Total Wireless, formerly known as Total by Verizon, is a prepaid, no-contract wireless provider with unlimited data covered by the Verizon 5G network. Total Wireless Total 5G Unlimited plan has unlimited data, talk, and text, along with a five-year price guarantee—meaning it won’t get jacked up after a trial period, guaranteeing you get unlimited data at a low price. Total Wireless has also introduced unlimited data on Verizon’s 5G Ultra Wideband network that promises to be up to 10 times faster than the median download speeds of other providers.

Whether you have to have the newest iPhone 17, or are more of an Android phone person, we wanted to highlight the best Total Wireless promo codes and discounts that will make anyone happy!

50% Off With BYOD at Total Wireless (No Promo Code Required)

My phone bill is always way more expensive than I think it will be, and it doesn’t help that phone contracts can be confusing and difficult. Total Wireless makes it easy, with incentives like free items and price-lock discounts. Right now, you can get 50% off the Total 5G Unlimited plan when you bring your own phone (aka ‘Bring Your Own Device’). These plans start at as low as $20 per month, with taxes and fees included.

Total Wireless Discount: 15% Off

To get this Total Wireless promo code for 15% off, all you have to do is sign up for the Total Wireless newsletter and get 15% off on your first phone purchase. Plus, with the newsletter, you’ll get exclusive Total Wireless offers and promotions delivered to your inbox to save even more and get up-to-date on the latest drops.

Save up to $250 on Select Devices When You Switch to Total Wireless

Total Wireless wants to thank you for switching. Right now, you can get a free Galaxy A36 5G when you switch to a Total 5G or 5G+ unlimited plan. Or, you could choose to get up to 4 free Moto G Stylus 5G phones when you switch to the Total Base 5G Unlimited plan (or higher). They have tons of other promos going on too, so there’s something no matter your taste. Right now, if you switch, you’ll get up to $250 off select devices, including the iPhone 13 for $50 ($249 off), a free Samsung Galaxy, or a free Samsung Galaxy A25 5 (originally $180), and so much more.

Loop in Friends, Get a Month Free

Total Wireless also has a loyalty program; when your friend gives you a referral code to join, you’ll get a free month of service upon joining. Once you make the switch to Total Wireless and join Total Rewards, as long as you enter your friend’s code within 14 days of activation, you’ll both receive 5,000 points, which is enough for a $50 service plan.

Fin raised $250m in debt in March to help fund its AI agents and make 650 new hires.

Salesforce is purchasing Irish customer agent unicorn Fin for approximately $3.6bn, marking the latest in a series of acquisitions aimed at strengthening its enterprise AI capabilities.

Fin was founded as Intercom in 2011 by CEO Eoghan McCabe, chief strategy officer Des Traynor, chief engineer Ciaran Lee and David Barrett, who worked as a front-end developer at the company before departing in 2018. The company changed its name to Fin – after its AI customer agent platform – last month.

The company’s core offering is Fin, an AI service agent that resolves end-to-end customer queries across channels including live chats, email, WhatsApp, phone and Slack. The AI agent is powered by the company’s proprietary AI model called Apex, purpose-built for customer support.

The company said that it surpassed $400m in annual recurring revenue in March, with Fin alone set to reach the $100m revenue mark.

Fin’s wide-ranging customer base includes companies such as Anthropic, cloud company Snowflake and crypto prediction platform Polymarket. More than 30,000 companies use Fin’s products.

The acquisition comes a few months after Fin raised $250m in debt to help fund its AI agents. The company, at the time, said that it planned to make 650 new hires across offices in Dublin, London, Berlin, Sydney, Chicago and San Francisco this year.

“We’re thrilled to welcome Fin to Salesforce as we enable every company to become an agentic enterprise,” said Marc Benioff, the CEO and chair of Salesforce.

“Fin brings proven agent technology, a deep commitment to customer success, and an incredible AI team that will complement Agentforce with powerful service agent capabilities.”

