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Medianama AI 2026-06-29 11:46 UTC Score 43.0 USR-0211-20260629-regional-new-ff8c5bc7 Full article

Explained: Why Google moved Gemini to token-based limits

Google’s Gemini limits show free AI access giving way to compute-metered tiers, as capacity shortages squeeze enterprises, reshape consumer plans, and raise questions over who controls AI infrastructure. The post Explained: Why Google moved Gemini to token-based limits appeared first on MEDIANAMA .

Middle East AI News 2026-06-29 11:38 UTC Score 31.0 AI-171-20260629-regional-ai--f86c4a2c Full article

Many UAE firms unprepared for AI risk

Despite widespread AI use, just a third train staff against AI data breaches

‘Queuing gangs’ exploited Hong Kong driving licence ticketing system: ombudsman
South China Morning Post AI 2026-06-29 11:30 UTC Score 54.0 AI-156-20260629-regional-ai--5e14e210 Full article

‘Queuing gangs’ exploited Hong Kong driving licence ticketing system: ombudsman

The Hong Kong government watchdog has slammed the Transport Department over systemic deficiencies that allowed “queuing gangs” to abuse public resources, along with digital shortcomings that left overseas and mainland Chinese applicants with a negative impression. An investigation by the Office of the Ombudsman, released on Monday, revealed that a group of seven agents exploited the ticketing system to submit 135 applications for the direct issue of Hong Kong full driving licences in a single...

Comcast is splitting in two
The Verge AI 2026-06-29 11:29 UTC Score 50.0 AI-016-20260629-global-ai-ne-74a9c33f Full article

Comcast is splitting in two

Comcast has announced plans to separate itself into two publicly traded companies, spinning off its NBCUniversal and Sky broadcasting arms. The shake up aims to protect the media conglomerate's profitable broadband and wireless brand, which will retain the "Comcast" company name, as its media and entertainment business - now collectively named "NBCUniversal" - faces increasing […]

What Hollywood director Renny Harlin gained from China’s film boom and why he embraces AI
South China Morning Post AI 2026-06-29 11:15 UTC Score 38.0 AI-156-20260629-regional-ai--eb9f07cc Full article

What Hollywood director Renny Harlin gained from China’s film boom and why he embraces AI

Renny Harlin is in tears. The Finnish director behind 1990s blockbusters such as Die Hard 2 and Cliffhanger is presenting his new thriller, Deep Water, at the fourth edition of the Mediterrane Film Festival in Malta on June 26. “What I think really prepared me for this movie was getting married and having kids,” he announces, suddenly overcome with emotion. His wife of five years, Johanna, who produced Deep Water with Harlin and with whom he shares three young children, is sitting close by. “I...

LessWrong AI 2026-06-29 11:10 UTC Score 55.0 USR-0152-20260629-community-fo-c44dfe96

Frank Ramsey on Induction: Why Validity Is the Wrong Standard

Frank Ramsey's treatment of induction starts from a general account of inference. He argues that premises and conclusion alone do not fully specify an inference. It also needs the rule by which the conclusion is drawn. This holds for deductive and inductive arguments alike, though the rule differs in kind between them. Deductive rules preserve truth. Inductive rules do not. Inductive rules are judged instead by how reliably they extend belief from observed cases to unobserved ones. This three-part account of inference sets the terms within which Ramsey's treatment of induction, probability and laws should be read. Quote from Ramsey: ‘ Logic as the science of argument and inference is traditionally and rightly divided into deductive and inductive; but the difference and relation between these two divisions of the subject can be conceived in extremely different ways .’ Deductive argument Quote from Ramsey: ‘ formal deduction does not increase our knowledge, but only brings out clearly what we already know in another form; and that we are bound to accept its validity on pain of being inconsistent with ourselves ’ Quote from Ramsey: ‘ deduction on the other hand is merely a method of arranging our knowledge and eliminating inconsistencies or contradictions. ’ Inductive argument Quote from Ramsey: ‘ it is impossible to represent it [inductive argument] as resembling a deductive argument and merely weaker in degree; it is absurd to say that the sense of the conclusion is partially…

Investor debt binge heightens stock volatility
Semafor Technology 2026-06-29 11:09 UTC Score 49.0 USR-0094-20260629-global-ai-ne-7afa0cb5 Full article

Investor debt binge heightens stock volatility

The $1.4 trillion in margin debt exacerbated swings in South Korea’s stock market that spilled into US trading last week.

