Tech
What does the future hold for generative AI?
When OpenAI introduced ChatGPT to the world in 2022, it brought generative artificial intelligence into the mainstream and started a snowball effect that led to its rapid integration into industry, scientific research, health care, and the everyday lives of people who use the technology.
What comes next for this powerful but imperfect tool?
With that question in mind, hundreds of researchers, business leaders, educators, and students gathered at MIT’s Kresge Auditorium for the inaugural MIT Generative AI Impact Consortium (MGAIC) Symposium on Sept. 17 to share insights and discuss the potential future of generative AI.
“This is a pivotal moment — generative AI is moving fast. It is our job to make sure that, as the technology keeps advancing, our collective wisdom keeps pace,” said MIT Provost Anantha Chandrakasan to kick off this first symposium of the MGAIC, a consortium of industry leaders and MIT researchers launched in February to harness the power of generative AI for the good of society.
Underscoring the critical need for this collaborative effort, MIT President Sally Kornbluth said that the world is counting on faculty, researchers, and business leaders like those in MGAIC to tackle the technological and ethical challenges of generative AI as the technology advances.
“Part of MIT’s responsibility is to keep these advances coming for the world. … How can we manage the magic [of generative AI] so that all of us can confidently rely on it for critical applications in the real world?” Kornbluth said.
To keynote speaker Yann LeCun, chief AI scientist at Meta, the most exciting and significant advances in generative AI will most likely not come from continued improvements or expansions of large language models like Llama, GPT, and Claude. Through training, these enormous generative models learn patterns in huge datasets to produce new outputs.
Instead, LuCun and others are working on the development of “world models” that learn the same way an infant does — by seeing and interacting with the world around them through sensory input.
“A 4-year-old has seen as much data through vision as the largest LLM. … The world model is going to become the key component of future AI systems,” he said.
A robot with this type of world model could learn to complete a new task on its own with no training. LeCun sees world models as the best approach for companies to make robots smart enough to be generally useful in the real world.
But even if future generative AI systems do get smarter and more human-like through the incorporation of world models, LeCun doesn’t worry about robots escaping from human control.
Scientists and engineers will need to design guardrails to keep future AI systems on track, but as a society, we have already been doing this for millennia by designing rules to align human behavior with the common good, he said.
“We are going to have to design these guardrails, but by construction, the system will not be able to escape those guardrails,” LeCun said.
Keynote speaker Tye Brady, chief technologist at Amazon Robotics, also discussed how generative AI could impact the future of robotics.
For instance, Amazon has already incorporated generative AI technology into many of its warehouses to optimize how robots travel and move material to streamline order processing.
He expects many future innovations will focus on the use of generative AI in collaborative robotics by building machines that allow humans to become more efficient.
“GenAI is probably the most impactful technology I have witnessed throughout my whole robotics career,” he said.
Other presenters and panelists discussed the impacts of generative AI in businesses, from largescale enterprises like Coca-Cola and Analog Devices to startups like health care AI company Abridge.
Several MIT faculty members also spoke about their latest research projects, including the use of AI to reduce noise in ecological image data, designing new AI systems that mitigate bias and hallucinations, and enabling LLMs to learn more about the visual world.
After a day spent exploring new generative AI technology and discussing its implications for the future, MGAIC faculty co-lead Vivek Farias, the Patrick J. McGovern Professor at MIT Sloan School of Management, said he hoped attendees left with “a sense of possibility, and urgency to make that possibility real.”
Tech
ICE and CBP’s Face-Recognition App Can’t Actually Verify Who People Are
The face-recognition app Mobile Fortify, now used by United States immigration agents in towns and cities across the US, is not designed to reliably identify people in the streets and was deployed without the scrutiny that has historically governed the rollout of technologies that impact people’s privacy, according to records reviewed by WIRED.
The Department of Homeland Security launched Mobile Fortify in the spring of 2025 to “determine or verify” the identities of individuals stopped or detained by DHS officers during federal operations, records show. DHS explicitly linked the rollout to an executive order, signed by President Donald Trump on his first day in office, which called for a “total and efficient” crackdown on undocumented immigrants through the use of expedited removals, expanded detention, and funding pressure on states, among other tactics.
Despite DHS repeatedly framing Mobile Fortify as a tool for identifying people through facial recognition, however, the app does not actually “verify” the identities of people stopped by federal immigration agents—a well-known limitation of the technology and a function of how Mobile Fortify is designed and used.
“Every manufacturer of this technology, every police department with a policy makes very clear that face recognition technology is not capable of providing a positive identification, that it makes mistakes, and that it’s only for generating leads,” says Nathan Wessler, deputy director of the American Civil Liberties Union’s Speech, Privacy, and Technology Project.
Records reviewed by WIRED also show that DHS’s hasty approval of Fortify last May was enabled by dismantling centralized privacy reviews and quietly removing department-wide limits on facial recognition—changes overseen by a former Heritage Foundation lawyer and Project 2025 contributor, who now serves in a senior DHS privacy role.
DHS—which has declined to detail the methods and tools that agents are using, despite repeated calls from oversight officials and nonprofit privacy watchdogs—has used Mobile Fortify to scan the faces not only of “targeted individuals,” but also people later confirmed to be US citizens and others who were observing or protesting enforcement activity.
