AI News Archive: June 24, 2026 — Part 4
Sourced from 500+ daily AI sources, scored by relevance.
- Q2 2026 AI Kills the RCM Star: PE Should Be Wary of RCM Deals as Agentic AI Guts Take Rates
Q2 2026 AI Kills the RCM Star: PE Should Be Wary of RCM Deals as Agentic AI Guts Take Rates PitchBook
- DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA Blackwell
DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA Blackwell MarkTechPost
- Sorrell: AI’s revolution for WPP, Google and Meta is here
For more than three decades, Martin Sorrell built WPP into the world’s largest advertising holding company by mastering the economics of the big creative campaign. Today, from the helm of his newer, nimbler venture S4 Capital, he is delivering a stark verdict: that blueprint is obsolete. Over the course of a wide-ranging conversation about AI, Sorrell, one of the industry’s most closely watched figures, sketches out a future in which the billable hour vanishes, creative headcounts shrink and...
- India’s data centres shift cooling strategy amid water crisis
Innovation takes centre stage, from seawater cooling to closed loops, firms cut freshwater use while scaling digital infrastructure
- 'I have become greedier': SoftBank's Masayoshi Son bins AI bubble, says he will chase superintelligence into his 70s
The AI investment boom has driven up valuations even as investors question the sustainability of the rally, with SoftBank's share price boosted by Son's all-in bet on OpenAI.
- Meta forced thousands of engineers into AI training work. Now it's giving some a way out.
Meta forced thousands of engineers into AI training work. Now it's giving some a way out. Business Insider
Score: 68🌐 MovesJun 24, 2026https://www.businessinsider.com/meta-lets-engineers-leave-ai-training-unit-after-mass-reassignment-2026-6 - Are ChatGPT and other AI chatbots politically biased? We tested them.
Are ChatGPT and other AI chatbots politically biased? We tested them. The Washington Post
- Fintech Hiring Spikes in HY1 Driven by AI, Digital Payments, and Embedded Finance: TeamLease
As per the latest TeamLease Employment Outlook Report, the fintech sector continues to witness healthy hiring activity, with Net Employment Change (NEC) at 4.6% in HY1 FY 2026–27. While 66% of employers expect to increase hiring, 18% foresee no change, and 16% anticipate reductions, indicating steady workforce expansion as fintech players focus on scale, compliance, […] The post Fintech Hiring Spikes in HY1 Driven by AI, Digital Payments, and Embedded Finance: TeamLease appeared first on CXOToday.com .
- Nvidia's Huang calls black market data centers made of smuggled parts a 'dead end'
Washington regulators and the Trump administration are increasingly wary of China getting ahold of advanced AI software and hardware.
Score: 68🌐 MovesJun 24, 2026https://www.cnbc.com/2026/06/24/nvidia-huang-data-center-smuggled-chips.html - Qualcomm in talks to provide custom chip-design services to ByteDance, sources say
Qualcomm in talks to provide custom chip-design services to ByteDance, sources say Reuters
- I Met With China’s Top AI Experts. They’re Freaking Out, Too
The AI arms race between China and the US has researchers on both sides worried about a “Chernobyl moment.”
- Tech entrepreneurs seeking the next AI frontier are pivoting from chatbots to ‘world models’
Tech entrepreneurs seeking the next AI frontier are pivoting from chatbots to ‘world models’ AP News
Score: 67🌐 MovesJun 24, 2026https://apnews.com/article/ai-world-models-physical-embodied-ai-9bab5a3febad9832f55f8ada33de57b4 - CTO Confidence in Scaling AI Falls for Third Straight Year, Akkodis Report Finds
CTO Confidence in Scaling AI Falls for Third Straight Year, Akkodis Report Finds USA Today
- China's 360 Security says it built an AI vulnerability-finder to rival Claude Mythos
The Chinese cybersecurity firm says its Tulongfeng system found more than 3,400 software vulnerabilities, matching what Mythos can do
Score: 66🌐 MovesJun 24, 2026https://qz.com/china-360-security-ai-vulnerability-tool-anthropic-mythos-062426 - Patients prefer healthcare providers' AI agents to public chatbots, with human oversight non‑negotiable, survey finds
Patients are open to using AI agents to help with tasks like scheduling and billing, but they overwhelmingly prefer AI tools that live inside their doctor’s secure portal, a new Salesforce survey found.
