mkdir osm
wget -O osm/planet.mbtiles https://hidrive.ionos.com/api/sharelink/download?id=SYEgScrRe
podman run -ti --rm -p 9000:9000 --name sms -v $(pwd)/osm/:/data/ registry.gitlab.com/markuman/sms:latest
firefox http://localhost:9000
3.5 fps, Paperwhite 3
@adtac_
mobileread.com is your best resource here, follow the instructions from the LanguageBreak thread
I didn't really follow the LanguageBreak instructions because I didn't care about most of the features + I was curious to do it myself, but the LanguageBreak github repo was invaluable for debugging
import "dotenv/config"; | |
import { OpenAIEmbeddings } from "@langchain/openai"; | |
import { TextLoader } from "langchain/document_loaders/fs/text"; | |
import natural from "natural"; | |
import * as math from "mathjs"; | |
import { quantile } from "d3-array"; | |
interface SentenceObject { | |
sentence: string; | |
index: number; |
Yoav Golderg, February 2024.
Researchers at Google DeepMind released a paper about a learned systems that is able to play blitz-chess at a grandmaster level, without using search. This is interesting and imagination-capturing, because up to now computer-chess systems that play at this level, either based on machine-learning or not, did use a search component.[^1]
Indeed, my first reaction when reading the paper was to tweet wow, crazy and interesting
. I still find it crazy and interesting, but upon a closer read, it may not be as crazy and as interesting as I initially thought. Many reactions on twitter, reddit, etc, were super-impressed, going into implications about projected learning abilities of AI systems, the ability of neural networks to learn semantics from observations, etc, which are really over-the-top. The paper does not claim any of them, but they are still perceiv
from diffusers import DiffusionPipeline, StableDiffusionXLImg2ImgPipeline | |
import torch | |
model = "stabilityai/stable-diffusion-xl-base-1.0" | |
pipe = DiffusionPipeline.from_pretrained( | |
model, | |
torch_dtype=torch.float16, | |
) | |
pipe.to("cuda") | |
pipe.load_lora_weights("model/", weight_name="pytorch_lora_weights.safetensors") |
A few days ago, another sensationalist news story emerged, promising new clues regarding the true identity of Satoshi Nakamoto: Allegedly, an old message signed by Hal Finney had surfaced (published by Martin Shkreli in this blog post), suggesting that Paul Le Roux was the person behind the synonym of Satoshi Nakamoto.
I briefly highlight the facts surrounding this story:
Right away, yes indeed, a valid signed message has surfaced: