1 big thing: AI's great "pause" debate

2. Fantasy author takes on Audible's "poor" terms 

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4. After you Login 

They say you can't step in the same river twice. But, friends, here in the Bay Area, it has felt like we've been stuck in the same "atmospheric river" all season.

Today's Login is 1,175 words, a 4-minute read. 

Thanks to Peter Allen Clark for editing and Bryan McBournie for copy editing this newsletter.

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1 big thing: Government begins to act on battery fires

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2. Who's schooling Congress on AI 

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4. After you Login

I've enjoyed steering the good ship Login this week! Ina will be back as usual Monday.

Today's Login is 1,254 words, a 5-minute read.

🚫 Situational awareness: The Italian privacy regulator temporarily banned ChatGPT, alleging privacy violations, Politico reports.

1 big thing: AI changes the software-making game

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2. Americans hooked on Chinese apps

Hello world! Ina's taking a break, and I will be your host for the Login week. 

Axios' second annual What's Next Summit is this Wednesday, March 29, in Washington, D.C.! You’ll hear from music producer Timbaland, head of YouTube Neal Mohan, White House Office of Science and Technology Policy director Arati Prabhakar and more on the issues and innovations shaping our future. Register to livestream the event here.

Today's newsletter is 1,202 words, a 5-minute read. 

💰 Situational awareness: First Citizens BancShares has agreed to buy the commercial banking business of Silicon Valley Bank, which recently collapsed and was seized by the U.S. government.

1 big thing: Congress zeroes in on content rules 

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2. Wellness lab offers parents TikTok counsel

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I know the days are getting longer, but this time of year, don't the months feel like they're lengthening too? 

🧩 Situational awareness: Chinese tech giant Alibaba announced today it will split into six core businesses that will be able to pursue independent fundraising and IPOs.

Today's Login is 1,232 words, a 5-minute read. 

1 big thing: SS Twitter keeps taking on more water 

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2. Microsoft brings generative AI to cyber with new tool

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Tune in today to Axios' second annual What's Next Summit, with events and speakers all day. Register here.

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National

Axios AI+

The internet is beginning to fill up with more and more content generated by artificial intelligence rather than human beings, posing weird new dangers both to human society and to the AI programs themselves.

What's happening: Experts estimate that AI-generated content could account for as much as  90% of information on the internet in a few years' time, as ChatGPT, Dall-E and similar programs spill torrents of verbiage and images into online spaces.

That's happening in a world that hasn't yet figured out how to reliably label AI-generated output and differentiate it from human-created content.

The danger to human society is the now-familiar problem of information overload and degradation. 

AI turbocharges the ability to create mountains of new content while it undermines the ability to check that material for reliability and recycles biases and errors in the data that was used to train it. 

There's also widespread fear that AI could undermine the jobs of people who create content today, from artists and performers to journalists, editors and publishers. The current strike by Hollywood actors and writers underlines this risk.

The danger to AI itself is newer and stranger. A raft of recent research papers have introduced a novel lexicon of potential AI disorders that are just coming into view as the technology is more widely deployed and used.

"Model collapse" is researchers' name for what happens to generative AI models, like OpenAI's GPT-3 and GPT-4, when they're trained using data produced by other AIs rather than human beings. 

Feed a model enough of this "synthetic" data, and the quality of the AI's answers can rapidly deteriorate, as the systems lock in on the most probable word choices and discard the "tail" choices that keep their output interesting. 

"Model Autophagy Disorder," or MAD, is how one set of researchers at Rice and Stanford universities dubbed the result of AI consuming its own products.

"Habsburg AI" is what another researcher earlier this year labeled the phenomenon, likening it to inbreeding: "A system that is so heavily trained on the outputs of other generative AIs that it becomes an inbred mutant, likely with exaggerated, grotesque features."

There are multiple nightmares embedded in this scenario. 

Publishers, media companies and other providers of quality information  — fearful of having their valuable content scraped by AI companies — could keep more of their content off the web or behind paywalls, further impoverishing the public sphere. That's just one of many risks industry analyst Ray Wang, CEO of Constellation Research, highlights in a sobering essay.

Understanding the lineage and veracity of content is essential, Wang told Axios. "We need to know the original source and we need to know the derivatives."

Tech providers have had more luck so far with schemes to label AI-generated images than with efforts to identify AI-written text.

