A16Z Brags That Its AI Is Great for Poisoning the Internet With Fake Tech History
Did you recently see a video of kids from the 1990s predicting how computers would be used in the future? It’s fake. The video was created using Flux 3 and if you didn’t inspect it too closely, it looks pretty authentic as an artifact from 30 years ago. But it serves as a great reminder that we really can’t trust our own eyes here in 2026.
Justine Moore, a partner at venture capital firm Andreessen Horowitz, tweeted the video last week, writing that Black Forest Labs’ Flux 3 is “exceptional at generating historical footage.” The venture capital firm announced it was investing in Black Forest Labs in 2024.
Moore noted that the last girl in the video was her favorite, perhaps because it has some awkward silences that make it appear much more realistic.
Turns out that Flux 3 is exceptional at generating historical footage…
like elementary school students in the ’90s predicting how we’ll use computers.
(the last girl is my favorite!) pic.twitter.com/oH6qJy8AQU
— Justine Moore (@venturetwins) July 28, 2026
The video has an aesthetic quality that feels like 1990s video and the outfits are decade appropriate. The answers given by the AI kids are also very believable. “They’ll probably do our homework,” one AI-generated kid says. Another responds, “Maybe they’ll make movies for us,” an obvious nod to the agenda of tech boosters who think AI tools will soon replace Hollywood films.
“I think we’ll just tell them what to do,” another fake AI kid says in the video. That one feels like a wink to folks who are worried about AI going rogue. OpenAI and Anthropic have had some experience with that lately.
These kinds of predictions were extremely common in the 20th century. Kids frequently predicted that computers (or robots) would do their homework for them. A few years back I looked at some predictions for robots in the future from kids in the 1980s and they sounded identical.
“I want my robot to do things for my mom and me. I want my robot to do my homework,” one Kentucky first grader in 1988 wrote.
Kids were predicting the same kind of stuff as far back as the 1950s. So it’s clear where the creators of this video were pulling this idea from. But the video presents a unique challenge for the future of humanity.
What happens when people make realistic AI videos that change how we understand history? Obviously this one is fairly innocuous, even if the goal is to normalize AI use through subtle propaganda. But what about people who create new versions of events in history and treat them like newly uncovered video? Perhaps we get an AI-generated wide angle view of the airplane that crashed into the Pentagon on September 11, 2001. Or maybe we get a new angle on the assassination of John F. Kennedy that reveals the president was actually killed by Tiny Tim?
This is just the world we live in now. And we have to navigate it with proper skepticism. Unfortunately, people can be so skeptical that they discount very real photos and videos. Have you heard that some pro baseball players have started to insist Babe Ruth didn’t actually exist? The evidence for this claim is that apparently there isn’t enough video footage of the late baseball great. But it’s a ridiculous idea for so many reasons, not least of which is that we actually have a fair amount of motion picture film showing Babe Ruth in action.
President Donald Trump benefits from the same kind of skepticism in a perverse way. It’s known as the liar’s dividend, where someone can claim that real footage is fake because there’s enough doubt based on the available technology to create a plausible fake video.
I’m not saying that Tiny Tim actually killed Kennedy. I’m just saying that if he really did and there was video proving it, nobody would believe it’s real. And if someone made a fake AI video showing Tiny Tim killing Kennedy there would be people who absolutely think it’s real.
In short, we’re just cooked as a species at this point.
#A16Z #Brags #Great #Poisoning #Internet #Fake #Tech #Historya16z,AI,Artificial intelligence
Did you recently see a video of kids from the 1990s predicting how computers would be used in the future? It’s fake. The video was created using Flux 3 and if you didn’t inspect it too closely, it looks pretty authentic as an artifact from 30 years ago. But it serves as a great reminder that we really can’t trust our own eyes here in 2026.
Justine Moore, a partner at venture capital firm Andreessen Horowitz, tweeted the video last week, writing that Black Forest Labs’ Flux 3 is “exceptional at generating historical footage.” The venture capital firm announced it was investing in Black Forest Labs in 2024.
Moore noted that the last girl in the video was her favorite, perhaps because it has some awkward silences that make it appear much more realistic.
Turns out that Flux 3 is exceptional at generating historical footage…
like elementary school students in the ’90s predicting how we’ll use computers.
(the last girl is my favorite!) pic.twitter.com/oH6qJy8AQU
— Justine Moore (@venturetwins) July 28, 2026
The video has an aesthetic quality that feels like 1990s video and the outfits are decade appropriate. The answers given by the AI kids are also very believable. “They’ll probably do our homework,” one AI-generated kid says. Another responds, “Maybe they’ll make movies for us,” an obvious nod to the agenda of tech boosters who think AI tools will soon replace Hollywood films.
“I think we’ll just tell them what to do,” another fake AI kid says in the video. That one feels like a wink to folks who are worried about AI going rogue. OpenAI and Anthropic have had some experience with that lately.
These kinds of predictions were extremely common in the 20th century. Kids frequently predicted that computers (or robots) would do their homework for them. A few years back I looked at some predictions for robots in the future from kids in the 1980s and they sounded identical.
“I want my robot to do things for my mom and me. I want my robot to do my homework,” one Kentucky first grader in 1988 wrote.
Kids were predicting the same kind of stuff as far back as the 1950s. So it’s clear where the creators of this video were pulling this idea from. But the video presents a unique challenge for the future of humanity.
What happens when people make realistic AI videos that change how we understand history? Obviously this one is fairly innocuous, even if the goal is to normalize AI use through subtle propaganda. But what about people who create new versions of events in history and treat them like newly uncovered video? Perhaps we get an AI-generated wide angle view of the airplane that crashed into the Pentagon on September 11, 2001. Or maybe we get a new angle on the assassination of John F. Kennedy that reveals the president was actually killed by Tiny Tim?
This is just the world we live in now. And we have to navigate it with proper skepticism. Unfortunately, people can be so skeptical that they discount very real photos and videos. Have you heard that some pro baseball players have started to insist Babe Ruth didn’t actually exist? The evidence for this claim is that apparently there isn’t enough video footage of the late baseball great. But it’s a ridiculous idea for so many reasons, not least of which is that we actually have a fair amount of motion picture film showing Babe Ruth in action.
President Donald Trump benefits from the same kind of skepticism in a perverse way. It’s known as the liar’s dividend, where someone can claim that real footage is fake because there’s enough doubt based on the available technology to create a plausible fake video.
I’m not saying that Tiny Tim actually killed Kennedy. I’m just saying that if he really did and there was video proving it, nobody would believe it’s real. And if someone made a fake AI video showing Tiny Tim killing Kennedy there would be people who absolutely think it’s real.
In short, we’re just cooked as a species at this point.
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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