分类： technology

One of the gaming industry’s most anticipated releases in history, Grand Theft Auto 6 from developer Rockstar Games, has finally seen its pricing, pre-order schedule, and distribution details confirmed, drawing mixed reactions from fans and industry experts alike.

The studio announced this week that the standard edition of the hotly awaited title will carry a price tag of $79.99, while the premium-tier Ultimate Edition will retail for $99.99. Regional pricing for markets including the UK has not yet been released, and the BBC has requested full regional pricing details from Rockstar. Scheduled for a November 19 launch exclusively on PlayStation 5 and Xbox Series X/S consoles, pre-orders for the game will open at local midnight on June 25. The blockbuster title is widely tipped by industry analysts to be the most expensive video game ever produced.

A controversial detail that has dominated early fan discussion is Rockstar’s distribution model for physical copies: all boxed retail versions will include only a digital download code, rather than a game disc inside the packaging. Pre-loading for both digital pre-orders and physical version buyers will go live on November 12, allowing users to have the game ready to play immediately at launch. The higher-priced Ultimate Edition will come with exclusive in-game bonuses including additional vehicles, weapons, and character outfits.

Reactions to the announcement have split across two key points: pricing and the disc-free physical model. Fan reaction to the $10 increase from the standard $70 price point for most modern AAA blockbusters has been relatively muted, with many players noting that the incremental jump is not a prohibitive burden. That said, some have expressed concern that this price point could set a new industry-wide standard that pushes game costs higher across the board. When GTA 5 launched in 2013, its standard edition retailed for $59.99, highlighting the gradual upward shift in game pricing over the past 13 years.

The decision to omit physical discs from boxed copies has drawn sharper criticism, particularly from game collectors. Freelance gaming journalist Vic Hood notes that the change is likely to frustrate enthusiasts who build physical game libraries, but added that the choice is a logical one for Rockstar. By requiring a unique download code tied to a user’s account, the studio cuts down on secondary market resales and reduces the risk of early game content leaks ahead of launch. Fans have raised questions about whether the disc-free physical copies can be resold or shared like traditional disc-based games, with no official answer from Rockstar yet.

Industry analysts frame the pricing model as a shrewd business move for Rockstar and its parent company Take-Two Interactive. Joost van Dreunen, a professor of gaming business at NYU Stern, explained that the two-tier pricing structure allows the publisher to serve a broad general audience with the standard edition while offering premium content to dedicated franchise fans willing to pay extra. Hood added that if GTA 6 succeeds at the $80 price point, it is likely to trigger a wave of similar price increases from other major AAA studios, as production costs for large-scale games continue to climb.

The road to GTA 6’s launch has been anything but smooth for Rockstar. Following the record-breaking success of GTA 5, which has sold nearly 230 million copies and generated billions in revenue since 2013, fans waited nearly a decade for confirmation of a sequel. Rockstar officially announced development on GTA 6 in February 2022, after the COVID-19 pandemic disrupted early production timelines. The project suffered a major setback in 2022 when a high-profile hack leaked thousands of in-development assets online, forcing the studio to push back its initial release window. The launch was delayed a second time in late 2025, with the current November 2026 release date confirmed earlier this year. Beyond production challenges, Rockstar has also faced internal controversy in recent years, with workers at its Rockstar North headquarters in Edinburgh claiming the studio illegally fired staff to prevent union organizing efforts.

When GTA 6 finally launches, it will bring a historic first for the long-running Grand Theft Auto franchise: it will feature Lucia, the franchise’s first playable female protagonist in a 3D open-world setting, who partners with co-lead character Jason for the game’s crime-focused narrative.

A growing legal reckoning over social media’s harmful impact on children’s mental health gained a new development this week, as Google-owned YouTube has reached an amicable settlement in a youth addiction lawsuit filed by a 15-year-old plaintiff from Florida. The case marks the latest in a string of legal defeats and settlements for major tech platforms facing hundreds of claims that they deliberately designed their services to hook underage users, exacerbating a widespread youth mental health crisis across the United States.

The minor, identified only by the initials R.K.C. in court filings to protect his privacy, brought allegations against YouTube and multiple other leading social media companies, claiming that their platform design choices intentionally fostered compulsive, addiction-like usage patterns. In a brief statement shared with the BBC, Google spokesperson José Castañeda confirmed that the dispute had been resolved without further litigation, noting that the company remains focused on developing age-appropriate products and robust parental control tools to meet its safety commitments to families.

YouTube’s settlement does not end R.K.C.’s legal campaign against big tech: the teen is still pursuing claims against Instagram parent Meta, ByteDance-owned TikTok, and Snap Inc. That combined trial is scheduled to open on July 27 in Los Angeles, overseen by Los Angeles Superior Court Judge Carolyn Kuhl. This proceeding is the second bellwether trial in a coordinated judicial effort to resolve more than 1,000 similar youth mental health and addiction claims consolidated in California courts.

