SDE • Prev Lead Collab @oppiaorg • @microsoft SAmbassador • Blogger (1.1M+ Reads), Mod @ThePracticalDev / @freeCodeCamp • AI/agent projects beyond the obvious

Kathmandu, Nepal
Guys, do check it out ✌️
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Shrijal Acharya retweeted
I sincerely believe Go-lang and Rust will be the language of the AGI.
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one great way to test AI models locally!!
Sometimes you might want to run AI models locally without bloating your computer or taking up too much space. And you can do this using Azure + Docker to set up a virtual machine that runs the models inside a container. Here, @shricodev walks you through the process step by step. freecodecamp.org/news/host-l…
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Shrijal Acharya retweeted
can we stop having all these ai releases. im tired man.
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You should spend a couple hours a week coding by hand. It's good for your brain.
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la vida antes de este tweet:
today we launched ChatGPT. try talking with it here: chat.openai.com
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Shrijal Acharya retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
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Shrijal Acharya retweeted
GPT-6 Astra has done incredible things I never thought a model could do. It has also done some of the stupidest things I've ever seen a model do. Generally speaking, Fable 5.1 just does what I ask.
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35 years strong. 🐧🧡 Happy birthday, Linux.
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If you’re working with Kubernetes, Keda and all sort of agentic AI workflows, this could be your read.✌️ You’ll learn to build durable autoscaling agent runtime.
Long-running AI agents need to be able to handle crashes and scale to fit workflows. In this guide, @shricodev shows you how to build a durable, autoscaling agent runtime. You'll use Temporal for retries and recovery, Composio for tool use, Docker and Kubernetes for deployment, and KEDA to scale workers based on workload. freecodecamp.org/news/how-to…
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Shrijal Acharya retweeted
The perfect play for OpenAI is to completely kill Anthropics momentum by releasing new GPT model in 1 hour. They have done this before
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This is exactly what I see happening with the new Opus 4.8 release.
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Shrijal Acharya retweeted
benchmarks are stupid for models Just ignore them
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Shrijal Acharya retweeted
Sometimes you might want to run AI models locally without bloating your computer or taking up too much space. And you can do this using Azure + Docker to set up a virtual machine that runs the models inside a container. Here, @shricodev walks you through the process step by step. freecodecamp.org/news/host-l…
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Shrijal Acharya retweeted
everybody calm down. i got this.
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Wow! Got this for the first time after years of writing. Thanks @ThePracticalDev 🫡
Congrats to our top 7 authors! This week: building a LAN speaker, digging into what is causing the latest Big Tech layoffs (it's certainly not financial troubles), and much more. Great job @shricodev, @ahmershah29, @tibtof, @minirobbo, and the rest. dev.to/devteam/top-7-feature…
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Shrijal Acharya retweeted
Nvim 0.13 gained vim.ui.img, a stdlib interface for displaying images. - useful for markdown files, directory browse, picker preview, ... - ~small interface + impl cost. mostly a protocol change. - placement will be handled by extmarks or floating windows. - no builtin codec, not going to vendor a jpeg library.
the vim.ui.img API for displaying images is now merged to @Neovim master. the result is a nice simple interface, despite a lot of pull in the other direction. idk why, but somehow these PRs for new modules always start with the most insanely complex implementations, instead of asking "what are the primitives that we absolutely need", and leaving the rest for later. this PR started with: - support for sixel, iterm2, kitty - new "provider" layer - async support?? - different concepts and "address spaces" for placement vs data and it ended with: -- Create: local id = vim.ui.img.set(…) -- Update: vim.ui.img.set(id, { row = 8, col = 12 }) -- Get: local opts = vim.ui.img.get(id) -- Delete: vim.ui.img.del(id) yeah, an LLM would have been fine (ecstatic!!) with rev1. think about that.
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Shrijal Acharya retweeted
Codex Computer Use is the most amazing technological capability I've ever personally witnessed. When AI can do anything you can do on your computer... 24/7 No sleep The question becomes: > What's worth it to do on a computer?
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What a thing this is. Woow
Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.
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7 years ago
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