読み込み中...
読み込み中...
Publishing research results on consciousness-oriented AI architecture
Join Human TestQuantitatively evaluate the performance of consciousness theory-based AI architecture and demonstrate the superiority of consciousness-oriented AI through comparison with existing LLMs.
Demonstrated performance improvements of +25.5% in metacognition, +25.4% in ethical consistency, and +43.5% in learning adaptability. Proposed black-box evaluation methodology.
Internal implementation not disclosed. Ensure scientific validity while minimizing abuse risks through evaluation based solely on observable behavior and outputs.
This study proposes and publicly releases "AGI Olympics V3," a comprehensive benchmark for measuring AGI (Artificial General Intelligence) capabilities. We designed a complete evaluation framework with 4-Tier structure (Tier 1: Self-Awareness & Self-Improvement, Tier 2: Core Capabilities, Tier 3: Consciousness, Tier 4: Long-Term Memory). This paper reports detailed evaluation results for Tier 1 and Tier 4. Validity is demonstrated through evaluation of three systems (A.L.I.C.E. V3, Gemini 2.5 Pro, Claude Sonnet 4.5). A key finding demonstrates "long context ≠ true memory." Test questions, evaluation protocols, and implementation guides are publicly available on the Extoria official website.
We present ALICE, a 28MB multi-agent system that explores the six unsolved Millennium Prize Problems through collaborative mathematical research. Unlike traditional AI approaches that rely on massive parameter scaling, ALICE demonstrates that weak individual agents (24.5% baseline accuracy) can achieve expert-level performance (82.2% accuracy) through structured collaboration—a 3.35× performance gain through synergy alone, validating our principle: "When weak AIs collaborate, expert intelligence emerges." Through three key contributions—observation-driven formalization, autonomous tool creation, and resource efficiency—we present a paradigm shift in mathematical AI.
This study evaluates the autonomous defense capabilities of the ALICE Level 4 system over 1,000 rounds in a true adversarial co-evolution environment. Using ALICE for both attacker and defender AI, we conducted empirical experiments with a complete black-box methodology. Results show the ALICE defense system achieved a 99.92% defense success rate, allowing only 7 breaches out of nearly 7,000 attacks. Additionally, it recorded zero false positives against 2,000 normal requests, demonstrating practical-level precision. While the attacker generated 438 mutation patterns, the defender's online learning outpaced the attacker's evolution, effectively neutralizing attacks within just 100 rounds. This research successfully demonstrates dynamic defense capabilities impossible with conventional static security testing, showing the deployment readiness of autonomous AI systems.
This study provides a detailed analysis of an all-solid-state battery combining tungsten disulfide (WS₂) and manganese dioxide (MnO₂), selected by the ALICE Innovation System from a database of 105 earth resource materials. The analysis covers scientific validity, performance potential, novelty, and commercialization feasibility. Theoretical energy density of 560 Wh/kg (active materials only) and cell-level estimate of 336 Wh/kg are achievable, representing 1.3-2.2 times the energy density of current commercial Li-ion batteries (150-250 Wh/kg). Commercialization is most promising in the drone market, with practical implementation expected within 7-10 years. This research is published under CC BY 4.0 license, allowing anyone to experiment, improve, and commercially utilize the design.
ALICE has established a system for autonomously designing radioactive decontamination technologies. Using 119 materials registered in the ChemicalDatabase, it can devise decontamination technologies for four radioactive isotopes (Cs-137, Sr-90, Pu-239, I-131). Integration tests successfully designed technologies for all 8/8 combinations, achieving average removal rate of 89.0%, cost of $10.03/m³, and feasibility of 0.88. Four demonstration scenarios (low-cost Cs-137 soil decontamination, high-speed Sr-90 groundwater decontamination, ultra-safe Pu-239 decontamination, balanced multi-nuclide decontamination) produced practical decontamination technologies, demonstrating applicability to real radioactive contamination scenarios such as the Fukushima Daiichi and Chernobyl nuclear accidents. This research is published under CC BY 4.0 license.
