Andrew Yang revives UBI proposal to address tech-driven wealth disparities, echoing automation concerns. His "Freedom Dividend" aims to protect workers from job loss to robots.
Popstars like Elton John and Dua Lipa lead campaign for artists' rights in AI training, backed by 95% of respondents in government consultation. Calls for stronger copyright protection and licensing requirements gain momentum in the fight against tech companies.
Microbes make up 99.999% of Earth's species. MIT's Yunha Hwang uses genomic language modeling to study their diverse genomes.
Kernel ridge regression (KRR) predicts values using a kernel function to handle non-linear data. Training a KRR model involves finding weights with closed-form or iterative techniques for accurate predictions.
MIT researchers develop AI-driven robotic assembly system for rapid prototyping furniture from premade parts. System builds objects based on user descriptions, reducing waste and enabling local fabrication.
Amazon SageMaker HyperPod now supports elastic training, allowing ML workloads to scale automatically based on resource availability. This dynamic adaptation maximizes GPU utilization, reduces costs, and accelerates model development without manual intervention, addressing the inefficiencies of static allocation in AI infrastructure.
Unsloth's open-source framework allows efficient fine-tuning of AI models on NVIDIA GPUs, enhancing accuracy for specialized tasks. Developers can choose from three main fine-tuning methods based on their goals, from parameter-efficient to reinforcement learning, to improve AI models for specific use cases.
Doctoral student Dauren Sarsenbayev from MIT NSE aims to extract heat from spent nuclear fuel, turning waste into energy. His innovative approach reframes nuclear waste as a valuable resource, offering a sustainable solution for energy production and waste management.
MIT researchers developed DisCIPL, a framework where large language models guide smaller ones for more accurate and efficient responses. Using LLaMPPL, the models collaborate like a company to tackle tasks from text blurbs to travel itineraries, bridging the gap in reasoning abilities.
Over 150 anonymous channels using AI to spread false stories about Keir Starmer, gaining a billion views. Opportunists profit from political division with fake, anti-Labour videos.
Seeking comfort from machines is replacing traditional religious practices, as people turn to technology for reassurance in times of grief and fear. The shift from relying on religion to seeking solace from machines highlights a changing cultural landscape and the evolving role of technology in providing emotional support.
AI could exacerbate income inequality and create a new underclass. Concerns rise over massive job losses predicted by leading AI companies and politicians like Bernie Sanders.
California governor criticizes Trump's AI executive order, accusing it of promoting 'grift and corruption' instead of innovation. Gavin Newsom calls out Trump and his adviser David Sacks, accusing them of 'running a con' with their AI policy.
OpenAI CEO juggles AI advancements and fatherhood. Sam Altman eyes $1tn valuation for company while navigating new parenthood.
Summary: The newsletter highlights cultural gripes of 2025, including megamergers and thin thrillers. Join for a cathartic moan.