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@randorypto

Katılım Şubat 2023
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rando
rando@randorypto·
Bitcoin is king.
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Ole Lehmann
Ole Lehmann@itsolelehmann·
if you want to make money fast right now: - take $500 to buy AI credits (borrow if needed) - become insanely good at all ai video tools (zora 2, veo3, klingt, runway ml, midjourney etc) - study legendary video ads/launch videos - specialize in creating ai launch videos for startups with vc funding - study people like @PJaccetturo (get on his NL!!) - to get your first clients, create videos on X for these companies and tag them (the more unconventional the better) - you can get from 0 to 10k+ month in 30-60 days imo the demand is off the charts the ai video models are getting better at an insane speed (way faster than the text generation models) generational opportunity for young people right now
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rando
rando@randorypto·
@gabriel1 How this can be funny? This is a social disaster
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gabriel
gabriel@gabriel1·
i have the most liked video on sora 2 right now, i will be enjoying this short moment while it lasts cctv footage of sam stealing gpus at target for sora inference
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rando
rando@randorypto·
@sethsetse I’ll miss the flight thanks
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seth
seth@sethsetse·
seth tweet media
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rando
rando@randorypto·
@Kalshi a bit late for such high IQ
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Kalshi
Kalshi@Kalshi·
JUST IN: World's highest IQ record holder has converted all his assets into Bitcoin
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rando
rando@randorypto·
@sama Freakin’ liar
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rando
rando@randorypto·
@emollick Sure best model eva it’s so over … boring
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Ethan Mollick
Ethan Mollick@emollick·
I had some early access to Sonnet 4.5. It is a really good model. I saw especially big jumps in doing finance and statistics, which tend to get overlooked in the focus on coding.
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GosuCoder
GosuCoder@GosuCoder·
First impression of 4.5, keep in mind this is after 3 hours of heads down coding, so still early. 1. I don’t think I can see a difference vs 4.0. In fact if you told me this was actually 4.0 I’d believe you. 3.5 and 3.7 were noticeably different. 2. Still had to go back to GPT 5 for a few things that Sonnet couldn’t figure out. 3. Running evals in the background all day today, curious how 4.5 is gonna do We have definitely hit a wall in coding progress.
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Kath Korevec
Kath Korevec@simpsoka·
Proud to work at Google Labs, where chasing the future doesn’t require leaving your integrity behind.
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rando
rando@randorypto·
@gdb I will never trust an LLM to make a purchase
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Greg Brockman
Greg Brockman@gdb·
You can now buy products directly on ChatGPT. Launched with merchants like Etsy; Shopify and more coming soon. Merchants can integrate using the Agentic Commerce Protocol, a new open standard we built with Stripe: chatgpt.com/merchants
Greg Brockman tweet media
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rando
rando@randorypto·
@gdb Utterly useless
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Claude
Claude@claudeai·
Introducing Claude Sonnet 4.5—the best coding model in the world. It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.
Claude tweet media
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Gina Acosta
Gina Acosta@ginacostag_·
BREAKING: OpenAI just released Prompt Packs for every job. 300+ ready-to-use prompts for: → IT → Sales → Product → Managers → Engineers → Marketing → Executives → Customer Success
Gina Acosta tweet media
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rando
rando@randorypto·
@AkshayNarisetti No please not another AI thingy that will disappear in the void in a month
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akshay
akshay@AkshayNarisetti·
First Look at Pocket, it’s real 💙 Pocket will be launching with a scale never imagined.
akshay tweet media
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Kyle Gawley
Kyle Gawley@kylegawley·
I quit my $200k job and now I'm running 3 SaaS products making $50/mo
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rando
rando@randorypto·
@amasad In 3 years nothing of success came out of replit bubble is popping
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KoZman
KoZman@SherifKozman·
@amasad The issue is that by time software developers became gatekeepers of the “language” which was only intended to evolve into natural language which has been forgotten by time and thus now became threatening to this gate keeping ideology.
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rando
rando@randorypto·
@miramurati Useless, billions of valuation for PDFs
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Mira Murati
Mira Murati@miramurati·
Sharing our second Connectionism research post on Modular Manifolds, a mathematical approach to refining training at each layer of the neural network
Thinking Machines@thinkymachines

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices. thinkingmachines.ai/blog/modular-m… We explore a fundamental understanding of the geometry of neural network optimization.

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Arjun Khemani
Arjun Khemani@arjunkhemani·
.@sama: If I had to pick one favorite book, I would pick The Beginning of Infinity by @DavidDeutschOxf. Even if you don’t read the whole thing, the first 40–50 pages are, I think, the most wonderfully optimistic take on why—even in a world with AI—we’re never going to run out of things to do, ways to be useful, problems to solve, and things to explore. I also think it explains, so beautifully, how we got here and why the relatively simple process we’ve followed throughout human history brought us to this incredible place.
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