GenAI revolutionizes academia, automating scholarly work and sparking debates on integrity, originality, and the future of knowledge production, potentially necessitating a rethinking of academic practices and formats.
Voice AI startups are experiencing a surge in investor interest and skyrocketing valuations as the technology, which enables natural human-computer interaction, is seen as a 'universal remote' for the digital world, with several companies tripling in value over the past year.
An AI startup churns out thousands of low-cost podcasts weekly, producing various levels hosted by AI personalities without deep backstories to avoid emotional attachment.
A quirk in floating-point arithmetic and batch variability in large language models (LLMs) can lead to inconsistent outputs, but achieving deterministic inference through batch-invariant kernels for key operations like RMSNorm, matrix multiplication, and attention resolves these issues.
In a high-stakes legal battle, Meta faces a lawsuit from its former WhatsApp security chief alleging serious security vulnerabilities and retaliation for raising concerns, while Meta contests the claims and his significance.
Scholars sound alarms on AI risks like scams and collusion, advocating oversight, ethical guardrails, and pluralism to complement rather than replace human intelligence.
Fairfield University spearheads a $400,000 initiative, partnering with Prairie View A&M and Indiana Tech, to develop teaching tools like case studies aimed at equipping students with ethical decision-making skills in the realm of Artificial Intelligence.
Five Pennsylvania universities launch a pioneering program with Google, equipping students with cutting-edge AI skills and ethical training to gain a competitive edge in the job market.
A pioneering artificial intelligence model, trained on real-world physical interactions, learns to adapt and generalize through a feedback loop between its virtual embodiment and the environment, with open-source WALL models enabling further research and applications.
AI automating travel charges like rental car damage fees, hotel bills, and airline pricing raises accuracy concerns as systems make errors, lack oversight, and unfairly charge customers, prompting calls for documentation and disputing erroneous charges.