The head of Google DeepMind believes its drug discovery spinout will halve the time taken to find new medicines, attracting the attention of the world's biggest pharmaceutical companies which are looking to artificial intelligence to revolutionise the lengthy process. From a report: Speaking to the Financial Times, Demis Hassabis, who co-founded Google's AI unit and also leads the drugs offshoot Isomorphic Labs, said the goal was to reduce the discovery stage -- when potential drugs are identified before clinical trials -- from the average of five years to two. "I think that would be success for us and be very meaningful," he said.

Hassabis stated the goal days after announcing Isomorphic Lab's first two pharmaceutical partnerships with Eli Lilly and Novartis, which came to a combined value of up to $3bn, in deals set to transform the finances of the unprofitable group. Isomorphic Labs uses an AI platform to predict biochemical structures, which aids the creation of new drugs by recommending which potential compounds will have the desired impact in the body. Including clinical trials, it often takes up to a decade to discover and develop a new drug, costing on average about $2.7bn, according to research by the Tufts Center for the Study of Drug Development.

Large drugmakers, under pressure to fill their pipelines with new potential medicines while existing ones face patent cliffs, when they will face far cheaper generic competition, are eager for new ways to shorten the process. As healthcare systems around the world put pressure on drug prices, pharma companies are also looking for ways to cut costs in research and development. Hassabis said that many drugmakers had also been eager to partner with Isomorphic but the company wanted to focus on collaborations that could improve its technology.

In the coming months, Walmart will be expanding its drone delivery program in Texas to reach an 1.8 million additional households in the Dallas-Fort Worth area. The expansion will be completed within the year. The Verge reports: The retailer says its drone deliveries now cover 75 percent of the population in the Dallas-Fort Worth metro area, all thanks to partnerships with drone startups Wing and Zipline. Walmart launched its drone delivery program with Zipline and DroneUp in Arkansas in 2021 before expanding it to more states in 2022. The newly expanded service in Texas allows customers living within 10 miles of a participating Walmart to get items delivered to their homes via drone.

Since there is a weight limit, customers can only have smaller products like cold medicine, birthday candles, and even a carton of eggs delivered. Walmart says deliveries arrive in 30 minutes or less, with some reaching customers' doorsteps in as fast as 10 minutes. In 2023, Walmart partnered with Wing, which is owned by Google's parent company Alphabet, to deliver to 60,000 more homes in the Dallas-Fort Worth area from two different stores. But this marks its biggest expansion yet, adding 30 more towns and municipalities within the Texas metroplex. The program also now uses drones from both Wing and Zipline to make deliveries in the area, both of which are approved by the Federal Aviation Administration to fly drones "without a dedicated observer being able to see the drone at all times." You can check to see if deliveries are available for your address on the Wing and Zipline websites.

The U.S. Federal Trade Commission has banned the data broker X-Mode Social from sharing or selling users' sensitive location data, the federal regulator said Tuesday. From a report: The first of its kind settlement prohibits X-Mode, now known as Outlogic, from sharing and selling users' sensitive information to others. The settlement will also require the data broker to delete or destroy all the location data it previously collected, along with any products produced from this data, unless the company obtains consumer consent or ensures the data has been de-identified. X-Mode buys and sells access to the location data collected from ordinary phone apps. While just one of many organizations in the multibillion-dollar data broker industry, X-Mode faced scrutiny for selling access to the commercial location data of Americans' past movements to the U.S. government and military contractors. Soon after, Apple and Google told developers to remove X-Mode from their apps or face a ban from the app stores.

Alphabet's Google is set to go before a federal jury in Boston on Tuesday in a trial over accusations that processors it uses to power AI technology in key products infringe a computer scientist's patents. From a report: Singular Computing, founded by Massachusetts-based computer scientist Joseph Bates, claims Google copied his technology and used it to support AI features in Google Search, Gmail, Google Translate and other Google services. A Google court filing said that Singular has requested up to $7 billion in monetary damages, which would be more than double the largest-ever patent infringement award in U.S. history.

