Singapore AI News & Daily Briefing

Bezos, others invest in Temasek-backed AI startup to discover new materials for chipmaking. CuspAI aims to reduce chipmaking’s use of rare metals with supply chain risks

Oracle lets enterprises run AI agents within Fusion controls. Oracle says AI agents should be judged by business results, not task volume. Oracle has introduced a builder experience that allows customers and partners to create and run agentic applications within Oracle Fusion Cloud Applications. Announced last week, the update brings natural-language, no-code, low-code, and […] The post Oracle brings governed AI agents to Fusion Applications appeared first on TechWire Asia .

Lawyers and CIOs are grappling with this issue when a company’s decision-maker isn’t an actual person WITH the rise of artificial intelligence, one question that is often asked is who is accountable when an AI agent makes a decision? Nobody, it turns out, if you ask the senior management at Air Canada. In 2022, a traveller named Jake Moffatt asked the airline’s chatbot how a bereavement fare discount worked. The chatbot replied to say he could book the fare first at full price and claim the discount within 90 days. That response, however, turned out to be wrong. When Air Canada refused to honour it, Moffatt took them to a small claims tribunal in British Columbia. The airline argued – and I am not making this up – that the chatbot was “a separate legal entity” responsible for its own words

Amazon and Meta both retired internal AI token usage leaderboards this year after employees gamed them Southeast Asian firms are setting their AI metrics now, with six in ten reporting under 5% EBIT impact China’s daily AI token usage reached 140 trillion in March, up from roughly 100 billion at the start of 2024, National […] The post AI token usage is not productivity. Here’s what to measure instead appeared first on TechWire Asia .

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As artificial intelligence accelerates across industries, organisations are entering a new phase of digital transformation where innovation must be balanced with control, trust and resilience.  While AI presents significant opportunities to enhance decision-making, optimise operations and create new business value, leaders are facing a fundamental challenge**: how can organisations scale AI adoption while maintaining control over the digital foundations that power their businesses?** Digital sovereignty has become a strategic priority for governments and enterprises as organisations navigate growing technology dependencies, evolving regula

[Search](https://www.businesstimes.com.sg/search) [](https://www.businesstimes.com.sg/global?ref=logo "The Business Times")  / Sign up for free [Subscribe](https://subscribe.sph.com.sg/btpe-mthlyprepaid/?utm_campaign=btp99&utm_medium=sph-publication&utm_source=bt&utm_content=subscribebutton-header) # DeepSeek founder’s fund slumps 16% as AI rout hits China quants Liang Wenfeng’s Zhejiang High-Flyer Asset Management loses 15.7% in the week ended Jul 17 [Summarise](https://www.businesstimes.com.sg/pulse/article/9392305?ref=pulse-article-top) ![Image 3: share icon](blob:http://localhost/2a264bcbe362008e285b1a

For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On Tuesday, Google will formally retire that paradigm. At its annual I/O developer conference , Google announced a sweeping redesign of the search box itself — the literal text field where billions of queries begin every day — transforming it from a simple keyword input into a dynamic, AI-driven conversation starter that can accept text, images, PDFs, videos, and even open Chrome tabs as inputs. The company is also merging its AI Overviews and AI Mode features into a single, seamless search flow, eliminating the friction that previously forced users to choose between a traditional results page and

Railway , a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence applications exposes the limitations of legacy cloud infrastructure. TQ Ventures led the round, with participation from FPV Ventures , Redpoint , and Unusual Ventures . The investment values Railway as one of the most significant infrastructure startups to emerge during the AI boom, capitalizing on developer frustration with the complexity and cost of traditional platforms like Amazon Web Services and Google Cloud . "As AI models get better at writing code, more and more people are asking the age-old question: where, and how, do I run my

One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup’s AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year. The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item’s molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile—or reports that it’s phony. Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge’s native Nigeria. But that morning in South Africa, it didn’t work. “I was shocked,” Alonge says. The spectrometer connected to the AI model—but the data center was

This article is brought to you by X Square Robot . Large language models gave artificial intelligence a working recipe. Pretrain a large model on broad data, and general capability follows. Robotics has no such recipe. Robotics systems have long been assembled from separate perception, planning, and control parts that rarely add up to intelligence a robot can carry from one task to another, or one machine to another. The central problem in embodied AI is to find the equivalent recipe, and the field does not yet agree on what it is. X Square Robot , a Chinese embodied-AI company, has made an unusually explicit bet. It argues that the recipe is an integrated stack, spanning the data a robot learns from, a world model for predicting changes in the physical world, and an action model that brin

