Looking at the top comment about Google right now. Big difference between "their products/processes suck" vs. "these people and their companies and government are an insidious evil".
Ah, the ol' gaslighting you into thinking you're gaslighting me trick.
I always wonder who these weirdos are that look at commenters' past comments to try and deduce some fact and "win" their argument. More common on Reddit, but still exists here. Basement dweller-level weird either way.
"226 karma in 10 years." - What does that even mean to you? Should I be posting more? Does my behavior not align with your list accepted human behaviors for a non-Chinese?
The ridiculousness of your post shows how far the anti-China bias goes with you people.
> There's a search bar at the bottom of the page.
The dishonesty here is coming from you. You're assuming something exists. I'm saying show me. If it's so easy to find, wouldn't it be way easier to simply put this definitive proof in my face instead of this weird roundabout argument you're trying to make?
There is clearly an anti-China bias here. Show me comments demonstrating the same level of distrust against Google for open-sourcing projects like Tensorflow, Kubernetes, Flutter, Chromium, etc.
How legit is this? In my experience, every time I've updated iOS due to some urgent "security issue", the result was my phone just got a whole lot slower.
I didn't realize these archive links were still working. Ever since the FBI order in November, these links have just been hanging for me. https://downforeveryoneorjustme.com/ had been saying it was down so I just thought it actually was down for everyone, but I continue to see these links posted. Is the site still working for some people?
On the contrary, I'm confused about why you're confused.
This is a well-known and documented phenomenon - the paradox of choice.
I've been working in machine learning and AI for nearly 20 years and the number of options out there is overwhelming.
I've found many of the tools out there do some things I want, but not others, so even finding the model or platform that does exactly what I want or does it the best is a time-consuming process.
Not just lately. See /r/politics. Sometime in the last 5-7 years /r/science or /r/technology (or both, I forget because I stopped reading) basically became the science/tech versions of /r/politics.
This is interesting because it shows us how a programmer thinks of a problem vs. how a psychologist or neuroscientist would think of this problem and highlights the lack of "human-ness" in programmer thinking.
I'm no fan of schools forcing STEM students to study boring electives but this is a prime example of why that might be useful.
The entire premise of the post is wrong - average pixel value has nothing to do with how orange the oranges look - it's all about perception.
I haven't installed this yet, but does it require camera access? i.e. does it "transform" your own image to the target image while maintaining facial expression, pose, etc.? Based on the animations, I'd assume it doesn't use the camera since there are techniques that can lipsync from audio.
Great course. I highly recommended anyone interested in this topic to check it out on the MIT website, taught by the same authors. They are great lecturers.
After spending over a decade in both statistics and machine learning I'd say the only reason there isn't a "broad consensus" is because statisticians like to gate-keep, whether that's linear regression, Monte Carlo methods, or Kalman Filters.
Linear regression appears in pretty much every ML textbook. Can you confidently say, "this model that appears in every ML textbook is the only model in the ML textbook that isn't an ML model"?
Kalman Filters are like a continuous-state HMM. So why are HMMs considered ML and Kalman Filters not considered ML?
IMO it's an ego thing. They spent decades rigorously analyzing everything about linear models and here come these CS cowboys producing amazing results without any of the careful rigor that statisticians normally apply. It's difficult to argue against real results so the inflexible, hard-nosed statisticians just hang on to whatever they can.
Is anyone having trouble downloading their data? Some data, such as "Raw Data", "Imputed Genotype Data R6", and "Phased Genotype Data" need to be requested, but I haven't heard back from them yet.
Would like to download everything first before requesting deletion.
