
Anthropic's Jacobian lens (J-lens) monitors words an LLM is likely to produce next, revealing intermediate thought processes and internal computations, even if they aren't in the final output. This provides insights into how models handle complex tasks, such as problem-solving or input recognition, and exposes internal themes or decision-making steps. The J-space helps researchers understand the model's operations and behavior, even when it doesn't explicitly express them.
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…