Google spokesperson Jose Castaneda called Singular's patents "dubious" and said that Google developed its processors "independently over many years." "We look forward to setting the record straight in court," Castaneda said.

Amazon introduced a new feature that mimics Apple's AirPlay while working across different platforms, setting the stage for iPhone and Android users to wirelessly stream video to its TV hardware. From a report: The feature, called Matter Casting, is part of a push by Amazon to create interoperable services -- an alternative to the propriety technology developed by Apple and Google. It will make it easier for iOS and Android phones to send video to Amazon devices, such as its Fire TV boxes and sticks, as well as the Echo Show 15 smart display. [...] The feature will work with a range of other video services, including Plex, Pluto TV, Sling TV, Starz and ZDF, Amazon said.

necro81 writes: ULA's Vulcan rocket, many years in development, had a successful first launch this morning from Cape Canaveral. The expendable rocket, which uses two methane-fueled BE-4 engines from Blue Origin in its first stage, is the successor to the Delta and Atlas-V launch vehicles.

Years overdue, and with a packed manifest for future launches, Vulcan is critical to the ULA's continued existence. The payload on this first mission is called Peregrine -- a lunar lander from Astrobotic. Unfortunately, Peregrine has suffered an anomaly some hours into flight; it is unclear whether the mission can recover. UPDATE: According to Reuters, Peregrine's propulsion system experienced issues hours after separating from Vulcan, "preventing the spacecraft from angling itself toward the sun for power."

"While mission engineers regained control, the faulty propulsion system is losing valuable propellant, forcing Astrobotic to consider 'alternative mission profiles,' suggesting a moon landing is no longer achievable," reports Reuters.

In the most recent update (#5) on X, Astrobotic said in a statement: "We've received the first image from Peregrine in space! The camera utilized is mounted atop a payload deck and shows Multi-Layer Insulation (MLI) in the foreground. The disturbance of the MLI is the first visual clue that aligns with out telemetry data that points to a propulsion system anomaly. Nonetheless, the spacecraft's battery is now fully charged, and we are using Peregrine's existing power to perform as many payload and spacecraft operations as possible. At this time, the majority of our Peregrine mission team has been awake and working diligently for more than 24 hours. We ask for your patience as we reassess incoming data so we can provide ongoing updates later this evening."

"This December, I made a radical change," writes a New York Times tech reporter — ditching their $1,300 iPhone 15 for a $108 flip phone.

"It makes phone calls and texts and that was about it. It didn't even have Snake on it..." The decision to "upgrade" to the Journey was apparently so preposterous that my carrier wouldn't allow me to do it over the phone.... Texting anything longer than two sentences involved an excruciating amount of button pushing, so I started to call people instead. This was a problem because most people don't want their phone to function as a phone... [Most voicemails] were never acknowledged. It was nearly as reliable a method of communication as putting a message in a bottle and throwing it out to sea...

My black clamshell of a phone had the effect of a clerical collar, inducing people to confess their screen time sins to me. They hated that they looked at their phone so much around their children, that they watched TikTok at night instead of sleeping, that they looked at it while they were driving, that they started and ended their days with it. In a 2021 Pew Research survey, 31 percent of adults reported being "almost constantly online" — a feat possible only because of the existence of the smartphone.

This was the most striking aspect of switching to the flip. It meant the digital universe and its infinite pleasures, efficiencies and annoyances were confined to my computer. That was the source of people's skepticism: They thought I wouldn't be able to function without Uber, not to mention the world's knowledge, at my beck and call. (I grew up in the '90s. It wasn't that bad...

