“As we accelerate our use of GitHub Copilot to deliver on our goals, we all need to be aware of how we consume tokens,” Jay Parikh, an executive vice president at Microsoft said in an email to Microsoft employees. GitHub is owned by Microsoft, and GitHub Copilot is an AI coding tool. “Tokenmaxxing is not what we are optimizing for. I want all of us focused on maximizing outcomes that move the needle for our customers and our business.” “As such, we are updating our internal guidance and managing token spend with the same discipline we apply to every other critical resource,” Parikh said in the email.

Parikh’s email says that in an effort to “get greater value from our token investment” Microsoft is making OpenAI GPT-5.6, which is cheaper to use than other models, the default model for internal use. His email also links to updated internal Copilot guidelines stating that, as of July 2026, Microsoft divisions will have an “AI token budget target,” and that employees can track their individual AI spending. “While there is no target spend value being shared at this time. The data shows that many engineers spend in the range of hundreds of dollars a month to a few thousand dollars in tokens,” the guidelines say. They also say that some decisions may place further restrictions as they monitor spend.

[…] Parikh’s email said Microsoft will keep learning and adjusting its AI policies as models and products evolve, and stressed that he doesn’t want to slow down the company’s progress towards becoming “AI-first.” “We are not optimizing for fewer tokens,” he said. “We are optimizing for more impact per token.

Trump’s media venture has struggled to build a profitable social media business despite its lofty valuation. Truth Social has reported significant operating losses since going public. According to the company’s earnings report for Q1 2026, Trump Media & Technology Group netted a roughly $405 million loss and raised less than $900,000 in sales.

Not everyone agrees the arrangement meets the legal bar for insider trading. Shannon Devine, a spokeswoman for Trump Media & Technology Group, has pushed back on the characterization, telling Quartz that Truth API “offers customers the fastest way to ingest publicly available Truth Social data” and that critics “must have invented a new theory of ‘insider trading’ based on publicly available information.”

Classic insider trading law hinges on trading on secret, material information in breach of a fiduciary duty, and Truth Social posts are, by design, meant to become public within moments — raising real doctrinal uncertainty about whether faster access alone qualifies. But other legal experts argue the greater risk lies ahead. Richard Painter, former White House chief ethics counsel, has argued that the arrangement could violate federal law once Trump posts genuinely market-moving news — on tariffs, military action, or other policy decisions — before it’s public, with Truth Social effectively acting as a paid “tipper” on the president’s behalf.

The Federal Communications Commission, which oversees the U.S. telecom industry, is working on the measure to bar imports of new Chinese optical transceivers, which allow data to travel over fiber-optic cables at the speed of light within data centers. Officials hope to publish it this year, when it would take effect. The move, not previously reported, aims to prevent Chinese firms from stealing data, installing malware or disrupting service at U.S. data centers, which house the chips to train and run AI models.

The FCC could still modify or shelve the restriction, the sources stressed, speaking on condition of anonymity to discuss sensitive matters. […] A U.S. ban on new models of Chinese data center devices would likely hit China’s Zhongji Innolight, one of the biggest global sellers of transceivers, which was added to the Pentagon’s list of alleged Chinese military-backed companies in June. The list can be a harbinger of tougher action. A ban could also raise costs for American cloud firms such as Amazon Web Services, as it may force them to transition to other producers such as U.S.-based Coherent and Lumentum.

In a new filing, Apple is requesting expedited discovery from the accused OpenAI employees, senior systems engineer Chang Liu and Chief Hardware Officer Tang Yew Tan; OpenAI, and its foundation; and io, the device startup co-founded by Apple’s former lead designer Jony Ive. Apple also notes that its continued investigation has so far revealed 11 other former Apple employees beyond Liu and Tan may have been witnesses or otherwise involved in the case, and others who were previously named in the original complaint, like OpenAI employee Yu-Ting Peng.