Meanwhile, AI providers are likely to face new challenges trying to keep the data troves used to train AI models unpolluted by AI-generated material.

"To avoid being affected by model collapse, companies should try to preserve access to pre-2023 bulk stores of data," one industry guide advises.

Yes, but: Some more specialized AI companies say that they aren't that worried about a glut of AI generated content on the web.

"Human annotation is still critical to the success and quality of our models, rather than sole reliance on text on public websites," said Saurabh Baji, senior VP of engineering at Cohere. "With our enterprise focus, we also fine-tune based on a customer's internal documents, which greatly improves customization."

Some observers believe that the glut of AI-generated content could add a new premium to any content that is human-crafted.

State of play: Less than a year into the generative AI revolution, big problems are already cropping up.

MSN, which relies heavily on AI-generated content after laying off human writers, attracted all kinds of negative press earlier this month when it recommended the Ottawa Food Bank as a good spot for tourists on an empty stomach. (Microsoft, for its part, says unsupervised AI was not to blame.)

A host of news sites have cropped up that appear to be doing little more than running human-written news stories through an AI engine and posting the results to the web. NewsGuard identified more than 400 such sites in a report last week. 

Those sites not only deprive the original publications of traffic, but could make it harder for the public to find real firsthand journalism out of a sea of AI copycats. 

What's next: We don't know much yet about how a tide of AI content will change our world, and the best minds in AI aren't willing to predict how any of this will play out.

As one leading company's researchers told us: "It's a very interesting question."

AI could choke on its own exhaust as it fills the web

The more AI models consume AI-created content, the more likely they are to "collapse," researchers find.

Illustration of a meat grinder grinding binary code into confetti

Artificial intelligence

Automation and AI

The internet is beginning to fill up with more and more content generated by artificial intelligence rather than human beings, posing weird new dangers both to human society and to the <a class="gtmContentClick" data-vars-link-text="AI" data-vars-click-url="https://www.axios.com/technology/automation-and-ai" data-vars-content-id="4f23348a-fb07-44c7-aa43-2d8551adac53" data-vars-headline="AI could choke on its own exhaust as it fills the web" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/technology/automation-and-ai" target="_self">AI</a> programs themselves.What&#x27;s happening: Experts estimate that AI-generated content <a class="gtmContentClick" data-vars-link-text="could account for as much as 90% of information" data-vars-click-url="https://futurism.com/the-byte/experts-90-online-content-ai-generated" data-vars-content-id="4f23348a-fb07-44c7-aa43-2d8551adac53" data-vars-headline="AI could choke on its own exhaust as it fills the web" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://futurism.com/the-byte/experts-90-online-content-ai-generated" target="_blank">could account for as much as 90% of information</a> on the internet in a few years&#x27; time, as ChatGPT, Dall-E and similar programs spill torrents of verbiage and images into online spaces.

From the Valley to D.C., Big Tech players like Facebook, Google and Amazon are under more scrutiny than ever as new technology develops and privacy and antitrust concerns grow in lockstep with companies’ ambitions.

Technology

As AI makes computers better at talking and behaving like human beings, humans are choosing — or being forced — to behave more like machines.

Why it matters: AI optimists believe the technology will relieve people from drudgery, allowing them to be more human than ever before. But marketplace pressures and cultural forces are both capable of pushing in the opposite direction, slotting humanity in as one more gear in a giant mechanism.

The big picture: Automation experts insist that a smart approach to workplace automation can improve workers' lives. The key is to make sure that the machines are adapted to the human worker's needs.

Historically, though, automation-minded business owners have instead pushed human workers to adapt to the needs, pace and workflow that physical robots and software bots demand.

These speed-ups are typically accompanied by the imposition of increasingly advanced surveillance and monitoring systems — one field that AI startups have rushed into.

If the latest automation wave is going to be any better than this for people, we haven't yet seen how.

That's one reason strikes and union drives are multiplying.

As one employee at an Amazon facility in Coventry, U.K. that's at the center of a labor fight recently told the Guardian: "To them, we are like robots rather than people. The little things that make us human, you can feel them being ground out of you."

The cultural impact of this economic shift is just beginning to be felt.

Facebook will soon start populating its platform with AI-driven chatbots designed to perform services and entertain users with personas like "surfer dude" or "Abraham Lincoln," per the Financial Times.

