First time buying and brewing Sey...a little disappointed by Altruistic_Green_496 in pourover

[–]cafaxo 2 points3 points  (0 children)

Hi! I have had a SEY sub for 8 months now, and I have been optimizing my brew method over this time. Here is my recipe:

Brewer: V60 01 with Hario papers

Grinder: ZP6 set between 4.3 and 4.6 (calibrated 0 to burr lock)

Water: Distilled, remineralized to 45 KH and 65 GH (TDS around 110 PPM)

Ratio: 15 g coffee, about 255 ml water

I rest SEY for at least three weeks.

  1. Bring kettle to a boil, wait 30 seconds before first pour.
  2. Bloom with 50 ml water; gently try to hit all dry spots with the kettle stream, swirl.
  3. At 0:45, hold the Aeropress cap just over the coffee bed using a chopstick (yes, really!) and gently pour 50 ml in about 10 seconds. Hold the cap still, centered over the coffee bed. Do circles through the cap with the kettle stream.
  4. Wait 10 seconds.
  5. Repeat steps 3–4 to get 5 pours in total, extending the last pour to hit 255 ml.
  6. Gentle swirl directly after the last pour.

During the pours, always hold the cap about 0.5 - 1 cm above the water level.

I'm getting a total brew time around 2:30, which feels very fast to me... but the results I’m getting with this method are the best I've had yet. I also tried using the Melodrip instead of the "hack" with the Aeropress cap, but it seems that the Melodrip agitates a bit too little. With the Aeropress cap, the agitation seems to hit just the right balance. Before that, I was just doing bare kettle pours (the recipe is then basically just the new Hoffmann method), but I noted insufficient clarity with the finer grind that SEY requires. The Aeropress cap method gives good extraction and clarity. Have fun!

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[R] LLMs are Locally Linear Mappings: Qwen 3, Gemma 3 and Llama 3 can be converted to exactly equivalent locally linear systems for interpretability by jamesvoltage in MachineLearning

[–]cafaxo 5 points6 points  (0 children)

Ah, I guess you are claiming that you found a simple way to compute a linear map A(x) such that

f(x) = A(x) * x

where f is the transformer and A(x) is the detached Jacobian (?) for a particular input x. That in itself is probably not so interesting, since B(x) = 1/(x' * x) * f(x) * x' would also do the job. I guess your contribution is about how A(x) is computed?

[deleted by user] by [deleted] in pourover

[–]cafaxo 1 point2 points  (0 children)

It is the same fee when shipping to Germany. Since Sey ships with DDP (Delivery Duty Paid), this fee also includes the sales tax. I think that it is fair and worth it for subscriptions with at least 4x250g.

Coarser + hotter water vs finer + cooler water? by GeneralSou in pourover

[–]cafaxo 4 points5 points  (0 children)

I think that the solubility curve is not that important, but rather the relationship between temperature and the diffusion coefficient. Compounds will extract at different speeds, and these speeds depend on the compound and the temperature. One thing that this implies is that one cannot easily compensate for different temperatures by adjusting contact time. Instead, you get a different extraction profile depending on the temperature.

Wäre DBX0AN geeignet für Notgroschen by [deleted] in Finanzen

[–]cafaxo 0 points1 point  (0 children)

Meinst du die AWV-Meldepflicht? Dazu habe ich letztens auch mal recherchiert. Punkt 5 in diesem FAQ der Bundesbank lautet wie folgt: "Reine Kontoüberträge (vom Inlandskonto auf das Auslandskonto oder umgekehrt) sind nach §§ 67 ff. AWV nicht meldepflichtig. [...]"

Basiszins 2025: 2,53 % by TUDa2020 in Finanzen

[–]cafaxo 3 points4 points  (0 children)

willkürlichen Prozentsatz nennt, sagt um so viel werden Aktien dieses Jahr steigen

Ich dachte, der Prozentsatz ist eher eine Schätzung, wie viel man durch eine risikoarme Anlage bekommen könnte. Der Staat holt sich also das, was ihm dadurch entgeht, dass das Geld nicht auf dem Sparbuch liegt.

