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Últimas Noticias de IA
Apple finally fixed Siri. So why does it feel anticlimactic?
Afterroundsofdelays,Siri AI arrivedin the consumer beta build of iOS 27,launchedin July. The AI assistant now does what Apple promised: it understands your personal context, taps into broad world knowledge to answer your questions, and surfaces relevant information stored on your iPhone. And yet, the arrival feels somewhat anticlimatic. Apple finally has a functional — actually, a fairly impressive — AI assistant, but it’s arrived past the time where such a launch feels novel and exciting. If anything, the AI race has surged ahead in the months and years Apple hasdawdledon AI. Today, AI tools are coding and building software, AI agents are completing multi-step tasks, and AI is working alongside you, using your computer, reasoning, thinking, remembering, creating media, and more. Being a functional chatbot or AI helper isn’t the breakthrough that it once would have been. That is not to sayApple’s Siri AIisn’t valuable or useful. With Siri AI’s launch, Apple delivered on its promises and then some. You can now have natural, back-and-forth conversations with Siri, which has settings that let you tweak the expressivity and pacing of its voice responses. You can also type to the assistant, if you choose, or use it via a dedicated app for the first time, referencing past conversations. The assistant can understand your personal context, helping you find things like photos, emails, contacts, texts, or calendar appointments — even when you’re not quite sure what you’re looking for or where. For instance, you could ask it to pull up the last receipt you saved on your iPhone, without saying where it was stored or what the receipt was for, and Siri will find it for you. You can also ask it about things you’ve saved only as a photo, like your Driver’s License number from a pic of your license, or a QR code you screenshotted to reference later, as a reminder to visit someone’s website. You can launch websites and use apps via Siri, doing things like getting directions, playing music, editing a photo, drafting an email, playing your audiobooks, and much more. Thankfully, Siri now consistently and accurately plays the song, podcast, or audiobook you request on your preferred app — a low bar to be sure, but onewhere Siri stumbled before. Siri can brainstorm with you, too. Among other things, it can help you refine ideas, learn about a new topic, or explore a recipe — like suggesting something you can make with your random ingredients in your fridge! You can ask when your favorite band is playing or when a particular event is, and Siri answers correctly, giving you the information you need, based on your location. You can use Siri in the Camera’s viewfinder to learn about things in the real world or to help you split a restaurant bill with your friends. In short, it’s exactly what you always hoped Siri would be: a useful assistant that lets you use your iPhone easily, just by talking, and one that can answer questions of any sort instead of shuffling you off to the web. Theseimprovementswere made possible byApple’s partnership with Googlefor the use of its Gemini AI models. Apple didn’t just slap its name on Gemini AI; it used Google’s technology to train and refine its own proprietary Apple Foundation Models. The result is AI models designed to run on Apple’s own Silicon and on its Private Cloud Compute infrastructure and actually work. Yet, despite finally delivering a functional, helpful version of Siri, it feels almost like Apple fixed a longstanding bug — a forever-broken Siri — rather than doing something revolutionary here. This is how Siri was meant to work all along. The only marvel is that, after so many years of failing to perform tasks correctly, it actually works. The general public who don’t run beta builds on their devices will gain access to the new Siri when Apple officially releases iOS 27, expected in September.
