Breaking AI & Tech News Analyzed

A 20‑year‑old male was taken into custody by the San Francisco Police Department (SFPD) after a Molotov cocktail was hurled at the North Beach residence of OpenAI chief executive Sam Altman in the early hours of Friday, around 4 a.m. local time (11:00 GMT). The incendiary device ignited part of an exterior gate before the suspect fled on foot.Police confirmed that the suspect was located about an hour later, approximately 4.8 kilometres (three miles) from the scene, near OpenAI’s headquarters, where he allegedly threatened to set the building ablaze. No injuries were reported.OpenAI released a statement thanking the SFPD for its rapid response and emphasizing that the company is fully cooperating with investigators. “Thankfully, no one was hurt,” the spokesperson said, adding that the incident highlights the need for continued vigilance in protecting employees.The attack arrives amid a wave of security concerns targeting OpenAI’s facilities. In November, a separate threat prompted a temporary lockdown of the company’s San Francisco office, and activists have increasingly singled out Altman and OpenAI for the perceived risks associated with advanced artificial intelligence.Critics also point to OpenAI’s recent partnership with the U.S. Department of Defense, arguing that the collaboration intensifies scrutiny of the firm’s role in military technology. Public sentiment toward AI remains divided; a recent NBC News poll indicated that AI is viewed less favorably than the U.S. Immigration and Customs Enforcement agency.Despite the controversy, OpenAI’s growth trajectory remains robust. The company announced a valuation of $852 billion following a funding round that raised $122 billion. Its flagship product, ChatGPT, continues to dominate the consumer AI market with over 900 million weekly active users and roughly 50 million subscribers. Usage of OpenAI’s search features has also tripled over the past year.While the motive behind the Molotov attack remains unclear, the incident underscores the escalating security challenges faced by leading AI firms operating at the intersection of technology, public policy, and national defense.

Tens of thousands of people have been hired by Scale AI – a firm 49% owned by Meta – to train artificial‑intelligence models by scraping Instagram accounts, harvesting copyrighted artwork and transcribing pornographic soundtracks, according to the Guardian.Scale AI promotes its Outlier platform as a flexible, expert‑driven marketplace, recruiting professionals from medicine, physics and economics to "become the expert that AI learns from."Workers, however, say the reality diverges sharply from high‑level model refinement. They describe tasks that involve massive personal‑data scraping and content that many find morally uncomfortable.Outlier is managed by Scale AI, which holds contracts with the U.S. Pentagon and other defense companies. Its chief executive, Alexandr Wang, is hailed by Forbes as the world’s youngest self‑made billionaire, while former managing director Michael Kratsios served as science adviser to former President Donald Trump.One contractor noted that users of Meta platforms would be shocked to learn their photos and friends’ images are being harvested for AI training, with workers manually reviewing profiles to extract data.The Guardian interviewed ten Outlier contributors – many also journalists, graduate students, teachers or librarians – who took the gig work out of economic desperation. One said, "A lot of us were really desperate" and felt compelled to accept the unstable, low‑pay assignments.These gig workers, dubbed “taskers,” often feel they are training their own replacements, expressing “internalised shame and guilt” over contributing to the automation of creative professions.Law firm Clarkson, representing AI gig workers, estimates that hundreds of thousands of people worldwide now labor on platforms like Outlier. Taskers report bait‑and‑switch recruitment tactics, where advertised high salaries are replaced by lower‑paid projects after onboarding.All contributors are monitored through a tool called Hubstaff, which can screenshot browsers to verify work. While Scale AI claims the software is only for accurate payment, workers describe it as constant surveillance.Assignments have ranged from transcribing pornographic audio and labeling photos of dead animals or dog faeces, to annotating diagrams of infant genitalia and violent police scenarios. One doctoral student recounted being promised “no nudity” only to receive explicit porn clips.Scale AI says it shuts down any task flagged as inappropriate and does not accept projects involving child sexual‑abuse material or pornography, though workers note that publicly available images of minors have been used for training.Social‑media scraping tasks required workers to tag individuals by name, location and age, sometimes pulling data from accounts of users under 18. One task asked contributors to order Facebook photos by the subject’s age, prompting ethical unease.In addition to personal data, taskers were asked to harvest copyrighted artwork, with strict instructions to avoid AI‑generated images and select only hand‑drawn pieces. Scale AI maintains it does not ask workers to violate copyright standards.Scale AI’s client list includes major tech firms such as Google, Meta and OpenAI, as well as the U.S. Department of Defense and the government of Qatar, highlighting the growing demand for labelled data as AI models scale.Some workers reported interacting with ChatGPT and Claude, and speculated they might be training Meta’s upcoming model, code‑named “Avocado.”OpenAI announced it ended its partnership with Scale AI in June 2025, citing its supplier code of conduct that mandates ethical treatment of all workers.Despite irregular pay, occasional mass layoffs and the unsettling nature of many tasks, many taskers remain on the Outlier platform, hoping the AI future will eventually improve conditions. One said, "I have to be positive about AI because the alternative is not great."In response, a Scale AI spokesperson stated, "Outlier provides flexible, project‑based work with transparent pay. Contributors choose when and how they participate, and we regularly hear from highly skilled contributors who value the flexibility and opportunity to apply their expertise on the platform."