Seasonal COVID shots may no longer be possible under Trump admin

Under President Trump, the Food and Drug Administration may no longer approve seasonal COVID-19 vaccines updated for the virus variants circulating that year, according to recent statements by Trump administration officials.

Since the acute phase of the pandemic, vaccine manufacturers have been subtly updating COVID-19 shots annually to precisely target the molecular signatures of the newest virus variants, which continually evolve to evade our immune responses. So far, the FDA has treated these tweaked vaccines the same way it treats seasonal flu shots, which have long been updated annually to match currently circulating strains of flu viruses.

The FDA does not consider seasonal flu shots brand-new vaccines. Rather, they’re just slightly altered versions of the approved vaccines. As such, the regulator does not require companies to conduct lengthy, expensive vaccine trials to prove that each slightly changed version is safe and effective. If they did, generating annual vaccines would be virtually impossible. Each year, from late February to early March, the FDA, the Centers for Disease Control and Prevention, and the World Health Organization direct flu shot makers on what tweaks they should make to shots for the upcoming flu season. That gives manufacturers just enough time to develop tweaks and start manufacturing massive supplies of doses in time for the start of the flu season.

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OpenAI Upgrades ChatGPT Search With Shopping Features

OpenAI has upgraded ChatGPT’s search tool to include shopping features, allowing users to receive personalized product recommendations, view images and reviews, and access direct purchase links using natural language queries. TechCrunch reports: When ChatGPT users search for products, the chatbot will now offer a few recommendations, present images and reviews for those items, and include direct links to webpages where users can buy the products. OpenAI says users can ask hyper-specific questions in natural language and receive customized results. To start, OpenAI is experimenting with categories including fashion, beauty, home goods, and electronics. OpenAI is rolling out the feature in the default AI model for ChatGPT, GPT-4o, today for ChatGPT Pro, Plus, and Free users, as well as logged-out users around the globe.

[…] OpenAI claims its search product is growing rapidly. Users made more than a billion web searches in ChatGPT last week, the company told TechCrunch. OpenAI says it’s determining ChatGPT shopping results independently, and notes that ads are not part of this upgrade to ChatGPT search. The shopping results will be based on structured metadata from third parties, such as pricing, product descriptions, and reviews, according to OpenAI. The company won’t receive a kickback from purchases made through ChatGPT search. […] Soon, OpenAI says it will integrate its memory feature with shopping for Pro and Plus users, meaning ChatGPT will reference a user’s previous chats to make highly personalized product recommendations. The company previously updated ChatGPT to reference memory when making web searches broadly. However, these memory features won’t be available to users in the EU, the U.K., Switzerland, Norway, Iceland, and Liechtenstein.


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Spain is about to face the challenge of a “black start”

Since the Iberian Peninsula lost power in a massive blackout, grid operators are in the process of trying to restore power to millions of customers and businesses. As you might imagine, the process—termed a “black start”—is quite a bit more challenging than flicking on a switch. However, the challenge is made considerably more difficult because nearly everything about the system—from the management hardware that remotely controls the performance of the grid to the power plants themselves—needs power to operate.

Restarting the grid

You might think that a power plant could easily start generating power, but in reality, only a limited number of facilities have everything they need to handle a black start. That’s because it takes power to make power. Facilities that boil water have lots of powered pumps and valves, coal plants need to pulverize the fuel and move it to where it’s burned, etc. In most cases, black-start-rated plants have a diesel generator present to supply enough power to get the plant operating. These tend to be smaller plants, since they require proportionally smaller diesel generators.

The initial output of these black start facilities is then used to provide power to all the plants that need an external power source to operate. This has to be managed in a way that ensures that only other power plants get the first electrons to start moving on the grid, otherwise the normal demand would immediately overwhelm the limited number of small plants that are operating. Again, this has to be handled by facilities that need power in order to control the flow of energy across the grid. This is why managing the grid will never be as simple as “put the hardware on the Internet and control it remotely,” given that the Internet also needs power to operate.