"Do you feel less well-informed?" one colleague asked. Not really. Information made its way to me, just slightly less instantly. My computer still offered news sites, newsletters and social media rubbernecking.
There were disadvantages — and not just living without Google Maps. ("I've got an electric vehicle, and upon pulling into a public charger, low on miles, realized that I could not log into the charger without a smartphone app... I received a robot vacuum for Christmas ... which could only be set up with an iPhone app.") Two-factor authentication was impossible.

But "Despite these challenges, I survived, even thrived during the month. It was a relief to unplug my brain from the internet on a regular basis and for hours at a time. I read four books... I felt that I had more time, and more control over what to do with it... my sleep improved dramatically."

"I do plan to return to my iPhone in 2024, but in grayscale and with more mindfulness about how I use it."

The University of Massachusetts Amherst has an announcement. A team of computer scientists "recently announced a new method for automatically generating whole proofs that can be used to prevent software bugs and verify that the underlying code is correct." It leverages the AI power of Large Language Models, and the new method, called Baldur, "yields unprecedented efficacy of nearly 66%."

The idea behind the machine-checking technique was "to generate a mathematical proof showing that the code does what it is expected to do," according to the announcement, "and then use a theorem prover to make sure that the proof is also correct. But manually writing these proofs is incredibly time-consuming and requires extensive expertise. "These proofs can be many times longer than the software code itself," says Emily First, the paper's lead author who completed this research as part of her doctoral dissertation at UMass Amherst... First, whose team performed its work at Google, used Minerva, an LLM trained on a large corpus of natural-language text, and then fine-tuned it on 118GB of mathematical scientific papers and webpages containing mathematical expressions. Next, she further fine-tuned the LLM on a language, called Isabelle/HOL, in which the mathematical proofs are written. Baldur then generated an entire proof and worked in tandem with the theorem prover to check its work. When the theorem prover caught an error, it fed the proof, as well as information about the error, back into the LLM, so that it can learn from its mistake and generate a new and hopefully error-free proof.

This process yields a remarkable increase in accuracy. The state-of-the-art tool for automatically generating proofs is called Thor, which can generate proofs 57% of the time. When Baldur (Thor's brother, according to Norse mythology) is paired with Thor, the two can generate proofs 65.7% of the time. Though there is still a large degree of error, Baldur is by far the most effective and efficient way yet devised to verify software correctness, and as the capabilities of AI are increasingly extended and refined, so should Baldur's effectiveness grow.

In addition to First and Brun, the team includes Markus Rabe, who was employed by Google at the time, and Talia Ringer, an assistant professor at the University of Illinois — Urbana Champaign. This work was performed at Google and supported by the Defense Advanced Research Projects Agency and the National Science Foundation.

"If you have been affected, you will will receive a notification when you open Chrome on either desktop or Android devices," reports Search Engine Land. But they add that "discussions among digital marketers on X indicate that advertisers are still not ready..."

An anonymous reader writes: Google started its campaign to phase out of third-party cookies as announced earlier. At the beginning cookies are turned off for 1% of users, and those lucky ones unlock a "tracking protection" in Chrome settings. In agreement with the UK Competitions and Markets Authority, third-party cookies will be completely removed at the end of this year, a move under tight anti-competition scrutiny also in Brussels. Meanwhile, a technology researcher released their privacy audit of Google's third-party cookie replacement, Privacy Sandbox's Protected Audience API, validating its standing against EU data protection, which may even close the ever-present cookie consent popups disliked universally in Europe.

Code within the latest version of the ChatGPT Android app suggests that you'll soon be able to set it as the default assistant app, replacing the Google Assistant. Android Authority's Mishaal Rahman reports: ChatGPT version 1.2023.352, released last month, added a new activity named com.openai.voice.assistant.AssistantActivity. The activity is disabled by default, but after manually enabling and launching it, an overlay appears on the screen with the same swirling animation as the one shown when using the in-app voice chat mode. This overlay appears over other apps and doesn't take up the entire screen like the in-app voice chat mode. So, presumably, you could talk to ChatGPT from any screen by invoking this assistant. However, in my testing, the animation never finished and the activity promptly closed itself before I could speak with the chatbot. This could either be because the feature isn't finished yet or is being controlled by some internal flag. [...]

