How People Are Really Using #AI in 2026
by Marc Zao-Sanders @HarvardBiz Learn more: https://
bit.ly/4e1sftl #GenerativeAI #ArtificialIntelligence #MachineLearning #ML
ENTERPRISE AI
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Harvard Business Review article on AI usage in 2026
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AI Simulations Test Strategy in Boardroom Before Market Launch
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#AI Simulations Enter the Boardroom, Test Strategy Before It Hits the Market
by @antgrasso #ArtificialIntelligence #MachineLearning #ML -
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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CEO Billionaire Proposes Proof-Gated Evolution Constitution for AI: 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
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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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Confused AI rollout hurts firms and baffles staff
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How 'confused' #AI rollout hurts firms and baffles staff
by Joe Fay @bbcnews Learn more: https://
bit.ly/3Sincx9 #ArtificialIntelligence #MachineLearning #ML #FutureOfWork -
New Claude Mythos 5 Model Slug Spotted; New Model Class Coming?
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BREAKING : A new Claude Mythos 5 model slug has been spotted via Dev Mode. Claude Mythos is planned to be released as its own model class, besides Haiku, Sonnet and Opus model families. Soon?
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Perplexity surpasses a paid analyst thanks to 6 prompts
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Perplexity can out-research a paid analyst.
Most people only ever use a fraction of what it does.
These 6 prompts get the rest of it, and every answer comes back with sources: -
5 Security Layers for Shipping AI to Production
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These 5 security layers are non-negotiable when shipping AI to production (don't ship to production without these) Layer 1: Input. Validate and sanitize everything coming in. Block prompt injection at the door. Layer 2: Policy. Your model shouldn't have full access to your
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AI adoption at 94% but still no clear purpose
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Here's the slide they don't show you: six months later. Same room. Same exec. Brand new deck. The strategy now has two bullets — growth! — plus a dashboard. The dashboard tracks exactly one number: AI Adoption. It's at 94%. Everyone is adopting. Still nobody can say what for.