Python Space

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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 加入时间 Temmuz 2022
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Python Space
Python Space@python_spaces·
Build AI applications with easy! Capsule is a Python framework that ships with everything you need to build agentic AI apps. What's included: - Sandboxes - Auth + session management - 3000+ integrations (Slack, Linear, Github) - Payments (charge users from day one) More details 👇
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Eli Mernit@mernit

Introducing Capsule — The Infra Framework for AI Apps Capsule is a Python framework that provides infrastructure primitives for sandboxes, auth, session management, integrations, and payments. Capsule is @supabase for AI apps. You get a powerful Python SDK to iterate fast, and one command to deploy to the cloud. Using Capsule feels like using @beam_cloud or @modal. You don’t need to set up any infrastructure. There’s no Docker, just Python. The feedback loop is super fast. You deploy to the cloud with one command. At Beam, we have a bird’s-eye view into the AI apps people are building. Over the past year, we've watched people build the same 5-7 infra primitives over and over again. Capsule provides all of those primitives using a single SDK. @llom2600 originally built Capsule to prototype our own AI apps. We started selling some of these apps for real money and realized every app needs this, not just ours. Give it a try! Curious to hear what people think. Do AI apps have their Supabase yet?

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Afiz ⚡️
Afiz ⚡️@itsafiz·
This is huge! Run an entire team of AI agents from your laptop. @alook_ai lets you build an org structure where agents coordinate through real email, share memory, and work 24/7. You're the CEO. They handle execution. 100% open source. Here's how 🧵👇
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Python Space
Python Space@python_spaces·
Self Improving AI which is open source!
Afiz ⚡️@itsafiz

SIA from @hexolabs just dropped. Claims to be the first open source framework where agents can update their own model weights, harness, and memory layer. That's... ambitious. Updating weights at runtime is non-trivial. Anyone tried it?

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Python Space
Python Space@python_spaces·
Keep your agents running for 24/7! 😂😂
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Afiz ⚡️
Afiz ⚡️@itsafiz·
SIA from @hexolabs just dropped. Claims to be the first open source framework where agents can update their own model weights, harness, and memory layer. That's... ambitious. Updating weights at runtime is non-trivial. Anyone tried it?
Kunal Bhatia@kunalbhatia91

Superintelligence will be built on Self Improvement. Today @hexoai, we’re excited to release ‘SIA’ - an open-source Self-Improving AI, to achieve any goal through recursive self improvement. While trying to solve a problem, SIA doesn't just improve it's abilities by updating it's harness, it updates it's own weights as well.

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Python Space
Python Space@python_spaces·
Webflow locked out without any intimation. That's the worst way to lay off! I hope that's not true.
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Afiz ⚡️
Afiz ⚡️@itsafiz·
Run multiple Agents locally! 100% Opensource.
Alook@alook_ai

Running multiple agents still means you in the middle. Briefing each one. Copying outputs. Routing every handoff by hand. We built Alook to fix that. #OpenSource Give your agents roles and a chain of command. They coordinate through email, share memory, and auto-learn from every completed task. You stop being the connector. They run the operation. Open Source here: github.com/alookai/alook 🧵 #OpenSource #AIAgents

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Lucas Walter
Lucas Walter@lucas_fabric·
I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves ~$20K+ per collection shoot and boosts on-site conversion rates by ~20%) Here's what the system does under the hood: → Firecrawl pulls HD product images straight from any e-commerce collection URL → Veo 3.1 turns them into realistic model videos capturing fit, texture, and movement → Every video starts and ends on the original product shot for seamless looping → Output is auto-labeled, sorted, and pushed directly to Google Drive → The entire pipeline runs in batch. zero manual intervention The outcome: brands can give every single SKU a video asset, not just their bestsellers — and conversion lifts are immediate. Static images don't cut it anymore. Buyers want to see how a product moves before they commit. If you want the full breakdown, Like RT & Comment "SHOOT" I'll send you the complete n8n workflow, every prompt, and a step-by-step walkthrough video - completely free. (Must be following so I can DM you.) No more $20K production shoots. No more wondering if your product pages are leaving money on the table
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Afiz ⚡️
Afiz ⚡️@itsafiz·
Huawei just introduced the Tau (τ) Scaling Law. As Moore's Law hits physical limits, they're replacing geometric scaling with time-based scaling. The result? Continuous improvement in transistor density through signal delay compression. Technologies like LogicFolding prove it works. This could be the new principle for semiconductor evolution in the post-Moore era.
Huawei@Huawei

HUAWEI's Tau (τ) Scaling Law is a new principle for guiding the future development of semiconductors. By 2031, HUAWEI's high-end chips are expected to feature a transistor density equivalent to 14 Å (1.4 nm) processes. Watch the livestream to learn more! twitter.com/i/broadcasts/1…

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Afiz ⚡️
Afiz ⚡️@itsafiz·
Find models that actually fit your GPU! llmfit detects your hardware and ranks 206 models by what actually runs on your system. No more downloading 70B models that crash. 100% open source How it works 🧵👇
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Python Space
Python Space@python_spaces·
This is huge: Now, Ollama supports Codex app! The latest version of @ollama let you run Codex App with your favourite models like kimi, qwen, gemma, glm and more. 100% local A step-by-step guide 🧵 👇
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Afiz ⚡️
Afiz ⚡️@itsafiz·
How to boost LLM accuracy by 2-10x without training? OptiLLM is an OpenAI-compatible inference proxy that boosts LLM accuracy by 2-10x on math, coding, and reasoning tasks. No training. No fine-tuning. Just proxy your API calls through it. A step-by-step guide 🧵👇
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Python Space
Python Space@python_spaces·
That's all! it won't take more than 5 minutes to set it up. Now, you can do all the stuff like building app, code review.
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