
The article highlights the growing divide between AI academics and private companies, with researchers facing financial and technical challenges in developing and using large language models. Despite these obstacles, some academics receive funding to purchase GPUs, but the cost of using these models remains prohibitive. AI2050 fellows often hold industry positions, reflecting the shifting landscape of AI research. The article also discusses the potential impact of AI on mathematics and the mental health of mathematicians, with some viewing AI as a tool to enhance human efficiency rather than a threat.
When we set out to talk to kids about artificial intelligence, we thought we knew what we’d hear. We expected some to tell us they were using it to cheat a little, the way Millennials and Gen Xers opened up CliffsNotes or programmed formulas into their TI-82s, and others to share inspiring ways they were…

Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large…
