Technologies
I Tried Perplexity’s Comet AI Web Browser and It Might Be the Future
When it works, Comet supercharges browsing online, literally doing the work for you.
It takes deep, below-the-navel brazen audacity to take on Google in online search. Just ask Microsoft, DuckDuckGo, Brave and the slew of other search engines that have tried to scrape away at Google’s near 90% global market share. It takes a kick in the head to think Google would sell Chrome, its wildly popular web browser.
It seems that AI search company Perplexity has a pair of grit and gall, along with a multitude of head fractures, as it not only aims to usurp Google in online search, it offered to buy Chrome outright for $34.5 billion, which is $14.5 billion more than Perplexity is valued at.
Apart from gaining access to billions of users overnight, Perplexity doesn’t really need Chrome. It already has its own AI-powered web browser, called Comet, and after using it for the past few weeks, I’m making it my default.
Comet is an AI-powered Chromium-based web browser that puts Perplexity’s answer engine at the core of the experience.
Chromium is an open-source web browser standard made by Google and allows anyone to build their own browser based on Chromium’s codebase. Browsers like Microsoft Edge and Opera are built on Chromium. Building a Chromium browser allows for a stable online experience with frequent security updates and interoperability with Chrome extensions.
So, Comet is essentially half Chrome minus the Google integrations.
Here’s what Comet can do that Chrome can’t: Questions typed into Comet’s address bar generate Perplexity AI summaries, with links to various sources. Highlighting text and right-clicking can bring up a Perplexity-powered search and summary. While watching a YouTube video, you can call on the Perplexity assistant to summarize it for you, and you can ask follow-up questions. That same summarization capability applies to articles as well. (Although as a journalist and someone who doesn’t suffer from TikTok brain, I just read articles through.) Comet also has agentic capabilities. For example, I can have Comet’s built-in AI assistant analyze a winning Grand Archive deck and it’ll automatically add those cards to my cart on TCGplayer, a separate marketplace for buying cards.
The AI power at the core of Comet changes how I use the internet in slight but meaningful ways. AI can expand upon an article on a political candidate, giving me the ability to ask about their policies and voting record. Or, when shopping for a mechanical keyboard, I can bring up the Perplexity assistant to ask about which switches on the market give the best «thock» with a «creamy» feel. (Perplexity strongly recommends the Gateron Oil King switches.)
Could I do the same just by opening a separate ChatGPT tab? Sure. But having it all built into the browser means I don’t need to spend time giving the AI chatbot necessary context. It can look at the screen I’m looking at and understand what I’m trying to expand upon.
Comet isn’t perfect, however. My biggest pain point is Perplexity itself. When I write, I often need to source other articles and pieces of information based on recency. Typing in «CNET Gemini» into the address bar, Perplexity gives me a summary of CNET’s coverage of Gemini and a few links, but not the kinds of links I’m looking for. I’m often looking for the most recent pieces CNET has published about Gemini. (The same applies when I search for «site:cnet.com gemini».) This applies beyond just CNET-related backlinking. When researching other topics, I’m often trying to land on the most up-to-date stories and Perplexity tends to bring up more explanatory pieces.
I often find myself jumping to Google search as Google tends to index links by recency.
Another pain point is the consistency of Perplexity’s agentic capabilities. Last month, ChatGPT launched ChatGPT Agent. This new mode in ChatGPT lets an AI do research and browsing for you. It takes time, however. For example, I asked ChatGPT Agent to look for hotel rooms near the San Diego Convention Center between specific dates and under a specific price. It took ChatGPT Agent 15 minutes of web browsing to give me a few options. With Comet, Perplexity tried doing this task in as little as 30 seconds. The problem was that the hotel recommendations didn’t match the location or price I was looking for. Sure, I could go back-and-forth with Perplexity to help sharpen its focus, but it’d be a time suck.
In another test, I tried recreating the Grand Archive deck that I had built the day before. I pulled up a list of a winning deck and asked Perplexity to figure out how much it’d cost to build the exact same deck and to add those cards to my cart on TCGplayer. This time, Perplexity got stuck. It kept on trying to put together an accurate list but couldn’t actually move on to the step of going to TCGplayer. It’d ask if I were ready to move forward, to which I’d respond with an emphatic confirmation. Each time it’d spend a bunch of time thinking only to go nowhere.
So, when Perplexity works, it’s awesome. But getting it to work can feel like a dice roll.
Still, it’s too early to give Comet a final score. The browser is still limited to Max users and probably has a lot more updates on the way. Even then, it’s a glimpse as to what AI-powered web browsing will look like, and I expect Google to scramble and put something together to defend its market share.
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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