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This age's biggest technology flub. When the flubber fails to meet the road fortunes will be unmade, jobs will lost, and investors will be hopping mad. Wishing for something to be true, even for a long time, doesn't make it so. arstechnica.com/cars/2021/04/w…
arstechnica.com
Waymo CEO John Krafcik steps down
Waymo ordered “up to” 82,000 vehicles in 2018. Today, it has “well over 600.”…
Interesting.
The difference between the U.S. and other nations is absurd. Posting this graph in case some haven’t seen it before.
Hello, world! Similar to @timnitGebru, I abruptly lost access to my professional calendar. Any upcoming talks, deadlines, and entities involved, are no longer accessible to me. I am sending this broad, mass message, asking anyone expecting something from me to please let me know!
~8yrs ago (Dec’12) I got a job @Google. Those were still early days of cloud. I joined GCP @<150M ARR & left @~4B (excld GSuite). Learned from some of the smartest ppl in tech. But we also got a LOT wrong that took yrs to fix. Much of it now public, but here’s my ring-side view👇
Seriously @GoogleAI using @PyTorch from @huggingface . Nothing to say .
What tools do you use for Kubernetes CI/CD?
Suppose you wanted to train a world-class GPT model, just like OpenAI. How? You have no data. Now you do. Now everyone does. Presenting "books3", aka "all of bibliotik" - 196,640 books - in plain .txt - reliable, direct download, for years: the-eye.eu/public/AI/pile… thread 👇
Congrats to these scientists. Great that it’s coming from India and not the US. bbc.com/news/world-asi…
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale When pre-trained and transferred to CV tasks, Vision Transformer attains excellent results compared to SOTA CNNs while requiring much fewer computational resources to train. openreview.net/forum?id=YicbF…
Shock of shocks! Donald Trump, the self-proclaimed billionaire, received a $72.9 million tax refund from the IRS while not paying a nickel in federal income taxes in 10 out of 15 years. Yep. Trump l-o-v-e-s corporate socialism for himself, rugged capitalism for everyone else.
Federal taxes paid, first year in office Ronald Reagan: $165,202 George H.W. Bush: $101,382 Bill Clinton: $62,670 George W. Bush: $250,221 Barack Obama: $1,792,414 Donald Trump: $750
1/ Look at the shape of these curves. New York and Madrid had similar epidemics until they spectacularly diverged. In March, both cities were caught by surprise and shut down because of #COVID19. In September, the situation is under control in NY and alarming in Madrid. Why?
A Google engineer on Google's location tracking settings:" Speaking as a user, WTF? More specifically I **thought** I had location tracking turned off on my phone." businessinsider.com/google-enginee…
Je vois beaucoup de monde, un peu partout, a la télé ou à la radio, oublier ce que la covid a engendré pendant ce qu'on a appelé la vague. Alors j'aimerais parler de ce qu'on a pu voir en service. Quand la vague est arrivée, je bossais comme IDE en réanimation.
Today was supposed to by my beer + JAX exploration day. It got off to a good start, flax, haiku... looking familiar. GPU working (eventually). Then I found out all the examples I was hoping to fiddle with used TensorFlow datasets and I wept. Sigh.
Generative Latent Textured Objects - GeLaTOs! - are a new approach for rendering objects with complex geometry and appearance using simple proxies, neural textures, and U-nets! gelato-paper.github.io (1/6)
Unpopular view: Data scientists should be more end-to-end. While this is frowned upon (too generalist!), I've seen it lead to more context, faster iteration, greater innovation—more value, faster. More details and Stitch Fix & Netflix's experience 👇 eugeneyan.com/writing/end-to…
Amazing
Happy to share EfficientDet-D7x: new SOTA 55.1 COCO AP at 153ms latency (10x faster than other multi-scale models). TF2+keras supported! Arxiv: arxiv.org/abs/1911.09070 github: bit.ly/307N6GG paperwithcode: bit.ly/2Esz89U
📢 Code release: a new toolbox for visual localization github.com/cvg/Hierarchic… ➡️ try out SuperGlue for localization - CVPR'20 winner ➡️ run it with SfM on your own dataset within minutes ➡️ evaluate your local features/retrieval ➡️ take part in ECCV'20 challenges: 3 weeks to go!
What are y'alls favorite recommendations for intro devops materials?
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