Omar

BTS with one of my faves from the latest FlowZed production batch 🍂 Fully custom piece featuring BTC orange lining and a gradient exterior which look so cool in silk

BTS tracking guitar parts for FlowZed’s latest Instagram Reel 🎸

how many people are OG enough to recreate this image? 📱

Not sure if it’s smarts or just that bit more experience but it’s always great to guide people gently over the slippery slope that is F1 fandom

Non-fungible but highly funkable 🎵🎸

Sakura on Royal Purple, cut in pure English silk. The on-chain future set against deep-rooted tradition. A jacket created once, for one - The Merkle Tree no.5043 {Royal Purple/Sakura}

It takes a lot of silk to get the right drape, feel on the skin & depth of colour for my artworks on the garments - over 1.5 lb for a single piece!

At the E-Prix in London 🏎️ ⚡️

Graduating from Oxford University today with an MSc in Nanotechnology! 🧬 🔬

A couple of pieces from my capsule of tokenised 1-of-1s 🍂

Sticky toffee pudding is the GOAT dessert

7 years ago I started this Generative AI project. I built and trained a Generative Adversarial Network (remember GANs?) to compose new music for the Japanese "shakuhachi" flute, after winning a competition by shakuhachi master Shawn Head. These were the first ever pieces of contemporary chamber music to be fully written by deep neural networks. Performance by Shawn Head recorded at Girton College, Cambridge University. https://www.youtube.com/watch?v=BubH5CVH6ug&list=RDBubH5CVH6ug&start_radio=1

detail shots ✨ no.5028 from my capsule collection of tokenised 1-of-1s!

Just read the "TradingAgents" paper by Tauric Research that's been trending Give different LLMs specific roles each (e.g. analyse reddit data, technical fundamentals, make the actual trade decision), and just coordinate them in an agentic framework. The crazy part for me? NO actual training/fine-tuning of the LLMs involved at all. They used various OpenAI models out of the box. I dug into the code and this one line in the prompt seems to encapsulate all iterative improvement: "Take into account your past mistakes on similar situations. Use these insights to refine your decision-making and ensure you are learning and improving... Here are your past reflections on mistakes" It's a purely agentic innovation. https://tauric.ai/research/tradingagents/

Which palette/aesthetic from our Tokyo shoot is more memorable? A - burgundy/mahogany 🪵 B- purple/sakura 🌸

Self-improving AI? 🤖 That's the claim by Sakana AI in their recent paper, "The Darwin Gödel Machine" - "AI that improves itself by rewriting its own code". I just finished reading the paper and it's not as scary as it sounds! They built an AI *Agent* that can edit its own code, but the underlying LLM (mostly Claude 3.5 Sonnet or o3-mini) stays fixed. Still a long way from AI actually inventing new ML architectures and training its own upgrade. We're safe - for now 😅

Some BTS of our shoot in Tokyo a couple of months ago 🗼 Model wearing piece #5043 from my capsule of one-of-ones Sakura on Sakura 🌸

Wearing the first FlowZed silk bomber. 1 of 1 🍂

Importance of aligning a high quality silk satin with the direction of the weave 🧶 These two pieces of fabric are the exact same colour! One is correctly aligned with the warp yarn, the other with the weft instead 🌈 A fabric with a brilliant sheen like this silk exaggerates the mistake, scattering light so differently that the hues don’t visibly match

Put some of my silk under an electron microscope 🔬 At 2000x magnification the fibres remind me of banyan trees I saw on a recent trip to Hong Kong