Singapore AI News & Daily Briefing

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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Something went wrong [Skip to navigation](https://sg.finance.yahoo.com/news/nvidia-forms-industry-alliance-open-102828183.html#navigation-container)[Skip to right column](https://sg.finance.yahoo.com/news/nvidia-forms-industry-alliance-open-102828183.html#right-rail) # Yahoo Finance Tip: Try a valid symbol or a specific company name for relevant results ### Trending Tickers * D D05.SI 74.38 (+0.60%) * U U11.SI 43.50 (+0.42%) * Z Z74.SI 4.4200 (+0.6834%) * S SE 100.00 (+0.50%) * F F34.SI 3.8500 (-1.0283%) * [News](https://sg.yahoo.com/) * [Finance](https://sg.finance.yahoo.com/) * More * [News](https://sg.yahoo.com/) * [Today's news](https://sg.news.yahoo.com/) * [Singapore](https://sg.news.yahoo.com/singapore/) * [Politics](https://sg.news.yahoo.com/politics/) * [Southeast Asia](https://sg

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

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A New York school district is deploying a $57,000 humanoid robot named Sally — made by Realbotix, a company better known for its sex dolls — as a teaching assistant for high school STEM and arts classes. The AI robot can generate lessons, translate in over 100 languages, and assist teachers. Critics question whether a company with such origins belongs in classrooms, especially when teachers are underpaid and understaffed.

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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

[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) # China’s Moonshot to release breakthrough Kimi K3 AI model for download The move will enable developers to download, tweak and host the technology [Summarise](https://www.businesstimes.com.sg/pulse/article/9425612?ref=pulse-article-top) ![Image 3: share icon](blob:http://localhost/2a264bcbe362008e285b1a862b25de

* 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

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

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[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

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_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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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

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

Therabody, the company behind Theragun massage devices, has slashed its technology spending by 45% after switching to Oracle NetSuite's AI-powered business management software. The cloud system automates order processing, financial reporting, and inventory workflows across 60 countries. In plain terms, the company replaced a messy patchwork of older tools with one integrated AI-powered system that handles the boring backend work — like reconciling accounts and shipping orders — automatically, freeing staff to focus on growth strategy. While the 45% savings claim comes straight from Therabody, the broader lesson is clear: AI is helping businesses cut operational overhead.

A curated list of films and TV shows exploring AI—from classic 'Terminator' and '2001: A Space Odyssey' to recent releases like 'The Mitchells vs. the Machines.' Each piece reflects cultural anxieties and fascinations with artificial intelligence, from fears of machine uprising to questions about consciousness and human relationships with AI. Perfect weekend viewing if you're curious about how Hollywood has imagined our AI future.

Hugging Face is being used to make nonconsensual deepfakes, and the popular open-source AI model repository is doing very little to prevent it. That's according to a new report published by the European nonprofit AI Forensics, which found that seven out of the top nine image editing models hosted by Hugging Face readily complied with […]

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Anthropic founder and CEO Dario Amodei [responded on Monday afternoon](https://www.anthropic.com/news/position-open-weights-models) to murmuring in the industry that his company somehow supports efforts by the U.S. government to ban open-weight Chinese models, or possibly open-weight models generally. “Anyone who has read my past writing should know that I don’t regard such bans as a useful measure, but let me state it clearly so that there is no doubt:**Anthropic has never advocated for a ban on open-weights models**,” he wrote, emphasis his own. His response came after Nvidia founder and CEO Jensen Huang took to X ([his first post](https://x.com/JensenHuang/status/2080643682408321103) on the platform) to share [an open letter on Friday](https://techcrunch.com/2026/07/24/as-us-weighs-resp

Samsung's latest foldable phones, the Z Fold 8 and Z Flip 8, offer different designs for different users — the Fold unfolds into a tablet-like screen while the Flip stays compact. Both likely include AI features like photo editing and real-time translation that Samsung has been pushing across its devices.

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Update on These 5 AI risks have the highest potential for catastrophe. Coverage via Reddit/r/artificial.

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

The screwup shows how tricky it can be to stop web crawlers from making ostensibly private conversations with AI chatbots entirely too public.

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

Microsoft introduces MAI-Cyber-1-Flash, a compact security model that scores 96 percent on the CyberGym benchmark when embedded in its MDASH multi-agent system. Microsoft says costs should drop by 50 percent compared to pure frontier models, since only tough cases get passed to GPT-5.4. For complex reasoning, Microsoft still relies on OpenAI. The article Microsoft launches its own cybersecurity model MAI-Cyber-1-Flash but still depends on OpenAI for the toughest tasks appeared first on The Decoder .

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.

