Hacker News
- AI and Compute https://blog.openai.com/ai-and-compute/ 3 comments technology
- Since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period) https://blog.openai.com/ai-and-compute/ 19 comments hardware
Linking pages
- Learning Dexterity https://blog.openai.com/learning-dexterity/ 160 comments
- OpenAI Five Benchmark: Results https://blog.openai.com/openai-five-benchmark-results/ 123 comments
- AI Nationalism — Ian Hogarth https://www.ianhogarth.com/blog/2018/6/13/ai-nationalism 89 comments
- The World’s Fastest Supercomputer Breaks an AI Record | WIRED https://www.wired.com/story/worlds-fastest-supercomputer-breaks-ai-record/ 42 comments
- How AI Training Scales https://blog.openai.com/science-of-ai/ 15 comments
- The End of Open AI Competitions. From the founder of the StarCraft AI… | by Ben Weber | Towards Data Science https://towardsdatascience.com/the-end-of-open-ai-competitions-ff33c9c69846 11 comments
- What I learned from spending a year as a solo machine learning researcher | by David Mack | Octavian | Medium https://medium.com/@DavidMack/what-i-learned-from-spending-a-year-as-a-solo-machine-learning-researcher-7f2266203d94 4 comments
- Launching the Wolfram Neural Net Repository—Wolfram Blog http://blog.wolfram.com/2018/06/14/launching-the-wolfram-neural-net-repository/ 1 comment
- OpenAI Five intro https://blog.gregbrockman.com/openai-five-benchmark-intro 0 comments
- The future of AI is on blockchain | by Sebastian Wurst | Good Audience https://medium.com/@sebastianhrw/the-future-of-ai-is-on-blockchain-1b4049ae2963 0 comments
- Understanding China's AI Strategy | Center for a New American Security (en-US) https://www.cnas.org/publications/reports/understanding-chinas-ai-strategy 0 comments
- Learning Dexterity https://openai.com/blog/learning-dexterity/ 0 comments
- OpenAI cofounder Greg Brockman on the transformative potential of artificial general intelligence | VentureBeat https://venturebeat.com/2018/06/25/openai-cofounder-greg-brockman-on-the-transformative-potential-of-artificial-general-intelligence/ 0 comments
- Next things we are thinking about at betaworks | by John Borthwick | Render-from-betaworks https://render.betaworks.com/next-things-we-are-thinking-about-at-betaworks-9a7d73f22a08 0 comments
- How Big is Big Data?. We have entered the Age of the Data for… | by Przemek Chojecki | Towards Data Science https://towardsdatascience.com/how-big-is-big-data-3fb14d5351ba 0 comments
- The case for building expertise to work on US AI policy, and how to do it - 80,000 Hours https://80000hours.org/articles/us-ai-policy/ 0 comments
- Most impactful AI trends of 2018: the rise of ML Engineering | by Emmanuel Ameisen | Medium https://medium.com/@emmanuelameisen/most-impactful-a-i-trends-of-2018-the-rise-of-ml-engineering-4b1c704f263c 0 comments
- Teb’s Tidbits: Neural Networks, Moore’s Law, A Word of Caution… and Dinosaurs! | by Tyler Elliot Bettilyon | Medium https://medium.com/@TebbaVonMathenstien/tebs-tidbits-neural-networks-moore-s-law-a-word-of-caution-and-dinosaurs-c869ca2127fc 0 comments
- An Overview Of The Distributed Computing Landscape | Union Square Ventures http://www.usv.com/blog/an-overview-of-the-distributed-computing-landscape 0 comments
- AI Reading List. For newcomers to the field of… | by Vishal Maini | Machine Learning for Humans | Medium https://medium.com/@v_maini/ai-reading-list-c4753afd97a 0 comments
Linked pages
- ChatGPT https://chat.openai.com/ 742 comments
- Preparing for malicious uses of AI https://blog.openai.com/preparing-for-malicious-uses-of-ai/ 228 comments
- OpenAI Status https://status.openai.com 195 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- When will computer hardware match the human brain? by Hans Moravec https://jetpress.org/volume1/moravec.pdf 130 comments
- [1609.08144] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation http://arxiv.org/abs/1609.08144 97 comments
- http://learningsys.org/nips17/assets/slides/dean-nips17.pdf 51 comments
- [1611.01578] Neural Architecture Search with Reinforcement Learning https://arxiv.org/abs/1611.01578 38 comments
- [1512.02595] Deep Speech 2: End-to-End Speech Recognition in English and Mandarin http://arxiv.org/abs/1512.02595 19 comments
- Redirect http://www.fast.ai/2018/04/30/dawnbench-fastai/ 17 comments
- [1312.5602] Playing Atari with Deep Reinforcement Learning http://arxiv.org/abs/1312.5602 10 comments
- https://www.nytimes.com/2018/01/14/technology/artificial-intelligence-chip-start-ups.html 7 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- https://jobs.lever.co/openai/638c06a8-4058-4c3d-9aef-6ee0528fb3bf 4 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf 4 comments
- https://newsroom.intel.com/wp-content/uploads/sites/11/2018/05/moores-law-electronics.pdf 0 comments
- [1712.00409] Deep Learning Scaling is Predictable, Empirically https://arxiv.org/abs/1712.00409 0 comments
- http://web.engr.oregonstate.edu/~tgd/publications/mcs-ensembles.pdf 0 comments
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