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Últimas Noticias de IA
Indian Enterprises Turn to ‘Agentic Watch Guards’ to Police AI & Human Behaviour
As autonomous AI agents multiply across Indian workplaces, companies are deploying supervisory ‘guardian agents’ that continuously watch machines and employees together, shifting oversight from checking outputs to monitoring behaviour in real time.
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Delhi High Court Rejects ANI’s Interim Plea in ChatGPT Copyright Dispute
The court found no evidence that ChatGPT had memorised and reproduced ANI’s content.
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Google Expands Gemini Spark Access to AI Pro, AI Ultra Subscribers; Gemini Live Now Available on Older Home Devices
Google on Thursday announced the expansion of Gemini Spark to more users. The personal artificial intelligence (AI) agent, which was first announced at Google I/O earlier this year, will be rolling out to Google AI Pro subscribers in the US. Further, Google AI Ultra subscribers in additional markets will gain access to the feature, along with support for local languages. The Mountain View-based tech giant is also expanding Gemini Live to more of its older smart-home hardware.
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Myntra is Drawing the Line Between What AI Can and Can’t Access
Fashion retailer Myntra is embedding access controls and governance into AI as it scales customer and enterprise applications.
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Oracle Wins $7 Bn US Department of War Software Contract
The 10-year agreement creates a central procurement vehicle for Oracle software, cloud services, and AI offerings across the US Department of War.
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AI Deals Now Make Up 63% of Mphasis' New Contracts as Q1 Profit Rises 11% YoY
Mphasis’ operating margin narrowed as higher costs weighed on profitability despite strong deal momentum and acquisitions.
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Fractal’s Net Profit Declines 37% QoQ Even as Enterprise AI Demand Lifts Revenue Past ₹900 Cr
Fractal Analytics’ shares plunged nearly 6% after Q1 FY27 results despite the pure-play AI company increasing its profits YoY and expanding margins.
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The $205 Bn AI Bet Google Can’t Afford to Lose
Record cloud growth, rising Gemini adoption and a new TPU business suggest Google’s AI investments are finally beginning to show returns.
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How AI guardrails are impeding the work of offensive cybersecurity researchers
For months, AI giants have devised special vetted programs and strict guardrails to limit the use of their models by malicious hackers. But these limits are now hindering the work of legitimate network defenders, as well as that of offensive cybersecurity researchers. In June, the U.S. governmentslapped export control restrictionson Anthropic’s much-hyped AI models Mythos and Fable. The move was prompted at least in part by a report that claimed it was possible to bypass the models’ guardrails designed to prevent users from using them to build and execute malicious cyberattacks. Regardless of whether the incident was really motivated byfears of a jailbreak, the fact is that Anthropichas repeatedly marketedMythos assome kind of doomsday cybermachinethat can only be given to carefully vetted users, and even then with strict guardrails in place. (The export controls on Fable 5 and Mythos 5 have since been lifted. Fable 5 returned to general access on July 1; Mythos 5 has been reintroduced only to vetted U.S. organizations as part of the government’s review process.) That kind of gatekeeping isn’t unique to Mythos. Both Anthropic, with its other models, and OpenAI offer cybersecurity researchers programs they can apply to get vetted and — if approved — access models with fewer cybersecurity restrictions: OpenAI’sTrusted Access for Cyberand Anthropic’sCyber Verification Program. These guardrails have been widely criticized, particularly by researchers whose job is to find unknown vulnerabilities in systems and devise ways to exploit them before criminals do. During a recent appearance on a cybersecurity podcast, Mark Dowd, a well-known security researcher,saidthat, “it’s not really comfortable to me that these random large companies are making arbitrary decisions about what is safe in security and what’s not.” Dowd has spent decadesfinding and selling “zero days”— previously unknown software flaws and the exploits that take advantage of them — to Western governments, rather than report them to the software makers so they get patched. Governments