- Creating A Moore’s Law For AI Scaling
Scaling AI becomes the grand challenge of the Intelligence Era. The post Creating A Moore’s Law For AI Scaling appeared first on Semiconductor Engineering .
- Morgan Stanley's Vince Lumia: AI may let advisors triple their client loads
The head of client segments in Morgan Stanley's wealth division acknowledges AI could one day be the primary source of financial advice for mass affluent clients. Morgan Stanley advisors working with wealthier investors will have to up their games.
Score: 66🌐 MovesJun 24, 2026https://www.americanbanker.com/news/morgan-stanleys-vince-lumia-ai-may-let-advisors-triple-their-client-loads - Japan’s manufacturing sector and the race for physical AI
Japan’s manufacturing sector and the race for physical AI The Japan Times
Score: 65🌐 MovesJun 24, 2026https://www.japantimes.co.jp/commentary/2026/06/24/japan/japan-ai-manufacturing-sector/ - Why big AI labs are hiring so many philosophers
The technology presents all sorts of thorny problems—a philosopher’s favourite kind
Score: 65🌐 MovesJun 24, 2026https://www.economist.com/science-and-technology/2026/06/24/why-big-ai-labs-are-hiring-so-many-philosophers - Singapore Probes the Future of AI in Corporate Leadership
Singapore enterprises are being told to take greater responsibility for their decision-making. At the same time, boards around the world are increasingly considering whether AI should help make those decisions. The post Singapore Probes the Future of AI in Corporate Leadership appeared first on TechRepublic .
Score: 65🌐 MovesJun 24, 2026https://www.techrepublic.com/article/future-of-ai-in-corporate-singapore-apac/ - Instruqt Becomes the First and Only Platform to Pair AI-Assisted Content Creation with Native Vertex AI, Amazon Bedrock, and GPU Environments
Instruqt Becomes the First and Only Platform to Pair AI-Assisted Content Creation with Native Vertex AI, Amazon Bedrock, and GPU Environments Toronto Star
- 91% of UAE e-commerce firms already use AI, report finds
91% of UAE e-commerce firms already use AI, report finds
Score: 65🌐 MovesJun 24, 2026https://www.khaleejtimes.com/business/91-of-uae-e-commerce-firms-already-use-ai-report-finds - From living rooms to server rooms: This home appliances brand is bringing physical AI to the region’s data centres
From living rooms to server rooms: This home appliances brand is bringing physical AI to the region’s data centres The Straits Times
Score: 65🌐 MovesJun 24, 2026https://www.straitstimes.com/business/lg-this-home-appliances-brand-is-bringing-physical-ai-to-data-centres?ref - Public-Private Partnerships Will Define Innovation in the AI Era
Public-Private Partnerships Will Define Innovation in the AI Era Time Magazine
Score: 65🌐 MovesJun 24, 2026https://time.com/article/2026/06/24/public-private-partnerships-will-define-innovation-in-the-ai-era/ - The code writes itself. Now what? The bottleneck isn’t your engineers anymore
By Raghav Bansal, Management Consultant, Avalon Consulting Imagine handing a rough napkin sketch to a team of engineers and getting a fully built, tested, and documented feature back — not […] The post The code writes itself. Now what? The bottleneck isn’t your engineers anymore appeared first on Express Computer .
- Why India’s AI Boom is Making ‘Human Skills’ the Ultimate Workplace Currency
As Indian companies accelerate AI adoption and focus on technical upskilling, new research from International Workplace Group (IWG), the world’s leading platform for work, suggests that the next workforce challenge is building the human capabilities needed to use AI creatively and collaboratively. According to IWG’s survey, the vast majority (90%) of HR leaders believe that […] The post Why India’s AI Boom is Making ‘Human Skills’ the Ultimate Workplace Currency appeared first on CXOToday.com .
- Mistral's newest model shows size matters
"A model small enough to self-host in a single container matters more than any benchmark."
