John Solly, a software developer and previous member of the Department of Government Efficiency (DOGE), is allegedly reported to have informed colleagues that he had kept critical Social Security Administration (SSA) data on a USB drive with plans to present it to his new employer, as per sources. Since October, Solly has held the position of chief technology officer for Leidos’ health IT sector, which possesses substantial contracts with SSA. Solly’s online footprint has been erased this week. Through his legal representation, Solly refutes any accusations of misconduct. Leidos has found no proof that supports the whistleblower’s allegations. Solly was a member of a 12-person DOGE team at SSA, contributing to various projects. A report, not specifying Solly or Leidos, was submitted to the SSA’s Inspector General, claiming that a former DOGE employee had taken SSA data to possibly use at a private-sector firm, anticipating clemency for any illegal acts. Solly asserts that he did not partake in the alleged conduct. Leidos stands as a prominent SSA contractor, continuing to gain substantial contracts despite cuts under DOGE’s initiatives.
Next week, Nvidia will launch its annual GTC developer conference in San Jose, California, featuring CEO Jensen Huang’s keynote on Monday at 11am PT / 2pm ET.
GTC, which represents GPU Technology Conference, serves as Nvidia’s primary yearly gathering, where the chip manufacturer often announces new products, promotes partnerships, and outlines its vision for the future of computing. Huang’s keynote is set to emphasize Nvidia’s contribution to the future of AI and computing. Attendees can view the two-hour speech live at the SAP Center or stream it online via the event’s website.
The comprehensive three-day event will concentrate on emerging developments in AI across various sectors, including healthcare, robotics, and self-driving vehicles, among others.
In the realm of software, there are speculations that Nvidia plans to unveil an open-source platform for enterprise AI agents, referred to as NemoClaw, as initially reported by Wired. This platform is expected to offer businesses a structured approach for creating and deploying AI agents (software capable of executing multi-step tasks independently) and would position Nvidia to align with similar products from companies like OpenAI.
Regarding hardware, the company is also said to be launching a new chip intended to enhance the AI inference process — the mechanism by which an AI model utilizes its acquired knowledge to produce responses or make decisions, differing from the initial training phase, which demands significantly more computational resources. Achieving faster, more cost-effective inference is generally viewed as one of the final hurdles to the widespread scalability of AI applications. This chip, if verified, would mark Nvidia’s latest effort to dominate not only the training sector, where it already holds an estimated 80% market share, but also the inference arena, which faces increasing competition from custom chips developed by Google, Amazon, and others.
Kevin Cook, a senior equity strategist at Zacks Investment Research, informed TechCrunch that participants should anticipate insights regarding the company’s plans concerning its partnership with Groq, the inference firm Nvidia reportedly acquired for $20 billion last year to license its technology. There is significant interest surrounding this collaboration, especially considering that Jonathan Ross, Groq’s founder, Sunny Madra, Groq’s President, and several members of the Groq team have agreed to join Nvidia to advance and scale the licensed technology.
Additionally, a variety of partnership announcements and demonstrations will highlight Nvidia’s AI capabilities across different industries.
Rox, a startup focused on creating autonomous AI agents to enhance sales productivity, has secured a new funding round that values the company at $1.2 billion, as reported by various sources.
This funding round featured a leading investment from returning supporter General Catalyst, two sources indicated. Rox and General Catalyst did not reply to TechCrunch’s inquiry for comments.
At the time of the fundraising, which concluded last year, Rox was anticipated to finish 2025 with an annual recurring revenue (ARR) of $8 million, based on insights from two individuals acquainted with the transaction.
In November 2024, Rox revealed it had secured a cumulative $50 million, comprising a seed round spearheaded by Sequoia and a Series A round led by General Catalyst, with contributions from GV.
Founded in 2024 by Ishan Mukherjee, the former chief growth officer of New Relic, Rox emerged after Mukherjee joined New Relic due to its acquisition of Pixie, a software monitoring startup he co-founded, in 2020.
The startup promotes itself as an intelligent revenue operating system that integrates with a company’s existing software systems—ranging from Salesforce to Zendesk—deploying numerous AI agents. These agents assess existing accounts, investigate potential clients, and refresh CRM software. By centralizing these functions, Rox strives to replace and simplify the multitude of disjointed software tools presently utilized by sales teams.
