MichaelRazum

9 ms·

61.
by MichaelRazum 3y ago
How about chlorella powder? That is what Bryan Johnson uses.
62.
by MichaelRazum 3y ago
I think this is a bad argument. It's like saying only because someone clever choose path A it is wrong to choose path B.
63.
by MichaelRazum 3y ago
Crazy. So if meta can't figure that out. How about a small start up that wants to act world wide?
64.
by MichaelRazum 3y ago
Do you guys know some good companies that offer interesting remote ML jobs? The package is competitive for sure. I don't care that much about the pay, more about interesting stuff.
65.
by MichaelRazum 3y ago
Hard to tell but that sounds a bit like a test problem. If you have high test coverage (which you must do in a language like python) most bugs should only result through complex interaction.
66.
by MichaelRazum 3y ago
simple, the price is to high. Germany might be "Weltmeister" with one of the highest energy prices...
67.
by MichaelRazum 3y ago
What exactly are your problem's? It is hard to give advice without knowing. To be honest I don't think it makes things easier if you switch to Go, since less verbose.
68.
by MichaelRazum 3y ago
So what would you do if you want to use it in production? I mean is it worthless? To be honest not sure of what to think about it.
69.
by MichaelRazum 3y ago
Depends what you are doing and how much code. Especially if you work with new frameworks or apis ChatGPT is extremly helpful. I think especially on small code snippets it is strong. Guess you would have to give an example, what you tried an
70.
by MichaelRazum 3y ago
Vicuna looks pretty good. But as said, commercial use not possible. Why do you think that Llama can be replaced? I mean it is extremely costly to train that thing. And it is there even a clean open source data set for the task? PS: wouldn&#
71.
by MichaelRazum 3y ago
If you could comment. Is it true that "classic" quantum field theory can't describe chaos, because the operators are linear?
72.
by MichaelRazum 3y ago
Guess no. That is the trick right? Let's see what people build. If it is good copycat it. If you build something very cool that makes money, be ready being sued by meta... PS: Not an expert just speculating.
73.
by MichaelRazum 3y ago
Thanks a lot for sharing. I liked the explanation, although it seems to be not a perfect matching between attention and kernel (as far as I understand). Since as I undestand x_o = Qx and x_i = Qx and y_i = Vx but it doesn't map to Wu d
74.
by MichaelRazum 3y ago
I think, the models (especially transformers) are kind of straight forward. But the most difficult part is: - intuition behind them, why they work at all. What a good parameter set is - how to check if training goes well - what to do when t
75.
by MichaelRazum 3y ago
So can we train now 10t or 100t LLM models? I mean assuming that the dataset is large enough
76.
by MichaelRazum 3y ago
I don't buy it. It is so expensive to train LLM, so that the only hope is to rely on Foundation Models that are open sources by google, msft or facebook.
77.
by MichaelRazum 3y ago
Facebook is far from done or broke. Especially now where we have the hype and progress around chatgpt. They are in an excellent position regarding that tech. *if they can execute
78.
by MichaelRazum 3y ago
Life Insurance core code (ANSI C). So contracts closed now have to work for 60 years or more.
79.
by MichaelRazum 3y ago
It sounds like it is trivial to replicate GPT-4 performance. I Would be surprised if that is the case.
80.
by MichaelRazum 3y ago
Agree, somewhere it was mentioned that you get kind of a bond or limited time equity.
81.
by MichaelRazum 3y ago
How do this kind of models know when to stop? Does anyone has an idea.
82.
by MichaelRazum 4y ago
Not an expert but intuitively, let's say in classical stat's. If you add parameters the danger of overfit increases. So it is far from obvious (at least to me) why it works at all and why bigger is obviously better.
83.
by MichaelRazum 4y ago
I asked gpt4 to think through it step by step and then to recheck the answer. At least it got 1/x right. So now kind of impressed.
84.
by MichaelRazum 4y ago
"math genius" not sure about it. I gave it a problem from IMO 2022. In my opinion not a very hard one. It failed even if you give it some hints. Let R+ denote the set of positive real numbers. Find all functions f : R+ → R+ such t
85.
by MichaelRazum 4y ago
Is it really that hard? I mean ChatGpt is doing the work (that is how I undestand it). Basically if ChatGpt want's to call an external API, it just gives a specific command and waits for the result, then just simply reads the texts and
86.
by MichaelRazum 4y ago
The question is how fast can you replicate it? People will use the best solution. Chrome came after firefox and ie and opera and become more populare because it was better.
87.
by MichaelRazum 4y ago
wow
88.
by MichaelRazum 4y ago
Google=Nokia? It's just crazy that they were leading the field in "AI" and got blown away by OpenAI. Anyway to the expert's in the field, what do you think how hard is it to clone GPT-4 and what would be the hardest part
89.
by MichaelRazum 4y ago
I mean the dynamics is driven by a linear operator. But you can observe objects that can't be described this way. I think Hossenfelder described it in the video the problematic in Chaos: The real problem with quantum mechanics
90.
by MichaelRazum 4y ago
For the experts here. As far as I know Quantum Theory is described by a linear differential equation. How can it describe observed non linearity? The point was made by Sabine Hossenfelder

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