from the laws-are-just-suggestions dept

Brendan Carr and the Trump FCC are finalizing plans to illegally eliminate what’s left of the country’s already barely functional media consolidation limits; a specific gift to Trump-friendly right wing broadcasters that are hoping to monopolize what’s left of local U.S. broadcast news so they can more efficiently spread propaganda and kiss the president’s ass.

Current laws (remember those?) prohibit any single local broadcast news company from serving more than 39 percent of all TV households in the US. The original (good) idea was that this helped protect opinion diversity and competition in the local broadcast news space. Republicans don’t like that, because they want to replace all journalism with right-wing and oligarch friendly propaganda.

Brendan Carr last March had already made it clear he viewed the law as optional when he granted Nexstar Media Group a waiver for its $6.2 billion acquisition of Tegna. That deal would let the company reach more than half of all U.S. households with what passes as “local news.” Now he’s trying to replace a congressionally-approved law with a “case by case review” dictated by Republican whims:

“Carr now plans to repeal the 39 percent limit and replace it with a “case-by-case review” of each proposed merger, the chairman announced today in an op-ed published on Breitbart. The change would make it easier for the FCC to pick and choose which station groups get to surpass the limit. Under Carr, this would likely benefit news companies that provide favorable coverage for President Trump.”

This is, to be clear, illegal. Something the FCC’s lone Democrat, Anna Gomez, made clear in her own statement:

“This unlawful effort to hand control of the public airwaves to billionaire buddies of this
administration will destroy local newsrooms, silence community reporting, and drive-up
costs for the American families who depend on local stations for news and emergency
alerts. A free and diverse media landscape depends on real limits on how much of the public
airwaves any one company can control, and this FCC is now poised to allow local
broadcasters to sell those airwaves off to the highest bidder. Congress set the 39 percent
national ownership cap in federal law, and only Congress has the authority to raise or
eliminate it. The Commission cannot waive away that limit simply because these corporate
behemoths want to get out from under it.”

Clearly there will be lawsuits, though they’re likely to drag on until long after Nexstar and Tegna have merged, with future regulators being very unlikely to unwind the transaction. I’d then expect to see Sinclair Broadcasting to merge with the remaining company, creating a monopoly over local broadcast TV.

While people are quick to insist that “who cares, nobody watches this stuff,” they don’t seem to realize that somewhere around 80 million households still watch local broadcast TV channels via antenna, cable TV, streaming providers, or satellite.

As I’ve frequently discussed, most of these local broadcasters deliver a sloppy combination of lazy infotainment and right-wing agitprop, as that viral video about Sinclair Broadcasting made clear a few years back:

Carr’s very unsubtle goal here is to turn the entirety of U.S. local broadcast television into propaganda arms of the U.S. right wing. That’s not an opinion or hyperbole, and he’s well on his way already. It might help if there was a functional opposition party that had made meaningful media reforms a centerpiece of their political platform anytime in the last quarter century.

And this is, of course, just local broadcast TV. We’ve also got Carr’s FCC helping Larry Ellison do the same thing to CBS and CNN. Ellison’s also steadily doing the same thing to TikTok while Elon Musk does the same thing to what used to be Twitter. If you stand back, tilt you head, and squint just right, you might begin to notice a consistent theme.

Filed Under: brendan carr, broadcast tv, corruption, disinformation, fcc, journalism, local news, media consolidation, propaganda, republican

Research from ServiceNow indicates an 18-point gap between AI strategy and execution in EMEA.

Despite massive artificial intelligence spending, European businesses are struggling to turn their investments into measurable results, a new ServiceNow index has found.

Organisations across Europe, the Middle East and Africa (EMEA) scored 51 out of 100 for their overall AI maturity – up 34pc since last year – but only managed to hit 40 points when it comes to actual AI-enabled workflows.

Leadership, vision and strategy scores reached 58, according to the report, which surveyed more than 4,700 senior executives across 16 countries. 1,700 were based across EMEA.

Business are paying for AI capability that they haven’t yet unlocked, the report found, with only 16pc of those surveyed saying they replaced fragmented legacy systems with an integrated platform.

And while 59pc of the surveyed professionals said their organisations had moved beyond piloting agentic AI, only 9pc said they have made “meaningful progress” towards building autonomous, multistep workflows.

This comes as global corporate AI spending hit $581bn in 2025, with projections estimating that AI will represent more than 20pc of an organisation’s IT budget by 2027. Government AI spend, meanwhile, rose 140pc year over year, more than any other industry surveyed.