“Rox’s distinctive AI agent system enhances the CRM experience,” GV investor Dave Munichiello stated in a 2024 blog post when discussing the Series A funding. “These agents work tirelessly behind the scenes to track customer interactions, identify possible threats and opportunities, and even recommend the optimal course of action.”
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Rox faces competition across various sectors, including well-established revenue intelligence firms like Gong and Clari, alongside AI sales development platforms such as 11x and Artisan. Additionally, a continuous influx of new AI-native, comprehensive CRM competitors is entering the market, such as Monaco—a startup initiated by Sam Blond, the former president of corporate spending platform Brex—which emerged from stealth mode last month.
Based on Rox’s website, the firm counts Ramp, MongoDB, and New Relic among its clientele.
There’s an exciting new approach to enjoy YouTube: by channel surfing like a nostalgic viewer with cable TV. This inventive concept originates from London developer Steven Irby, who has recently unveiled a web app named Channel Surfer, which displays captivating YouTube videos in an interface that mimics a vintage TV guide.
Within the app, you can explore various topic-centric channels and click to tune in as if you were watching live television.
At its debut, there are 40 custom-made “channels” available, covering broad topics such as news, politics, sports, and lifestyle content, alongside a variety of music channels and those focused on technology.
The tech-oriented group features channels such as “AI & ML,” “Code & Dev,” “Space,” “Retro Tech,” “Tech & Gadgets,” and “Gaming.”
Image Credits:Channel Surfer
As you navigate through channels, you join the video currently playing in the middle of its stream. At the same time, the guide keeps you updated on upcoming content across all channels and the scheduled times for viewing. You can also scroll forward to see programming scheduled for the next 24 hours.
This creates a viewing experience similar to that of traditional live television — an approach that has gained popularity on free streaming platforms like Plex, Pluto TV, Tubi, and others, which feature live channels offering TV shows and movies. YouTube, for its part, remains the leader in TV streaming within the U.S.
Additionally, a small counter at the bottom of the screen shows how many other users are currently watching YouTube alongside you.
Image Credits:Channel Surfer
Irby mentions that he developed this concept to recreate a similar experience at the streamers, but specifically for YouTube videos, considering that discovering something appealing to watch can still be challenging.
“I created Channel Surfer because I’m weary of the algorithms and decision fatigue,” Irby remarked to TechCrunch. “I long for the days of channel surfing without the pressure of choosing what to watch. I want to relax and watch what’s on without contemplating what to select next.”
“My boomer Mom is a cable TV viewer. I desire the same experience but with my YouTube channels. Additionally, it’s oddly comforting to realize I’m watching alongside other viewers,” he expressed.
This initiative is part of Irby’s series of fresh experiments, as he is a 40-year-old tech industry expert who has spent the last decade traveling globally.
“I have an abundance of creativity arising from my long and eclectic journey. I can’t tolerate the notion of being a Jira ticket worker any longer,” he stated.
The app appears to be quite popular, with Irby noting that Channel Surfer’s newly launched website attracted over 10,000 views on its debut day.
Behind the scenes, Channel Surfer is currently a static Next.js site utilizing PartyKit and is hosted on Cloudflare. The channels and music it provides are selected by Irby himself. GitHub Actions runs a script that updates the data daily. There’s no existing back end yet.
And while Claude aided in the coding process, Irby emphasizes that the site is not “vibe-coded.”
The channels essentially feature YouTube embeds, inclusive of YouTube’s ads, so the app should comply with policy. Eventually, Irby hopes to extend the app to TV platforms like Fire TV, Google TV, and others. (It is also compatible with mobile devices and tablets, though it requires further development.)
At launch, Channel Surfer is a complimentary service that grants access to 175 YouTube channels and 25 music playlists. However, by subscribing to Irby’s newsletter, users can import their own YouTube subscriptions into the app.
The process is straightforward: You drag a “Channel Surfer” bookmarklet to your bookmarks bar, open your YouTube subscriptions, and click the bookmarklet. The process starts, directing you back to the app where you paste the copied JSON text into a designated box and hit the “import” button. This integrates your channels into Channel Surfer’s current lineup, potentially adding hundreds more channels to view in this manner.
The site’s existence reflects the web’s earlier days, brimming with creative experiments and fun. For Irby, that’s the intention.
