

Substack, a popular platform for writers and journalists, has been a topic of debate. Musk has been critical of the platform, and some employees have reported receiving unpaid bills. The future of Substack remains uncertain. Blue checkmarks, a popular feature on Twitter, have also been a subject of controversy, with some users reporting their checkmarks have been removed.

The New CEO and the Road Ahead

In May 2023, Musk stepped down as CEO and was replaced by Linda Yaccarino, a longtime NBCUniversal ad executive. The company’s future remains uncertain, with many questions about its direction and sustainability.

FAQs

Q: What happened to Elon Musk’s offer to buy Twitter?
A: Musk initially offered to buy Twitter for $44 billion, but he later tried to cancel the deal.

Q: Why did Elon Musk try to cancel the deal?
A: The reasons behind Musk’s decision to cancel the deal are unclear, but it’s been reported that he had second thoughts about the acquisition.

Q: What happened to Substack and blue checkmarks?
A: Substack’s future remains uncertain, and blue checkmarks have been a subject of controversy, with some users reporting their checkmarks have been removed.

Q: Who is the new CEO of Twitter?
A: Linda Yaccarino, a longtime NBCUniversal ad executive, was appointed as the new CEO of Twitter in May 2023.

In the future, autonomous drones could be used to shuttle inventory between large warehouses. A drone might fly into a semi-dark structure the size of several football fields, zipping along hundreds of identical aisles before docking at the precise spot where its shipment is needed.

Most of today’s drones would likely struggle to complete this task, since drones typically navigate outdoors using GPS, which doesn’t work in indoor environments. For indoor navigation, some drones employ computer vision or lidar, but both techniques are unreliable in dark environments or rooms with plain walls or repetitive features.

MIT researchers have introduced a new approach that enables a drone to self-localize, or determine its position, in indoor, dark, and low-visibility environments. Self-localization is a key step in autonomous navigation.

The researchers developed a system called MiFly, in which a drone uses radio frequency (RF) waves, reflected by a single tag placed in its environment, to autonomously self-localize.

Because MiFly enables self-localization with only one small tag, which could be affixed to a wall like a sticker, it would be cheaper and easier to implement than systems that require multiple tags. In addition, since the MiFly tag reflects signals sent by the drone, rather than generating its own signal, it can be operated with very low power.

Two off-the-shelf radars mounted on the drone enable it to localize in relation to the tag. Those measurements are fused with data from the drone’s onboard computer, which enables it to estimate its trajectory.

The researchers conducted hundreds of flight experiments with real drones in indoor environments, and found that MiFly consistently localized the drone to within fewer than 7 centimeters.

“As our understanding of perception and computing improves, we often forget about signals that are beyond the visible spectrum. Here, we’ve looked beyond GPS and computer vision to millimeter waves, and by doing so, we’ve opened up new capabilities for drones in indoor environments that were not possible before,” says Fadel Adib, associate professor in the Department of Electrical Engineering and Computer Science, director of the Signal Kinetics group in the MIT Media Lab, and senior author of a paper on MiFly.

Adib is joined on the paper by co-lead authors and research assistants Maisy Lam and Laura Dodds; Aline Eid, a former postdoc who is now an assistant professor at the University of Michigan; and Jimmy Hester, CTO and co-founder of Atheraxon, Inc. The research will be presented at the IEEE Conference on Computer Communications.

Backscattered signals

To enable drones to self-localize within dark, indoor environments, the researchers decided to utilize millimeter wave signals. Millimeter waves, which are commonly used in modern radars and 5G communication systems, work in the dark and can travel through everyday materials like cardboard, plastic, and interior walls.

They set out to create a system that could work with just one tag, so it would be cheaper and easier to implement in commercial environments. To ensure the device remained low power, they designed a backscatter tag that reflects millimeter wave signals sent by a drone’s onboard radar. The drone uses those reflections to self-localize.

But the drone’s radar would receive signals reflected from all over the environment, not just the tag. The researchers surmounted this challenge by employing a technique called modulation. They configured the tag to add a small frequency to the signal it scatters back to the drone.

“Now, the reflections from the surrounding environment come back at one frequency, but the reflections from the tag come back at a different frequency. This allows us to separate the responses and just look at the response from the tag,” Dodds says.

However, with just one tag and one radar, the researchers could only calculate distance measurements. They needed multiple signals to compute the drone’s location.

Rather than using more tags, they added a second radar to the drone, mounting one horizontally and one vertically. The horizontal radar has a horizontal polarization, which means it sends signals horizontally, while the vertical radar would have a vertical polarization.

They incorporated polarization into the tag’s antennas so it could isolate the separate signals sent by each radar.

“Polarized sunglasses receive a certain polarization of light and block out other polarizations. We applied the same concept to millimeter waves,” Lam explains.

In addition, they applied different modulation frequencies to the vertical and horizontal signals, further reducing interference.

Precise location estimation

This dual-polarization and dual-modulation architecture gives the drone’s spatial location. But drones also move at an angle and rotate, so to enable a drone to navigate, it must estimate its position in space with respect to six degrees of freedom — with trajectory data including pitch, yaw, and roll in addition to the usual forward/backward, left/right, and up/down.

“The drone rotation adds a lot of ambiguity to the millimeter wave estimates. This is a big problem because drones rotate quite a bit as they are flying,” Dodds says.

They overcame these challenges by utilizing the drone’s onboard inertial measurement unit, a sensor that measures acceleration as well as changes in altitude and attitude. By fusing this information with the millimeter wave measurements reflected by the tag, they enable MiFly to estimate the full six-degree-of-freedom pose of the drone in only a few milliseconds.

They tested a MiFly-equipped drone in several indoor environments, including their lab, the flight space at MIT, and the dim tunnels beneath the campus buildings. The system achieved high accuracy consistently across all environments, localizing the drone to within 7 centimeters in many experiments.

In addition, the system was nearly as accurate in situations where the tag was blocked from the drone’s view. They achieved reliable localization estimates up to 6 meters from the tag.

That distance could be extended in the future with the use of additional hardware, such as high-power amplifiers, or by improving the radar and antenna design. The researchers also plan to conduct further research by incorporating MiFly into an autonomous navigation system. This could enable a drone to decide where to fly and execute a flight path using millimeter wave technology.

“The infrastructure and localization algorithms we build up for this work are a strong foundation to go on and make them more robust to enable diverse commercial applications,” Lam says.

This research is funded, in part, by the National Science Foundation and the MIT Media Lab.