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MIT Technology Review AI 2026-06-29 12:10 UTC Score 45.0 AI-013-20260629-global-ai-ne-664c8715 Full article

The Download: metric weaknesses and AI elephant warnings

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The inevitable weakness of metrics There are plenty of useful things a metric can reveal. There are even more that it can obscure or corrupt. Like a lot of people bitten…

JetBrains AI Blog 2026-06-29 12:02 UTC Score 46.0 USR-0065-20260629-ai-specialis-9571a6f2 Full article

Kotlin Notebook Sunset

Starting from IntelliJ IDEA 2026.2, JetBrains will sunset Kotlin Notebook as a product and will no longer maintain it. The plugin will remain available on an open-source model so the community can continue its development. Below, we explain why we’re making this change, how it affects current Kotlin Notebook users, what comes next, and how […]

Once, cyber-attacks required great skill. AI is changing that | Bruce Schneier
The Guardian AI 2026-06-29 12:00 UTC Score 64.0 AI-021-20260629-global-ai-ne-63951019 Full article

Once, cyber-attacks required great skill. AI is changing that | Bruce Schneier

Modern AI systems are, in effect, a universal adviser to help people do harmful things. We’ll need to harness AI for defense, too Last week, national security agencies from the Five Eyes – that’s the rich, English-language-speaking countries club – jointly released a statement warning of the increasing cyber risks of AI models: in particular, their ability to autonomously hack into systems and networks. The statement was more measured than some of the breathless headlines about it, and the advice they gave is pretty much the standard advice everyone gives – albeit with newfound urgency. Internet risks are nothing new, and cyber-attacks – both large and small – have been a significant issue since long before the current crop of generative AI models. Bruce Schneier is a security technologist who teaches at the Harvard Kennedy School at Harvard University and University of Toronto’s Munk School Continue reading...

ByteDance targets early next year for new CPU to power own AI infrastructure: sources
South China Morning Post AI 2026-06-29 12:00 UTC Score 33.0 AI-156-20260629-regional-ai--81bab91e Full article

ByteDance targets early next year for new CPU to power own AI infrastructure: sources

TikTok owner ByteDance aims to finalise the design of its next-generation in-house central processing unit (CPU) by early next year at the latest, targeting mass production and wider deployment in the second half of 2027 to fuel its expanding AI ambitions, according to three people familiar with the matter. An early version of the proprietary CPU had been used in-house since late last year, one of the people said. However, given the urgent demand, tape-out of the new CPU could be brought...

How to end a TV show
The Verge AI 2026-06-29 12:00 UTC Score 47.0 AI-016-20260629-global-ai-ne-4efb73c5 Full article

How to end a TV show

Ending any story is hard, but that's especially true of mystery-packed TV shows. Series like Lost initially hook viewers with constantly building secrets and questions, to the point that they can often seem incomprehensible. But the promise is that it will all pay off in the end - a feat that few shows ultimately manage. […]

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 Full article

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…