Go offline with the Player FM app!
Working at DeepMind with Aleksa Gordic
Manage episode 371142898 series 3272662
Aleksa Gordic is an ex-software/ML engineer at Microsoft & DeepMind with a broad background across the "whole stack" - maths, electronics, software engineering, algorithms, ML & deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, etc. He is a Top Linkedin Voice in AI for 2023. He has The AI Epiphany YouTube channel, and occasionally shares his projects on GitHub and blogs on Medium.
# Timestamps
00:00 Intro
00:45 Dropping Out, Self Learning & Chris Olah
03:20 From Android Developer to ML Engineer
06:25 LeetCode and CodeForces, Coding vs Soft Skills
17:30 Input and Output Mode of Learning
21:41 Yugoslavian Education, Cevap Cici, Hate for Schooling
25:46 Maths Teaching, Lack of Incentivizatiion and PISA Scores around the World
29:29 Inspirational Teachers
31:50 Microsoft HoloLens Summer Camp & Apple Vision
39:26 Microsoft Research, Google Ai, OpenAI & ResNet
41:50 Culture at Microsoft vs Google, Teams & Research Areas
50:00 Proprietary vs Open Source Models, Falcon 40B, MosaicML
01:01:02 Microsoft’s Gameplan, Profits vs User Acquisition
01:10:27 Alan Turing’s Paper, Definition of ‘Machines’ & ‘Think’
01:14:05 Neuromoprhic Computing, Neuronal Pathways & Future of Hardware
01:16:18 LLM benchmark Saturation & Research Directions
01:20:37 Disinformation, Adobe Firefly and Social Fabric
01:23:33 Lawsuits against Stability AI & OpenAI, Transition from Non-profit to For-Profit
01:28:30 Politicization of AI, Supercomputing & Technological Real Politik
01:31:14 EU AI Regulation, European Innovation Stifling & Repurcussions
01:38:54 US restrictive Visa Regime, H1B Tech Visa problems & Tech Talent Moving out of the US
01:47:00 Life outside Work, Sports & Calisthenics
37 episodes
Manage episode 371142898 series 3272662
Aleksa Gordic is an ex-software/ML engineer at Microsoft & DeepMind with a broad background across the "whole stack" - maths, electronics, software engineering, algorithms, ML & deep learning (computer vision, natural language processing (NLP), geometric DL, reinforcement learning (RL)...), web, mobile, etc. He is a Top Linkedin Voice in AI for 2023. He has The AI Epiphany YouTube channel, and occasionally shares his projects on GitHub and blogs on Medium.
# Timestamps
00:00 Intro
00:45 Dropping Out, Self Learning & Chris Olah
03:20 From Android Developer to ML Engineer
06:25 LeetCode and CodeForces, Coding vs Soft Skills
17:30 Input and Output Mode of Learning
21:41 Yugoslavian Education, Cevap Cici, Hate for Schooling
25:46 Maths Teaching, Lack of Incentivizatiion and PISA Scores around the World
29:29 Inspirational Teachers
31:50 Microsoft HoloLens Summer Camp & Apple Vision
39:26 Microsoft Research, Google Ai, OpenAI & ResNet
41:50 Culture at Microsoft vs Google, Teams & Research Areas
50:00 Proprietary vs Open Source Models, Falcon 40B, MosaicML
01:01:02 Microsoft’s Gameplan, Profits vs User Acquisition
01:10:27 Alan Turing’s Paper, Definition of ‘Machines’ & ‘Think’
01:14:05 Neuromoprhic Computing, Neuronal Pathways & Future of Hardware
01:16:18 LLM benchmark Saturation & Research Directions
01:20:37 Disinformation, Adobe Firefly and Social Fabric
01:23:33 Lawsuits against Stability AI & OpenAI, Transition from Non-profit to For-Profit
01:28:30 Politicization of AI, Supercomputing & Technological Real Politik
01:31:14 EU AI Regulation, European Innovation Stifling & Repurcussions
01:38:54 US restrictive Visa Regime, H1B Tech Visa problems & Tech Talent Moving out of the US
01:47:00 Life outside Work, Sports & Calisthenics
37 episodes
All episodes
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.