The filing marks an escalation in Apple’s legal battle with OpenAI, as it suggests Apple has uncovered new evidence that the misconduct goes beyond the former employees named in the original complaint. “For example, another former Apple employee seems to have met with Mr. Liu and Ms. Peng in advance of Ms. Peng’s interview at OpenAI and discussed with them during that meeting Apple proprietary information relating to unannounced products,” the filing states. “Yet another former Apple employee took screenshots of confidential Apple documents relating to an unannounced Apple product before an interview at OpenAI.”

“And, after Apple filed its complaint, multiple former Apple employees now working at OpenAI reached out to discuss returning Apple-issued work devices they kept when they left Apple,” Apple claims, suggesting there were more who were possibly involved with the scheme. Apple is pushing the court to allow for expedited discovery because it believes it has good cause to suspect that there are others involved in the theft of its intellectual property. The company noted that its motion for a preliminary injunction is also pending.

Apple has launched a new legal challenge against a UK government demand to access its customers’ highly encrypted data, a year after the Home Office agreed to abandon its previous request. The US tech company launched the legal complaint last month at the Investigatory Powers Tribunal (IPT), an independent court that has the power to investigate claims that the UK intelligence services have acted unlawfully. The UK government had made a second request to Apple to grant it a “back door” to encrypted iCloud data belonging to British users, according to an order issued by the court.

Britain backed down on its original demand for access to data from UK and US customers last year, after a heated transatlantic tussle over encryption between London and Washington. UK authorities subsequently issued a new “technical capability notice” (TCN) to Apple that did not apply to American users. Apple is seeking to challenge the British government’s powers to issue TCNs under the UK Investigatory Powers Act, according to the details of the new legal case first reported by the Financial Times. […] The original TCN issued last year asked Apple for the right to see users’ encrypted data protected by its advanced data protection (ADP) program in the event of a national security risk.

Apple said the removal of the tool — which not even it can access — would make users more vulnerable to data breaches from bad actors and other threats to customer privacy. Creating a “back door” would also mean all data was accessible by Apple, which it could be forced to share with law enforcement possessing a warrant. As a result, Apple withdrew UK customers’ access to its ADP program in January 2025. The Home Office has maintained that the Investigatory Powers Act, under which such orders are issued, contains robust safeguards and is used only when absolutely necessary.

Sandisk and SK hynix have published the first open technical specification for High Bandwidth Flash (HBF) through the Open Compute Project. HBF is designed to create a new memory tier between High Bandwidth Memory and traditional SSD storage, giving AI inference systems more near compute capacity without relying entirely on expensive HBM. The specification supports capacities up to 512GB using 8-high and 16-high NAND stacks, with bandwidth tiers ranging from about 0.4TB per second to 3.0TB per second. It also uses the UCIe chiplet interface, which could make HBF easier to integrate with CPUs, GPUs, and other accelerators. Google and Tenstorrent participated in the standardization effort, but commercial products and independent benchmarks are still missing.

Midnight Blizzard, tracked internally by Microsoft under its earlier codename NOBELIUM, is attributed by the US and UK governments to Russia’s SVR (Sluzhba Vneshney Razvedki) foreign intelligence service. Microsoft’s technical analysis said compromises occurred in “several countries” without naming them, and it did not give a total number of affected venues, organisations or individuals.

A related investigation published earlier in July by security firm ReliaQuest, and which Microsoft cited in its report, found compromised captive portal gateways across multiple United States cities as well as in India and Saudi Arabia, mostly at hotels. ReliaQuest said the traffic it observed came from organizations across financial services, professional services, legal, health care, energy and retail, suggesting the campaign targets traveling employees generally rather than a particular sector.

[…] Where attackers gained a foothold, Microsoft said they deployed two main tools: CornFlake, a Windows remote access trojan (RAT) written in Go capable of keylogging, screenshot and webcam capture, audio surveillance and credential and session token theft. They would also drop ChocoShell, an in-memory PowerShell infostealer targeting browser cookies, saved passwords, Microsoft 365 single sign-on (SSO) tokens and wi-fi credentials. Microsoft also said it has seen indications the attackers might be targeting Android devices with similar prompts urging victims to download and install an APK file.