"Connecting people" has long been Facebook's mission, but as users slowly drift away from traditional sharing, the company is ready to pivot to "connecting people with bots."

On TikTok, there's a trend involving live people behaving like "NPCs" — the semi-robotic, repetitive non-player characters you might encounter in a video game.

PinkyDoll, a virally popular TikToker, takes contributions from fans who want her to repeat phrases like "Ice cream so good" on demand.

Sure, this is just a bit of pop-cultural ephemera bobbing on the online sea. It's also an indicator of just how porous the boundary between human and bot has become — in both directions.

Flashback: The Turing test used to be a widely agreed upon yardstick for the advances of AI.

The idea, proposed by computer science pioneer Alan Turing, is to determine whether a chatbot can behave "humanly" enough that a judge can't distinguish between it and a real person.

ChatGPT and other advances in generative AI have persuaded many experts that the Turing test is now outmoded.

Right now, we're less likely to ask machines to pass as humans than to demand that humans prove they're not machines.

The "captchas" that have proliferated on the web to filter out automated agents and bots from filling out forms intended for human users are a primitive example.

More futuristically, OpenAI founder Sam Altman's Worldcoin venture depends on the premise that the global economy is going to need a way for users of digital systems to "prove" that they are human.

Ironically, one of the great promises of generative AI is to put machines more fully at humans' service.

As machines get better at understanding human language, humans should increasingly be able to operate and direct them without, for the most part, ever having to learn "computerese" (programming languages).

But it will take a lot more imaginative design work to make that happen, and it will never happen if it costs too much.

The bottom line: The "uncanny valley" — that weird void midway between old-fashioned analog life and super-realistic digital representations of life — is now everyone's home.

People are becoming more robotic — and AI could make it worse

The lives of factory workers and online creators are getting more robotic.

As <a class="gtmContentClick" data-vars-link-text="AI" data-vars-click-url="https://www.axios.com/technology/automation-and-ai" data-vars-content-id="a0e981a6-f38b-4f6f-98fb-6158369779ff" data-vars-headline="People are becoming more robotic — and AI could make it worse" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/technology/automation-and-ai" target="_self">AI</a> makes computers better at talking and <a class="gtmContentClick" data-vars-link-text="behaving like human beings" data-vars-click-url="https://www.axios.com/2023/03/17/robots-humanoid-figure-tesla-robotics-ai" data-vars-content-id="a0e981a6-f38b-4f6f-98fb-6158369779ff" data-vars-headline="People are becoming more robotic — and AI could make it worse" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/2023/03/17/robots-humanoid-figure-tesla-robotics-ai" target="_self">behaving like human beings</a>, humans are choosing — or being forced — to behave more like machines.Why it matters: AI optimists believe the technology will <a class="gtmContentClick" data-vars-link-text="relieve people from drudgery" data-vars-click-url="https://www.axios.com/2023/07/21/ai-for-growth-incomes-inflation" data-vars-content-id="a0e981a6-f38b-4f6f-98fb-6158369779ff" data-vars-headline="People are becoming more robotic — and AI could make it worse" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/2023/07/21/ai-for-growth-incomes-inflation" target="_self">relieve people from drudgery</a>, allowing them to be more human than ever before. But marketplace pressures and cultural forces are both capable of pushing in the opposite direction, slotting humanity in as one more gear in a giant mechanism.

The book market is beginning to show cracks under new pressures from generative AI as the technology cuts a swath across creative industries.

What's happening: AI-generated pseudo-books are spamming Amazon and other online bookstores, sometimes borrowing real authors' names to squat on their virtual real estate. Meanwhile, the use of books in the training of AI firms' large language models remains hotly contested, as authors seek to prevent unauthorized, uncompensated use of their work.

Driving the news: Searches on Amazon — estimated to control at least half of all U.S. book sales, and an even bigger share of the growing e-book market — are increasingly turning up mediocre AI-generated titles filled with unreliable information and soggy prose.

Travel guides have become a key niche for this flood-the-zone-with-crud tactic, The New York Times reported last week.

But AI-generated titles have also begun to infiltrate categories like "cooking, programming, gardening, business, crafts, medicine, religion and mathematics, as well as self-help books and novels," per the Times.

