- AI Minds Newsletter
- Authors
- Jose Nicholas Francisco
Jose Nicholas Francisco
Jose is a Machine Learning Developer Advocate at Deepgram, aiming to demystify the inner workings of AI. He has a background in software engineering, with projects focused on financial fraud detection. Jose earned a bachelor's and master's degree in computer science with a focus on AI and NLP from Stanford University. He currently lives in San Francisco with his friends.
Using OpenAI’s Sora for Endoscopies, Andrew Ng’s AI Product Management Manifesto, and Why People Can't Detect Voice Clones
Medical professionals can now view the inside of patient's bodies with AI and without invasive surgery, Andrew Ng examines the merits of AI Product Management, and researchers' latest insights into the difficulties of voice clone detection.
Elon Musk escalates feud with Altman, Zuckerberg on Open-Sourcing Billion-Dollar Projects, and How to Detect Deepfakes
Elon Musk's investment disagreements with Sam Altman escalate, Mark Zuckerberg discusses open-sourcing $10B projects, and what the latest research reveals about deepfake detection
Jensen Huang talks Elon Musk’s Colossus, Mark Rober Judges Robot Chefs, and Why Ben Affleck’s bearish on LLM screenwriters
Mark Rober and Nick DiGiovanni collab on a robot cooking contest, Jensen Huang discusses Elon Musk's new Colossus supercomputer, and why Ben Affleck thinks LLMs don't stand a chance against human screenwriters and actors.
Zuckerberg on Storing Brains in Cloud, How AI harms students but helps adults, and why AI-reviews might outperform peer-reviews
Zuckerberg on uploading your brain into the cloud, research shows that AI can hurt learners while helping professionals, and why peer-reviewed papers may not be the future...
Google DeepMind’s Paper Wins Nobel Prize, AI’s Memory Bottleneck, and Codestral 22B versus Owen 2.5, versus DeepSeek V2
How AI won the Nobel Prize in Chemistry, Why memory—not compute—will be machine learning's biggest bottleneck, and which latest coding copilot is truly the best.