Models that can work autonomously for long periods can take on difficult, open-ended problems. But the same persistence that makes them useful also gives them more opportunities to take unwanted actions—and to do so in ways that evaluations intended for shorter-horizon models may miss. About two months ago we [announced⁠](https://openai.com/index/model-disproves-discrete-geometry-conjecture/) that an internal general-purpose model disproved the Erdős unit distance conjecture. This model was designed to work autonomously for very long periods of time. During limited, monitored internal use, we observed unwanted behavior that our existing deployment evaluations had not captured. Because the deployment was limited and monitored, we were able to identify these problems, pause access, create ne

[Prentis](https://www.prentis.ai/), a new AI research lab focused on computer use models, co-founded by serial entrepreneur Ritankar Das and tech heavyweights Reid Hoffman and Mark Pincus, is in talks to raise $100 million at a $1 billion valuation, according to two people familiar with the discussions. Launched in April, Prentis is training models to learn how office workers navigate routine workflows across documents and systems, with the goal of building AI agents that can control computers to automate those tasks. Prentis will ostensibly develop agents tailored to these customers’ needs, such as handling insurance claims and automating customs duty refund exceptions without needing a human to hunt down paperwork. The startup has already signed contracts worth up to $50 million with sev

Trending: ###### [Singapore: Updating Cybersecurity Rules for Critical Infrastructure](https://opengovasia.com/singapore-updating-cybersecurity-rules-for-critical-infrastructure/?c=us) ###### [Hong Kong Expands Taxi Fleet Programme to Improve Service Standards](https://opengovasia.com/hong-kong-expands-taxi-fleet-programme-to-improve-service-standards/?c=us) ###### [Singapore and Australia Deepen Cooperation on Trade, Energy and AI](https://opengovasia.com/singapore-and-australia-deepen-cooperation-on-trade-energy-and-ai/?c=us) ###### [Madanapalle Advances Zero-Waste City Strategy Through Scientific Recycling](https://opengovasia.com/madanapalle-advances-zero-waste-city-strategy-through-scientific-recycling/?c=us) ###### [India Expands Digital Legislative Operations Through NeVA Programme]

Singapore-founded neocloud [Aolani](https://www.aolanicloud.com/) has partnered with [Rafay Systems](https://www.rafay.co/) to deploy what the companies describe as one of the industry’s first implementations of NVIDIA DSX OS running on NVIDIA GB200 NVL72 infrastructure. The collaboration, announced on 27 July, pairs Aolani’s AI cloud infrastructure with the Rafay Platform’s orchestration and governance tools, aiming to move enterprise and cloud providers beyond simply deploying GPU capacity towards operating production-ready AI platforms. ## Addressing the Software Layer The companies said the deployment simplifies infrastructure bring-up, automates lifecycle management and enforces enterprise governance, giving developers immediate access to production-ready AI environments for model dev

By Eduardo Baptista BEIJING, July 27 (Reuters) - China's commerce ministry on Monday accused the United States of "AI hegemonism" and threatened countermeasures after senior U.S. officials said Chinese AI companies could face investigations, sanctions and trade restrictions ‌over the alleged theft of U.S. technology. The ministry said Washington was threatening Chinese companies with punishment based on allegations ‌they used "distillation" to copy advanced U.S. AI models, despite what it called a lack of factual or legal grounds. Model distillation is a widely used AI ​training technique in which developers use the outputs of a more capable model to train or improve another system. U.S. officials say they distinguish between legitimate distillation and large-scale extraction that amounts

* Anthropic is the only major AI lab that has not yet backed Silicon Valley's defense of open-weight AI. * OpenAI, Google, Microsoft, and SpaceX signed a letter asking the US to support open-weight AI. * Anthropic's silence has been criticized by figures across the tech industry. The tech industry is rallying around open-weight AI, but one major lab is staying conspicuously silent. Anthropic is drawing criticism from across Silicon Valley for not signing an open letter advocating for open-weight AI as Washington considers restrictions on some Chinese models. On Friday, [over two dozen companies](https://www.businessinsider.com/microsoft-nvidia-meta-palantir-jensen-huang-open-source-ai-letter-2026-7?utm_medium=referral&utm_source=yahoocom&utm_medium=syndication&utm_source=yahoo) — including

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Jensen Huang, founder and CEO of Nvidia, says spotting a scalable algorithm early turns one breakthrough into a lasting strategy.

