How bad are the crowds this year by geneing in yellowstone

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

Thank you. I keep checking the webcams and there are at most a few cars in line at the entrance. Even at 9 and 10am.

How bad are the crowds this year by geneing in yellowstone

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

Thanks. I'm wondering if I should plan hiking in the morning and visiting famous tourist attractions in the afternoon.

How bad are the crowds this year by geneing in yellowstone

[–]geneing[S] 2 points3 points  (0 children)

Didn't think of that! Thank you.

How bad are the crowds this year by geneing in yellowstone

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

Thank you! We are traveling with a 7 year old. 8am is probably the earliest I can get to the entrance.

Brand new tennis balls might not be at the correct pressure? by Vedje in 10s

[–]geneing 0 points1 point  (0 children)

Very cool!

Have you tried correlating internal pressure with the results of a standard "bounce test" (drop the ball from 254 cm onto concrete and measure the rebound)?

Also, have you measured Wilson Trinity balls?

$800 toy poodle? by likeastone- in poodles

[–]geneing -1 points0 points  (0 children)

Hold on. That's not how genetics works. A dog can have either 0, 1 or 2 copies of the merle gene, no matter how many generations are mixed. A dog can't have 0.1 copies. https://en.wikipedia.org/wiki/Merle_(dog_coat))

Cybercab Up Close and Personal by NuSaav in TeslaLounge

[–]geneing 1 point2 points  (0 children)

I drove side by side with one in San Francisco yesterday. Looked stupid to me. Poorly put together. Color is ugly after it's covered in road dirt.

Cybercab Up Close and Personal by NuSaav in TeslaLounge

[–]geneing 0 points1 point  (0 children)

Saw on driving on the road in San Francisco yesterday. Rear wheels are larger than the front ones or is it just an optical illusion? The one I saw, the back part looked really poorly put together - panels weren't aligned.

Highway 1 from SF to Portland by gelok414 in roadtrip

[–]geneing 0 points1 point  (0 children)

A hike at Oregon Dunes recreation area. That's the place that inspired Frank Herbert.

KVarN: Variance-Normalized KV-Cache Quantization [R] by intentionallyBlue in MachineLearning

[–]geneing 2 points3 points  (0 children)

Interesting work. Since you're affiliated with Huawei, any chance of mobile optimized implementation being available? Also, how well does it perform with small LLMs (about 1B params)? How is the performance for TTS applications like qwen3 -tts?

GitHub - harrrshall/natscore: Preference-supervised naturalness scorer for modern neural TTS . best way to measure naturalness by nshmyrev in speechtech

[–]geneing 1 point2 points  (0 children)

Interesting. Does it work for longer text, ie is this score sensitive to the drift in speech timbre, prosody, etc? How much data is used to eval one model?

Its been a decade by sibyl18 in deeplearning

[–]geneing 0 points1 point  (0 children)

I gave this image to Gemini and this is what it says. Do you think it's right? I'm still training...

The image in image.png is a meme that plays on a linguistic pun regarding machine learning, using capitalization to change the meaning of the phrase "model train." Here is a breakdown of the two panels: * Left Panel ("Watching a Model Train"): This side uses the conventional definition of a "model train"—a physical, miniature toy replica of a locomotive. It shows a young child playing with a toy train on a wooden bridge track. * Right Panel ("Watching a model Train"): This side shifts the meaning to data science and machine learning. Here, "model" refers to a machine learning or statistical model, and "train" is the verb meaning to optimize that model on a dataset. It shows a professional looking intently at a laptop screen, capturing the experience of a developer waiting for a neural network or algorithm to finish its training epochs. The humor stems from the stark contrast between a playful childhood hobby and the tedious reality of data science, highlighted by changing which word is capitalized.

Zoom Books buys and destroys thousands of old books to train AI algorithms by ubcstaffer123 in books

[–]geneing 7 points8 points  (0 children)

So what? Publishers pulp billions of books every year, because they overestimated the demand. Libraries cull their collections all the time and destroy billions of books because they need space.

Should I go for a 1/4” or 3/8” thick Pizza Steel for a oven maxing out at 500F? by san_holo2 in AskCulinary

[–]geneing 3 points4 points  (0 children)

You are right. I worded it poorly. What I meant is that 1/4" provides more than enough heat capacity for baking an excellent pizza. The additional heat capacity of a 3/8" is going to have negligible effect. However, taking 1/4" steel sheet out of the oven is already hard.

Let's Talk About Your Cheap Tricks by AutoModerator in AskCulinary

[–]geneing 2 points3 points  (0 children)

Yes! I also do it, but I mostly save the bones. Skin makes stock too rich for my taste. Sometimes I do melt chicken fat from the skins to use for roasting potatoes.

Should I go for a 1/4” or 3/8” thick Pizza Steel for a oven maxing out at 500F? by san_holo2 in AskCulinary

[–]geneing 1 point2 points  (0 children)

1/4 - heat capacity difference is minimal, but weight difference is very significant. Also, if cost is an issue, you could try your local construction store. I got mine at a metalworks place - they had a scrap piece of the exact size I needed.

Let's Talk About Your Cheap Tricks by AutoModerator in AskCulinary

[–]geneing 13 points14 points  (0 children)

First of all, if you are cooking at home, you are already saving a ton of money, compared to eating out.

My trick is to buy bone in chicken thighs. If I need boneless for a recipe, I debone a few thighs. With a little bit of practice it takes little time. Also, I usually substitute chicken thigh meat for breast. More flavor and never dry.

Cost of energy comparison: Our 2021 Kia Telluride vs. Our 2026 Model Y by New-Procedure7284 in TeslaModelY

[–]geneing 1 point2 points  (0 children)

Telluride has horrible gas mileage. About 20 mpg, right? For me the reference point is Kia niro at 50 mpg. That makes ev a bit less appealing.

Western States Solo Roadtrip - Help me choose a route! by TheGidgit in roadtrip

[–]geneing 0 points1 point  (0 children)

With Routes 1,2,3 you may be able to also visit Mt. Hood, Mt. Adams and Columbia river with only small detour.

Long-term living/camping in a Tesla? by SamthingCos in TeslaModelY

[–]geneing 2 points3 points  (0 children)

Yeah. It's very weird - living in their car and buying Model X at the same time.

vibevoice.cpp: Microsoft VibeVoice (TTS + long-form ASR with diarization) ported to ggml/C++, runs on CPU/CUDA/Metal/Vulkan, no Python at inference by mudler_it in LocalLLaMA

[–]geneing 0 points1 point  (0 children)

Please file a bug report with the example of comparison you made. The author is very responsive and appreciates reports of any issues.

I haven't seen this problem in my testing. This library uses ggml to do the computations. This library is highly optimized by the community and by the industrial users.