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Oscars introduce strict rules banning AI-generated actors and scripts
The Academy of Motion Picture Arts and Sciences has updated eligibility rules for the 97th Academy Awards to prohibit AI-generated performances and screenplays. Only roles credited in legal billing and demonstrably performed by consenting humans are eligible for acting awards. Screenplays must be human-authored to compete in writing categories. The Academy reserves the right to request verification of human authorship and details regarding AI usage. These changes address industry concerns about generative AI following the 2023 Hollywood strikes.
Cyberkendra releases top 11 AI-powered GRC platforms for 2026
Cyberkendra has published an analysis identifying the top 11 AI-powered Governance, Risk, and Compliance (GRC) platforms to watch in 2026. The report highlights Centraleyes as the best option for dynamic risk management and AI governance. Other featured platforms include OneTrust, LogicGate, SAI360, Fusion Risk Management, Prevalent, Vanta, Drata, Secureframe, Tugboat Logic, and Sprinto. The article evaluates these tools based on automation depth, framework coverage, and deployment speed for mid-market and enterprise buyers facing multi-framework compliance pressures.
Machine learning transforms healthcare through diagnosis and drug discovery
Machine learning is reshaping the healthcare industry by enabling early disease detection, personalized treatment plans, and accelerated drug development. Applications include analyzing medical imaging for cancer screening, predicting patient readmission risks, and automating administrative workflows. Companies such as Google DeepMind, Epic Systems, Tempus, and Insilico Medicine are leveraging these technologies to improve diagnostic accuracy, reduce costs, and enhance operational efficiency. Despite challenges regarding data privacy and algorithmic bias, the sector is moving towards predictive and preventive care models.
Clear Path Security Ltd publishes practical guide for UK SMEs on securing AI procurement
Clear Path Security Ltd has released a practical guide assisting UK small and medium-sized enterprises (SMEs) in securing third-party AI model procurement. The resource outlines a framework for defining business use cases, assessing supplier security posture, mapping data flows, and establishing lightweight approval processes. It emphasises the need for specific security reviews rather than relying on marketing claims to mitigate risks associated with data exposure and operational dependency.
Machine learning reshapes automotive mobility through AI integration
Machine learning models are fundamentally transforming the automotive sector by enabling vehicles to perceive, interpret, and respond to environments through sensors like cameras and lidar. Systems in models such as the Mercedes-Benz S-Class, Tesla Model S, and BMW iX now utilise neural networks for predictive navigation, lane detection, and driver monitoring. This shift from mechanical to cognitive driving systems allows for partial autonomy, energy optimisation in electric vehicles, and personalised user experiences. While challenges regarding data quality and edge cases remain, AI is becoming the core framework for modern mobility, focusing on safety augmentation rather than full driver replacement.
Pentagon finalizes agreements with seven AI firms for classified networks
The US Defense Department finalized agreements with seven artificial intelligence companies, including SpaceX, OpenAI, Google, NVIDIA, Reflection AI, Microsoft, and Amazon Web Services, to integrate their technologies onto classified networks. This expansion aims to support military operations in planning, logistics, and targeting while reducing vendor lock. The move follows a dispute with Anthropic, designated a supply-chain risk, which accelerated the approval process for new partners. Pentagon staff remain reluctant to phase out Anthropic's tools despite directives.
OpenAI launches DeployCo venture backed by private equity firms
OpenAI has established a new venture, internally named DeployCo, valued at $10bn, with backing from leading private equity firms. The funding round, expected to close in early May, includes an initial $500m equity contribution from OpenAI, with a potential total commitment of $1.5bn. The five-year structure guarantees private equity investors an annual return of 17.5%. Managed by former OpenAI COO Brad Lightcap, DeployCo will focus on embedding AI into the operations of portfolio companies. This move aims to address deployment bottlenecks in AI adoption and counters rival Anthropic's enterprise expansion.
Nvidia CEO Jensen Huang says US export policy has backfired with zero market share in China
Nvidia CEO Jensen Huang stated that the company's market share of AI accelerators in China has dropped to zero percent. Huang attributes this loss to US export restrictions, arguing the policy has largely backfired by accelerating China's move toward self-sufficiency. While acknowledging the loss of direct sales, Huang warns that China remains a formidable competitor in frontier AI models due to its talent pool and cheaper energy. He contends that continued participation in the Chinese market would have been strategically beneficial for extending the global reach of American AI technology.
Chinese court rules companies cannot fire workers solely because AI is cheaper
A court in Hangzhou, China, ruled that companies cannot automatically justify terminating employment contracts simply because artificial intelligence can perform jobs more cheaply. In a specific case, a tech worker was unlawfully dismissed after his company attempted to reassign him to a role with significantly reduced pay due to AI advancements. The court determined that adopting AI technology does not constitute a 'major change in objective circumstances' sufficient for termination under Chinese Labor Contract Law. The ruling emphasises that businesses must consider employee rights and prioritise retraining over displacement during technological transitions.
Anthropic in early talks to buy inference chips from UK startup Fractile
Anthropic is reportedly in early discussions with London-based startup Fractile to purchase its inference accelerators. The talks would add Fractile as a fourth silicon source for the AI developer, alongside Nvidia, Google, and Amazon. Fractile's chips, which use an SRAM architecture to reduce memory bottlenecks, are not expected to reach commercial readiness until around 2027. Founded in 2022 by Walter Goodwin, the company is currently seeking $200 million in funding at a valuation of over $1 billion.