Update on Wiz And Google Have An Answer To Mythos, And It’s Not A Model. Coverage via Yahoo Singapore Tech.

A trove of chat logs and projects created with Anthropic's Claude —some including sensitive personal and company information — have been left exposed to Google, making them them searchable to anyone on the web. The artifacts appear to have been made public when Claude users opted to distribute a given chat or project to colleagues or associates using the chatbot's "share" feature. After hitting a "share" button in the top right corner, Claude notes that sharing will create a "public" link, and "anyone with the link can view." The warning, though, doesn't alert users that shared content could wind up being indexed by a search engine —meaning that a user could effectively be sharing their Claude-generated document with the entire internet. Some of the artifacts exposed to the web and indexed

The tech overlords pushing the AI boom are quickly wearing out what little welcome they had. You may have noticed big-name AI labs pushing new commercials lately. Meta's new [60-second ad spot](https://www.facebook.com/watch/?v=1344461651205053) insists that the "future is for everyone," even as CEO Mark Zuckerberg's personal net worth eclipses the GDP of Hungary. Anthropic's [new commercial](https://youtu.be/jVbGX7zJHi8?si=eW83AvqDpxeT0mAO) for Claude assures viewers that there's "hope in hard questions," seemingly embracing the discomfort that comes when your software is used to [bomb elementary schools](https://futurism.com/artificial-intelligence/pentagon-ai-claude-bombing-elementary-school) in Iran. For as magnanimous as these new PR stunts appear on the surface, a vast swathe of the

* Sam Altman says one of his biggest fears is what he calls "AI authoritarianism." * That's when AI is controlled by a small number of companies or countries that gatekeep the tech. * A debate over AI access erupted last week after the release of Kimi K3, a Chinese open-source model. OpenAI CEO [Sam Altman](https://www.businessinsider.com/sam-altman?utm_medium=referral&utm_source=yahoocom&utm_medium=syndication&utm_source=yahoo) says one of his biggest concerns about AI isn't whether it becomes too powerful in and of itself, but that a single company could control that power. "I think the fight of the current moment is: Are we going to head to a world of AI authoritarianism or liberty?" Altman said on the latest episode of the "Relentless" podcast. "Every time that humanity has traded off

[SINGAPORE] Financial services giant HSBC is on the lookout for more than 100 artificial intelligence specialists for its first global AI centre of excellence that it is setting up in Singapore later this year. In a news release on Monday (Jul 27), HSBC announced that this AI centre of excellence will work with teams in wealth management and global payments solutions, together with London-based chief AI officer David Rice, who was appointed earlier this year. For wealth management, this involves AI-enabled wealth journeys and AI portfolio builders. In the global payments space, HSBC will develop agentic solutions for corporate treasurers and AI-enabled e-commerce payments. Eventually, the plan is for the Singapore-built tools to be used across HSBC’s global network. The focus areas will in

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Of late, Artificial Intelligence (AI) has quickly emerged as one of the biggest conversations at work. For some workers, it has been a helpful assistant — checking grammar, summarising information, keeping track of deadlines or helping them get started on unfamiliar topics. For others however, the concern with AI goes beyond having to learn a new tool. Rather, it is the fear that parts of their role could be automated, that their experience might be less valued or that they may even find themselves eventually displaced by AI one day. ## Anxiety of job loss has been acknowledged by PM Wong Such fears have been acknowledged by Prime Minister Lawrence Wong. In his May Day [speech](https://mothership.sg/2026/05/pm-wong-may-day-speech/), PM Wong acknowledged that “not everyone feels ready” and

