🎙️NVIDIA’s Parakeet AI Transcribes Audio Fast!

PLUS: 🔥Mira AI Speeds Media Research – Boost Marketing Now!

Welcome to AI Entrepreneurs

This issue is packed with power moves and practical tools—NVIDIA’s record-breaking speech model, Meta’s push toward human-like perception, Bezos backing smarter data, and AI catching silent heart risks in moms-to-be. Plus, we explore how GPT-4o can help you craft high-impact LinkedIn carousels and turn AI into your next income engine.

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NVIDIA

NVIDIA Open-Sources Lightning-Fast ASR Model: Parakeet TDT 0.6B V2

NVIDIA has released Parakeet TDT 0.6B V2, a high-speed automatic speech recognition (ASR) model that sets a new benchmark on Hugging Face’s Open-ASR leaderboard—with real-time factor (RTFx) of 3380.

Key Highlights:

  • Ultra-Fast Inference: Transcribes 60 minutes of audio in just 1 second (RTFx 3380 at batch size 128).

  • Architecture: Combines a FastConformer encoder with a TDT decoder, supporting audio inputs up to 24 minutes with punctuation, capitalization, and detailed timestamps.

  • Training Specs: Pretrained over 120K hours of speech data (human + pseudo-labeled), including LibriSpeech, Fisher, YTC, YODAS, and more.

  • Fine-Tuning: Refined on 500 hours of high-quality human-transcribed English; trained on 128 A100 GPUs over 150K steps.

  • Open Licensing: Released under CC-BY-4.0, enabling commercial use.

  • Availability: Deployable via nemo_toolkit['asr'] and runs on Ampere, Blackwell, Hopper, and Volta GPUs with as little as 2GB RAM.

Why It Matters: Parakeet TDT 0.6B V2 makes state-of-the-art transcription accessible to researchers and developers, with real-world applications ranging from voice assistants to enterprise-level meeting summarization. NVIDIA’s open-source release accelerates the pace of innovation in speech AI while enabling commercial adoption at scale.

META

Meta FAIR Unveils Breakthrough AI Tools for Human-Like Perception and Collaboration

Meta's Fundamental AI Research (FAIR) team has introduced a suite of cutting-edge AI models aimed at advancing machine perception and collaborative reasoning.

Source: Meta

Key Highlights:

  • Perception Encoder: Vision model for images/videos; tops zero-shot classification and retrieval.

  • PLM: Open vision-language model trained on 2.5M labeled video QA samples.

  • Meta Locate 3D: Maps natural language to 3D objects for robot interaction.

  • Collaborative Reasoner: Tests and trains LLMs for teamwork and conversation.

Why It Matters:These advancements represent significant strides toward achieving advanced machine intelligence, with Meta FAIR emphasizing open-source releases to foster community collaboration and accelerate progress in AI research.

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MELTWATER

Meltwater Launches Mira: AI Teammate Built for Real-Time Media Intelligence

Meltwater has unveiled Mira, a powerful AI teammate designed to simplify complex media workflows with conversational intelligence. Announced during Meltwater’s 2025 Mid-Year Product Release, Mira combines GenAI with AI agents to streamline tasks like brand monitoring, news briefings, and competitive analysis—cutting hours of work down to seconds.

Source: MeltWater

Key Highlights:

  • Mira delivers instant, actionable insights via chat—no Boolean logic, dashboards, or deep platform knowledge required.

  • Powers multi-step workflows like media monitoring, PR analysis, and social listening with contextual guidance and recommendations.

  • Backed by Meltwater’s daily analysis of 1+ billion news and social media conversations with enterprise-grade data security and governance.

  • Meltwater Copilot brings Mira’s intelligence into Microsoft Teams and Office tools for seamless collaboration and decision-making.

Why It Matters: Mira shifts AI from a passive tool to an active teammate, collapsing days of analysis into a single conversation. It empowers communication, marketing, and research professionals to cut through data clutter and act with precision—right when it matters most.

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AI BYTES

Source: ideogram 3.0/TheAIEntrepreneurs

SAS Viya’s AI Agents: SAS unveiled AI Agents for its SAS Viya platform, featuring customizable human-AI interaction and governance for trusted decisions. This could enhance data-driven storytelling in carousels, pulling real-time insights from analytics.

Jeff Bezos Invests in Toloka: Bezos Expeditions led a $72M investment in Toloka, an AI data solutions firm that trains models with human experts. This highlights the growing role of high-quality data in AI, useful for creating accurate, engaging carousel content.

Apple’s AI Search Shift: Apple is exploring AI-powered search for Safari, potentially moving away from Google. This trend toward AI-driven content discovery could influence how you optimize carousel visibility on platforms like LinkedIn.

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  • A curated collection of 200+ profitable opportunities spanning content creation, e-commerce, gaming, and emerging digital markets—each vetted for real-world potential

  • Step-by-step implementation guides designed for beginners, making AI accessible regardless of your technical background

  • Cutting-edge strategies aligned with current market trends, ensuring your ventures stay ahead of the curve

Download your guide today and unlock a future where artificial intelligence powers your success. Your next income stream is waiting.

AI HEALTH

AI Catches Hidden Heart Risks in Moms-to-Be!

A new AI-ECG tool from Mayo Clinic detects early signs of heart weakness in women—before symptoms appear or pregnancies begin. With an AUC of 0.94, it's a game-changer for maternal health.

Why It Matters: 1–3% of women in primary care settings have undiagnosed heart issues. This AI offers a fast, non-invasive way to detect risks early—before complications occur.

Inside Issue #47:
• 10-min arthritis diagnosis powered by AI fluid analysis
• AI-ECG catches hidden heart risks in moms-to-be
• AI chatbots support opioid recovery with empathy
• Vote: Dr. ChuckleBot or Nurse TickleTron—who wins 2050?

👉 Dive into the future of health! Subscribe now at AIHealthTechInsider.com

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AI CREATIVITY

In this tutorial, you’ll learn how to use GPT-4o to design a scroll-stopping LinkedIn carousel that showcases smart scheduling tools with AI-generated visuals and captions.

Step-by-step:

  • Start with 8-slide structure: Hook, Problem, Solution, Tools (Reclaim, Motion, Clockwise), Before/After, CTA

  • Use GPT-4o to generate 1:1 images with prompts like “Messy desk to digital calendar” and “AI organizing a cluttered schedule”

  • Add titles and text overlays in Canva or Figma for extra polish and branding consistency

  • Combine the slides into a single PDF and upload as a document post on LinkedIn

Pro tip: Keep each slide under 15 words. Use bold, clear fonts and your brand colors to stay on-theme.

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