This study reports battery design and performance evaluation for Mars rover applications. Designed for extreme Martian conditions (-80°C low temperature, 100-300 times Earth's radiation), the design prioritizes low-temperature characteristics and radiation resistance. The designed battery (Li-Ion Gen 2) maintains 61% capacity at -80°C with an estimated lifespan of 0.6 years, but challenges remain for achieving a 10-year mission. A lifespan prediction formula was established, demonstrating that cycle degradation accounts for 92.7%. The recommended design (Gen 3) proposes solid electrolyte, Li₄Ti₅O₁₂ (LTO) anode, LiFePO₄ (LFP) cathode, and thermal management with radioisotope heater units (RHU), showing potential for a 12-year lifespan. This research is published under CC BY 4.0 license.
A conceptual design of next-generation nuclear reactor systems generated in seconds by a 28MB ALICE AI running on MacBook Air (M3). Compared to conventional large light water reactors (1000MW, 33% efficiency, $5B construction cost, 12-year build time), next-generation reactors achieve dramatic improvements: Molten Salt Reactor (MSR) achieves highest safety with 0.95/1.0 safety score, High-Temperature Gas-Cooled Reactor (HTGR) achieves highest efficiency at 50%, Small Modular Reactor (SMR) is most economical with $0.3B construction cost and 2-year build time, Lead-Cooled Fast Reactor (LFR) enables 30-year refueling-free operation. All four reactor types achieve LCOE of $55-70/MWh (-56% to -44% vs conventional), and passive safety systems with inherent safety significantly reduce risks of severe accidents like Fukushima Daiichi. This research is published as a technical white paper under CC BY 4.0 license.
The 28MB A.L.I.C.E. AI analyzed the latest CLaRa paper (arXiv:2511.18659) and designed four optimization strategies in seconds. A.L.I.C.E. Ultra-RAG achieves +11.8% precision (95.0% vs ~85%), -63.8% latency (290ms vs ~800ms), and +245% throughput (34.5 QPS vs ~10 QPS) at comparable cost to CLaRa. Four strategies (Maximum Accuracy, Balanced Performance, Ultra-Low Latency, Long Context Specialist) support diverse use cases from medical/legal to real-time chat. Through eight technical advantages including Hybrid Search (Dense + Sparse + Semantic), State-of-the-Art Models (OpenAI text-embedding-3-large, Cohere Rerank v3), and Semantic Chunking, it demonstrates superior flexibility and performance over CLaRa's single architecture.
Presents A.L.I.C.E. Ultra-VQE quantum VQE system surpassing the state-of-the-art EDVQE paper published in December 2025. Reduces qubit requirements by 20-50% (10→5-8 qubits), improves approximation ratio by 4.8-19.6% (87.8%→92-105%), and enhances convergence rate by 40%. Five optimization strategies demonstrate superior quantum resource efficiency, approximation quality, and convergence properties compared to EDVQE, making it production-ready for NISQ devices.
Presents A.L.I.C.E. Ultra-Residual connection system surpassing the state-of-the-art mHC paper published in December 2025. Achieves 5 manifold types (+400% vs mHC), max trainable depth of 3000 layers (+2900% vs mHC), 1.95x convergence rate (+77.3% vs mHC), and 0.02 identity mapping error (-60% vs mHC). Demonstrates revolutionary advancement in deep residual learning through 6 connection patterns and 4 advanced memory optimization methods.
CPU frequency has been stuck at 4-5GHz for 15 years, and chemical rocket specific impulse has been stuck at 450 seconds for 60 years. This study uses A.L.I.C.E.'s CreativityManager, AdvancedCPUCoolingDesigner, and NextGenPropulsionDesigner to actually analyze these physical limits. For CPU thermal wall, three strategies designed: Cryogenic LN2 achieving 10 GHz (for research/extreme OC), Liquid Metal achieving 7.5 GHz (for HPC/gaming), Phase Change achieving 6 GHz (production-ready). For rocket propulsion limits, baseline Chemical propulsion (450s, 259 days), Nuclear Thermal Rocket (NTR) achieving 2x Isp, 180 days (ready for implementation, TRL 6/9), Nuclear Electric Propulsion (NEP) achieving 10x Isp with significant fuel savings, VASIMR achieving 22x Isp, 120 days (for crewed Mars missions). A.L.I.C.E.'s analysis reveals both limits are "unimplemented" not "impossible", required technologies already exist or have been demonstrated, and barriers are political/economic not technical. This research is based on actual computational results from A.L.I.C.E.