“I’m passionate about demonstrating that the old web is still thriving,” he claims. “It’s simply hidden beneath a pile of clutter.”
On Thursday, Rivian unveiled the specifications and pricing information for its crucial R2 SUV, and the firm finally addressed a long-standing inquiry: When will buyers be able to purchase the anticipated $45,000 entry-level model?
The response is “late 2027,” as per the company’s press announcements. However, there’s a stipulation. The terminology Rivian is currently using indicates that the base model R2 will be “starting around $45,000.” This is a significant shift from the way the company had been previously marketing the R2 as “starting at $45,000” on its website. (Emphasis mine.)
This development is not exactly unexpected. As reported by TechCrunch last week, Rivian eliminated the “starting at $45,000” phrasing from its website in February.
Moreover, many factors have transformed since Rivian initially introduced the R2 in March 2024. The $7,500 federal EV tax credit is no longer available. Established automakers have ceased purchasing regulatory credits from companies like Rivian, effectively terminating a flow of what appeared to be free financial resources inflowing into its finances. Former President Trump’s disruptive tariffs have escalated the expenses of components and materials that Rivian utilizes for manufacturing its EVs.
In certain respects, Rivian faces even more significant obstacles to confront.
Sales of its R1T truck and R1S SUV experienced a downturn in 2025. Rivian is preparing to commence the construction of a massive factory in Georgia, where it anticipates producing hundreds of thousands of R2 SUVs (and eventually, R3 hatchbacks).
The firm is also attempting to orchestrate what could become one of the swiftest electric vehicle launches in American history with its more upscale R2 versions this year. Rivian is forecasting sales between 20,000 and 25,000 R2s by the conclusion of 2026. If successful, only Tesla’s Model Y would have achieved 20,000 in sales at a faster pace.
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Rivian informed TechCrunch that it aimed to commence with the more expensive performance R2 models “so owners can experience the absolute peak of the new platform first.”
“Launching with a high-spec trim is a standard practice in the industry and establishes the stage for the entire lineup by demonstrating the remarkable capability and acceleration that make a Rivian unmistakable, all while we ramp up production into our Premium and Standard configurations afterward,” stated the company.
Rivian plans to release a “Standard” R2 in the first half of 2027 that will begin at $48,490, with a range reaching up to 345 miles. The actual base model will only achieve around 275 miles. This could indicate how Rivian is approaching the base model cost — fewer batteries typically correlate with reduced expenses. The base model’s more limited range may also serve a dual purpose by motivating customers to spend several thousand dollars more for noticeably better range.
Rivian indicated to TechCrunch that the two Standard models share the same rear-wheel-drive system but did not specify if there are other distinctions besides the battery capacity that would account for the price variation. It also opted not to comment on its upselling tactics.
“We have implemented substantial internal engineering, development, and business initiatives to achieve our target price. We streamlined complexity by transitioning to a zonal electrical architecture, minimizing the number of electronic control units, and employing our in-house drive units,” the company stated. Rivian noted it also utilized lessons learned from reducing costs in its second-generation R1 vehicles and improved supplier relationships.
This messaging appears just months after Rivian consented to a $250 million settlement regarding a class action shareholder lawsuit tied to the sudden price increases for its R1 vehicles back in 2021.
It also echoes some of the controversies Tesla found itself in a few years ago. Elon Musk and his firm had spent a significant amount of time promising that the Model 3 would retail for $35,000. However, Tesla offered a $35,000 Model 3 for a brief period “off-menu,” and that initiative did not endure long. Many customers who attempted to purchase it were pressured into opting for higher-trim versions, while Musk publicly lamented the challenges in meeting his prior promise.
Another Tesla model was initially announced at an appealing price that never materialized: the Cybertruck. Tesla originally promoted the steel-bodied pickup in 2019 as starting at just $40,000. Ultimately, it launched at much steeper prices that, combined with its widely unappealing design, resulted in disappointingly low sales.
It seems improbable that the R2 will face as severe a fate as the Cybertruck did for Tesla. After all, it’s a significantly more accessible vehicle that is also starting at a much lower cost — all without the political ramifications of having Elon Musk as the CEO. However, only the coming years will reveal whether the R2’s entry model will follow a trajectory more akin to the $35,000 Model 3, the Cybertruck, or something entirely distinct.
