🚀 Zaprep: Your Socials on Steroids. 免费开始 — 每月自动发送 1,000 条私信，将互动转化为潜在客户。 ，每月 1,000 条自动私信。
最新 AI 资讯
TechCrunch Mobility: The AI skills arms race is coming for automotive
Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation. To get this in your inbox, sign up here for free — just clickTechCrunch Mobility! There is a bit of a theme emerging in transportation — and really every industry: AI is creating jobs for some at the loss of others. General Motors, for instance,laid off more than 10% of its IT department, or about 600 salaried employees — in a deliberate skills swap. This won’t translate into a one-to-one exchange, which means there will likely be a net-negative job loss. But GM insists it is hiring and those layoffs have made room for it to recruit IT people with AI-focused backgrounds. The most sought-after capabilities are AI-native development, data engineering and analytics, cloud-based engineering, agent and model development, prompt engineering, and new AI workflows. In practical terms, GM is looking for people who know how to build with AI from the ground up — designing the systems, training the models, and engineering the pipelines — not just use AI as a productivity tool. Those AI job losses are mounting in the automotive sector. CNBCcalculatedthat Ford, GM, and Stellantis have cut a combined total of more than 20,000 U.S. salaried jobs, or 19% of their combined workforces, from recent employment peaks this decade. While there are a variety of reasons for these cuts, they are generally connected to technological changes, including AI. Companies are leaning heavily into AI, although anecdotes from some engineers and founders suggests not all of these businesses know quite what they’re doing with it yet. Samsarais one company that seems to have figured out a revenue-generating use case. The company has spent the last decade giving its customers cameras to mount inside millions of trucks for driver monitoring, theft prevention, and helping with liability claims. The company took that mountain of data and trained its own model that candetect potholesand determine how quickly they are deteriorating. The company is pitching this product to cities and announced it has several under contract, including Chicago. Nothing this week, although I am working on a fun one! Reach out anytime with insights, tips, or just because. You can reach us via email or Signal. Email Kirsten Korosec atkirsten.korosec@techcrunch.comor my Signal at kkorosec.07, or email Sean O'Kane atsean.okane@techcrunch.com. You might have noticed that Rivian’s spinoff companyMind Roboticsraised another $400 million, just two months afterraising $500 million. And that pace got me thinking about its founder RJ Scaringe and his innate ability to get VC and institutional backers to invest in his ideas and projects. I calculated that investors have poured $12.3 billion into Scaringe’s three startups — Also, Mind Robotics, and Rivian. That figure doesn’t include the close to $12 billion in gross proceeds raised in Rivian’s IPO, nor did I count the more recent strategic deals with Volkswagen Group and Uber — which together could add nearly $7 billion to Rivian’s coffers. You can read my whole riff on the topic here. But if you don’t feel like clicking, here is one item that stood out. I spoke to a number of insiders and investors and they all mentioned Scaringe’s ability to give undivided attention to whoever he’s talking to — whether it's an investor, supplier, or exec — and make them feel like the most important person in the room. It’s yet another piece of evidence in my long-standing case against multitasking. Debate me! Other deals that got my attention … Arkeus, an Australian startup that developed perception software for autonomous drones and aircraft,raised $18 millionin a Series A round led by QIC Ventures. Other investors include R+VC, Folklore Ventures, DYNE Ventures, Main Sequence Ventures, Salus Ventures, and Beaten Zone. Aseon Labs, a Redwood City, California, startup that has developed a depot in a box for charging, cleaning, and inspecting autonomous fleets,came out of stealthwith undisclosed backing by Y Combinator. Rapidoraised $240 millionin a round led by Prosus, and that values the Indian ride-hailing company at $3 billion. Existing investors, including WestBridge Capital and Accel, participated. The round was part of a larger $730 million primary and secondary financing. Quantum Systems, a Germany-based drone startup backed by Peter Thiel, is in talks to raise around €600 million ($703 million) with companies like Airbus and Blackstone as investors,Bloomberg reported. Is Redwood Materials ready for an IPO?Senior reporter Sean O’Kane interviewed the company’s new CFO,Deepak Ahuja, whose name will be familiar to anyone who follows Tesla. Ahuja was Tesla’s former finance chief and most recently held a similar position at drone company Zipline. TeslaRobotaxis have crashed at least twice since July 2025 while ateleoperator was remotely drivingthe vehicles, according to newly unredacted information submitted to the National Highway Traffic Safety Administration. Uberisexpanding in Indiawith two new engineering campuses that can fit about 9,600 people and a data center partnership aimed at supporting its overall product development and infrastructure operations. Waymoissued a software update to its fleet of nearly 4,000 vehicles to help themavoid flooded roadsas part of a recall announced by the NHTSA. Important note: The company hasn’t fully solved the problem of how its vehicles behave in these conditions. Disrupt, our flagship annual tech conference in San Francisco, will be held in October. And while that is a ways off, I wanted to share one bit of news. We will have six stages this year, which you can read about inmore detail here. One worth noting for this crowd is ourAI in the Real World Stage.It will be here that we’ll dig into robotics, autonomous systems, manufacturing, defense, and industrial operations.