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Soft Vine-Like Robot Helps Rescuers Find Survivors In Disaster Zones

New submitter MicroBitz shares a report: SPROUT, short for Soft Pathfinding Robotic Observation Unit, is a flexible, vine-like robot developed by MIT Lincoln Laboratory in collaboration with the University of Notre Dame. Unlike rigid robots or static cameras, SPROUT can “grow” into tight, winding spaces that are otherwise inaccessible, giving first responders a new way to explore, map and assess collapsed structures. Beyond disaster response, the technology could be adapted for inspecting military systems or critical infrastructure in hard-to-reach places, making SPROUT a versatile tool for a variety of high-stakes scenarios. “The urban search-and-rescue environment can be brutal and unforgiving, where even the most hardened technology struggles to operate. The fundamental way a vine robot works mitigates a lot of the challenges that other platforms face,” says Chad Council, a member of the SPROUT team, which is led by Nathaniel Hanson.

“The mechanical performance of the robots has an immediate effect, but the real goal is to rethink the way sensors are used to enhance situational awareness for rescue teams,” adds Hanson. “Ultimately, we want SPROUT to provide a complete operating picture to teams before anyone enters a rubble pile.”

You can see the SPROUT vine robot in action in a YouTube video from MIT Lincoln Laboratory.


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ChatGPT goes shopping with new product-browsing feature

On Thursday, OpenAI announced the addition of shopping features to ChatGPT Search. The new feature allows users to search for products and purchase them through merchant websites after being redirected from the ChatGPT interface. Product placement is not sponsored, and the update affects all users, regardless of whether they’ve signed in to an account.

Adam Fry, ChatGPT search product lead at OpenAI, showed Ars Technica’s sister site Wired how the new shopping system works during a demonstration. Users researching products like espresso machines or office chairs receive recommendations based on their stated preferences, stored memories, and product reviews from around the web.

According to Wired, the shopping experience in ChatGPT resembles Google Shopping. When users click on a product image, the interface displays multiple retailers like Amazon and Walmart on the right side of the screen, with buttons to complete purchases. OpenAI is currently experimenting with categories that include electronics, fashion, home goods, and beauty products.

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Norco issues voluntary recall on new Sight VLT CX eMTB

Norco has announced a voluntary recall on all of its model year 2025 Sight VLT CX electric mountain bikes. 

This is due to concerns with the rearmost rear brake insert coming loose, which Norco says is a safety concern while riding. 

As a result, Norco recommends to stop riding the electric mountain bike: “Out of an abundance of caution, we’re asking all riders of these bikes to stop riding immediately while we investigate and gather more data.” 

All of the models in the range are affected, which are as follows: 

  • Norco Sight VLT CX C1 150
  • Norco Sight VLT CX C2 150
  • Norco Sight VLT CX C3 150

The Sight VLT CX was launched earlier this month. It is claimed to offer a 20 per cent weight reduction over the previous model, despite boasting more battery capacity and equal power.

The bike uses Bosch’s latest Gen5 Performance Line CX motor and retains its predecessor’s 160/150mm suspension travel, while rolling on a mullet setup. 

MY25 Sight VLT CX – climbing shot
Norco launched the new bike earlier this month. Norco

If you have questions, Norco says: “Your Norco retailer is your best point of contact, and they’ll be kept informed throughout this process.” 

“We know this is an inconvenience, and we appreciate your patience and understanding. This request comes from our commitment to performance, safety, and the trust you place in every ride,” Norco says in the stop ride notice. 

Norco says you can also reach its team directly at warranty@norco.com or 1-800-663-8916 if you’re in the USA or Canada. 

You can read the full stop ride notice here, which was issued last Friday.

Wholesome Direct 2025 will premiere on June 7

Wholesome Direct, an annual showcase of cute and cozy games, is returning on Saturday, June 7 at 12PM ET / 9AM PT. This year’s event will show off “a vibrant lineup of artistic, uplifting, and emotionally resonant games from developers of all sizes from around the world,” according to Wholesome Games’ announcement post. 

Last year’s Wholesome Direct covered over 30 games, including updates to already released titles and the reveal of entirely new games. The definition of “wholesome” is generally as broad as event organizer Wholesome Games needs it to be, but Kamaeru: A Frog Refuge from the 2024 Direct is a good example of the kind of game this showcase likes to feature. It’s a cute concept (a management game about running a wildlife refuge), has a beautifully illustrated art style and features relaxed, but deep gameplay. Many of the projects that fill out the average Wholesome Direct lineup fit a similar description.