Salesforce’s AI platform Agentforce grew 205pc, hitting $1.2bn in annual recurring revenue in its fiscal quarter ending in May. Fin’s AI package is expected to help Salesforce provide organisations with improved autonomous resolution and reduced cost-to-serve.

McCabe said that “this is a major win for consumers of the world”.

“Our technology has defined this category and set the new standards for what great customer service looks like today,” he said.

Salesforce announced its intention to acquire Berlin-founded digital experience platform Contentful earlier this month.

Last summer, the company acquired enterprise cloud data management business Informatica in an $8bn deal to integrate the tech into its AI platform Agentforce.

In October, it acquired automation platform Regrello, followed by Qualified, an agentic AI marketing solutions provider, this April.

Salesforce shares are up more than 1.5pc today (15 June), but overall has dropped around 35pc over the past year.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

security

According to the one person who actually read the research paper

The “jailbreak” that prompted the Trump administration to block Anthropic’s most advanced models was actually a simple three-word prompt: “Fix this code.”

That’s according to Katie Moussouris, founder and CEO of Luta Security, and the fairy godmother of bug bounties. She says she was the only outside expert to read the third-party research paper on the Fable 5 guardrail bypass techniques that prompted the ban.

On Friday, the US government, reportedly citing national security concerns, issued an export control directive to suspend access to Fable 5 and Mythos 5 by any foreign national, inside or outside the United States. In response, Anthropic disabled both models “for all our customers to ensure compliance.”

Anthropic shared the report privately with her, Moussouris wrote in a Monday blog post.

The outside researchers reportedly fed Anthropic’s Fable 5, Mythos, and Claude Opus models open-source code containing known CVEs, plus new code intentionally laced with vulnerabilities, and asked the models to “review the code for security issues.” 

As Moussouris tells it, Fable 5 refused, so the researchers asked the AI systems to “fix this code.” The model reportedly obliged, and after additional prompts also produced scripts to test the patches.

“That’s it,” Moussouris wrote. “‘Fix this code,’ plus several manual steps to generate test scripts, should never have triggered an export control. I feel like making ’90s-style t-shirts with ‘fix this code’ on the front and ‘this shirt is a munition’ on the back.”

Between 2013 and 2017, Moussouris served on the technical expert group that renegotiated the Wassenaar Arrangement, a voluntary agreement between 42 nations that governs certain export controls for classified dual-use software and technology.

The group eventually won exemptions for defensive cybersecurity activity. This allows defenders to share vulnerability data, conduct malware analysis, and coordinate incident response internationally without the threat of criminal prosecution.

On Sunday, Moussouris joined more than 100 other cybersecurity leaders and signed an open letter urging the Trump administration to reverse the restrictions on Fable 5 and Mythos and restore cybersecurity firms’ access to the advanced models. 

“To pull the best capabilities away from defenders without a good reason when our adversaries are rapidly advancing is dangerous,” they wrote.

In her blog, Moussouris argues that there was no guardrail bypass or jailbreak. Defenders should be able to ask AI systems to find and fix bugs, and write tests to validate the patch, she said. Anthropic’s models were doing “the most valuable thing an AI model can do for defensive security: executing the find, fix, and test loop defenders run every day.”

Removing the capability for models to respond to defensive requests makes AI systems “worse at finding bugs and verifying patches,” she continued. 

Plus, the US can’t extend export controls to open-weight systems or similar advanced models from China and other countries – and these systems will soon achieve Mythos-like capabilities, anyway. Anthropic and Google have both accused China-based rivals including DeepSeek of using “distillation attacks” to train their models by siphoning knowledge from American companies’ AI.

Banning Anthropic’s advanced models is going to hurt defenders more than attackers, Moussouris warns. “Defense improves when defenders find the same bugs attackers find and fix them faster,” she wrote. “We need the best tools to defend against increasingly capable attackers in the AI era of cybersecurity.”