pay a premium for vulnerabilities precisely because they stay open, which is useful for intelligence operations. Dowd admitted his work may make him biased, but he isn’t alone. Several people who work in offensive cybersecurity — they proactively probe systems for weaknesses — described to TechCrunch how they use AI tools and deal with their guardrails. Chris Anley, the chief scientist at security consulting giant NCC Group, said that asking an AI model to try to exploit a bug is a key step in confirming it’s a real vulnerability worth fixing. But if a guardrail prompts the model to refuse to answer the question outright, the guardrail hurts defenders, he said. “This is where the whole offensive versus defensive and guardrails part comes in, because ‘fix this code’ as a prompt is both an essential mechanism for defense but also a roadmap for finding critical vulnerabilities in the code base,” said Anley. “So at the same time, the same tool is both an offensive tool and a defensive tool, and the two can’t really be unpicked.” It’s “like a hammer,” he continued. “You can’t build a house without a hammer. It’s definitely a tool but it’s also irreducibly a weapon as well.” When he and his colleagues run into such a roadblock, they sometimes fall back on open-source AI models that come with no guardrails at all. Paolo Stagno, the chief technology officer at CrowdFense, a well-known company that develops, acquires, and sells unknown vulnerabilities to government agencies, agreed with Dowd, saying AI companies “essentially treat customers like children who need babysitting” with their vetted programs and guardrails. Stagno said he and his colleagues do use frontier models — but only for reverse engineering. They avoid using AI to help find vulnerabilities or build exploits, he said, because feeding that work into a cloud-based model risks leaking sensitive vulnerability data or having it absorbed into future training runs. For that step, he said, they use open source models run locally, as they do not rely on sharing data outside of the model. Giuseppe Cali, a security researcher who finds zero-days and develops exploits, said guardrails are not impeding his work. That’s because he doesn’t use AI for offensive work; instead, he uses it for initial reverse engineering, to understand the code he’s analyzing, and to build supporting tools. For that, he said, AI tools can speed up the process and allow him to focus on discovering vulnerabilities. “I still want to own the actual bug discovery and weaponization myself and that wouldn’t change if all guardrails were lifted tomorrow,” said Cali. “I am jealous of my bugs, and I like this game too much to let models play it for me.” One researcher at a smartphone-component manufacturer, who spoke on condition of anonymity because he isn’t authorized to talk to the press, said his employer isn’t part of Anthropic’s CVP program and as a result, its tools are barely useful for finding vulnerabilities because the guardrails are too strict. “If it catches wind we’re doing anything security related, it just stops and isn’t usable,” the person said. Chris Thompson — chief executive of cybersecurity firm RemoteThreat and founder of Offensive AI Con, an offensive security and AI-focused event — said that in his experience using the frontier AI models, the guardrails can be inconsistent and work differently every day. That’s true even inside the looser boundaries of Anthropic and OpenAI’s vetted programs. “I think the practical impact is you spend a lot of time negotiating with the model instead of working on the core security program,” said Thompson. “Instead of analyzing a vulnerability and reasoning through the exploitability, you’re trying to find why you’re getting inconsistent results or why are models over-sanitizing the output.” As a consequence, researchers rely on or get pushed toward Chinese open-source models like GLM — freely downloadable models that can be run locally with no vetting or usage restrictions — said Thompson. “You have these responsible researchers that are being pushed away from U.S.-governed systems to foreign-owned systems,” he said. “I think it’s more harmful than good to have these guardrails in place.” Rather than tightening restrictions further, Thompson called for the AI frontier labs to open up their programs, provide responsible access, and also hold those who abuse their tools accountable. Otherwise, he argued, defenders will lose the AI race. “There’s this big storm coming. There’s this big wave of attacks that are going to happen at speed and scale like never before,” said Thompson. “But the same security consulting firms and legit researchers that are trying to make a difference are being stifled right now.”
