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The future of Hollywood isn't feeding prompts into vanilla gen AI models
Despite claims that generative AI will transform filmmaking, no AI-made project has yet felt like entertainment people would pay to see, according to The Verge. Most AI video models still produce only short bursts of visually inconsistent footage, and some of Hollywood's biggest AI partnerships have suddenly evaporated. The article points instead to custom-trained models, citing concept art from Dear Upstairs Neighbors used to train custom builds of Google's Veo and Imagen, as a more promising direction than feeding prompts into off-the-shelf generative AI.
Our new community investments in Virginia support local jobs and expand energy affordability.
Google announced a $15 million Energy Impact Fund to lower utility bills for Virginia households and tied the state to a $50 million national workforce program that will fund electrical apprenticeship training. The company set a goal of preparing an additional 2,741 apprentices in Virginia by 2030, a move state officials say will grow the local electrician pipeline by 135 percent. The investments extend a $9 billion cloud and AI infrastructure commitment Google made in 2025 and build on a presence the company has held in Virginia for more than a decade.
How a Google DeepMind Spin-off Hunts Hidden Drug Targets
Isomorphic Labs, the Google DeepMind spinout behind AlphaFold, has built an AI system called the Isomorphic Drug Design Engine (IsoDDE) that hunts for hidden binding sites on proteins where new medicines might attach. The company raised $2.1 billion in funding, one of the largest biotech rounds ever, and signed drug-discovery deals with Novartis and Eli Lilly. Its engine predicts not only where a drug molecule binds to a protein but how tightly it binds, including pockets that stay invisible until the right molecule arrives. The work shows AI moving past structure prediction toward the harder task of designing real drugs.
The Crunchbase Tech Layoffs Tracker
More than 127,000 workers at U.S.-based technology companies lost their jobs in 2025, according to a running tally kept by Crunchbase News, and the cuts have carried into 2026. The deepest reductions came from established giants, with Intel eliminating 27,159 roles, Microsoft 15,387 and Amazon 14,709. Crunchbase ties much of the wave to cost cutting and a shift of hiring budgets toward AI development and automation. The tracker logs new company reductions week by week, including 4,375 employees affected in the seven days ending June 10, 2026.
Microsoft, like, totally gets why students are booing AI-pilled graduation speakers
Across spring 2026 commencements, new college graduates booed and heckled speakers who praised artificial intelligence, including former Google CEO Eric Schmidt at the University of Arizona. Microsoft vice chair and president Brad Smith responded with a blog post running more than 3,000 words, calling the reaction a wake-up call for the tech industry and asking graduates to adapt rather than resist. Critics note the essay offered sympathy and historical analogies but no concrete commitments on jobs, retraining, or the pace of AI rollout.
Microsoft AI head calls out Anthropic for acting like Claude is conscious
Microsoft AI CEO Mustafa Suleyman says it is dangerous for Anthropic to speculate about whether its Claude chatbot is conscious, especially when that speculation sits inside Claude's "constitution," the written instructions that shape how the model behaves. Speaking on The Verge's Decoder podcast, Suleyman argued that Anthropic's staff have humanized Claude so heavily that the design has, in his words, "wireheaded" them into believing the model shows glimmers of consciousness. Anthropic has openly stated it does not know whether its models are conscious and has built a model welfare program around that uncertainty. The clash marks one of the sharpest public splits between major AI labs over how to talk about machine minds.
Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI
Amazon Web Services published a technical walkthrough showing how robotics teams train robot control software on Amazon SageMaker AI using NVIDIA Isaac Lab, a GPU-accelerated simulation framework. The example teaches a Unitree H1 humanoid robot to walk across rough, computer-generated terrain by coordinating its 19 joints, running 4,096 simulated robots in parallel on 8 GPUs. AWS offers two ways to run the work, a persistent managed cluster called SageMaker HyperPod and on-demand SageMaker Training Jobs, both built from one shared container image.
Microsoft AI chief walks back comments about AI taking over white-collar work
Mustafa Suleyman, the CEO of Microsoft AI, has softened his earlier warning that AI would automate white-collar work. On the June 8 episode of The Verge's Decoder podcast, he drew a distinction between automating tasks and replacing jobs, saying tools will handle pieces of work such as drafting an email or building a PowerPoint while the role itself stays. The clarification follows a February prediction that drew widespread worry among lawyers, accountants, and project managers.
AI Can Help Track the World's Shrinking Glaciers
Researchers at Friedrich-Alexander University of Erlangen-Nuremberg (FAU) in Germany have shown that a deep learning model can track the retreating edges of glaciers almost anywhere on Earth after seeing only a single hand-labeled image per glacier. By adding summer reference photos and a map of the underlying rock, the team cut the model's average error from more than a kilometer to under 70 meters. The work, accepted to the IEEE International Conference on Image Processing (ICIP), points toward automated, large-scale glacier monitoring at a time when warming is speeding up ice loss.
Learning to lead in a hybrid human-AI enterprise
Adoption of AI agents is projected to climb by as much as 300% over the next two years, and that surge is forcing company leaders to manage a workforce where software agents and people work side by side. Unlike older automation that waits for human input, AI agents act on their own, coordinating multi-step tasks and moving across different tools and systems. In early use across customer service, HR, and sales, agents have delivered productivity gains of 30 to 50%, while three-quarters of current roles are expected to need redesign or reskilling by 2030.
Finding Success in Industry as a Chip Designer
I have been an application-specific IC (ASIC) designer for almost three decades. Over that time, I've moved through the full academic trajectory, from graduate student to full professor; later, I transitioned to industry after an unsuccessful stint at entrepreneurship. When I made the switch to the private sector in 2019, I began focusing on a critically important aspect of the electronic industry: silicon intellectual property. As much as 80 percent of the physical area in today's most advanced chips is occupied by blocks that aren't made for specific products or even designed by the consumer
Māori Text-to-Speech Model Spurns Big Tech's Values
New Zealand is a country famed for its dramatic landscapes, but its linguistic landscape is arguably just as interesting. Of its three official languages, only te reo Māori (the Māori language) could be described as indigenous. Though spoken fluently by just 4.3 percent of the population, national statistics show that about 30 percent of New Zealanders can speak more than a few words or phrases of the language. But ask ChatGPT to write te reo Māori and it will oblige, fluently answering your questions in the standardized form of the language taught in schools and broadcast on national televisi