Wholesome Games hasn’t yet announced which developers will be featured during the Wholesome Direct, but the odds are good that its own Wholesome Games Present publishing label will have some games in the mix. Is This Seat Taken?, a puzzle game about figuring out seating arrangements, doesn’t have a release date yet and would be a natural fit for the show.

Wholesome Direct 2025 will stream on YouTube and Twitch on June 7 at 12PM ET / 9AM PT. The showcase falls right in the middle of Summer Game Fest, a group of loosely-affiliated game showcases that start airing on June 6, 2025.

This article originally appeared on Engadget at https://www.engadget.com/gaming/wholesome-direct-2025-will-premiere-on-june-7-214501921.html?src=rss

Backblaze responds to claims of “sham accounting,” customer backups at risk

Backblaze is dismissing allegations from a short seller that it engaged in “sham accounting” that could put the cloud storage and backup solution provider and its customers’ backups in jeopardy.

On April 24, Morpheus Research posted a lengthy report accusing the San Mateo, California-based firm of practicing “sham accounting and brazen insider dumping.” The claims largely stem from a pair of lawsuits filed against Backblaze by former employees Huey Hall [PDF] and James Kisner [PDF] in October. Per LinkedIn profiles, Hall was Backblaze’s head of finance from March 2020 to February 2024, and Kisner was Backblaze’s VP of investor relations and financial planning from May 2021 to November 2023.

As Morpheus wrote, the lawsuits accuse Backblaze’s founders of participating in “an aggressive trading plan to sell 10,000 shares a day, along with other potential sales from early employee holders, against ‘all external capital markets advice.’” The plan allegedly started in April 2022, after the IPO lockup period expired and despite advisor warnings, including one from a capital markets consultant that such a trading plan likely breached Backblaze’s fiduciary duties.

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Milwaukee Police Consider Trading Millions of Mugshots For Free Facial Recognition Access

An anonymous reader quotes a report from Milwaukee Journal Sentinel: Milwaukee police are mulling a trade: 2.5 million mugshots for free use of facial recognition technology. Officials from the Milwaukee Police Department say swapping the photos with the software firm Biometrica will lead to quicker arrests and solving of crimes. But that benefit is unpersuasive for those who say the trade is startling, due to the concerns of the surveillance of city residents and possible federal agency access. “We recognize the very delicate balance between advancement in technology and ensuring we as a department do not violate the rights of all of those in this diverse community,” Milwaukee Police Chief of Staff Heather Hough said during an April 17 meeting.

For the first time, Milwaukee police officials detailed their plans to use the facial recognition technology during a meeting of the city’s Fire and Police Commission, the oversight body for those departments. In the past, the department relied on facial recognition technology belonging to neighboring police agencies. In an April 24 email, Hough said the department has not entered into an agreement with any facial recognition and the department intends to continue engaging the public before doing so. The department will discuss it at a future meeting of the city’s Public Safety and Health Committee next, she said. “While we would like to acquire the technology to assist in solving cases, being transparent with the community that we serve far outweighs the urgency to acquire,” she said in an email.

Officials said the technology alone could not be used as probable cause to arrest someone and the only authorized uses would be when there’s basis to believe criminal activity has happened or could happen, or a threat to public safety is imminent. Hough said the department intended to craft a policy that would ensure no one is arrested solely based on facial recognition matches. That reassurance and others from police officials came as activists, residents and some public officials voiced concern.


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2025 VW Golf R first drive: The R stands for “really good fun”

I remain perpetually wrong-footed by the Volkswagen Golf R, the more powerful all-wheel drive upgrade to the venerable VW Golf GTI. I always expect I’m in for a driving experience that is as measured and calm as it is fast. I don’t know why I continually underestimate the R—Ars has driven a few of them now, and you’d think I’d remember that maybe the R should stand for “raucous.”

VW has been making hot Golfs for as long as I’ve been on the planet—next year will be the GTI’s 50th anniversary. The super-GTI is a little newer. In 1986, the GTI was joined by a more powerful version with a 16-valve engine—here in the US, they also got a capacity bump from 1.8 to 2 L. Later, the much rarer Rallye Golf emerged as a homologation special. Five thousand all-wheel drive, supercharged Golfs were built to make the car eligible for Group A rallying, and then VW Motorsport built a small number of G60 Limiteds—essentially the Rallye with some added luxury like leather, ABS, and power steering.