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AMD takes on Nvidia with its Helios AI rack-scale system
Chipmaker AMD is taking aim at competitor Nvidia with its latest hardware release: a rack-scale system designed to power computing needs of the world’s largest AI labs. At the company’s sold-out Advancing AI conference in San Francisco on Thursday, AMD Chair and CEO Dr. Lisa Su promoted the new AI rack system known as Helios — along with its growing list of customers, including Microsoft — as the company prepares to ship it later this year. Su also pitched the company’s newest chips that are designed to feed the compute-hungry dragon that is the AI industry. Rack systems combine many processors into asingle high-powered unit. They are built for data centers, where they train and run AI models and other compute-intensive workloads. Su called Helios the tech industry’s “highest-performance AI rack,” adding that it was “built to train and run the most demanding frontier models in the world at massive scale.” The system will be deployed by leading AI companies at gigawatt-scale, the company said. Nvidia has historically dominated this market with itsVera Rubin and Grace Blackwellrack-scale systems. AMD is clearly looking to get in on the action. And Helios’ performance metrics appear to give it a real chance, beating out Vera Rubin by a number of metrics,The Register reported. Helios, which was revealed in 2025 andshown onstagein January at CES 2026, already has several well-known customers, including OpenAI, Meta, Oracle, Anthropic, and Microsoft, all of whichhave plans to deploythe system. Microsoft CEO Satya Nadellasaid Mondaythat the company would expand its Azure infrastructure with Helios. Meanwhile, Anthropic and AMDannounced a strategic partnershipWednesday to deploy up to two gigawatts of GPUs via the new rack system. AMDalso introducedThursday its Venice-X CPU, which is designed for data centers and to handle high-computing workloads. The Venice-X is expected to launch in 2027. During her remarks, Su commented on the trajectory of the chip industry, claiming that, by the year 2030, chips that power AI will become a massive part of the overall computing market. This is because the industry is “seeing a step change in compute demand” driven largely by the rise of agentic AI, she said. “When you ask the agent to do something, it actually has dozens of steps, and it has to reason, and it has to call tools, and it has to access data, and it has to keep doing it over and over until it solves the problem, and so you need lots of GPUs to do all that,” the executive said. “We’re now expecting that by 2030, the AI accelerator market is going to reach about $1.4 trillion,” Su said. “What that means is, by the end of the decade, the AI accelerator market is going to approach the size of the entire semiconductor market today.” “We do expect that GPUs are going to make up the vast majority of that market because the algorithms are still very much in their infancy, and we’re still continuing to see the workloads change, and that favors programmability in the overall silicon ecosystem,” she added.
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Meta launched a new AI optimism ad set to a song about human extinction
Meta’snewest advertisementbegins with a black-and-white shot of an eye, showing us what someone sees as they read countless panicked headlines about how AI is going to take our jobs, isolate us, and spark a global crisis. “Some people will have you believe AI is going to make us feel less connected. That it’s going to leave us behind,” a voiceover says. “We couldn’t disagree more.” Suddenly, the video shifts to color, and shows a cycle of different people opening their eyes and smiling. Then, we see a couple dancing on a rooftop, pointing at a rainbow; a group of teens swimming in a lake; a child frolicking in a field; friends embracing after time apart. “Call us optimists. Call us dreamers. Call us whatever the hell you want. But we’re betting on people, and we like those odds,” the voiceover says. “The future is for everyone.” That’s a nice sentiment — pretty convenient for a company betting hundreds of billions of dollars that AI will revolutionize humanity. But the strangest part of the advertisement is not that we’re watching these happy moments play out via Instagram posts. It’s that the soundtrack to the ad is the David Bowie song “Five Years.” If you are not familiar with this song, I urge you togive it a listen,read the lyrics, and think about what it is trying to say. It seems clear to me, but I studied poetry in college, so as a control for this experiment, I asked my brother — a blockchain analyst who loves Claude Code and does not read for fun — if he could tell me what the song is about. “I thought climate change at first, then zombie apocalypse, then an asteroid hitting the earth,” he told me. He is correct. It is a song about the human race panicking after learning they will die in a mass-extinction event in five years. If you’re not familiar with Bowie’s music, this track might sound happy and inspiring, matching the ad’s upbeat tone. The part of the song that is used for the advertisement was probably chosen because it uses the word “people” over and over again, and without the context of the song, it’s not clear what it’s about. But if we look at the lines directly preceding this section: News had just come overWe had five years left to cry inNews guy wept and told usEarth was really dyingCried so much his face was wetThen I knew he was not lying We “had five years left to cry in” and the “earth was really dying.” It’s pretty bleak. It is not reassuring to convince people that AI is going to make the world better while playing a song about the end of the world, and yet, this contradictory musical choice seems to have sailed right