Welcome (back) to AI Minds, a newsletter about the brainy and sometimes zany world of AI, brought to you by the Deepgram editorial team.

In this edition:

• 🎥 Jensen Huang and Tiff in Tech on the next big emerging technologies

• 🧠 Researchers’ Large Knowledge Models (LKMs): A response to Meta’s LCMs? 

• 🔊 Gender Biases in Error Mitigation by Voice Assistants

• ⚒️ 4 Considerations for Building Voice AI Agents: Latency, Accuracy, Costs, Humanity

• 🚀 Sci-fi tech come to life: Building a live translator for radio broadcasts

• 🐦 Twitter: Karpathy talks GPUs and even more AI Robots

• 📲 3 New Trending AI Apps for you!

• 🎙️ AI Minds Podcast with Vaibhav Saxena, Co-Founder at Infer!

• 🤖 Torso 2 by Clone has a spine and an abdomen

• 💻 The intersection of AI and neuroscience with Lex Fridman and Andrew Huberman

• 🦾 AI should empower (not replace) workers

• 📚 An in-depth look into AI and Customer Service

Thanks for letting us crash your inbox; let’s party. 🎉

🎥 Jensen Huang on Robotics and the next Big Emerging Technologies

Founder, software developer, and YouTuber Tiff in Tech has an enlightening conversation with NVIDIA CEO Jensen Huang. From robot training, to autonomous vehicles the two entrepreneurs reveal the status quo of the cutting edge of technology.

And if you’re a tech enthusiast looking for some career advice from some of the greatest minds of our day, skip to 11:08 in the video 😉

🔍  Large Knowledge Models (LKMs) and Gender Biases in Voice Assistants

Quo Vadis ChatGPT? From large language models to Large Knowledge Models - LLMs’ successes are limited in highly scientific domains as they cannot yet reason, plan, or explain due to their lack of in-depth mechanistic domain knowledge. This paper discusses what is perhaps a complement to Meta’s Large Concept Models (discussed here two weeks ago) The Large Knowledge Model (LKM).

Gender Biases in Error Mitigation by Voice Assistants - Researchers from Johns Hopkins state that “commercial voice assistants are largely feminized and associated with stereotypically feminine traits such as warmth and submissiveness.” As these assistants continue to be adopted for everyday uses, it is imperative to understand how the portrayed gender shapes the voice assistant’s ability to mitigate errors.

⚡ What an AI Receptionist is and the Best arXiv Papers on Medical AI

4 Key Considerations for Building Voice AI Agents: Latency, Accuracy, Costs, Humanity - Building effective AI agents requires balancing four critical pillars: latency, accuracy, costs, and humanity. This article gives you a step-by-step walkthrough on how to construct the perfect Voice AI paradigm for you. Demos, statistics, and code lurk within!

Sci-Fi Tech Come to Life: Building the Universal Translator from Star Trek with AI and LLMs - We’re coming up on the two-year anniversary of this article and the demo it entails. Check out how far we’ve come! In this tutorial, you’ll learn how to translate a radio broadcast in real time.

🐝 Social Media Buzz: More AI Robots and Karpathy talks GPUs

📲 Three new, trending AI Apps for you!

Levr AI emerges as a beacon of support for entrepreneurs and business owners, shedding light on the significance of capital and offering innovative solutions to the age-old challenge of funding. It’s the workflow platform for financial services.

Armilla AI is a platform dedicated to responsible AI deployment, model testing, and validation. Since 2019, Armilla AI has positioned itself as a leader in ensuring that generative AI models are not only high-performing but also trustworthy and fair. One of their standout offerings, the AutoAlign™ platform, promises to iteratively improve AI model performance based on user-specified expectations.

Take2 AI is a marketplace specially designed for career pivoters, offering a unique opportunity to embark on high-growth careers. With its focus on connecting candidates seeking to transition careers with job opportunities where their skills and past experiences are not just recognized but celebrated, Take2 ensures a smoother, more efficient job search process.

🎤 The AI Minds Podcast

Vaibhav Saxena, Co-Founder at Infer, a company which accelerates revenue growth with AI voice bots automating phone conversations and executing tasks like humans for insurance and lending.

In this podcast, he shares his journey from being an architect to diving deep into AI, inspired by a passion for interdisciplinary learning and a leap of faith into engineering and deep learning.

Vaibhav highlights the importance of transparency when deploying AI, sharing insights into customer behavior when interacting with voice agents and the evolving trust in AI technology.

🤖 Bonus Bits and Bytes!

• 🎞️ Torso 2 by Clone with Actuated Abdomen - Cool or Scary? Clone's Torso 2 is the most advanced android ever created with an actuated lumbar spine and all the corresponding abdominal muscles. Though its white, translucent skin might seem a bit less-than-human.

• 🧠The intersection of AI and neuroscience - Stanford Neuroscientist Andrew Huberman and MIT Robotics Scientist Lex Fridman discuss how human brains and mechanical brains compare.

• 🦾 AI should empower (not replace) workers - This article is a collaboration between MosaicVoice and Deepgram on the way technology’s rapid evolution impacts the job market. Indeed, there are ways for us to mitigate job losses. Here’s how.

• 📚 A look into AI in Customer Service - Enter the world of AI customer service—a revolutionary approach that is transforming how companies interact with their customers. From recommendation systems to sentiment analysis, see how businesses all over the world are improving their customers’ experiences.