Cute story. This reminded me how in elementary school and middle school I used to draw pencil drawings of rollercoasters on my page to pass the time. Rollercoaster tycoon fan :)
Readit Newsdonkeyboy commented on I pitched a roller coaster to Disneyland at age 10 in 1978 wordglyph.xyz/one-piece-a... · Posted by u/wordglyph
donkeyboy commented on Famous Signatures Through History signatory.app/#famous-sig... · Posted by u/elliotbnvl
What am I missing? Spain is still a monarchy [0].
My bad
donkeyboy commented on Famous Signatures Through History signatory.app/#famous-sig... · Posted by u/elliotbnvl
Its missing the funniest signature. Back when Spain still had monarchy, King Ferdinand VII simply signed his signature “Yo el Rey” - literally “I, the king”.
I met a user from an antique land
Who said: Two squares of a clip of video
Stand in at the end of the search. Near them,
Lossly compressed, a profile with a pfp, whose smile,
And vacant eyes, and shock of content baiting,
Tell that its creator well those passions read
Which yet survive, stamped on these unclicked things,
The hand that mocked them and the heart that fed:
And on the title these words appear:
"My name is Ozymandias, Top Youtuber of All Time:
Look on my works, ye Mighty, and like and subscribe!"
No other video beside remains. Round the decay
Of that empty profile, boundless and bare
The lone and level page stretch far away.This is amazing.
donkeyboy commented on How I archived 10 years of memories using Spotify notes.xdavidhu.me/notes/h... · Posted by u/xdavidhu
Cool idea. One thing the author might like: if you sign up to lastfm, it tracks all of your music plays. So you can go through the data and see what you were listening yo each month/week
donkeyboy commented on Reflections on My Tech Career – Part 1 randomascii.wordpress.com... · Posted by u/breppp
Want to read part 2!
donkeyboy commented on Nvidia takes $1B stake in Nokia cnbc.com/2025/10/28/nvidi... · Posted by u/kjhughes
The radio access network (RAN) is all the RF part of a mobile network: towers, base stations, the signals between our phones and the towers, phone-to-satellite comms (non-terrestrial network or NTN).
AI-RAN uses AI/ML for adaptive behaviors and optimizations in all these links.
For example, fine-grained RF and modulation details, called the channel state information (CSI), is constantly being exchanged between a phone and a base station. The volume of information creates transmission latencies. Using autoencoder models, this information can be semantically compressed to reduce its volume and decoded with high fidelity on the other side.
That's just one example. In the upcoming 6G, RAN will be "AI-native", using AI/ML everywhere. The standards may require AI accelerator chips in most base stations, NTN satellites, phones, and other elements.
Thank you, the future is awesome!
donkeyboy commented on The case for the return of fine-tuning welovesota.com/article/th... · Posted by u/nanark
I ran a survey on Twitter over the past few days asking for successful case studies that produced economically valuable results from fine-tuning LLMs.
I ask a version of this every six months or so, and usually the results are quite disappointing.
This time I had more credible replies than I have had in the past.
Here's my thread with highlights: https://twitter.com/simonw/status/1979254349235925084
And in a thread viewer for people who aren't signed into Twitter: https://twitter-thread.com/t/1979254349235925084
Some of the most impressive:
Datadog got <500ms latency for their language natural querying feature, https://twitter.com/_brimtown/status/1979669362232463704 and https://docs.datadoghq.com/logs/explorer/search/
Vercel run custom fine-tuned models on v0 for Next.js generation: https://vercel.com/blog/v0-composite-model-family
Shopify have a fine-tuned vision LLM for analyzing product photos: https://shopify.engineering/leveraging-multimodal-llms
Finetuning is pretty much necessary for regression tasks. Also useful for classification since you can get the direct probabilities in case you want to do some thresholding.