In a new bid to get the Thirty Meter Telescope (TMT) to move from Hawaii, which has blocked its construction for more than a decade, the Spanish government has put together a $1.14 billion package that would not only pay for construction on the Canary Islands, but would finance an additional half century of operations.

The package is conditional on the TMT International Observatory formally choosing La Palma as its construction site. The financing architecture has three pillars and two additional contingent instruments. The first pillar is 400 million euros (approximately $456 million USD) from Spain’s Ministry of Science, Innovation and Universities, routed through the Centre for Technological Development and Innovation (CDTI). This figure was first pledged a year ago in July 2025 as Spain’s initial bid.

The second pillar is a 300 million-euro (approximately $342 million USD) loan from the EIB [European Investment Bank] itself — subject to satisfactory completion of the bank’s technical, financial, and legal due diligence and approval by its governing bodies.

The third is a potential 300 million-euro (approximately $342 million USD) participation from the Instituto de Credito Oficial (ICO), Spain’s state development finance institution, evaluated under equivalent conditions to the EIB loan but subject to its own separate analysis. Spain’s export credit agency, Cesce, may also provide coverage instruments, and the EIB has left open the possibility of expanding its support through intermediated financing mechanisms or guarantees.

The cost of producing new results on ten longstanding mathematical problems just fell to $2,000, according to OpenAI, which says its Astra model generated machine-checkable proofs for questions that had resisted human progress for decades. OpenAI published the work on August 1 and used it to give its next major model family a name: Astra. The results run across group theory, high-dimensional geometry, coding theory, quantum complexity, lattice cryptography and extremal combinatorics. They arrived as a 249-page manuscript collection and, alongside it, something the field has not seen attached to an AI claim before at this scale: a machine-checkable certificate for every single result.

The problems were not textbook exercises dressed up as discoveries. Each had been open for at least ten years, most of them far longer, and several sit at the center of their subfields:
- A construction establishing the existence of non-sofic groups, a question that has occupied group theorists for years.
- A disproof of Connes’s rigidity conjecture, a long-standing problem in the theory of von Neumann algebras.
- An improvement to the general upper bound on sphere-packing density in high dimensions, a bound that had stood since 1978.
- Three problems come from the catalogue of open questions left behind by Paul Erdos.

Earlier this summer, nearly 160,000 applicants took the entrance exam for UNAM, Mexico’s largest university. For the first time, they did it completely remotely, using a “lockdown” browser and AI-powered webcam proctoring software, over several weeks from late May through early June. It was a disaster. When exam results came in, they bore little resemblance to past results, especially at the top. Between 2021 and 2025, 3.5 percent of test takers scored 100 or more on the 120-question UNAM test. This year, 16.3 percent did so. The story was even worse at the highest of the high end. Between 2021 and 2025, 0.9 percent of test takers scored 110 or more; this year, 5.5 percent did so.

The surge in top scores led to accusations of widespread cheating, and UNAM appointed a commission of experts to investigate the situation. The group was given the unwieldy name “la Comision Tecnica de Personas Expertas para la Revision del Proceso de Seleccion de Ingreso a Licenciatura para el Circlo Escolar 2026-2027/1,” and it has just submitted its recommendations. The commission believes that the best path forward, given all the concerns, is to administer a “control exam” — that is, applicants will have to sit for another test, and they will do so in person.

This control exam will apply not only to those who secured a spot at UNAM based on this year’s test but also to everyone who would have been admitted based on minimum successful scores in their program of study since 2021. About 58,000 people could be affected, and places at UNAM will now depend on the results of the new test. (Details on the control exam should appear soon; classes are currently scheduled to begin on August 10, so everything will have to move quickly unless the school decides to delay classes.) According to Gaceta UNAM, the school’s official news publication, the university rector has apologized to honest applicants, since they will now have to prepare for and take the test again despite doing nothing wrong. Still, the control exam is “necessary to give certainty and guarantee equity in access,” the rector added.