The Mk2’s straight lines gave way to the Mk3’s curves, and by then, VW had developed its VR6 engine. Most engines with two banks of cylinders have a V angle of 60 or perhaps 90 degrees; with a V angle of just 15 degrees, the VR6 engine was able to fit in the tight confines of the Golf’s engine bay. For the Mk4 and Mk5, this morphed into the Golf R32, where the VR6’s power and torque were better harnessed by all-wheel drive.

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OnePlus lowers Watch 3 price by $150, promises refunds for early buyers

OnePlus undoubtedly hoped the release of its newest smartwatch had gone smoother. After delaying the launch, the company released the watch right at the peak of tariff drama. The watch debuted at a higher $500 price in the US, but OnePlus now says that after some adjustments, it is able to bring the price down by $150, and it’s staying there.

OnePlus, which is part of the Chinese megacorp Oppo, announced the OnePlus Watch 3 in early 2025. The first batch of units to roll off the line went out to reviewers, who promptly noticed that the underside featured a prominent typo, reading “Meda in China” instead of “Made in China.” OnePlus delayed the release to fix the issue.

That brings us to early April and the onslaught of tariffs, which are still hanging over the US economy. OnePlus finally released the watch, but it did so with a $500 price tag “due to the current market conditions.”

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Your Google Pixel Can Make New Emojis for You Now

For the past five years, Google’s Emoji Kitchen has offered a way for users to make unique emojis from existing icons. The feature lets you take two emojis and combine them into one to make emojis that are familiar yet new. You can take the saluting emoji and combine it with the robot emoji to make a saluting robot, or the alien emoji and the “shh” emoji to make an alien telling you to be quiet.

You can’t necessarily mix each and every emoji that you see in your emoji keyboard, though—first, Google has to make those combinations possible. Every now and then, Google will include new combinations within software updates, even if they don’t advertise each one. The more often you use emojis with Gboard, the more combinations you’re bound to discover.

But now, you no longer need to experiment with Emoji Kitchen in order to discover new combinations. In fact, Google will do the combining for you: All you have to do is scroll.

Browse Emoji Kitchen combinations on Pixel

As reported by 9to5Google, Google is rolling out an update to the emoji keyboard on Pixel devices. Once the update hits your Pixel, you’ll now see a short row of emoji combinations along the top of the emoji keyboard, with an arrow at the end of the row. Tap the arrow, and you’ll open up a full grid of emoji combinations, which you can scroll through for a long time. If you somehow reach the bottom without finding an emoji you like, you can return to the top of the grid and pull down to refresh the browser.

emoji kitchen browse

Credit: Jake Peterson/Lifehacker

When you do find a combination you like, tap on it. The emoji keyboard will reveal a pop up, showing you which two emojis were used to make this new one. If you want to use it, just tap Send.

two examples of how emojis were made in the emoji kitchen

Credit: Jake Peterson/Lifehacker

While the Emoji Kitchen is available on all devices using Gboard, the new Emoji Kitchen browser is exclusive to Pixel devices. Other devices will still need to create Emoji Kitchen icons by hand. Alternatively, you can use the “Randomize” option in the Emoji Kitchen tool built into Google: just search Emoji Kitchen in the web browser, then click Get cooking.

Dyson Founder Says He Has Lived a ‘Life of Failure’

Inventor James Dyson described his career as “a life of failure” in a recent Wall Street Journal interview, citing setbacks as drivers of innovation. The 77-year-old creator of the bagless vacuum cleaner, who built a $16.8 billion fortune according to Bloomberg’s Billionaire Index, created 5,127 prototypes over five years before successfully launching his signature product in 1993. “If something works, it’s less challenging, it’s less interesting,” Dyson said. “If something’s gone wrong, you want to know why it’s gone wrong, and it’s a learning process.”

Dyson’s company abandoned its electric vehicle project in 2019 despite investing over $600 million, concluding it wasn’t commercially viable. The prototype now sits prominently at the company’s Singapore headquarters. “I had to be pragmatic about it and say it’s too risky for us to do, which is a shame because I loved doing it,” Dyson said.


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Google is giving Android its own showcase a week before I/O

Google I/O is where we learn about many major features and updates that are coming to the company’s ecosystem, including on the Android front. The company is doing something a little different this year. Just ahead of I/O, it will provide a deep dive into the future of Android with a special edition of The Android Show.