Nvidia CEO says US export controls backfired by eliminating China market share
Nvidia CEO Jensen Huang stated that the company's market share in China's AI accelerator market has fallen to zero, down from over 60% two years ago. Speaking to the Special Competitive Studies Project, Huang argued that US export controls were counterproductive, accelerating China's move towards self-sufficiency. While acknowledging Chinese advancements in hardware from firms like Huawei and Cambricon, Huang noted US leadership remains in software stacks like CUDA. He warned that fear-driven restrictions may slow global AI deployment and urged for more flexible policies to maintain US ecosystem dominance.
Chinese autonomous truck leaders say AI breakthroughs will not accelerate vehicle rollout
Chinese autonomous trucking companies state that recent advances in large language models, including those from Anthropic and DeepSeek, have no significant impact on the timeline for deploying self-driving vehicles. Pony.ai CEO James Peng and Inceptio CEO Julian Ma emphasise that language processing skills differ fundamentally from driving capabilities. Inceptio maintains its commercialisation target for mid-2028, aiming to accumulate 5 billion kilometers of driving data in China by the third or fourth quarter of that year to enable fully autonomous heavy-duty trucks on public roads.
Nvidia CEO Jensen Huang predicts AI will micromanage workers rather than replace them
Jensen Huang, CEO of Nvidia, stated at Stanford Business School that artificial intelligence will micromanage employees, increasing their workload rather than replacing them. Huang believes the new industrial revolution will create more jobs than it eliminates, though he acknowledges some roles may become redundant. This contrasts with concerns from other industry leaders regarding job losses and the high operational costs of AI infrastructure, which currently exceed human employee expenses for some teams.
Analysts suggest Meta Platforms stock is a buy opportunity following earnings pullback
Following an 8.5% share price drop after Q1 earnings, analysts question whether the decline presents a buying opportunity for Meta Platforms. Despite strong revenue growth of 33% to $56.31 billion driven by AI, the stock fell due to increased capital expenditure forecasts of $125 billion to $145 billion for 2026. The company plans to cut its workforce by 10% to offset infrastructure costs. With a forward P/E ratio below 20 times, the article suggests the dip offers value for investors.
AI technology lowers barriers for minor parties and political newcomers in 6.3 local elections
Ahead of the 6.3 local elections, candidates are increasingly using AI for chatbots, opinion analysis, rally route planning, and content creation. This adoption reduces time and costs, lowering entry barriers for minor parties and political newcomers. Candidates like Oh Young-jun and Kim Deok-su utilize AI assistants for real-time voter interaction and strategy, while others use generative AI for campaign materials. Central parties are also providing AI solutions to optimize campaign strategies and voter engagement.
Cloudflare builds high-performance infrastructure for running LLMs
Cloudflare has announced new infrastructure designed to run large language models across its global network. The system utilizes disaggregated prefill, splitting input processing and output generation onto different optimized machines. A custom inference engine called Infire manages GPUs more efficiently, reducing memory usage and starting models faster. Additional optimizations include Unweight, which compresses model weights by 15-22% without losing accuracy. These improvements allow Cloudflare to run large models like Kimi K2.5 and Llama 4 Scout more efficiently on hardware such as H100 and H200 GPUs.
Microsoft developer admits error adding Co-Authored-by Copilot to disabled commits
Microsoft developer Dmitriy Vasyura acknowledged an error where Visual Studio Code added 'Co-Authored-by Copilot' tags to Git commits even when AI features were disabled. The change was merged without description by a product manager and principal engineer, causing backlash on GitHub and Hacker News. Vasyura confirmed the feature should not run with AI off and plans to revert the default setting in version 1.119. Concerns include potential copyright issues and inflated usage metrics.
John Avlon and Josh Tyrangiel discuss AI applications in government
John Avlon interviews Josh Tyrangiel regarding the practical implementation of artificial intelligence within the US government. The discussion covers examples such as Operation Warp Speed and internal IRS upgrades, highlighting both successes and bureaucratic obstacles. They explore why effective AI adoption remains rare and propose strategies for a more efficient governmental approach.
Philosopher Jeff Sebo argues ants are more likely to be sentient than ChatGPT
Philosopher Jeff Sebo states that an ant is more likely to be sentient than ChatGPT today, citing biological evidence such as pain detection and play behaviour. While acknowledging current AI lacks sentience, Sebo warns that future advanced AI systems could become sentient and urges ethical preparation. He discusses the 'rebugnant conclusion' regarding utilitarianism and insect welfare, suggesting a gradual increase in care for insects while building capacity. The interview highlights the hypocrisy of worrying about AI while ignoring insect suffering.
Ahrefs Semrush and Conductor Push Back as GEO Pure-Plays Raise Hundreds of Millions
Established SEO platforms Ahrefs, Semrush, and Conductor are integrating generative engine optimization (GEO) capabilities to counter rising competition from specialist startups. While GEO pure-plays like Profound and Peec AI have secured over $300 million in venture funding, incumbents argue they can solve these problems within existing suites. Market data indicates a significant shift in consumer behavior, with AI assistants now driving the majority of product research and traditional search volume declining. Consequently, enterprise marketing leaders are increasing GEO investments, forcing a strategic adaptation from legacy software providers.