Score: 65🤖 ModelsJun 24, 2026https://www.thestack.technology/mistrals-newest-model-shows-size-matters/ - AI in CPG and Retail: How Winners Are Pulling Ahead
AI in CPG and Retail: How Winners Are Pulling Ahead Boston Consulting Group
Score: 65🌐 MovesJun 24, 2026https://www.bcg.com/publications/2026/how-cpg-retail-leaders-maximize-ai-roi - Why human roles matter for Asia's AI transformation
Discover why human roles are vital to Asia’s AI transformation. Explore a new Forum framework for turning AI adoption into system-wide value.
Score: 65🌐 MovesJun 24, 2026https://www.weforum.org/stories/2026/06/why-human-roles-matter-asia-ai-transformation/ - Microsoft’s New AI in Education Report highlights widespread adoption and increasing demand for support
The post Microsoft’s New AI in Education Report highlights widespread adoption and increasing demand for support appeared first on Source .
- Gradium Launches stt-translate and s2s-translate, Real-Time Speech Translation Models Beating gpt-realtime-translate on Accuracy and Latency
Gradium Launches stt-translate and s2s-translate, Real-Time Speech Translation Models Beating gpt-realtime-translate on Accuracy and Latency MarkTechPost
- Tsinghua Ecosystem Sets Its Sights on World Models as the Next AI Frontier
Zhipu AI, Shengshu Tech, Momenta and other Tsinghua-affiliated companies pursue world models across video, robotics and autonomous driving
Score: 65🌐 MovesJun 24, 2026https://pandaily.com/tsinghua-ecosystem-world-models-ai-frontier-jun2026 - Alibaba cuts Qwen AI model costs on Qoder coding platform to capture US workday demand
Alibaba Group Holding has slashed prices for its flagship Qwen AI models by up to 80 per cent on its Qoder agentic coding platform, offering an aggressive discount to hook global developers to compete with US and Chinese rivals like Anthropic and Zhipu AI. The e-commerce and cloud giant said on X on Tuesday that it was cutting the price of its flagship Qwen3.7-Max model by 80 per cent and its smaller Qwen3.7-Plus model by 60 per cent for international users from 10pm to 8am Beijing time. The...
- Meta Glasses Launched With Muse Spark AI, 12-Megapixel Camera: Price, Specifications
Meta Platforms announced new AI-powered smart glasses in partnership with eyewear giant EssilorLuxottica. Simply dubbed Meta Glasses, they build upon the company’s existing Ray-Ban Meta and Oakley Meta wearable lineup and bring refreshed designs. Meta has introduced three frame styles, including a special Kylie Jenner edition. The Meta Glasses are powered by the com...
- CISF wants facial recognition cameras at airports linked to NATGRID
The proposed data fusion centre in Delhi would bring facial recognition data from 1.5 lakh CCTVs from airports, metros, ports, power plants, and govt. buildings under CISF when they are linked to NATGRID. The post CISF wants facial recognition cameras at airports linked to NATGRID appeared first on MEDIANAMA .
Score: 65🌐 MovesJun 24, 2026https://www.medianama.com/2026/06/223-cisf-facial-recognition-cameras-airports-natgrid/ - 'We're entering a whole new age - the age of intelligence': Samsara CEO Sanjit Biswas lays out why the future of operations is AI
Samsara looks to enable the AI age for the operations industry with a host of new tools.
- AI helps read papyrus scroll burnt to crisp during Vesuvius eruption
Previously hidden text revealed without unrolling scroll discusses stoic philosophy on ethics, art and human behaviour The surviving part of an ancient scroll that was burnt to a crisp when Mount Vesuvius erupted nearly 2,000 years ago has been virtually unwrapped and read with help from artificial intelligence. Researchers uncovered 20 columns of previously hidden text covering more than a metre of charred papyrus without physically unrolling the scroll. The work discusses stoic philosophy on ethics, art and human behaviour and dates to the second or late-third century BC. Continue reading...