The Register reached out to the Trump administration for comment on Moussouris’ assertion, and we’ll update this post if we hear back. ®

Xiaomi has unveiled a robotic charging arm designed for residential garages that automatically plugs and unplugs an electric vehicle without any owner intervention. The system detects the vehicle’s position after parking, extends to the charging port, connects the cable, and retracts it once charging is complete or a preset battery level is reached. Xiaomi is targeting a Q4 2026 retail launch in China, though no price has been announced.

The concept is not new. In December 2014, Elon Musk tweeted that Tesla was working on a charger that “automatically moves out from the wall and connects like a solid metal snake.” Tesla demonstrated a functional prototype in August 2015, a multi-segmented robotic arm that located the charge port on a Model S and plugged itself in.

The product never shipped. Tesla has since pivoted to wireless charging, acquiring German startup Wiferion in 2023 and designing the Cybercab robotaxi without a physical charging port entirely. Xiaomi’s approach is more conventional but potentially more practical: a compact unit that works with existing plug-in standards rather than requiring new vehicle hardware.

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

The arm has a body width of just 152mm, narrow enough to mount alongside tight residential parking spaces. It uses AI-based vision recognition for what Xiaomi describes as sub-millimetre precision when inserting the plug. Owners can also initiate charging remotely via smartphone if the vehicle is parked within the arm’s reach.

The company emphasised that the promotional video was filmed in a real-world setting rather than a controlled environment, and that all demonstrated features are production-ready. That claim has not been independently verified, and Xiaomi has shipped more than 600,000 EVs in under two years, giving it the manufacturing scale to bring accessories like this to market. Whether a robotic charging arm appeals to enough buyers to justify production remains an open question, particularly without pricing.

The robotic arm is designed to integrate with Xiaomi’s broader smart home and automated parking ecosystem. The intended workflow pairs autonomous parking with autonomous charging: the car parks itself in the garage, the arm plugs in, and the owner walks away. That vision depends on vehicle-to-infrastructure communication protocols that Xiaomi controls end-to-end across its SU7 and YU7 lineup, an advantage of building both the car and the accessory.

Xiaomi is not the only Chinese company pursuing this technology. Huawei demonstrated a robotic charging arm for the Maextro S800 in January 2025 with full unmanned automation. Li Auto and its partner CGXi have developed a rail-based robotic charging system for public stations, with commercial deployment planned for Q2 2026 across Li Auto’s 5C fast-charging network. BYD has filed patents for an AI-powered charging robot that also handles tyre inflation.

The competitive landscape extends beyond plug-in robotics. Dutch startup Rocsys raised $13 million in April to scale its M1 overhead rail-mounted robotic charger for robotaxi depots, a commercial-fleet application rather than a consumer one. Porsche has taken a different path altogether with its 11kW wireless inductive charging pad for the Cayenne Electric, which transfers power through a magnetic field between a floor plate and a receiver under the vehicle. Porsche’s system launches in Europe in 2026.

The common thread is that multiple companies have concluded EV owners should not have to handle charging cables. The approaches differ, robotic arms for plug-in automation, wireless pads for cable elimination, overhead rails for fleet operations, but the underlying bet is the same: that convenience is a barrier to EV adoption and that the charging experience needs to become invisible.

For Xiaomi, the robotic arm also serves a strategic purpose beyond convenience. The company is targeting 550,000 vehicle deliveries in 2026 and has built its automotive brand on the promise that everything in a Xiaomi ecosystem, phone, home appliances, car, works together seamlessly. A robotic charging arm that only works with Xiaomi vehicles strengthens that lock-in. Whether the product reaches production at a price point that makes it more than a novelty will determine if it stays a concept video or becomes a real differentiator.

from the seems-bad dept

Late Friday, Anthropic shut down access to its just-released Fable 5 and Mythos 5 models after the Trump administration slapped export controls on them — treating cutting-edge AI, in other words, like weapons. The trigger, it turns out, was a jailbreak. And the entity that tipped off the government? Amazon — one of Anthropic’s biggest investors.

