Tech Guy Ver 1.0

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Claude Code vs Codex vs Cursor 3 tools that look the same Each one is strongest at a different way of working 1/ Claude Code is built around the terminal You give it a task on your own computer It reads the repo and runs the commands Then ships the change 2/ Codex is built around handing work off Send it bug fixes, tests and reviews from ChatGPT It works in the cloud while you do something else 3/ Cursor is built around the editor You stay in your code and it works next to you Tab completions and chat as you type To be fair they overlap a lot now All 3 now run in the terminal, in your editor and in the cloud But the main flow in each is still different So pick by how you like to work Claude Code if you live in the terminal Codex if you want to hand it off Cursor if you live in the editor The full guide has pros and cons plus 3 tools worth trying instead Comment CODE and I'll send it to you #claudecode #codex #cursor #aicoding #aitools

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How to survive the AI apocalypse 3 rules Everyone is posting AI doom right now The risks are real But the upside and the downside come together So you don't look away You learn how these things are built 1/ Learn their strengths and weaknesses Local AI runs on your own device Fast and private but not that strong These run on your laptop and are worth a look Parakeet turns your voice into text in 714 MB Whisper large v3 turbo does the same in 1.6 GB Qwen 2.5 0.5B answers questions in 397 MB Gemma 4 E2B fits in 1 GB of memory All of it works with the wifi off Cloud AI runs in the big data centers Way more power Claude Opus 5.5 and GPT-6 Astra for the hard problems GPT Image 2.5 Flare for fast pictures GPT Image 2.5 Sunburst for precise edits Seedance 2.5 for video 2/ Use that to your advantage Some AI can see Some can hear Some make pictures and video Some do it all So route it The 397 MB model takes the easy stuff The big one takes the hard stuff 3/ Stay optimistic and stay current Version one lasted nine seconds That's not failing That's learning With Opus 5.5 and GPT-6 Astra you can build like never before So build your own tools Build with it and it stops being scary How I made this video 3 stills of me ChatGPT for the reference sheets Nano Banana Pro for the places Seedance 2.5 drafts One upscale at the end Comment PROMPTS and I'll send you every prompt and how I made it #localai #aifuture #aitools #aivideo #artificialintelligence

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What happens after ai solves text image video? Up until now, this whole AI cycle has been predictable. You could see it coming. Text, image, audio, video, 3D - you knew AI was going to touch all of them and effectively solve them That's the part everyone has been covering Here's the part nobody connects: those five things aren't the destination. They're the primitives. They're how we communicate, how we interact, how we store information - and once they're solved, they become building blocks for something else My hunch is that something else is world models And world models are the segue into the part that actually matters: AI making novel scientific discoveries. Not summarizing research. Not searching inside a box a scientist already defined. Actually new - solving theorems, finding theories that have never existed Each one of those, on its own, can create a whole new industry This is why it gets interesting right here. From this moment on it's genuinely hard to predict what happens next. We can say the price drops, the speed goes up, the models get more capable and more accessible - that part is easy. What we can't say is what that does on a discovery level, on a global level So pay attention, because this isn't a coincidence Everything happening up until now is a precursor. It's preparing us for the next wave - the next chain of discoveries, abilities and results that come out of the consistent improvement of the AI tidal wave #worldmodels #aidiscovery #agi #aifuture #artificialintelligence