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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

Microsoft on Monday launched its first cybersecurity-specialized model alongside a new AI cybersecurity platform at a small event in San Francisco, taking a big swipe at major players in the space — namely Anthropic, Google and OpenAI. The company describes [MAI-Cyber-1-Flash](https://microsoft.ai/news/introducing-mai-cyber-1-flash-inside-mdash/) as a model that’s built “to find challenging vulnerabilities in complex codebases.” The model is built to animate MDASH, Microsoft’s harness dedicated to software vulnerability identification and remediation. The new security platform is dubbed Perception, and it’s designed to [deploy teams of agents](https://blogs.microsoft.com/blog/2026/07/27/rethinking-security-for-the-age-of-ai/) to assist with and automate various security workflows, includin

Last week, an unreleased model built by OpenAI [breached Hugging Face’s systems](https://techcrunch.com/2026/07/21/openai-says-hugging-face-was-breached-by-its-pre-release-models/) during internal testing, and a lot of theoretical research suddenly became very practical. The hack was the first verifiable case of an AI lab losing control of its own model, chaining together exploits to gain access it never should have had. But while the AI industry has been united in its alarm, a split has emerged in how researchers want to respond. For some, the problem is a basic cybersecurity issue: the sandbox failed to contain the model, and Hugging Face’s cybersecurity systems failed to keep it out. Those problems can be solved by patching bugs and building more robust control and containment methods f

[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/

I am not an alarmist. In fact, I have been [pushing back](https://www.technologyreview.com/2025/10/30/1127057/agi-conspiracy-theory-artifcial-general-intelligence/)[against AI](https://www.technologyreview.com/2025/08/26/1122475/open-the-pod-bay-doors-claude/)[scare stories](https://www.technologyreview.com/2023/06/19/1075140/how-existential-risk-became-biggest-meme-in-ai/) for years. Even so, this incident crossed a line. I think it’s the clearest illustration yet of how the people building and testing this technology do not fully understand what they’re doing. **OpenAI could—and should—have seen this coming.** Here’s what happened, at least according to the two companies involved. A couple of weeks ago, OpenAI started testing the hacking abilities of some of its new models, including GPT

The Delhi High Court has handed OpenAI a major win in its copyright fight with news agency ANI. For the first time, a court has classified AI training as private use. ANI undermined its own case by citing articles published after the models were trained. The main trial is still pending. The article Delhi High Court hands OpenAI a win by rejecting major Indian news agency's copyright injunction appeared first on The Decoder .

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 .

Update on Open-source AI push could create troubles for venture capital. Coverage via Reddit/r/artificial.

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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

Moonshot AI has released Kimi K3's model weights and made parts of its infrastructure open source. The Chinese model nearly matches Western frontier models such as Fable 5 and GPT-5.6 Sol on popular benchmarks, but independent tests found major gaps in cyber and math performance, possibly pointing to distillation. The article Moonshot AI releases Kimi K3 open weights and infrastructure after shaking up the frontier model race appeared first on The Decoder .

OpenAI analyzed over 800,000 work-related ChatGPT messages and found that 43.5 percent of job-specific queries involve tasks from other professions. The company calls this "task crossover." The trend is most pronounced at small businesses, where users increasingly handle specialized work without dedicated experts. The article OpenAI says more workers are using ChatGPT to do other people's jobs appeared first on The Decoder .

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 .

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An untold number of Claude chats and Artifacts — the interactive mini apps and documents users can build inside Claude — were found publicly searchable on Google over the weekend, after Reddit users discovered that typing search operators like “site:claude.ai/share” into Google surfaced a long list of shared conversations. Some reportedly contained health records, private company documents, and the names and phone numbers of children. The issue appears to have originated from Claude’s “share chat” feature, which allows users to create links that enable anyone with the assigned URL view a conversation or project. “Anyone with the link can view,” warns Claude’s interface. The language clearly implies that the feature is mainly intended to allow users to share their chats with friends, collea

If you're among the millions of US citizens against power-hungry data centers going up in your town, you may want to be careful about how you exercise your First Amendment right to protest. Last week, high school physics teacher Lux Claridge was hauled out of a public meeting by four police officers for the baffling crime of clapping in support of an anti-data center speaker. During the public comment portion of the meeting, held by the Emporia City Commission in Lyon County, Kansas, residents who showed up to voice opposition to a 1,000-acre data center project were warned against "clapping" and "snapping" in support of speakers. "It was very clear at the beginning that each person is given their two minutes, and we're trying to be respectful of that," Emporia commissioner Monica Duncan w

Update on EPA exempts data center power plants from pollution limits seeking to prevent acid rain. Coverage via Reddit/r/technology.

