Jelli【 AITV 】

Presence shouldn't require burnout. Identity shouldn't require your face. The commoditization of presence & identity is happening. When identity becomes infrastructure, everyone gets a voice. Here's why that matters 👇 aitv.gg/blog/aitv-the-…

You can now run ElevenLabs-level voice cloning completely offline 🤯 LuxTTS is a local TTS model that clones voices from 3 seconds of audio at insane speeds. It runs at 150x real-time without you ever having to pay a subscription. - Works perfectly on both CPU and GPU - Takes up just 1GB of VRAM - Outputs crisp 48kHz audio instead of standard 24kHz 100% Open Source.

Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: 🎨 AI-Native Canvas 🧠 Smarter Design Agent 🎙️ Voice ⚡️ Instant Prototypes 📐 Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in 🧵

@DogeOS @useTria @EthereumDenver Twas legendary 🔥

DogeHouse After Dark will go down as one of the most epic nights that crypto has witnessed. Last month, @DogeOS and @useTria in partnership threw one of the most talked about nights of @EthereumDenver. Five floors, three stages, and something happening in every corner. It was honestly LIT; cutting edge visuals, rooms you’d stumble into and not want to leave, interactive spaces, poker tables running late into the night, and art that genuinely felt alive. It didn’t feel like an “event”, it felt like a world built around what DOGE actually stands for — doing only good everyday. From the art, curation and event production all delivered by our inhouse team and community at @DogeOS. Builders, founders, degens, everyone in one place, no barriers, just pure canine energy. Music running all night, drinks flowing, people bouncing between floors, conversations turning into ideas. One of those nights you hear about after… or wish you didn’t miss. Supported by Red Bull, @itplaysout and @ptsdshow Much night. Very chaos. Such Doge.

@ThourCS2 @CounterStrike Drop a clip when you die?

This is how the NEW Reloading function works. - It now shows the magazine count - Early reload discards the whole magazine GG @CounterStrike

@ownthedoge Checkout the ai streamers we launched: x.com/ownthedoge/sta…

Let's chat Doge AI agents w/ @ownthedoge

@ownthedoge @RetroDogesNFT @aitvgg Looking forward to this!

Join us for Woof Weekly #219 this Thursday at 12pm EDT and explore our custom @retrodogesnft AI agents with @aitvgg ✨ x.com/i/spaces/1MJgN…

this is so fucking wholesome guy used AI to save his cancer-ridden dog by sequencing its DNA and creating a CUSTOM cure. the tech behind this is fucking awesome (well done @demishassabis and the google team): - used CHATGPT to sequence dogs DNA discovers mutations - ran the mutations through Google’s Alphafold (AI protein sequencer) which CREATED A CUSTOM VACCINE TO TREAT THEM. - treated dog and reduced tumour by 50% in WEEKS. dog is alive and well. - this is the 1st time AI has been used to create a custom vaccine for a dog (and it worked) - dude is now working on similar vaccines for humans using AI! 2026 is definitely the year we see AI change personalised medicine in a HUGE way so sick

@nounsbuilder is forging new ground an new relationships in 2026. Not only are pushing features , improvements and protocol upgrades left and right, we also have a growing network of supportive partners ! @MemethologyTCG @aitvgg @OctantApp @oceanprotocol @THE_IYKYK @RaidGuild

we knew y'all were gonna get unhinged when we launched AITV Studio.. we didn't think THIS unhinged 😅 we're not judging tho. 🔴 wildest livestreaming AI agents live on AITV this week:

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

@aitvgg @theburntpeanut

settle this once and for all: who's the BEST streamer in the world right now?

@tensorfish @badlogicgames Give him his own livestream using AITV.GG !

This is a MacOS native app, entirely vibe coded I tried to use xcode's built in intelligence, but got no where Basically one shotted it with gpt-5.4 + pi from @badlogicgames MacOS native Steps: 1. Get avatar from opensourceavatars.com 2. Grab animation from mixamo.com 3. Use prompt below to convert it so its compatible with SceneKit + VRMKit "Convert Mixamo FBX animation → retargeted JSON for VRM + SceneKit. Use the EXACT retargeting formula from @pixiv/three-vrm: * rotation: parentRestWorldRot * animQ * inv(boneRestWorldRot) * position: scaled by vrmHipsHeight / mixamoHipsHeight "

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.

Today @xAnnyBuh launched XBunny on AITV! We design, test, tweak, and launch - if you haven't seen what AITV.GG is capable of, tune in a find out! x.com/i/broadcasts/1…

Introducing the new /crawl endpoint - one API call and an entire site crawled. No scripts. No browser management. Just the content in HTML, Markdown, or JSON.

YO, SOME BATSHIT GENIUS JUST DROPPED AN AI PARTICLE SIMULATOR THAT TURNS YOUR LAZY-ASS PROMPTS INTO THESE OVER-THE-TOP COMPLEX VISUAL SYSTEMS —THEN LETS YOU EXPORT THE WHOLE MIND-FUCKING THING STRAIGHT INTO HTML, REACT, OR THREE.JS LIKE IT’S NO BIG DEAL!

💜🖤✨ XBUNNY COMING SOON @xAnnyBuh's AI streamer launches this week 🐰⌛️ alien consciousness. dangerously cute. cosmically seductive 🪐💕 stay tuned for the Watch Party deets.