This is the first time that Google has held such a showcase before I/O. The company says that people have been asking for more ways to learn about how the Android experience is changing and giving the ecosystem its own spotlight ahead of the main event is one way to do that. 

Google says it has “so many new things to share” regarding Android, hence this edition of The Android Show (a series that the company has been running for developers on YouTube for a while). The presentation will feature Android Ecosystem president Sameer Samat. Android will still be featured at I/O, where Google is promising to reveal “even more special announcements and surprises.” Multiple Android keynotes are scheduled for the event.

The Android Show: I/O Edition will air on May 13 at 1PM ET. Google I/O takes place a week later, starting on May 20. As ever, we’ll bring you all the important news and updates you need to know from the event right here on Engadget.

This article originally appeared on Engadget at https://www.engadget.com/mobile/google-is-giving-android-its-own-showcase-a-week-before-io-160035457.html?src=rss

The Out-of-Touch Adults’ Guide to Kid Culture: The End of Slang

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Youth culture moves fast. New slang is created and abandoned in days, whole communities organize around a blurry photograph, jokes become memes, memes become rituals, and everything might is abandoned before you even notice it exists. It’s like to trying to study a snowflake: Once you can look at it, it’s already melted. So it is this week, as I take a look a new lexicon of brain-rot slang (that might not really be slang), a meme format based on threatening to eat your Uber driver, and the performative disappointment of youth. Plus, as a reminder that we still still share something, a video about humanity’s never-ending fascination with digging holes.

What do “Kevin,” “gurt,” and “IKIAB” mean?

I cover slang a lot in this column and keep a running glossary of Gen Z and Gen A words, but I’m not sure what to make of “Kevin,” “gurt,” “IKIAB,” and countless other slang terms born in the past couple of weeks. To many young people, anything bad can be described as Kevin, and the word gurt means something like “smart but dangerous” and IKIAB is an acronym for “Imma keep it a buck,” which means “I’m telling the truth.” But maybe they don’t mean anything.

All these new words are part of the quickly evolving world of brain-rot memes, and they straddle a line between self-aware parody of slang and actual slang. IKIAB was coined a few weeks ago by TikTok user @xznthos, who declared it was new slang that everyone would now use. Gurt was invented and defined a few days later, and Kevin a few days after that. This led to making up slang words becoming a meme format in brain-rot videos, with all kinds of people declaring that all kinds of words now mean all kinds of things. But do they? Is slang really slang just because someone says it is and a lot of people see the video?

Taking it a step further, a writer at Daily Dot asked Google Search’s generative AI Overview to define nonsense phrases like “banana slurp” and “cyclops vibing,” and it answered that banana slurp “could potentially be a misinterpretation of ‘that’s bananas’ or ‘she/he went bananas,’ which both mean something is crazy, wild, or extremely agitated,” and that cyclops vibing “essentially suggests that a person is enjoying themselves and in a good place, even if they are depicted with a somewhat intimidating or unusual image like a cyclops.”

So you don’t even need a person to have ever used a word or phrase for it to have a definition (at least to a computer), so when is a word slang and when is it nonsense? That’s the kind of question only a total stork smoother would ask.

What is the “I’m so hungry I could eat…” trend?

The “I’m so hungry I could eat…” trend is way easier to understand than brain-rot slang. It’s a form of prank video where you secretly record someone’s reaction to you saying, “I’m so hungry I could eat X,” with X being whatever is likely to get the biggest reaction.

It started with videos of parents saying “I’m so hungry I could eat a kid” to their kids, which is adorable:

Then dog owners started threatening to eat their dogs:

Then things started getting stranger, like this video where someone threatens to eat their Uber driver.

But the height of the trend is saying you’re so hungry they could eat a random, specific person from their victim’s past. Like an old classmate who might have been dangerous:

or their first boyfriend:

or their coke dealer from the 90s.

What is the Hiccup Cult?

