John | Elite Encoder

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John | Elite Encoder

John | Elite Encoder

@EliteEncoder

Building the future of decentralized AI video at Livepeer 🏞️🚀

Columbus, Ohio Katılım Mayıs 2022
215 Takip Edilen77 Takipçiler
John | Elite Encoder retweetledi
Livepeer
Livepeer@Livepeer·
"Draw me a highly detailed Livepeer Real-Time Pipelines Star Wars-inspired space opera canteen, but instead of smugglers it’s packed with protocol engineers, orchestrators, video devs, and AI creatives all hacking on live AI video. Make sure to make it funny with in‑crowd jokes."
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Sam@Discoplomacy

“Draw me a highly detailed RuneScape Grand Exchange image, but of real contemporary Westminster people - journos/MPs/ministers/commentators and so on. Make sure to make it funny with in-crowd jokes.”

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Daydream
Daydream@DaydreamLiveAI·
Quick #Scope tip from one of our engineers: in the Workflow Builder, you can wire multiple sinks into the same pipeline and compare outputs side by side, live. Feed the source to the pipeline, split the output two ways: One branch through rife, one "raw". Take the same source and pipeline and get two easily comparable outputs. Works the same with upscalers or community-built nodes. More Scope tips incoming!
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Daydream
Daydream@DaydreamLiveAI·
Hey, new Scope 0.2.3 is out, and here's what's worth pausing on: A/V model improvements, running on the @Livepeer network, billing and credits system in place, and more...) The clip below shows LTX-2.3 generating video and audio in a single pass, staying locked end-to-end throughout the session. That wasn't a given before this release. Sharing more details in our thread 🧵
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Eric is Daydreaming
Eric is Daydreaming@ericxtang·
I vibe coded a particle canvas, and put it through @DaydreamLiveAI Scope to give it texture in real time. It's just a simple example of using AI to make realtime visuals. If you are interested, come to my talk at the Austin TD meetup tomorrow! meetup.com/austin-touchde…
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Livepeer
Livepeer@Livepeer·
Weekly reminder that the smartest people in real-time AI video are in the Watercooler. Every Monday, 3 pm ET. Tap in ↷
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Livepeer
Livepeer@Livepeer·
.@iab: 2026 is the "defining moment" for AI-powered video operating in real time. Real time is the key word here. Not batch processing or render queues. Infra optimized for sustained, low-latency video workloads wins this.
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John | Elite Encoder
John | Elite Encoder@EliteEncoder·
Soon your claude/openclaw agent can use the Livepeer network to generate images all night long if you want, and soon - be able to pay for it over bankless, trustless escrow
Mike Futia@mikefutia

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took @alexgoughcooper's brilliant framework and automated the whole thing inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)

