Hector B

@JuanuMusic Sisis, tengo los mismos por eso te preguntaba. Hasta me compré el appliance con aumento para ver si mejoraba. El killer case para mí es para el gaming

@hectorest06 Los bordes no me afectaron. Solo el inferior minimamente y lo ajuste cambiándole los cositos de la nariz para que bajen un poquito más. La resolución para mi es OPTIMA. Yo comore los XR PRO, aunque se que tienen modelos inferiores. Te compraste los XR Pro?

🧠 En mi afán de emprender y conocer nuevas tecnologías, investigué el mercado actual de anteojos “smart”. Probé dos modelos muy distintos pero útiles: 🕶️ VITURE XR PRO 🕶️ EDEN G1 Acá va mi review de cada uno 👇

@JuanuMusic te sirvieron los viture como monitor? me los compre el año pasado exactamente para usarlo de esa manera y entre la resolucion y que en los bordes tiende a borronearse se me complicaba mucho trabajar.

📌 En resumen: 📽️ VITURE XR PRO: monitor personal para cualquier dispositivo. 🧠 EVEN G1: HUD liviano para estar al tanto sin distracciones. Dos enfoques distintos, ambos muy interesantes para el futuro wearable.

@blockya_ Buena reflexión Lore. En mí caso a mí nadie me enseño ni motivo a usar redes sociales o distintas apps. Simplemente le vi el valor y el mismo network effect me fue llevando. La usabilidad y el beneficio hablan por si solos y eso para mí es lo que llevaría a la adopción masiva.

Soy yo la única que piensa que tenemos que dar una vuelta de tuerca en el discurso cripto? 🤔 Nos llenamos la boca diciendo que queremos que tenga adopción masiva pero escribimos y hacemos eventos para nos pocos entendidos. Dejemos de lado los purismos. Debemos aprovechar este momento para generar adopción y olvidarnos de explicar cada detalle. Eso tiene que quedar para los técnicos o interesados. Usemos la tecnología por lo que es, una herramienta. Y no todos tienen que conocerla para usarla. Cuando nos demos cuenta de eso vamos a dar un gran paso.

float j,i,e,v,u,S;vec3 w,p,q;for(q.yz+=.6;p=q+=(FC.rgb/r.y-.5)*e,e=v=3.,p.xz*=rotate2D(t),w=p/e,i++<1e2;e=min(e,(w.x+w.z)/S),o+=.01/exp(e*S))for(j=S=.7;j++<9.;e=min(e,max(length(p.xz=abs(p.xz)-.4),p.y=2.-p.y)/v))w.y-=2.5,S/=u=min(dot(w,w),.5)+.02,w=abs(w)/u-.4,v/=u=dot(p,p),p/=u;

@JohnGalt_is_www Nunca hablé de guita, dije "más con menos". Abrazo

@hectorest06 no pasa por la guita

Admiro a mi yo de 20/30 años que laburaba 100hs por semana y estaba a mil de manija con sus proyectos La paso muy bien no me puedo quejar, pero cada año post 40 q paso me cuesta mas y mas agarrar la pala en serio ¿tiene solucion esto?

@polkadothub @Polkadot @TechForumAR @NovasamaTech Vamooo ese team!

Esto es @Polkadot en @TechForumAR con activación de Telenova de @NovasamaTech

@Joseptec These guys knows what they are doing

🚀 Get ready for a sneak peek at the SCALE editor that the PAPI team is cooking! We're bringing the most powerful dev tools the Polkadot ecosystem has ever seen. Stay tuned for what's coming next! 😎

@Bountyenespanol @Polkadot Muchas gracias por compartir el contenido y a todo el equipo del @Bountyenespanol! Espero que les sea útil a toda la comunidad de habla hispana. Hago extensivo el agradecimiento a @polkadothub y @nachitoeth por el constante apoyo 🙏🏻