The first bellwether trial concluded earlier this year, delivering a landmark ruling against major platforms. The plaintiff, 20-year-old K.G.M. from California, brought parallel claims that Meta and YouTube had deliberately designed their platforms to addict young users. Like the current case, both Snap and TikTok reached confidential out-of-court settlements with K.G.M. before the trial began. Ultimately, a jury delivered a historic verdict finding Meta and YouTube liable for the mental health harms the plaintiff experienced, awarding her $6 million in damages.

That same week, a separate jury in New Mexico ordered Meta to pay $375 million in damages for deceiving users about the safety of its platforms for minor users. According to court documents, R.K.C.’s allegations mirror the arguments that proved successful in the first bellwether trial. He specifically claims that algorithm-driven features such as infinite scroll and automatic content playback, which continuously serve new content to users without requiring active input, pushed him into compulsive usage that developed into addiction. The behavior caused lasting harms including chronic anxiety and severe sleep deprivation, among other health issues.

In a joint statement following YouTube’s settlement, R.K.C.’s legal team, led by attorneys John Morgan and Emily Jeffcott, doubled down on their core critique of big tech practices. “As jurors saw in the first bellwether trial, leadership at these social media companies have been strategizing for years to hook children early and maximize their usage,” the statement read.

Google has repeatedly pushed back against claims that it fails to prioritize youth safety, noting that the company has worked for more than a decade to build responsible YouTube experiences in partnership with families. In 2015, the company launched YouTube Kids, a standalone, curated version of the platform designed exclusively for minor users. Just last month, YouTube also reached a settlement in another impending trial, brought by a Kentucky school district that accused the major platforms of creating a youth mental health crisis among its student body. All four companies named in that suit — YouTube, Meta, Snap and TikTok — opted to settle rather than proceed to trial. The school district had sought two key outcomes: changes to the allegedly addictive platform design features, and compensation for the costs districts have incurred supporting students dealing with anxiety, depression, and even self-harm linked to compulsive social media use. That trial was set to open in mid-June at the U.S. District Court in Oakland, California, as part of a large multi-district litigation (MDL) encompassing thousands of similar claims across the country. The next scheduled trial in this federal MDL, brought by a coalition of U.S. states against Meta, is set to begin in the same Oakland court this coming August.

Nestled in the heart of Silicon Valley, Stanford University has long stood as the global cradle of technological innovation, counting the co-founders of Google, dozens of AI industry pioneers, and countless breakthrough inventions among its storied legacy. This year, however, as the institution welcomed one of its most famous alumni—Google CEO Sundar Pichai—to deliver its 2026 commencement address, the campus became the backdrop for a raw, public reckoning with the technology that Stanford helped bring to life: artificial intelligence.

Across American college commencement ceremonies this year, a clear message has emerged from graduating cohorts: top speakers have been warned to avoid the topic of AI, and those who broach it have often been met with vocal pushback. Even former Google CEO Eric Schmidt faced boos from audiences when he referenced the technology at other graduation events. For Pichai, whose company is one of the world’s leading AI developers, the writing was on the wall before he took the stage. He opened his address with a lighthearted joke, noting that every person he spoke to had given him the same guidance: avoid AI. Even with that self-censorship, more than 200 students stood in unison, shouted chants for Palestinian liberation, and walked out of Stanford Stadium mid-speech.

The protests were not rooted solely in anxiety over AI’s societal impact. Many demonstrators carried signs calling out Google’s controversial Nimbus contract, which provides AI tools to the Israeli military, and decried the tech giant’s past partnerships with U.S. Immigration and Customs Enforcement (ICE), referencing the agency’s harsh, often deadly immigration enforcement actions under the Trump administration. After the walkout, the group relocated to an alternative campus commencement headlined by prominent pro-Palestinian activist Mahmoud Khalil, who gained global attention during 2024 Gaza war protests at Columbia University when ICE attempted to deport him despite his legal permanent resident status. Pichai, who earned his master’s degree from Stanford, declined to comment on the protest when approached by the BBC after the ceremony.

Stanford occupies a unique space in the global AI ecosystem. The term “artificial intelligence” itself was coined on campus by pioneering computer scientist John McCarthy in 1955, and the university has incubated generations of AI leaders, from OpenAI CEO Sam Altman to Fei-Fei Li, often called the “Godmother of AI” who currently serves as a Stanford professor. Today, the $400,000 price tag for a four-year undergraduate degree at Stanford remains widely seen as a golden ticket to top roles in the tech industry, and major firms headquartered within 15 miles of campus—including Google, Apple and Meta—still scout the institution for top talent annually, admitting less than 4% of tens of thousands of annual applicants. For this graduating cohort, who entered as undergraduates in 2021—just one year before OpenAI’s ChatGPT upended daily life and work around the world—AI is not an abstract future concept: it is an immediate, transformative force that is already reshaping their career prospects, education and worldview.