It's not always easy for buyers to distinguish these ersatz titles from human-written products (which of course contain their share of duds, too). 

Reader reviews can help — but the review columns are also beginning to fill up with AI-generated posts intended to skew the ratings.

Publishing expert Jane Friedman made headlines last week with a blog post chronicling her discovery of fake books likely generated by AI that claimed to be written by her and used her name.

Amazon responded to her initial protests, she said, by asking whether she had trademarked her own name.

The company later took the book listings down after Friedman's posts received attention. As this fraudulent practice spreads, though, Friedman wonders, "What will authors with smaller profiles do when this happens to them?"

What they're saying: Amazon spokesperson Lindsay Hamilton in a statement to Axios said, "We have clear content guidelines governing which books can be listed for sale and promptly investigate any book when a concern is raised."

Amazon doesn't prohibit AI-generated book content but works created using AI sometimes intersect with violations, including not complying with intellectual property rights and misleading and "disappointing" customers.

"Amazon is constantly evaluating emerging technologies," the spokesperson's statement said, adding they have "zero tolerance for fake reviews."

The AI boom has given existing stockpiles of book-related data new value to AI developers — and made them a target of suspicion for creators.

Prosecraft, a project by Benji Smith, the developer of an authoring tool called Shaxpir, provided statistical analysis of published books (according to characteristics like "vividness" and uses of the passive voice) that also included snippets of books' texts.

The database has been around since 2017, but recently authors began to fear that its contents might end up as fodder for AI training.

Smith took the site down last week, apologizing to "the community of authors" and writing that he'd intended the project to put powerful "lexicographical tools" in the hands of everyday authors.

"The arrival of AI on the scene has been tainted by early use-cases that allow anyone to create zero-effort impersonations of artists, cutting those creators out of their own creative process," Smith wrote, adding that both Prosecraft and Shaxpir were "labors of love."

Between the lines: The first wave of anxiety about AI focused on ways the technology might steal jobs from humans. But the experience in publishing suggests job-market turmoil may be just one of many complex waves of change.

"We spent significant time examining the impact of AI before making this investment," KKR's Ted Oberwager told Axios' Dan Primack. 

"While we believe there will be opportunities to empower editors and creators with technology over time, just like the typewriter or computer did, we don't see the author at the center of the business model changing. Authors, and the human connection and experience, will not be replaced."

The big picture: The pollution of virtual bookshelves is obviously bad news for book lovers, but it also poses a threat to the AI world.

It's going to be very hard to weed out spurious AI-generated tomes from the real stuff the AI needs to train on.

If too much of the training data is itself AI-generated, studies are already warning, the large language models at the heart of AI systems will deteriorate or "collapse." 

AI-generated books are infiltrating online bookstores

As online bookstores fill with spurious AI-generated guides, authors look to defend their work.

Illustration of an open laptop with pages and a bookmark like a book

Books

The book market is beginning to show cracks under new pressures from <a class="gtmContentClick" data-vars-link-text="generative AI" data-vars-click-url="https://www.axios.com/2023/05/18/ai-agi-artificial-general-intelligence" data-vars-content-id="cbf373e5-f150-4b12-9b4b-dd0b3c2c67e2" data-vars-headline="AI-generated books are infiltrating online bookstores" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/2023/05/18/ai-agi-artificial-general-intelligence" target="_self">generative AI</a> as the technology cuts a swath across creative industries.What&#x27;s happening: <a class="gtmContentClick" data-vars-link-text="AI-generated" data-vars-click-url="https://www.axios.com/2023/05/18/ai-agi-artificial-general-intelligence" data-vars-content-id="cbf373e5-f150-4b12-9b4b-dd0b3c2c67e2" data-vars-headline="AI-generated books are infiltrating online bookstores" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/2023/05/18/ai-agi-artificial-general-intelligence" target="_self">AI-generated</a> pseudo-books are spamming Amazon and other online bookstores, sometimes borrowing real authors&#x27; names to squat on their virtual real estate. Meanwhile, the use of books in the <a class="gtmContentClick" data-vars-link-text="training of AI" data-vars-click-url="https://www.axios.com/2023/08/09/zooms-terms-service-changes-ai-fears" data-vars-content-id="cbf373e5-f150-4b12-9b4b-dd0b3c2c67e2" data-vars-headline="AI-generated books are infiltrating online bookstores" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/2023/08/09/zooms-terms-service-changes-ai-fears" target="_self">training of AI</a> firms&#x27; large language models remains hotly contested, as authors seek to prevent unauthorized, uncompensated use of their work.