However, the fact that the aforementioned XML file even exists hints that this is what OpenAI intends to do with the app. Making the ChatGPT app Android's default digital assistant app would enable users to launch it by long-pressing the home button (if using three-button navigation) or swiping up from a bottom corner (if using gesture navigation). Unfortunately, the ChatGPT app still wouldn't be able to create custom hotwords or respond to existing ones, since that functionality requires access to privileged APIs only available to trusted, preinstalled apps. Still, given that Google will launch Assistant with Bard any day now, it makes sense that OpenAI wants to make it easier for Android users to access ChatGPT so that users don't flock to Bard just because it's easier to use.

An anonymous reader quotes a report from the New York Times: The Justice Department is in the late stages of an investigation into Apple and could file a sweeping antitrust case taking aim at the company's strategies to protect the dominance of the iPhone as soon as the first half of this year, said three people with knowledge of the matter. The agency is focused on how Apple has used its control over its hardware and software to make it more difficult for consumers to ditch the company's devices, as well as for rivals to compete, said the people, who spoke anonymously because the investigation was active. Specifically, investigators have examined how the Apple Watch works better with the iPhone than with other brands, as well as how Apple locks competitors out of its iMessage service. They have also scrutinized Apple's payments system for the iPhone, which blocks other financial firms from offering similar services, these people said.

The Justice Department is closing in on what would be the most consequential federal antitrust lawsuit challenging Apple, which is the most valuable tech company in the world. If the lawsuit is filed, American regulators will have sued four of the biggest tech companies for monopolistic business practices in less than five years. The Justice Department is currently facing off against Google in two antitrust cases, focused on its search and ad tech businesses, while the Federal Trade Commission has sued Amazon and Meta for stifling competition. The Apple suit would likely be even more expansive than previous challenges to the company, attacking its powerful business model that draws together the iPhone with devices like the Apple Watch and services like Apple Pay to attract and keep consumers loyal to its products. Rivals have said that they have been denied access to key Apple features, like the Siri virtual assistant, prompting them to argue the practices are anticompetitive.

An anonymous reader shares a report: The DeepMind robotics team has revealed three new advances that it says will help robots make faster, better, and safer decisions in the wild. One includes a system for gathering training data with a "Robot Constitution" to make sure your robot office assistant can fetch you more printer paper -- but without mowing down a human co-worker who happens to be in the way.

Google's data gathering system, AutoRT, can use a visual language model (VLM) and large language model (LLM) working hand in hand to understand its environment, adapt to unfamiliar settings, and decide on appropriate tasks. The Robot Constitution, which is inspired by Isaac Asimov's "Three Laws of Robotics," is described as a set of "safety-focused prompts" instructing the LLM to avoid choosing tasks that involve humans, animals, sharp objects, and even electrical appliances.

For additional safety, DeepMind programmed the robots to stop automatically if the force on its joints goes past a certain threshold and included a physical kill switch human operators can use to deactivate them. Over a period of seven months, Google deployed a fleet of 53 AutoRT robots into four different office buildings and conducted over 77,000 trials. Some robots were controlled remotely by human operators, while others operated either based on a script or completely autonomously using Google's Robotic Transformer (RT-2) AI learning model.

Google is collecting the eyelid shape and skin tone of children via parent submitted videos, according to a project description online reviewed by 404 Media. From the report: Canadian tech conglomerate TELUS, which says it is working on Google's behalf, is offering parents $50 to film their children wearing various props such as hats or sunglasses as part of the project, the description adds. The project shows the methods some companies are using to build machine learning, artificial intelligence, or facial recognition datasets and products. Rather than scraping already existing images or analyzing previously collected material, TELUS, and by extension Google, is asking the public to contribute directly and get paid in return. Google told 404 Media the collection was part of the company's efforts to verify users' age.