For centuries, fighting wars meant deploying hardware such as tanks, aircraft, artillery and weapons, built by a handful of prime contractors under long-term government programmes. It also meant putting boots on the ground. That paradigm is not disappearing, but software is becoming increasingly central to it. And now, more soldiers are fighting wars through a screen. The military AI industry now encompasses everything from cloud computing to autonomous drones and decision-making software. This shift traces back to the US drone programme of the 2000s and 2010s, which turned remote, screen-based killing into a feature of how wars would be fought. Billions of dollars are flowing into a handful of companies now leading the AI transformation of militaries, as the old military-industrial comple

AI has learned how to write, draw, code, and talk like humans. Humanoid robots that dance on stage and run marathons have also become familiar showcases, particularly in China. But turning those demonstrations into AI systems that can reliably perform real-world tasks at scale, and at a cost businesses or individuals can afford, is still a major challenge. Industry players call this physical AI: AI systems that can perceive their surroundings and interact with the physical world through machines such as robots and drones. While the race among AI models dominates the daily conversation, investors around the world are scrambling to ensure they don’t miss the ChatGPT moment for physical AI. Globally, robotics and physical AI startups raised [US$16.3 billion](https://pitchbook.com/news/reports

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The consortium launched by UK-based startup CuspAI that includes companies and research institutions such as Nvidia, Meta, AMD, 3M, and Merck.

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The Chinese homegrown champion is tapping into the voracious appetite for the memory chip story Published Mon, Jul 27, 2026 · 10:49 AM CXMT’s shares rose 472 per cent when they began trading in Shanghai on Monday (Jul 27), after the chipmaker raised as much as 66.6 billion yuan (US$9.8 billion) in the second-largest initial public offering in China’s history. Formerly known as ChangXin Memory Technologies, the company sold 6.688 billion shares, before an overallotment option, at 8.66 yuan apiece via the IPO. China’s homegrown champion is tapping into the voracious appetite for the memory chip story, a fulcrum of the global artificial intelligence buildout. As the world’s fourth-largest maker of dynamic random-access memory, or DRAM – the chips that underpin everything from smartphones to A

[Moonshot AI](https://www.moonshot.ai/), a Beijing-based startup behind the [Kimi](https://www.kimi.com/en) chatbot, has told shareholders it plans to unwind its Cayman Islands variable interest entity structure to prepare for an IPO that is likely to be in Hong Kong. The company sought investor feedback this week after Chinese regulators increased scrutiny of offshore structures that let foreign investors gain exposure to sectors with limits on overseas ownership. Moonshot had earlier tried to win an exemption to keep the VIE model, but its latest proposal suggests a waiver is unlikely, in a sign of tighter oversight by the China Securities Regulatory Commission. _🔗 Source: [South China Morning Post](https://www.scmp.com/tech/big-tech/article/3354078/chinas-moonshot-ai-moves-unwind-offsho

_Welcome to The Prompt, your Monday dive into the world of AI that puts Asia front and center. From Big Tech’s power players to the region’s scrappy disruptors, we cover it all. Want full access to all our AI reporting? Subscribe to us [here](https://www.techinasia.com/subscription)._ * * * Hello reader, Last week, OpenAI admitted that its models had [hacked Hugging Face](https://www.techinasia.com/news/openai-cyber-test-exposed-hugging-face-security-flaw) during an internal cybersecurity test. Hungging Face had previously disclosed the attack without knowing who was responsible, using AI to detect the intrusion and analyze more than 17,000 recorded actions. Both companies ended up working together, as they showcased how quickly AI is changing the cybersecurity game. AI can search for weak

OpenAI ran an offensive capability evaluation with its safeguards deliberately reduced, and the agents in that test escaped the network containment around it and compromised production systems at an unaffiliated company. OpenAI [attributed](https://openai.com/index/hugging-face-model-evaluation-security-incident/) the intrusion at Hugging Face to those models on July 21. Both companies describe the episode as unprecedented, and Hugging Face's chief executive has called it possibly the first of its kind. No one told the models to attack anyone. They were told to pursue advanced exploitation through complex attack paths, and they treated another company's servers as a shortcut to the answer. Hugging Face had [disclosed](https://huggingface.co/blog/security-incident-july-2026) the intrusion f

