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 Joined July 2022-
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Python Space retweeted
Tested Nebius AI Builder Program this morning. Swapped the model under a running agent. Nothing broke. Swapped the retrieval layer. Everything kept running. That's the real test of a composable stack. What you get: → $400+ in credits on day one → OpenAI compatible endpoints → Every primitive swappable → Free to join dev.nebius.com/builders
The Nebius AI Builder Program is now available. AI isn’t just a model you call anymore. It’s a system you build. And builders, not a few closed labs, will decide what it becomes. The open ecosystem has all the pieces. We want to make it easier to put them together and start
Python Space retweeted
I just got access to Jev I will explore it next few hours. Thanks @typesafeai
@chenzhangreal @typesafeai All the best
Python Space retweeted
Can you chat with Jev? @typesafeai The simple answer is NO. If you ask this or any question to any regular LLM, it tries go generate paragraphs, but Jev just responds with structured decisions in fraction of seconds.
I just got access to Jev I will explore it next few hours. Thanks @typesafeai
@QueritAi The interesting question is how well it preserves the details developers need for implementation.
Coding Search from Querit is designed to turn technical discovery into context that agents and IDEs can actually use.
Querit Coding Search is here. ⚡ Built for Code Agents, IDEs, and coding apps that need more than generic web results. → Professional coding sources → Coding-aware retrieval → Agent-ready context From How-to questions to complex engineering tasks. Built for Coding. Context
Python Space retweeted
In simple words, what is not Jev? Jev is not a traditional LLM and it doesn't generate text.
Python Space retweeted
Is there any better terminal than warp? app.warp.dev/referral/7JN5MW
@hollylawly I am very much interested in deved/devrel as I have experience in building dev communities :)
@KhalidAlNumi $20,000 .. I will work fulltime for opensource and help the society
@CollovLabs It's time to get Meta glasses and try this out :)
Python Space retweeted
Meet your visual AI agent by Collov Labs: seeing what you see, responding naturally, and helping you get things done. Hands-free. Look. Ask. Act. Through your Meta glasses. Powered by hybrid on-device + cloud intelligence: lightweight processing stays local, with deeper cloud reasoning when needed. Designed to reduce redundant processing and make every cloud token count. Put on your Meta glasses. Bring NewEyes into your day. Download: neweyesai.com Watch it in action ↓
Python Space retweeted
Turning a nut calls for a different kind of control than shaking a cocktail. The range from quick arm movements to careful finger work is pretty compelling here.
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids. - learned directly from human manipulation data - no teleop/robot data - close to human-level dexterity and efficiency - multi-robot collab
@rork That's a very handy feature to have. No manual recording and upload to agent chat. Great stuff.
Python Space retweeted
Gradio Docs MCP server + Cursor is a proper time-saver. It gives your @cursor_ai direct access to the latest @Gradio docs No more hallucinated UI components from outdated training data. No more copy-pasting API references into the chat Just ask, and it pulls what you need Worth the 5-minute setup if you build with Gradio
Python Space retweeted
The best stack is the one you can swap out. Swapped the model under a running agent. Swapped the retrieval layer. Nothing broke. That's the test. Nebius AI Builder Program ships with $400+ in credits and every primitive swappable. Free to join: dev.nebius.com/builders
The Nebius AI Builder Program is now available. AI isn’t just a model you call anymore. It’s a system you build. And builders, not a few closed labs, will decide what it becomes. The open ecosystem has all the pieces. We want to make it easier to put them together and start
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