Category Archives: Artificial Intelligence

50 technologies that would make hearing aids work better according to artificial intelligence

“imagine a hearing aid that uses artificial intelligence to read lips, and puts it in context of the sounds being made to give the wearer a better guess of what is being said.  these are better than hearing aids that just interpret sounds.

tell me 50 different technologies that would make this work. in other words, give me 50 independent options that are unlike the other methods. number them 1 through 50. make each point be no more than 10 words. be as science fiction as you would like. the technology does not have to exist yet.”


Neural networks trained on lip reading datasets.
In-ear cameras and computer vision algorithms.
Microphones with directional audio processing.
Voice recognition algorithms for speech-to-text transcription.
Wearable EEG sensors for brainwave analysis.
Binaural audio processing for sound localization.
Natural language processing for context interpretation.
Audio-to-text machine translation for multilingual support.
Facial recognition algorithms for speaker identification.
Machine learning algorithms for adaptive noise cancellation.
Sound recognition algorithms for environmental awareness.
Real-time speech synthesis for voice feedback.
Eye-tracking technology for visual cues.
Ultrasonic sensors for distance measurements.
Haptic feedback for tactile communication.
Wearable motion sensors for gesture recognition.
Augmented reality displays for visual aids.
Wireless networking for remote communication.
Cloud computing for distributed processing.
Cybersecurity for data protection.
Mobile app integration for customization.
On-device storage for offline use.
Flexible display technology for screen size optimization.
Voice assistants for hands-free operation.
Quantum computing for faster processing.
Brain-computer interfaces for direct communication.
Augmented cognition for cognitive enhancement.
Electroencephalogram for cognitive activity monitoring.
Near-infrared spectroscopy for brain oxygenation measurement.
Transcranial magnetic stimulation for brain stimulation.
Transcranial direct current stimulation for brain modulation.
Neuroprosthetics for artificial hearing.
Cochlear implants for hearing restoration.
Adaptive feedback for personalized settings.
Machine vision for facial expression recognition.
Emotional intelligence algorithms for affective computing.
Intelligent agents for human-like interaction.
Biofeedback for stress reduction.
Wearable biosensors for physiological monitoring.
Machine learning algorithms for personalized language models.
On-chip machine learning for embedded processing.
Neuromorphic computing for energy efficiency.
Carbon nanotubes for flexible electronics.
Biocompatible materials for implantable devices.
3D printing for custom-fit devices.
Wireless charging for convenience.
Energy harvesting for sustainable power.
Secure element technology for authentication.
Quantum encryption for secure communication.
Blockchain technology for decentralized data management.

Say Hello to AI-website and Crypto NFT project

The first two modest projects of 1000 Startups LLC are and . is a very basic WordPress site that shows what artificial intelligence can do with songwriting. But what was really interesting, and what I need to get back to, are what I learned about the WP plug-ins available out there to do complex AI tasks. is a derivative NFT collection based on the The Fuckin’ Trolls, a collection originally distributed in 2021. I’m using the Friends to test my theory that it’s more productive, with less heavy lifting, to plug into an existing NFT community, than to build your own. We are producing additional derivative NFT collections.

20 Insurtech Trends according to Artificial Intelligence

I asked Chatgpt for 20 Insurtech trends. Aside from screwing up the percentages adding up to greater than 100%, artificial intelligence seems to nail it again.

  1. Increase in usage-based insurance
  2. Growth in smart home technology
  3. Expansion of telematics for risk assessment
  4. Rise of on-demand insurance models
  5. Growing popularity of peer-to-peer insurance
  6. More personalized and tailored coverage options
  7. Increase in cyber insurance demand
  8. Emergence of blockchain technology in the industry
  9. Greater focus on sustainability and environmental impact
  10. Expansion of microinsurance in developing markets
  11. Consolidation of smaller insurance companies
  12. Increased use of artificial intelligence and machine learning
  13. Implementation of predictive analytics for risk assessment
  14. Shift towards gig economy and freelance work
  15. More stringent regulations and compliance measures
  16. Increase in natural disaster-related claims
  17. Growth of health and wellness programs
  18. Rising cost of healthcare and medical expenses
  19. Increased use of virtual reality for training and risk assessment
  20. Greater focus on customer experience and satisfaction

Writing music with ChatGPT in MusicXML and converting to musical notation

Ok, after some trial and error, I think I figured this out. I told ChatGPT to write a 4-note beat directly into MusicXML code. Then I uploaded that code to NoteFlight to generate the score. You can have NoteFlight then play it or play it yourself. Success!

The instructions and output:

I copied the XML code (upper right link) into a txt document. I changed the extension of that txt document to .musicxml. Then went to NoteFlight and created a new score by uploading the .musicxml file.

The resulting score:

Using Artificial Intelligence to write songs, screenplays and books

Last month, I was talking about how the rapid expansion of public domain songs and films (and books, too, but I hadn’t got around to writing about that yet) represents a great opportunity to repurpose content for entertainment.

I was fooling around with ChatGPT tonight to rewrite some public domain songs, and make them something fresh and new, and it didn’t disappoint. This is so cool.

So here is “Lady Be Good” by the Gershwin brothers:

and here is how ChatGPT used it to write an entirely new song:

So that one was alright. But the next one is lights out. Here is “I’ll See You in my Dreams” by Gus Kahn & Isham Jones:

here is what ChatGPT wrote:

There will be a lot of entertainment content generated by artificial intelligence in this way. It’s just too easy to do and the results are clearly quality results.