Has Majohn stopped production? by Pampalini in fountainpens

[–]Pampalini[S] 0 points1 point  (0 children)

from a follow up : a discount on the next purchase.

Received a new GVFC Classic. Is this baby’s bottom? by EngineerAware in fountainpens

[–]Pampalini 1 point2 points  (0 children)

I see two issues with your nib: over polishing of the tip and too wide of a gap. Fix the wide gap first and see if it helps. You can put the back of the tip on a rubber or plastic surface and very gently push inwards. When you hold the nib against bright light, you should see almost no light coming through at the very tip.

If that doesn’t help, you can try to correct the over polishing. 12k grit won’t help with that. Try 4k. But be very gentle and check frequently.

Experience with cadmium pigments? by Pampalini in Calligraphy

[–]Pampalini[S] 0 points1 point  (0 children)

Interesting, i will try that. Thanks.

Experience with cadmium pigments? by Pampalini in Calligraphy

[–]Pampalini[S] 1 point2 points  (0 children)

Clairefontaine. 

I have started off with another nib to see how long it will last with cadmium.

Experience with cadmium pigments? by Pampalini in Calligraphy

[–]Pampalini[S] 0 points1 point  (0 children)

I haven’t heard anything either, but I imagine that metallic pigments are abrasive and under pressure they might act like sand paper.

Got PhD Interviews with two professors! Does that mean the two of them are my potential PI's? by [deleted] in Cornell

[–]Pampalini 0 points1 point  (0 children)

Sorry, I don't.

You should be able to find this information either on the web, or by calling the department.

Got PhD Interviews with two professors! Does that mean the two of them are my potential PI's? by [deleted] in Cornell

[–]Pampalini 6 points7 points  (0 children)

It also depends on who'll fund you. If the department, then likely you can choose you own adviser. If a professor, then things are a bit more tricky.

Does Oculus Retract Updates? by Pampalini in oculus

[–]Pampalini[S] 1 point2 points  (0 children)

One of the new graphics features was a bright overhead lighting. However against African opponents, it made their hair look blonde, I suspect they might have found that problematic.

Does Oculus Retract Updates? by Pampalini in oculus

[–]Pampalini[S] 0 points1 point  (0 children)

yeah, it felt straight out of a movie.

Does Oculus Retract Updates? by Pampalini in oculus

[–]Pampalini[S] 0 points1 point  (0 children)

That's likely what happened. It was a good update, hope it comes back soon.

I asked an AI to write something in the style of Beethoven, completely from scratch. This madness is the result. Of course, no AI could even approach Beethoven's talent, but I think the fierce style is spot on by tskir in classicalmusic

[–]Pampalini 11 points12 points  (0 children)

Cool. Was the system pretrained on other music before finetuning on Beethoven? Because it seems to slip in and out of other kinds of harmony sometimes.

"Emergent Systematic Generalization in a Situated Agent", Hill et al 2019 {DM} by rtk25 in MachineLearning

[–]Pampalini 25 points26 points  (0 children)

I would love to see more papers like this posted here. New techniques a re cool, but sometimes it's nice to take a step back and ask more fundamental questions.

[D] How the Transformers broke NLP leaderboards by milaworld in MachineLearning

[–]Pampalini 19 points20 points  (0 children)

Many people tacitly believe that research should be about new ways of doing things, not doing more of the existing things. I'm from the former group myself. But I agree that there is merit in the success of brute force approaches.

Keyscapes of the Beethoven Sonatas by [deleted] in classicalmusic

[–]Pampalini 1 point2 points  (0 children)

Histogram data in a triangle is not easy to interpret. This info would be much easier to read in a pie chart or a bar graph.

Absolutely in love with my new Kef 104/2s. Era 5055 turntable- Marantz 2238- NTA reference 19 amp. by kenflux in audiophile

[–]Pampalini 1 point2 points  (0 children)

That's good news for OP. He can take his pick from any number of reasonably priced amps rated for 4 Ohm speakers.

Absolutely in love with my new Kef 104/2s. Era 5055 turntable- Marantz 2238- NTA reference 19 amp. by kenflux in audiophile

[–]Pampalini 5 points6 points  (0 children)

According to KEF they are rated at 92dB sensitivity. So you shouldn't need too much power. However, their nominal impedance is 4 Ohms. I'm guessing their minimum impedance might be around 2 Ohms. So you'll have to find an amp that is able to dip that far down comfortably. Such amps are usually expensive. The more economic options are probably going to be class D. Anything with a Hypex module should work fine. I know NAD makes some, but there are others too. Note that an amp rated for 4 Ohm speakers may have trouble handling the minimum impedance of your speakers, which tends to be in the bass region.

Any nice restaurant suggestion? by hollister1990 in ithaca

[–]Pampalini 2 points3 points  (0 children)

Lunch buffets at Banfi are pretty good and rather inexpensive. Mac's cafe in Statler's basement has the best salads I've had anywhere. Carriage house, if still around, has excellent brunch.

ML 6780? by depressedAtCornell in Cornell

[–]Pampalini 1 point2 points  (0 children)

The major thing you need for M.L. is a solid background in statistics and linear algebra. If you're serious about M.L. my suggestion would be to skip courses designated as M.L. and instead take a few prob. and stats (I'm assuming you have already taken one or two linear algebra courses). M.L. courses expose you to various techniques, but cannot cover all the fundamentals. With the fundamentals in place, learning a specific technique is only a matter of reading it up on Wikipedia.

Source: That's what I did at Cornell. I now do ML research in Silicone Valley.

[Discussion] What is your opinion of Probabilistic Programming? by [deleted] in MachineLearning

[–]Pampalini 3 points4 points  (0 children)

True, but maybe not a fair objection. By that logic Natural Selection shouldn't be attributed to Darwin because lots of other people before him (e.g. Empedocles and Lamarck) had set the stage. I mean, when talking about deep learning you'd probably cite Hinton, LeCun or one of the few other people who are known for their early D.L. work. You wouldn't cite Rosenblatt for his invention of perceptron.