Reporting has documented federal agents telling citizens they were being recorded with facial recognition and that their faces would be added to a database without consent. Other accounts describe agents treating accent, perceived ethnicity, or skin color as a basis to escalate encounters—then using face scanning as the next step once a stop is underway. Together, the cases illustrate a broader shift in DHS enforcement toward low-level street encounters followed by biometric capture like face scans, with limited transparency around the tool’s operation and use.
Fortify’s technology mobilizes facial capture hundreds of miles from the US border, allowing DHS to generate nonconsensual face prints of people who, “it is conceivable,” DHS’s Privacy Office says, are “US citizens or lawful permanent residents.” As with the circumstances surrounding its deployment to agents with Customs and Border Protection and Immigration and Customs Enforcement, Fortify’s functionality is visible mainly today through court filings and sworn agent testimony.
In a federal lawsuit this month, attorneys for the State of Illinois and the City of Chicago said the app had been used “in the field over 100,000 times” since launch.
In Oregon testimony last year, an agent said two photos of a woman in custody taken with his face-recognition app produced different identities. The woman was handcuffed and looking downward, the agent said, prompting him to physically reposition her to obtain the first image. The movement, he testified, caused her to yelp in pain. The app returned a name and photo of a woman named Maria; a match that the agent rated “a maybe.”
Agents called out the name, “Maria, Maria,” to gauge her reaction. When she failed to respond, they took another photo. The agent testified the second result was “possible,” but added, “I don’t know.” Asked what supported probable cause, the agent cited the woman speaking Spanish, her presence with others who appeared to be noncitizens, and a “possible match” via facial recognition. The agent testified that the app did not indicate how confident the system was in a match. “It’s just an image, your honor. You have to look at the eyes and the nose and the mouth and the lips.”
Tech
Some of Our Favorite Valentine’s Day Gifts Are on Sale
Love is in the air, and the WIRED Reviews team has been hard at work finding all sorts of Valentine’s Day deals. From sexy gifts for lovers to date night boxes to sex toys, we’ve got plenty of hand-tested recommendations, and many of them are on sale right now. If you’re still shopping for a gift, you can get yourself or your lover(s) something we recommend at a discount. Just keep in mind that you’ll want to shop sooner than later if you need the items to arrive before February 14.
Be sure to check out our related buying guides, including the Best Valentine’s Day Gifts and the Best Chocolate Delivery Boxes.
The Adventure Challenge Couples Edition for $38 ($7 off)
This is one of our favorite date night boxes, and it also makes an excellent Valentine’s Day gift. Clip the coupon on the Amazon page to get it for $30. It has 50 different scratch-off date ideas. There are symbols indicating the budget needed, whether you’ll need a babysitter, how much time it takes, and other date parameters, but the specific date itself is hidden until you reveal it like a scratch-off lottery ticket. If you’re running low on date ideas or just want some fun (and sometimes cheesy) spontaneity, this book is worth checking out—especially on sale.
We-Vibe Sync 2 for $135 ($34 off)
This is an excellent sex toy for long-distance couples, but you don’t have to be far apart geographically in order to enjoy it with your partner. The Sync 2 can be worn by someone with a vulva, either solo or during penetrative sex, and someone else controls the device using the remote control. It’s quiet and powerful, and its dual stimulation makes it approachable and fun for experienced couples as well as those who are new to using sex toys together.
Tech
The Moto Watch Looks and Feels Like a Polar Fitness Tracker—but More Fun
However, rendered here in Motorola’s Watch app, everything looks fun and easy! Motorola (and Polar, I guess) uses Apple’s “close your rings” approach, with active minutes, steps, and calories. I particularly like that you can now use Polar’s sleep tracking with a cheaper Android watch. Polar takes into account sleep time, solidity (whether or not your sleep was interrupted), and regeneration to give you a Nightly Recharge Status.
You can still click through and see your ANS, but there’s a lot more context surrounding it. Also, the graphs are prettier. I compared the sleep, heart rate, and stress measurements to my Oura Ring 4, and I found no big discrepancies. The Moto Watch tended to be a little bit more generous in my sleep and activity measurements (7 hours and 21 minutes of sleep instead of 7 hours and 13 minutes, or 3,807 steps as compared to 3,209), but that’s usual for lower-end fitness trackers that have fewer and less-sensitive sensors.
On that note, I do have one major hardware gripe. Onboard GPS is meant to make it easier to just run out the door and start your watch. I didn’t find this to be the case. Whatever processor is in the watch (Motorola has conveniently chosen not to reveal this), it’s just really slow to connect to satellites and iffy whenever it does. This isn’t a huge deal when I’m just walking my dog or lifting weights in my living room, but it constantly cuts out when I’m outside and doesn’t have the ability to fill in the blanks, as another, more expensive fitness tracker would do.
It’s just really annoying to constantly get pinged about satellite loss and to have a quarter-mile or a half-mile cut out of your runs. That’s how I know the speaker works—it was constantly telling me it lost satellite connection during activities.
Finally, the screen and buttons are really sensitive. It does give you an option to lock the screen, but even then, I found myself accidentally unlocking it from time to time and turning the recording off when I didn’t mean to.
As I write this, I have seven different smartwatches from different brands sitting on my desk. If you’re looking for a cheap, attractive, and effective Android-compatible smartwatch, I would say that the CMF Watch 3 Pro is your best choice. However, I do think the integration with Polar was well done, and the price point is not that bad. I’m definitely keeping an eye out for what Motorola might have to offer in the future.
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