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İçerik minhaaj rehman and Minhaaj rehman tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan minhaaj rehman and Minhaaj rehman veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Working at DeepMind with Aleksa Gordic

1:49:49
 
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Manage episode 371142898 series 3272662
İçerik minhaaj rehman and Minhaaj rehman tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan minhaaj rehman and Minhaaj rehman veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

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

  continue reading

37 bölüm

Artwork
iconPaylaş
 
Manage episode 371142898 series 3272662
İçerik minhaaj rehman and Minhaaj rehman tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan minhaaj rehman and Minhaaj rehman veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

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

  continue reading

37 bölüm

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