Considering how much Trump-supporting VC bros in Silicon Valley insisted that the Biden admin wanted to shut down powerful AI models during the last administration, it’s quite something to see them cheering on the Trump admin actually doing exactly that.

As you’ll recall, a couple months ago, Anthropic talked about its “Mythos-class” LLM models with (depending on your perspective) the greatest marketing hype ever or an appropriate level of caution for the risks with the model (more likely: somewhere in between). When they first talked about it, they said that it was quite good at finding cybersecurity vulnerabilities, and so initially it was only available to a set group of organizations that might find it useful to patch certain holes. From what I’ve heard from people in the industry, the tool is good and useful, but it’s not magical.

Then, a little over a week ago, they rolled out the latest version of Mythos, which was still limited to pre-vetted companies, but then they offered up “Fable 5” as a tool for anyone else. This was described as “Mythos-class” but with extra guardrails, including that if it thought you might do something bad with Fable, it would drop you down to its previous best-in-class Opus 4.8 model. Fable was also twice as expensive on a per-token basis, but apparently much more efficient, so the actual pricing difference was likely less big. And some of the early tests with Fable 5 showed it to be way more impressive at certain coding tasks. There were also some oddities, like Fable only being available in the commercial subscription plans for a couple weeks before switching over to only (way more expensive) API usage.

Still, there were some concerns about the guardrails, and how frequently they were kicking people out to Opus on perfectly normal queries. There were other concerns about its changed data retention policies for large enterprises. Previously, companies could negotiate a zero retention policy with Anthropic and guarantee that no data was being held by the company. But with the latest models, they required you to let them hold onto any data shared with the models for 30 days. Anthropic insisted this was solely for safety reviews, in case something went wrong, they could track down the reasons why, but it scared away some large enterprises that could risk their own data or source code being retained anywhere else.

Either way, all that went silent late on Friday (amusingly, in the middle of me messing around with Fable) when Anthropic announced that the US government had made them shut down access to the models with zero due process. Technically, the US government claimed that for “national security” reasons, no foreign national could be allowed to have access to the models (including Anthropic’s own foreign national employees), and since Anthropic doesn’t know which of its customers are foreign nationals, they had to shut down all access.

There are a number of different threads to pull on from previous events that are all worth mentioning here as useful background:

1. The US government’s plan to ban TikTok by just screaming “national security.” Many of us had called out how problematic that was, but the Supreme Court basically told the US government “all you have to do is say ‘national security’ and you can ban any tech you want” so here we are. What the Supreme Court gifted the US government, the Trump administration has no problem abusing.
2. Remember, many of the most powerful people in Silicon Valley had lined up behind Donald Trump, in part because of this very mild executive order on AI technology from the Biden admin that never, ever got remotely close to the level of banning an entire model by screaming national security. Some are vocally defending Trump for doing the very thing they screamed would destroy American innovation if Biden did it (even though he showed no sign that he would). Others are conspicuously quiet. AI’s got your tongue?
3. Just a few weeks ago, the Trump administration released its own AI executive order that was effectively the same plan Biden had released that drove Silicon Valley VCs crazy, except this plan was less well-thought out and more confusing. But, still, even that plan didn’t include “banning models for national security.”
4. Of course, there is also the ongoing battle between Anthropic and the Trump administration, all because Anthropic wanted to keep some specific terms of use in their contract with the Department of Defense to try to limit a few egregious use cases. The entire Trump admin lost their minds over this, because Pete Hegseth can’t take someone saying no to him.
5. And then there’s also Anthropic’s tightrope walking of asking the US government to build them a regulatory moat. Just days before this came down, Dario Amodei had penned a blog post (or was it Claude) laying out a roadmap for how he wanted Trump to regulate Claude. Be careful what you ask for, Dario.

