Tech
The other election night winner: Perplexity
On Tuesday, two AI startups tried convincing the world their AI chatbots were good enough to be an accurate, real-time source of information during a high-stakes presidential election: xAI and Perplexity.
Elon Musk’s Grok failed almost instantly, offering wrong answers about races’ outcomes before the polls had even closed.
On the other hand, Perplexity offered helpful, real-time election insights and maps throughout the night, linking to reliable resources and offering historical context where appropriate.
Perplexity took a risky bet, and it paid off.
Late last week, the startup announced the launch of its election information hub, featuring real-time maps populated with voting data from Democracy Works and the Associated Press, the same information sources that power Google’s election map. This approach was different from most other AI chatbots, such as OpenAI’s ChatGPT or Google’s Gemini, which simply refused to answer questions related to the election.
It’s understandable why most AI labs sat this election out. It was the safe and responsible choice for many of them, as they’ve been plagued by embarrassing hallucinations at some point or another in the last year.
In particular, OpenAI recently released its Google competitor, ChatGPT Search. But the Sam Altman-led startup didn’t trust the feature to answer questions about this election, directing users to Vote.org instead. ChatGPT Search is still an early product, which is too unreliable for people to use in everyday scenarios, and OpenAI seems to have recognized that.
In contrast, Perplexity has been testing its Google competitor out in the real world since December 2022 and clearly felt it had enough data to give this election a shot.
Perplexity’s election night success could set it back in its ongoing fight with media companies; specifically, Dow Jones’ recent lawsuit claiming the startup competes with media companies for the same audiences. Despite the many outbound links within the AI chatbot’s answers, Perplexity’s election hub was itself a destination on election night, and it didn’t require users to venture off the app to get all their information. It certainly seems like Perplexity was competing with media companies, who were also vying for eyeballs on election night, even though Perplexity collects its information from those outlets. Perplexity CEO Aravind Srinivas even claimed “record traffic” the day before and clearly hoped to maintain that momentum.
While Perplexity had deals with Democracy Works, the AP, and a few other media companies to power election features, the startup also indiscriminately used live election coverage from other media outlets such as CBS, CNN, and the BBC. Sure, Perplexity offered attribution, but the company hasn’t announced any revenue-sharing partnerships with these outlets and it’s unclear if any money changed hands.
How Perplexity fared on Election Night
First, let’s start with Perplexity’s election features that had nothing to do with generative AI: the charts.
People typically love visual election charts, clicking into them and seeing granular data on a state-by-state level. It was a smart move for Perplexity to build these out and ensured their AI systems were not the sole source of information in the app.
When visiting Perplexity’s election hub, users were met with a familiar-looking electoral map of the United States, with some states blue for Kamala Harris and others red for Donald Trump. Obviously, Perplexity didn’t reinvent the wheel with this feature — copying the display Google and every TV network shows — but they didn’t need to. Throughout the night, this map appeared to update every minute or so, reflecting the information on the Associated Press’ website. It was a good way to follow the election.
There were bugs in Perplexity’s map periodically throughout the night. Srinivas responded to users on X that were reporting flaws, such as Perplexity not reporting the percentage of votes that had been counted, and quickly addressed them.
Perplexity offered another familiar feature, a state-by-state tracker, giving real-time information about swing states.
Now for the AI part. When asked questions about the current state of the presidential race, Perplexity answered with hedged responses that still gave mostly accurate information. These answers weren’t as insightful as a commentator on CNN, nor as entertaining as The New York Times’ election needle (which made a comeback this year). However, Perplexity only showed a few small hallucinations and largely produced relevant facts in a timely manner. That’s more than I can say for any other AI chatbot on the market.
When trying to answer follow-up questions about Harris’ lead in “Blue Wall” states, Perplexity did hallucinate slightly. It was referencing polling data, when it should have been referencing real-time votes at this point in the night. However, the general information here was in the right ballpark, and other AI chatbots just wouldn’t answer this question.