ServiceNow pointed to data quality, governance and workflow foundations as “critical barrier[s]” to scaling AI across the enterprise sector.

It also found that businesses based in Ireland that already operate against rising costs and tighter margins are facing added pressures.

This comes as Ireland makes efforts to upskill workers in AI, support businesses in adopting the technology and introduce new policies to attract data centres.

“Organisations in Ireland are among the most ambitious on AI in Europe. The challenge isn’t commitment. It’s connecting that commitment to the operational infrastructure that makes AI work across the enterprise and, more importantly, getting it live with the right guardrails and governance,” explained Paul Turley, senior director at ServiceNow Ireland.

“The organisations that have closed that gap are already seeing returns the rest have yet to match. The contrast is stark – those bridging the gap aren’t just using AI more, they’re using it differently, running autonomous, multi-step workflows at roughly 18 times the rate of the rest of the market.”

ServiceNow’s survey found data to be the biggest barrier to AI execution, with 73pc of EMEA executives citing inadequate data accuracy, access and management as a major barrier.

Only 57pc of surveyed organisations in the region use agentic AI, of which only 9pc use the technology to create autonomous workflows, according to ServiceNow, meaning AI is merely assisting employees without a significant change in how an organisation works.

Meanwhile, only 19pc of EMEA organisations said they have implemented AI testing, auditing and risk processes, despite the bloc’s strict rules.

ServiceNow finds governance maturity as the defining factor between organisations succeeding in the AI race and those lagging behind.

These organisations combine strong data management, testing and risk controls with integrated workflows, enabling them to scale AI confidently, according to the report, and as a result, managed to deliver a 164pc return on investment and expect 199pc ROI within two years.

“Mature governance enables these organisations to scale confidently and move faster than their peers. For Irish businesses, the EU AI Act makes governance unavoidable, but the Index shows it should be welcomed rather than resisted,” said ServiceNow.

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China’s passenger car sales fell 20.2% in the first half of 2026 to 8.7 million units, and the China Passenger Car Association has lowered its full-year forecast to a 14% decline, projecting 20.4 million deliveries, down from a record 23.7 million in 2025. Citic CLSA’s Xiao Feng expects a 20% full-year drop. “This is going to continue to be a brutal year,” said Tu Le, founder of Sino Auto Insights.

The collapse is concentrated in petrol cars. Retail sales of internal combustion engine vehicles fell 39% year-on-year in June, with pure gasoline models down 42%, accounting for 78% of the total decline that month. Transportation energy costs soared 15.3% year-on-year in June, crushing demand for cars that burn fuel. On the electric side, Beijing’s pullback of NEV subsidies that had stimulated record 2025 sales is now pulling demand forward in reverse. “Policy only moves demand around,” Feng told CNBC. Even new energy vehicle sales are expected to fall 5-6%.

Automakers are being squeezed from both ends. Battery input costs, including lithium and memory chips, are rising. Industry profit margins fell to 3.4% in January-May, while industry profits dropped 20% year-on-year. Passenger vehicle prices fell more than 1% in June, further thinning already razor margins. Feng estimates a Chinese automaker needs 500,000 annual sales to break even, 1 million for sustainable profits, and 2 million for full economies of scale. He expects the market to consolidate to seven or eight players by 2030, with BYD (1.8 million H1 sales), Geely (1.4 million), and Leapmotor (356,000) among the survivors alongside Volkswagen and Toyota. Chinese automakers are opening new markets, from Canada to the UK, precisely because the domestic market can no longer absorb their output.

Exports are the lifeline. Total passenger vehicle exports surged 82.3% year-on-year to 877,000 units in June. Chinese EV content is flooding American social media even though 100% tariffs block the cars themselves. The Middle East conflict has driven fuel costs higher worldwide, pushing overseas consumers toward cheaper Chinese EVs. Feng expects a rebound in 2027 as vehicle fleets age and replacement cycles kick in. But between now and then, the shakeout will decide which companies are still around to benefit.

Days after a rival Chinese lab shook Silicon Valley, Alibaba has fired back. The company previewed Qwen3.8, its most powerful model yet, and made a bold claim: it trails only one model on Earth.

Alibaba unveiled the model at the World Artificial Intelligence Conference in Shanghai. Its Qwen team said on X that Qwen3.8 is “second only to Fable 5,” a nod to Anthropic’s latest release. Alibaba shares rose as much as 5.4% on Monday.