The publishing service Substack continues to enhance its focus on video content with the introduction of the Substack Recording Studio, a built-in feature that allows creators to pre-record and publish video content.
Exclusively available on desktop, the studio facilitates individual videos as well as discussions with up to two guests. Creators have the option to add personalized watermarks and can share their screen with co-hosts. After recording, Substack automatically generates clips and thumbnails for users to share.
“Previously, producing video on Substack required going live or using multiple tools: a recording application, a platform for creating and sharing clips, and a tool for designing thumbnails,” the company mentioned in a blog entry. “Substack Studio consolidates all these functions into one hub.”
The entry further highlights that creators who have leveraged audio or video on Substack in the last 90 days have seen revenue growth 50% quicker than those who have not.
While Substack is primarily recognized as a newsletter service, the company has exhibited a strong interest in video in recent years, focusing on developments that position it more as a competitor to Patreon, motivating creators to delve into multimedia.
Since permitting creators to upload videos in 2022, Substack expanded capabilities to include livestreaming and monetization of videos last year and subsequently introduced a $20 million Creator Accelerator Fund to assist creators in moving from alternative platforms to Substack.
Similar to Instagram, Substack has also recently rolled out a TV application, now available on Apple TV and Google TV. This app allows audiences to view video posts and livestreams on television and features a TikTok-style “For You” section, offering additional recommendations.
Even with the rising trend of consuming short-form videos on smartphones, audiences appear to be opting for TV screens to view longer content. Netflix has been heavily investing in the integration of video podcasts into television. On YouTube, viewers engaged with over 700 million hours of podcasts monthly on living room devices (including TVs) in 2025, marking an increase from 400 million hours monthly in the previous year.
Facebook Marketplace is introducing new Meta AI functionalities, one of which automatically responds to messages from potential buyers, as announced by Facebook on Thursday. The platform is also leveraging AI to assist sellers in listing items more efficiently and summarizing profiles while providing sellers the choice to include shipping options on their listings.
According to the company, since sellers often receive numerous inquiries from buyers, it aims to simplify responding to initial messages with auto-replies powered by Meta AI. Now, when buyers ask about the availability of an item, sellers can utilize Meta AI to automatically draft responses using details from their listing, such as description, availability, pickup point, and price. Sellers can activate, view, and modify these auto-replies while creating the listing.
This new capability is intended to tackle a frequent challenge for sellers, who generally wish to avoid spending too much time handling initial or repetitive inquiries, like checking if an item is available when it is already indicated as such. One seller even created their own AI solution last year to manage these early inquiries from interested buyers.
Facebook Marketplace now also allows sellers to automate their listing process using Meta AI. After uploading an item image, Meta AI can generate a draft listing, complete with details, and suggest a pricing based on similar items available in the area.
Moreover, buyers will now see a glimpse of a seller’s Facebook profile at the top of their Marketplace page, including the duration of their Facebook membership and their total number of friends. This overview will also present a summary of their Marketplace activities, such as their listing history, the types of items they offer, and their seller ratings.
Sellers can now increase their visibility by providing shipping options for their listings, according to Facebook. They can generate prepaid shipping labels and conveniently track every order from an intuitive dashboard.
These new AI capabilities complement the existing Meta AI integrations within Facebook Marketplace, which include a tool that assists buyers in asking the right questions during a purchase, as well as AI-driven insights for vehicle listings.
On Thursday, Tinder conducted its first-ever product keynote, revealing a bold range of updates aimed at refreshing its offerings, enhancing safety, and utilizing AI. This announcement follows Match Group’s $50 million investment in product development made last August, as the parent company seeks to reconnect with its user base and attract younger Gen Z daters.
The updates include creative features for finding local events and meeting individuals face-to-face, along with a new virtual speed dating experience currently being trialed in Los Angeles. Furthermore, a variety of AI enhancements were revealed to optimize the matching algorithm and improve user safety.
A standout feature is the newly introduced Events tab, which will be in beta for users in Los Angeles starting late May or early June. This function enables users to find curated local events—such as speakeasies, bowling alleys, raves, and pottery workshops—where they can meet matches in person.