US says Iran agreed to halt Hormuz attacks
Semafor Technology 2026-06-29 11:06 UTC Score 57.0 USR-0094-20260629-global-ai-ne-aed2b7fa Full article

US says Iran agreed to halt Hormuz attacks

The almost two-week-old truce has been under persistent strain, with both Washington and Tehran launching strikes in recent days.

China warns popular phone games may provide map data to train foreign military AI models
South China Morning Post AI 2026-06-29 11:00 UTC Score 39.0 AI-156-20260629-regional-ai--c55d6460 Full article

China warns popular phone games may provide map data to train foreign military AI models

China’s top anti-espionage agency on Monday warned gamers that a company with overseas defence ties may be obtaining geospatial data via an augmented reality game. The warning quoted media reports about “the militarisation of civilian data” that said billions of environmental scans from a popular mobile phone game were being used to train AI models with potential battlefield applications. In a social media post, Beijing’s Ministry of State Security (MSS) cited reports that said an AI company...

How the U.S. Engineered Its Sovereignty
IEEE Spectrum Machine Learning 2026-06-29 11:00 UTC Score 50.0 AI-020-20260629-global-ai-ne-d928d052

How the U.S. Engineered Its Sovereignty

In 1839, J.M.W. Turner painted The Fighting Temeraire . The old warship, once a hero of the Battle of Trafalgar in 1805, glides like a ghost across the canvas, towed by a small steam tug belching smoke on its final voyage to the ship-breakers. The image shows a clear moment of change: sail giving way to steam, and with it, a major shift in power. The ship relied on timber, rope, canvas, and Britain’s seafaring towns. The tug depended on coal mines and iron foundries that supplied machine shops in the Midlands. Turner showed the tension of this time, when new technology changed who held power. By Turner’s time, the United States had already defeated Britain’s navy in two wars—one for liberty on land, another for freedom of the seas. The 13 colonies used new technology in creative ways to win their freedom, and by keeping up with innovation, they managed to defend their freedom. Now, as the U.S. celebrates its 250th anniversary, we can ask: What does it really mean for a country to be independent? We tend to focus on how nations and individuals defend freedom but rarely turn that focus to the tools and systems that sustain freedom. Declaring independence is only the beginning: independence must still be engineered. Forging freedom Long before the first shots were fired at Lexington and Concord in 1775, Britain had drawn the lines of conflict through technology. The Wool Act of 1699 choked colonial textile exports. The Hat Act of 1732 crushed local hat-making. The Iron Act of 1…

CIO AI 2026-06-29 11:00 UTC Score 45.0 USR-0125-20260629-global-ai-ne-d15412c9 Full article

Grounding, not models, will define your AI advantage

Over the past two years, working inside the enterprise AI infrastructure world, tracking where the industry is heading, I have noticed the same question surface repeatedly: should we build our own large language model? I understand the instinct. The model feels like the thing, the engine, the brain, the asset worth owning. But after significant years as a product manager in the AI world in both customer experience and grounding infrastructure I concluded that it tends to unsettle the room: the model is the least durable part of your AI strategy. I say this not to be provocative, but because over the last few years we have seen organizations pour their scarcest resources, executive attention, engineering talent, capital, into the one layer of the stack that is commoditizing fastest. Meanwhile, the layer that determines whether their AI is trustworthy, accurate and defensible gets treated as plumbing. That inversion is, in my experience, the single most expensive mistake enterprises are making with AI right now. The model is becoming a commodity Let us consider economics. Gartner projects that by 2030, performing inference on a trillion-parameter model will cost providers more than 90% less than it did in 2025, with models becoming up to 100 times more cost-efficient than the earliest versions of comparable size. When the cost of the underlying capability collapses by that magnitude, it stops being a differentiator. Anything that gets that cheap, that fast, is not where compet…

