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ericand
searching PlanetScale…
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61.
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by
ericand
9y ago
I'll add that in the case of Kubernetes, this is mostly Kubernetes setting the standard/pattern for graduation for other projects. I would ask less, what does this mean for Kubernetes (as the answer is nothing) and more, what exam
62.
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by
ericand
9y ago
This approach may be a derivative of the Apache Incubator. If so, the purpose may be to provide an incentive for project committees to conform to the governance model of the foundation. Projects are started in incubating, or pre-graduation
63.
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by
ericand
9y ago
Great post. Could you describe further what you mean by data pipelining? Is this something that you could also use Spark, Kafka for? I'd be interested to know if Kubernetes would work for me as well.
64.
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by
ericand
9y ago
"Therefore, except for the lost data on exact types of Objective-C objects in arguments, it’s possible to get the complete reconstruction of an interface." That's more than I expected. Great work!
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by
ericand
9y ago
It says it runs in "in any environment in which Kubernetes runs." So as long as you are asking if it runs on Openshift's Kubernetes, than yes.
66.
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by
ericand
9y ago
Looks like different components could be added in the future, but not clear how. The following are included: - A JupyterHub to create & manage interactive Jupyter notebooks. - A Tensorflow Training Controller that can be configured to u
67.
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by
ericand
9y ago
Well said. For example, with the hardware improvements of late (GPUs, TPUs, etc.), we are seeing lots of low hanging fruit as we haven't pushed in this direction before, but I imagine this diminishes soon.
68.
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by
ericand
9y ago
This is interesting. Good time to be a researcher!
69.
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ericand
9y ago
Good point. I tend to subscribe to Kuhn's Structure of Scientific Revolutions [0] which I think suggests that a paradigm shift comes as collective observations mount and it is eventually exhibited through a genius on the cutting edge.
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by
ericand
9y ago
"It’s probably going to happen sooner than most people think. Hardware is improving at an exponential rate—the most surprising thing I’ve learned working on OpenAI is just how correlated increasing computing power and AI breakthroughs
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by
ericand
9y ago
Or as Warren Buffett put it: "...be fearful when others are greedy and... be greedy only when others are fearful" https://www.investopedia.com/university/warren-buffett-biogr...
72.
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by
ericand
9y ago
The wise words at the end: You can tell where there is too much money and too little money by looking at valuations. When valuations are extended, that means there is too much money. That was seed in 2014, growth in 2015/2016, and ICOs
73.
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by
ericand
9y ago
Despite all these the stock market is doing relatively well. In fact, the potential tax cut and Trump administration have lifted stocks. There are always a few concerns out there but I think most investors are feeling okay about political e
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by
ericand
9y ago
This article was eye opening for me. "For [Russians], it is maddening to watch the news organisations they so admire building Mr Putin into an all-powerful Bond villain, thereby elevating his stature... The aim of Mr Navalny’s campaign
75.
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by
ericand
9y ago
Take a look at Cloud Firestore. The author talks a lot about scalability but Google recently posted [0] that Cloud Firestore is similar to Firebase Realtime DB and more scalable. [0] https://firebase.google.com/docs/dat
76.
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by
ericand
9y ago
I'm with you. I find these examples distracting if not annoying.
77.
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by
ericand
9y ago
Quite a situation. Mozilla has basically one paying "customer" and it can only be one of two search engines. The concern here would be if they burn bridges with Yahoo, than they have less negotiating leverage with Google. I forget
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by
ericand
9y ago
Two things to note: 1) Alpha Zero beats AlphaGo Zero and AlphaGo Lee and starts tabla rasa 2) "Shogi is a significantly harder game, in terms of computational complexity, than chess (2, 14): it is played on a larger board, and any capt
79.
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by
ericand
9y ago
Certainly a significant achievement. Also, kind of interesting that the AlphaGo team spent a lot of energy to convince us Go is much harder than Chess, only to turn around and tell us that it is amazing that it can also win at Chess.
80.
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by
ericand
9y ago
tl;dr: Portugal decriminalized drug-use and others are reluctant to do so. If you want a summary... Portugal overcame an opioid epidemic through an "enormous cultural shift, and a change in how the country viewed drugs, addiction – and
81.
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by
ericand
9y ago
"He guessed that the problem might take him a few weeks. Instead, it took him five years" Perhaps the key to their success was typically programming work estimations ;) More seriously, I think that if you think something is easy f
82.
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ericand
9y ago
Can we advance some kind of peace treaty? Google's philosophy is to "put users first and the rest will follow" [0] Amazon wants to be the world's most customer centric company. [1] - [0] https://www.safaribook
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ericand
9y ago
For reference, this is part 2 of a two part series. Here is part 1: https://www.cockroachlabs.com/blog/tunable-controls-for-late...
84.
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ericand
9y ago
This explanation from a Google blogpost helped me: The API mimics the structure of TensorFlow and NumPy, with a delayed execution model for training (like TensorFlow), and an immediate execution model for inference (like NumPy). We have als
85.
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ericand
9y ago
If you are looking for it (like I was), here's a direct link to the deeplearn.js project: https://deeplearnjs.org/
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ericand
9y ago
I like the idea that universities can take money from corporations and not feel as though they have to bend their work to support their funder's business models. Kudos to Google and the University of Maryland here.
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After Lambda: Exactly-Once Processing at Google Part 2: Ensuring Low Latency
(cloud.google.com)
2 points
by
ericand
9y ago
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0 comments
88.
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by
ericand
10y ago
Here's the Google perspective: https://cloud.google.com/blog/big-data/2016/05/why-apache-be...
89.
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by
ericand
10y ago
Data artisan's take: http://data-artisans.com/why-apache-beam/
90.
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by
ericand
10y ago
Google's take: https://cloud.google.com/blog/big-data/2016/05/why-apache-be... Data Artisan's take: http://data-artisans.com/why-apache-beam/
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