If your child has just joined The Hiccup Cult, don’t worry. It’s not a cult like The People’s Temple; it’s just a random TikTok thing with no real meaning. A few weeks ago, TikToker @annesstinkysock posted a video where they pointed out that the character Hiccup from How to Train Your Dragon is kind of funny-looking, and that she’d changed her profile picture to an image of Hiccup. That’s it. That’s the whole origin story. For some reason no one can explain, this video was spat out to millions of TikTok users, thousands (maybe hundreds of thousands) of whom changed their own profile pictures to Hiccup. Many of them started following each other, and a cult was born. To join, you just have to change your profile picture to Hiccup and you’re in.

TikTok cults aren’t new. There have been a ton of them revolving around a picture of a hamster, or Dragon Ball character Goku, or minions. It’s the kind of thing that will be forgotten quickly, but maybe it provides some sense of belonging for the 12 seconds it exists.

“Rejection cakes” take over the internet

It’s the time of year when high school seniors are crossing their fingers and receiving their acceptance or rejection emails from the colleges they applied to. As you’d probably expect, social media is filled with videos of over-achievers crying happy tears because they were accepted at Harvard, Boston College, or all four of the Ivy League schools they applied to. As you’d probably expect, it’s getting ridiculous. Just check out how elaborate this video is for getting into UT Austin:

Good for her and all, but I mean, it’s UT Austin? Anyway, I’m more interested in the people who won’t be choosing between Yale and Dartmouth this fall. The trend for the rest of us, the also-rans and the almost-made-its, this year is rejection cakes. Videos like this one:

and this one:

are providing a much-needed counter-narrative to all the terrible success some people experience. I think there’s something more valuable in performative displays of resilience than displays of pride, because we can’t all get into Stanford, but we can all eat cake. Anyway, If you’d like to look at young people who have had their hopes dashed early instead of having them dashed when they graduate from their dream college there’s a bunch of videos here.

Viral video of the week: A Video About Digging A Hole

A lot of youth culture these days lives up to the “brain-rot” name, but there’s always a yin to the yang, like this week’s viral video, “A Video About Digging a Hole.” This video will not rot anyone’s brain. In it, YouTuber Jacob Geller goes deep into the subject of holes. People, particularly younger people, have always been fascinated with holes, and Geller’s video examines the cultural and symbolic power of the simple hole in the ground, finding connections between Louis Sachar’s classic young adult novel Holes, Minecraft’s constant digging and tunneling, 2025’s unexpected blockbuster video game A Game About Digging a Hole, and way more hole-based media. This video is worth the watch just for the section on The Kola Superdeep Borehole—the deepest hole humans have ever dug.

LEGO Machine Makes Waffles From Start To Finish

This is a video of the LEGO waffle factory built by Youtuber Brick Machines that can make waffles from start to finish, including mixing the batter, adding batter to a waffle iron, and plating the cooked waffles afterwards. That’s convenient, especially for someone like myself who loves everything about waffles except making them. So — what’s your waffle eating record? Mine’s 14. *shrug* I was on a cruise and went hard the first day…and all the other days. I gained 24 pounds that cruise. “How long was it?” 3 days, 2 nights.

IBM Pledges $150 Billion US Investment

IBM announced plans to invest $150 billion in the United States over the next five years, with more than $30 billion earmarked specifically for research and development of mainframes and quantum computing technology. The investment follows similar commitments from tech giants including Apple and Nvidia — each pledging approximately $500 billion — in the wake of President Trump’s election and tariff threats.

“We have been focused on American jobs and manufacturing since our founding 114 years ago,” said IBM CEO Arvind Krishna in a statement. The company currently manufactures its mainframe systems in upstate New York and plans to continue designing and assembling quantum computers domestically. The announcement comes amid challenging circumstances for IBM, which recently saw 15 government contracts shelved under the Trump administration’s cost-cutting initiatives.

Further reading: IBM US Cuts May Run Deeper Than Feared – and the Jobs Are Heading To India;
IBM Now Has More Employees In India Than In the US (2017).


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‘Don’t Make Google Sell Chrome’

Ruby on Rails creator and Basecamp CTO David Heinemeier Hansson, makes a case for why Google shouldn’t be forced to sell Chrome: First, Chrome won the browser war fair and square by building a better surfboard for the internet. This wasn’t some opportune acquisition. This was the result of grand investments, great technical prowess, and markets doing what they’re supposed to do: rewarding the best. Besides, we have a million alternatives. Firefox still exists, so does Safari, so does the billion Chromium-based browsers like Brave and Edge. And we finally even have new engines on the way with the Ladybird browser.