View
If you’re giving a commencement speech in 2026, maybe don’t mention AI
Commencement season has come around again — and this year, at least a couple speakers have discovered that it’s tough to get graduating students excited about a future shaped by artificial intelligence. Last week, Gloria Caulfield, an executive at real estate firm Tavistock Development Company,gave a speech at the University of Central Floridaacknowledging that we’re living in a time of “profound change,” which can be both “exciting” and “daunting.” “The rise of artificial intelligence is the next industrial revolution,” Caulfield declared — prompting the students in the audience to begin booing, getting louder and louder until Caulfield chuckled, turned to the other speakers, and asked, “What happened?” “Okay, I struck a chord,” she said. Caulfield then tried to resume her speech, saying, “Only a few years ago, AI was not a factor in our lives” — only to be interrupted again by the audience, this time by their loud cheers and applause. Former Google CEO Eric Schmidt faced a similar response when he brought up AI at a University of Arizona speech on Friday. In Schmidt’s case, the pushback actually began before the speech itself, with some student groupscalling for him to be removed as commencement speakerdue toa lawsuit in which a former girlfriend and business partner accused Schmidt of sexual assault. (He has denied the allegations.) According toa local news report,the booing began even before Schmidt took the stage. But Schmidt alsogot loud booswhen he told students, “You will help shape artificial intelligence.” The booing was persistent enough that Schmidt tried to speak over it, insisting, “You can now assemble a team of AI agents to help you with the parts that you could never accomplish on your own. When someone offers you a seat on the rocket ship, you do not ask which seat, you just get on.” To be clear, AI isn't becoming the third rail ateverygraduation ceremony. Nvidia CEO Jensen Huang recentlyspoke at Carnegie Mellon’s commencement, and he didn’t seem to get any audible pushback when he said that AI has “reinvented computing.” Still, it's not exactly surprising to find some students in a booing mood. Ina recent Gallup poll, only 43% of Americans aged 15 to 34 said it’s a good time to find a job locally, a steep drop from 75% in 2022. That pessimism isn’t just a response to the rise of AI (a shift thateven tech industry workers are worried about), but journalist and tech industry criticBrian Merchant suggestedthat for many students, AI has become “the cruel new face of hyper-scaling capitalism.” “I too would loudly boo at the prospect of this next industrial revolution if I was in my early twenties, unemployed, and had aspirations for my future greater than entering prompts into an LLM,” Merchant wrote. Even when the speeches didn’t mention AI explicitly, “resilience”was a recurring theme this year. Schmidt himselfacknowledgedthat there is “a fear in your generation that the future has already been written, that the machines are coming, that the jobs are evaporating, that the climate is breaking, that politics are fractured, and that you are inheriting a mess that you did not create." Caulfield, meanwhile, might also have misread her audience of arts and humanities graduates. One student said that before mentioning AI, Caulfield already started to lose them with her “generic” praise of corporate executives like Jeff Bezos. Another graduate, Alexander Rose Tyson,told The New York Times, “It wasn’t one person that really started the booing. It was just sort of like a collective, ‘This sucks.’”