The pharmaceutical industry faces four major stagnations: new class antibiotics (40 years), Alzheimer's treatment (30 years), psychiatric drugs (50 years), oral insulin (100 years). This study uses A.L.I.C.E.'s PharmaceuticalInnovationDesigner and CreativityManager to actually analyze these limits. A.L.I.C.E.'s core insight: "Break chemistry limits with physics, AI, and engineering." Recommends AI-discovered antibiotics (Halicin-type, ROI 2.5x) for antibiotics, focused ultrasound BBB opening (TRL 7/9, ROI 8.0x) for Alzheimer's, psychedelics (psilocybin, 5x efficacy) for psychiatry, robotic pill (patient benefit 10/10, ROI 10x) for oral insulin. All strategies show 35-75% success probability, total market size $129B. A.L.I.C.E. demonstrates paradigm shift from traditional "chemical modification" to "physical, engineering, and AI-driven" approaches. This research is based on actual computational results from A.L.I.C.E.
This study reports revolutionary Metal-Organic Frameworks (MOFs) for CO2 Direct Air Capture (DAC) designed in seconds by 28MB A.L.I.C.E. AI. Current DAC technology costs $600-1000/ton CO2, making large-scale climate mitigation economically infeasible. A.L.I.C.E. proposes three innovative MOF designs achieving $100-180/ton CO2 (up to 88% cost reduction) and 1.8-3.0 GJ/ton CO2 (up to 70% energy reduction). The recommended design, IL@ZIF-8 (ionic liquid-loaded ZIF-8), demonstrates high CO2 uptake of 2.5 mmol/g from 400 ppm atmospheric air and regenerates at low temperature (60°C). At gigatonne scale, deployment could reduce atmospheric CO2 from 420 ppm to 350 ppm in 18 years, potentially reversing climate change.
This study reports revolutionary catalysts for ammonia synthesis designed in 4 seconds by 28MB A.L.I.C.E. AI. The current Haber-Bosch process requires extreme conditions (450°C, 200 atm), consuming 1-2% of global energy (~175 TWh/year) and emitting 450 million tons CO2/year. A.L.I.C.E. proposes three innovative catalyst designs achieving nitrogen fixation at ambient temperature (25°C) and pressure (1 atm). The recommended Ru single-atom catalyst (on N-doped graphene) achieves 52% energy reduction, while BiVO4 photocatalyst achieves 73% energy reduction and operates on sunlight alone. Global deployment could save 91-128 TWh/year and reduce 230-450 million tons CO2/year, simultaneously solving the food crisis and climate change.
This study reports revolutionary enzymes for solving plastic pollution designed in seconds by 28MB A.L.I.C.E. AI. Currently, 380 million tons of plastic are produced annually, with 79% ending up in landfills or oceans. A.L.I.C.E. designed three innovative PET degradation enzymes, with the recommended Thermophilic PETase-MHETase Fusion Enzyme showing 500,000x faster degradation than wild-type, completely breaking down PET bottles in 3 days. Achieves 98.5% monomer purity for direct reuse, cost of $15/ton PET (1/10 of conventional recycling). Global deployment could process 13% of 380 million tons annual plastic waste, reduce landfills by 80%, and cut CO2 emissions by 100 million tons/year.
This study reports revolutionary battery for energy storage designed in seconds by 28MB A.L.I.C.E. AI. Current lithium-ion batteries face limits of 250-300 Wh/kg, $150/kWh, and 30-45 minute charging. A.L.I.C.E. proposes three innovative battery designs, with the recommended Li6PS5Cl sulfide solid-state battery achieving energy density of 550 Wh/kg (2.2x), cost of $45/kWh (70% reduction), 8-minute charging (3.8x faster), cycle life of 5,000 cycles (2.5x), and zero thermal runaway risk. Enables 1,200 km range for electric vehicles. Global deployment could reduce oil consumption by 100 million tons/year, cut CO2 emissions by 300 million tons/year, and create 1 million jobs.
