Apple is now taking the fight to the highest court in the land. The contempt ruling stemmed from the company's alleged failure to comply with mandated App Store modifications — a core issue in the broader legal saga.

SCOTUS picking up the case is significant. It signals the justices see enough legal merit in Apple's arguments to warrant a full hearing. The outcome could have major implications for how App Store policies are enforced going forward.

Apple trades under AAPL.O. The case continues to be one of the most consequential antitrust battles in tech.

These aren't desk jobs at headquarters. The DOD wants to embed technical specialists "down to the unit level" — placing engineers directly alongside military personnel in operational roles.

The positions are being billed as "high-impact technical roles," signaling the military's urgency to close the gap between Silicon Valley capabilities and battlefield applications.

It's a bold move that puts AI infrastructure at the core of defense operations rather than treating it as a support function. The recruitment push targets engineers already working at the frontier of AI development — the same talent pool every major tech company is fighting over.

The move follows a growing trend. OpenAI and other major players have already launched their own FDE teams — essentially elite squads of engineers who embed directly with customers to get AI systems up and running.

It's a telling signal about the state of enterprise AI adoption. Companies want AI. They're buying AI. But actually integrating it into existing workflows? That's where things fall apart. The demand for hands-on implementation help has gotten loud enough that the biggest cloud provider on the planet is building a dedicated billion-dollar unit to answer the call.

AWS is betting that the real bottleneck isn't the technology — it's the deployment.

But the funding is only half the story. Etched says it has also signed sales contracts worth $1 billion. That's a serious signal of demand for an alternative to Nvidia's dominance in AI silicon.

The combination of heavyweight backers and billion-dollar contracts puts Etched in rare company among AI chip startups. Most competitors struggle to get either. Etched appears to have both.

The TSMC-linked investment is particularly notable — it suggests the world's most important chip manufacturer sees enough promise in Etched's designs to back them financially, not just fabricate their chips.

The key change: app developers would finally be allowed to direct users toward alternative payment options outside the App Store and Google Play. That's a direct hit to the commission-heavy payment systems both companies have long enforced.

Apple faces an additional demand — opening up its NFC technology to third parties. That's the tap-to-pay hardware baked into every iPhone, currently locked down tight for Apple's own services.

Google's response? It claims it has "already made the changes" the CMA is proposing. Apple has yet to publicly respond to the proposals.

The move mirrors similar regulatory pushes across Europe targeting Big Tech's platform gatekeeping.

Notable: Meituan didn't specify which chips it used. No vendor name, no architecture details. Just "domestic Chinese processors." That's a deliberate flex — and a deliberate omission.

The scale here is significant. A 50K-chip training cluster is serious infrastructure, and doing it without relying on Western silicon (at least, that's the claim) signals China's AI hardware ecosystem is maturing fast.

Meituan is better known for delivering takeout than pushing frontier AI. LongCat-2.0 suggests the company has bigger ambitions. Open-sourcing a model this size also throws down the gauntlet to other Chinese tech giants racing to build competitive large language models.

The ACCC alleges Amazon introduced advertising into its Prime Video streaming service under unfair contract terms. Existing subscribers who signed up for an ad-free experience were suddenly served ads — and told to pay extra if they wanted them gone.

That's a bold move. You sell someone a service, then degrade it, then charge more to restore what they originally had. The ACCC isn't having it.

The lawsuit targets the fairness of Amazon's contract terms, arguing subscribers were effectively strong-armed into accepting ads or coughing up additional fees. It's a significant regulatory action that could have implications for how streaming platforms handle mid-subscription changes globally.

Palihapitiya isn't just writing checks this time. He's stepping into the CEO seat himself, signaling this isn't some side project or portfolio bet. He's running the show.

The $135M raise is substantial for a Series A, especially in the AI coding space where competition is fierce. It puts 8090 in a strong position to scale against a growing field of AI-powered developer tools.

With Salesforce Ventures backing the play, 8090 gets both deep pockets and potential enterprise distribution. Whether Palihapitiya can ship product as well as he ships takes remains the big question.

The contractors deliberately steered conversations toward high-risk territory — suicide, sexual content, and other subjects that should trigger safety guardrails when a minor is involved. The goal was to document how competing platforms responded to these sensitive prompts from apparent children.

The operation essentially weaponized child safety testing against Meta's biggest AI competitors. It's a ruthless competitive intelligence play dressed up as safety research.

The scale is notable. We're not talking about a handful of testers running casual checks. Hundreds of people were systematically red-teaming rival products by pretending to be kids in vulnerable situations. Whether Meta used the findings internally or externally remains unclear.

Geofence warrants let cops demand location data from tech companies for every device present in a specific area during a specific timeframe. Critics have long argued the technique amounts to a digital dragnet, sweeping up data from countless innocent bystanders alongside actual suspects.

Monday's decision puts real teeth behind Fourth Amendment protections in the smartphone era. Law enforcement will now face significantly higher legal hurdles before casting these wide surveillance nets.

The ruling lands as location tracking capabilities grow ever more precise and pervasive. For privacy advocates, this is a landmark win. For police, it's a major tool taken off the table.

Among the leaked materials: component lists, supplier directories, and — perhaps most damaging — photos of unreleased iPhone 18 Pro models. That's a nightmare scenario for Apple, which guards its product pipeline like a state secret.

