Tech
DuckDuckGo installs are up 30% as users reject being ‘force-fed’ Google’s AI Search
Last week, after Google announced its huge overhaul to Search, I overheard a woman on the phone saying she was switching to DuckDuckGo because you can “opt out of using AI.”
“Google just isn’t Google anymore,” she said. It seems that others had the same idea.
At I/O, Google’s annual developer conference, the company said its traditional list of blue links is being replaced by an AI agent that answers queries, executes tasks, and runs background monitoring agents.
The backlash has been sharp.
Some have argued it will kill the open web, while others shared concerns that AI overviews surface inaccurate responses and take away control from users who might not want to use AI. It also overcomplicates simple things. Just try to Google the word “disregard.”
In response to Google’s changes, many have begun defecting to DuckDuckGo, a privacy-focused alternative that has never been able to break past Google’s dominance, accounting for only around 2% of the U.S. search market.
During Google’s search antitrust trial in 2023, DuckDuckGo CEO Gabriel Weinberg testified that Google’s exclusive default search contracts harmed its ability to pitch itself as the default on other browsers.
“Google is force-feeding AI with no way to opt out,” Weinberg said Tuesday in a statement, referring to Google’s Search overhaul. “As a result, their results are getting worse, not better. We want to be the place that puts users in charge and allows them to decide how much or how little AI they want.”
Now it seems that DuckDuckGo is beginning to benefit as consumers flee AI.
DuckDuckGo said U.S. app installs went up 18.1% week-over-week on average during the May 20 to May 25 period, compared to May 13 to May 18. The company said that growth was sustained for six consecutive days and peaked at 30.5% on May 25. On iOS, the rate of install is even higher, with week-over-week growth hitting a 33% average, peaking at 69.9%.
The search engine also said visits to its AI-free search page, noai.duckduckgo.com, averaged 22.7% WoW growth, peaking at 27.7% on May 24. The page turns off every AI feature, like AI-assisted answers and AI-generated images, by default.
The company said the trend is stronger in the U.S., and that DuckDuckGo continued to gain users over the Memorial Day weekend, when it usually sees a dip in traffic.
DuckDuckGo offers its own AI product called Duck.ai. It’s free and doesn’t require users to make an account but provides access to models, including Anthropic’s Claude 4.5 Haiku, Meta’s Llama 4 Scout, Mistral’s Small 3 24B, and OpenAI’s GPT-5 mini. All chats are private because DuckDuckGo strips the user’s IP address before requests reach model providers, deletes conversations within 30 days, and prevents chats from being used for training.
“Not only do we respect user choice, but also user privacy,” Weinberg said. “Everything you do in DuckDuckGo is private; we don’t collect search histories or chats and nothing is used for AI training.”
DuckDuckGo also offers Search Assist, which is similar to Google’s AI overviews, and an AI Image Filter that filters out AI-created images from search results.
Kamyl Bazbaz, DuckDuckGo’s chief communications and policy officer, said both of those AI features are among the company’s most popular, despite their differing ethos.
“People just want a choice,” Bazbaz said.
TechCrunch has reached out to Google for comment.
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Tech
VC-backed startups commit more fraud, and researchers think they know why
A new report from the U.K.’s Imperial College and France’s Emlyon Business School has mapped out the ways Silicon Valley’s VC-backed founders commit fraud — and the role investors play.
For the report, published online in June, researchers built a database of tech founders and companies who faced civil and criminal securities fraud prosecutions from the SEC and DOJ between 2000 and 2023.
Some famous cases of tech founders being convicted of fraud over the past few years include Frank’s Charlie Javice, Kalder’s Gökçe Güven, Terraform Labs’ Do Kwon, and GameOn’s Alexander and Valerie Lau Beckman.
All over X, the tech industry’s social network of choice, the topic of fraud and its gentler word “scam” are discussed, as people debate the limits of ambition and success. “Fraud is much more common and normalized in the startup world than we are ready to admit and accept,” Tim Weiss, one of the authors of the report, told TechCrunch.
He pointed to another report from the University of Toronto (UT), also published in June, that looked at 654 fraud cases against U.S. VC-backed startups from 2000 to 2023. It found that fraud is rare overall but that companies with venture funding were more likely to face fraud charges compared to companies that didn’t take venture funding. It found that startups launched during overheated markets with weak oversight and investor due diligence are 19% more likely to later commit fraud.
“The problem here is not just the founders but also those that set and reinforce, at times unreasonable, expectations of high growth,” Weiss said. He added that the current frothy AI startup environment is exactly the kind of conditions that tempt founders into fraud.
Weiss’ paper, co-authored with Emlyon researcher Nevena Radoynovska, discusses what may happen when founders face a gap between how investors want their startups to perform and how they are actually performing. They may turn to “façading,” as the paper calls it, in three increasingly dishonest stages: surface, reinforced, and deep.