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Mike Futia
Mike Futia@mikefutia·
Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took @alexgoughcooper's brilliant framework and automated the whole thing inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)
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John | Elite Encoder
John | Elite Encoder@EliteEncoder·
This research paper goes further on how this is the correct authentication protocol to target for enterprise customers openid.net/wp-content/upl… OAuth 2.0 is also perfect for building app marketplaces
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John | Elite Encoder
John | Elite Encoder@EliteEncoder·
OAuth 2.0 OpenID connect is the enterprise identity solution for Agentic AI. 1. Agents want to access AI tools running on Livepeer 2. Developers want to build apps that can run anywhere 3. Users need a variety of payment and billing options datatracker.ietf.org/doc/html/rfc86…
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V 🇺🇸
V 🇺🇸@Vahl9000·
@CryptoMikli So replace schools that should be geared towards critical thought with something to do it all for you? Wanna know what Armageddon looks like for someone like that:
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Mikli
Mikli@CryptoMikli·
Chris Camillo says AI is accelerating so fast that going to school might not be worth it anymore "One of my kids is 16 years old and he drives himself to school, and one day he slept in and I was so astonished. I was like, how is that even possible? If I would have done that as a kid, the thought of what my parents would have done to me" "But there was a part of me in the back of my head, does it even matter anymore? I'm looking at my kid going to school and I am like, why are you even in school? I know I can't say that to them, but does any of this really matter at all right now? The world is moving so quickly that the stuff you're learning is just too slow"
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John | Elite Encoder retweetledi
Livepeer
Livepeer@Livepeer·
You also get access to builder programs at different stages: AI Startup Program, Video Disruptor Grants, Open Network Grants, and more. Learn more about building on Livepeer: #why" target="_blank" rel="nofollow noopener">livepeer.org/dev-hub#why
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Livepeer
Livepeer@Livepeer·
Why build on Livepeer? To name a few…
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Daydream
Daydream@DaydreamLiveAI·
Builders, this one's for you 👀 Today we're going behind the scenes with our AI Video Program Cohort 2 finalists: 3 creators breaking down how they built with Scope's real-time AI video & plugin system. Live Q&A included. Come curious 👇 luma.com/woauqujp
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Jaber
Jaber@Akashi203·
We open sourced an operating system for ai agents 137k lines of rust, MIT licensed we love @openclaw and it inspired a lot of what we built. but we wanted something that works at the kernel level so we built @openfangg agents run inside WASM sandboxes the same way processes run on linux. the kernel schedules them, isolates them, meters their resources, and kills them if they go rogue. it has 16 security layers baked into the core. WASM sandboxing, merkle hash-chain audit trails, taint tracking on secrets, signed agent manifests, prompt injection detection, SSRF protection, and more. every layer works independently. giving an LLM tools with zero isolation is insane and we're not doing it. we also created something called Hands. right now every ai agent is a chatbot that waits for you to type. Hands are different. you activate one and it runs on a schedule, 24/7, no prompting needed. your Lead Hand finds and scores prospects every morning and delivers them to your telegram before you wake up. your Researcher Hand writes cited reports while you sleep. your Collector Hand monitors targets and builds knowledge graphs continuously. they work for you. you don't babysit them github.com/RightNow-AI/op…
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Guri Singh
Guri Singh@heygurisingh·
🚨BREAKING: Google just launched CodeWiki, and it might be the biggest upgrade GitHub has had in years. You paste your GitHub repo in, and it turns your entire project into an interactive guide. It also generates diagrams, explanations, walkthroughs, everything you could ever want, and even a chatbot that knows the code better than anyone else.
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Alan Daitch
Alan Daitch@AlanDaitch·
Acaban de crear el primer virus de computadora que piensa. No es código fijo que hace lo mismo en todas las máquinas. Es una IA que prueba un ataque, falla, analiza por qué falló y, acá está lo brutal, inventa estrategias nuevas. Combinaciones que ningún programador humano escribió. Caminos de ataque que nadie anticipó. En las pruebas, esta máquina encontró vulnerabilidades que los mejores hackers humanos no vieron. No porque sea un poco mejor, sino porque genera soluciones originales: no sigue un manual, crea sus propias tácticas en tiempo real. El problema técnico es que todos los antivirus del mundo funcionan igual. Tienen una biblioteca gigante de amenazas conocidas. Ven algo que coincide y lo bloquean. ¿Pero qué pasa cuando el atacante inventa métodos que nunca existieron? ¿Cuando cada ataque es una estrategia única, improvisada específicamente para el sistema que está atacando? Hoy todo está conectado a internet: hospitales, bancos, redes eléctricas, sistemas de transporte, gobiernos enteros. Son nodos en una red global que funciona 24/7. Un ataque exitoso no apagaría una computadora, sino quizás países enteros. La pregunta del millón es: ¿cómo defendés algo cuando el ataque puede inventar estrategias que nunca viste? La respuesta probablemente sea otra IA. Entramos en la primera guerra de ciberseguridad donde ningún bando es humano. Y esto recién empieza.
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Min Choi
Min Choi@minchoi·
The US government just dropped $145M to train workers in AI, semiconductors, and nuclear energy... as apprenticeships. Not college degrees. Apprenticeships. Learn while you earn. AI is officially a skilled trade now. Same category as shipbuilding and healthcare. The goal: 1 million active apprentices nationwide. Target industries: AI infrastructure, semiconductors, nuclear, defense, healthcare, IT, telecom. This is the biggest signal yet that AI jobs aren't just for Stanford grads with CS degrees. The government is building a blue-collar path into AI. The people who will deploy models, manage data centers, and run inference clusters won't all have PhDs. Some will learn on the job... funded by $145M in federal money. The AI skills gap isn't a future problem. It's a right now problem. And the government just put money behind it.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Mark Cuban on the next job wave. Customized AI integration for small to mid-sized companies. "Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them... And there are 33 mn companies in the US."
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