This development reflects the increasing desire among Gen Z for real-life interactions instead of endless swiping. Young individuals are moving away from traditional dating apps, looking for genuine offline experiences or unique ways to encounter potential partners. Other applications, such as Breeze, 222, Timeleft, and Thursday, have also embraced this in-real-life (IRL) movement.
“We’re really focusing on engaging younger users in places where they already spend time,” Hillary Paine, senior vice president of product at Tinder, stated to TechCrunch. “You can attend an event with a friend and have a fun experience, or you could meet someone new. Instead of forcing users to make a choice between their dating and social lives, we aim to combine these elements and foster a more community-oriented experience.”
Profiles of attendees will remain accessible on the app post-event for users to like and browse through, a concept reminiscent of “Missed Connections” ads, allowing those who may not have had the confidence to approach someone or simply missed their chance to reconnect.
Image Credits:Tinder
Speed dating is witnessing a revival as well. To capitalize on this trend, Tinder announced it is now testing a video speed dating format in LA, where users can participate in scheduled three-minute video discussions with potential matches. This acts as a “vibe check,” intended to facilitate ice-breaking and assess chemistry before committing to a face-to-face meeting.
The company indicated that users can opt to continue promising discussions beyond the initial three minutes. A verified profile photo is required to participate in this experience.
Many daters seem to have grown tired of video chats, making it interesting to see if this late-entry experiment will succeed. During the COVID-19 pandemic, Tinder introduced a Face-to-Face feature which was eventually discontinued, showcasing a reduced interest in video engagements.
AI was another major highlight at the keynote.
Tinder continues to invest in this technology, starting with its “Chemistry” feature, which employs AI to learn about users through questionnaires and, with their consent, their photo libraries. This feature curates daily matches to alleviate swipe fatigue and is currently launching in the U.S. and Canada after initial trials in Australia and New Zealand.
In the future, components of Chemistry will evolve from being merely one function into something that enhances the overall Tinder experience, making it more individualized, according to the company.
Image Credits:Tinder
Moreover, Tinder rolled out a fresh “Learning Mode” that offers more pertinent matches sooner. This system is crafted to swiftly understand what users are looking for in potential partners, modifying recommendations to align more closely with individual tastes. Previously, Tinder required multiple swiping sessions to collect sufficient signals for effective personalization.
With Learning Mode, Paine highlights, it can begin to comprehend a user from their very first session. She mentioned, “We aspire for this to be something that makes Tinder genuinely feel like it gets you from the moment you begin using it, or if you’re returning after a break, it feels as if it understands me, and I won’t have to invest much time re-explaining what I’m searching for.”
Tinder is also improving safety features such as “Does This Bother You?,” which now employs large language models to more accurately detect harmful messages and auto-blur inappropriate content, while “Are You Sure?” prompts are being refined to better identify potentially hazardous interactions.
Image Credits:Tinder
Visually, Tinder will feature a stylish redesign: full-width profile images, a gentle blur effect, and a Liquid Glass style for the Like and Nope bar. New features are also on the way: “Music Mode” will allow users to automatically add up to 20 Spotify songs to their profile, and “Astrology Mode” will enable users to input birth information to reveal their Sun, Moon, and Rising signs and check compatibility. This follows the recent introduction of Double Date Mode and College Mode.
Overall, this wave of announcements indicates a significant transformation in Tinder’s strategy. While Match reported favorable earnings in Q4 2025, with $878 million in revenue, the company has faced several quarters of falling paying subscribers. As a result, it is pressured to keep users and regain investor trust, even as its outlook remains cautious, recognizing evolving user preferences and increased competition.
It remains uncertain whether these modifications will sustain user interest in the app. Nevertheless, one fact is evident: Tinder is making a substantial commitment to the future of dating, moving away from exclusively relying on swiping and adjusting to meet the desires of its younger user base.
ASUS has unveiled three new 27-inch ROG Strix OLED gaming displays featuring refresh rates reaching 280Hz, with prices beginning at $599, making premium OLED gaming screens more accessible to mainstream consumers.
The article ASUS unveils three ROG Strix OLED displays starting at 240Hz and $599 first appeared on Digital Trends.
You hit “suggest,” save a few seconds, and carry on. It turns out that small shortcut could be altering your perspective one word at a time.
The article Love autocomplete in your texts? Research indicates it’s subtly transforming your thinking appeared first on Digital Trends.
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