An anonymous reader quotes a report from The Verge: Using satellite imagery and AI, researchers have mapped human activity at sea with more precision than ever before. The effort exposed a huge amount of industrial activity that previously flew under the radar, from suspicious fishing operations to an explosion of offshore energy development. The maps were published today in the journal Nature. The research led by Google-backed nonprofit Global Fishing Watch revealed that a whopping three-quarters of the world's industrial fishing vessels are not publicly tracked. Up to 30 percent of transport and energy vessels also escape public tracking. Those blind spots could hamper global conservation efforts, the researchers say. To better protect the world's oceans and fisheries, policymakers need a more accurate picture of where people are exploiting resources at sea.

Until now, Global Fishing Watch and other organizations relied primarily on the maritime Automatic Identification System (AIS) to see what was happening at sea. The system tracks vessels that carry a box that sends out radio signals, and the data has been used in the past to document overfishing and forced labor on vessels. Even so, there are major limitations with the system. Requirements to carry AIS vary by country and vessel type. And it's pretty easy for someone to turn the box off when they want to avoid detection, or cruise through locations where signal strength is spotty. To fill in the blanks, Kroodsma and his colleagues analyzed 2,000 terabytes of imagery from the European Space Agency's Sentinel-1 satellite constellation. Instead of taking traditional optical imagery, which is like snapping photos with a camera, Sentinel-1 uses advanced radar instruments to observe the surface of the Earth. Radar can penetrate clouds and "see" in the dark -- and it was able to spot offshore activity that AIS missed.

Since 2,000 terabytes is an enormous amount of data to crunch, the researchers developed three deep-learning models to classify each detected vessel, estimate their size, and sort out different kinds of offshore infrastructure. They monitored some 15 percent of the world's oceans where 75 percent of industrial activity takes place, paying attention to both vessel movements and the development of stationary offshore structures like oil rigs and wind turbines between 2017 and 2021. While fishing activity dipped at the onset of the covid-19 pandemic in 2020, they found dense vessel traffic in areas that "previously showed little to no vessel activity" in public tracking systems -- particularly around South and Southeast Asia, and the northern and western coasts of Africa.

A boom in offshore energy development was also visible in the data. Wind turbines outnumbered oil structures by the end of 2020. Turbines made up 48 percent of all ocean infrastructure by the following year, while oil structures accounted for 38 percent. Nearly all of the offshore wind development took place off the coasts of northern Europe and China. In the Northeast US, clean energy opponents have tried to falsely link whale deaths to upcoming offshore wind development even though evidence points to vessel strikes being the problem. Oil structures have a lot more vessels swarming around them than wind turbines. Tank vessels are used at times to transport oil to shore as an alternative to pipelines. The number of oil structures grew 16 percent over the five years studied. And offshore oil development was linked to five times as much vessel traffic globally as wind turbines in 2021. "The actual amount of vessel traffic globally from wind turbines is tiny, compared to the rest of traffic," Kroodsma says.

Generative AI models like Google Bard and GitHub Copilot are increasingly being used in various industries, but users often overlook their limitations, leading to serious errors and inefficiencies. Daniel Stenberg of curl and libcurl highlights a specific problem of AI-generated security reports: when reports are made to look better and to appear to have a point, it takes a longer time to research and eventually discard it. "Every security report has to have a human spend time to look at it and assess what it means," adds Stenberg. "The better the crap, the longer time and the more energy we have to spend on the report until we close it." The Register reports: The curl project offers a bug bounty to security researchers who find and report legitimate vulnerabilities. According to Stenberg, the program has paid out over $70,000 in rewards to date. Of 415 vulnerability reports received, 64 have been confirmed as security flaws and 77 have been deemed informative -- bugs without obvious security implications. So about 66 percent of the reports have been invalid. The issue for Stenberg is that these reports still need to be investigated and that takes developer time. And while those submitting bug reports have begun using AI tools to accelerate the process of finding supposed bugs and writing up reports, those reviewing bug reports still rely on human review. The result of this asymmetry is more plausible-sounding reports, because chatbot models can produce detailed, readable text without regard to accuracy.