Apple’s commentary highlighted some large district deployments moving to Neo Pinellas County Schools, one of the largest districts in Florida, which is moving its 25k students off Windows and onto MacBook Neo across its 18 high schools. In Washington, Peninsula School District 401 moved over its 8,000 students from Chromebooks to MacBook Neo. Midwest City-Del City School District in Oklahoma purchased more than 6,000 MacBook Neos to become an all-Apple district for students.

With 360 games, developers can opt into making them backward compatible, and they will have control over things like a game’s price and if it’s available on Game Pass. The feature is expected to have a “gradual” rollout between 2027 and 2028 “across next-gen devices.” The “full launch” of original Xbox games on PC is also set for October 2026; the initial program announced in July included just four games.

The document also includes details about a way for players to get a digital version of a game that they already own on a physical disc, which The Verge’s Tom Warren reported on in July. The document says that if a player puts an Xbox One or Series game on disc into an Xbox One or Series X console with a disc drive, they’ll be granted a digital license that’s bound to “that disc and the player’s account.” The license will stay with a player across Xbox devices, but if the disc “changes hands,” the license will transfer to the new person. That should mean that gamers can still trade and sell discs; once the original owner of a disc does so, they can’t play the digital version they got from that disc anymore.

According to the document, a public beta for the disc-to-digital program was set for July with general availability set for August. We understand Microsoft had originally planned to test its disc-to-digital program with Xbox Insiders in July, but the beta was delayed. It’s unclear if the timeline of August general availability is still accurate.

During Microsoft’s 2026Q4 earnings call, CEO Microsoft Satya Nadella took time to tout a dashboard he personally created using AI from a Morgan Stanley analyst’s PDF research report, which suggested a rosy payback for the so-called MAG7’s (‘Magnificent 7’ companies) massive capital expenditures on AI (to which Nadella later added a “not financial advice” disclaimer). “It would be fun for you, Adam. I think one of your colleagues put out an ROIC [Return on Invested Capital] document. I took that document to Copilot, which is a PDF, and I said, ‘Build me a new Power BI dashboard, essentially.’ But here is the thing. It built a rich semantic model that went into my Fabric with OneLake that brought all the data in from the external sources. In fact, it was current with all the SEC filings of all the MAG7. And then on top of that, the repo itself is in GitHub, but the artifact is sitting in my Copilot as a site. That, to me, is a classic example of an enterprise-wide workflow. I, as a knowledge worker, could go create a dashboard. The data engineer can go to Fabric and find the artifact. The professional developer can go to the repo and find it in GitHub. And by the way, it’s all registered with Agent 365. That’s a little bit of what Amy is describing as the coming together of a new way to work, even while at the same time, bringing IT, security and manageability of it.”

After Nadella’s show-and-tell drew an underwhelming response during the call (“That’s very helpful. Thank you.” said the Morgan Stanley analyst whose team’s work Nadella scraped with AI), Nadella turned to social media with posts on LinkedIn (12M followers) and Twitter/X (8M followers) to make the case for why his DIY project was such a brilliant demonstration of how AI enables governance, controls, security, development, testing, deployment, maintenance, data analysis/modeling, visualization, usability, and value. “Some more detail on the ROIC Intelligence App I built yesterday and mentioned on today’s earnings call,” Nadella wrote on LinkedIn. “I took the PDF that Brian Nowak at Morgan Stanley put together for Hyperscale ROIC this week and used Copilot code (coming in our new superapp) with a single prompt + skill (/drill-me) to create the plan, then used autopilot in auto to create the full app (with history, lookups, scenarios, what-ifs, etc). And /rubber-duck to test. And the best part is that all the artifacts are in my enterprise environment. My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric. And everything is under Agent 365 IT/Sec/FinOps control! So this is not about Tokenmaxxing or vibe coding. Every step of the way the rails are engineered to create value, making everything a long-term reusable asset, with governance/security, and cost controls. This is the full system to drive business value. Disclosures: This is all pulled from public sources, and for illustrative purposes only…not financial advice! :) Here is the app and architecture…”

