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A conversation with OpenAI's CEO Sam Altman - Hosted by Station F (Paris) - Verbatim


Sam Altman at Station F - 26 May 2023 - Image source: the author

I was privileged to attend a Fireside chat with Sam Altman, OpenAI’s CEO, on May 26 at Station F in Paris. This conversation was moderated by Roxanne Varza, the Director of Station F. For those unable to attend, I've compiled a selection of verbatim questions from the session in an easy-to-navigate format.

While Sam Altman’s European tour is covered in the press, I think it can be interesting to present the 'raw' conversations on these topics that can clearly be of public interest. Some headlines may give the impression that Altman's positions are inconsistent. But, actually listening to Altman, whether or not you agree with all his views (I don't), it is clear he’s not just spouting nonsense wherever he goes

Notes about gsplat / 3DGS: 3D Gaussian Splatting (~WIP)

I'm planning to turn this into an "awesome-gsplat" repository (https://github.com/sindresorhus/awesome) or a wiki on some repository.

Feel free to add comments to this gist for now.

I'm contiuining to update this, and will hopefully get to reformatting it with thumbnails and further information (especially on performance and capabilities of implementations).

	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD

	"""
	BEGIN GPL LICENSE BLOCK

	(c) Dealga McArdle 2012 / blenderscripting.blogspot / digitalaphasia.com

	This program is free software; you may redistribute it, and/or
	modify it, under the terms of the GNU General Public License
	as published by the Free Software Foundation - either version 2
	of the License, or (at your option) any later version.

	"""
	MIT License

	Copyright (c) [year] [fullname]

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is

	## Unofficial Dockerfile for 3D Gaussian Splatting for Real-Time Radiance Field Rendering
	## Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George Drettakis
	## https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/

	# Use the base image with PyTorch and CUDA support
	FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel


	# NOTE:
	# Building the libraries for this repository requires cuda DURING BUILD PHASE, therefore:

	# py kapture-cropper.py -i dataset-kapture\ --border_px 0 --scale_factor 1 -v

	import kapture
	import kapture.io.csv as csv
	from PIL import Image
	from kapture.io.csv import kapture_to_dir
	import os, logging, argparse
	import kapture.utils.logging

	logger = logging.getLogger("kapture-cropper")