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Python Space

Python Space

@python_spaces

Full-time Python Engineer - Sharing daily insights on Python, ML and AI. - DM/[email protected] for collaboration - Open for opportunities

Remote Katılım Temmuz 2022
211 Takip Edilen104.6K Takipçiler
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Python Space
Python Space@python_spaces·
Speech-to-text models keep guessing wrong on the words that actually matter. Brand names become common words. Medical terms get butchered. Project codes vanish. AssemblyAI Universal-3.5 Pro fixed this with contextual prompting. Feed it your domain context and it stops guessing. Here's how it works 🧵👇
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Python Space
Python Space@python_spaces·
This literally change the way we write docs for Agents. OpenWiki is a CLI that writes and maintains agent documentation for your codebase. Open source
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Afiz ⚡️
Afiz ⚡️@itsafiz·
Your AI agent re-learns your codebase every session. The Linear ticket that started the work? Lost in browser history. Yesterday's architectural decision? Gone with the session. You pay full price in tokens to rediscover what it forgot. Jolli Memory fixes this 🧵👇
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Python Space
Python Space@python_spaces·
Speech-to-text models keep guessing wrong on the words that actually matter. Brand names become common words. Medical terms get butchered. Project codes vanish. AssemblyAI Universal-3.5 Pro fixed this with contextual prompting. Feed it your domain context and it stops guessing. Here's how it works 🧵👇
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Hank Taylor
Hank Taylor@theHankTaylor·
DevOps guy spent half a call explaining what @vercel is to me, including a couple phrases I definitely wrote on the .com when I was VP Marketing there I didn't have the heart to tell him, just smile and nod 😅
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Python Space
Python Space@python_spaces·
Not gonna lie — I was skeptical when I saw this robot in my feed. Another humanoid? Another hype cycle? But the more I looked into it, the more I realized I'd never seen anything quite like Q1. It's at the AI for Good Summit in Geneva. It's 80cm tall. It's the first personal humanoid robot ever built — and it actually looks like something you'd want in your home, not just in a museum. I've been burned by too many overpromised tech products. But this one feels different. Like they actually thought about the person on the other end, not just the investors. Anyone else feel like personal robots are finally becoming real? Or am I just getting my hopes up?
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Python Space
Python Space@python_spaces·
I tested Tencent Hunyuan Hy3 with a small agent-building prompt on OpenRouter. Prompt I used: “Build a simple AI agent that turns a user request into a step-by-step action plan.” I wanted to see if Hy3 could turn a simple instruction into something closer to real product logic. The result was clean. Hy3 created an agent flow that started from the user request, understood the intent, broke the task into steps, and prepared a final action plan. That’s useful because most AI agents need more than just answers. They need structure. My takeaway: Hy3 feels strong for agent-style workflows where the model needs to reason step by step and keep the output organized. For builders working on AI assistants, automation tools, or workflow agents, this is worth testing. Try Hy3 on OpenRouter: openrouter.ai/tencent/hy3:fr… @TencentHunyuan #Hy3 #Hunyuan #TencentAI #AIAgents
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Python Space
Python Space@python_spaces·
How to become an AI Engineer in 2026? Andrew Ng just dropped this course on DeepLearning Platform. - 9+ hours - 31 video lessons - 7 Code Examples Get started for Free. Find the course link in 👇🧵
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