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General Motors is advancing toward eyes-off autonomous driving technology by 2028 through extensive simulation testing at its Warren, Michigan facility. The automaker is using immersive environments to test driver responses and refine its Super Cruise system across over 630,000 roads, marking a significant shift from hands-free to eyes-off driving capabilities.
A UC Berkeley study reveals that just 10 minutes of AI assistance significantly impairs human focus and persistence on difficult tasks. When ChatGPT was removed after brief use, participants struggled with accuracy and gave up more often than those who worked independently from the start.
TikTok CEO Shou Zi Chew announced that AI scientific breakthroughs in physics, biotech, chemistry, and material science are likely within the next two to three years. Speaking at the DBS Asia Future Forward Conference in Singapore, Chew emphasized the long-term potential of AI while warning about cybersecurity risks as ByteDance expands its AI research efforts.
Nvidia CEO Jensen Huang received the National Medal of Science from President Donald Trump for advancing GPUs from graphics chips into general-purpose computing architectures that power modern AI and scientific research. The recognition highlights how gaming hardware became foundational computing platforms for AI.
San Francisco-based micro1 announced a $1bn initiative to acquire operational data from companies over the next 12 months. Financed by Citi and Hercules Capital, the Company Data Partnerships programme will use de-identified company data to build reinforcement learning environments where AI agents learn real-world business workflows, decision-making and complex tasks.
Researchers from LMU Munich, Allen Institute for AI, and partner institutions published a Nature study introducing byteification—a method that converts existing large language models into byte-level models using less than 1% of typical training. The breakthrough improves character-level understanding for tasks like spelling words backward and processing code.
OpenAI terminated three AI safety researchers—Jasmine Wang, Tomek Korbak, and Mikita Balesni—citing a breach of trust over handling sensitive information. The dismissed researchers published an open letter denying misconduct and warning their firing creates a chilling effect that threatens OpenAI's culture of raising safety concerns openly.
Anthropic's AI model Claude identified a novel DNA pattern and reverse transcriptase enzymes in bacteriophages, naming them array-associated reverse transcriptases. However, PhD candidate Mario Rodríguez Mestre raised concerns that the AI-generated findings may have drawn from his unpublished work on similar enzymes called jumbotrons, sparking debate about data privacy and ethical guidelines in AI scientific discovery.
OpenAI dropped 722 AI-generated mathematical proofs covering 372 distinct results, including solutions to decades-old problems. But the release has sparked controversy over accuracy, readability, and what it means for human mathematicians when machines can solve problems no one yet understands.
Five major tech companies pledged $2.4 billion in AI tools and compute credits to support the Genesis Mission at a White House summit. Nvidia leads with $1 billion over five years for quantum computing, healthcare, and energy security research. The commitments come as scientists warn that immigration restrictions and funding cuts are weakening America's research leadership against China.
Researchers use AI to eliminate cold storage for mRNA vaccines, enabling room-temperature stability for up to a year and cutting costs by 86%. Separately, AI models trained on ECG readings detect heart transplant rejection with 100% accuracy, eliminating unnecessary biopsies.
Ethereum Foundation researcher Justin Drake warned the blockchain industry to prepare for AI-driven mathematical breakthroughs that could crack ECDSA encryption used by Bitcoin before quantum computers do. The warning follows OpenAI's release of 722 mathematical proofs, sparking debate among cryptographers about whether AI poses a more immediate threat to crypto than quantum computing.
Researchers at the Weizmann Institute of Science unveiled Brain-IT, an AI model that reconstructs images from brain activity with unprecedented speed and accuracy. The system needs only 1 hour of fMRI data to match results that previously required 40 hours, raising both medical possibilities and privacy concerns.
Zuckerberg-backed Biohub announced a $1.8 billion collaboration with Google DeepMind, Meta, the U.S. Department of Energy, and the National Institutes of Health to generate AI-ready biological data. The Virtual Biology Initiative aims to build predictive AI models of biology that could compress drug development timelines from years to months by enabling scientists to digitally simulate biological systems.
Life sciences company Danaher announced plans to launch its first AI-powered autonomous lab in early 2027, promising to accelerate molecule discovery by up to 8 times. The facility at Abcam will combine AI, robotics, and technologies from multiple Danaher operating companies to develop custom antibodies and molecular tools through a continuous design-make-test-learn cycle.
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