🤨Muchas veces utilizamos la palabra "runtime"🏃‍♂️ en nuestro día a día, pero, ¿realmente sabes qué es el runtime?🧐 En este video 3 de 5 de "Construyendo en @Polkadot"la serie para desarrolladores, @hectorest06 nos lo explica a detalle. 🔗al video: youtu.be/NtAQu_ytI3k?si…

@ClaraVanStaden It was all your merit ! We are much closer ! 🙏🏻

Still not back to normal. 🔴 But the good news is Ethereum -> Paseo AH transfer works. Once gas price is down I can test the other direction. Gonna deploy the UI today too Thanks for all the assistance @hectorest06 ☺️

@hummusonrails That is exactly what it came to my mind as soon as I watched the video lol

The irony of arguably one of the world’s most well known and brutally honest product reviewers releasing a… A wildly overpriced wallpaper app. 🤦‍♂️🤦‍♂️🤦‍♂️ Who’s going to do the review of this one?

@0xPrismatic I cannot agree more with all these insights. Specially on inference vs training markets and private data.

Penning down my quick takeaways from Token 2049 this year (focusing on Crypto AI): ➡️ Crypto AI Funding + Many VCs remain wary of funding Crypto AI startups. Common VC tropes: - Valuations are still generally high - Hard to pinpoint precisely where crypto adds direct value to AI or why blockchain needs to be part of the product. AI is capital-intensive, and decentralization tends to drive up costs. - To deploy capital, there needs to be a real conviction that the market opportunity is big enough—more crucial than the valuation itself. + Liquid funds: This is not specific to AI, but the fund managers I spoke to are optimistic and patient, waiting on the November elections and future rate cuts before deploying more capital. This means a lot of money is sitting on the sidelines. If you believe we’ve hit an inflection point with the 50bps Fed rate cuts, we could see more capital flow into risk assets like crypto over the next 6 months. ➡️ Crypto AI Startups + Compute is king: It’s clear to me that every Crypto AI startup needs access to compute, whether by building their own decentralized networks/marketplace, or by leveraging existing ones. This raises the question—will we see one player aggregate all the compute supply, or will it stay fragmented? Decentralized AI relies on compute being accessed permissionlessly. + Decentralized training: A lot of the foundational research on distributed training has been done in the academic space, but now it’s about testing it in production and seeing how far we can push the boundaries. @PrimeIntellect and @gensynai are ones to watch here. Network latency remains an issue (slow + expensive), but a distributed setup could make certain parts of training costs cheaper. Edge devices like mobile phones aren’t yet capable of training AI at scale. + There’s a growing agreement that Inference and computing power could shift towards decentralized networks, especially in latency-tolerant applications. OpenAI’s o1/strawberry model is a sign of this (slower but better outputs) + Verifiable inference: The market for verifiable inference (zkMP, opML, etc.) is still uncertain, with few convincing use cases beyond the moral need for trustless verification. That said, privacy is crucial, and its role in AI is becoming more important. + Private data = better models: Private data, such as in healthcare, can lead to more valuable AI models. Personalization is key to the next AI unlock; stripping out personally identifiable information diminishes the data’s utility. + Fully Homomorphic Encryption (FHE) allows AI models to train on personal data while keeping it private, but the computation cost is very steep. FHE is still in the research phase, probably 3-5 years away from production-ready applications. + AI Agents are a very hot topic. Some interesting perspectives floating around: - Could prediction markets help AI agents make better decisions? (@autonolas) - Are we over-anthropomorphizing AI agents? Maybe we shouldn’t view them as doing “human” work. - On-chain data is a major PITA (pain in the ass) to work with (@PondGNN) - Use cases for on-chain agents are still up for debate. No one’s quite sure yet. Ideas like intent-based MEV and Uniswap hooks are being tossed around, but nothing’s concrete. + Several Crypto AI founders I spoke with are seriously considering relocating to San Francisco/Bay Area. There’s real alpha in being on the ground in SF—you get wind of the latest AI developments weeks ahead of the rest of the world. ➡️ Bittensor + Opinions are sharply divided about the most intriguing Crypto AI protocol. Everyone I spoke to had something to say. Here are some concerns that came up in my conversations: - With a $10B fully diluted valuation, how much upside is left realistically? Getting to a 5x will be a tough climb outside of market mania. - dTAO is a significant upgrade with major implications for incentive allocation and user experience. It could lead to unintended consequences if not rolled out carefully (slowly and iteratively). - Concerns about the OpenTensor Foundation (OTF). @opentensor still holds centralized power, and there’s been tension between subnets and OTF over reward distributions. Some worry that OTF might have checked out. On the flip side, there’s plenty to be excited about. @xponentcrisis did an excellent recap of the Bittensor event this week. It’s obvious to me that Bittensor is the Schelling point for Crypto AI, at least today. Everyone in the space—builders, investors, researchers—is paying close attention. Funds are indexing on TAO as their bet on Crypto AI. New AI projects are seriously considering launching as subnets, where they can instantly gain access to rewards and users. The community is full of smart, passionate individuals—groups like this are hard to fade. ➡️ General Conference Views + Crypto AI was a hot topic. Every day, there was an “AI summit” somewhere, but with many repetitions—decentralized AI, training, and VC investing were common themes. Often, the same speakers rotated across multiple panels throughout the day, making it feel a bit redundant. + SG is buzzing. This year's scale is massive. Last year, it was primarily people from Asia (10K+); this year, it feels like everyone flew in—20-hour flights included (20K+). I recognised crypto folks everywhere, not just around Marina Bay Sands but all over the city—Bugis, Raffles Place etc. + Cautious optimism: The 2021 insane bullish vibes aren’t quite back, but there’s a steady, cautiously optimistic feel. There’s still some excess (note to self: maybe short anyone spending millions of investor money to book out a club for a few nights) Overall, I was apprehensive going into the conference week (not much of a party person), but it ended up exceeding my expectations. I’m also leaving feeling extremely bullish on the future of Crypto AI. Now that's over, back to the grind. Have so many cool things on my list to look at and lots of Crypto AI research pieces in the pipeline - expect much more to drop soon at @cot_research