Score: 65🌐 MovesJun 24, 2026https://www.theguardian.com/technology/2026/jun/24/ai-read-papyrus-scroll-burnt-vesuvius-eruption - The 300-Plus Bans and Moratoriums Threatening the U.S. Data Center Boom
The 300-Plus Bans and Moratoriums Threatening the U.S. Data Center Boom The Information
Score: 65🌐 MovesJun 24, 2026https://www.theinformation.com/articles/300-plus-bans-moratoriums-threatening-u-s-data-center-boom - The AI Coding Craze Gave GitHub Its Best Month Ever
The AI Coding Craze Gave GitHub Its Best Month Ever Business Insider
Score: 65🌐 MovesJun 24, 2026https://www.businessinsider.com/github-best-month-ever-internal-meeting-2026-6 - Thinking to recall: How reasoning unlocks parametric knowledge in LLMs
Generative AI
Score: 65🌐 MovesJun 24, 2026https://research.google/blog/thinking-to-recall-how-reasoning-unlocks-parametric-knowledge-in-llms/ - HPE Updates Hardware, Private Cloud And Networking For Agentic AI Era
HPE Discover 2026 makes the case for private and sovereign AI — why hybrid infrastructure, not public cloud alone, is the future for regulated industries and governments.
- Your Home Could Help Solve AI’s Growing Power Demand
Tesla, Sunrun and Renew Home plan to tap solar panels, batteries, thermostats and other devices installed in millions of homes to meet the energy demands of artificial intelligence.
Score: 65🌐 MovesJun 24, 2026https://www.nytimes.com/2026/06/24/business/energy-environment/ai-data-centers-tesla.html - Taiwan's ASE says it is expanding capacity to support AI demand
Taiwan's ASE says it is expanding capacity to support AI demand Reuters
- AI researchers continue to leave Google for its rivals
Top AI researchers Jonas Adler and Alexander Pritzel are leaving Google for Anthropic, following departures from top scientists Noam Shazeer and John Jumper.
Score: 65🌐 MovesJun 24, 2026https://techcrunch.com/2026/06/24/ai-researchers-continue-to-leave-google-for-its-rivals/ - Can we trust scientific images in the era of AI?
A photograph of Earth glowing in deep space, the moon’s cratered horizon stretching across its foreground, caught many people’s eyes in April 2026. Astronauts captured the image while aboard NASA’s Artemis II mission, and like the famous Apollo 8 “Earthrise” image , the picture felt instantly real and inspiring for many. But when almost anyone can fabricate a visually similar image in seconds from a text prompt using artificial intelligence , how do people decide which image is real? The proliferation of AI-generated science images in public spaces is not simply a misinformation problem. As a researcher who studies visual science communication and public trust , I believe it also contributes to a crisis of trust in science in the age of AI , and the tools scientists have long relied on to establish visual credibility are losing their grip. AI-generated images infiltrate science AI tools are already changing how scientific visuals are created, shared, and publicized . Researchers use them to generate illustrations , create synthetic data , edit lab images , and produce materials for education and public outreach . While AI can help scientists communicate complicated ideas more creatively and efficiently , these same tools blur the lines between illustration, enhancement, and fabrication. In 2024, two papers were retracted after publishing AI-generated figures posessing biologically impossible structures . In April 2026, the New England Journal of Medicine retracted a paper after discovering that a clinical image had been manipulated with AI . These are just cases that came to mass public attention and are likely just the tip of the iceberg. Researchers have warned that AI-generated visuals pose growing threats in fields that depend heavily on visual evidence, such as materials science. Academic publishers are beginning to adopt AI-detection tools . However, systems designed to detect fake images will almost always lag behind systems designed to create them. Many detectors can identify only image patterns they were trained to recognize. As new AI models emerge, developers must constantly obtain new data and retrain detectors to catch up. The biggest concern is realistic-looking visuals that subtly distort scientific details while remaining believable enough to pass initial review. Trust in scientific images For decades, scientific images carried authority partly because they were difficult to produce . Creating microscope images, climate graphs, and space photographs required expensive equipment, institutional resources, and specialized expertise. Most people assumed such images represented true observations because very few people could make them. Research in science communication, including my own, suggests that people judge scientific visuals using a few mental shortcuts. Does the image look technically sophisticated ? Does it come from a trusted institution ? Does it match what I already believe ? Generative AI is undermining all three of these heuristics, or mental shortcuts. Today, anyone can create a polished, scientific-looking image from a text prompt. Images are also detached from their original source when circulating online. When visual quality and institutional attribution become unreliable cues for judging the