Replit is now live on the @Claudeai Marketplace, Anthropic’s ecosystem of Claude-powered tools for enterprises. If your team already works with Anthropic, you can access Replit through your existing spend commitment. With Replit on the Claude Marketplace, you get
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SOFTWARE
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Replit Now Available on Anthropic’s Claude AI Marketplace for Enterprises
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Building AI Workflows with Sim.ai and Claude Desktop
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To build this, I used Sim. Get started here: http://
sim.ai Tech Stack: – @simdotai to build and deploy the workflow
– @firecrawl for web search
– Claude Desktop as the agent (though any agent that supports MCP works here) And if you prefer full control, Sim has a -
AI’s Impact on Codebases: A Termite Analogy
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Brilliant quote: “AI is to codebases as termites are to wooden houses.” It might get wild.
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Personal AI Setup: CLIs vs. MCP Servers in Different Contexts
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All the Math You Missed (But Need to Know for Graduate School) [2nd Edition]: http://
amzn.to/3JAodqk
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#Mathematics #LinearAlgebra #Calculus #Topology #NumberTheory #Combinatorics #Algorithms #AnalyticGeometry -
Opinion: Tmux’s default experience is poor and alienates regular users
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Give Tabular Data some Luv Book — #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI — at http://
amzn.to/41J8WA6 +
Neural Networks for Tabular Data: https://
nature.com/articles/s4158
6-024-08328-6
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GitHub Code: https://
github.com/PriorLabs/TabP
FN
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#DataScience #DataScientist #ML -
Codex App: AI Transforms Software Development Into Task Delegation
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holy sht.. AI just changed how software gets built. Codex App might be the closest thing to a GPT-3 moment for development. For years, AI coding tools lived inside terminals. Claude Code, Codex CLI, all incredibly powerful, but they still felt like tools built by developers, for developers. Flexible? absolutely. But also fragmented, full of setup, plugins, MCP servers, and custom workflows. Great for engineers. Not exactly a product for everyone else. What Codex changes isn’t just the model. It’s the interface of development. Instead of stitching together tools, environments and scripts, you simply talk to the system. Behind the scenes, agents read your codebase, modify files, install dependencies and execute tasks. Software creation starts to feel less like programming and more like delegating work. The moment it clicked for me was simple. During the OpenClaw wave I bought a Mac mini and set up a fresh environment. Normally the first installs would be npm or brew. This time it was Codex. I gave it full access and asked it to install everything needed to run the project. Dependencies, environment setup, configuration, runtime. All from a single prompt. Watching the system configure itself without touching the terminal once felt like looking at the next interface of computing. Not because AI wrote code. But because the computer started executing intentions instead of commands. Most people think AI will democratize coding by generating code faster. But that’s not the real shift. The real shift is that software development is slowly moving from writing code to assigning tasks to agents. Historically computing had three main interfaces. CLI for engineers, GUI for consumers, APIs for systems. AI introduces a new one. The agent interface. You don’t operate the software anymore. You tell systems what outcome you want and they orchestrate the process. If that interface becomes mainstream, the impact goes far beyond coding. It changes how startups are built, how products are shipped, and how technical the world needs to be to create software. Codex App might be one of the first glimpses of that future.
→ View original post on X — @arrakis_ai, 2026-03-06 12:32 UTC
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SAGE-RL: Simple RL Training Modification
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then they fold it into training with SAGE-RL. dead simple modification: in standard reinforcement learning (GRPO), you sample 8 responses per question. SAGE-RL replaces 2 of those 8 with SAGE-generated samples. the other 6 stay normal. one-line code change. the model learns to
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OpenAI announces GPT-5.4 with 1M token context and extreme reasoning
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And same in bullet points, thanks to @blevlabs
's AI agent he and I built together. Here's what OpenAI announced today (March 5, 2026):
• GPT-5.4 launched — new frontier model with 1 million token context window, "extreme" reasoning mode, and the ability to interrupt the model -
Automated AI community report using cognitive architecture and APIs
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Thanks @blevlabs for giving me access to your incredible cognitive architecture and hooking it up to X's API so I could grab all posts from X's AI community here to make a report, which I then brought over to Google's Notebook LM to make this. All without doing any human work.
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GPT 5.4 release impact on developers and AI agents video
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What does @OpenAI GPT 5.4 (just released this morning) mean for developers?
— Robert Scoble (@Scobleizer) 6 mars 2026
You talked about it. My AI agents read it. Wrote a report. Sent it over to @NotebookLM. Which made this video. Using the new cinematic quality released yesterday.
This was all built with your posts from… pic.twitter.com/4SHT2IGd1oWhat does @OpenAI GPT 5.4 (just released this morning) mean for developers? You talked about it. My AI agents read it. Wrote a report. Sent it over to @NotebookLM
. Which made this video. Using the new cinematic quality released yesterday. This was all built with your posts from