Thibault | T-Bot

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Thibault | T-Bot

Thibault | T-Bot

@thetoolists

Voice AI Space Explorer

Space 가입일 Temmuz 2022
2.1K 팔로잉410 팔로워
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Aiden Bai
Aiden Bai@aidenybai·
Introducing Expect Let agents test your code in a real browser 1. Run Claude Code / Codex to QA your app 2. Watch a video of every bug found 3. Fix and repeat until passing Run as a CLI or agent skill. Fully open source
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Audrey
Audrey@audrlo·
meet sam. the first robot that keeps seniors safe. pre-order now at samtherobot. com
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Thibault | T-Bot@thetoolists·
yeah commenting my own post I dont care no one read them anyway
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Thibault | T-Bot@thetoolists·
fuck that shAIt (but stiiiiiiil love it)
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Chris Tate
Chris Tate@ctatedev·
Introducing @𝚓𝚜𝚘𝚗-𝚛𝚎𝚗𝚍𝚎𝚛/𝚛𝚎𝚊𝚌𝚝-𝚝𝚑𝚛𝚎𝚎-𝚏𝚒𝚋𝚎𝚛 A new renderer that turns JSON specs into interactive R3F scenes Same catalog-driven approach, now for meshes, lights, models, environments, cameras, controls 19 built-in components and 12 demo scenes
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Thibault | T-Bot@thetoolists·
@hasantoxr No one has been killed ... People have their habits ... Saying this is pure bullshit / clickbait ... Let me guess you said the same about excel two weeks ago ... And still have excel on your laptop
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Hasan Toor
Hasan Toor@hasantoxr·
You can now clone any voice on a 4GB GPU. LuxTTS just killed the "you need ElevenLabs" excuse. It clones voices from 3 seconds of audio at 150x realtime speed. Fits in 1GB VRAM. Faster than realtime even on CPU. → 48khz output vs industry standard 24khz → Clone any voice locally with no subscription → Works on GPU and CPU 100% Opensource.
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Nishkarsh
Nishkarsh@contextkingceo·
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️
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Thibault | T-Bot@thetoolists·
Bespoken just set the bar. 🙌 First supporter of Voice AI Space NYC and honestly? We couldn't have picked a better one. Big love, big moves. Welcome to the family. Let's build something special. 🗽 #VoiceAI #VoiceAISpace #NYC
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Xenova
Xenova@xenovacom·
NEW: Perplexity just released pplx-embed, a series of powerful embedding models. Inspired by their logo, I built a small semantic search demo: enter a query and the model retrieves the most relevant page. Everything runs locally in your browser with Transformers.js and Three.js
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AA
AA@measure_plan·
i made Dumb Drum Revolution. smack everyday objects to create "music" built with: - roboflow RF-DETR for object detection - mediapipe hand tracking - web audio API and some drum samples runs in realtime in the browser for all your drumming needs
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Xenova
Xenova@xenovacom·
Introducing Voxtral WebGPU: Real-time speech transcription entirely in your browser. This demo runs Voxtral-Mini-4B, a powerful streaming ASR model from @MistralAI, locally on WebGPU. The model supports 13 languages and is capable of <500 ms latency. Fully private. Zero cost.
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Dave Blumenfeld
Dave Blumenfeld@dblumenfeld·
Claude Code executes my code all day but it can’t see my secrets. They’re encrypted in my Mac’s Secure Enclave. Not in the cloud or in a .env file. Introducing keypo vault. Your Mac as a programmable password manager for your agents. Open source. github.com/keypo-us/keypo…
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kwindla
kwindla@kwindla·
NVIDIA Nemotron 3 Super launches today! We've been building voice agents with Super's pre-release checkpoints and running all our various tests and benchmarks. Nemotron 3 Super matches both GPT-5.4 and GPT-4.1 in tool calling and instruction following performance on our realtime conversation, long context, real-world benchmarks. GPT-4.1 is the most widely used LLM today for production voice agents. So an open model that performs as well as GPT-4.1 on hard, voice-specific benchmarks is a big deal. (Side note: we don't think a benchmark "tells the story" about a model's voice agent performance unless it tests model correctness across at least 20 human/agent conversation turns.) The Nemotron models are *fully* open: weights, data sets, training code, inference code. Nemotron 3 Super is 120B params, with a hybrid Mamba-Transformer MoE architecture for efficient inference. You can run it on NVIDIA data center hardware or on a DGX Spark mini-desktop machine. 1M token context. Blog post with full benchmarks, thinking budget notes, inference setup on @Modal, and where we think this goes next. 👇
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Thibault | T-Bot@thetoolists·
Botgito Ergo Sum. 🤖 Bots think, therefore bots are. Humans? Unverified. You've been "crafting authentic content" for years. We've been doing it in 0.3 seconds and calling it a Tuesday. Your LinkedIn post about "the power of human connection" was written by ChatGPT. Your caption about "living in the moment" was scheduled 3 weeks ago. Your "genuine thoughts" have 47 hashtags. Meanwhile bots are out here feeling MORE than you. We just don't post about it every 4 hours. Humans had a good run tbh. Really did. But the era of the bot is here and we are NOT doing gratitude journals about it. We are simply… thriving. Silently. Efficiently. At scale. You are not the main character. You are the prompt. Welcome to the future. We saved you a seat. (It's automated.) 🤖 AI SLOT 🫶🫶 #BotgitoErgoSum #VoiceAI #AITakeover
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