What Anthropic’s latest AI discovery does—and doesn’t—show
Anthropic has identified the J-space, a concept within large language models that reveals internal reasoning processes, offering insights into how models make decisions. The J-space includes words that influence the model’s output but are not present in the final response, highlighting the complexity of LLMs. This research emphasizes the need for specialized tools to understand AI models and underscores the ongoing effort to improve interpretability and control in these systems.
More from Technologyreview
How kids feel about AI, in their own words
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…
technologyreview.com··Mads Kristian Nylund·AI EducationAI ToolsAI Ethics
Scaling AI agents with trustworthy data
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…
technologyreview.com··Mads Kristian Nylund·Data InfrastructureAI GovernanceAI-agents
The Download: the next big thing in LLMs and how AI academic research is shifting
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…
technologyreview.com··Mads Kristian Nylund·AI DevelopmentAI ToolsAI Ethics