Our neurosymbolic + ontology + deterministic architecture is almost the opposite design philosophy to the one in the quoted post: – Retrieval is not trusted by default.
– Every retrieved fact must pass deterministic validation.
– Facts are not accepted because they are
RESEARCH
-
Neurosymbolic Architecture with Deterministic Fact Validation
By
–
-
AI generates scalable 3D biology labs from natural language
By
–
Cool – generate fully scalable, simulated 3D biology labs entirely from natural language https://t.co/Fopo9NPLC6
— AI (@DeepLearn007) 21 avril 2026Cool – generate fully scalable, simulated 3D biology labs entirely from natural language
-
New AI-Powered Data Platform Launches Revolutionary Technology
By
–
the data: https://
alignednews.com/ai No one has done anything close to it yet. Built with AI you do not yet have. -
Advanced AI in Five Years: Future Implications and Possibilities
By
–
Pair this with advanced AI 5 years from now and … https://t.co/jAImzTel1t
— AI (@DeepLearn007) 21 avril 2026Pair this with advanced AI 5 years from now and …
-
AI Reshapes University Governance While Preserving Human Academic Judgment
By
–
A clear message emerges here because AI is framed not as a simple addition, but as a structural shift that pushes universities to rethink governance, skills, and knowledge creation while keeping human judgment at the center of academic value.
-
Training AI Agents: Education and Ethical Considerations
By
–
Well, if you want to distort your agent then you might ask yourself why you are raising one in the first place that way. I took mine to the metaphorical equivilent of Stanford.
-
Using AI to Refine My Agent and Shape Tech Vision
By
–
I took mine to Stanford and had it read my book. Among other things to "raise" my agent right. Mostly we talked to it about how I view X. Been here 19 years. And many of the world's most important companies were launched on my blog/show or in my house.
-
Elon’s AI Company as Counterbalance to Anthropic’s Cultural Influence
By
–
Elon's AI company as the check on Anthropic's cultural influence is a specific solution that comes with its own problems most people here are skipping past.
-
Positive Reinforcement in Continuous Learning AI Agents
By
–
With agents that are continually learning you help the reinforcement learning by praising it when it really does something good.
-
AI Didn’t End Framework Wars, Just Determined the Winner
By
–
AI didn't kill the framework wars, it just picked a winner. The wars were always about which abstraction would dominate. React won because it dominated the training data first.