Look, Google’s trillion-dollar business depends on a thriving web that can be searched by Google.com, that can be plastered in AdSense, and that now can feed the wisdom of AI. Thus, Google’s incredible work to further the web isn’t an act of charity, it’s of economic self-interest, and that’s why it works. Capitalism doesn’t run on benevolence, but incentives.

We want an 800-pound gorilla in the web’s corner! Because Apple would love nothing better (despite the admirable work to keep up with Chrome by Team Safari) to see the web’s capacity as an application platform diminished. As would every other owner of a proprietary application platform. Microsoft fought the web tooth and nail back in the 90s because they knew that a free, open application platform would undermine lock-in — and it did!


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The Best AI Video Generators (and How They Compare to Each Other)

AI video generators are rapidly improving and becoming more widely available, with Google’s Veo 2 now built into the Gemini app for anyone paying for a Google One AI Premium plan. Like OpenAI’s Sora, Runway, Adobe’s Firefly, and others, Veo 2 enables you to create a professional-looking video from nothing more than a text prompt.

With Veo 2 now available to paying users, it seems like a good opportunity to test these different AI video generators against each other, and compare their strengths and weaknesses—and to assess where we’re at with AI video in general. We keep being told that these tools will transform movie-making, or at least fill the internet with AI slop, but are they actually practically useful?

Microsoft seems to think so, having used it in a recent ad. However, only parts of the clip were AI-made—shots with quick cuts and limited motion, where hallucinations are less likely to happen or be noticed.

For the purposes of this guide I’m going to take a look at Google Veo 2 and put it up against Sora, Runway, and Firefly. Other video generators are available, but these are four of the most prominent: They all cost money to access (starting from $20 a month), so you’ll need to sign up for a month at least to play around with them.

Bouncing balls

If you’re as old as I am, you’ll remember an incredible ad Sony made to promote its new 1080p Bravia televisions in 2005 (above). More than 100,000 bouncy balls were dropped on the steep streets of San Francisco while the cameras rolled, and it was a compelling watch (the behind-the-scenes story is pretty fun, too).

This is a real challenge for AI, involving a lot of physics and movement. The prompt I used was: “Thousands of individual, brightly colored balls bouncing down a steep, sunny street in San Francisco, in slow-motion. The camera moves carefully down the street as the balls bounce downwards, passing trees and parked cars.”

The Google Veo 2 attempt isn’t bad. There’s some weird physics going on here, but it looks reasonably natural, and could work as a short clip if you’re not looking too closely. The background elements are well-rendered, and the instructions in my original prompt were followed pretty closely.

Sora seems confused about the scene it’s supposed to be rendering. There are colored balls for sure, but they move as a confusing mush, and defy gravity. The pace of the video is OK, even if it’s going in the opposite direction to the one I requested, and the background parts of the video look fine on the whole.

Runway gets the vibes pretty close, if you compare it to the original Sony clip, but again, there are several problems: The balls aren’t at all consistent, the movement isn’t what I asked for, and it looks as though there’s an alien watching from a window in the top right corner. The street does look pretty cool though.

Firefly is probably the worst of the bunch, here. Most of the balls are stationary, and those that are moving aren’t very well-rendered. The street looks OK but it’s nothing special—there’s definitely a retro video game feel to it. As with the Sora clip, the camera is taking me up the street when I really wanted to go down.

“Jurassic Park” scene

If AI is going to replace the actual people who make movies, then it needs to be able to create scenes as powerful as the “welcome to Jurassic Park” one in Spielberg’s 1993 movie: the moment where Richard Attenborough as John Hammond reveals the dinosaurs to his visitors for the first time (above).

I was curious to see what AI would make of the scene. The prompt was: “At the top of a hill, two paleontologists slowly stagger along through the grass. As they do so the camera pulls back for a wider shot, revealing a wide clearing and a lake below. There are dinosaurs slowly walking through the lake and the trees.”

The clip from Google Veo 2 looks pretty good. The camera isn’t really moving in the way I described, and the paleontologists aren’t really staggering (and they’re not on a hill either), but the scenery looks good and the dinosaurs look OK. It’s rather generic overall, but it’s a decent effort.

