Drinho 🇪🇸

@ashen_one It’s even harder, they have to use it everyday for the period (or very often, not just once) I hired someone on Fiverr for like 14$ to do that and my app was finally approved in Android. I recommend that.

damn nvm android app is gonna take forever even if youve already converted it i 10000% do NOT have 12 friends with androids lmfaoo

@yashhq_22 Gpt 5.5 🐐

Solo founders, which model are you using for vibe coding? - gpt 5.5 - opus 4.7 - gemini 3.1

@Kappaemme1926 That $1M would be $8.1M (says ChatGPT). So I am taking de $1M

Vibe coders, would you take 1. Claude Max in 2010 OR 2. $1,000,000

@thsottiaux @gao_zibo Don’t forget Windows users

@gao_zibo All of this and more is coming

codex mac app is winning SO HARD. just need: - native editor - iOS app - full browser - openclaw then it might be the home default app

@emanueledpt @sama Is it able to connect to Codex in Windows too or only for Mac users?

@drinhotech @sama great!

.@sama I saw you're active lately I made Codex remote control for iOS with the Codex App-Server I won 6 months of Pro with this and I've been loving using Codex every day Would love a feedback (and a follow back if you want to 🙏)

The case in one frame: ✅ Proven flywheel in ignored markets ✅ Positive operating cash flow ✅ Real AV optionality ⚠️ Accounting losses ⚠️ Regulatory risk everywhere ⚠️ Uber never sleeps Built from €5k and capital discipline. That’s the Bolt story.

The IPO is coming. CEO said the €220M credit facility was to “work towards IPO-ready.” Senior hires happening. Balance sheet being cleaned up. If they go public before Uber consolidates Eastern Europe, the story they tell investors is very different.

A 19-year-old borrowed €5k from his family, built an app in his bedroom, and recruited taxi drivers on the streets of Tallinn. That company now does nearly €2B in revenue and is heading toward an IPO. Bolt is the most underrated business case in European tech 🧵

Has anyone tried using OpenClaw to manage social media?? How did it work out? 🦞 #openclaw

@emollick That’s crazy

(Sorry, after seeing so many of these, could not resist): 🚨 BREAKING: Google just dropped a NEW paper that completely deletes RNNs from existence. No recurrence. No convolutions. Nothing. Just one mechanism. And it’s destroying every translation benchmark on the planet. The title alone is a flex: “Attention Is All You Need” Vaswani. Shazeer. Parmar. Uszkoreit. Jones. Gomez. Kaiser. Polosukhin. 8 researchers. 1 architecture. The entire field of NLP will never be the same. Here’s why this is INSANE → LSTMs took DAYS to train. This thing trains in 12 hours on 8 GPUs. 🤯 → 28.4 BLEU on English-to-German. That’s not an improvement. That’s a MASSACRE. They beat the previous SOTA by over 2 points. → English-to-French? 41.8 BLEU. At a FRACTION of the training cost of every model that came before it. → They called it the “Transformer.” The name alone tells you they knew. But here’s the part nobody is talking about 👇 They threw out sequential processing ENTIRELY. Every other model on Earth processes words one at a time. This thing looks at the ENTIRE sentence simultaneously and figures out what matters. It’s called “self-attention” and it’s basically the model asking itself: “which words should I care about right now?” Every. Single. Token. In parallel. Do you understand what this means? Training that used to take WEEKS now takes HOURS. Models that couldn’t scale past a few layers? This thing stacks 6 encoders and 6 decoders like it’s nothing. And the multi-head attention? 8 attention heads running at once, each learning DIFFERENT relationships in the data. I’m not being dramatic when I say this paper just rewrote the rulebook. RNNs are cooked. 💀 LSTMs are cooked. 💀 The future is attention. And attention is ALL you need. Follow for more 🔔

@BacLeodiv Congrats!!!

HOLY FUCKING SHIT!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! IT HAPPENED!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! FIRST INTERNET MONEY!!!!!!!!!!!!!!!!!!!!!!!! BETTER THAN AN ORGASM

@khushiirl DeepSeek v4, I am going to start using OpenClaw soon and it will be the API I use 100%

be honest, which is the best open source AI model? 1. DeepSeek v4 2. Kimi K2.6 3. GLM-5 4. Qwen 3.5