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Reddit has long attracted millions of users to its site through Google, with many even appending the word “Reddit” to their search queries for better answers. But as search traffic dries up amid the shift to AI-powered search, Reddit is rethinking its relationship with the open internet. In itsthird-quarter earnings callon Thursday, the company announced it’s transitioning to a primarily “logged-in experience.” The move is designed to protect its data from AI scraping, allowing the company to instead forge lucrative licensing deals with model providers. But just as important, such a shift could help Reddit to increase its revenue even as it faces daily active user declines in its largest market, the U.S. Overall, Reddit’s global daily active users were flat quarter-over-quarter in Q3, reaching 130.3 million, while U.S. daily active users dropped from 53.2 million in Q2 to 50.7 million in Q3 and were down 2% year-over-year. The company is not alone in seeing such declines; the shift to an AI-centered web has impacted most websites and publishers by now, leading to fewer click-throughs, as AI summaries provide answers that don’t require website visits and Google’s traditional “ten blue links” have reduced relevance. (The change is now evenimpacting Google’s bottom line, itsearningsrevealed.) But at Reddit’s scale, the numbers associated with such a decline are enormous. The company said search traffic referrals dropped by more than 1 million referrals on average per week in October. It warned that if the trend continues, daily active users could decline to a low-double-digit percentage by next quarter. (To play that out: a hypothetical 10% to 12% decline could bring Reddit to roughly 115 million to 117 million daily actives, down from 130.3 million in Q3. That’s a huge drop!) At the same time, Reddit has gotten significantly better at monetizing its audience even as its growth weakens. Revenue increased 53% year-over-year to $895 million, ahead of Wall Street’s expectations of about $875 million. Net income rose 74% to $283 million. Advertising revenue grew 54% to $847 million while nonadvertising revenue, which includes its AI data-licensing business, grew 35% year-over-year to $48 million. And despite a 2% year-over-year decline in U.S. daily users, Reddit’s average revenue per daily active user in the U.S. rose 53% to $13.82. Globally, average revenue per daily active user increased 36% year-over-year to $6.87. Shifting to a logged-in experience could boost those numbers even higher because logged-in users are typically worth more to advertisers. Unlike the logged-out users who often find their way to the site via search, logged-in users provide more signals about their interests and behaviors, which helps to better target and personalize ads. Those same signals would also help Reddit provide a more personalized experience to its users, which includes personalized feeds, recommendations of new communities to subscribe to, and pushes to vote, comment, participate, and more. (This also includes pushing recommendationsto its new algorithmic “For You” feed, announced yesterday, which will combine posts from communities users belong to alongside other recommendations based on their interests.) Still, a change of this magnitude could be the canary in the coal mine for the open web. “I don’t know about you, but as someone whose life has been defined by the open internet, it’s a big change for me,” wrote Reddit co-founder and CEO Steve Huffman ina post published on Reddit’s site. “But I’ve come to the conclusion that this is the right decision for our platform and the right decision for our business,” he said. The company notes that the shift to the logged-in experience will not be an overnight change; it will first run tests in select markets outside the U.S. in the fourth quarter. It doesn’t yet have a timeline for when the change will be rolled out to all its users worldwide. It also acknowledged that access to a logged-out front page is important. Plus, Reddit pointed out that being logged in doesn’t mean having to give up anonymity, nor will it remove its option to browse anonymously through its “incognito mode” experience, which is being rebuilt. “There are still plenty of questions that are unanswered, particularly around where the boundaries should be between logged-in and logged-out experiences,” Hoffman wrote. “This is a big evolution for Reddit, and not one we’re taking lightly. But I believe it’s the right next step for the platform and for our future.”
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Anthropic has rolled out new features for Claude Enterprise as businesses look for ways to get more out of AI tools while keeping costs in check. The update gives administrators a better picture of how employees use Claude, what they think of it and where it could be more useful. It also changes how teams manage their usage budgets, making it easier to share spending allowances instead of relying entirely on individual limits. All three features are now available to Enterprise customers.