Data: Yahoo! Finance; Chart: Axios Visuals

Chipmaker Nvidia's blowout earnings report late Wednesday is a strong sign that we're still only at the starting gate of Silicon Valley's artificial intelligence boom.

Why it matters: The billions of dollars in cash that companies are laying out for Nvidia's AI chips show that there is more than stock speculation or vaporware products at play in the current frenzy.

How it works: Winners in the earliest phases of tech growth cycles like this one are always the sellers of the raw hardware businesses need to build out capacity in new platforms.

Flashback: In the mid-1990s, when every corporation in America suddenly realized they had to get onto the internet, there was only one company ready to supply, in bulk, the routers firms needed to connect. Cisco Systems made many fortunes as a result.

Today, the hot commodity is Nvidia's AI chips — specialized processors that are fine-tuned to accelerate the calculations underlying ChatGPT and other generative AI applications.

That has put the company at the white-hot center of AI investment, and left Nvidia with more demand than it can handle.

"A new computing era has begun," Nvidia founder and CEO Jensen Huang said in a statement. "Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI."

Driving the news: Nvidia reported $13.5 billion in revenue for its second quarter of 2023 — up 88% from the previous quarter and well ahead of the $11.2 billion that analysts were expecting. Sales were also more than double those from the same quarter a year ago, so it's not just a seasonal or cyclical change.

Doubling revenue isn't unheard of for growth companies. Doubling it at this scale is rarer. 

Nvidia's forecast was also exceptionally bullish, with the company predicting revenue of $16 billion for the current quarter, well ahead of analysts' estimates of around $12.6 billion. 

Between the lines: There's one unique factor contributing to Nvidia's knockout numbers, beyond broad AI fever.

The global race to stockpile Nvidia's AI chips got a big boost from the Biden administration's sharp moves to keep advanced AI hardware out of China's hands.

That has pushed Chinese firms to place $5 billion in orders from Nvidia this year, per the Financial Times, including orders for a special AI chip designed to comply with new U.S. export restrictions.

Other nations, including Saudi Arabia and the UAE, have rushed to stockpile Nvidia chips as well, to hedge against the possibility of further U.S. limits. 

The bull case: "This is NOT hype, it's jaw dropping spending happening NOW," Wedbush analyst Dan Ives wrote on Twitter. 

"It's all about AI demand and use cases," Ives wrote. "The rest of tech will see this unprecedented spending wave not seen since 1995 over the coming years but Nvidia is on the front lines and the best barometer of true spending."

The bear case: Most booms are short-lived, and history shows the tech industry almost always overshoots, building way more capacity than it needs anticipating massive demand that often takes much longer than predicted.  (See: the over-investment in bandwidth from the mid-90s to the early 2000s.)

The chip industry is especially prone to this sort of cycle, and things can turn around quickly. Remember when car manufacturing lines slowed due to a lack of chips back in 2021? By this year, the industry was facing a glut of chips.

Another factor that pushes these cycles to extremes: Companies tend to double their chip orders in times of shortage, then find themselves with extra inventory once consumer demand weakens.

What they're saying: An Nvidia representative told Axios that the company has been in close contact with its customers and doesn't believe it is seeing double ordering. 

As for China, CFO Colette Kress said on the call that Nvidia believes it can absorb the types of export restrictions being discussed without taking a hit. But she warned that a long-term ban on the sale of data center GPUs to China would end up hurting the U.S., resulting in "a permanent loss of an opportunity for the U.S. industry to compete and lead in one of the world's largest markets."

car manufacturing lines slowed due to a lack of chips

Nvidia's knockout earnings give tech a giddy whiff of 1995

The chip maker's numbers are riding a wave of demand for its specialty: AI-optimized processors.

Nvidia

Chipmaker Nvidia&#x27;s blowout earnings report late Wednesday is a strong sign that we&#x27;re still only at the starting gate of Silicon Valley&#x27;s artificial intelligence boom.Why it matters: The billions of dollars in cash that companies are laying out for Nvidia&#x27;s AI chips show that there is more than stock speculation or vaporware products at play in the current frenzy.