The breach exposes critical supply chain intelligence. Component and supplier lists alone could give competitors and bad actors a detailed map of Apple's manufacturing relationships in India. The leaked iPhone 18 Pro images could upend Apple's carefully orchestrated product reveal strategy.

Neither Apple nor Tata have publicly detailed the full scope of the breach. The incident underscores how supply chain partners remain a persistent weak point in even the most security-conscious tech ecosystems.

The agreement gives state and local entities access to Anthropic's Claude suite at a 50% discount, a move designed to accelerate AI adoption throughout California's sprawling government apparatus.

Chris Given, California's chief information officer, made the intent crystal clear: departments across the state are expected to migrate their AI usage to this new contract. It's not a suggestion — it's the plan.

The deal positions Anthropic as a preferred AI vendor for one of the largest state governments in the country. For Anthropic, it's a massive distribution win. For California, it's a bet that centralized AI procurement can drive efficiency and cut costs across the board.

The move comes after years of anticipation and months of behind-the-scenes prep. Usernames are designed as a privacy-focused addition — letting people communicate without sharing their phone numbers.

It's a reservation system for now, not a full rollout. You grab a name, you hold it. The actual username functionality ships later. Think of it as WhatsApp's land grab moment, where early movers lock down the good handles before everyone else catches on.

For a platform built entirely around phone numbers since day one, this is a significant architectural shift. WhatsApp is finally catching up to what virtually every other messaging platform has offered for years.

The dynamic is notable. Amazon has been one of Anthropic's most important early backers, pouring billions into the startup. Now Anthropic is flexing its pricing power as it grows into a leading enterprise AI provider — even against the partner that helped fuel its rise.

Amazon exploring alternatives signals that even deep-pocketed Big Tech players have limits on what they'll pay for third-party AI. The company's own Nova models could offer a cheaper path, while tapping OpenAI would diversify its AI supply chain away from heavy Anthropic dependence.

No final decisions have been reported. Amazon is still weighing its options.

The play is straightforward: combine Rocket Lab's rocket launch services with Iridium's established satellite-based communications network. The goal? Build a vertically integrated space company that can actually compete with SpaceX.

Iridium operates a constellation of 66 satellites that currently serves 2.5 million subscribers with communications coverage. That's real infrastructure with real customers — not a pitch deck.

By owning both the rockets and the network, Rocket Lab would control the full stack from launch pad to end user. It's the kind of vertical integration SpaceX has leveraged to dominate the industry.

Whether Rocket Lab can pull off a deal this size and execute the integration is another question entirely. But the ambition is unmistakable.

The core fear: inadvertent distillation. That's when a company's own models accidentally absorb capabilities from competitor AI systems through routine usage — essentially letting rivals' intelligence leak into your own stack.

The restrictions come as Meta tries to reduce its dependency on expensive external AI coding tools. It's a tricky balancing act. Engineers need powerful coding assistants to stay productive, but leaning on competitors' products creates both cost problems and intellectual property headaches.

Meta wants to build its own AI ecosystem from the ground up. Letting Anthropic and OpenAI's fingerprints seep into that foundation defeats the purpose entirely.

Its total bitcoin stash sits unchanged at 847,363 BTC — still an absurd mountain of digital gold by any measure.

Instead of buying more coin, Strategy bulked up its USD reserves to $2.55 billion and rolled out a $1 billion digital credit buyback program. That's a notable shift for a company that has built its entire identity around relentless bitcoin accumulation.

The move raises questions about whether this is a tactical breather or something more strategic. Either way, sitting on $2.55 billion in cash while holding nearly 850,000 bitcoin gives the company plenty of optionality in either direction.

The EU's pro-competition push aims to crack open Google's dominant platforms, giving rivals more access. Google isn't buying it. The company claims the proposals carry serious privacy flaws that would put users at risk.

It's a familiar playbook: Big Tech framing regulation as a security threat. But Adkins isn't some random spokesperson — she's a senior security engineer making a specific, time-bound claim about fraud escalation.

The tension between European regulators and Google continues to escalate, with user safety and market competition pulling in opposite directions.

Academic papers and conference materials now reveal what's under the hood. LineShine runs on custom-designed 304-core Arm processors paired with high-bandwidth memory (HBM). No accelerators. No GPU crutches. Just raw CPU muscle.

That's a bold architectural bet. While the rest of the HPC world has gone all-in on GPU-heavy designs — thanks largely to Nvidia's dominance — China took a fundamentally different path. The 304-core count per chip is massive, and coupling that with HBM gives the processors the memory bandwidth typically reserved for accelerators.

The result speaks for itself: the top spot on the planet's most watched supercomputing benchmark. China just proved there's more than one way to build a beast.

Consulting and professional services companies are being pushed toward fixed-fee and outcome-based pricing models instead. The logic is simple: if AI can do in minutes what used to take hours, billing for time spent becomes absurd.

But the transition is proving painfully slow. The entire industry infrastructure — from staffing models to partner compensation — is built around tracking and billing hours. Ripping that out isn't a quick fix.

It's a fundamental identity crisis for an industry that has monetized time for decades. The firms that figure out value-based pricing first will have a massive competitive edge. The rest will be stuck defending a dying model.