Here’s another follow-up question we tried: What ballots have yet to be counted in swing states? It was hard to find an answer to this question elsewhere. Granted, the only useful answers here were for Pennsylvania and North Carolina, but at least Perplexity didn’t hallucinate for the other states.
This election was the first to feature AI chatbots as a source of information around our democratic processes. However, this will not be the last election where that’s the case. Well-funded AI startups are fighting to deliver information to people in new, faster, more concise ways. Accuracy will be key to success here moving forward. So far, Perplexity has the early lead.
Tech
ElevenLabs’ AI voice generation ‘very likely’ used in a Russian influence operation
Generative AI has a plethora of well-documented misuses, from making up academic papers to copying artists. And now, it appears to be cropping up in state influence operations.
One recent campaign was “very likely” helped by commercial AI voice generation products, including tech publicly released by the hot startup ElevenLabs, according to a recent report from Massachusetts-based threat intelligence company Recorded Future.
The report describes a Russian-tied campaign designed to undermine Europe’s support for Ukraine, dubbed “Operation Undercut,” that prominently used AI-generated voiceovers on fake or misleading “news” videos.
The videos, which targeted European audiences, attacked Ukrainian politicians as corrupt or questioned the usefulness of military aid to Ukraine, among other themes. For example, one video touted that “even jammers can’t save American Abrams tanks,” referring to devices used by US tanks to deflect incoming missiles – reinforcing the point that sending high-tech armor to Ukraine is pointless.
The report states that the video creators “very likely” used voice-generated AI, including ElevenLabs tech, to make their content appear more legitimate. To verify this, Recorded Future’s researchers submitted the clips to ElevenLabs’ own AI Speech Classifier, which provides the ability for anyone to “detect whether an audio clip was created using ElevenLabs,” and got a match.
ElevenLabs did not respond to requests for comment. Although Recorded Future noted the likely use of several commercial AI voice generation tools, it did not name any others besides ElevenLabs.
The usefulness of AI voice generation was inadvertently showcased by the influence campaign’s own orchestrators, who – rather sloppily – released some videos with real human voiceovers that had “a discernible Russian accent.” In contrast, the AI-generated voiceovers spoke in multiple European languages like English, French, German, and Polish, with no foreign-soundings accents.
According to Recorded Future, AI also allowed for the misleading clips to be quickly released in multiple languages spoken in Europe like English, German, French, Polish, and Turkish (incidentally, all languages supported by ElevenLabs.)
Recorded Future attributed the activity to the Social Design Agency, a Russia-based organization that the U.S. government sanctioned this March for running “ a network of over 60 websites that impersonated genuine news organizations in Europe, then used bogus social media accounts to amplify the misleading content of the spoofed websites.” All this was done “on behalf of the Government of the Russian Federation,” the U.S. State Department said at the time.
The overall impact of the campaign on public opinion in Europe was minimal, Recorded Future concluded.
This isn’t the first time ElevenLabs’ products have been singled out for alleged misuse. The company’s tech was behind a robocall impersonating President Joe Biden that urged voters not to go out and vote during a primary election in January 2024, a voice fraud detection company concluded, according to Bloomberg. In response, ElevenLabs said it released new safety features like automatically blocking voices of politicians.
ElevenLabs bans “unauthorized, harmful, or deceptive impersonation” and says it uses various tools to enforce this, such as both automated and human moderation.
ElevenLabs has experienced explosive growth since its founding in 2022. It recently grew ARR to $80 million from $25 million less than a year earlier, and may soon be valued at $3 billion, TechCrunch previously reported. Its investors include Andreessen Horowitz and former Github CEO Nat Friedman.
Tech
YouTube’s new auto-dubbing feature is now available for knowledge-focused content
YouTube announced on Tuesday that its auto-dubbing feature, which allows creators to generate translated audio tracks for their videos, is now rolling out to hundreds of thousands more channels.
YouTube first introduced its AI-powered auto-dubbing tool at Vidcon last year, which was only being tested with a limited group of creators. This tool could help make content on the platform more accessible and easier to understand for people all over the world.
