Black mirror is a documentary of the future.
AI
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X-Fly Ornithopter Uses Bird-Inspired AI Control Systems
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X-Fly: The Ornithopter That Tames Wing-Flap Chaos with Bird-Inspired Control
— Ronald van Loon (@Ronald_vanLoon) 26 avril 2026
via @IlirAliu_
#EmergingTech #Technology #Innovation #Tech pic.twitter.com/rw5yqbhq0OX-Fly: The Ornithopter That Tames Wing-Flap Chaos with Bird-Inspired Control
via @IlirAliu_ #EmergingTech #Technology #Innovation #Tech -
AI Motion Graphics Workflow: From Prompt to Rendered Video
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this guy literally built the craziest workflow for generating AI motion graphics inside Codex with @Remotion 🤯
— Charly Wargnier (@DataChaz) 26 avril 2026
Watch @rileybrown take you from a basic "Hello World" prompt to a fully rendered video with @suno ↓pic.twitter.com/KBoH9j7vP7this guy literally built the craziest workflow for generating AI motion graphics inside Codex with @Remotion Watch @rileybrown take you from a basic "Hello World" prompt to a fully rendered video with @suno ↓
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AI Assistant Catches Critical Use Cases in Feature Development
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Multiple times I’d read its rationale behind certain decisions and have my mind blown, or it’d catch use cases I didn’t consider. I was working on a big feature and it flagged a part I was completely missing, something that didn’t even cross my mind. That feeling of it going
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Building Anything: The Optimism of AI Capabilities
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That, and just the sheer optimism you feel knowing you can build anything you want now
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Workshop on Crafting Perfect Prompts for Claude
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Este taller de los creadores de Claude te enseña a crear prompts perfectos:
— Nico (@nicos_ai) 26 avril 2026
→ Estructura de un buen prompt
→ Qué necesita Claude para entenderte
→ Casos prácticos reales
→ Crean 1 prompt de ejemplo paso a paso
Muy recomendado 👇 https://t.co/lH423WEcH5This workshop by the creators of Claude teaches you how to create perfect prompts: → Structure of a good prompt
→ What Claude needs to understand you
→ Real practical cases
→ They create 1 example prompt step by step Highly recommended -
Transformers History: From Attention Mechanisms to Modern AI
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Transformers were published in 2017 (by Google), but was based on work on attention and associative memory by University of Montreal and FAIR 2 years earlier. And they use neural nets and backprop that were popularized in the late 1980s. Oh, and GPUs are based on work by Bill
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User behavior shifts with advanced AI models like GPT 5.5
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I’ve found myself being much “nicer” to gpt 5.5, going out of my way to compliment the work in ways I never did before. It feels like working with a higher intelligence. I was never rude to other models, but caught myself being more aggressive in the past.
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RAG-as-a-Service with Generative AI on Amazon Bedrock
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RAG-as-a-Service with Generative AI Application using Amazon Bedrock! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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RAG Implementation in Azure AI and Cloud Computing
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RAG in #Azure AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/RAG-Azure References Arinco (Ravi, G.). (2024,