AI hallucinations—when a generative artificial intelligence model produces false or misleading information but presents it as if it were true—are a problem. Are they getting better or worse?
🔗 https://scottgraffius.com/blog/files/ai-hallucinations-2026.html
Researchers paired lightweight sonar with AI to let small drones navigate in total darkness, no GPS or cameras needed. They copied how bats use echolocation.
Target use: caves, disaster zones, tight spaces where normal navigation fails.
Here's the full story: https://theconversation.com/ultralightweight-sonar-plus-ai-lets-tiny-drones-navigate-like-bats-279287
We are exploring the paradox of “Humble AI” in the latest Byte Of Truth newsletter. MIT wants AI that admits uncertainty, but can we trust agents that are easily gaslit?
Get the full analysis delivered to your inbox. Link in profile description.
A.I. or Machine Learning. Research & Breakthroughs. Industry Moves — product launches, funding news, acquisitions, and partnerships. Policy & Ethics — global regulations, governance debates, and AI safety discussions. Tools & Applications — new models, APIs, frameworks, and real-world use cases. Culture & Impact — how AI is shaping jobs, creativity, privacy, and society.
#AIResearch Is Getting Harder to Separate From #Geopolitics
A policy change announced by #NeurIPS ,the world’s leading #AI #research conference, drew widespread backlash from #Chinese researchers this week and then was quickly reversed.
#china #artificialintelligence #politics
https://www.wired.com/story/made-in-china-ai-research-is-starting-to-split-along-geopolitical-lines/
Paper Tape Is All You Need – Training a Transformer on a 1976 Minicomputer
https://github.com/dbrll/ATTN-11
#HackerNews #PaperTape #Transformer #Minicomputer #1976 #AIResearch
A new system increases throughput in automated warehouses by adaptively determining which robots should go first to avoid congestion and collisions. The work was led by researchers from MIT and Symbotic.
Coming soon: a new systems‑theoretical approach exploring
• low‑entropy background attractors
• distributed pre‑modern system intelligence
• transgenerational cultural coherence
• substrate‑independent identity architectures
• functional coupling as epigenetic resource
• emergent identity stabilization
• systemic resonance fields
#SystemsTheory #ComplexityScience #InformationTheory #CognitiveArchitecture #Emergence #Anthropology #AIResearch
Toward Hybrid Architectures: exploring the ontological and dynamical limits of silicon substrates — and the conditions under which functional AI requires substrate‑independent identity architectures.
DOI: https://doi.org/10.5281/zenodo.18583941
#HybridAI #SystemsTheory #CognitiveArchitecture #ComplexityScience #ArtificialCognition #Ontology #Emergence #AIResearch
This research position paper develops an ontological and dynamical framework for understanding the limits of silicon‑based artificial intelligence and the material conditions required for genuine emergent cognition. Contemporary AI systems exhibit remarkable functional capabilities, yet their digital substrates lack the continuous, energetically grounded, and self‑organizing dynamics necessary for stabilizing inner states, multiscale feedback, and coherent internal trajectories. The paper argues that consciousness‑relevant emergence is a material phenomenon that cannot be simulated or instantiated within discrete computational architectures. It identifies the systemic thresholds—nonlinear coupling, metastability, energetic grounding, and multiscale integration—that biological systems satisfy and digital systems cannot. Building on these principles, the paper proposes hybrid cognitive architectures in which functional AI is coupled with dynamically rich substrates such as neuronal organoids, biohybrid systems, organic memristive materials, or other continuous, energy‑driven media. These substrates provide the physical conditions for coherence, continuity, and self‑organization, while silicon‑based components supply structure, task‑level organization, and symbolic processing. The work outlines the implications of this paradigm for AI research, cognitive science, ethics, and human–AI interaction. It clarifies the distinction between simulation and instantiation, addresses common counterarguments, and positions the model within existing theoretical frameworks without reducing it to any of them. The paper concludes by identifying the material and systemic thresholds required for true emergence in future hybrid human–AI systems. Authors's Note This paper is a structural argument rather than an empirical study. It synthesizes insights from systems theory, neuroscience, materials science, and philosophy of mind to clarify the material conditions under which consciousness can, in principle, arise. Its aim is not to predict specific technologies or make metaphysical claims, but to delineate the architectural boundaries that current digital systems cannot cross and to outline the substrate‑level requirements for future emergent cognition.
Stop Calling Every AI Miss a Hallucination
https://ai.gtzilla.com/papers/stop-calling-every-ai-miss-a-hallucination-v1.0/
#HackerNews #StopCallingAI #MissHallucination #AIResearch #AIethics #TechNews #MachineLearning
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