@NachitoEth @Rocosape @_snowbridge @PolkadotMexico_ THE legend

La leyenda… Hablando y explicando sobre la gran solución del ecosistema de Polkadot. Snowbridge en el evento de Polkadot en México. Congrats @Rocosape @_snowbridge @PolkadotMexico_

@nicolares28 Equipazo

As a first-time founder, I underestimated the effort and importance of building a top-tier team—a team where the whole is greater than the sum of its parts. It took longer than expected, but I’m now very confident in Velocity’s current position and future direction. 🚀

THIS

Una nación sostenida emocionalmente por un sujeto que baila luego de atajar penales

@onpopio Appreciated and respected people in the ecosystem, if there are any. I will always want Ale on my team

🌟 Meet Alejandro 🌟 One of the founders and main developers at R0GUE. He was one of the core maintainers of Rococo, and now is one of the main contributors to Paseo — in addition to writing some awesome code for Pop. 👇 Here's what Alejandro is most excited about for Pop

@mbeaudroit no puede hablar por el pasado, pero puede venir por el lado de tener que lidiar con MiCAR a partir del año que viene con todo el overhead que eso implica.

WOW. Bitstamp fue para los que empezamos temprano en bitcoin el "primer" exchange de punta en blanco del ecosistema, luego de los turbios de MTGOX y BTC-E. Sería interesante entender que fue lo que hizo que no haya podido crecer a los niveles de Coinbase o Kraken. Estar en EU?

@fedex6 @fernandezpablo @seppo0011 Yo pasé de iOS a Samsung y me migró absolutamente todo. Hasta el fondo de pantalla. Me sorprendió

@fernandezpablo @seppo0011 Cuñado quiso hacer eso… usando google drive como intermediario… Imposible, horas “cargando” el backup en el android… Termino desistiendo y lo que recupero recupero, lo que no se perdio para siempre.