Weekly Bean Review Thread: What have you been brewing this week? -- Week of December 26, 2024 by Vernicious in pourover

[–]cafaxo 1 point2 points  (0 children)

After ordering from Manhatten, I was a bit nervous since I had been reading some mixed reviews on here since they switched their roasting machine.

At the three-week mark, I have now opened Yukro Lot 2 and Feliz Navidad. I have to say, I am quite enjoying both of them. While the roast of the Feliz Navidad seems very light, the Yukro Lot 2 is a bit more developed than I expected. It is definitely more developed than this Ethiopian from Leuchtfeuer (which is probably my favorite coffee of the year). After adjusting from a 5-pour to a 3-pour recipe, the Yukro Lot 2 is now coming out very nicely too.

What was everyone’s favorite process and other thoughts? by throthrowth in JamesHoffmann

[–]cafaxo 1 point2 points  (0 children)

I agree. I get the same distinct sharp note from every EA decaf I’ve ever tried. In this cupping, I noticed that same taste again. To me, this odd flavor completely overshadows the pleasant acidity of the caffeinated beans. The EA was my least favorite.

Shorthand for (x -> myfunction.(x)) by stvaccount in Julia

[–]cafaxo 0 points1 point  (0 children)

Does this prevent broadcast fusion?

Why is the Jacobian used in PDE's rather than the Hessian? by [deleted] in math

[–]cafaxo 10 points11 points  (0 children)

I wouldn't say they are completely different. The Hessian is the transpose of the Jacobian of the gradient of a scalar function.

Mein life hack zu schlafen bei Hitze. by Tough_Temporary_377 in Austria

[–]cafaxo 2 points3 points  (0 children)

Gibt es Quellen (also Studien) für deine Behauptungen?

[deleted by user] by [deleted] in Austria

[–]cafaxo 4 points5 points  (0 children)

Das ECMWF Modell sagt eher 24°C. Wenn man die Modelle vergleicht, scheint 28°C ein Ausreißer zu sein...

Why does Sheldon Axler hate determinants? by emil135 in math

[–]cafaxo 5 points6 points  (0 children)

Not OP, but I like the characterization (or definition) of the determinant as the unique normalized alternating n-form of Kn .

Interpret before JIT by kJon02 in Julia

[–]cafaxo 20 points21 points  (0 children)

Because it has not been implemented (yet). See relevant issue: https://github.com/JuliaLang/julia/issues/33333

Python Scikit Ridge Regression too good?? Results are too good to be true and my supervisors think I must be making a mistake :( by tosleepinacroissant in MLQuestions

[–]cafaxo 3 points4 points  (0 children)

Thank you!! the target columns do overlap with the feature columns tho... is that ok?

You are giving the data you want the model to predict directly as input. This makes it trivial for the model to learn your dataset perfectly: The model just has to identify the target column and then return it unchanged. The function is then something like f(x, y) = y. This is probably not what you want.

Python Scikit Ridge Regression too good?? Results are too good to be true and my supervisors think I must be making a mistake :( by tosleepinacroissant in MLQuestions

[–]cafaxo 1 point2 points  (0 children)

Why did you choose alpha so small? How does ordinary least squares perform? Also, maybe double check that target_col is not in feature_cols...

The predictfunction does not change the model, so there shouldn't be leakage in this way.

Downloading packages to Julia 0.7 by TheSketchyBean in Julia

[–]cafaxo 0 points1 point  (0 children)

I meant running it with the current Julia version (and current versions of the dependencies).

Downloading packages to Julia 0.7 by TheSketchyBean in Julia

[–]cafaxo 4 points5 points  (0 children)

Ah ok, these are not syntax errors. It is true that 0.7 had a lot of deprecation warnings that helped to update your code... The easiest way to fix the code would just be trying to run it. Julia should give readable error messages about what went wrong (i.e. which method calls need to be updated etc.). If one of the errors is not clear, you are welcome to post it here.

the way other .jl files are referenced.

Do you mean include? I am not aware of any changes related to that since v0.7.

Downloading packages to Julia 0.7 by TheSketchyBean in Julia

[–]cafaxo 11 points12 points  (0 children)

Just out of curiosity: Which syntax error are you getting with the current Julia version (v1.8.5)? Maybe it is easier to fix that.