The auto-dubbing feature is now available to channels that are focused on informational content, such as videos that teach viewers how to cook or sew. It’ll expand availability to other types of content soon.
To use the feature, simply upload a video as you normally would. YouTube will automatically detect the language and create dubbed versions in other languages. The tool supports English, French, German, Hindi, Indonesian, Italian, Japanese, Portuguese, and Spanish.
YouTube’s auto-dubbing utilizes Google’s Gemini capabilities to replicate human speech. However, the company cautions that the feature may not perform perfectly, as the technology is still in its early stages of development.
“We’re working hard to make it as accurate as possible, but there might be times when the translation isn’t quite right, or the dubbed voice doesn’t accurately represent the original speaker. We really appreciate your patience and feedback as we continue to improve,” the company wrote in Tuesday’s blog post.
The company also reminded creators that they can look forward to another upcoming update called “Expressive Speech,” which is designed to help replicate the creator’s tone, emotions, and even the ambiance of their surroundings.
Tech
CarDekho SEA raises first-ever outside funding, co-founder says he’s interested in acquisitions
CarDekho SEA, a Singapore-based auto financing service platform, has raised $60 million in equity, valuing the company at over $300 million, from Navis Capital Partners and Dragon Fund. This is its first round of external funding, following a previous investment of $40 million from its parent company, CarDekho Group.
The company, the Southeast Asia unit of India’s CarDekho Group, will use the funding to support its further expansion into Southeast Asia, focusing on the used car and bike financing industry in Indonesia and the used auto financing sector in the Philippines, Umang Kumar, co-founder and president of CarDekho, said in an interview with TechCrunch.
Kumar told TechCrunch that acquiring a used car financing platform or insurance brokerage platform in Indonesia and the Philippines could be one of its strategies to increase their presence in the region.
“We do have a couple of assets lined up in terms of what we will look at. You may hear something along those lines within a month or two…we will actively look at acquiring activities. The idea is not completely organically built. So we will look at some inorganic acquisition as we build out our business across Southeast,” Kumar said.
Founded in 2020, the company already has a significant presence in Indonesia (OTO Indonesia) and the Philippines (Carmudi Philippines and Zigwheels Philippines). It’s also in a few other Southeast Asian markets, such as Thailand, Singapore, Malaysia, and Vietnam, and is eyeing expansion into new markets in 2026.
Kumar explained that the company initially had a joint venture partner in Indonesia but later bought out the local partner entirely, becoming the 100% owner of the entity between 2019 and 2020. The company’s acquisition spree continues as it acquired Carmudi, which operates in the Philippines, Indonesia, and Thailand, in 2021 to expand into SEA, Kumar explained.
Unlike its peers, CarDekho SEO acts as a comprehensive aggregator for auto financing services. Its main competitor used to be Moladin, which has now pivoted to become a full-fledged lender.
CarDekho SEA highlights its edges, including its technology-driven loan procedures, asset-light marketplace approach with no credit risk, an extensive network of used car dealers and agents, and solid collaborations with financial institutions. CarDekho SEA will use AI and machine learning solutions to reduce fraud and credit risks and provide more data to their financing partners to succeed in a changing technological environment.
Since its launch, the company has experienced significant growth, with over 200,000 disbursements and over $1 billion in loans disbursed. This represents a 50x increase in gross merchandise value over the past three years and establishing partnerships with over 50 financiers and 20,000 dealers and retail agents.
Its primary customers are small-scale used car dealers, with many having less than ten cars in stock or no physical showroom at all. “Due to their sub-scale presence, financiers often find it challenging to serve them directly,” the CEO said. “Our platform aggregates demand from these individual dealers, connecting them to a wide network of financiers and offering access to a variety of financial products for themselves and their customers—products that were previously inaccessible to them.”
The company is in the scale-up phase, generating upwards of $50 million in revenue annually through per-loan commissions with the financiers.
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