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Ahead of the holiday season, Amazon has added more than 100 new shopping-related capabilities to Alexa, including managing subscriptions and lists, updating delivery instructions, solving payment issues, and answering questions about Prime subscriptions. The update allows you to use Alexa to create lists, register them, see what’s on them, and add or edit items. You can also manage subscriptions with the AI bot — for example, you could ask it to change deliveries for an item to every three months instead of every month — and edit delivery instructions, such as change an address or add drop-off details. Users also can now ask Alexa about their Prime or Audible subscriptions, and ask it questions about billing or payment issues. Amazon has launched various AI-centric shopping features this year, includinga shopping assistantand a way to notify users aboutnew products and offers. The company said that since the start of the year, the number of people using agentic features has grown 8x, and over the last 12 months, over 400 million consumers have used Alexa for shopping.
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The race to build the winning AI assistant is on, and investors are spreading out their bets. On Thursday, another AI app,Wabi, now describing itself as a “personal agent,”saidit has raised $55 million at a $1.25 billion valuation. Founded by Eugenia Kuyda, who previously founded the AI companion startup Replika, Wabi originally focused on allowing anyoneto build apps using prompts. Last month, however, the startupannounceda pivot of sorts to become an AI messenger. The idea now is that the new Wabi — or Wabi 2.0, as it was called — could build the interfaces you need to get things done as part of its role as your personal AI agent. The company suggests Wabi could be used to build mini apps for things like meal planning, tracking local restaurants, planning date nights, creating fitness plans, designing specialized trivia games, and more. The additional funding indicates that Wabi’s investors agree that its new agentic angle has some potential, especially given the market around AI agents is hot right now, with viral AI agent Instinct pulling in another billionat a $10 billion valuationin September. Even Tolan, which makes a cute, Muppet-like AI companion to help people navigate life,just raised $30 million. “Eugenia has a unique sense for where AI is headed and a track record of great taste in building it,” said Alex Lim, general partner at IVP, which led the new round, in a statement. “She has a clear vision for how people will interact with AI, one that goes far beyond the text box or command line. Wabi is the expression of that vision, and we’re thrilled to support her.” Other participants in the round included Andreessen Horowitz (a16z), Forerunner, Amazon Alexa Fund, and angel investors like Shopify CEO Tobi Lütke, Salesforce CEO Marc Benioff, former Yahoo! head Marissa Mayer, former Twitter CEO Dick Costolo, and one half of The Chainsmokers, Alex Pall.
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Andy Elder and Arjun Mathur were Stanford roommates who both studied computer science before spending a decade at Palantir. Elder led product design for a team of 800 people building software for U.S. defense and intelligence agencies, while Mathur served as a senior vice president in the company’s commercial practice. When the friends decided to build a startup early last year, there was no question they would do it together. Despite having no direct background in architecture, Elder and Mathur were troubled by a growing problem: Fewer buildings are constructed in the U.S. today than afew decades ago, as development costs have surged. “We’ve gone from dial-up internet to superintelligent AI, but our ability to build the physical world around us has actually decreased,” Mathur told TechCrunch. Believing AI can boost productivity across the architecture, engineering, and construction (AEC) industry, they set out to buildDream, a startup developing built world models that automate building design and engineering. Dream has emerged from stealth with $17 million in seed funding led by Andreessen Horowitz, alongside other backers, including SV Angel, XYZ, and Zigg Capital. The startup aims to replace cumbersome, outdated AEC tools like Autodesk’s AutoCAD and Revit. If you sit next to an architect or a structural engineer, you’ll notice that they are still “drawing” every piece of their designs part by part on legacy software, Mathur said. “AI really plays no role in that equation.” While a standard LLM like ChatGPT can generate an image of a building, the result won’t be structurally sound. Dream, by contrast, is grounded in real physics and construction standards. Just as LLMs learn from text, Dream’s world model is trained on more than 100 million square feet of building data gathered from permit archives across the United States. “Our model actually understands what’s within those walls. What materials are used, what the beams are made of, and how much weight they can support,” Elder said. The startup calls its approach “structural cognition” because its model generates structurally precise designs that account for internal building elements like plumbing and HVAC. Dream has already begun selling its product to AEC professionals and developers, who use the model to conceptualize building designs and estimate overall costs, according to the founders. The platform is already deployed across 10 active projects in Texas and California. While Dream isn’t the only company attempting to update AEC software with AI — other startups working on this includeMotif,Snaptrude, andArcol— Elder and Mathur claim that they are the only ones that developed a world model that instantly designs whole buildings. Kimberly Tan, a partner at Andreessen Horowitz, said that while the firm first invested in Dream over a year ago, when the startup model was just an idea, she has been extremely impressed with their progress. “I have not seen anybody take the technical approach,” she said. “They’re doing everything based on their own models.”