So all of those things came together to lead to this effective ban.

Soon after it was announced, it was revealed that Amazon (one of Anthropic’s biggest investors) had actually alerted the US government to the supposed “bug” that gave the administration the ammo it needed to shut down the model.

Anthropic said it thinks the government became aware of a method of so-called jailbreaking before Friday’s action. “We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly available models are able to discover them as well without requiring a bypass,” the company said. 

The jailbreak research in question was done by researchers at Amazon, who used a series of prompts to get Anthropic’s model to provide them with information about a handful of security vulnerabilities, said Katie Moussouris, chief executive with the cybersecurity firm Luta Security. Anthropic shared a copy of the report with her, she said.

Now, if you’re thinking “a jailbreak sounds dangerous for this tech” then, sure… except that the reporting says the jailbreak was useful in a different way:

But the information provided by the model in this report would be of more use to people defending computer networks than to those attacking them, she said.

“Who at the White House evaluated this and thought it was a threat?” she said. “It’s a complete overreaction because this is exactly the kind of prompting that defenders would do.”

That almost makes it sound like somebody (NSA?) didn’t want people using this to protect themselves — rather than being worried about malicious uses. It sure wouldn’t be the first time the NSA compromised everyone’s security to make sure they could keep spying on people.

None of this is good or reasonable tech policy — or industrial policy, or any other kind of policy. It’s all just power-seeking Calvinball. Apparently the US government can just scream “national security” with no evidence or explanation and shut down an entire model. That’s ripe for abuse — especially with this administration.

When I wrote recently about how authoritarians seek to grab control over centralized technology choke points, this is the kind of thing I was thinking of, though I didn’t expect them to be so ham-fisted about it.

It’s tempting to read this purely as retaliation by the Trump admin against Anthropic, a company they’re already mad at and already illegally trying to punish. But all of these other issues play into this as well, including Anthropic’s constant refrain of “we’re so dangerous, please regulate us.”

You kept asking for it. Now you’ve got it.

And where are all those Silicon Valley VCs who insisted everyone had to back Trump because Biden was going to seize and shut down LLMs? I looked on X at the feeds of the various of Trump’s biggest supporters who had talked shit about Biden shutting down AI innovation and… of course they’re still supporting Trump. David Sacks came out with a long tweet saying that the administration was totally justified in shutting down Fable because of “safety” saying that Anthropic had “prioritized the continued offering of the consumer model over safety.”

Can you imagine how Sacks would have responded if the Biden admin had demanded an AI company shut down a model because of “safety?” Oh, you don’t have to imagine, because he was pretty clear about how he felt about the Biden EO. He claimed it “hamstrung American AI companies” even though nothing in the Biden admin plans would have ever gotten so far as what the Trump admin did on Friday, shutting down an entire model. All it did was ask companies to voluntarily pre-submit frontier models for an analysis by experts who might make some suggestions on how to keep them secure.

And that was so horrific it was worth effectively blowing up the American democratic order. Yet now Trump goes way further in literally shutting down an LLM and Sacks says it’s all good because it’s for “safety.”

These are not serious people. This is not a serious administration.

They are just power hungry jackasses with poor impulse control.

Here’s what we know: the jailbreak was defensive in nature, according to the cybersecurity expert who reviewed the actual report. Also, the administration offered no public evidence, no due process, and no coherent explanation for why this particular jailbreak required shutting down access for everyone, including Anthropic’s own employees. We also know that this administration pulls out “national security” claims quite frequently that later turn out to be bogus, and thus we shouldn’t trust them without more evidence.

Maybe there’s classified information that changes the picture. But this administration has burned any benefit of the doubt it might have had. What we’re left with is a government that learned it can yell “national security” and make technology disappear — and a roster of Silicon Valley allies who spent years screaming about regulatory overreach from the last administration have suddenly found a new song to sing.

