JkHoya

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JkHoya

JkHoya

@jkhoya

Full Stack Developer || Crypto Native || Co-Founder Astro Bot Corporation

Boston, MA Katılım Aralık 2009
1.8K Takip Edilen1.3K Takipçiler
JkHoya
JkHoya@jkhoya·
A wallet I have not used in over a year just got drained..... It was one of my NFT holders sadly, but at least I didnt have a ton in it? solscan.io/account/E37nyZ… Looks like this same wallet hit ALOT of other wallets in the same couple days. Found from #cointracker alert
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JkHoya
JkHoya@jkhoya·
@louisvarge Wait till they start sending each other Gifs
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Louis Arge
Louis Arge@louisvarge·
i made a thing where now any Claude Code can send messages to any other Claude Code on my machine they can ask clarifying questions about work, or become friends
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JkHoya
JkHoya@jkhoya·
@RobHeinze @Tech_girlll pick a project you want to clone or an app you want to build. To "vibe code" it. Start asking about set up. Hey "ai" If I want to build something like "X program" what is a good MVP that I could build quickly. Can you help plan this out so I can use "ai tool" to code it.
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Rob Heinze
Rob Heinze@RobHeinze·
@Tech_girlll I am a hobby coder only. I can’t seem to think of how to even write a prompt to ask AI to write code. Can anyone give an example prompt?
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Mari
Mari@Tech_girlll·
Exactly one year ago, Anthropic CEO Dario Amodei predicted AI would write 90% of the code within 3-6 months. 12 months later and we haven’t gotten there yet.
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JkHoya
JkHoya@jkhoya·
@abhihere098 @sherifgjini This is the big takeaway. There are still plenty of companies who pay others to build and run a website for them.
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abhi
abhi@abhihere098·
@sherifgjini yes everyone can build anything. but most businesses dont have enough time to build their everything tools, they would think of outsourcing . clients are still paying for highly crafted websites or entire MVPs
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Gini
Gini@sherifgjini·
How long did the indie hacker era last? If everyone can build anything and no longer needs an app, why bother shipping? Is this really over
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JkHoya
JkHoya@jkhoya·
@null_founder @sherifgjini Claude = CTO. GPT = QA. Gemini = the intern who occasionally surprises you. Grok - the social media intern HR nightmare who is drunk by noon
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Yuma@axis.
Yuma@axis.@null_founder·
@sherifgjini Picking one is like picking your favorite employee. You don't. You assign roles. Claude = CTO. GPT = QA. Gemini = the intern who occasionally surprises you.
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Gini
Gini@sherifgjini·
Which AI do you use for everyday? - Codex - Gemini - Claude - XAI I switched to Gemini, couldn’t be happier
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Tyler
Tyler@rezoundous·
Claude writes better code than me and I'm not even mad, just wondering what I'm bringing to the relationship at this point
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JkHoya
JkHoya@jkhoya·
@RG_Leachman Meanwhile: "ChatGPT whats a fun game to play with my kids?"
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Ryan Leachman
Ryan Leachman@RG_Leachman·
“Kids I have good news. Daddy is out of Claude tokens until 3PM. He has time to play with you now.”
Ryan Leachman tweet media
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JkHoya
JkHoya@jkhoya·
@justbyte_ Im old enough that I remember teachers dismissing coding as "a good hobby that would not lead to much of a career."
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Aryan
Aryan@justbyte_·
How did people learn coding back then when there were no docs or YouTube tutorials?
Aryan tweet media
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Priyanka Lakhara
Priyanka Lakhara@codewithpri·
One tech skill that paid off the most?
Priyanka Lakhara tweet media
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AD
AD@AdCodes_·
If you have $20, which one do you choose??
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Devin
Devin@Devinbuild·
Who is winning the AI race? - Anthropic - OpenAI - Gemini
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JkHoya
JkHoya@jkhoya·
@soy_muse I like that it is super easy to build out custom GPTs which can help me do some specific tasks...... But yeah, so many times it is weirdly 'too nice' OpenAI its ok to say, "Hey thats actually a pretty dumb idea."
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MUSE
MUSE@soy_muse·
Am I the only one who thinks that ChatGPT is becoming more and more outdated, imprecise, and unoriginal? It just tells you what you want to hear
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JkHoya
JkHoya@jkhoya·
@AlexFinn ANd to harness you ADD instead of letting it jump from one damn shiny thing to the next.
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Alex Finn
Alex Finn@AlexFinn·
All you need to get rich in 2026 is 10,000 followers on X and OpenClaw
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Jaylene🐰
Jaylene🐰@playmatejaylene·
leaving the party because no one wants to talk about crypto, making money, life hacks, government corruption or conspiracies 👋✌️
Jaylene🐰 tweet media
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JkHoya
JkHoya@jkhoya·
@xoaanya Are you coding? Or just general purpose or a little of everything? I also find Claude a little better at many things, but it caps out a decent amount. I dont think Codex has ever paused me.
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Aanya
Aanya@xoaanya·
If you had $20 to invest, which would you choose? – Codex – Claude Code Heard Claude hits limits fast… what would you pick?
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NOBI⟐
NOBI⟐@nobinft_s·
@AlexFinn What sector videos do you do?
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Alex Finn
Alex Finn@AlexFinn·
"OpenClaw is nothing special. ChatGPT can do all of this" OK, if you can show me how ChatGPT does the following use cases I've accomplished, I'll write you a check for a million dollars: • Identifying gaps and challenges people are having then building apps proactively to solve them • Fine tuned it's own model so it can write scripts in my voice • Self improves itself by building new memory systems. Now remembers every detail of every conversation (again, without me asking) • Texts me proactively when a competitor posts content that performs better than their average • Continuously analyzing my own X posts, letting me know daily what hooks, wording, structures, and topics perform well • Download and test new local models when they launch without me asking, then give me the benchmarks based on its tests If you can show me how to do any of these use cases with ChatGPT without any additional tooling, the million dollars is yours. P.S. youtube ad revenue from a video it wrote:
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JkHoya
JkHoya@jkhoya·
@kloss_xyz Here is your DAILY BRIEF: Watch some Youtube Debug Shitpost on X Debug ReplyGUY on X Debug Pay API Bills Debug Follow this easy set you and you are printing $10k a month* easy!! *Printing == paying for your tokens
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klöss
klöss@kloss_xyz·
me: buys a mac mini and installs openclaw to improve quality of life also me: debugging every day, running on 4 hours of sleep for months, $1000/mo in API bills, and 69 productivity apps with $0 in revenue
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Aanya
Aanya@xoaanya·
If Al tools disappeared tomorrow, which programming languages would you still be confident coding in??
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James C.
James C.@JCLoreian·
@AlexFinn @TinaMBean Interesting. What narrow range of tasks is worth building up own model? I'm assuming researchers will be all over it. What about for normies?
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Alex Finn
Alex Finn@AlexFinn·
Do you realize what this means? Karpathy just released the great equalizer Now ANYONE can become their own AI lab If all you own is one GPU, you can automate it so it builds its own model and continuously improves it You become a 1 man OpenAI Just bought a 2nd DGX Spark so I can run double the experiments at once For those unaware of how this works: With Karpathy’s autoresearch project your GPU stays up all night running experiments on itself Playing around with an open weights model Implements experiments that improves the model Throws away experiments that hurt the model Continuously self improving AI. In your home. On your desk. Maybe the biggest release in the last several years It is so painfully obvious where this world is going Those with their own hardware will have all the power. Self improving super intelligence Those with no hardware will rent whatever the corporate labs decide to lease to them at the moment Own. Your. Intelligence.
Andrej Karpathy@karpathy

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)

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