What Qwen3.8 is

The model holds 2.4 trillion parameters. That makes it the first in the Qwen family above a trillion to be multimodal, meaning it handles images, video and documents as well as text.

Alibaba says Qwen3.8 should beat its own previous flagship, especially at coding and office work such as full-stack development and data analysis. Lead developer Shuai Bai called it the team’s first trillion-parameter multimodal model, with understanding that he said matches or beats leading proprietary systems.

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The preview is available now. It runs through Alibaba’s Token Plan subscription and its Qoder developer tools, priced at 10% of the standard rate during the trial. Full open weights are promised “soon,” with no date and no licence terms yet.

A claim without the receipts

Here is the catch. Alibaba offered no benchmark scores, no model card, and no independent test to back the “second only to Fable 5” billing, SiliconANGLE reported.

That is a shift for the company. Its last flagship, Qwen3.7-Max, shipped in May with a full set of published results. This one arrived with none.

The gap matters because the comparison is Alibaba’s own. No public leaderboard has scored Qwen3.8. On LMArena, where Fable 5 sits at number one, the older Qwen3.7-Max ranks well down the list. The weights, once released, would let outside researchers check the claim. For now, they cannot.

The open-weight arms race

The timing is no accident. The launch came three days after Moonshot released Kimi K3, a 2.8-trillion-parameter open model that topped a major coding leaderboard and rattled US chip stocks. Alibaba’s move reads as a direct answer, The Decoder noted.

A cluster of Chinese labs is now shipping models at a scale once reserved for the biggest US labs. Moonshot has Kimi K3. Zhipu has GLM-5.2. All are chasing the frontier, and most are handing out their weights for free.

There is a strategic wrinkle. Alibaba, like Moonshot, is putting the model in paid products first and releasing the weights later. It turns the launch buzz into customers before anyone can run the model for nothing.

The bigger signal is what Alibaba is promising to open up at all. Its largest models have not usually been open-weight, a point several analysts flagged. “Something is changing,” the AI researcher Nathan Lambert wrote, reading the shift as a new phase of competition among Chinese labs.

Handing over a claimed number-two system, if the weights match the hype, would push the open-weight field deeper into frontier territory. That is the ground US labs have guarded most closely. The proof, though, lands only when the download does. Until then, Alibaba is asking the market to take its word for it.

Samsung is expected to announce the Galaxy Watch Ultra 2 on Wednesday.

The Hugging Face artificial intelligence repository disclosed that attackers gained access to internal datasets and credentials after breaching its production infrastructure using an autonomous AI agent system.

Hugging Face is an open-source AI and machine learning platform that provides access to over 45,000 models from leading AI providers and is used by more than 50,000 organizations.

The company is still investigating whether partner or customer data was affected and said it would contact any affected parties directly. Hugging Face said it has found no evidence of tampering with public-facing models, datasets, or Spaces to date, and that its software supply chain has been “verified clean.”

The intrusion began in Hugging Face’s data-processing pipeline, with the attackers using a malicious dataset to exploit two code-execution vulnerabilities and run code on a processing worker. This allowed them to steal cloud and cluster credentials and move laterally across several internal clusters.

“The campaign was run by an autonomous agent framework (appearing to be built on an agentic security-research harness – used LLM still not known) executing many thousands of individual actions across a swarm of short-lived sandboxes, with self-migrating command-and-control staged on public services,” Hugging Face said in an incident disclosure published Thursday. “This matches the ‘agentic attacker’ scenario the industry has been forecasting.”

In response to the breach, Hugging Face has closed the vulnerable code execution paths (a template injection in a dataset configuration and a remote code dataset loader), evicted the attacker, rebuilt the compromised nodes, and revoked and rotated all affected credentials.

It also deployed improved malicious activity detection systems, reported the incident to law enforcement, and is now working with external forensic experts to assess the breach’s impact.

“We do not know which model powered the attacker’s agents, whether a jailbroken hosted model or an unrestricted open-weight one; either way, the attacker was bound by no usage policy, while our own forensic work was blocked by the guardrails of the hosted models we first tried,” Hugging Face added.

“The practical lesson for defenders: have a capable model you can run on your own infrastructure vetted and ready before an incident, both to avoid guardrail lockout and to keep attacker data and credentials from leaving your environment.”