past everyone at Meta, including CEO Mark Zuckerberg. “Meta has always believed in giving people the power to share, connect, and shape your world in the ways you want,” hewrotealongside the video. “As we enter this next wave with AI, we continue to believe the future is for everyone. We’re focused on giving every person the tools to reach your full potential and making sure the benefits of technology are distributed to everyone.” Then again, tech leaders are not known for their literary analysis skills. Meta’s Oculus used to give new hires copies of the science fiction novel “Ready Player One,” which is set in a dystopia in which a tech company making virtual reality products becomes overly powerful and evil. OpenAI CEO Sam Altman hasdirectly citedinspiration from the movie “Her,” which warns us about what can go wrong when weuse AI for emotional support. Palantir, a company that builds AI surveillance systems for the government, is named after Palantir, a seeing stone from the “Lord of the Rings” franchise that the Dark Lord uses to spy on his enemies. Elon Musk iscurrently throwing a fitabout the “accuracy” of Christopher Nolan’s blockbuster adaptation of “The Odyssey,” a story with such realistic elements as sea monsters, magic, and divine intervention. These guys make a great argument for the value of studying the humanities. Sci-Fi Author: In my book I invented the Torment Nexus as a cautionary taleTech Company: At long last, we have created the Torment Nexus from classic sci-fi novel Don't Create The Torment Nexus Meta isn’t alone in its recent promotional foibles. Instead of racing to build AGI, the top AI companies seem to be fighting over who can make the creepiest advertisement. A few weeks ago, Anthropic released an eerie video of its own. As my colleague Lucas Ropekdescribedit: The ad begins with a video of a burning house (not exactly a heartwarming start) before pivoting to a series of still images. These images include a crowd of people being surveilled by facial recognition, a homeless person sleeping on the street, rows upon rows of tombstones in a cemetery, and what appears to be a group of laborers toiling in a mine where (presumably) raw materials for smartphones are being dug up. Meanwhile, a voice-over track features different people asking questions like “Can AI be trusted?” and “Who’s gonna hit the brakes if we need to?” Anthropic is trying to convince us that it understands the risks AI poses to society, and therefore, this is the company that people can trust to develop AI responsibly. The message it actually conveys feels closer to the mood of Bowie’s “Five Years.” i thought this was satire, kept looking for the handle to be spelled c1audeai or somethinghttps://t.co/4AVBA93Z27 OpenAI CEO Sam Altmanrespondedto the Anthropic ad, “I thought this was satire, kept looking for the handle to be spelled c1audeai or something.” As these companies spar to control the public perception of AI, their efforts don’t seem to be making much progress. A recentPew surveyfound that only 16% of Americans think that AI’s impact on society over the next 20 years will be positive, and 40% believe it will have a negative impact. Better luck next time, Meta.
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OpenAI makes ChatGPT Health available to all US users
OpenAI said today it is making ChatGPT Health, a feature that helps users with health-related queries, available to all U.S.-based users over 18 across all plans. The announcement comes a day after a Florida-based pastor sued the company for givinga near-fatal suggestion not to consult a doctor. The company started testing the feature through a dedicated hub earlier in January, allowing users to integrate data from other services and their personal information from services such as Apple Health, Function, and MyFitnessPal. At that time, OpenAI said users were asking 230 million health-related queries each week. That number has now gone up to 300 million. Users can also integrate their medical records from hospital systems like Epic and Oracle Health, and health platforms like One Medical and Function Health. OpenAI said earlier that users needed to use the health hub for health-related queries. Now they can choose to draw insights from connected information in the health section in all queries. The company said during the testing it observed that 70% of health-related queries took place outside the dedicated hub. Through this new feature, users can use their health information to get information on food or allergies in the general chat. The company noted that its models have made progress in answering health-related queries. The company noted that the smallest model from its latest release, GPT 5.6-Luna, outperforms GPT 5.5 on HealthBench evaluation, an open source benchmark developed by the company toevaluate large language models (LLMs) on health queries. OpenAI said that it doesn’t use any user data to train its model, and it works with physicians to improve its models on health queries. Despite these performance gains, the company maintains in its terms that its services are “not intended for use in the diagnosis or treatment of any health condition.” The company cited these clauses in response to the above lawsuit, and also toldThe New York Timesthat it is working on making health- or medicine-related answers safer. With the latest roll out, OpenAI said it wants people to verify information and take medical decisions based on professional advice. Severalstudieshave highlighted that AI bots are not reliable for medical advice. However, this has not deterred companies likeAnthropicandGooglefrom launching health-related AI features. Health in ChatGPT is rolling out to logged-in U.S. users with free, Go, Plus, and Pro plans on the web and iOS this week.
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