View
Research repository ArXiv will ban authors for a year if they let AI do all the work
ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers. Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has becomea source of data on trends in scientific research. ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters toget an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it toraise more money to address issues like AI slop. In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section —postedThursdaythat “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.” Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. Dietterichtold 404 Mediathat this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision. Recent peer-reviewed research has found thatfabricated citations are on the risein biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caughtusing citations that were made up by AI.
View
The haves and have nots of the AI gold rush
The vibes around the current AI boom aren’t great, even in the tech industry, according toa lengthy social media postfrom Menlo Ventures partner Deedy Das. Das described San Francisco as “pretty frenetic right now,” as “the divide in outcomes is the worst I’ve ever seen.” Using a “back of the envelope AI calculation,” he projected that there are around 10,000 people — founders and employees at companies like OpenAI, Anthropic, and Nvidia — that have “hit retirement wealth of well above $20M,” while everyone else worries “they can work their well-paying (but <$500k) job for their whole life and never get there.” Plus, “layoffs are in full swing,” and “many software engineers feel that their life’s skill is no longer useful,” leading to confusion about the best career paths and “a deep malaise about work (and its future),” Das said. This prompted some eye-rolling on X, with entrepreneur Deva Hazarikaarguingthat “most of the people in this post” are “incredibly fortunate and can simply make a choice to be happy.” Another usersuggestedit’s “pretty damn novel & also kinda nasty” that in the current cycle, “the same technology is both the lottery ticket & the thing eating your fallback.” The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen.Over the last 5yrs, a group of ~10k people – employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders – have hit retirement wealth of well above $20M (back of the envelope…
View
OpenAI co-founder Greg Brockman reportedly takes charge of product strategy
OpenAI co-founder and president Greg Brockman is officially taking the reins of the company’s product strategy,according to Wired. This seems to solidify an already-existing change, with Brockman overseeing OpenAI’s products on an interim basis while the company’s CEO of AGI deployment Fidji Simo is out on medical leave. Wired also reports that in a staff memo, Brockman described plans to combine ChatGPT and its programming product Codex into a single unified experience. “We’re consolidating our product efforts to execute with maximum focus toward the agentic future, to win across both consumer and enterprise,” Brockman reportedly said. This is just the latest OpenAI shakeup since CEO Sam Altmandeclared a “code red”at the end of last year and said the company needs to refocus on the core ChatGPT experience. Since then, OpenAI hashalted “side quests”including video generator Sora and OpenAI for Science, and it’s beenhighlighting its ambitions to build an AI “super app.” TechCrunch has reached out to OpenAI for comment. The company told Wired that Simo, who remains on medical leave, worked with Brockman on these changes.
View
From Panchatantra to Prompts: How AI Platforms are Saving Indian Bedtime Stories
Personalised narration, familiar characters, and educational themes are turning bedtime stories into an interactive experience powered by artificial intelligence.
View
Silicon Valley’s vacationland needs a new energy provider just as AI is driving prices up
It’s no secret that AI data centers have been straining the grid. But Silicon Valley has been relatively insulated from it all, thanks to high land and power prices that have pushed hyperscaler projects elsewhere. The tech elite might soon get a taste of the power crunch, though. The Bay Area’s vacationland, Lake Tahoe, has less than a year to find a new energy supplier. By May 2027, Liberty Utilities’ agreement with NV Energy will come to an end. NV Energy’s power will be redirected elsewhere in Nevada, where data centers have been booming. Both Liberty Utilities and NV Energy have said the wind-down has been long planned, and NV Energy said data centers aren’t to blame. But it’s hard to see how they don’t play a role. NV Energy alone has requests for more than 22 gigawatts of load, which as aBloomberg reportpoints out, is more than 40x what Lake Tahoe uses at its peak. If data centers weren’t in play, it’s easy to see a world in which Liberty Utilities and NV Energy renew their contract. But with data center customers willing to pay whatever it takes to get electricity, it was inevitable that traditional customers in Lake Tahoe would be left out in the cold. The timing couldn’t be worse. Energy markets are harsh environments these days, squeezed by surging demand and tightened supplies made worse by the Trump administration’s decision to attack Iran. Lake Tahoe’s circumstances are compounded by the fact that its power lines share more connections with Nevada’s grid than California’s. That means the community must find another power provider from within NV Energy’s territory or elsewhere in the West. Given that NV Energy has already prioritized data centers over the mountain town, it’s likely that Lake Tahoe residents — and second-home owners — will have to find another regional power producer. That won’t be easy, either. One state over, in Utah, a county commissionrecently approveda 40,000-acre data center development that could consume up to 9 gigawatts of electricity when completed. Today, the entire state of Utah usesabout 4 gigawatts. Demand at that scale is almost certain to drive prices up throughout the region. The confluence of those factors means that Lake Tahoe will likely pay more for electricity next year than it does today. Locals will get hit the hardest, but people who own second homes in the area, many of whom are from Silicon Valley, might feel the pinch, too. The injustice of the AI energy crunch is that the people who suffer the most have had very little say in the technology or its rollout. Lake Tahoe’s power predicament shows that’s starting to change, though probably not enough to make a difference.