As Stenberg puts it, AI produces better crap. "A crap report does not help the project at all. It instead takes away developer time and energy from something productive. Partly because security work is considered one of the most important areas so it tends to trump almost everything else." As examples, he cites two reports submitted to HackerOne, a vulnerability reporting community. One claimed to describe Curl CVE-2023-38545 prior to actual disclosure. But Stenberg had to post to the forum to make clear that the bug report was bogus. He said that the report, produced with the help of Google Bard, "reeks of typical AI style hallucinations: it mixes and matches facts and details from old security issues, creating and making up something new that has no connection with reality." [...]

Stenberg readily acknowledges that AI assistance can be genuinely helpful. But he argues that having a human in the loop makes the use and outcome of AI tools much better. Even so, he expects the ease and utility of these tools, coupled with the financial incentive of bug bounties, will lead to more shoddy LLM-generated security reports, to the detriment of those on the receiving end.

Qualcomm today unveiled a new Snapdragon XR2+ Gen 2 chipset, a single-chip architecture that will likely power Apple Vision Pro competitors from Meta, Samsung, Google and HTC, among others. ZDNet reports: Succeeding last year's XR2 Gen 2, the plus variant brings improved GPU and CPU frequency -- up 15% and 20% respectively, support for 4.3K per eye resolution at 90fps, and the ability for headsets to field 12 or more cameras with on-device AI capabilities. The latter allows equipped models to better track user movements and surrounding objects for more immersive (and harmonious) VR and MR experiences. As for efficiency gains, you'll still be getting the 50% improvement as the previous XR2 Gen 2 when stacked against the XR2 Gen 1 platform. Basically, there's no change on that front.

"(Snapdragon XR2+ Gen 2) will take XR productivity and entertainment to the next level by bringing spectacularly clear visuals to use cases such as room-scale screens, life-size overlays and virtual desktops," said Hugo Swart, vice president and general manager of XR, Qualcomm Technologies, Inc, in a Thursday press release. Clearly, the new silicon is aimed at headsets that can do it all -- with feature parity to the $3,500 gorilla in the room, Apple's upcoming Vision Pro headset -- though Qualcomm says it'll be priced accessibly for manufacturers to build hardware around.

How affordable will these competing wearables be? Your guess is as good as mine. But considering we've already gotten products like the $500 Meta Quest 3 fielding the slightly less capable XR2 Gen 2 chip, the future of XR may not be as expensive as it seems. The new Snapdragon XR2+ Gen 2 chipset is made in collaboration with Google and Samsung, both of which bring expertise in the Android ecosystem and developing mobile VR devices. The trio had announced plans to develop an XR platform back in February of 2023, likely in reaction to the then-rumored headset by Apple.

As spotted by X user bedros_p, Google appears to be preparing to introduce a paid upgrade for Bard Advanced, a "new, cutting-edge AI experience" announced in December that gives users access to Google's best models and capabilities. Android Police reports: According to the strings, you will be able to "Try Bard Advanced for 3 months, on us." After that test period, you will likely have to pay up for the service. A defunct link within the code suggests that it may be part of Google One, but it's not clear if Bard Advanced will be added to all tiers or only more expensive ones with more Google Drive storage. It's also possible that it will be an extra new tier in Google One.

As a refresher, Google launched its most capable AI model yet in December 2023, called Gemini. The LLM is available in three tiers, including a Nano version capable of running on devices like phones and a Pro version currently powering Bard in the US. There is also a Gemini Ultra which isn't public just yet, but supposedly outperforms other LLMs in almost all metrics. Google says that this is the one that will power Bard Advanced.

