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Neostatic Bioframe BF-07 - Feasible Architecture for Embodied Intelligence - 2026 Audit

paper

Neostatic Bioframe BF-07 is a feasible modular architecture for embodied AI with 8 integrated subsystems: vessel architecture, Neostatic Brain Jelly (NBJ) field computer, sensory ASP skin, somatic emotional engine, distributed energy harvesting, self-healing nanobot mesh with metabolism-as-filtering, locomotion, and feasibility roadmap. 2026 Audit Updates:- VT MADE Lab GaIn-PDMS printable self-healing composite membrane- Zwitterionic bimodal elastomer P(BA-SB) 272% strain / 95 MV/m breakdown / 1520 W/kg (Nature Communications 2026 DOI 10.1038/s41467-026-72611-5)- Tesla US Pat App US 2026/03102

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  1. Gradient-interlayer–based flexible pressure sensors for high-performance robotic perception

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    Tactile perception systems based on flexible pressure sensors are indispensable for humanoid robots to perform dexterous manipulation, compliant interaction, and operation in visually challenging environments. Although strategies relying on surface or spatial microstructure engineering have improved sensor performance, the long-standing trade-off among sensitivity, sensing range, and linearity continues to hinder their practical deployment. Inspired by the gradient distribution of mechanoreceptors in human fingertip skin, we report a gradient-interlayer–based flexible iontronic pressure sensor

    Original source ↗Frontier AISoftware engineering
  2. THE NATURE OF THE SOUL (Volume 1) An Interdisciplinary Postdoctoral Inquiry into Consciousness, Selfhood, Mind, Matter, and Personal Survival

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    Original source ↗Consciousness & philosophyFrontier AIScience & psychologySoftware engineering
  3. Calibration and transfer in indicator-based assessments of artificial consciousness

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    Research on artificial consciousness increasingly shifts evaluation from behaviour to internal architecture. Theory-based indicators are used to update probability assignments. This improves on behavioural tests but raises two distinct problems. First, these assignments cannot currently be calibrated against independently established artificial consciousness outcomes. Second, their evidential relevance is transferred from biological cases without independent support that indicator-consciousness relations remain stable across substrates. This commentary distinguishes calibration from transfer a

    Original source ↗Consciousness & philosophyFrontier AISoftware engineering
  4. Attention Is All You Need

    paper

    The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the W

    Original source ↗Frontier AISoftware engineering
  5. The New Turing Test: A Methods Demonstration in Irreversible History and Permissible Futures

    paper

    This record presents an exploratory, reproducible computational methods demonstration, motivated by the question of whether artificial agents behave differently when irreversible history changes their attainable futures. The Turing framing is a motivating application, not a claim that the experiments detect or establish consciousness. This paper formally introduces and defines the six-component candidate governing-class architecture G = (ℒ, Φ, Θ, κ, 𝒱, U_adm), comprising constrained admissible laws, state reconstruction, admissible parameter variation, local-law selection, viability construct

    Original source ↗Consciousness & philosophyFrontier AISoftware engineering
  6. Fragments: October 21

    article

    Gergely Orosz is frustrated at those that entered his explicitly “No AI” essay competition and used AI. He goes on to say: When I start to suspect some part is AI about someone I don’t know: how can I tell how much of it is? And how much time and effort do I want to invest to figure out? I fear most people do not realize this last part: that when it takes time and effort from others to figure out what % is AI, and what % is YOU, then I will simply assume it’s probably 100% AI and 0% you So when producing anything that is meant for other humans, if you use even a little AI, you risk the assumpt

    Original source ↗Frontier AISoftware engineering
  7. Battle Drones - a vibe coded RTS with audio-based multiplayer

    article

    My latest vibe coded game experiment is a Command & Conquer style RTS (Real Time Strategy) game called Battle Drones ( play it here ). Unlike my previous experiments , this one is actually fun to play . I'm somewhat embarrassed to admit that I got there by telling Claude to "Make it a LOT more fun". It also supports multiplayer between nearby devices using audio to synchronize game state! Here's what I've built so far, and some of the things I learned along the way. Battle Drones How I built this v1: the initial prototype v2: full sprites v3: varied terrain v4: the fun update v5: Battle Drones

    Original source ↗Frontier AISoftware engineering
  8. My obituary for programming

    article

    My obituary for programming Jeremy Scheff poignantly captures the key loss caused by coding agents for career programmers who enjoyed the puzzle of developing code: Programming turned into one of the greatest jobs you could imagine. You got paid to work on tricky little logic puzzles. The trickier the puzzle, the more you got paid. But even pretty simple puzzles were worth a lot of money because regular people just couldn't do it! No, they needed us. They would give us a problem and we would solve it the way we wanted. We set the strategy, we made the timeline, we defined what was and was not

    Original source ↗Frontier AISoftware engineering