credibility of science images, people tend to fall back on something else: their own prior beliefs . As a result, authentic scientific images that challenge someone’s existing beliefs can now be dismissed as AI-generated, whereas fabricated images that confirm them are easily accepted as evidence. AI, in this way, may amplify motivated reasoning —that is, people’s tendency to accept what they already agree with and question what they do not. This shift matters because visuals have long served as evidence for scientific claims . Nonexpert audiences rely on images not only to see what scientists have discovered but also to develop an emotional connection and perceive credibility in the science being presented. If audiences stop trusting visual evidence altogether, science loses one of its most powerful tools for public communication. Transparency, not restriction AI tools offer real benefits for researchers communicating their work to diverse audiences. The challenge is using these tools without quietly transferring AI’s credibility deficit onto the science the images are meant to convey. One practical path forward is for researchers to treat image provenance —where an image came from and how it was created—with the same seriousness they already apply to data provenance. Scientists routinely disclose funding resources, study methodologies, and conflicts of interest. Similar standards may now be necessary for scientific images. Was AI used to generate or modify this image? Is it a direct observation, a simulation, or an illustration? What exactly does the image represent, and how was it verified? Can it be replicated by other researchers? A particularly inaccurate scientific image of a rat that was published in a journal went viral. My colleagues and I found that people’s familiarity with AI significantly shapes how they judge the credibility of AI-generated visuals. Those familiar with AI tools were more likely to view AI disclosure as a sign of transparency, and some rated clearly labeled AI-generated content as more credible than unlabeled content. Transparency gives audiences the necessary context to evaluate what they are seeing, but it may not resolve every dispute about how images are made. Responsible use of AI-generated scientific images will require honesty, adherence to professional norms, and the collective development of evidence-based standards across fields. Why authentic images remain powerful The original Apollo 8 “Earthrise” photograph of 1968 carries significant emotional impact . So do the Artemis II images of 2026. What makes them meaningful is not simply their beauty. It is their traceable connection to scientific reality. When people look at these photographs of planets, they also know there are astronauts, physical cameras, documented missions, and verifiable observations behind the images. In this sense, authenticity is a documented relationship between an image and the world. In the age of generative AI, scientific institutions can no longer assume audiences will automatically trust their visuals. Trust now depends on transparency, documentation, and clear communication about how visual evidence is produced. Without guidelines and standards, science risks entering a world where every image can be questioned and no image carries inherent credibility. Nan Li is an associate professor of science communication at the University of Wisconsin-Madison . This article is republished from The Conversation under a Creative Commons license. Read the original article .
- Database vendors pitch themselves as the cure for runaway AI costs
Pinecone and Tiger Data say smarter data plumbing can cut token use and tame agentic workloads
- Beyond Now expands Wave AI Framework with Microsoft to help CSPs turn AI agents into monetizable services
Beyond Now expands Wave AI Framework with Microsoft to help CSPs turn AI agents into monetizable services USA Today
- Figma adds code layers, support for animations, more AI features in new update
Figma's update adds a new code layer, support for motion and shaders, and the ability to create custom plug-ins for various tasks using AI.
Score: 63🌐 MovesJun 24, 2026https://techcrunch.com/2026/06/24/figma-adds-code-layers-support-for-animations-more-ai-features-in-new-update/ - Modulate launches AI music detection as synthetic tracks flood streaming
Voice artificial intelligence company Modulate Inc. today launched a tool that flags AI-generated music straight from the audio. The product, an application programming interface called AI Music Detection, scores how likely a clip is to contain AI vocals or AI instrumentals and gives a verdict on the whole file. Streaming services, distributors and rights holders […] The post Modulate launches AI music detection as synthetic tracks flood streaming appeared first on SiliconANGLE .
Score: 63🌐 MovesJun 24, 2026https://siliconangle.com/2026/06/24/modulate-launches-ai-music-detection-synthetic-tracks-flood-streaming/ - Tata Elxsi's AI platform helps Sky cut network costs by up to 70%
Tata Elxsi's AI platform helps Sky cut network costs by up to 70% Techcircle
Score: 63🌐 MovesJun 24, 2026https://www.techcircle.in/2026/06/24/tata-elxsi-s-ai-platform-helps-sky-cut-network-costs-by-up-to-70