How People Are Really Using #AI in 2026
by Marc Zao-Sanders @HarvardBiz Learn more: https://
bit.ly/4e1sftl #GenerativeAI #ArtificialIntelligence #MachineLearning #ML
RESEARCH
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Harvard Business Review article on AI usage in 2026
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LLMs are not conscious, two true versions
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LLMs are not conscious.
LLMs are not not conscious.
Both are true. -
Self-Trained Verification for Self-Improvement in Training and Test Phases
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Reasoning models improve faster with a good verifier, but verifiers cannot learn to detect subtle errors by themselves. However,
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Critique of AI benchmarks not measuring real work
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"The Final Exam of Agents" With the way AI continues to brilliantly succeed at benchmarks, yet this has not translated into real economic value, the authors of this article say the problem lies with the benchmarks, since none measure work.
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Undetected AI hallucinations become users’ false beliefs.
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The vast majority of AIs' hallucinations go undetected. They just become their users' false beliefs.
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Proof-Carrying Evolution: Secure AI Propagation via Strict Selection Gates
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The RSI era should not be ungated self-modification. It should be proof-carrying evolution: Every agent action emits proof.
Every proof enters a Selection Gate.
Only what passes eval, risk, scope, canary, monitoring, and rollback earns propagation. Private intelligence stays -
RSI missing constitution; MontrealAI unveils proof-gated evolution GoalOS
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RSI was missing a constitution. Not “AI improves itself.” Proof-gated evolution: Aim → Act → Prove → Evolve. No proof, no evolution.
No eval, no propagation.
No rollback, no release. AEP-001: GoalOS https://
github.com/MontrealAI/pro
of-gradient/blob/main/docs/standards/AEP-001/GoalOS_Proof-of-Evolution-Constitution_AEP001_v12.1_Institutional_Final.pdf
… #GoalOS #MontrealAI -
GoalOS: AI Improvement, Governance, and Usability for Institutions via Proof-Gradient
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GoalOS makes AI work improvable, governable, provable, and institutionally usable. https://
github.com/MontrealAI/pro
of-gradient
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Sakana AI hiring frontier researchers for RSI core team
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We’ve been laying the foundations for RSI over the last 2 years. Now, I am looking for a select group of distinguished frontier researchers and engineers to join our core RSI team. https://
sakana.ai/careers/member
-of-technical-staff-rsi-lab/
… If you have a proven track record at the frontier, but find yourself -
Anthropic’s Claude Mythos preview outperforms humans in research direction 64% of the time
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The most interesting result in Anthropic's latest paper isn't the 8x increase in code output.
It's this:
Claude Mythos Preview suggested a better research direction than humans 64% of the time.
We're moving beyond AI that writes code.
We're approaching AI that helps decide