xirclev

definitely together, but most importantly, willing to do it alone and gladly.

@chapsmx @CepnikMaciej @TimHortonsMX @StarbucksMex when Maci figures out less traveled mexican coffee tastes better

@CepnikMaciej @TimHortonsMX @StarbucksMex 😂😂😂 worst coffee shops ever. where did you run the poll?

Yesterday, I ran the BIGGEST COFFEE MARKET RESEARCH ever in Mexico.🇲🇽☕️📅 I asked Mexicans 👉 Which coffee chain do they like the most? Here are the results after 6339 votes 👇📊 🥇 Tim Hortons 🇨🇦 (@TimHortonsMX - 41.3%) 🥈 Starbucks 🇺🇸 (@StarbucksMex - 31%) 🥉 Krispy Creme 🇺🇸 (@krispykrememx - 27.8%) Mexicans love Tim Hortons (Canada); it won by a big margin. Do you agree with these results? 🤔

Voting is the adult version of writing a letter to Santa Claus.

If you are using a domain name for personal email, a hobby, or some kind of other personal or family use, you NEED to move it out of @GoDaddy immediately:

Primero el peatón; SIEMPRE.

we discovered a great use case for bitchat at a conference: panel moderator on the cypherpunk stage used it to collect questions from the audience. it worked great. no registration, no accounts, no qr codes, just pure mesh q&a

Phil Zimmerman, inventor of PGP end-to-end email encryption, 1991. We're still fighting the exact same fight today.

antes de la pandemia ya teníamos algo en el mapa, en su forma primitiva, pero no había la motivación por "la falta de la banca tradicional" gob.mx/cms/uploads/at…

el efecto inevitable de la automatización sobre la dimensión del cubículo o cómo sobran las labores burocráticas cuando vas a migrar al UBI o todos ya firmaron, mejor evítate broncas para que te paguen antes y me llega más de bono cointelegraph.com/news/crypto-ca…

@Porkbun @coinbase @CoinbaseSupport it is on you, for raising the bar so high 🤝

If you ever want to experience the most frustrating customer service ever, have a business account with Coinbase and try to get support. It's become comical at this point 😅

@DrNickA maybe it has a lot to do with training and invaluable weights, id is many years ahead of implementation and h̶i̶g̶h̶ entropy is beaten by a couple of minutes and the coins in your pocket x.com/xirclev_/statu…

It’s an attack on global identity. A mission to monopolise identity. Very clearly. It’s what it says on the tin.

It’s called world dot org ffs. It’s like right there in front of you.

Antiflesh series Coming soon✨

dónde esta tu dios ahora?

@LuisBetx9 @kinetic4i @ 20s 👌 🪇

Gm ✨️

@isracts @abrahamrivv @bairorb @marcrypted @vicl9403 winning setup 👌

El verdadero “Building in public” es building en vía pública 😎 @abrahamrivv @bairorb @marcrypted

Tu amigo con 0.001 #BTC en su primera cita:

Today, we share the tech report for SmolVLM: Redefining small and efficient multimodal models. 🔥 Explaining how to design a tiny 256M VLM that uses less than 1GB of RAM and outperforms our 80B models from 18 months ago! Here are the coolest insights from our experiments: ✨ Longer context = Big wins: Increasing the context length from 2K to 16K gave our tiny VLMs a 60% performance boost! ✨ Smaller is smarter with SigLIP: Surprise! Smaller LLMs didn't benefit from the usual large SigLIP (400M). Instead, we use the 80M base SigLIP that performs equally well at just 20% of the original size! ✨ Pixel shuffling magic: Aggressively pixel shuffling helped our compact VLMs "see" better, achieving the same performance with sequences 16x shorter! ✨ Learned positional tokens FTW: For compact models, learned positional tokens significantly outperform raw text tokens, enhancing efficiency and accuracy. ✨ System prompts and special tokens are key: Introducing system prompts and dedicated media intro/outro tokens significantly boosted our compact VLM’s performance—especially for video tasks. ✨ Less CoT, more efficiency: Turns out, too much Chain-of-Thought (CoT) data actually hurts performance in small models. They dumb ✨ Longer videos, better results: Increasing video length during training enhanced performance on both video and image tasks. 🌟 State-of-the-Art Performance, SmolVLM comes in three powerful yet compact sizes—256M, 500M, and 2.2B parameters—each setting new SOTA benchmarks for their hardware constraints in image and video understanding. 📱 Real-world Efficiency: We've created an app using SmolVLM on an iPhone 15 and got real-time inference directly from its camera! 🌐 Browser-based Inference? Yep! We get lightning-fast inference speeds of 40-80 tokens per second directly in a web browser. No tricks, just compact, efficient models! If you’re into efficient multimodal models, you’ll love this one.

Q podría salir mal al alimentar con tu cara a la misma tecnología que facilita la creación de identidades falsas a escala industrial? Es como dejar las llaves de tu casa en la puerta con una nota que diga: "Por fa, hagan una copia". IA=1 Prioridades=0 securityexpress.info/fake-passport-…