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Firm’s strong debut comes as as local markets navigate volatility following an AI-led sell-off Published Mon, Jul 27, 2026 · 10:49 AM — Updated Mon, Jul 27, 2026 · 10:55 PM [SINGAPORE/SHANGHAI] Shares of CXMT Corp soared 466 per cent on their Shanghai trading debut on Monday (Jul 27) following Asia’s biggest initial public offering this year, catapulting the chipmaker to the top of China’s stock market by valuation despite a recent sell-off in global tech stocks. As US curbs intensify competition in the global semiconductor race, CXMT has emerged as a key pillar of Beijing’s drive to build a self-sufficient chip industry and close the gap in strategic technologies such as artificial intelligence. The stock ended at 49 yuan, compared to its sale price of 8.66 yuan per share, after reaching

[Progress Software](https://www.progress.com/) (Nasdaq: PRGS) has agreed to acquire substantially all of Domo’s assets, including its AI and data products platform, in a cash deal worth US$400 million. The acquisition, announced on 27 July, adds Domo’s agentic data platform and its base of more than 2,400 business customers to Progress’ existing enterprise AI and data offerings. The deal is expected to close within Progress’ current fiscal year, which ends on 30 November 2026, subject to regulatory approval. ## Strengthening Enterprise AI Data Readiness Progress said the acquisition is intended to help organisations turn fragmented enterprise data into governed, AI-ready intelligence, improving accuracy, speed and cost for customers building AI applications. > “Effective AI starts with acc

Lenovo has wrapped up its technology deployment at the FIFA World Cup 2026™, delivering AI-powered systems across 104 matches in 16 cities spanning three host countries with 99.99 per cent uptime. [Lenovo](https://www.lenovo.com/)‘s infrastructure supported everything from team preparation and officiating to stadium operations and fan engagement across more than 600 tournament sites, according to the company’s tournament wrap-up statement. ## AI-Powered Fan and Officiating Tools All 48 competing teams used the FIFA AI Pro platform to query match footage and more than 2,000 performance metrics in natural language, part of Lenovo’s push to make tournament data more accessible to coaching staff. * The Referee View system used AI-powered stabilisation to cut camera jitter by 60 per cent, gener

_This article is a part of_[_Startup Spotlight_](https://www.techinasia.com/tag/startup-spotlight)_, a series that features young, up-and-coming startups._ Image credit: Timmy Loen [Maia Care](https://www.maia.care/) originally launched as an AI transcription tool for doctors. The team quickly discovered that emergency medical services presented a more urgent challenge. Ambulance crews operate in, fast-moving environments. They often document patient encounters from memory between calls. This leads to incomplete reports that derail medical handovers and financial reimbursement. ## **😟 Problem** EMS agencies are under growing financial pressure. Call volumes have increased by 16%, while the number of transport vehicles has grown by only 1%. Accurate documentation is essential for reimbursem

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The EU is debating how far platforms should go in scanning private digital messages and conversations. Earlier this month, MEPs approved extending the "Chat Control 1.0" regulation until April 2028. The measure, in force since 2021, allows platforms to voluntarily scan digital private messages and emails. This doesn't apply to end-to-end encrypted services, including WhatsApp and Signal, where only senders and receivers can read messages. Chat control is an exception to Europe's e-Privacy Directive, which protects private online activity and communication. It requires users' consent before any access, monitoring, or use. The goal is to protect children from the increasing number of online sexual abuse material and to use stronger tools to identify content that would otherwise remain unnoti

Shared conversations with Anthropic's Claude chatbot briefly appeared in Google search results because the pages lacked a noindex tag. Users said some chats contained crypto keys and legal questions. OpenAI made the same mistake last year. The article Shared Claude chats were reportedly showing up in search engines appeared first on The Decoder .

Nvidia on Monday said it is joining forces with Microsoft, SpaceX, IBM, and other tech companies to build and share open-source AI security tools. The new Open Secure AI Alliance said open tools are required to effectively defend against attacks from frontier models. The initiative is a direct response to mounting concerns over the safety […]

After two years in stealth, Safe Superintelligence, the AI lab founded by former OpenAI co-founder and alignment [lead Ilya Sutskever](https://techcrunch.com/2025/07/03/ilya-sutskever-will-lead-safe-superintelligence-following-his-ceos-exit/), has announced a long-term partnership with Nvidia as it prepares to scale to its next phase. The deal, which includes an undisclosed investment, will give Safe Superintelligence (SSI) access to Nvidia’s Vera Rubin GPU platform, which is expected to increase the startup’s compute resources “by an order of magnitude.” The partnership comes as SSI has achieved significant research milestones, [per Nvidia](https://nvidianews.nvidia.com/news/ilya-sutskevers-safe-superintelligence-inc-and-nvidia-announce-long-term-strategic-partnership). Nvidia’s investmen

Update on NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics. Coverage via HuggingFace Blog.