The war against ‘woke’ could end US science as we know it
The Verge AI 2026-06-29 11:00 UTC Score 57.0 AI-016-20260629-global-ai-ne-27fb4d55 Full article

The war against ‘woke’ could end US science as we know it

A sneaky rule change has the potential to blow up scientific research in the United States. But there's still time to fight it. On May 29th, the Office of Management and Budget (OMB) issued a 412-page proposal to revise federal financial assistance. The language is a combination of distinctly Trumpian attacks on "woke" policies and […]

Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron
NVIDIA Blog 2026-06-29 10:59 UTC Score 61.0 AI-055-20260629-official-ai--00c305c6 Full article

Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron

Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to serve the needs of U.S. government agencies. Open source software has long been a pillar of U.S. technology leadership. In 1969, DARPA connected four university computers — from UCLA, Stanford, UCSB […]

Widespread fury over Lebanon-Israel ceasefire deal
Semafor Technology 2026-06-29 10:55 UTC Score 52.0 USR-0094-20260629-global-ai-ne-3261b94d Full article

Widespread fury over Lebanon-Israel ceasefire deal

The Lebanese parliament speaker called it an “agreement of diktats,” while a hard-right Israeli minister said it was a “big mistake.”

Fines doubled as teens outsmart Australia's world-first social media ban
Euronews AI 2026-06-29 10:49 UTC Score 45.0 AI-164-20260629-regional-ai--bd58f199 Full article

Fines doubled as teens outsmart Australia's world-first social media ban

Australia moves to double fines for social media platforms after seven in 10 children remained active on Facebook, Instagram, Snapchat and TikTok three months after the world-first ban on under-16s took effect — with Big Tech accused of "taking the Mickey."

Cross Validated 2026-06-29 10:39 UTC Score 33.0 AI-113-20260629-social-media-752ec715 Full article

Correlation coefficient anchored on zero or other statistics for quantifying the goodness of signed predictions

Background I want to compare some predicted data ( $x_i$ ) to experimental data ( $y_i$ ), shown below. Due to underlying symmetries of my scenario, a pair $(x_i,y_i)$ is equivalent to $(-x_i,-y_i)$ and I chose to flip both signs of all points with $x_i to make all the $x_i$ non-negative (this should have little bearing on my question)¹. What I want Now, I want to evaluate the overall quality of my predictions, where the following make for a good prediction: Small absolute predictions correspond to small absolute experimental values (the sign is not that important) Big absolute predictions correspond to big absolute experimental values of the same sign (the absolute value does not need to match well). Roughly speaking, I consider points in the red-shaded area above to be good. I am looking for a statistics that quantifies this and is ideally intuitively understandable by a general scientific audience. I would use this statistics to communicate the magnitude of the effect and also to compare my data to an appropriate permutation null model. What I have so far My best choice so far is a correlation coefficient with the centre/mean being anchored on zero, i.e.: $$ \hat{r}(x,y) = \frac{\sum\limits_i x_i y_i}{||x||·||y||} = \frac{\sum\limits_i x_i y_i}{\sqrt{\sum\limits_i x_i^2} \sqrt{\sum\limits_i y_i^2}} .$$ Without the anchoring on zero, I would also positively evaluate a case like the above, but shifted down by 0.2, which is obviously not good predictions. To arrive at this,…

The Anti-Data-Center Movement Is Reshaping Michigan Politics
WIRED AI 2026-06-29 10:30 UTC Score 42.0 AI-015-20260629-global-ai-ne-f5101a64 Full article

The Anti-Data-Center Movement Is Reshaping Michigan Politics

Climate activist Will Lawrence cofounded the Sunrise Movement. Now, he has shifted his focus in his attempt to compete for a swing-district seat by calling for a data center moratorium.