Looking at these values, it would probably work well for video processing, image processing, Apple Arcade, or gaming. Th

This is a nuanced topic. But I think it stems a lot from the first point I made in this article. It is a misalignment of target audience. As requested I had stopped using twitter, and I had stopped using my deployer account for deployments. However with LBI this did not seem to circumvent anything. I am still not sure how to proceed on this topic, I wish to develop, deploy, and share what I build with fellow developers so that we may collaborate and build more, I have stipulated that the deployments are for devs and researchers. I have added full disclaimers to even my deployments, but these still seem to fall short. I am torn how to proceed at this point.

EMN was an economic exploit, the code functioned as designed. The contracts went through my normal testing cycles and were at stage 5, on that day alone I had deployed ~2 different versions.

Comparing the results of 4 very popular CPUs, The Apple M1 outperforms all of them, even the i9 processor in the 16” Macbook Pro comfortably in the single-core score. It’s not until you get to the multi-core where you start to see others, especially the AMD processors, compete with the M1.

On the website, Apple does not claim any CPU speeds; however, a Geekbench listing posted on gadgets.ndtv.com is posting a base frequency of 3.2GHz which is higher than the base frequency of the Intel Core i9–9880H processor found in the 16” Macbook Pro.

But I do consider the conflict a human one, and not a technical one, I don’t foresee ETH disappearing, and I don’t foresee builders stopping, and I will continue to build. Some of it will be useful, some of it will end up failures. But I think there is more value in trying, even if it is a failure, than all the critics deeming it so.

This is a word that has been coming up a lot in my discussions. I accept I have been naïve on this point. EMN I attributed to certain social actors creating a story around it which caused rational actors to become involved. LBI showed me I was completely wrong. Logically I cannot conceive why people would engage with something they don’t understand, I am an actor that doesn’t skip the tutorial, because how else can I play the game correctly? I have however come to understand this is not true for a portion of defi. The open nature of these systems is a double edged sword. I have more thinking to do on this.

But I do consider the conflict a human one, and not a technical one, I don’t foresee ETH disappearing, and I don’t foresee builders stopping, and I will continue to build. Some of it will be useful, some of it will end up failures. But I think there is more value in trying, even if it is a failure, than all the critics deeming it so.

As for single-core score vs. the multi-core score, most data preprocessing libraries don’t take advantage of the multiple cores in the processor; therefore, the multi-core score does very little for data preprocessing. Having a better single-core score will do better in data preprocessing.

The integrated GPU is an 8-core GPU, which can execute 25,000 threads concurrently. Apple is claiming this is the “world’s fastest integrated graphics in a personal computer” at 2.6 TFLOPS (FP32) throughput. For sure this is impressive for an integrated GPU but we as data scientists are interested in overall performance.

I am grateful to have been part of something amazing that had occurred, but in no way did I create yearn. Consider how big the ecosystem has become, consider all the websites, tooling, newsletters, forum, discord, telegram, and active development on github. None of these are done by myself. I am a rapid prototyper and I will continue to be one.

The yearn team is far more skilled and capable than I am, and anyone that thinks yearn is dictated, led, or in anyway dependent on me, is doing yearn a disservice. I am happy to be a contributor to something much bigger.

People confuse price with functionality. LBI is a perfect example, people bought LBI off of uniswap, inflating the price, something that a rational actor that understood how the system worked should never have done, this caused a price decline, and this is seen as LBI being a “failed” project. It isn’t, I’m still actively working on it, and it will become the basis of a much bigger product that will be part of the yearn brand (if they wish to adopt it).

I plan to continue building. I see more things to build today than I did 3 months ago, but I cannot do these alone, I need fellow builders to collaborate, I need teams to help pick up ideas and turn them into full fledged products. While I doubt what happened with yearn, seeing an entire team form around it, will happen again, that is truly my wish.

Even when we launched YFI, I did not incentivize yswap, I found this system to still be too premature and didn’t want to expose users to the risk of providing liquidity to it. y tokens and y pool on the other hand have existed since March, and were well tested and proven. Even they went through multiple production cycles.

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http://live-stream.munich.es/rqh/Video-SD-Amorebieta-Sporting-Gijon-v-en-gb-1bsy-15.php

http://live07.colomboserboli.com/tie/videos-amorebieta-v-sporting-gijon-v-es-es-1dnt-1.php

http://live07.colomboserboli.com/tie/Video-Pontevedra-Cadiz-v-en-gb-1ebl30122020-.php

http://go.negronicocktailbar.com/jze/videos-Pontevedra-Cadiz-v-en-gb-1yqr-.php

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https://assifonte.org/media/hvc/video-amorebieta-v-sporting-gijon-v-es-es-1qxi-5.php

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http://news7.totssants.com/qds/video-Atromitos-Athens-PAOK-v-gr-gr-1ykn-6.php

http://streaming7.actiup.com/nez/v-ideos-pontevedra-v-cadiz-v-es-es-1mli-20.php

ion to plot the learning curve for our dataset. This function will generate 8 plots (each model algorithms) for test and training learning curve, samples vs fit time curve, and fit the time vs score curve. The function will receive these parameters: model estimator, the title for the chart, axes location for each model, ylim, cross-validation value, number of jobs that can be done in parallel, and train data size.