Not unexpectedly, the accompanying screenshot of a splash page for the BI app and a buzzword-laden complicated architecture diagram drew universal praise from LinkedIn fans, but also a few barbs from less-than-impressed commenters on Nadella’s Twitter/X post, some of whom suggested Nadella’s project might even represent a jump-the-shark moment for AI mania. “That he doesn’t see whats wrong with saying ‘My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric’ is exactly why MS is failing at AI,’" replied @PassingPixels on X/Twitter. “Dude is having to run 5 different systems to emulate babies first vibe code.” @zigmund_ignatov added, “Why do we call glorified slide show an app?” @Mathupiriyan quipped, “Looks like Copilot just turned a PDF into a profit crystal ball.” Unimpressed, @Markusndnb remarked, “So you created a web page using tons of proprietary MS tools.” And @FishyAccounting called on Nadella to show-his-work, saying “Post the prompt or it didn’t happen.” (btw, Microsoft President Brad Smith similarly declined to provide the prompt for his own self-described amazing AI DIY reporting project that he touted at Microsoft’s Shareholder Meeting last December).

So, does Nadella’s self-promoted AI reworking of someone else’s PDF research report strike you as an amazing example of everything that’s good about AI, or does it conjure up memories of The Emperor’s New Clothes?

Apple files get mixed in with employees’ accounts because the company encourages them to use their personal Apple Accounts with their work iCloud account. Employees are given a 2TB iCloud plan and are able to merge the storage with their existing Apple Account or create a new account. Since only one primary account can be signed in at a time, most opt to use their existing account to avoid having to carry two iPhones. Apple has a managed folder for workplace files that it revokes access to when an employee leaves, but some internal documents aren’t saved there automatically and shared files end up mixed in with personal content. Employees can also retain access to iMessage chats and files shared via the Messages app.

Lingering access to Apple systems is central to Apple’s lawsuit against OpenAI. In its filing, Apple alleged that former employee Chang Liu breached Apple’s systems using a “rare, previously unknown authentication bug” to download files while he was working at OpenAI. Apple told The Information that the OpenAI lawsuit is unrelated to any files left available on iCloud and that it does not pursue legal claims against former employees who accidentally have Apple documents in their personal iCloud accounts. “This case is about OpenAI employees wrongfully taking Apple’s secret and confidential information regarding our unreleased technologies, processes, and products. Nothing in the filing relates to documents shared by, or stored in, iCloud.”

Several popular Samsung smart TV apps contain code that share the owner’s internet connection with strangers, potentially putting millions of Samsung smart TVs at risk of hijacking, according to new security research published on Monday. Some of these apps claim to have been installed on hundreds of millions of smart TVs in people’s homes, per the app developers. At least one of the smart TV apps was a simple Pac-Man game that Samsung had endorsed and prominently featured in its “Editor’s Choice” section on customers’ TV screens. These apps contain software that funnels outsiders’ web traffic through ordinary home and office internet connections, known as residential proxy networks (or “resproxies”), which are increasingly being linked to cybercrime. When opened, apps with resproxy code can turn the smart TV into an always-on tunnel for outsiders to funnel their web traffic through, known as an exit node — even when the app is no longer open.

The security research by Norwegian cybersecurity company Mnemonic describes a perfect storm of problems that allows low-quality apps to proliferate across Samsung’s app store, containing code that puts users at risk of having their internet connections tapped by a rogue app. Many of these apps are bare-bone shells, made from only a few lines of code, and are designed solely to load content from another website, such as a game. While such smart TV apps load content from another server, any review of these apps sees only the few lines of code within, and not necessarily the content itself. “What was reviewed is not necessarily what is running,” wrote Harrison Sand, an offensive security consultant at Mnemonic.

After TechCrunch contacted Samsung with a request for comment about the research, the electronics giant said in an emailed statement that it was banning apps that share their users’ internet connections, and will remove apps that contain the functionality. “We have already restricted new app registrations that incorporate such proxy functionalities on our Smart TV platform,” said a Samsung spokesperson. “We are currently implementing strict platform-wide developer policies explicitly banning residential proxy SDKs, and we are working to identify and remove all apps currently available in our store that contain these components.”