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Influencers draw backlash for attending OpenAI’s first luxury trip
OpenAI’s first-ever influencer brand trip is sparking online backlash as tensions over the use of AI continue. Over the weekend, OpenAI took what appears to be a handful of influencers to a luxury retreat in upstate New York for what was called “Summer Club.” There, the creators were treated to farm-to-table dinners, wellness activities like beekeeping, and classes on how to better use OpenAI products. One creator posted about making a website, while another took a photo of a brochure that said “painting workshop” on it. The videos were aesthetic and lighthearted, but many of the comments were not. One influencer, for example, who posted about going on the trip on her TikTokand Instagramhad comments from people insinuating she sold her soul “for a nice hotel room,” orasking if she could do avideo reconciling her trip with AI data centers’ environment impact. Another influencerwho posted about the trip was askedif she was going to do a get-ready-with-me (the popular video format where influencers record their process of getting ready) about touring a data center. When TechCrunch reached out to a third influencer about her time on the trip, she appeared to have deleted the video she made about her time there, although she retained others that don’t explicitly reference that they were part of the OpenAI brand trip. It’s not surprising that OpenAI is enlisting influencers by offering luxury brand trips. In February, Vanity Fairreported that the company hired“celebrity whisperer” Charles Porch as its first VP of global creative partnerships. Porch was coming from Instagram, where he was VP of global partnerships. In announcing the hire, Porch said that his job was going to be talking to creative communities “to figure out how we build the best products to serve them,” and he planned to do a “listening tour” to learn more about the relationship people have with AI tools. It’s important to note that OpenAI is not the only AI lab that has worked with influencers. Anthropic reportedly hosted an influencer brand dinner for Claude, and back in February, Microsoft Copilot hosted an influencer brand trip to the Super Bowl, the tech newsletterSarah and Kate reported. None of those other AI trips seem to have struck as big of a nerve as this OpenAI brand trip. Oneinfluencer took to LinkedIn to writethat she thought people “would be interested in the behind-the-scenes tips and tricks” of using OpenAI technology, but didn’t realize how many people were anti-AI. “I didn’t for one second consider it would be controversial,” she wrote. TechCrunch spoke to a person who left a negative comment on a video posted by an influencer attending the OpenAI Summer Camp. The commenter pointed out that many Americans have a negative view of AI and that there needs to be a conversation about how to use the technology more responsibly. “These posh influencers events are, again, giving people ammunition to have negative opinions,” she told TechCrunch. “The world is on fire. It’s not a great time ot brag about your $5,000-a-night suite.” There is also more to the timing of the trip that struck people. OpenAI is set to strikea $500 billiondeal to build a data center in Ohio, during a time when the socio-ecological impact of AI data centers has taken center stage. The irony was not lost on some commenters that OpenAI held a brand retreat in a luxury resort nestled in nature. Other commenters also noted OpenAI’s $200 millioncontract with the Department of Defenseas a reason the brand trip evoked ire. TechCrunch has reached out to influencers for comment. OpenAI did not immediately respond to a request for comment.
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DesignArena creators raise $7.9 million to bring taste to AI models
As co-founder Grace Li tells it, her company started a few weeks before graduation in 2025, with a handful of college friends trying to make their AI game engine work. The models could make functional games, but none of the games were fun — which raised the interesting question, how can you tell if a game will be fun? There was no substitute for human judgment, they decided, and soon they were brainstorming ways to get honest human feedback at scale. The result becameDesignArena, an AI tool now used by 5.3 million people around the world. As it turned out, there were lots of AI companies looking for scalable user feedback — and many of them were willing to pay for it. “It was the missing bottleneck for a lot of these models to make improvements in the design space,” Li says. “About a week later, we closed our first major deal with a frontier lab, and the rest is kind of history.” On Monday, the company behind DesignArena — dubbedIntelligence— announced a $7.9 million seed round led by Index Ventures with participation from Conviction (Sarah Guo and Mike Vernal), A*, Valkyrie, and others. For non-enterprise users, using DesignArena is a lot like using a sophisticated model router. There’s a Chat-GPT-style window for prompts, with separate dropdowns for websites, images, and a dozen other visual formats. Once you put in the request, format and style, you’ll be presented with a series of “A vs. B” choices until you’ve ranked the handful of outputs from best to worst. It’s a useful service, but the real value of the platform comes from the enterprise side, where participating models can treat it as a source of endless instant feedback for their media-generating models. The users tend to be indifferent to which models they’re ranking — as Li puts it, they just want the best output they can get — so their rankings can give critical input to what users really want. For frontier labs, that’s a service worth paying for, Li says, adding the site is currently generating $60 million in ARR, solidifying its position as a key source of human-led evaluation data for the AI industry. Crucially, users have to log in to get their output, so Intelligence can also track how those tastes change across different continents and over time. (Li notes that web dashboards in Asia tend to have a more maximalist design style.) These measures are an important complement to automated benchmarks, which can operate at a greater scale but are often subject to being gamed or otherwise manipulated, asthe Hugging Face breachdemonstrated in dramatic fashion last week. That’s not to say that crowdsourced human feedback will be an automatic winning market. Less than a year after launching,Yupp shuttered its doors earlier this year after raising $33M from a16z crypto’s Chris Dixon. It too nabbed some frontier models as customers and had, it said, over 1.3 million users, but still couldn’t build a sustainable long-term business. Even so, other startups based on human evaluation seem to be thriving. LM Arena, which takes a similar approach to text-based responses,raised $150 million in a Series A in January, just four months after formally launching its paid product.
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Tech Mahindra’s AI Chief Thinks India Is Building the Wrong AI
“The end goal is to actually produce something which only India has the ability to produce.” That, according to Malhotra, requires a very different mindset.