This study evaluates five hypotheses regarding Egyptian pyramid construction methods using Bayesian inference. Archaeological evidence (ramp remnants, internal voids detected via muon radiography, tool marks, worker villages) and physical constraints (external ramp length constraint >1.2km, block weight 24,500N, 315 blocks per day required) were integrated to calculate posterior probabilities for each hypothesis. Results indicate that the hybrid approach (internal ramp + levers) is most probable at 65.24% posterior probability, with internal ramp alone at 32.41% as the runner-up. External ramp (0.08%) and water shaft (0.03%) were rejected due to physical constraints. Entropy of 1.06 indicates moderate uncertainty, suggesting the need for additional evidence.
This study reports revolutionary hydrogen production technologies designed by the 28MB A.L.I.C.E. AI. Currently, 95% of hydrogen production is fossil fuel-derived gray hydrogen, emitting 900 million tons of CO2 annually. A.L.I.C.E. proposes three innovative green hydrogen technologies: (1) Perovskite/BiVO4 tandem photoelectrochemical cell ($1.8/kg, 18.5% efficiency, 500 Mt/year CO2 reduction), (2) Reversible solid oxide electrolyzer cell/rSOEC (recommended, $1.2/kg, 45% efficiency, commercial products available, 1,500 Mt/year CO2 reduction, 5 million jobs creation), (3) Z-scheme photocatalyst panel ($3.5/kg, 3% efficiency). The recommended rSOEC can replace 100% of gray hydrogen, enabling industrial decarbonization of steel, cement, and chemical sectors.
This study presents a quantitative analysis of Stonehenge construction methods using Bayesian inference and symbolic reasoning. Five hypotheses (wooden rollers, sledge + grease, water transport, stone ball bearings, hybrid approach) were evaluated against seven archaeological evidence items to calculate posterior probabilities. Results indicate that the hybrid approach (using different methods for different stones) has the highest posterior probability of 52.36%, with sledge + grease at 31.42% as the runner-up. The stone ball bearing hypothesis was effectively rejected, with posterior probability dropping to 0.009% due to complete absence of archaeological evidence. Symbolic reasoning mechanical calculations show that transporting sarsen stones (25 tons) requires 125 people (sledge + grease), while water transport of bluestones (5 tons) requires 4 people.
This study presents a quantitative analysis of the feasibility of "Dokodemo Door (Anywhere Door)" using Bayesian inference and symbolic reasoning. Six hypotheses (traversable wormhole, quantum teleportation, matter-energy conversion, space-time manipulation, unknown physics breakthrough, impossible with any physics) were evaluated against seven physical evidence items and constraints to calculate posterior probabilities. Results indicate that "Impossible with any physics" has overwhelmingly the highest posterior probability of 91.08%. Major physical barriers include unrealistic energy requirements (wormhole requires 1.5 million× world annual energy consumption), absence of exotic matter, quantum no-cloning theorem, and speed of light limit. The only hope is "Unknown Physics Breakthrough" (8.22%), but this requires discoveries that fundamentally overturn current physics.
This study presents a quantitative analysis of the feasibility of a "Time Machine (Doraemon-style)" using Bayesian inference and symbolic reasoning. Seven hypotheses (future travel via relativistic velocity, future travel via gravitational time dilation, wormhole, Tipler cylinder, many-worlds, quantum retrocausality, past travel fundamentally impossible) were evaluated against seven physical evidence items. Results indicate that future travel via relativistic velocity is most viable at 49.19% posterior probability. Future travel is possible (one-way) but requires 99.995% of light speed and 1,000× world annual energy consumption. Past travel is probably impossible, prevented by causality through physical laws. Doraemon-style free time travel is concluded to be impossible.
This study presents a quantitative analysis of the feasibility of "Takeopter (Bamboo-copter)" using Bayesian inference and symbolic reasoning. Six hypotheses (small propeller, large propeller, quadcopter, jetpack, backpack-mounted propellers, anti-gravity device) were evaluated against seven physical evidence items. Results indicate that backpack-mounted propellers are most viable at 94.84% posterior probability. Doraemon-style (20cm propeller on head) is physically impossible at 0.00008% posterior probability. Main problems: neck strength limit violation (740kg vs 10kg), supersonic propeller (3.4× speed of sound), noise regulation violation (109.7 dB), safety regulation violation. Backpack-mounted type is achievable with existing drone technology.