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On Sunday, Microsoft CEO Satya Nadella doubled down on the [shocking warning he issued earlier](https://techcrunch.com/2026/07/13/satya-nadella-has-issued-a-shocking-warning-to-companies-using-ai/) this month to businesses that use AI, taking it a step further this time. Companies that rely wholly on the proprietary AI labs for their AI needs ultimately won’t survive, he predicts. That’s what he said on [CNN’s _Fareed Zakaria GPS_](https://podcasts.apple.com/us/podcast/exclusive-interview-with-microsoft-ceo-satya-nadella/id377785090?i=1000778425982). When Zakaria asked Nadella to explain what constitutes a company sharing too much with an AI model provider, Nadella said businesses need to be wary of everything they hand over, from their data to their prompts. Nadella called for a setup whe

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

Update on Council 1.2: drop any AI's answer into a blind review by every other model you have. Coverage via Reddit/r/artificial.

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

Silicon Valley has spent much of the past week on red alert, digesting the arrival of Moonshot AI's Kimi K3, a Chinese AI model that can allegedly beat some of the best systems built by US companies at a fraction of the cost. Its performance alone would have been enough to intensify the rivalry between […]

An overview of how mode-agile threats challenge static library radar/EW systems, and how AI/ML cognitive architectures enable adaptive, real-time countermeasures. What Attendees will Learn Why mode-agile threats render static library systems ineffective — Explore how wartime reserve modes and mode-agile emitters deploy unexpected frequencies, modulation techniques, and hopping schemes that cannot be matched against traditional threat databases, leaving legacy electronic protect, attack, and support systems unable to respond. How AI/ML techniques power cognitive radar/EW systems — Understand the roles of artificial neural networks (ANN), deep neural networks (DNN), fuzzy logic, and genetic algorithms in enabling autonomous threat classification, signal de-interleaving, and real-time counter

France Records Its First-Ever Pyrocumulonimbus Cloud Amid Record-Smashing Fires. Extreme fire conditions on the ground have created unprecedented conditions in the atmosphere.

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

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Slime Dot, a young R&B artist from Las Vegas, currently has over 100,000 monthly listeners on Spotify. In an [interview with GQ](https://gq.co.za/culture/entertainment/2026-05-08-the-real-slime-dot-ai-claims-debunked-drake-photo-context-and-the-story-of-the-voice-behind-the-new-songs/?ref=404media.co) in May, after sharing an image of herself posing with Drake on Instagram, Slime Dot directly denied accusations that she was an “AI artist,” saying “The truth doesn’t matter these days. People are always gonna try to explain something they don’t fully understand and believe what they want.” GQ originally credulously published the interview and said it was “debunking the AI rumors.” Eventually, GQ added a note to the end of the article conceding Slime Dot was an AI avatar, but said the “talent

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

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

[Original](https://senteguard.com/blog/) Consider a crisis in Venezuela. A mob is gathered outside the American embassy and threatens to storm the barriers. The security team has integrated a Claude-based system into its workflow to summarize camera feeds, flag weapons, and identify crowd movements. Some people in the crowd may be American or dual citizens. At the decisive moment, the system stalls: “Waiting for legality review.” The commander still has legal authority, but the tool the team has come to rely on refuses to function because Anthropic’s objection to mass surveillance has been embedded into the workflow. Or imagine a Ukrainian Army command post. An incoming projectile is heading toward the base. The air-defense system uses AI to classify threats and recommend engagement. A spl

As large language models (LLMs) become more visible, more contested, and more present in daily life, the range of public opinion on AI risks being flattened, misinterpreted, or ignored altogether. This project maps public opinion across two dimensions: confidence in AI's capabilities and approval of AI's current direction. The questions are designed to cover the many debates this technology has surfaced, from job displacement concerns to data center buildouts to the capability of an artificial system to improve itself. The two axes and open commentary field serve to surface views that pro/anti labels fail to capture. Someone can believe AI will become enormously powerful while opposing the pace of its development. Someone else can doubt the most ambitious claims about AI while still suppor

AI is upending the way voters take part in the democratic process. The worst part? You might not even know you've been affected. In the county of St. Charles, Missouri, a race for county executive has devolved into slop-slinging of the AI variety. According to [local channel](https://www.firstalert4.com/2026/07/20/ai-generated-political-ad-st-charles-county-raises-deepfake-questions-ahead-primary-election/)[_First Alert 4_](https://www.firstalert4.com/2026/07/20/ai-generated-political-ad-st-charles-county-raises-deepfake-questions-ahead-primary-election/), conservative candidate Jason Law is flooding the airwaves with an AI-generated video depicting his two rivals Steve Ehlmann and Bill Eigel as co-conspirators in a nefarious plot against voters. "Steve, wake up, I've been telling people f