In interviews with the BBC shortly after Pichai’s address, graduating students expressed a wide spectrum of views on AI, from cautious optimism to deep dread, but nearly all agreed that the technology’s impact is already unavoidable. For Ifdita Hasan, a computer science and AI major, AI is a tool that unlocks unprecedented opportunity for scientific exploration and progress. “I feel optimistic about AI. I think AI gives us the opportunity to learn more about the universe. It’s a tool that people should try to use and try to adapt to,” she said. Hasan added that she is not surprised by the widespread backlash, noting that early societal anxiety is a common response to every transformative emerging technology—including the internet, which faced similar skepticism in its early days. “But I would encourage people to be optimistic about AI—to try to learn and explore more,” she said.

Other students are far less sanguine, particularly as they enter a job market already being upended by AI adoption. A 2025 Stanford study found that employment for early-career U.S. workers has dropped sharply in fields most vulnerable to AI disruption, including software development, and a recent analysis from the Federal Reserve Bank of New York confirmed that recent graduates across the country are already struggling to secure stable employment. Atash Heil, an Earth Systems major focused on environmental policy, says the speed of AI’s advancement over the past four years has been jarring. He described a recent visit to an AI art exhibit as a deeply unsettling experience, days before his own graduation. “I thought it was scary, especially on my graduation day, to see that. The future is… that? I want art to be made by humans. That’s what makes it art, right?” he said. Like many of his peers, Heil criticized the unregulated, ethics-free approach that many major AI companies have taken to rolling out new tools: “It has to be done ethically, and it’s not being done ethically these days.” Even so, Heil, who will soon start a role working on climate resilience in New Orleans, acknowledges that AI can be a force for good—including helping build more accurate climate prediction models to guide adaptation work.

Lucy Zimmerman, a computer science major who worked as a teaching assistant during her time at Stanford, has witnessed AI’s impact on education first-hand. She says she has noticed a clear gap between the polished take-home assignments students submit—many of which she suspects are completed with AI assistance—and their performance on in-person, proctored exams. In response, many departments have already reinstated in-person exam proctoring and oral assessments to curb AI-assisted cheating. Zimmerman also expressed concern about the rise of “cognitive offloading,” the growing practice of relying on AI to complete problem-solving and critical thinking tasks that build core cognitive skills. “I’m worried about future generations, and for my generation,” she said. Despite these concerns, Zimmerman will soon start a role as a software engineer at a San Francisco tech startup, putting her at the center of the ongoing AI boom.

Colbey Harlan, a psychology major, echoed this mixed outlook. He has used AI to help jumpstart creative writing projects, and found it particularly helpful for managing his ADHD. Even so, he worries about the hidden environmental cost of AI’s rapid expansion: data centers powering large language models consume massive amounts of energy and natural resources. “I’m not a fan of how it’s destroying the environment. Data centres are taking a lot of resources, a lot of energy,” he said. “I’m kind of at a point where it’s like – ‘Okay, AI is cool, but can we just stop progressing it?’ because if we continue, things are going to get out of control.”

For many graduates, the uncertainty of AI’s long-term impact is part of what makes this moment so charged. Management Science and Engineering graduate Harry Kaplan, who participated in Stanford’s annual Wacky Walk graduation tradition carrying an inflatable palm tree, described Stanford as the global center of tech innovation, and said the institution’s legacy of breakthroughs is a source of pride for the graduating class. Still, he said it is too early to know what AI’s long-term impact will be on his career and generation. “It’s an exciting place to be. It feels like we’re at the edge of something,” he said. For this cohort of Stanford graduates, standing at that edge means navigating both the unprecedented opportunities and existential risks of a technology that will define the rest of their lifetimes.

In a revealing disclosure from its latest annual filing, American tech giant Oracle has confirmed it eliminated approximately 21,000 global positions over the past 12 months as it refocuses its entire business strategy around artificial intelligence. The software and cloud computing leader reported holding 141,000 full-time staff as of May 31, 2026, a sharp drop from the 162,000 employees it employed at the same point in 2025. The 13% workforce reduction marks one of the largest rounds of layoffs in the tech sector this cycle, and aligns with a sweeping industry trend as major technology firms pour hundreds of billions of dollars into developing and expanding AI-capable infrastructure such as high-performance data centers.

Oracle explicitly noted in its filing that the integration of AI tools across its internal operations has driven these headcount cuts, and cautioned that additional workforce reductions may still be on the horizon. While senior insiders had shared reports of major layoffs on professional social platforms back in April, the full scope of the cuts had remained undisclosed until the annual report was submitted to regulators. The company has incurred roughly $1.8 billion in severance payouts and other restructuring costs over the past year, a massive jump from the $374 million in restructuring expenses it recorded in the prior fiscal year.

