Warren (fan) retweeted
⚠️ Top Footballers with the Weakest Skills 🚨
10. Nicolás Jackson 🇸🇳 – Bayern
9. Ronald Araújo 🇺🇾 – Barcelona
8. Robert Sánchez 🇪🇸 – Chelsea
7. Darwin Núñez 🇺🇾 – Al-Hilal
6. Mario Balotelli 🇮🇹 – Al-Ittifaq
5. Álvaro Morata 🇪🇸 – Atlético Madrid
4. Mesut Özil 🇩🇪 – Retired….show more
Warren (fan) retweeted
The first time my dad babysat us… it did not go well
this happened when I was really young, but it’s one of those stories that never left our family.
my mom had to travel for a couple of days, and it was the first time my dad was left in charge of the house and all of us. he was confident about it too—kept saying “how hard can it be?”
first day was fine. we ate junk food, watched TV, and everything felt like a mini holiday.
the problem started on day two.
my dad decided he was going to cook something “proper” instead of ordering food again. I remember him being in the kitchen for a while, and then suddenly there was this weird smell.
not food. something sharper.
then a little bit of smoke.
Warren (fan) retweeted
A must watch ⭐️
🎥 Tom Cruise finds out how difficult it is to change tomorrow 🔥
Rotten tomatoes rating 9/10⭐️
Warren (fan) retweeted
How often do you take good care of your Toe Nails
Take your pedicure seriously Guys
Warren (fan) retweeted
Building with Dgrid-ai and Permacastapp
@dgrid_ai
DGrid reduces intervention in AI workflows by automating quality control. Instead of developers manually validating outputs or tuning models continuously, the network enforces quality through its incentive structure. This creates a self-regulating system where performance is maintained automatically. Developers can integrate AI into applications without dedicating significant resources to monitoring and validation, making decentralized AI more accessible and scalable.
@permacastapp
Permacast eliminates intervention in storage management by removing the need for ongoing maintenance. Once data is stored, it does not require renewal, migration, or backup. This allows developers to treat storage as a completed task rather than an ongoing responsibility. Systems built on Permaweb_DAO can operate with fewer moving parts, reducing complexity and increasing reliability.
Evening CT
@permacastapp & Permaweb_DAO establishing specific metadata schemas and content addressing formats for permanent storage creates precedents that decentralized storage standards groups formalize into required specifications, effectively making Permacast's implementation choices mandatory for anyone claiming standards-compliant permanence. When permanence protocols form interoperability working groups to define cross-platform content addressing, they adopt Permacast's existing schemas as baseline because those represent only battle-tested production format, converting Permacast's pragmatic choices into standardized requirements that competing platforms must implement. The format decisions made for Permacast's specific needs become format requirements for the entire category through standardization processes that favor proven implementations over theoretical improvements. Operational pragmatism becomes architectural mandate when standards committees prioritize compatibility with existing systems over optimality for future systems.
@dgrid_ai establishing verification protocols and proof formats for distributed inference creates templates that AI infrastructure standards organizations adopt as canonical implementations, effectively requiring competing networks to use DGrid's cryptographic approaches or face ecosystem incompatibility. When decentralized AI consortiums convene to standardize inference verification interfaces, they naturally reference DGrid's production protocols as the working example, converting DGrid's specific security tradeoffs into industry standard that alternative verification approaches must match for tooling compatibility. The security architecture that solved DGrid's specific threat model becomes security architecture that all distributed inference must implement through standards body adoption of reference implementations. Context-specific solutions become context-agnostic requirements when standardization processes mistake the implementation they understand for the only valid implementation.



