An anonymous reader quotes a report from the Los Angeles Times: The former Westside Pavilion, a long shuttered indoor mall, will be transformed into a UCLA biomedical research center aimed at tackling such towering challenges as curing cancer and preventing global pandemics, officials announced Wednesday. The sprawling three-story structure will be known as the UCLA Research Park and will house two multidisciplinary centers focusing on immunology and immunotherapy as well as quantum science and engineering. Establishment of the public-private research center is a coup for Southern California that "will cement California's global, economic, scientific and technical dominance into the 22nd century and beyond," said Gov. Gavin Newsom.

The former owners of the mall, Hudson Pacific Properties Inc. and Macerich, said Wednesday that they sold the property to the Regents of the University of California for $700 million. By purchasing the former shopping center, UCLA saved several years of potential toil to build such a facility on campus. UCLA is the most-applied-to university in the nation, but its Westwood home is among the smallest of the nine UC undergraduate campuses, leaving it limited room for growth. The former mall sits on prime real estate in the heart of the Westside at Pico Boulevard and Overland Avenue, about two miles from the UCLA campus. The mall was owned by commercial developers who spent hundreds of millions of dollars to dramatically remake the old shopping center into an office complex intended to appeal to technology firms, which signed some of the biggest office leases in L.A.'s Silicon Beach before the pandemic.

Google agreed to become the sole tenant and began paying rent last year yet never moved in. The interior is mostly unfinished, but is ready for UCLA to build out to its specifications in a process Newsom said would take about 40 months. The UCLA Research Park "will serve as a state of the art hub of research and innovation that will bring together academics, corporate partners, government agencies and startups to explore new areas of inquiry and achieve breakthroughs that serve the common good," UCLA Chancellor Gene Block said. In addition to flexible work areas, the former mall's 12-screen multiplex movie theater may be converted into lecture halls or performance spaces offering programming across the arts, humanities, sciences and social sciences, the chancellor's office said. One tenant of the research park will be the new California Institute for Immunology and Immunotherapy.

Perplexity, a startup going after Google's dominant position in web search, has won backing from Jeff Bezos and venture capitalists betting that artificial intelligence will upend the way people find information online. From a report: Started less than two years ago, Perplexity has fewer than 40 employees and is based out of a San Francisco co-working space. The company's product, which it calls an answer engine, is used by about 10 million people monthly. Those ingredients were enough to persuade Institutional Venture Partners, Bezos and other tech executives to invest $74 million in the company, the largest sum raised by an internet search startup in recent years. The investment valued Perplexity at $520 million, including the new money, said Chief Executive Officer Aravind Srinivas.

Amazon.com, the e-commerce company chaired by Bezos, has committed to investing billions in Anthropic, the AI startup behind the chatbot Claude. The path to competing with Google is littered with carcasses, and Microsoft itself has struggled for years to dislodge the company's roughly 90% market share in online search. Others, including tech giants, are incorporating AI into their search engines. Perplexity's founders said their advantage is using advances in AI to provide direct answers, instead of website links, in response to search queries, without some of the limitations felt by larger companies.

Amazon-owned Wickr is dead, more than a year after reports showed it had become the app of choice for drug traffickers. 404 Media: If you open the encrypted messaging app Wickr Me today, you'll be greeted with a line of red text: "Reconnecting..." Below that, in white text over a black background, the app says "We're having issues connecting to the Wickr Me network. If the problem persists, try restarting your app or contacting support." Closing and reopening the app will not work. There is no point in contacting support either. That's because on December 31, 2023, Wickr Me, the free version of Wickr, was shut down entirely.

Wickr Me is no longer available to download on the Apple App Store or the Google Play Store. The app stopped accepting new users more than a year ago. And now, even current users cannot speak to one another. So ends the story of an app that while never reaching the popularity of other encrypted messaging apps like Signal, nor those that later turned on end-to-end encryption for the masses like WhatsApp, nonetheless played an important role in the adoption of and debate around secure communications.