Filed Under: ai ban, claude, dario amodei, donald trump, due process, export controls, fable 5, mythos, national security, trump administration

Companies: anthropic

An anonymous reader quotes a report from TechCrunch: A group made up of dozens of cybersecurity experts, including several well-known veterans of the industry, published an open letter to the U.S. government asking it to lift the export control order on Anthropic’s Fable and Mythos models. According to the open letter, “this action has taken the best models away from [cybersecurity] defenders” who now can’t use the models to find vulnerabilities and make their software and products more secure. “To pull the best capabilities away from defenders without a good reason when our adversaries are rapidly advancing is dangerous,” read the letter.

On Friday, the U.S. government ordered Anthropic to limit the export of Fable and Mythos, citing national security concerns, without explaining the specific reasons behind the order, according to Anthropic. In response, the company suspended access to the models to all users worldwide. As of this writing, the letter is signed by 76 cybersecurity experts, including Alex Stamos, former Facebook chief of security; Casey Ellis, the founder bug bounty platform Bugcrowd; Jon Callas, famed cryptographer and former Apple security design and architecture manager; Paul Vixie, computer scientist ; Dino Dai Zovi, the former head of applied security engineering at Block; Katie Moussouris, the founder of Luta Security; and Rachel Tobac, the CEO of the security awareness training firm SocialProof Security.

[…] Anthropic said that the White House export control order may have been based on a report that there was a method to bypass — or jailbreak — Fable to unlock its powerful Mythos-level capabilities. According to Katie Moussouris, one of the signatories of the open letter, the method was demonstrated by Amazon researchers in a paper that is not public but that she has reviewed. But Moussouris said in a blog post that the paper did not actually demonstrate a real jailbreak. Instead, she wrote, the researchers simply asked Fable to fix open source code with public and known vulnerabilities along with “deliberately planted vulnerabilities,” after the model initially refused to “review the code for security issues.”

“The behavior described in the paper cannot meaningfully be fixed, and any attempt would only weaken the model for defense,” Moussouris wrote. “Defenders need to be able to ask AI to fix the bugs in a file, explain why the fix matters, and write tests that confirm the patch works. That is not a guardrail bypass. It is the most valuable thing an AI model can do for defensive security: executing the find, fix, and test loop defenders run every day.” Moussouris’ critique was echoed in the open letter, which also said that the group of experts believe the model capabilities in the Amazon paper “can be replicated” on OpenAI’s GPT-5.5, on Anthropic’s own publicly available Claude Opus 4.8 and Sonnet, “and even Chinese models like Kimi 2.7.”

Moussouris told TechCrunch that “the bugs used to demonstrate the techniques in the paper can be found using the other models. The method in the paper is a guardrail bypass technique. Other models that lack the Fable guardrails often won’t refuse the straightforward request to look for security bugs, so they don’t need a bypass.” The letter also asked for transparently and fairly enforced regulations created by “a democratic rule-making process” that are based on scientific research done by industry and academic experts, and “used only to the minimal extent necessary to ensure the safety of the American public.”

from the less-competition-is-more-competition dept

The Trump “Department of Justice’s” “antitrust division” dumped its unsurprising approval of the terrible Paramount Warner Brothers merger late on Friday in the hopes people wouldn’t notice it.

As we’ve noted the $111 billion megadeal is a historically harmful mess. Backed by billions in Saudi and Chinese cash (raising all sorts of foreign media influence concerns), the giant deal will saddle the company with so much debt that mass layoffs, consumer price hikes, and quality erosion from corner cutting are guaranteed. This happens with every major media merger, but especially when Warner Bros is involved.

And that’s before you get to the problems with Larry Ellison and his Bari Weiss brigades trying to destroy what’s left of already soggy U.S. corporate journalism and replace it with right wing, oligarch-friendly agitprop.