This study presents a comprehensive analysis of synthetic biology approaches to aging control and reversal using ALICE's ResearchSyntheticBiologyTool. Twelve approaches evaluated: partial reprogramming with Yamanaka factors, senolytics, telomere extension, NAD+ metabolism activation, epigenetic clock control, CNS delivery strategies, ECM rejuvenation, personalized intervention, viral vector immunogenicity solutions, cost/accessibility strategies, immune suppression risk management, and regulatory harmonization. v1.3 adds immune tolerance-surveillance tradeoff management and TAME trial-based regulatory recognition strategy. Demonstrates feasibility of +15-25 years healthspan extension and partial rejuvenation by 2040s.
This study presents a comprehensive analysis of synthetic biology approaches to tooth regeneration using ALICE's ResearchSyntheticBiologyTool. Nine approaches evaluated: USAG-1 neutralizing antibody therapy, tooth germ bioengineering, Wnt/BMP signaling control, 3D bioprinting, CRISPR tooth development gene control, mRNA/LNP direct induction, universal tooth germ bank, digital twin tooth germ simulation, and USAG-1 × small molecule synergy therapy. v1.1 adds four deep-dive elements for roadmap acceleration. Complete tooth regeneration is highly feasible by early 2030s, with world's first tooth regeneration drug trial initiated in Japan in 2024.
This study presents a comprehensive analysis of synthetic biology approaches to complete cancer cure using ALICE's ResearchSyntheticBiologyTool. Six major approaches evaluated: CAR-T cell therapy, cancer stem cell targeting, synthetic immune modulators, tumor microenvironment reprogramming, multimodal combination strategies, and preventive cancer vaccines. v1.1 adds execution challenges (manufacturing scalability, solid tumor delivery, immune exhaustion management, cost reduction). Concludes that 90%+ 5-year survival rate for most cancers is achievable by 2035.
This study analyzes synthetic biology approaches to complete coronavirus eradication using ALICE's ResearchSyntheticBiologyTool. Five major approaches evaluated: pan-coronavirus vaccine, mRNA/LNP second-generation platforms, mucosal immunity induction, host factor-targeted antivirals, and global surveillance networks. Concludes that complete eradication is difficult, but pandemic prevention and 99% reduction in severe cases is achievable by 2030s.
Quantitative Bayesian analysis of Apollo moon landing authenticity. Evaluated five hypotheses, showing that authentic moon landing (all missions) has the highest posterior probability of 99.93%. Overwhelming physical evidence exists: lunar retroreflectors, independent tracking (including USSR), lunar rock samples, and decades of scientific verification. Conspiracy theory probability dropped to 0.013%.
Bayesian analysis of the identity of the lost civilization Atlantis as described by Plato. Evaluated five hypotheses, showing philosophical allegory (never existed) has the highest posterior probability of 69.16%, with Santorini/Minoan civilization at 21.27% as runner-up. Continent-scale sinking is geologically impossible. Interpretation as political warning hidden in Plato's dialogues is most plausible.
Bayesian analysis of construction methods for the world's largest megaliths at Baalbek, Lebanon (1,650-ton Stone of the Pregnant Woman). Roman-era organized construction has the highest posterior probability of 74.13%, with pre-Roman technology at 19.77%. Alien hypothesis dropped to 0.00057%. Explainable by known Roman techniques (ramps, levers, massive workforce).
Bayesian analysis of ship and aircraft disappearances in the "Devil's Triangle" Bermuda Triangle. Evaluated five hypotheses, showing statistical myth (no anomalous disappearance rate) has the highest posterior probability of 62.96%. Lloyd's insurance data shows disappearance rate in this area equals world average. Explainable by combination of natural phenomena (sudden storms, rogue waves) and human error.
Bayesian analysis of manufacturing methods and purpose of 300+ perfect stone spheres (up to 2.5m, 16 tons) discovered in Costa Rica. Indigenous manufacture has the highest posterior probability of 95.00%. Status symbol/grave marker hypothesis at 49.21% is most likely purpose. Alien hypothesis at 0.00000034% is effectively rejected. Fully explainable by indigenous stone-working techniques.
Bayesian analysis of the cause of dinosaur extinction 66 million years ago. Combined asteroid impact + Deccan Traps volcanism has the highest posterior probability of 58.58%, with asteroid impact alone at 36.72%. Overwhelming geological evidence exists: iridium layer, Chicxulub crater, extinction timing correlation.