View
The OpenAI trial wraps up, and the Musk founder machine keeps spinning
The Musk v. Altman trial came to a close this week, and the final arguments kept circling back to one question:can we trust the people in charge of AI?All of this is playing out as SpaceX charges toward what could be one of the largest IPOs in American history, witha whole generationof foundersalready spinning out of the Musk empire. On this episode of TechCrunch’sEquitypodcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane break down the trial’s closing stretch and what the growing Elon Musk founder ecosystem looks like on the ground, and the other deals that caught our eye this week. Listen to the full episode to hear about: Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
View
Runway started by helping filmmakers — now it wants to beat Google at AI
AI video-generation startupRunwaydoesn’t have the typical Silicon Valley pedigree. No Stanford founders, no ex-Google founders, no nine-figure seed round that bought them time to ignore revenue. Its three founders — two from Chile, one from Greece — met at NYU’s Tisch School of the Arts and built the company in New York. Runway also could be, depending on who you ask, one of the most consequential AI companies today. Not because of what it has built, but because of what it is trying to build next. For the past several years, the AI industry has largely operated on the premise that intelligence lives in language. Large language models like OpenAI’s ChatGPT and Anthropic’s Claude reflect that bet. Runway, alongside other competitors, is making a different one. Its founders believe the next form of AI intelligence won’t be built from text, but from video and world models that learn how the world works, not just how humans describe it. That distinction sounds academic. Its implications are not. Runway co-founder and co-CEO Anastasis Germanidis said training models directly on observational data from the world is the next frontier of AI. The companies that get there first, he argues, won’t be the ones that perfected language. “We’re basically bound by our own understanding of reality,” Germanidis told TechCrunch from Runway’s homey sunlight-filled headquarters near Union Square. “Language models are trained on the entire internet, on message boards and social media, on textbooks — distilling the existing human knowledge,” Germanidis continued. “But to get beyond that, we need to leverage less biased data.” Founded in 2018, Runway built its reputation onvideo-generation models— including its latest Gen-4.5 — and AI tools that let people turn text prompts into editable, cinematic content. Today, Runway’s technology powers production workflows for filmmakers and ad agencies, and the company has signed deals with major media players likeLionsgateand AMC Networks. Its tools have even been used in films such as “Everything Everywhere All At Once.” Runway is now valued at$5.3 billionand, according to one of its founders,added $40 million in annual recurring revenuein the second quarter of 2026. If Runway’s bet that video generation is the path to world models pays off, the result will be felt from Hollywood to drug discovery. If it doesn’t, Runway risks being outpaced by competitors with far deeper pockets — Google chief among them. Within the last six months, the startup has put its plan into action and expanded beyond video generation, launching itsfirst world model in December, with plans to launch another this year. (World models are AI systems that simulate environments well enough to predict how they’ll behave.) Runway isn’t alone in its pursuit of turning physics-aware video models to world models, with near-term use cases in interactive entertainment, gaming, and robotics training. StartupsLumaandWorld Labsare on asimilar trajectory, and Google has pointed itsGenie world modelin the same direction. Everyone is after some version of the same thing: AI that solves humanity’s hardest problems. That’s far from Runway’s original product, but it’s the result of both emergent capabilities in the technology and founders who were predisposed to follow where it led. For his part, Germanidis sees world models as scientific infrastructure. The more sensory data and observations you train a single model on, the closer you get to a working digital twin of the universe — one you can run experiments on faster than any lab could. Much of the scientific process is just waiting on results, he points out. If you could compress that waiting, you could compress progress itself. “If we can build a better scientist than human scientists, we