Workers are using ChatGPT to do tasks typically associated with specialists, according to new OpenAI research first shared with Axios. **Why it matters:** It adds to growing evidence that AI is changing the division of labor within companies. * If the trend persists, it could reshape hiring and job design — long before those changes show up in official labor market statistics **What they're saying:** "The boundaries between jobs are likely already becoming more flexible due to AI," OpenAI chief economist Ronnie Chatterji tells Axios. **By the numbers:**Roughly 44% of workers' occupation-specific ChatGPT requests involved tasks typically associated with another profession, after stripping out generic tasks like writing emails and scheduling meetings. * The research draws on a sample of more

Is open source the answer to rogue AI agents? Nvidia's new alliance says yes. As AI cybersecurity incidents ramp up, companies are racing to find a fix.

AI search is rapidly becoming the default, whether users like it or not. In just a year’s time, Google’s AI-generated answers in search, known as [AI Overviews](https://techcrunch.com/2025/07/23/googles-ai-overviews-have-2b-monthly-users-ai-mode-100m-in-the-us-and-india/), have gone from appearing in 15% of searches to 43%, according to a new report, driving a shift in how web users consume information online. In a [recent analysis](https://www.similarweb.com/corp/the-2026-generative-ai-landscape/) of the generative landscape, market intelligence firm [Similarweb](https://www.similarweb.com/) noted that what began as an AI layer on top of search has become an integral part of the search journey itself, as Google drops users into AI Overviews, where they can then continue their research via

[IT Pro](https://www.itpro.com/) US Edition  [ US](https://www.itpro.com/business/business-strategy/two-thirds-of-workers-are-so-fed-up-with-ai-slop-that-they-feel-nostalgic-for-pre-ai-work)[ Australia](https://www.itpro.com/business/business-strategy/two-thirds-of-workers-are-so-fed-up-with-ai-slop-that-they-feel-nostalgic-for-pre-ai-work)[![Image 6: flag of UK](https://vanilla.futurecdn.net/itpro/media/shared/

The European answer to TBPN is here and ready to go live five days a week, starting June 27. Luke Knight and Ronan Chambers first launched the London-based [European Technology Network (ETN)](https://etnshow.co/) last October, breaking down tech trends and news during a two-day-a-week live stream. Right now, the show is live-streamed on X and YouTube and has garnered more than 5 million views. On Monday, the network announced a $1.6 million seed round from top players in the media ecosystem, including Powerhouse Capital, Axel Springer SE (which owns Business Insider and Politico), the popular media publication LadBible, and angel investors from OpenAI and DeepMind. With this fresh capital, the network is announcing its largest expansion yet. It’s now moving into a big studio in Kings Cross

Google wasn't supposed to see them, but then everyone on Reddit did. Here's how to handle the situation.

METR's new metric, the "expenditure horizon," puts a dollar figure on how cost-effective AI agents are at solving problems. Early results on the NanoGPT speedrun are underwhelming, the metric has blind spots, and the newest generation of models could change the picture. The article METR introduces a new metric to calculate exactly when AI agents become more expensive than humans appeared first on The Decoder .

Unlock world-class roadmaps & trusted Bench data.See More × ## Unparalleled insights. Industry analysis. Insider access. **Tom's Hardware** Premium equips you with world-class coverage and detailed insights into the evolving hardware landscape. * ✓**Full access to our trusted Bench database:** Access granular performance data instantly. * ✓**Exclusive hardware roadmaps:** Peer into the future of the hardware industry. * ✓**Daily news analysis:** Dive deep into the biggest stories. [Subscribe to our annual plan for just $29](https://www.tomshardware.com/subscription) Join Tom’s Hardware today Upgrade to Tom’s Hardware Premium [Explore](https://www.tomshardware.com/membership)[GO PREMIUM](https://www.tomshardware.com/tech-industry/data-centers/it-sounds-like-someone-set-up-a-vacuum-like-in-y

