rjdagost

9 ms·

1.
by rjdagost 2y ago
Meta has spent massive sums of money to train these models and they've released the models to the public. You can fine-tune the models. You can see the source code and the architecture of the model. The EULA is commercially-friendly
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by rjdagost 3y ago
SAAB was financially failing when GM bought them. It's tough to blame GM for trying to impose financial discipline on a money-bleeding operation.
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by rjdagost 3y ago
Then there's the question of how the electric grid will sustain this significant new increase in demand. As with mandates banning gas cars, the grid supply and stability is always regarded as a mere detail to be sorted out later.
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by rjdagost 4y ago
Slack is great in small doses, but a complete time-waster beyond a certain threshold. I don't have ADHD, but I still have had problems with Slack. Don't feel bad about shutting all notifications off, or, better yet, closing the
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by rjdagost 4y ago
I have worked in both semiconductor manufacturing and drug discovery industries. Reliably and profitably producing 5 nm chips is an extreme engineering challenge, but- it is an engineering challenge. Drug discovery is a question of scienc
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by rjdagost 4y ago
If there's one thing I learned with biomedical data modeling and machine learning, it's that "it's complicated". For biomedical scenarios, getting more data is often not simple at all. This is especially the case
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by rjdagost 4y ago
One of the big differences between the US and Europe in this regard is the much larger proportion of bicyclists in Europe. In Europe, the larger number of bicyclists trains you as a driver to always be on the lookout for them. Driving pas
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by rjdagost 4y ago
With this kind of uncertainty, is it any wonder that many people don't trust medical science when we are told to behave in a certain way, or when we are told to take a certain medical treatment? How many years have we been told that sa
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by rjdagost 4y ago
There is PhD level math involved. And yet, ML (deep learning in particular) is much more of an empirical endeavor than many would like to admit. A deep understanding of the underlying mathematics does not necessarily give you a better mod
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by rjdagost 4y ago
Calling YOLOv5 a "fraud" is a bit harsh. It has many excellent aspects for practitioners: easy to use, fast inference time, scalable model architecture, and it has many helpful utilities built-in for model deployment. In my expe
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by rjdagost 4y ago
Welcome to computer vision / machine learning research!
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by rjdagost 4y ago
What I'm hearing you say, loud and clear, is that you no longer have a sense of a purpose in life. Drugs (legal or otherwise) will not fill that void for you. I do not believe that you can rekindle a sense of purpose just by thinking
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by rjdagost 6y ago
I share your frustration. If you're trying to be realistic and straight-forward about the limitations of AI/ML, you're getting little interest from investors. Here's an anecdote. I was at an "AI in drug discovery
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by rjdagost 6y ago
Your suspicion is largely correct, in my experience. I've worked as a consultant on a number of different AI / ML projects for start-ups. Most aren't doing anything all that new or groundbreaking from an ML point of view.
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by rjdagost 6y ago
If there's one thing I've learned from the dotcom crash and the 2008 collapse, it's this: when the crap hits the fan, cash is king. Start-ups without profitable business models are extremely vulnerable. All of the pitches a
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by rjdagost 7y ago
As a computer vision practitioner, I would argue that SIFT is still very relevant today. In most real-world scenarios it seems to hold up as well or better than the deep learning approaches I've tried, and it is easier to implement an
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by rjdagost 7y ago
You're trying to act like everything is A-OK with this project, when it has in reality been a huge waste of public money. First, there has already been a large corruption scandal centered on this project, with people in prison because
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by rjdagost 7y ago
The history of the Buffalo "gigafactory" is rather sordid... In a nutshell, Tesla and its subsidiaries made large employment and economic growth promises to the state of NY in exchange for massive subsidies (almost $1B total). T
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by rjdagost 7y ago
This is what a speculative bubble looks like. Enjoy popcorn on the sidelines until people start pricing in financial reality. Manias sometimes take a while to fizzle out. Year over year revenue growth is actually flat to slightly negativ
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by rjdagost 7y ago
I have found PyCharm to offer a good trade-off between data exploration and productionizing your code. It has the best Python debugger that I've used. You can also run Jupyter notebooks in PyCharm when that makes sense for you.
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by rjdagost 7y ago
There's a reason why almost everyone pursuing autonomous driving uses lidar despite the high costs. It's because lidar has extremely good "recall" and "precision" in most driving conditions. In other words, i
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by rjdagost 7y ago
Did you ever read about the obsessive determination with which Harry Markopolos worked to expose Bernie Madoff? He had a visceral obsession with Madoff, working for almost a decade to expose Madoff's scam. John Carreyrou likewise had
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by rjdagost 7y ago
I have to totally disagree with this statement: > There are of course some people who are genuine frauds. How can you distinguish between x calling y a fraud because x is a hater, and because y is a fraud? Look at neutral opinion. Actual
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by rjdagost 7y ago
That's right, the Aztek had a built-in pop-up tent for tailgating. Good memory!
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by rjdagost 7y ago
I've been waiting for years for something uglier than the Aztek. We have a new champion.
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by rjdagost 7y ago
To my knowledge, all he has ever said on the subject is: "I think people would be quite surprised if they knew how simple our methods are". You probably won't ever hear more information than that, until their strategies stop
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by rjdagost 7y ago
What's your evidence that electric vehicle are more reliable than non-electrics? EV advocates make this claim quite frequently, yet I've never seen any evidence to support it. In the case of Tesla, their EVs are actually much le
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by rjdagost 7y ago
You are correct- probability of success is (in my opinion) the single most important factor when evaluating options. Even if on average employees did well with stock options, the fact of the matter is that the distribution of payouts is ve
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by rjdagost 7y ago
In fairness, Elon Musk himself has stated that Tesla has been several weeks from failure at multiple times in its history (most recently, in the fall of 2018). It's not like the critics were wrong about the financial health of the com
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by rjdagost 7y ago
I hear people say things like this about Tesla, but I am really skeptical. The company is still highly unprofitable despite having scaled production up significantly. It survives because of investor capital. That kind of strategy runs ou

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