Yes, if it's AGI it should be able to "make its own harness" for a new task, or just internalize it.
AI
-
U.S. Sanctions Law Implications for Academic Peer Review Participation
By
–
Participation in peer review at @NeurIPSConf (or @icmlconf, @iclr_conf, @CVPR, @COLM_conf, etc.) can be considered providing a "service" under U.S. sanctions law. U.S. law generally prohibits providing services to designated sanctioned individuals or entities, including cases where the process is effectively providing a service to a sanctioned institution. Violations can lead to significant fines and compliance overhead; willful violations can carry criminal exposure to the organizers and board members. Note that the "informational materials" exemption (Berman Amendment) likely does not apply here, based on legal advice.
→ View original post on X — @hugo_larochelle, 2026-03-25 19:06 UTC
-
Creating Binary Code Without Mathematics Using Computers
By
–
Yes they do, it's suggesting endorsement
-
Jensen Huang Discusses Open Frontier Models with AI Leaders
By
–
Different voices. Same answer: open models.
— NVIDIA (@nvidia) 25 mars 2026
NVIDIA Founder and CEO Jensen Huang sat down with the leaders from @mistralai, @bfl_ml, @cursor_ai, @LangChain, @perplexity_ai, @reflection_ai, @thinkymachines, @allen_ai, @evidenceopen, and AMP PBC to discuss the rapid rise of open… pic.twitter.com/wha1gE3W5oDifferent voices. Same answer: open models. NVIDIA Founder and CEO Jensen Huang sat down with the leaders from @mistralai, @bfl_ml, @cursor_ai, @LangChain, @perplexity_ai, @reflection_ai, @thinkymachines, @allen_ai, @evidenceopen, and AMP PBC to discuss the rapid rise of open frontier models. Get the top takeaways from the frontier of AI: nvda.ws/4uR6eEV
-
AGI Definition Unchanged Since 2019 Compass Not Target
By
–
I have been saying the same thing for years. Initially I was using this exact line ("it's a compass, not a target to hit") about ARC 1, back around 2021-2022, before ChatGPT. This has always been our stance. My bar for AGI has been public and unchanged since 2019. It's AGI when
-
AI Model Development Pace Challenges Environment Creation Timeline
By
–
This would have been materially impossible to do even if we wanted to, since it took us an entire year to create the environments, while new AI models come out every month. By the time the latest SotA model is out, the full set of environments already is already shipped.
-
Modern BI Platforms Integrating AI With Unified Data Foundation
By
–
Modern BI wasn’t built for AI. Fragmented tools, duplicated logic and inconsistent metrics make analytics harder to trust. A better approach brings data, semantics, dashboards and AI together on a single governed foundation. This guide explores how modern analytics platforms
-
ARC-AGI: Measuring Progress Toward Artificial General Intelligence
By
–
Keep in mind: ARC-AGI is *not* a final exam that you pass to claim AGI. Including ARC-AGI-3. The benchmarks target the residual gap between what's hard for AI and what's easy for humans. It's meant to be a tool to measure AGI progress and to drive researchers towards the most
-
The Intentionality Problem in LLM Personalization and Memory
By
–
IMO the main issue with personalization + LLMs is intentionality. The memory system designers so far have treated this like a data problem: data mine all the chats and you will surface useful memories. But you call out the exact issue with this data mining approach: just
-
Were ARC-AGI Tasks Dropped Because Models Already Solved Them?
By
–
Just wondering: were any ARC-AGI designs discarded because current models were already too good out of the box?