Oracle acknowledged that its organizational overhaul carries tangible risks. In its filing, the firm warned that the restructuring process can be disruptive to operations, and that it may face shortages of skilled workers for critical roles, leading to temporary productivity dips that could ultimately impact bottom-line earnings. When contacted by the BBC, a company spokesperson defended the strategy, stating: “As our cloud and AI businesses grow, we will continually balance our resources and restructure our development group to help ensure we have the right people delivering the best cloud and AI products to our customers around the world.”

Oracle is currently locked in a high-stakes race to expand its data center capacity to serve leading AI developers including OpenAI and Meta. Earlier reporting from the BBC has confirmed the firm plans to invest at least $50 billion in new infrastructure this year alone. Founded in 1977 by Larry Ellison, who remains one of the world’s wealthiest individuals and still serves as Oracle’s chief technology officer, the company has long been a major player in enterprise software and cloud services.

Oracle’s layoffs are far from an isolated case. Tech rivals including Amazon and Meta, the parent company of Facebook, have both cut thousands of jobs in recent months as they redirect capital toward AI development. Employment trackers estimate that more than 100,000 tech workers have lost their jobs across the industry in the past 12 months. For most large tech firms, labor represents the single largest operating expense, making headcount reductions the most straightforward way to free up capital for AI investments. This year alone, Google, Amazon, and Meta have committed a combined total of roughly $650 billion to AI research and infrastructure expansion.

Amazon currently plans the largest AI investment out of any major tech firm, with a $200 billion budget for AI projects and infrastructure over the next 12 months. The e-commerce and cloud giant, which employs more than 1.5 million people globally, has already cut around 30,000 jobs through multiple rounds of layoffs. In an internal memo sent to staff last October, a senior Amazon executive explained the restructuring, noting that the company needed to become “more leanly” organized because AI is “enabling companies to innovate much faster than ever before.”

The U.S. National Highway Traffic Safety Administration (NHTSA) has opened a formal special investigation into a fatal June 19 Tesla crash in Texas that left a 76-year-old woman dead after the vehicle plowed into her home, marking the latest high-stakes scrutiny of the electric vehicle maker’s controversial automated driving technology.

According to local law enforcement accounts, the incident unfolded around 8 p.m. local time when the Tesla Model 3 driver failed to navigate a right turn at an intersection, departed the roadway, and struck the residential property at high speed. The driver was taken to a local hospital for treatment of injuries and has remained cooperative with authorities, while the woman inside the home was transported to a medical center where she later succumbed to her trauma.

Local police have confirmed the driver showed no signs of intoxication, but has maintained that the vehicle was operating under Tesla’s full self-driving (FSD) assisted driving system at the time of the collision. Sgt. Alex Turman of the Harris County Sheriff’s Office noted that investigators are still working to pinpoint the exact cause of the crash, with the driver’s claim about automated system engagement a key line of inquiry.

A NHTSA spokesperson confirmed the launch of the agency’s special crash investigation, the most rigorous, data-driven inquiry the regulator conducts, separate from the ongoing local law enforcement probe. Per NHTSA’s official protocols, these deep dives typically focus on emerging vehicle technologies, with the goal of collecting granular crash data that can inform broader automotive safety improvements. While the investigation does not carry immediate punitive action against Tesla, it can ultimately result in formal safety recalls or other regulatory measures.

This latest probe comes amid growing bipartisan and regulatory pressure over Tesla’s FSD technology, which the company has marketed as an advanced automated driving system. Critics have long argued that Tesla’s branding of the product is misleading, overstating the system’s capabilities and leaving drivers underprepared to intervene when the technology fails. Earlier this 2026, NHTSA already expanded an existing investigation into FSD over documented performance issues in wet and inclement weather. Just last week, two top Democratic U.S. senators, Edward Markey and Richard Blumenthal, sent a formal letter to NHTSA demanding a sweeping safety probe of FSD, arguing that Tesla’s claims that the technology is safer than human driving rely on flawed, misleading data analysis that skews results by comparing dissimilar crash outcomes and drawing on incomplete datasets. The pair also called for stricter reporting requirements for all automakers developing and deploying automated driving systems.

Tesla, led by billionaire CEO Elon Musk, has not issued any public statement on the Texas crash or the new NHTSA investigation, and did not respond to requests for comment. This latest incident comes as automated vehicle developers across the industry face growing regulatory scrutiny over safety: just weeks ago, Waymo, the autonomous vehicle unit owned by Google, recalled thousands of its vehicles operating in Texas over a flaw that prevented the system from properly identifying and avoiding flooded roadways.