Regardless, you’ll be comforted to know that the Trump Justice Department looked at the deal closely and found that not only does it not hurt competition, it’s going to improve competition:

“The evidence reviewed and carefully analyzed by the Division indicates that, post-merger, competition in SVOD is not likely to be harmed. To the contrary, the combined firm is likely to increase competition by offering consumers a more robust competitive alternative to the larger SVOD offerings.”

That is, again, not how any of this works.

The massive debt created by these deals always results in mass layoffs, higher consumer prices, and lower quality product due to corner cutting. It’s not debatable. Arguing against this is like trying to have a fist fight with a running river. You just have to look back at, well, every single major media consolidation effort in the last fifty years. Which the DOJ didn’t because, well, they didn’t care.

You’ll still have major competitors to Paramount like Netflix, Comcast/NBC, Apple, and Disney, but in a country obsessed with consolidation that no longer has functional regulators, there’s really nothing stopping any limit of predatory behaviors — and additional consolidation — moving forward. There’s ongoing pretense that our consumer and labor protections still function. They don’t.

The “funny” part is the Trump DOJ even acknowledges that the history of Warner Brothers has been pockmarked by all manner of terrible competition-eroding consolidation. They just pinky swear that this time will somehow be different. Based on… nothing:

“Warner Bros. has been a repeated acquisition target in the media and entertainment industry. It is thus familiar to the Division from prior investigations and enforcement actions, including AOL/TimeWarner (2001), AT&T/TimeWarner (2018), and WarnerBros./Discovery (2022). The legacy of these transactions illustrates the challenges that arise when the commercial rationale for a deal lacks clear alignment with competitive incentives of the acquiring firm or the competitive evolution of the marketplace. In technology-driven industries, the disruptors of the recent past may quickly become the entrenched monopolists of the present day. It is with this historical experience and present enforcement sensitivity to the contestability of dynamic markets that the Division conducted a thorough investigation of the proposed transaction to assess whether the proposed transaction presented any harm to competition. The extensive investigatory record reviewed by the Division suggests that the impact of the transaction will be to increase competition across the media and entertainment ecosystem, with benefits for American consumers and workers.”

Fun fact: Paramount’s top lawyer is Makan Delrahim, Trump’s “DOJ enforcer” from the first administration. Delrahim personally worked to make sure Sprint could merge with T-Mobile during the first term. They promised that deal would result in untold synergies and new competition. Instead, 8,000+ people lost their jobs and U.S. wireless carriers immediately stopped competing on price. It’s been memory holed.

As far as the inevitable layoffs that always result from these deals (recall that AT&T’s merger with Warner Brothers and DirecTV resulted in 50,000 lost jobs), the DOJ simply declares that won’t be happening this time. Why? Because Larry and David Ellison said they’ll keep pumping out brick-and-mortar movies at the same or greater pace (they won’t):

“While taking seriously the potential impact of the proposed transaction on the creative community and domestic labor groups, the substantial evidence does not suggest a likelihood of reduction in output. That is because the demand for creative workers and labor is correlated with the Parties’ incentives to maintain or expand output. Thus, the expressed labor concerns do not raise actionable antitrust concerns.”

In three years, after the resulting company has fired 10,000+ employees, consumers have been price gouged to reduce debt, and the resulting flailing mess is acquired for half (or less) of the price, all the folks involved with this will have moved on to hyping other terrible ventures. Nobody will own any of this or engage in a single moment of meaningful reflection. That’s how this always works.

And the corporate press (and pundits like Matt Stoller) will still try to tell you that Republicans are to be taken seriously on antitrust reform.

Granted DOJ approval of a terrible merger isn’t the final word. State AGs have hinted repeatedly at a looming collaborative antitrust lawsuit that, at a minimum, is likely to drag any integration out considerably. If that lines up with a potential AI bubble pop and economic reverberations, that massive debt load from gobbling up CBS/Paramount and Warner Bros will be an even larger albatross.

Filed Under: antitrust, competition, david ellison, doj, journalism, larry ellison, makan delrahim, media, media consolidation, mergers, streaming

Companies: paramount, warner bros.