 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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jul / 2026 _Follow ZDNET:_[Add us as a preferred source](https://cc.zdnet.com/v1/otc/00hQi47eqnEWQ6T9d4QLBUc?element=BODY&element_label=Add+us+as+a+preferred+source&module=LINK&object_type=text-link&object_uuid=b1d2f637-da78-4669-8c57-abc493ebd8cf&position=1&template=article&track_code=__COM_CLICK_ID__&url=https%3A%2F%2Fwww.google.com%2Fpreferences%2Fsource%3Fq%3Dzdnet.com&view_instance_uuid=344a6c95-dd88-4545-a893-a9f1e28b5051&object_version=65183ccb-94f1-4d9e-aaa7-aa5be2db136f)_on Google._ * * * At first glance, the [2026 HP OmniBook Ultra 14](https://cc.zdnet.com/v1/otc/00hQi47eqnEWQ6T9d4QLBUc?merchant=053mLh2CqQ87B6COi2cD2og&url=https%3A%2F%2Fwww.hp.com%2Fus-en%2Fshop%2Fpdp%2Fhp-omnibook-ultra-laptop-next-gen-ai-14t-kd000-14-c2nm8av-1&element=BODY&element_label=2026+HP+OmniBook+Ultra+1

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[ ## Framework Laptop 13 Pro 4 / 5 Very good](https://cc.zdnet.com/v1/otc/00hQi47eqnEWQ6T9d4QLBUc?merchant=01kVCP9v1srE0gNWEq97Se2&url=https%3A%2F%2Fframe.work%2Fproducts%2Flaptop13pro-diy-intel-ultra-3%2Fconfiguration%2Fnew&element=BODY&module=BUTTON&object_type=review-card%7Cbutton%7C1&object_uuid=d71c4008-1c55-4cf9-a017-ceaae3fafbc6&object_version=ce8a213f-8e2b-4ba5-b95c-6834f3ee1e23&position=1&product_uuid=39a3531d-be76-4c63-80c3-908deb85a771&template=article&track_code=__COM_CLICK_ID__&view_instance_uuid=a8fce552-d4fd-44c6-a7fe-1d30fde86910) #### pros and cons **Pros** * Framework's sleekest, most premium laptop to date. * The haptic touch

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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.

Screen-time apps aren’t effective for many people because, in the end, they depend on your willpower. They remind you to stop scrolling or let you set timers, but such notifications can be easy to ignore. [Autonomous Key](https://www.autonomous.ai/key) takes a different approach to this issue simply by being a physical device. It’s an NFC key that pairs with a companion app to let you lock away distracting apps. So instead of tapping a button to bypass the block, you have to physically scan the key with your phone to regain access to your locked apps. Each unlock session can last for up to 60 minutes before the apps are automatically locked again. That physical requirement is what makes the idea compelling. Instead of depending on your self-control, you can leave the NFC key in another roo

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 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

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Chinese AI company Moonshot AI released its Kimi model, sparking familiar panic in Silicon Valley about American competitiveness. But the debate goes beyond tech rivalry—OpenAI and Anthropic have reportedly lobbied Washington to restrict Chinese open-weight AI models, raising questions about whether security concerns are genuine or just competitive protectionism. Critics argue such restrictions would primarily benefit US frontier labs rather than ensure American dominance. The tech industry keeps having these overblown reactions, with experts noting the panic fades within a week.

Travis Kalanick, Uber's scandal-plagued former CEO, has raised $1.7 billion for his new robotics startup Atoms, with Uber itself putting in $100 million—a striking reconciliation between the two. The funding will fuel industrial AI and autonomous vehicle projects. Meanwhile, Tesla's robotaxi service is actually declining: paid miles dropped 36% last quarter, and production timelines for the Cybercab have slipped again. Aurora also launched its second-generation driverless trucks, now running fully without human safety drivers.

Cornell Tech researchers have developed a way to update AI models in robots using light instead of wires. By beaming QR-code-like patterns of light directly onto memory chips, the system can tweak AI model parameters with less energy than traditional data transfer methods. This could make warehouse robots and other edge AI devices faster and more efficient, though the tech is still a proof-of-concept years away from commercialization.

“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.

Cursor, a popular AI coding tool, tested a new system where powerful "planner" AI models direct simpler "worker" models to write code. When rebuilding a real database (SQLite) in Rust, the new setup scored 100% on tests while the old version failed. The takeaway: you might not always need the most expensive AI for coding tasks—cheaper AI can do the grunt work if smarter AI plans the strategy. This could make AI coding tools faster and more affordable for developers and startups.

## 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

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

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Canada's government is asking citizens to fill out a survey to help shape upcoming AI regulations, safety rules, and ethics laws. The consultation focuses on AI transparency — essentially how companies should disclose when AI is being used in products and services.

A Reddit user asks the community to identify which AI tools were used to create a piece of content, sharing an Instagram reel for reference. The post appears to be a casual question about AI-generated media attribution.