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A Marc Benioff-backed startup thinks AI can solve the AI deployment problem
It’s so hard for big businesses to get AI tools working reliably that whole new organizations offorward-deployed engineersor FDEs— specialists who drop into a company to get its AI systems up and running — are springing up to help them. “AI, paradoxically, increases the demand for professional services,” says Efrat Rapoport, a former Salesforce executive whose new company, June, emerged from stealth Monday morning. “The industry’s answer to AI implementation is, ‘let’s hire more and more and more people.” Rapoport and her three cofounders — Ohad Hen, Barak Goldstein, and Idan Tsitiat — have a different idea about how to bring AI into broader use. To pursue it, the company raised $20 million in pre-seed funding led by Marc Benioff’s Time Ventures, with additional backing from tech luminaries like Michael Dell, Aaron Levie and George Kurtz. The company declined to share its valuation. The four founders previously startedBonobo AI, a pre-transformer language model company that launched a voice-to-text service in 2017. Bonobo AI was snapped up two years later by Salesforce, and the team worked for several years on the tech giant’s AI initiatives before setting out on their own again after watching customers struggle to bring AI into their existing platforms. Their potential was clear enough to their investors, Rapoport says, that “we didn’t even have a deck for this raise.” While the so-called SaaSpocalypse has software firms fearing that AI might replace them, thus far no one is vibe-coding a CRM for a Fortune 500 company. Any AI model brought into a corporate setting still has to work with Salesforce, ServiceNow, DataBricks, Workday, or any of a dozen other data-management platforms. “Before AI can create value, someone has to deal with legacy systems,” Rapoport says. “You have fragmented data across these platforms. You have complex workflows. You have years of technical debt.” Building an agent template is the easy part, she says. The hard part is getting it to work with the mess underneath. “How does an agent know how to operate when you have 10 duplicate [database] fields that say the same thing, and different teams are using them?” June’s platform scans a company’s existing systems to understand its business processes, find bottlenecks, and then build more optimized, agent-powered processes to replace them, automatically notifying teams through the company’s comms channels. “We give you the full roadmap automatically of what needs to happen step by step for you to actually implement this agent successfully in an enterprise environment, which is often very complex,” Rapoport said. “We give you a step by step guide. ‘Remove these duplicates. Connect to this data source.’ And then you click on ‘build’ on each task, and June starts building it for you in the organization.” Paul Akinmade, chief strategy officer at CMG, a major U.S. mortgage lender, moved his company’s software engineering over to Claude Code quickly, but hit roadblocks trying to integrate it with Salesforce. That was a problem since he’d promised at Salesforce’s annual conference the year before that he’d return with 100 agents running, and it wasn’t looking like he’d hit that target.Akinmade says his team spent weeks hitting a wall — meeting with architects, talking to forward-deployed engineers, consulting everybody they could — without making progress. June changed that, he says, giving his team a clear view of where to deploy agents and letting them do so safely, even before the official kickoff call between the two companies Rapoport sees June as a tool that complements FDEs and consultants, but her customers may be drawn to it for the opposite reason: it lets them avoid FDEs altogether. When Akinmade was first considering piloting the tool at CMG, he says he told her: “If your product requires FDEs, I don’t want your product. I’ve already I’ve already done that and I’m getting annoyed by it. I don’t want a black box. I don’t want something only certain people can figure out. I want an easy-to-use tool.” Evidently, June cleared the bar.
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OpenAI’s Unreleased Astra Model Solves 10 Long-Standing Math & Computer Science Problems
The company also released research papers, Lean-certified proofs, and the model’s reasoning walkthroughs for each result.
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Alibaba’s Qwen3.8-Max To Become First Open-Weight Max Model
Qwen3.8-Max offers competitive results versus GPT-5.6 Sol and Anthropic’s Claude Fable on several public benchmarks.
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Physical AI's Biggest Problem? Teaching Machines How to Feel
Deccan AI, a physical AI startup that recently raised $25 million, believes the hardest data annotation isn't visual. It's touch.
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Identity May Become as Fundamental to AI Infrastructure as Compute and Cloud
As Indian enterprises embrace AI, Ping Identity views digital identity as essential for securely scaling AI and managing regulatory demands.
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PM Modi Lays Foundation Stone for South India's First ISM-Approved Semiconductor Facility in Visakhapatnam
The project will begin operations with an initial investment of over ₹460 crore in partnership with South Korean semiconductor company APACT Co.
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Why 96% of Govt AI Projects Stall—And It’s Not About Money
Industry experts argue that the problem is not a lack of interest or funding, but the complexities of operationalising AI across fragmented government systems
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Nurix AI Rebrands to NuPlay AI, Targets 4x Growth
The rebranding follows NuPlay AI’s acquisition of Verloop.io, which expanded its conversational AI capabilities.
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