papers: 1/ https://
techxplore.com/news/2025-10-n
euromorphic-prototype-patterns-traditional-ai.html
… 2/ https://
nature.com/articles/s4417
2-025-00479-2
…
@godofprompt
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New Research on Neuromorphic Computing Prototypes and AI Patterns
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Neuromorphic chips: A brain-inspired solution for AI energy efficiency
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TL;DR for normal people: your brain runs on about 20 watts. a GPU running AI models burns hundreds of watts. that’s a problem if you want AI everywhere. researchers built a computer chip that works more like a brain. instead of doing billions of calculations constantly, it only
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Neuromorphic Computing as a Solution for AI Scaling and Energy Limits
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why this matters beyond the power savings: current AI is hitting physical limits. you can’t keep scaling datacenters forever. the energy costs are already insane and getting worse. neuromorphic computing doesn’t just use less power. it enables entirely new deployment scenarios:
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New neuromorphic chip mimics biological neurons for energy-efficient AI
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researchers built a chip that thinks like your brain and uses 1% of the power this breakthrough is massive. it’s a completely different computing paradigm that actually works. here’s what they did: • designed hardware that mimics how biological neurons process
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Using AI Prompts for 3D Glassmorphism Profile Card Generation
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1/ Attach a screenshot of your bio.
2/ Use this prompt:
Recreate my image following the JSON aesthetic below: {
"title": "3D Glassmorphism Profile Card — Photorealistic",
"description": "A photorealistic 3D-rendered social media profile card with glassmorphism, held between two -
Casual usage of ChatGPT for image generation
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Creating images with ChatGPT is a lot of fun. Prompt
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User reports reduction in errors using ChatGPT reasoning
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it greatly REDUCED them overall when I used ChatGPT thinking.
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Free Prompt Engineering Guide and Resources
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10x your prompting skills with my prompt engineering guide → Mini-course
→ Free resources
→ Tips & tricks Grab it while it's free ↓ https://
godofprompt.ai/prompt-enginee
ring-guide
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RL Progress: From Human-Driven Intuition to Direct Machine Search
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why this breaks everything: RL progress has been bottlenecked by human intuition. researchers have insights, try variations, publish. it takes years to go from Q-learning to DQN to PPO. now you just let the machine search directly. millions of variants in weeks instead of
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DeepMind AI Develops Self-Improving Learning Algorithms
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TL;DR for normal people: imagine you're teaching a robot to learn. humans spent decades figuring out the "best ways" to teach machines (called learning algorithms). deepmind built an AI that invents its own teaching methods. and they work better than ours. why it matters: →