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Phys_org
feeds.twtxt.net
 (2y ago)

Experts warn ‘green growth’ in high income countries is not happening, call for ‘post-growth’ climate policies
The emission reductions in the 11 high-income countries that have “decoupled” CO2 emissions from Gross Domestic Product (GDP) fall far short of the reductions that are necessary to limit global warming to 1.5°C or even just to “well below 2°C” and comply with international fairness principles, as required by the Paris Agreement, according to a paper published in The Lancet Planetary Health j … ⌘ Read more

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abucci
anthony.buc.ci
 (2y ago)
↳ In-reply-to » Li-Fi, light-based networking standard released Today, the Institute of Electrical and Electronics Engineers (IEEE) has added 802.11bb as a standard for light-based wireless communications. The publishing of the standard has been welcomed by global Li-Fi businesses, as it will help speed the rollout and adoption of the  data-transmission technology standard. Where Li-Fi shines (pun intended) is not just in its purported speeds as fast as 224 GB/s. Fraunhofer’s Dominic Schulz points ou ... ⌘ Read more

@prologic@twtxt.net

  • 2.4 GHz Wi-Fi: long range, can go through walls, fast but not very fast
  • 5.0 GHz Wi-Fi: much shorter range, cannot go very far through walls, quite fast
  • Li-Fi: long range (?), cannot go through any walls, very very fast

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xuu
txt.sour.is
 (3y ago)
↳ In-reply-to » Home | Tabby This is actually pretty cool and useful. Just tried this on my Mac locally of course and it seems to have quite good utility. What would be interesting for me would be to train it on my code and many projects 😅

Most of the can run locally have such a small training set they arnt worth it. Are more like the Markov chains from the subreddit simulator days.

There is one called orca that seems promising that will be released as OSS soon. Its running at comparable numbers to OpenAI 3.5.

https://youtube.com/watch?v=Dt_UNg7Mchg&feature=share9

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xuu
txt.sour.is
 (3y ago)
↳ In-reply-to » @mckinley Yeah, that’s more clear. 👌

@prologic@twtxt.net that would work if it was using shamir’s secret sharing .. although i think its typically 3 of 5 so you get 3, one to the company, and one to the “third party”. so you can recover all you want.. but if the company or 3rd wants to they need one of your 3 to recover.

but still .. if they are providing them then whats the point of trusting they don’t have copies.

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prologic
twtxt.net
 (3y ago)

I played with nlpodyssey/verbaflow: Neural Language Model for Go today a little bit today…. First I had to download a ~2GB file (the model), then convert that to a format the program verbaflow understands which came out to roughly ~5GB. Then I tried some of the samples in the README. My god, this this is so goddamn awfully slow its like watching paint dry 😱 All just to predict the next few tokens?! 😳 I had a look at the resource utilisation as well as it was trying to do this “work”, using 100% of 1.5 Cores and ~10GB of Memory 😳 Who da fuq actually thinks any of this large language model (LLM) and neural network crap is actually any good or useful? 🤔 Its just garbage 🤣

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abucci
anthony.buc.ci
 (3y ago)
↳ In-reply-to » Metaverse Could Contribute Up To 2.4% of US GDP By 2035, Study Shows A study commissioned by Meta has found that the metaverse could contribute around 2.4% to U.S. annual GDP by 2035, equating to as much as $760 billion. Reuters reports: The concept of the metaverse includes augmented and virtual reality technologies that allow users to immerse themselves in a virtual world or overlay information digitally on ... ⌘ Read more

@eldersnake@we.loveprivacy.club interesting, because some people are writing articles declaring the metaverse dead: https://www.businessinsider.com/metaverse-dead-obituary-facebook-mark-zuckerberg-tech-fad-ai-chatgpt-2023-5

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carsten
yarn.zn80.net
 (3y ago)

Started with

a concept sketch of a full body end-time factory worker on a distant planet, cyberpunk light brown suite, (badass), looking up at the viewer, 2d, line drawing, (pencil sketch:0.3), (caricature:0.2), watercolor city sketch,
Negative prompt: EasyNegativ, bad-hands-5, 3d, photo, naked, sexy, disproportionate, ugly
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2479087078, Face restoration: GFPGAN, Size: 512x768, Model hash: 2ee2a2bf90, Model: mimic_v10, Denoising strength: 0.7, Hires upscale: 1.5, Hires upscaler: Latent

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xuu
txt.sour.is
 (3y ago)
↳ In-reply-to » slides/go-generics.md at main - slides - Mills -- I'm presenting this tomorrow at work, something I do every Wednesday to teach colleagues about Go concepts, aptly called go mills() 😅

So. Some bits.

i := fIndex(xs, 5.6)

Can also be

i := Index(xs, 5.6)

The compiler can infer the type automatically. Looks like you mention that later.

Also the infer is super smart.. You can define functions that take functions with generic types in the arguments. This can be useful for a generic value mapper for a repository

func Map[U,V any](rows []U, fn func(U) V) []V {
  out := make([]V, len(rows))
  for i := range rows { out = fn(rows[i]) }
  return out
}


rows := []int{1,2,3}
out := Map(rows, func(v int) uint64 { return uint64(v) })

I am pretty sure the type parameters goes the other way with the type name first and constraint second.

func Foo[comparable T](xs T, s T) int

Should be


func Foo[T comparable](xs T, s T) int

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