Raising my sons (2 and 5) for the coming age of Bitcoin and AI. Doing the same for businesses as CTO at Syntelic, a UK AI consultancy.

Joined August 2019
109 Photos and videos
Using AI to build a learning path can be so much more valuable than consuming premade courses, books, YT videos. Custom learning path is unique to you and tailored to your needs and so you won't be wasting time relearning and redoing things you already know how to do. You'll have better chances for this to turn into something really great and unique. Books and courses are consumed by many and so the knowledge and skills they transfer are common. You'll have no edge. Your bespoke learning path is something most likely only you'll experience. Imagine what it can unlock.
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I'm not saying that it won't contain books to read / videos to watch but they'll be part of something greater.
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Before Fable got banned I used it to build me a path to get properly good at drones (both flying and engineering). It created two lanes with many practical lessons to which I need to provide evidence. Decided that it might help other people so I'll be sharing what I discovered. Many things are completely new for me.
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Props to @mattpocockuk for /teach skill. I used that and it was incredible with Fable
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Yesterday was my first time using logic analyser and seeing I2C communication between ESP32 and MPU6050. I use mpu because the drone kit I broke uses it so I want to understand it better. But I did my research and I know it's obsolete. Anyway I learned so much more by doing a practical project where I have to communicate with the board than by just reading about I2C.
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Jun 13
I decided I want to become an fpv drone expert. Not just flying them but building them from scratch and that means understanding everything happening on the flight controller board. Here's an ESP32 talking to an mpu6050 (gyro) over I²C, captured on a @saleae logic analyser.
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Jun 12
Learning about flight controllers. Took some photos with my microscope and annotated the regions of ELRSF4 2G4 V3.3 taken from Mobula6.
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May 8
I did some more tests with Kimi K2.6 locally on two Mac Studios via @exolabs measuring both parallel execution and optimal context size. Parallel requests scaled up to 8 concurrent calls reaching ~62 tok/s aggregate. For context length, ~85k prompt tokens was still fast, ~87k slowed down sharply, and 128k technically ran but took ~7.5 minutes.
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Apr 21
Managed to run Kimi-K2.6 on two mac studios via @exolabs. Got 21 tokens/s. Crazy to think it outperforms gpt-5.4 and opus-4.6 on some benchmarks and you can run it locally.
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Mar 30
I think the key to success is to blend the ancient and the bleeding edge of technology. The classical education (latin, greek, aristotle) with AI papers / hardware and robotics.
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Mar 24
heres my small ai lab I have atm. On one mac studio I do the dev work remotely from my phone or macbook pro. The other one is for extra compute (kimi, minimax). DGX spark for experiments. All connected with 10 gigabit ethernet.
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Jan 31
A night without AI agents working on the next feature for my product is a night wasted. For this reason I always go to sleep late because I feel I must finish working on the spec to feed it to the agent for the night
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dnixty retweeted
11 Nov 2025
Childhood has been so stripped down and made stupid by modern children’s programming with its insipid stories and idiotic music. Just 50 years ago, music, stories and artwork was not made worse because it was for children. Children are not retarded. They can handle complexity. And complexity does not always mean vulgarity.
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30 Sep 2025
Interested in children education, classical languages, Bitcoin and AI? Over the next 30 days, I'll be writing 30 Atomic Essays. Follow my Social Blog on @typeshare_co: typeshare.co/dnixty
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2 Nov 2025
Day 30:
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2 Nov 2025
I recommend Jason and the Argonatus from 1963 instead.
1 Nov 2025
no parent should ever expose their children to any post 90s disney content
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