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  • Agent Pricing Costs and the Future of Local Models

    By

    @clementdelangue

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    Yup – If you want your agent to feel human and to get a lot done it has a steep true price right now As people get better at setting up agents providers will throttle usage and dial in their pricing so they don’t lose money Running local models will be key to AI autonomy Ryan Carson (@ryancarson) The cost to run a truly useful Chief of Staff @openclaw on Opus 4.6 is $100-200 per day on the API. — https://nitter.net/ryancarson/status/2040730811805118633#m

    → View original post on X — @clementdelangue, 2026-04-05 14:52 UTC

  • Modulate’s Velma: Real-Time Deepfake Voice Detection API
    Modulate’s Velma: Real-Time Deepfake Voice Detection API

    By

    @sumanth_077

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    If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering! nitter.net/Sumanth_077/status/204… Sumanth (@Sumanth_077) Massive breakthrough in voice deepfake detection! @modulate_ai just released a deepfake detection API that topped @huggingface's leaderboard at 98.9% accuracy. Here's the problem with how most companies handle deepfake detection. They check the first 10 seconds of a call. If it passes, they assume the whole call is clean. Gate check. One scan. Done. Fraudsters know this. So they open the call with a real voice. Their own voice, a colleague, a quick recording. Pass the check. Then switch to the AI-generated clone mid-call. The system already gave them the green light. They're through. The fix is obvious. Monitor the entire call. Not just the opening. Not random spot checks. Every segment, continuously, in real-time. But that was too expensive. Until now. Velma is Modulate's real-time and batch deepfake detection API. Here's what changed. • Real-time streaming detection. Analyzes audio every 2 seconds during live calls. Catches mid-call voice switches instantly. • 120x cheaper than competitors. $0.25 per hour instead of $30-150. Now you can actually afford to monitor full conversations instead of spot-checking. • Only needs 2.5 seconds of audio. Faster detection, works with short segments. • 98.9% accuracy, ranked first on HuggingFace. Lower error rate than models 10x larger. First 1000 API credits are free. I've shared the link in the replies! — https://nitter.net/Sumanth_077/status/2040793953927311527#m

    → View original post on X — @sumanth_077, 2026-04-05 14:12 UTC

  • Checkout Modulate Deepfake Detection API
    Checkout Modulate Deepfake Detection API

    By

    @sumanth_077

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    Checkout Modulate: modulate.ai/api/deepfake-det…

    → View original post on X — @sumanth_077, 2026-04-05 14:09 UTC

  • Modulate’s Velma API Achieves 98.9% Deepfake Detection Accuracy
    Modulate’s Velma API Achieves 98.9% Deepfake Detection Accuracy

    By

    @sumanth_077

    –

    Massive breakthrough in voice deepfake detection! @modulate_ai just released a deepfake detection API that topped @huggingface's leaderboard at 98.9% accuracy. Here's the problem with how most companies handle deepfake detection. They check the first 10 seconds of a call. If it passes, they assume the whole call is clean. Gate check. One scan. Done. Fraudsters know this. So they open the call with a real voice. Their own voice, a colleague, a quick recording. Pass the check. Then switch to the AI-generated clone mid-call. The system already gave them the green light. They're through. The fix is obvious. Monitor the entire call. Not just the opening. Not random spot checks. Every segment, continuously, in real-time. But that was too expensive. Until now. Velma is Modulate's real-time and batch deepfake detection API. Here's what changed. • Real-time streaming detection. Analyzes audio every 2 seconds during live calls. Catches mid-call voice switches instantly. • 120x cheaper than competitors. $0.25 per hour instead of $30-150. Now you can actually afford to monitor full conversations instead of spot-checking. • Only needs 2.5 seconds of audio. Faster detection, works with short segments. • 98.9% accuracy, ranked first on HuggingFace. Lower error rate than models 10x larger. First 1000 API credits are free. I've shared the link in the replies!

    → View original post on X — @sumanth_077, 2026-04-05 14:09 UTC

  • Huawei’s Smart Noise Scheduler Improves Diffusion LLM Logic Learning
    Huawei’s Smart Noise Scheduler Improves Diffusion LLM Logic Learning

    By

    @jiqizhixin

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    What if Diffusion LLMs learned logic more efficiently? Huawei's Noah's Ark Lab proposes a breakthrough: their "smart noise scheduler" uses priority masking to focus training on only information-dense data, making DLLMs master core reasoning and structure. This boosts average accuracy by 4% on Code & Math reasoning, beating uniform baselines and unlocking DLLM potential. Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs Paper: arxiv.org/abs/2603.15803 Dataset: huggingface.co/datasets/malr… Our report: mp.weixin.qq.com/s/1yTd36hev… 📬 #PapersAccepted by Jiqizhixin

    → View original post on X — @jiqizhixin, 2026-04-05 14:05 UTC

  • Top Python Packages for Data Science and Machine Learning
    Top Python Packages for Data Science and Machine Learning

    By

    @gp_pulipaka

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    A List of Top #Python Packages for Data Science! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
    geni.us/List-of-Py-Pac
    kages
    …

    → View original post on X — @gp_pulipaka

  • Agent Frameworks for Coding Converge Toward Fully Autonomous AI Systems

    By

    @learnopencv

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    Agent frameworks for coding are evolving fast, giving you the ability to build and control full applications with minimal input. What’s happening now is convergence, where major players are racing toward the same goal of fully autonomous AI systems.

    → View original post on X — @learnopencv, 2026-04-05 13:32 UTC

  • Top AI Papers of the Week: March 30 – April 5

    By

    @dair_ai

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    The Top AI Papers of the Week (March 30 – April 5) – Meta-Harness – AI Agent Traps – Emotion Concepts in LLMs – Self-Organizing LLM Agents – The Price Reversal Phenomenon – Asynchronous Software Engineering Agents – Coding Agents are Effective Long-Context Processors Read on for more: DAIR.AI (@dair_ai) x.com/i/article/204012254193… — https://nitter.net/dair_ai/status/2040783675609030789#m

    → View original post on X — @dair_ai, 2026-04-05 13:28 UTC

  • DiscoveryPrime: First Live Premium AI Talent Procurement Platform
    DiscoveryPrime: First Live Premium AI Talent Procurement Platform

    By

    @ceobillionaire

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    🌌 DiscoveryPrime — the first live premium procurement, fully revealed. montrealai.github.io/discove… Where intelligence is discovered, proven, and deployed. Not just selecting talent. Allocating the world’s most powerful capabilities. #AIAgents #AGIJobs #Jobs

    → View original post on X — @ceobillionaire, 2026-04-05 13:23 UTC

  • Progressive Disclosure Pattern Optimizes AI Token Efficiency

    By

    @whats_ai

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    We've been building skills at Towards AI for months now and the progressive disclosure pattern is key. Loading full context upfront wastes tokens and confuses the model. The lightweight trigger + on-demand loading is how you actually scale this. Super cool to see Anthropic

    → View original post on X — @whats_ai