A top executive of a Singapore AI cloud firm that was accused of illegally selling Nvidia chips to China could also have been a Chinese spy,anonymous sources told the New York Times. The executive, Alice Huang (or Huang Le), worked for Megaspeed and was photographed as one of multiple people hanging out with Nvidia CEO Jensen Huang during various business dinners in the Singapore region. U.S. intelligence agencies had been surveilling Alice Huang to learn more about her ties with China for about a year, the Times reports. The concern, sources said, was that Alice Huang had grown so close to Jensen Huang that she could have been gathering information about Nvidia’s plans and the CEO’s efforts to convince the Trump administration to allow it to ship more advanced technology to China. But an Nvidia spokesperson denied this, telling TechCrunch that the CEO’s relationship with the Megaspeed executive was the same as with any other regional customer. “Jensen’s interactions with Ms. Huang are not unusual or unexpected. Meetings with customers are part of a C.E.O.’s job; Jensen talks with thousands of customer executives every year,” the spokesperson said in an emailed statement. The company also said, “Our regional cloud customers receive ordinary business information — not sensitive NVIDIA trade secrets — and zero information relevant to national security.” In 2025, theTimes reportedthat the Commerce Department had investigated Megaspeed over concerns that it was helping Chinese companies sidestep AI chip export regulations by reselling restricted chips to them. Alice Huang was said to be a top executive for the firm at the time.
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French AI company Mistral has released the weights for its trillion-parameter open source AI model Mistral Large 4 (ML4), allowing businesses and governments to download and deploy the system themselves. Nicknamed “Le Chonk,” the model was firstintroduced earlier this month. The release comes as competition between open-weight AI developers like Mistral and closed-model providers like OpenAI and Anthropic heats up, with the former arguing that businesses and governments shouldn’t have to rely on outside AI companies for access to advanced capabilities. That argument may hold more weight in cybersecurity, where organizations want more control over their data and systems. Or, as Mistral’s CEO, Arthur Mensch, explained, AI should “be a tool for empowerment, not dominance.” With Chonk, Mistral doubles down on that position, arguing that it’s able to achieve “state-of-the-art performance” at a “fraction of the compute and capital committed by closed labs.” The release of the model’s weights — the numerical training that animates the system — ensures that other companies and government agencies will now be able to deploy ML4 for their own purposes. Mistral says that its model is comparable in terms of performance with a Chinese open-weight competitor, GLM-5.3, which waspreviously consideredone of the best open-weight models in the world — particularly when it comes to cyber work. However, Mistral’s model uses 47 percent fewer tokens per task, making it significantly more economical than GLM-5.3. The company also claims that the model outranks all other open models when it comes to agentic coding tasks on Artificial Analysis’ Coding Agent Index, an AI benchmarking site. “Amid growing cyber threats, ML4 brings state-of-the-art sovereign cyber defense capabilities to enterprises and governments globally,” the company said Thursday. “Enterprise and public sector institutions can now download, deploy, and own frontier AI to detect, analyze, and respond to threats across code and IT infrastructure.” The weights for ML4 are being made available on Hugging Face and via its API. Pierre Stock, Vice President of Science at Mistral, told TechCrunch that the release of the model’s weights meant that organizations will have more control over how they use AI to defend themselves. “Concretely, it means that, for instance, as a business company or as a government, you’re able to have access to frontier intelligence to defend yourselves against cyberattacks. Access that can’t be cut off by definition because the model is open-weighted,” he said. Stock added that the model could be used to “identify, coordinate, and respond in real time to major security incidents, and that the open sourcing means that companies can deploy this model on-prem in their own ecosystem. While advances in AI cybersecurity are helping security professionals to find bugs at a much higher rate than before, Stock continued, he believes it’s important for companies to “provide [this same] capability to everyone…as soon as possible to ramp up and to strengthen the ecosystem,” given that “some malicious actors might try to actually leverage their own technology to attack.” Separately, Stock addressed concerns about recent incidents involving rogue AI agents, acknowledging the risks but cautioning against overreacting. “We don’t want to fearmonger people. We think it’s a problem that is solvable. It’s a hard problem to have good security,” he said.