can accelerate progress in how we understand the universe and how we solve problems,” Germanidis said. Germanidis fell in love with programming as an 11-year-old in Athens and came to the U.S. at 18 to study neuroscience and film. He turned back to computer science, working at several Silicon Valley tech firms before deciding he’d had enough of the culture.Co-CEO Cristóbal Valenzuela, born and raised in Santiago, studied economics as an undergraduate before working in film and then software. Another Santiago native, Chief Innovation Officer Alejandro Matamala-Ortiz studied advertising and ran a design firm. The three met in 2016 while attending NYU’s ITP (Interactive Communications Program), a graduate program that Valenzuela described as an “art school for engineers.” The co-founders had all aspired to befilmmakersat certain points in their lives, according to Matamala-Ortiz. So Runway started with a simple mission: Can we use AI to makeeveryone a filmmaker? After releasing their first video generation model in February 2023 — which isstaggeringly unimpressivecompared to what Runway is putting out today — that mission evolved into: Could we make everyone agreatfilmmaker, according to Matamala-Ortiz. It required growing the team to what it is today. The company has 155 workers spread across offices in New York, London, San Francisco, Seattle, Tel Aviv, and most recently, Tokyo. "But throughout this process, we learned that these models can understand how the world works, and if you scale them, they can be useful for many other different things,” he added. Things like robotics, drug discovery, and climate modeling — the kinds of problems that have stumped researchers for decades. Last year,Runway launched a robotics unitwhich Germanidis says has already resulted in real-world testing and deployments. Germanidis,like others,sees the field heading towardtraining a single model on many different modalities— text, video, voice, and other sensors — and thinks the compounding effect is the point. His own moonshot goal for Runway’s technology, given enough time and resources, is biological world models and anti-aging research. Whether Runway can carry its video dominance into world models is far from settled, and the competition isn’t waiting around. Runway was among the first to AI video generation, but world models are a different race with deep-pocketed and well-respected competitors. Google, formerMeta chief scientist Yann LeCun, AI’s ‘godmother’Fei-Fei Li, and a growing field of startups are all chasing the same goal. Kian Katanforoosh, CEO of AI skills benchmarking companyWorkeraand a lecturer at Stanford, pointed out that no one has yet proven the jump between video intelligence and generalized reasoning via world models, but that doesn’t mean it’s impossible. He said that if Runway wants to turn its world model bet into reality, it will need to continue gathering resources — compute chief among them. Runway has deals withCoreWeaveandNvidia, but wouldn’t confirm whether it has dedicated cluster access — the kind of guaranteed, large-scale compute that training frontier models requires. “How are you going to build a foundational model without a cluster?” Katanforoosh asked. “I don’t think anybody can do that.” Runway has raised $860 million to date, including a$315 million roundin February from strategic partners like AMD Ventures and Nvidia. That’s roughly in line with its most immediate competitors, Luma AI and World Labs, which have raised $900 million and $1.29 billion, respectively, according to PitchBook. But Runway is also going up against incumbents like OpenAI, which has raised around $175 billionper CEO Sam Altman, and tech behemoth Google, whose parent company Alphabet is worth $4.86 trillion.Google is Runway’s biggest threat.The company’s Veo model competes directly with Runway’s video generation business, while its Genie world model targets the same longer-term territory Runway is racing towards. Katanforoosh nodded at OpenAI, whichshuttered its video platform Sorain March after burning roughly$1 million per dayin compute costs with barely $2.1 million in revenue according to some estimates. His point: resources alone don’t guarantee survival. Theydon’t guarantee itfor Runway either. Katanforoosh isn’t writing Runway off. He pointed to AI audio startupElevenLabs, which hasoutperformedOpenAI and Google on their own benchmarks, despite lacking the resources and pedigree of either. Runway, he argues, could follow a similar playbook. The comparison isn’t lost on Runway’s founders. Valenzuela says the startup’s lack of Bay