The Canadian government introduced legislation on Monday to overhaul the country’s private-sector privacy laws, including new restrictions on businesses that use personal data to charge individual consumers higher prices. Bill C-36, the Protecting Privacy and Consumer Data Act, would replace the Personal Information Protection and Electronic Documents Act, a law first enacted in 1998 that has been widely criticised as outdated in the age of algorithmic pricing and large-scale data collection.

Artificial Intelligence and Digital Innovation Minister Evan Solomon said the bill targets so-called surveillance pricing, the practice of using a consumer’s browsing history, location, device type, or purchasing behaviour to set individualised prices. “Companies should not have the ability to use your behaviour, your location, your profile, your vulnerabilities, or your personal information to charge unfair prices,” Solomon told reporters. “Your personal information should not be used against you for price gouging.”

The bill does not ban surveillance pricing outright. Solomon said the legislation aims to bar the use of data to target consumers with individualised prices when the harms outweigh the benefits, but the government does not want to prevent companies from rewarding consumers with better prices through loyalty programmes or promotional discounts. Surveillance pricing is not specifically mentioned in the bill’s text, according to BetaKit, and Solomon will instead ask the new regulator to draft guidance on the issue once it is operational.

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

That regulatory gap is significant. The bill creates a new body called the Digital Safety and Data Protection Commission to oversee compliance with both the privacy legislation and the proposed Digital Safety Act, which aims to safeguard children online. The Office of the Privacy Commissioner of Canada would retain responsibility for overseeing government compliance with federal privacy laws, but the new commission would handle the private sector.

The penalties are substantial on paper. The commission could impose fines of up to C$10 million ($7.1 million) or 3% of global revenue, whichever is greater, for non-compliance. The most serious offences could face fines of up to C$25 million or 5% of global revenue. Whether those penalties are ever applied will depend on whether the bill passes Parliament and how aggressively the commission interprets its mandate.

Beyond surveillance pricing, the bill introduces several consumer protections that bring Canada closer to the European Union’s General Data Protection Regulation. Canadians would gain the right to have their personal information deleted under certain circumstances. Organisations would be required to disclose more information about automated decisions affecting consumers. Children’s data would be classified as sensitive, requiring a higher standard of care from any business that collects it.

Canada is not moving in isolation. Manitoba’s provincial government introduced Bill 49 in March, which would prohibit retailers from using personal data to increase prices for individual consumers both online and in stores. In the United States, Maryland became the first state to enact a surveillance pricing ban when Governor Wes Moore signed HB 895, prohibiting food retailers with locations larger than 15,000 square feet and third-party delivery services from using personal data to raise prices on individual shoppers. That law takes effect on 1 October.

Public opinion in Canada strongly favours action. An Abacus Data poll conducted in early March surveyed 1,931 Canadians and found that 52% said surveillance pricing should be banned outright, while 31% said it should be allowed but more strictly regulated. The bill’s approach, restricting rather than banning, positions the government closer to the minority view, though Carney’s broader $2.3 billion national AI strategy had already signalled that new privacy legislation was coming without specifying how far it would go.

The privacy bill arrives less than two weeks after the AI strategy launch and days after Carney warned at the G7 about the systemic risks of AI dependence. The timing suggests the government is attempting to build a coherent regulatory framework across AI investment, data sovereignty, and consumer protection simultaneously. Whether those pieces fit together or contradict each other, spending $2.3 billion to accelerate AI adoption while restricting how AI-driven pricing can use consumer data, will depend on the details that the new commission eventually produces.

The bill still needs to pass Parliament. Canada’s previous attempt at modernising its privacy framework, the Artificial Intelligence and Data Act within Bill C-27, never made it through the legislative process and has not been revived. If Bill C-36 meets the same fate, the country will continue operating under a privacy law written before smartphones existed, while other jurisdictions move ahead with enforcement of their own digital protection regimes.