Apps in the consumer voice AI world seem to be converging, asGranola, known forits meeting notetaker,launched a dictation feature today. This comes months after Wispr, known for its dictation tool, launcheda meeting notetaker. Granola’s dictation currently works on Mac just like any other such tool. Users can press the “Fn” key and start speaking, and the tool cleans up and formats their speech and posts the final text. This feature works across all apps, so users can post notes, dictate prompts, and reply to emails and messages. Granola now does voice typing. Unlimited words, for free.Granola already writes your meeting notes. Now it can do the typing for you, in any app.pic.twitter.com/et60VtwWA0 The company said that the feature will land on iOS and Windows soon. Granola and Wispr are valued at$1.5 billionand$2 billion, respectively. Granola is focused on meeting-related automation and notetaking. On the other hand, Wispr is trying to build its own models through a research lab, which is exploring different human-computer interfaces. The feature mashups are not exclusive to Granola and Wispr. Other voice startups such asFireflies,Speechify, andMonologuehave converged into multifeature apps with meeting notetaking and dictation capabilities. Until earlier in the year, the play was around having a focused app that does one thing well. But now, all of these apps are thinking about how to get more out of capturing users’ speech.
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Google is expanding ads in AI Mode to more countries, bringing sponsored results to more users of its AI-powered search feature. The company is also introducing a new ad format in the US that will allow sponsored placements to appear as users ask follow-up questions during an ongoing conversation. The changes will affect how ads appear alongside AI-generated answers and give advertisers more opportunities to reach users as they explore topics, compare products and look for services through Google Search.
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Google has introduced a new immersive explorations feature in the Gemini app. As the name implies, the new feature, designed for students, offers an interactive way to learn about different subjects like history, engineering, and space through visual experiences. The immersive explorations in the Gemini app allow users to explore topics from microscopic systems to deep space, with interactive scenes. It is currently available in select languages, including English, Indonesian, and Hindi.
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Google rolled out a major upgrade for Workspace by allowing Gemini AI to analyse and visualise user data in Sheets. Now, the Mountain View-based tech giant has announced multiple new features and performance enhancements for Gemini in Google Sheets. The AI tool now offers faster response times for data processing and enhanced cell-over-cell consistency. Gemini in Google Sheets has also been upgraded to support more cells in each query. The tech giant is currently rolling out the latest features and upgrades to various users in phases. However, only paid subscribers will be able to access these Gemini AI functionalities in Google Sheets.
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Ahead of the holiday season, Amazon has added more than 100 new shopping-related capabilities to Alexa, including subscription and list management, updating delivery instructions, solving payment issues, and answering questions about Prime subscriptions. The update allows you to use Alexa to create lists, register them, see what’s on them, and add or edit items. You can also manage subscriptions with the AI bot — for example, you could ask it to change deliveries for an item to every three months instead of every month — and edit delivery instructions, such as change an address or add drop-off details. Users also can now ask Alexa about their Prime or Audible subscriptions, and ask it questions about billing or payment issues. Amazon has launched various AI-centric shopping features this year, includinga shopping assistant, and a way to notify users aboutnew products and offers. The company said that since the start of the year, the number of people using agentic features has grown 8x, and over the last 12 months, over 400 million consumers have used Alexa for shopping.
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