PopTask — Your Mac menu bar now has a brain
Type messy, shorthand tasks like "mtg mon 9am" and PopTask schedules them instantly. AI breakdown, live countdown timers, smart reminders, 7 languages. No account, no cloud — fully private. https://
buff.ly/grL0qQb
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PopTask AI-Powered Mac Menu Bar Task Scheduler Launches
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Kinovi AI Video Director Tool Built on Seedance 2.0
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Kinovi — Be your own director
Turn prompts + reference files into cinematic AI clips. Upload up to 9 images, 3 videos & 3 audio tracks, use @-tag direction for shot control, and generate watermark-free clips in under a minute. Built on Seedance 2.0. http://
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Jupid AI Accountant Handles LLC Formation Bookkeeping and Taxes
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Jupid — Your AI accountant in a chat window
Handles LLC formation, bookkeeping, and tax filing via simple conversation. Connects to your bank + Stripe, auto-categorizes transactions, and keeps your books IRS-ready year-round. https://
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7 Trending AI Tools for Productivity and Creative Output
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Our 7 Trending AI tools for the week to organize your mind, run your back-office and scale your creative output. Let's break them down Kinovi http://
Template.net Jupid PopTask
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Run Gemma 4 Locally in Your Browser
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2. Run Gemma 4 entirely in your browser nitter.net/ClementDelangue/status… clem 🤗 (@ClementDelangue) You can run Gemma 4 100% locally in your browser thanks to HF transformers.js. That means 100% private and 100% free! @xenovacom created a demo for it here: huggingface.co/spaces/webml-… — https://nitter.net/ClementDelangue/status/2039782910996148508#m [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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Mac Studio M2 Ultra runs Gemma 4 26B at 300 tokens per second
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1. Mac Studio M2 Ultra running Gemma 4 26B at 300 tokens/sechttps://t.co/XXyps9Y7OQ
— AI Highlight (@AIHighlight) 6 avril 20261. Mac Studio M2 Ultra running Gemma 4 26B at 300 tokens/sec nitter.net/ggerganov/status/20397… Georgi Gerganov (@ggerganov) Let me demonstrate the true power of llama.cpp: – Running on Mac Studio M2 Ultra (3 years old) – Gemma 4 26B A4B Q8_0 (full quality) – Built-in WebUI (ships with llama.cpp) – MCP support out of the box (web-search, HF, github, etc.) – Prompt speculative decoding The result: 300t/s (realtime video) — https://nitter.net/ggerganov/status/2039752638384709661#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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AgentOps: The Full Stack for Scaling Autonomous AI Agents
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AgentOps = MLOps for autonomous AI. 🧠⚙️ To scale agents in production you need the full stack: 🗺️ planning 🧠 memory/context 🤖 execution (tools/APIs/code) 📈 monitoring 🔁 optimization 🛡️ governance 🏗️ infrastructure Agents don’t scale without operations. #AgentOps #AIAgents #AgenticAI #LLMs #Automation
→ View original post on X — @ingliguori, 2026-04-06 12:17 UTC
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Pika Labs Launches AI Agents for Live Video Calls
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AI agents are starting to join meetings. Pika Labs just launched a beta feature that lets AI agents enter live video calls—with voice, memory, and real-time responses.
Powered by PikaStream 1.0, this enables: • Real-time conversation (not just chat)
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Apple MPS: GPU Acceleration for AI on Apple Devices
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Apple MPS: Unlocking GPU Acceleration for AI on Apple Devices
— Satya Mallick (@LearnOpenCV) 6 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Apple MPS (Metal Performance Shaders), Apple’s framework for accelerating machine learning workloads directly on Mac hardware. Designed to… pic.twitter.com/2412mCnOsNApple MPS: Unlocking GPU Acceleration for AI on Apple Devices In this episode of Artificial Intelligence: Papers and Concepts, we explore Apple MPS (Metal Performance Shaders), Apple’s framework for accelerating machine learning workloads directly on Mac hardware. Designed to leverage the power of Apple Silicon GPUs, MPS enables developers to train and run AI models efficiently without relying on external hardware or cloud infrastructure. We break down how MPS integrates with popular frameworks like PyTorch, why on-device acceleration is becoming increasingly important for privacy and performance, and what this means for developers building AI applications within the Apple ecosystem. If you’re interested in AI infrastructure, hardware acceleration, or running models locally on consumer devices, this episode explains why Apple MPS represents a key step toward more accessible and efficient machine learning. Resources: Paper Link: developer.apple.com/document… Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or visit us at bigvision.ai
→ View original post on X — @learnopencv, 2026-04-06 09:20 UTC
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5G Traffic Optimization: Smart Traffic Lights Detect Vehicles
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C'est ce que j'avais proposé a un hackathon polytech aux étudiants. T'arrives a 3h du matin, y'a personne et t'attend que le feu passe au vert. Alors qu'avec la 5g y'a la possibilité que les feux voient, détectent les vehicules a l'arrêt au croisement, et communiquent pour