Hugging Face advised users to rotate access tokens and review recent account activity for signs of suspicious behavior and said it would continue sharing findings on defending against AI-driven attacks.

While this is the first security incident affecting the platform that has been linked to an AI agent, it’s not the first breach disclosed by Hugging Face in recent years.

The company also revoked some members’ authentication secrets and advised them to switch to fine-grained access tokens two years ago after hackers breached its Spaces platform.

Threat actors have also been abusing the platform in recent years to push malicious AI/ML models and infostealer malware, and to spread thousands of Android malware variants.

Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.

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• NordStellar reports 2,581 ransomware attacks in Q2 2026, with Qilin (299) and The Gentlemen (284) leading activity, far ahead of DragonForce (147)
• US SMBs were hit hardest, suffering 769 incidents; Canada (97), Germany (83), and the UK (74) followed, while attacks on billion‑dollar enterprises surged 74%
• Experts say rivalry between Qilin and The Gentlemen is driving the spike, with major corporate hits seen as reputation‑boosting trophies in the cybercriminal underground

Two ransomware gangs are battling for dominance, and US-based SMBs are the ones suffering most for it, experts have claimed.

Fresh data about the state of ransomware in 2026, compiled by security experts from NordStellar, shows two groups – Qilin and The Gentlemen – being by far the most active ones.

In Obsession, an awkward young man gets more than he bargained for when he wishes for his crush to love him back with the help of a gag gift from a novelty store. After a rocky start, Bear gets what he wanted… sort of… before his relationship with Nikki takes a series of increasingly bizarre turns and goes completely off the rails.

In his feature film debut, writer, director, and editor Curry Barker demonstrates one of those uniquely original voices that makes us rethink what a horror movie can be, shocking even genre buffs and video reviewers who think they have seen it all. With tips of the cap to The Twilight Zone and Get Out, the script takes us places we have never been, growing deeper and darker while maintaining a surprising amount of humor in perfect balance.

The performances help tremendously, with the lead actors bringing a naturalistic edginess that ensures we never quite know what to expect next. Props to newcomer Inde Navarrette as Nikki, who is so terrifying that she reportedly made her costars, and herself, quite uncomfortable.

The movie is presented in the unusual 1.5:1 aspect ratio, with vertical black bars on the left and right and occasional elements within the frame that add to the sense of claustrophobia, as though the characters are trapped in their predicament. Director of photography Taylor Clemons often backlights the actors to creepy effect, but the high dynamic range preserves ample facial detail, while the precise image reveals haphazard shaving stubble, the fine fibers of a sweater, and the uneven degrees of focus within the frame.

You could call the sonic jolts in Obsession’s Dolby Atmos mix “jump scares,” but not in the same way as in, say, a Freddy or Jason style slasher. Instead, an abrupt beat might trigger the question, “What the hell is she going to do next?” The answer: Nothing good. Hard offscreen cues do a good job of establishing three-dimensional space, while Rock Burwell’s musical score envelops us but also bludgeons us from time to time, leaving us exhausted by the end credits.

Barker’s audio commentary track is definitely worth a listen for the infectious energy of a filmmaker at the top of his game. In a hurry? Check out the 19-minute “Obsession Unleashed” featurette, which also brings in the principal actors to share their own behind-the-scenes tidbits. The two-disc set includes an HD Blu-ray of the movie with the same extras, plus a 4K Movies Anywhere digital copy code.

This is definitely one I’ll be watching again, which is another reason physical media rocks. There are plenty of clues and little Easter eggs waiting to be discovered and dissected, a testament to the thoroughly smart script and the clever way Barker executes his twisty vision.

Movie Details

• STUDIO: Universal Pictures Home Entertainment
• FORMAT: Ultra HD 4K Blu-ray (July 14, 2026)
• THEATRICAL RELEASE YEAR: 2026
• ASPECT RATIO: 1.50:1
• HDR FORMATS: Dolby Vision, HDR10
• AUDIO FORMAT: Dolby Atmos with TrueHD 7.1 core
• LENGTH: 109 mins.
• MPAA RATING: R
• DIRECTOR: Curry Barker
• STARRING: Inde Navarrette, Michael Johnston, Cooper Tomlinson, Megan Lawless, Andy Richter, Darin Toonder

Our Ratings

★★★★★★★★★★ Movie

★★★★★★★★★★ Picture

★★★★★★★★★★ Sound

★★★★★★★★★★ Extras

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