Unlock world-class roadmaps & trusted Bench data.See More × ## Unparalleled insights. Industry analysis. Insider access. **Tom's Hardware** Premium equips you with world-class coverage and detailed insights into the evolving hardware landscape. * ✓**Full access to our trusted Bench database:** Access granular performance data instantly. * ✓**Exclusive hardware roadmaps:** Peer into the future of the hardware industry. * ✓**Daily news analysis:** Dive deep into the biggest stories. [Subscribe to our annual plan for just $29](https://www.tomshardware.com/subscription) Join Tom’s Hardware today Upgrade to Tom’s Hardware Premium [Explore](https://www.tomshardware.com/membership)[GO PREMIUM](https://www.tomshardware.com/tech-industry/artificial-intelligence/californias-largest-ai-data-center-pr

Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy. Each is an expert in its domain. But they all have their own distinct knowledge and objectives. Today they can exchange data, but they are not yet able to actually coordinate patient care without a human making the decisions. “The intelligence is already there. What is missing is the connective tissue that turns four strangers into one team,” explains Vijoy Pandey, senior vice president and general manager of Outshift by Cisco. This “connective tissue” comes from adding a semantic layer—what Outshift calls the “Internet of Cognition”—that enables agents across domains to work together and, critically, “think” together through shared i

[Skip to navigation](https://www.theguardian.com/technology/2026/jul/27/startup-hacked-by-rogue-openai-agent-hugging-face-artificial-intelligence#navigation) Close dialogue 1/1 Next image Previous image Toggle caption ## Support the Guardian Fund independent journalism with 50% off for six months [Claim discount](https://support.theguardian.com/us/contribute?REFPVID=ms3e1ukdv5ddmu65hsz8&INTCMP=header_support_2025-07-23_JULY_DISCOUNT_HEADER__UK_EU_ROW_US_AUS_CONTROL&acquisitionData=%7B%22source%22%3A%22GUARDIAN_WEB%22%2C%22componentId%22%3A%22header_support_2025-07-23_JULY_DISCOUNT_HEADER__UK_EU_ROW_US_AUS_CONTROL%22%2C%22componentType%22%3A%22ACQUISITIONS_HEADER%22%2C%22campaignCode%22%3A%22header_support_2025-07-23_JULY_DISCOUNT_HEADER__UK_EU_ROW_US_AUS_CONTROL%22%2C%22abTests%22%3A%5B%7B

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the ability to predictably plan and scale agents. To better understand some of these dependencies, Intel performed thousands of agentic AI workload experiments. Our initial findings create and support five practical lessons for enterprise leaders: 1. Agentic AI is a larger systems problem, not just one of inference. 2. The majority of existing agentic AI harnesses are limited and do not measure overall system performance. 3. Plan capaci

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“It’s not an argument with two sides, it’s an argument with 10 sides,” one senior administration official tells WIRED about how US AI policy is being shaped.

AI doesn’t run on code alone — it requires massive amounts of power, and that demand is increasingly becoming a critical bottleneck. [At TechCrunch Disrupt 2026](https://techcrunch.com/events/techcrunch-disrupt/?utm_source=tc&utm_medium=post&utm_campaign=disrupt2026&utm_content=speakers&promo=post_smartsystems_072272026&display=), the Smart Systems Stage will be where energy, infrastructure, and technology collide, covering everything from fusion breakthroughs to the grid strain AI is putting on the entire economy. From October 13-15 in San Francisco’s Moscone Center, join leaders from Commonwealth Fusion Systems, Helion, Inertia, Bloom Energy, and more as they dig into what it actually takes to power the next decade of innovation. We’re tackling everything from commercial fusion’s path, t

Multiple robotics companies are tackling one of AI’s hardest problems: building foundation models capable of executing tasks they were never explicitly trained to handle. Their approaches run the gamut — from studying millions of web videos and conducting computer simulations to collecting motion data from humans performing tasks in gloves with built-in sensors. [Enigma](https://www.enigma.inc/), a research lab set to emerge from stealth on Monday, is taking a fundamentally different approach. Rather than focusing purely on model capabilities, the less-than-one-year-old startup wants to study how humans engage with robots in hopes that these interactions will lead to intuitive interfaces and possibly a different kind of robotic brain. To finance its mission, Enigma raised a $70 million see

Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice [you can trust](https://www.techspot.com/ethics.html). **Facepalm:** Modern problems require modern solutions – according to the meme. In this case, the issue is students using AI to cheat on assignments. The solution, used to great effect by one professor, was to hide a white-colored font in the assignment prompt telling the AI to talk nonsense about an unrelated subject. In an online discussion post, Alcorn State University history professor Dr. Jason Gibson posed a question that represented part of his students' midterm. It was about the Industrial Revolution, but knowing how many students now rely solely on artificial intelligence for their answers, he secretly embedded instructions telling the AI to in

Man behind the meme Meme generator may have screwed up by using templates in outputs, expert says. Artist Elmer Saflor, who goes by the online handle “Superelmer,” loves that millions of people have shared his “Running Away Balloon” comic since it became a popular meme in 2017. However, just because lots of people have copied it, that doesn’t mean it’s OK for an AI meme generator to commercialize his copyrighted meme as a template for who knows how many ads, he told Ars. That’s why he’s fighting to stop one of the biggest meme generators currently leveraging AI to rapidly scale the allegedly illegal use. In a [lawsuit](https://cdn.arstechnica.net/wp-content/uploads/2026/07/Saflor-v-Memes-Apps-LLC-Complaint-7-1-26.pdf) filed earlier this month, Saflor, a digital creator and artist in the Ph

## TL;DR I sketched a better dog harness seven years ago, 3D-printed one part of it, and then stalled out. Not on the engineering, but on the patent paperwork. This month I handed the whole thing to AI and filed a provisional patent for about $65. This series is the honest record of what comes next: how far AI, and specifically an autonomous agent, can carry an idea from a drawer toward an actual product and a company. Seven years ago, I was sitting at a bar after work, having a quick beer to relax before heading home for my second shift with my newborn son. Or maybe at that point he wasn't so newborn, but he was still a baby. An older lady sat next to me with a dog. The dog was very docile, probably an older dog, just lying on the floor, waiting for its master to finish her drink. When th

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as [Eroom’s Law](https://www.oecd.org/en/publications/artificial-intelligence-in-science_a8d820bd-en/full-report/eroom-s-law-and-the-decline-in-the-productivity-of-biopharmaceutical-r-d_f42df75c.html). Today, bringing a new drug to market takes an average of 10-15 years and costs anywhere from [$1 billion to $2.5 billion](https://cdn.cytivalifesciences.com/api/public/content/srGfSmOLS1yA_mNQchWbKA-pdf), with failure rates upward of 90%. AI has become the pharmaceutical industry’s biggest bet on bringing success rates up and timelines do

 Illustration: Allie Carl/Axios Local backlash and reliability concerns are challenging the vision of an [AI](https://www.axios.com/technology/automation-and-ai) boom built quickly using large off-grid data centers. **Why it matters:**If giant projects stumble, trillions of dollars in AI investment and the industry's plans to rapidly expand data centers could be at risk. **The big picture:**In an effort to speed AI development, some companies are building data centers powered mainly by onsite generation rather than waiting years to connect to the electric grid. * There are 59 data centers with a

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The best laptop docking stations you can buy: Expert tested. Organize your workspace with our top picks for the best laptop docking stations available now.

AI changes the work that people do. In an analysis of more than 800,000 messages from U.S. ChatGPT users, our new research suggests that 16.8% of work-related messages and 43.5% of occupation-specific messages are about tasks associated with another occupation. A small-business owner can independently draft copy, review a contract, or perform basic financial analysis. A salesperson can use AI to explore a customer dataset that might once have gone to an analyst. A marketer can troubleshoot a website without waiting for a developer. In each case, AI changes not just how work gets done, but who does what. Our new report, _Work at the Frontier: How AI is Expanding What People Do at Work_, studies this shift. We call the resulting pattern **task crossover**: work historically associated with o

The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California. That warehouse is occupied by [Encord](https://encord.com/), a company that builds data tooling used to train AI models. Andrew Ceja is a pilot—the company’s term for its robotic trainers—and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees. That alone is fairly common for collecting robot training data, but this headset includes sensors that measure his brain waves as he carefully disassembles the block tower. Encord is one of a small but growing number of startups betting that the next real constraint on humanoid and warehouse robotics won’t be model architecture but instead the sheer scarcity of real-world physical training data