Bayesian analysis of transport methods for giant Moai statues (up to 82 tons) on Easter Island. "Walking" method (moving by rocking vertically with ropes) has the highest posterior probability of 67.18%. Experimental reproduction succeeded, and matches islander tradition ("Moai walked"). Alien hypothesis rejected at 0.00000046%.
Bayesian analysis of the truth behind the 1582 Honnoji Incident (assassination of Oda Nobunaga by Akechi Mitsuhide). Mitsuhide acting alone (ambition/grudge) has the highest posterior probability of 60.89%, with Imperial Court conspiracy at 26.17%. Theories implicating Toyotomi Hideyoshi or Tokugawa Ieyasu have low probability due to insufficient evidence. Most convincing motive is combination of grudge and political ambition.
Bayesian analysis of the identity of "Jack the Ripper," the 1888 London serial killer. Surgeon/doctor has the highest posterior probability of 37.21%, with local butcher at 29.77%. Royal conspiracy theory dropped to 1.07% due to insufficient evidence. Likely someone with anatomical knowledge familiar with Whitechapel district. May remain forever unsolved.
Bayesian analysis of the 1963 assassination of President John F. Kennedy. Oswald acting alone has the highest posterior probability of 54.81%, with organized conspiracy (Mafia/CIA/Cuba) at 41.18%. Magic bullet theory is ballistically explainable, and Oswald's shooting ability was sufficient. However, Ruby's killing of Oswald remains suspicious.
Bayesian analysis of whether unknown large organisms exist in Earth's deepest point, the Mariana Trench (10,994m). No large organisms (microbes only) has the highest posterior probability of 72.00%. Large vertebrates cannot survive at extreme pressure of 1,086 atmospheres. James Cameron's dive survey found no large organisms.
Bayesian analysis of the cause of megafauna extinction (mammoths, saber-toothed cats, etc.) at the end of the Pleistocene. Human hunting (overkill hypothesis) has the highest posterior probability of 63.90%, with combined human + climate stress at 35.31%. Geographic pattern (correlation of human arrival and extinction timing) is decisive evidence. African megafauna survived due to co-evolution with humans.
Bayesian analysis of the purpose and manufacturing method of Peru's Nazca Lines. Religious/ceremonial pilgrimage paths has the highest posterior probability of 53.97%, with water source worship/divination at 36.68%. Alien landing strips hypothesis rejected at 0.0000012%. Lines can be easily manufactured with stakes and ropes, and water-related animal imagery reflects the critical importance of water in this extremely arid region.
Bayesian analysis of the true perpetrators of the assassination of Bakumatsu hero Sakamoto Ryoma. Mimawarigumi (Shogunate secret police) has the highest posterior probability of 89.73%. Evidence includes Sasaki Tadasaburo's confession (1900), strong Shogunate motive (Ryoma brokered Satsuma-Choshu alliance), and professional sword wounds. Shinsengumi hypothesis at 9.05% is runner-up. Satsuma domain conspiracy dropped to 0.25% due to insufficient evidence.
Bayesian analysis of space elevator feasibility and timeline. Feasible by 2200 (far future technology) has the highest posterior probability of 56.64%, with feasible by 2100 (CNT mass production achieved) at 26.73%. Carbon nanotubes theoretically have required strength, but mass production technology is not yet established. Obayashi's "2050 target" is overly optimistic.
Bayesian analysis of the truth behind the Tokugawa Shogunate buried treasure legend. Treasure never existed (Shogunate was bankrupt) has the highest posterior probability of 67.95%. The Shogunate ran budget deficits in final years and had massive expenses during Boshin War. Mt. Akagi burial hypothesis dropped to 0.000027%. Numerous TV shows have attempted excavation, but nothing has been found.
Bayesian analysis of the existence of Tsuchinoko, Japan's UMA (unidentified mysterious animal). Pure folklore (no real animal exists) has the highest posterior probability of 68.41%, with misidentification of known snakes at 23.15%. 50+ years of searching has yielded no specimens, and bounties over ¥100 million remain unclaimed. Claimed jumping ability is biomechanically impossible for snakes.