Tech Policy

This week's historic start of Google's trial on federal antitrust charges will test the tech giant's two-decade-long dominance of the internet search field as never before.

Why it matters: Google's standing as the online world's most-used answer oracle is being challenged in court at the exact moment that the company also faces a technological earthquake in the form of ChatGPT and generative AI.

In its suit, first filed in 2020, the Justice Department accused Google of operating a monopoly in online search and using that monopoly power to limit competition, stifle innovation and violate users' privacy.

Google rejects the charges. "We obviously think there is a lot of competition in this space," Kent Walker, Google's chief legal officer, told Axios. "We're constantly changing search."

Zoom out: Every 20-25 years, the Justice Department's antitrust enforcers have taken on a dominant tech company. 

First it was IBM's turn (1969-1982), then Microsoft's (1998-2002). Google now has the baton.

Each of these trials has taken place as one era in computing was transitioning to another: From the mainframe to the PC, for IBM; from the isolated PC to the Web, for Microsoft. The advent of AI now looms over Google's case. 

Yes, but: IBM and Microsoft were singular colossi. Google's dominance of search and online advertising coexists with the power of other digital giants like Apple, Amazon, Meta and a resurgent Microsoft.

If the court rules against Google, the firm could face financial penalties, conduct mandates, or other remedies.

Legal experts don't view an order to "break up" Google as a likely outcome. The company's search business doesn't cleave neatly into parts in the way that, arguably, Microsoft's operating system and browser products did. 

A decision against Google could also hurt Mozilla, Apple and other companies that receive big payments from Google to make its search engine the default choice in their products.

The danger to Google may lie less in the trial's outcome than in the distractions and cautions imposed by its simple existence.

IBM and Microsoft both lost momentum in their markets during the course of their antitrust ordeals, even though they both ultimately won their court battles.

Companies hesitate and second-guess themselves when they know they're being watched by regulators. 

What's next: The trial is expected to last around two months. Any ruling could then be appealed.

In 2000, Microsoft faced defeat at trial and a judge ordered the firm be split in two — but a year later, the company largely reversed that loss on appeal. 

Editor's note: This story has been corrected to note that the trial is expected to last two months (not four).

Google's trial on federal antitrust charges

What's at stake in Google's antitrust trial

The historic case challenges the search giant's power just as AI has begun to disrupt the market.

Google

Big Tech

This week&#x27;s historic start of <a class="gtmContentClick" data-vars-link-text="Google&#x27;s trial on federal antitrust charges" data-vars-click-url="https://www.axios.com/pro/tech-policy/2023/08/04/google-search-trial-to-move-forward-with-narrowed-case" data-vars-content-id="fa566bf6-3863-4df6-a133-996ab255facc" data-vars-headline="What&#x27;s at stake in Google&#x27;s antitrust trial" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/pro/tech-policy/2023/08/04/google-search-trial-to-move-forward-with-narrowed-case" target="_self">Google&#x27;s trial on federal antitrust charges</a> will test the tech giant&#x27;s two-decade-long dominance of the internet search field as never before.Why it matters: Google&#x27;s standing as the online world&#x27;s most-used answer oracle is being challenged in court at the exact moment that the company also faces a technological earthquake in the form of<a class="gtmContentClick" data-vars-link-text=" ChatGPT and generative AI" data-vars-click-url="https://www.axios.com/2023/06/05/six-months-chatgpt-openai-generative-ai" data-vars-content-id="fa566bf6-3863-4df6-a133-996ab255facc" data-vars-headline="What&#x27;s at stake in Google&#x27;s antitrust trial" data-vars-event-category="story" data-vars-sub-category="story" data-vars-item="in_content_link" href="https://www.axios.com/2023/06/05/six-months-chatgpt-openai-generative-ai" target="_self"> ChatGPT and generative AI</a>.

After a record economic expansion, the coronavirus pandemic sent the U.S. economy into a recession as unemployment soared to staggering heights. The country now faces urgent questions about how much stimulus is needed for reeling consumers and businesses, and what a recovery might look like.

Scott Rosenberg

Stories

What's at stake in Google's antitrust trial

AI could choke on its own exhaust as it fills the web

Nvidia's knockout earnings give tech a giddy whiff of 1995

AI-generated books are infiltrating online bookstores

People are becoming more robotic — and AI could make it worse

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