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eonist/fringe software technologies.md

Created December 6, 2025 11:24
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fringe software technologies.md

Here are 10 fringe software technologies that could become mainstream in the coming years:

1. Neuromorphic Computing

Brain-inspired computing systems that mimic neural architectures for extreme energy efficiency. 2025 is considered the commercial breakthrough year, with chips like BrainChip Akida and Intel Loihi 2 enabling AI at ultra-low power. Technical targets aim for 100× efficiency improvements by 2030.[1][2]

2. Fully Homomorphic Encryption (FHE)

Encryption that allows computations on encrypted data without decryption. Apple already uses it in iOS for privacy-preserving caller ID lookups. Some experts predict mainstream adoption in 1-2 years, while others estimate 5-10 years due to performance challenges.[3][4]

3. WebAssembly (WASM) Beyond the Browser

WASM is evolving from browser tech to a universal binary format for servers, edge computing, and IoT devices. Projects like WASI aim to let code "run anywhere"—desktop, cloud, embedded systems—securely and portably.[5][6]

4. Agentic AI

Autonomous AI systems that can execute multi-step tasks, make decisions, and take actions independently without constant human intervention. This represents a shift from generative AI toward AI that actively orchestrates workflows.[7]

5. Edge AI & TinyML

Machine learning models running directly on microcontrollers and edge devices. Platforms like NVIDIA Jetson enable real-time AI inference locally, critical for autonomous systems, healthcare monitoring, and manufacturing.[8][9]

6. Quantum Software & Algorithms

Quantum-enhanced machine learning and optimization algorithms are moving from labs to business. Hybrid systems bridge current computing with quantum capabilities, with the "quantum internet" promising ultra-secure communications.[10]

7. Digital Twin Technology

Virtual replicas of physical systems that update in real-time for simulation, prediction, and optimization. Applications span manufacturing, urban planning, and healthcare.[11]

8. Spatial Computing & Mixed Reality

AR/VR evolving into fully immersive spatial computing integrated with the real world. Current applications include virtual offices, medical simulations, and remote collaboration tools.[12]

9. Explainable AI (XAI)

AI systems designed to provide transparent reasoning for their decisions. This addresses the "black box" problem and is becoming essential for regulated industries like healthcare and finance.[11]

10. Progressive Web Apps (PWAs)

Web applications with native-app capabilities—offline functionality, push notifications, and installation—delivered through browsers. These blur the line between web and native apps while eliminating app store friction.[11]

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@dernDren161
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dernDren161 commented Dec 6, 2025 •
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The rationale behind this gist is:

  • The best way to find winning ideas is by being prophetic, almost predicting how the world will evolve in the timeframe of next 6mths, 1-2 years, and take the product position early on. Now, after that, think about the corners, corners that incumbents are less interested to scoop, that's the edge, infact edges are literally these "corners". As Andre puts it, look into the "fringes". Like Young's double slit experiment, where the fringes escape from the flat hole and the main shadow, almost as outliers. That's what's needed, to be an outlier, you should be the outlier from the start. Also, from our previous conversation, being a contrarian(a fringe) is easy, because if humanity finds a crisis it will avert it, when it sees an opportunity it makes it competitive. So, fringes are the place to be, contrarian is the path that should be followed.
    cc: @eonist

@dernDren161
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dernDren161 commented Dec 6, 2025

Some of my fringes:

  • Robotic software don’t have orchestration engine. Multi fleet management is hard
  • Edge inference might be big, so edge observability and deployment makes sense.
  • The new scaling law “test time compute” again demands energy. So run time inference optimization might be huge.
  • People are safe today but anytime quantum comes in, Post quantum cryptography woukd be needed.
  • Compliance for autonomous agents/robots would be needed.
  • Digital fatigue is real. We need something like “Whoop for Knowledge workers”
  • Nowadays everyone is away from home, leaving their loved ones behind something like a socially assistive robot can relay their condition to caregivers.
  • Resources should optimize in real time using AI. Like take the observability telemetry and optimize for resources

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