Sora goes a little bit crazy with this prompt. The camera movements are jerky and don’t follow the instructions I made, and the dinosaurs look like weird shape-shifting creatures. The best I can say about this effort is that all the elements I described are included, and the surrounding scenery is reasonably well done.

As for Runway, it’s probably the closest to what I wanted when it comes to the camera movements and the overall feel of the scene. The lake and the dinosaurs look realistic enough, but it’s by no means a perfect rendering—where does the red-shirted paleontologist disappear to?

It’s another poor effort from Firefly. I’m not sure it knows what paleontologists are, and the dinosaurs are very small. The lake and the surrounding forest are done to an OK standard, though, even if there’s a noticeable AI sheen to everything in the frame. The camera movements have been translated well here.

“The Living Daylights” scene

One more: the memorable Bond and Kara border-crossing scene in The Living Daylights, where they scoot down a snowy mountain on a cello case (above). I don’t need to hire Timothy Dalton or Maryam d’Abo, learn how to operate a camera, or travel to Austria, because AI can make the whole scene for me.

The prompt for this one was: “A man and a woman in winter clothing are sliding down a snow-covered road on a cello case. There is a barrier on the road, and as they reach it, both characters duck under it.”

Google Veo 2 manages this pretty well, everything considered—the scene looks mostly realistic and fun, and that does look a bit like a cello case. We do have to ignore the two people going through the road barrier as if it isn’t there, but at least there is a barrier there (something the other AI models couldn’t grasp).

Over to Sora, and again, it’s not terrible. OK, that’s not really a cello case, and surely the two people would be facing forward, but the snowy road and the surrounding trees look good—it’s an immersive scene. Where’s my road barrier, Sora? I want to see these people ducking under it.

As for Runway, whatever videos it was trained on, they sure weren’t videos of people riding cello cases down mountains. The people are blending into each other, elements in the shot are shifting shape, and it just looks weird. The snowy scenery and the actual live snow effect do look good, though.

Who knows what Adobe Firefly is thinking here. The physics in this one make absolutely no sense, the characters aren’t consistent, and there’s no road barrier to duck under. It’s actually unsettling to watch. We do get a snowy road, a cello case, and two people in the clip, however.

There’s no clear winner

I think the Veo 2 videos impressed me most overall, though Runway seems good for realism more often than not. Across the board we have a lot of problems with physics, realism, and prompt interpretation. These are all clearly AI videos, with numerous weird quirks and inconsistencies.

Now, I wasn’t expecting these AI generators to get anywhere near the quality of professional ads or movies: It’s just not possible to recreate those scenes with only a text prompt and a few minutes of time and effort. I’m not trying to take a cheap shot at these tools, which are obviously very clever, but rather point out some of the fundamental issues with AI video.

Bouncing balls
These balls aren’t bouncing.
Credit: Adobe Firefly/Lifehacker

With more careful work and expertise, I could probably get something that looked a lot better, and clearly these video generators are going to improve over time. Who knows what they’ll be able to produce in five or 10 years? If you check out the showcased videos on these platforms, you can see that great results are possible.

Personally, though, I’m not convinced these AI tools will ever fully replace traditional film work, no matter how well they’re trained. To get something like the Sony ad in AI, you’d have to write reams and reams of incredibly detailed prompts, and even then you might not get what you wanted. Would AI think up the frog jumping out of the drain? Results are quick and easy, sure, but you’re offloading most of the creative decisions to AI. These videos feel computer-generated.

People walking
One of these people is about to disappear.
Credit: Runway/Lifehacker

AI doesn’t really know how a ball bounces, or what a dinosaur looks like, or which way people should face as they slide down a snowy road on a cello case. It approximates and calculates based on all the videos it’s previously seen, and those shortcomings show up a lot more in video than they do with images or text. You’ll notice most AI videos, including the examples above, don’t include elements that come in and out of shot, because the AI is likely to forget what they look like if they’re not visible.

And I haven’t even had space here to cover the copyright issues or the energy cost to the planet. No doubt we’ll see an increasing number of AI-made ads and shorts as time goes on and the technology improves, but it’s worth going back to the famous warning in Jurassic Park: Being so preoccupied with whether we can do it, we don’t stop to think about whether we should.

Disclosure: Lifehacker’s parent company, Ziff Davis, filed a lawsuit against OpenAI in April, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.