Area “standardization” gives them an edge. Not only do they have diversity of thought, he contends, but without Silicon Valley ties, they had to be scrappier, lacking the war chest many of their peers have access to that would have insulated them from the need to generate revenue early. And according to Michelle Kwon, Runway’s chief operating officer, the company isn’t in a rush to raise more funds, even as compute demands increase with scale. “Their background has led them to be early, to be right more often than not, and to build a culture that moves incredibly quickly,” early investor Michael Dempsey, managing partner at Compound, told TechCrunch. For Valenzuela, that culture starts with how he sees the world in the first place.He spends whatever free time he has — not much, as a co-CEO and new father — reading books, including the Chilean poet Nicanor Parra, whom he describes as the antithesis of Pablo Neruda: less formal, less academic, holding a view that poetry belongs to the people rather than to rules. “Rules are just rules they invented,” Valenzuela said. “That’s a driving force of how we do things at Runway. They say Silicon Valley is here and that’s where the startups are. Why? Those are just made up rules. Scrub them all and start again.”
View
OpenAI launches ChatGPT for personal finance, will let you connect bank accounts
On Friday, OpenAI launched a new set of personal finance tools in preview for ChatGPT Pro subscribers in the U.S., letting them connect their accounts and ask questions ranging from spending analysis to future financial planning. OpenAI has partnered with the financial connection service Plaid to manage the account connections. Users can connect to over 12,000 financial institutions, including Schwab, Fidelity, Chase, Robinhood, American Express, and Capital One. Once users connect these accounts, they will see a dashboard of their portfolio performance, spending, subscriptions, and upcoming payments. The new product comes just one month after OpenAIacquired the team behind personal finance startup Hiro, which was backed by firms like Ribbit, General Catalyst, and Restive, in April. OpenAI said that the Hiro team’s expertise in finance was useful in launching this product but didn’t specify if the entire feature was built by them. OpenAI users can access the tool by selecting “Get started” in the “Finances” option in the sidebar, or typing “@Finances, connect my accounts” in a ChatGPT conversation. Once users do that, the chatbot will guide them about linking accounts through Plaid. The company said it plans to support Intuit soon, which would enable analysis such as the impact of a stock sale on taxes or the odds of a credit card approval. According to OpenAI, more than 200 million users already ask financial questions to ChatGPT every month. The company also noted that the new GPT-5.5 model is stronger at reasoning with context, which is crucial for answering finance-related questions. The company said it worked with finance experts to create a benchmark for the model to improve on personal finance questions. With the new financial tool integration, users can get detailed answers to questions such as “I feel like I’ve been spending more recently. Has anything changed?” or “Help me build a plan to be ready to buy a house in my area in the next 5 years.” Users can go to Settings > Apps > Finances to remove connections to certain accounts if they want. Once they disconnect a service, the synced data will be removed from ChatGPT in 30 days. What’s more, users can also view and delete financial memories from the Finances page. Generalized chatbots are designed to answer anything, leading people to ask questions about data-sensitive topics such as health, finance, and personal life. AI companies are realizing this and making specialized products for these sectors. BothOpenAI and Anthropichave launched health-related tools. Earlier this month, Perplexity launched its ownfinancial research product based on its Computer agent. OpenAI said its personal finance tools will be available on ChatGPT on the web and on iOS for Pro users. It noted that, based on the feedback from these users, it wants to improve the product before making it available to Plus users.
View
Rajasthan Enters Semiconductor Race With First Chip Packaging Plant in Bhiwadi
the facility currently has an annual packaging capacity of 60 million semiconductor units
View
Telangana's Life Sciences Hub Hits $145 Bn, Draws ₹84,000 Cr in 2 Years
Hyderabad now hosts technology and innovation centres of nine of the world’s 10 ten life sciences companies.
View