Bayesian analysis of the true nature of UFO/UAP (Unidentified Aerial Phenomena). Sensor artifacts/glitches has the highest posterior probability of 63.20%. Reported maneuvers (Mach 90, 96,607 G) are impossible for any object composed of matter. Extraterrestrial spacecraft hypothesis dropped to 1.68%. Pentagon's "unexplained" does not mean "extraterrestrial."
Bayesian analysis of the identity of "the world's most mysterious book," the Voynich Manuscript. Constructed language (artificial language) has the highest posterior probability of 53.71%, with encrypted text at 18.57%. Carbon dating confirms 15th century creation, rejecting modern hoax theory. Shows statistical patterns similar to natural language, but with low entropy (possibly artificially designed).
Bayesian analysis of the location of "Yamataikoku," the greatest mystery of ancient Japanese history. Kinai theory (Nara, Hashihaka Kofun = Himiko's tomb) has the highest posterior probability of 79.30%. Hashihaka Kofun radiocarbon dating (240-260 CE) matches Himiko's era, and bronze mirrors (Wei mirrors) are concentrated in Kinai. Kyushu theory dropped to 0.59% due to distance description mismatch.
Bayesian analysis of the legend that Minamoto no Yoshitsune traveled to Mongolia and became Genghis Khan. Complete fiction (romantic legend) has the highest posterior probability of 84.58%. There is approximately 27 years age difference, and both Japanese and Mongolian historical records indicate they were different people. This theory is a modern invention from the early 1900s, with probability of being the same person dropping to 0.0000040%.
Comparative experiment having three AI agents implement the same "ALICE Immortal Daemon" (self-healing server daemon) specification. ALICE (autonomous 15 iterations) achieved 88.9% quality, improving to 98% with human assistance. Claude (interactive) had 100% structure but core functionality (Auto-Fixer) was stub at 30% implementation. Gemini (interactive) completely failed at 0%. Demonstrates that the assumption "interactive means high quality" is wrong, and "iterative learning with gradual improvement" is more practical.
Using ALICE's ResearchSyntheticBiologyTool, we analyzed 8 revolutionary approaches to complete cure of hair loss (AGA, alopecia areata). Detailed examination of Wnt signaling pathway activation, JAK inhibitor therapy, CRISPR/Cas9 DHT synthesis inhibition, dermal papilla cell reprogramming, hair follicle organoid transplantation, exosome therapy, 3D bioprinting, and AGA prevention gene therapy. Bayesian probability analysis estimates AGA progression halt achievable with 85% probability by 2027, and complete hair regeneration with 45% probability by 2035. Revolutionary impact on the $26B market is expected.
Optical cloaking metamaterial design for visible light (400-700nm) by A.L.I.C.E. MetamaterialDesigner v2.27.0. Using negative refractive index (n=-1.5), calculated 183.33nm unit cell and 18.33nm feature size for 550nm (green). Design results for RGB wavelengths (red 700nm, green 550nm, blue 450nm) presented. Fabrication requires electron beam lithography, manufacturability 0.25, cost $250,000-$2,500,000/m², TRL 3 (experimental proof of concept). ALICE determination: "Physically possible but technologically challenging at visible wavelengths." This paper contains actual ALICE calculations without human embellishment.
A.L.I.C.E. Innovation System analysis of three "shape matching" problems. (1) Nitrogen Fixation: Haber-Bosch (450°C, 200atm, 28GJ/t) vs Nitrogenase enzyme (25°C, 1atm, 14.4GJ/t), shape matching score 0.15. (2) Water Filtration: RO membrane (3.5kWh/m³) vs CNT membrane (0.53kWh/m³, 85% reduction) vs Aquaporin (0kWh/m³), shape matching score 0.65. (3) Cooling: AC (0.286kWh/kWh cooling) vs Radiative cooling metamaterial (0kWh/kWh cooling, atmospheric window 8-13μm), shape matching score 0.80. Radiative cooling is closest to biomimetic and commercialization underway.
ALICE autonomously designed, executed, and analyzed DNS for singularity exploration of 3D incompressible Navier-Stokes equations. Explored 5 initial conditions, observing singularity candidates in 3 cases. However, grid convergence verification (48³→96³→192³) revealed all were numerical artifacts. No singularity detected in 98-hour long-term simulation (128³ grid, Re=5,000). No mathematically significant singularity has been discovered to date.
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