Hearted Youtube comments on george hotz archive (@geohotarchive) channel.

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  8. 1:16 geo listens to stars - your ex lover is dead (mute) 5:30 un-mute 6:05 geo explains what he's going to be doing 6:23 geo talks about last stream 7:30 who does geo respect 10:02 goes through non contrutive proof 13:16 hater in the twitch chat about george fooling us 15:00 geo finds a bug in his budy beaver code 18:21 explains about schems 18:30 geo talks about why his vim setup doesn't matter 19:50 geo talks about the best way to teach/ learn things 23:21 geo starts working 29:59 geo finds write yourslef a scheme in 48 hours wiki book 31:41 what is monad? 35:22 timeout more people - we need standards on the internet 41:15 parsec haskell 42:54 is learning haskell useful? 45:26 insight into how to make sure you are learning 50:33 let's do a float 1:05:19 what geo is going to do about dumbness in twitch chat 1:08:03 single-qute syntactic sugar of scheme 1:08:20 structure and interpretation of computer programming book 1:10:53 on pervious stream geo on web devlopers 1:12:35 ohh no my float's broken 1:13:00 geo fixes the float - we just gotta try 1:15:17 which exercise do we want to do? 1:15:51 what are vectors 1:16:00 this is all too much not doing any of these 1:17:26 geo's story about motivation 1:18:30 evaluator 1:25:26 things are getting exicting watch this bois (impleating the plus) 1:33:00 testing if plus works 1:35:22 keyboard question after long time 1:36:47 learning about symbol handling function 1:40:26 gifting subs 1:41:08 learning about PVM 1:43:35 looking at the diffrent PVM 1:49:16 can you make GPT-3 for videos? 1:54:00 GPT-3 and turing test 2:14:37 adding variables and assignment 2:15:10 disabling channel points twitch 2:20:01 the problem with internet communities 2:28:18 what is a good question and a bad question 2:38:32 vitalik homomorphic encryption - talks about few other stuff after this 2:44:36 george gives us Home work for next stream + test
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  13. 00:07 George Hotz talks about engagement with AMD and lack of substance in communication. 03:14 Understanding the dynamics of dealing with big companies like Qualcomm and Nvidia 08:12 Tech industry leaders' videos reflect their personalities. 11:00 Tiny grad not expected to excel in the near future compared to competitors. 16:13 AMD's GPU drivers have issues and require constant mitigations 18:10 Challenges in competing with NVIDIA and AMD's intentions 22:37 Challenges with AMD firmware and driver 25:18 AMD lacks desire for greatness and won't surpass Nvidia in machine learning. 31:38 Analyzing AMDGPU ioctls and GPU memory 35:47 Discussing AMDGPU ioctls and GPU memory in programming 45:15 Exploring AMDGPU ioctls and GPU memory manipulation in Programming 51:58 Discussing AMDGPU ioctls and GPU memory controls 1:11:37 Understanding AMDGPU ioctls and GPU memory in programming. 1:17:13 AMD's culture tolerates mediocrity 1:24:48 Acquiring a VM and setting memory policy for GPU 1:29:29 Troubleshooting GPU memory allocation errors 1:38:27 Exploring GPU memory allocation and mapping in detail 1:41:52 Needed to handle memory allocation for the GPU 1:50:43 Exploring GPU memory manipulation and debugging in programming 1:55:41 Exploring GPU memory allocation and mapping 2:04:29 Understanding GPU memory allocation and device mapping 2:10:14 Casting and mapping GPU memory in Python 2:21:23 Exploring GPU memory allocation and flags 2:24:49 Understanding GPU memory allocation and guard pages. 2:31:45 Exploring mapping GPU memory and TMR 2:34:59 Explanations on GPU memory allocation and kernel interfaces without using AMD userspace 2:39:21 AMDGPU ioctls and GPU memory 2:53:43 Exploring ways to bypass Python execution environment for graph construction in machine learning. 2:58:38 Comparison between Intel Arc and Nvidia GPUs 3:01:31 Competition with Nvidia may lead to price adjustments for gaming cards 3:07:21 Discussion on the challenges of writing compute drivers and the need for better programming languages 3:11:21 Discussion on reverse-engineering AMD's userspace drivers 3:15:51 Explanation of Ops and UOPs in GPU processing 3:18:13 Indexing movement operations in terms of assembly instructions for GPUs. 3:22:30 Discussing cash aware matrix multiply and graph compiler in computing 3:24:31 Discusses progress on various programming concepts and tools 3:29:12 Optimizing GPU memory allocation for improved performance 3:31:26 Explaining the need for specific hardware command cues over graphs in GPU memory 3:36:00 Improving AMD through rigorous testing 3:38:19 Discussion on generating repeatable examples for open source vs. business approach 3:42:41 George Hotz emphasizes on speed and Nvidia over AMD for normal users. 3:44:55 George Hotz criticizes AMD for not open-sourcing and improving their drivers. 3:50:36 Advocating for open-sourcing AMD firmware to avoid exploitation. 3:52:41 Warning against illegal activities and encouraging leaks 4:01:22 Challenges in creating a GPU simulation environment 4:04:35 Discussing chip tape-out cost and fundraising for Tiny 4:09:52 Planning to take out 12nm chip, closer to GPU design 4:12:56 Emphasizing respect for greatness in technology innovation 4:20:20 Discussing plans to own Fab equipment and create own atoms 4:25:14 Exploring FPGA technology and its potential in GPU memory 4:40:43 Discussing GPU options and considerations for software development 4:47:33 Discussion on GPU memory specifications and comparison with other GPUs. 4:56:44 Understanding AMDGPU IOCTLS and GPU memory 5:01:15 Troubleshooting GPU memory allocation and pointer lookup 5:12:18 Discussion on different Q types and AQL packets in AMDGPU driver development 5:15:22 Ensuring minimal GPU resets for stable performance 5:23:21 Identifying and addressing performance issues in AMDGPU ioctls 5:25:56 Exploring kernel optimizations and AMDGPU ioctls for GPU memory 5:32:22 Quality PR with version checking and pre-re improvement 5:35:12 Provided feedback on questionable code quality 5:39:59 George Hotz is discussing AMDGPU ioctls and GPU memory. 5:42:20 Development of new driver 'kfd' 5:51:21 Importance of honest communication in decision-making process 5:54:06 Opt for written communication over phone calls to avoid miscommunication 5:59:19 Effective communication for successful collaboration 6:02:24 AMD's lack of aspiration to greatness 6:06:54 Discussion on hardware bugs in AMD GPU and their impact on schedule 6:10:08 AMD's rushed launch and bad decision-making 6:18:06 Understanding memory mapping and allocation for GPUs 6:23:03 Troubleshooting GPU memory mapping and manipulation 6:30:23 Building custom GPUs and addressing hardware failures 6:33:27 Discussing the potential of AI and limitations of GPU memory usage 6:41:47 Identifying hardware issues with AMD GPU 6:48:57 Troubleshooting GPU memory issues 7:00:58 Challenges with AMDGPU ioctls and GPU memory 7:03:53 AMD does not have the capacity or desire for ML, lacking software development. 7:11:00 George tested a crash on computers and discussed issues with AMD 7:13:28 Fixing AMD GPU crashes with external Raspberry Pi monitoring 7:20:06 Discussion on AMDGPU issues and desire for reliability. 7:22:56 Challenges with AMD's GPU and software cooperation Crafted by Merlin AI.
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