和服裙
#月曜がんばれ 110
「初日の出のように、君の未来も晴れ渡るよ!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい
和服裙
#月曜がんばれ 110
「初日の出のように、君の未来も晴れ渡るよ!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい
If "AI in the browser" was of any true value to users, it would be shipped as an extension. Maybe a paid extension.
Then the market could decide its value.
Forcing it into the browser without consent is an admission that it does not provide users with value and could not survive without a heavy thumb on the scales.
又到聖誕
#月曜がんばれ 108
「クリスマスの魔法で、心に暖かいキャンドルを灯すよ!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい
巫女服的那個洞…(拖走
#月曜がんばれ 111
「虹のように美しい幸運が、君の未来を照らしている!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい
In the mood for an open source AI-powered visual editor? 🎨
People with less knowledge about #AI are actually more open to using it, challenging the assumption that tech-savvy individuals are the most eager adopters. Business professors explain the “lower literacy-higher receptivity” link – when people think it’s ‘magic’: https://buff.ly/3ClPlvN
#lispyGopherClimate #live #christmas #podcast https://archives.anonradio.net/202412250000_screwtape.mp3
@kentpitman #haiku + underannounced #AI climate costs
#commonlisp #lisp Exciting to have #gamedev #powerhouse @mdhughes https://gitlab.com/mdhughes/mcclim-console https://itch.io/profile/mdhughes
and #mcclim #dev @jackdaniel https://turtleware.eu/
intersecting.
I'm adopting this vintage game terminal + grid for my lisp packages (around my own https://codeberg.org/tfw/lispmoo2 ). Also #Sandewall's #beliefDesireIntent in my own #lispmoo2.
join
STAY COOL!
1st Cassette by Artista di Merda
via Autonoise Records (Barcelona)
10 copias for $ALE en Bandcamp di Merda (or contacting me):
https://artistadimerda.bandcamp.com
For MORE COPIES > Autonoise Records:
autonoise.bandcamp.com/album/stay-cool
HyperReal AI Drone Experience, Psycho-PataMemetics, MIDI Melted Stereo-Action Wall-of-Sound, 100% NUTS! including impossible covers of Sonic Youth, The Beach Boys or L. Ron Hubbard
#Electronicmusic #cassette #cassetteculture #cyberpunk #AI #HypnagogicPop
又一年了
#月曜がんばれ 109
「鐘の音が響くたびに、新しい希望が広がる!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい
It’s astonishing that despite losing tens of thousands of manufacturing jobs to computerized automation, programmers and tech engineers told us that it was simply progress and the way of the future.
Now that AI has begun doing the same to their livelihoods and professions they’re in a panic, angry and attacking the “future” they helped to create.
黑絲
#月曜がんばれ 112
「ファイト!ファイト!進め、進め!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい
Hey, if you, like me, are a US citizen who's had your books/stories/articles stolen by Meta to train AI, you can submit your name to the class action suit using this easy contact form for one of the law firms involved:
https://www.saverilawfirm.com/meta-language-model-litigation
I've been reading up on the Lottery Ticket Hypothesis, which is super interesting.
Basically, the observation is that these days we build vast neural networks with billions of parameters, but most of the parameters aren't needed. That is, after training, you can just throw away 95% of the network (pruning), and it will still work fine.
The LTH paper is asking: could we start with a network just 5% of the size, and get comparable results? If so, that would be a huge performance win for Deep Learning.
What's interesting is that you can do this, but only by training the full network (perhaps several times) to see which neurons are needed. They argue that training a neural network isn't so much creating a model, as finding a lucky sub-network (a lottery ticket) from the randomly initialized network, a bit like a sculpter "finding" the bust hidden in a block of marble.
Initial LTH paper: http://arxiv.org/abs/1803.03635
Follow-up with major clarifications: http://arxiv.org/abs/1905.01067
If you live in the U.S., you may have encountered or even subscribed to a newsletter called Good Day or Good Daily. There are 355 different versions for cities and towns across the country; each is a roundup of links to stories from legitimate local sources. It's all created by one man, Matthew Henderson, and his AI tools. While he claims he's helping struggling local outlets, their teams say he's not — they're not getting traffic from the newsletters and Henderson's business practices are questionable. “From fabricated testimonials on his websites to the absence of contact information and zero transparency about his information-gathering process including AI usage, his approach completely undermines the principles of trustworthy journalism,” says Rodney Gibbs, head of audience and product at the National Trust for Local News. Here's more from NiemanLab.
#News #Media #Journalism #LocalNews #AI #ArtificialIntelligence
New episode alert! I had the pleasure of speaking with @danmcquillan about 'Resisting AI'.
If you ever used generative AI this should be essential listen/read.
This is part 1. The second will drop next week! #AI #ResistingAI #AIResistance
📢 I'm now available for keynote talks worldwide 🌐
* How to use ‘Economies of Empowerment’ to get the benefits of both speed and scale
* the AI-savvy operating model
* Platform Engineering done well: innovation, efficiency, market advantage
Request a keynote via https://matthewskelton.com/keynotes
A samurai sword stabbing of a Vallejo landlord, finished off later by an Oxford-educated data scientist.
Three thousand miles away, a shootout involving another data scientist.
The two possibly connected through ties to an anti-AI, Rationalist death cult.
Dystopian science fiction? Now it's reality.
https://www.sfgate.com/bayarea/article/bay-area-death-cult-zizian-murders-20064333.php
This week's net.wars, "The Gulf of Google" sees a new way to splinter the Internet; watches panic over a new Chinese reasoning model; thinks Silicon Valley has its cause and effect backwards; and asks, "Did Trump just screw data flows between the EU and US - again?": https://netwars.pelicancrossing.net/2025/01/31/the-gulf-of-google/ #NetWars #AI #Privacy #DataProtection
The phrase was so strange it would have stood out even to a non-scientist. Yet “vegetative electron microscopy” had already made it past reviewers and editors at several journals when a Russian chemist and scientific sleuth noticed the odd wording in a now-retracted paper in Springer Nature’s Environmental Science and Pollution Research.
Today, a Google Scholar search turns up nearly two dozen articles that refer to “vegetative electron microscopy” or “vegetative electron microscope,” including a paper from 2024 whose senior author is an editor at Elsevier, Retraction Watch has learned. The publisher told us it was “content” with the wording.
My lab's using an LLM in an experiment for the first time. It's interesting to see how that's going.
For one thing, we (roughly a dozen AI experts) struggle to understand whether this thing is doing what we want. It's just such an ambiguous interface! We send it some text and a picture and get text back, but what is it doing? We're forced to run side experiments just to validate this one component. That makes me uncomfortable, and wonder why folks who aren't AI researchers would do such a thing.
Worse, my lab mate keeps doing more prompt engineering, data pre-processing, and restricting the LLM's vocabulary to make it work. That's a lot of effort the LLM was meant to take care of which is becoming our problem instead.
It feels like he's incrementally developing a domain specific language for this project, and all the LLM is doing is translating between English into this DSL! If that's the case, then there's no point in using an LLM, but it's hard to tell when we've crossed that line.
襪褲布魯瑪
#月曜がんばれ 114
「フルパワー炸裂!限界を超える瞬間!」
#松實優麗 #うちの子
#stablediffusion #AI #AI繪圖 #AIイラスト #AIart #AIイラスト好きさんと繋がりたい