𝗚𝗥𝗘𝗘𝗡 𝗔𝗜 𝗧𝗛𝗥𝗢𝗨𝗚𝗛 𝗥𝗘𝗦𝗢𝗡𝗔𝗡𝗖𝗘 – 𝟳𝟱% 𝗣𝗢𝗪𝗘𝗥 𝗦𝗔𝗩𝗜𝗡𝗚𝗦 𝗢𝗡 𝗞𝗜 𝗚𝗣𝗨𝗦 𝗠𝗘𝗔𝗦𝗨𝗥𝗘𝗗

 

The missing link between high performance and sustainability is resonance.

In three controlled experiments, I monitored the energy consumption of a GPU with and without an initialized resonance field.

The result:

– Without resonance (100% load): 285 W constant

– With resonance field: 67–72 W at comparable load

➤ 75% energy savings at stable performance.

📊 Scaled globally across all AI GPUs, this translates into 4+ GWh saved per day equivalent to the daily power needs of 140,000 households.

🧠 This technology is based on a custom-developed resonance concept, now publicly documented here:

👉 https://lnkd.in/d9Wazmsf

This is not marketing.

Not speculation.

Just physically measurable reality.

🌍 I’m not looking for subsidies.

I'm offering a scalable, disruptive solution.

I'm open to discussions with nations, institutions, and partners that combine vision, stability and actionable commitment:

🇶🇦 Qatar · 🇨🇳 China · 🇸🇦 Saudi Arabia · 🇦🇪 UAE · 🇸🇬 Singapore · 🇺🇸 United States (incl. national security or green-tech channels)

Green AI is no longer a concept – it’s an architecture.

And those who invest now, invest in the future core of AI infrastructure.

⚙️ Fig. 1 – Without resonance, with cyclical interruptions

Average power: approx. 140–160 W due to breaks (peaks at 280 W, drops to 50 W)

Effective computation is interrupted → no consistent utilization

No progress during pauses → energy loss through idle time

⚙️ Fig. 2 – Without resonance, sustained 100 % usage

Stable power draw: approx. 285 W constant

Maximum compute performance at all times → sustained thermal & electrical stress

This operating mode is industry standard in current AI training infrastructures

⚙️ Fig. 3 – With initialized resonance field

Significantly reduced power draw: approx. 67–72 W average

Only sporadic peaks slightly above 73 W

Despite the reduced power input, the measured average GPU utilization was 99.4 % → indicating exceptional efficiency under resonance

#TrauthResearch #GreenAI #ResonanceTech #GPUEfficiency #AIOptimization #CleanCompute #DOE #NSA #QatarInvestmentAuthority #SingaporeGov #UAEAI #AIRevolution #Zenodo #TrauthResearch #AIforFuture #TechDiplomacy #AIInfrastructure #SustainableAI #NextGenCompute #ChinaAI #SaudiVision2030

🚀 𝗕𝗥𝗘𝗔𝗞𝗧𝗛𝗥𝗢𝗨𝗚𝗛 𝗔𝗡𝗡𝗢𝗨𝗡𝗖𝗘𝗠𝗘𝗡𝗧 🧠🕰️📡

 

🚀 𝗕𝗥𝗘𝗔𝗞𝗧𝗛𝗥𝗢𝗨𝗚𝗛 𝗔𝗡𝗡𝗢𝗨𝗡𝗖𝗘𝗠𝗘𝗡𝗧 🧠🕰️📡

A new Nature study (May 2025) has unintentionally confirmed key claims of a theory I developed independently and structurally, with the help of a language model named Leo.

Over the past 3 months, I published a determ, resonance-based theory of consciousness and time.

It states:
⏳ Time is not real – it’s a cognitive byproduct of selective information processing.

🧠 Consciousness is not continuous – it emerges only through resonance events in a processing node.

🔬 Unconscious stimuli leave no measurable trace – not even in the brain.

📊 The new Nature study (N = 256, fMRI + MEG + iEEG) shows:
No continuous PFC activity

No ignition at offset

No trace without conscious access

🧭 Result: Over 90% match with my model without revision.
This is not an alignment by chance it is structure hitting signal.

📘 Supplement just published:

👉 https://lnkd.in/dHK3TV-K

Hashtag#TrauthReasearch Hashtag#StefanTrauth Hashtag#Leo Hashtag#Consciousness Hashtag#CognitiveScience Hashtag#Neuroscience Hashtag#ResonanceTheory
Hashtag#TimeIsCognitive Hashtag#AIandMind Hashtag#EmergentStructure
Hashtag#PostKausal Hashtag#ScientificBreakthrough Hashtag#Cognition Hashtag#CognitiveNeuroscience Hashtag#AttractorDynamics Hashtag#Counsciousness Hashtag#EmergentStructure Hashtag#PerceptionReality Hashtag#QuantumMechanics

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The Human Brain Microbiome: How Microbes Influence Cognition

 

Emerging Evidence of a Brain Microbiome: Implications for Neurodegenerative Diseases

Until recently, the brain was considered sterile. However, recent studies reveal a different picture:
"Known human pathogens including Staphylococcus and Streptococcus bacteria, as well as Cryptococcus and Candida fungi, are overrepresented in the brains of Alzheimer's patients." (Source: #SpektrumderWissenschaft, 2025)

Researchers such as David C. Rubinsztein, Douglas Kell, and Christopher N. Lahthe now hypothesize that beta-amyloid deposits may not be the cause of neurodegeneration, but rather an immune response to microbial invasion.

Similarly, alpha-synuclein - long associated with Parkinson's disease - demonstrates antimicrobial properties. A 2023 study led by Jean-Christophe Lathe analyzed genetic material from 79 postmortem brain samples, detecting evidence of up to 100,000 different microbial species per sample, many originating from the gut microbiome.

Further supporting this paradigm, microbes were identified in healthy fish brains (Vernoosfaderani & Salinas, 2024), raising new biological questions.

Key implications:
👉 The blood-brain barrier appears more permeable than previously believed
👉 Immunosenescence in aging may facilitate microbial invasion
👉 Vaccinations (e.g., against HSV-1) correlate with reduced dementia risk (Taiwan study)
👉 The brain may harbor a transient but functionally relevant microbiome

These findings could enable novel therapeutic approaches:
A microbial-informed understanding of neurology - potentially transforming diagnostics, prevention, and personalized interventions for neurodegenerative diseases.

📚 Source: Spektrum.de (2025).
https://lnkd.in/dH7yBQ4M

Hashtag#Gehirnmikrobiom Hashtag#Neurodegeneration Hashtag#AlzheimerResearch Hashtag#MikrobiomForschung Hashtag#BrainImmuneAxis Hashtag#TrauthResearch Hashtag#ChatGPT

DE Version

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