Surface façading is when founders lie about how successful the company is or is becoming. It’s common during the early stages of a company when it’s pitching its vision to investors. It’s a level of dishonesty higher than just pitching an aspirational vision or an astronomical total addressable market.
After the surface façade, the founder may move into “reinforced façading,” according to the paper, which involves creating fake evidence to back up the lies told.
The paper gave the example of a mobile testing app that created fake customer contracts and invoices, recorded fake revenue, and used those fake documents to convince VCs to back it at a unicorn valuation.
From there founders may enter “deep façading,” where they extend their lies to areas like making their tech seem more capable than it is, complete with fake demos. This involves entire “parallel realities” built on lies, Weiss said.
But investors aren’t always hapless victims, the researchers found. Beyond the outsized growth expectations that push founders toward fraud in the first place, some investors unwittingly “co-create fraud,” Weiss said, by continuing to back founders—sometimes the very same ones— who’ve previously been accused of fraud, thereby normalizing it to a certain extent.
In fact, the UT report found little evidence that alleged fraud prevents founders from raising funding for new startups, even when those fraud cases received major media attention.
“New investors and the broader VC market do not penalize past misconduct,” the UT report said, which is “also consistent with the Silicon Valley culture that embraces failure regardless of the cause.”
The study also found that startups whose boards were controlled by the founders were twice as likely to commit fraud compared to those with investor-controlled or shared-controlled boards.
Even more interesting, it reported that after VC-backed startups go public, they are more likely to face securities class-action lawsuits within two years compared with private equity-backed companies that go public.
The fact that companies are staying private longer also contributes. Public companies undergo more scrutiny than private ones. “Founders do not have a professional body or association that could govern or enforce rules of entrepreneurial and investor conduct on how to be a good founder and what reasonable growth expectations are,” Weiss said.
Weiss proposes that the SEC routinely investigate and conduct formal audits on startups after they hit a large “investment threshold.” Currently, the SEC typically waits for something like a whistleblower complaint or a lawsuit from investors or former employees to trigger an investigation.
Weiss’ paper also suggests that investors should take more accountability when pushing founders to hit extreme growth metrics.
“Investors should be held liable for corporate governance failures and violating their fiduciary duties,” he said. He wants to see more research into “entrepreneur-investor dynamics” that could help prevent fraud and also “balance the overemphasis on the entrepreneur as the sole perpetrator of wrongdoing.”
Fraud is rarely a solo act, in other words, and until investors are held to account for the pressure they exert, founders will likely keep facing the temptation to fake it until they make it.
This piece was updated.
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Tech
Fresh off its Wiz payout, Index Ventures raises $2B across three funds
Index Ventures has raised $2 billion in fresh capital across three funds, the firm announced on Friday.
The 30-year-old firm raised $400 million for its new seed-focused fund and $900 million for its venture fund. Index also added $700 million to a $1.5 billion growth fund raised in 2024, bringing its total available capital to $3.5 billion.
The fresh capital haul comes two years after Index raised $2.3 billion across two funds, including $800 million toward a predecessor venture fund.
While Index has refrained from ballooning its fund sizes unlike several other VCs, the outfit continues to stand out for its strong recent performance.
Earlier this year, Index portfolio company Wiz completed its $32 billion sale to Alphabet. Index first invested in Wiz at the seed stage and became its largest outside shareholder with a 12% stake, a position likely worth $3.8 billion, according to Reuters’ reporting. Index was also an early investor in Figma, which went public last year.
Index’s AI bets include robotics company Physical Intelligence, inference platform Fireworks AI, and Anthropic, an investment made when the AI model maker raised capital at a $183 billion valuation last September.
Tech
Google nixes its Earth AI feature one day after launch, amid criticism it would spread misinformation
Google rolled out a new feature on Thursday that allowed users to deploy Nano Banana 2, its AI image generator, to create fabricated images inside its satellite imagery mapping app Google Earth. The whole point of this feature, Google said, was to get creative with geography.
But critics quickly pointed out that the tool could be used to create and spread misinformation. The tool, which was prompt-based and allowed pretty much any image to be superimposed over real maps, seemed like a recipe for a deluge of geospatial slop.
“There’s no way that this new AI image generation feature on Google Earth, one of the most reliable sources of visual evidence for journalists and researchers, could possibly be abused to spread misinformation online,” a BBC journalist posted sarcastically Thursday.
Now, only a day after the feature’s release, Google has scrapped it.
“We’ve seen geospatial professionals using this feature for a range of useful purposes, however we’ve also seen people sharing screenshots of generated imagery that appear to violate our policies,” the company said in a statement.
“We’re rolling back this feature in Google Earth while we work on implementing stronger guardrails,” Google added.
The criticism of Google’s tool is understandable, although it’s worth pointing out that, in the age of AI, most imagery that exists on the web can be easily manipulated. You don’t have to be a Photoshop whiz anymore to create semi-credible disinformation; you just need access to an AI image generator, which Google sells, as do many other AI firms.
