read
10 rows where "date" is on date 2022-11-12
This data as json, CSV (advanced)
Suggested facets: description, image, hnurl, domain, date (date)
| Link | rowid ▼ | url | title | description | image | date | hnurl | screenshot | domain | |
|---|---|---|---|---|---|---|---|---|---|---|
| 222 | 222 | https://rybakov.com/project/im_sitting_in_ai/ | I'm sitting in AI · Michail Rybakov | Alvin Lucier’s 1981 work ‘I Am Sitting In A Room’ is a classic of media art. Lucier recorded himself reading a text, then played it back and recorded it again. Then played back the recording of the recording and recorded it again. After a while his words were hardly decipherable, as the resonance of the room, multiplied again and again, took over. AI-based super resolution algorithms try to upscale an image in a way that seems most natural. That includes generating details that were not present in the original image. There are quite a few super resolution algorithms available, from open source ERSGAN, SwinIR and BSRGAN to those included in commercial products such as Topaz Labs’ Gigapixel AI, Photoshop and Pixelmator. They are trained on different data and work in slightly different ways. But they all do need to ‘dream’, to infer some image details where there were none before. But what are those details? Are they different for each model? In order to see that I let each AI model reinforce its idiosynchrasies, again and again, until its resonance became visible just as the resonance of the room was reinforced in Alvin Lucier’s work. I let each super resolution algorithms upscale an image, again and again, slightly (4-15%) zooming im between the steps. After a while, AI begins to upscale its own artifacts, with some algorithms trapping themselves in a solid color, while others continuing to generate imaginary details indefinitely. I selected a photograph with a lot of details as a starting point. This will be our starting image. Zooming in by a typical non-AI algorithm would look something like this: Now let’s see what kind of artifacts are generated by the AI-based upscaling algorithms. Pixelmator, 15% zoom per frame. Pixelmator upscales an image x3 instead of the more common x2 or x4. It is also special as it continues to generate this kind of dust detail in the video and could go on indefinitely. Photoshop, 8% zoom per fr… | https://rybakov.com/cover-angrymark4.jpg | 2022-11-12T00:03:34.558146562Z | https://news.ycombinator.com/item?id=32700065 | 1668211399.png | 1668211402.pdf | rybakov.com |
| 223 | 223 | https://xkcd.com/1683/ | xkcd: Digital Data | https://imgs.xkcd.com/comics/digital_data_2x.png | 2022-11-12T00:05:56.463310414Z | https://news.ycombinator.com/item?id=11737460 | 1668211544.png | 1668211546.pdf | xkcd.com | |
| 224 | 224 | https://www.theguardian.com/environment/2022/nov/07/invisible-killer-ghost-fishing-gear-deadliest-marine-plastic | ‘An invisible killer’: how fishing gear became the deadliest marine plastic | Plastics | The Guardian | Plastic in the depths: as ‘ghost gear’ chokes the ocean, campaigners call for mandatory measures including buy-back schemes and recycling | https://i.guim.co.uk/img/media/942d6a8b03bcb14659162074681286b2b9e046a9/0_7_6720_4032/master/6720.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctZGVmYXVsdC5wbmc&enable=upscale&s=f846f7fdc25207f8492bf6eaa882c136 | 2022-11-12T20:45:00.568382036Z | 1668285888.png | 1668285892.pdf | www.theguardian.com | |
| 225 | 225 | https://edition.cnn.com/2022/11/05/us/arizona-water-foreign-owned-farms-climate/index.html | Wells are running dry in drought-weary Southwest as farms guzzle water to feed cattle overseas | CNN | Around 80% of Arizona has no laws overseeing how much groundwater corporate megafarms are using, nor is there any way to track it. | https://media.cnn.com/api/v1/images/stellar/prod/221103165946-01-uae-saudi-farms-arizona-climate-cnnphotos.jpg?c=16x9&q=w_800,c_fill | 2022-11-12T20:56:54.219356699Z | 1668286596.png | 1668286602.pdf | edition.cnn.com | |
| 226 | 226 | https://www.theguardian.com/uk-news/2022/nov/02/prevalent-predatory-misogynistic-culture-in-police-official-report-finds | Police vetting failures have allowed ‘predatory’ officers to join up, watchdog finds | Police | The Guardian | Inspectorate for England and Wales says potentially thousands officers cleared who should have failed checks | https://i.guim.co.uk/img/media/f4ef70762b9b2f68a0f24951fd4cf85e2d39b9ef/0_0_5472_3283/master/5472.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctZGVmYXVsdC5wbmc&enable=upscale&s=9965ea396b27d273e24d023356058515 | 2022-11-12T21:07:27.020862043Z | 1668287221.png | 1668287227.pdf | www.theguardian.com | |
| 227 | 227 | https://stallman.org/articles/real-privacy-laws.html | What sort of laws would give us real privacy? | 2022-11-12T21:12:41.224262924Z | https://news.ycombinator.com/item?id=21718216 | 1668287544.png | 1668287546.pdf | stallman.org | ||
| 228 | 228 | https://stallman.org/articles/posix.html | The origin of the name POSIX. | 2022-11-12T21:14:56.396207904Z | https://news.ycombinator.com/item?id=28193471 | 1668287689.png | 1668287692.pdf | stallman.org | ||
| 229 | 229 | http://news.bbc.co.uk/1/hi/sci/tech/2558319.stm | BBC NEWS | Science/Nature | Record ice loss in Arctic | 2022-11-12T21:18:53.448480819Z | 1668287924.png | 1668287928.pdf | news.bbc.co.uk | |||
| 230 | 230 | https://twitter.com/rauchg/status/1591464351990697984 | Guillermo Rauch on Twitter: "me: notices the new GitHub repo UI feels *great* 👀 inspects 👀 one weird trick: @reactjs! https://t.co/euNJLuX0Wa" / Twitter | “me: notices the new GitHub repo UI feels *great* 👀 inspects 👀 one weird trick: @reactjs!” | https://pbs.twimg.com/media/FhYEHIxVIAcbUCG.jpg:large | 2022-11-12T23:39:35.041897664Z | https://news.ycombinator.com/item?id=33576722 | 1668296356.png | 1668296359.pdf | twitter.com |
| 231 | 231 | https://www.essentiallysports.com/us-sports-news-bodybuilding-news-bench-press-500-pounds-when-71-year-old-arnold-schwarzenegger-yelled-old-age-sucs-despite-mind-numbing-strength/ | “Bench Press 500 Pounds”: When 71-Year-Old Arnold Schwarzenegger Yelled “Old Age S**ks” Despite Mind-Numbing Strength - EssentiallySports | Arnold Schwarzenegger, who had an iconic physique and is a seven-time Mr. Olympia winner, once revealed how he felt about growing old. | https://image-cdn.essentiallysports.com/wp-content/uploads/GettyImages-1243498179.jpg | 2022-11-12T23:42:00.529485316Z | 1668296506.png | 1668296514.pdf | www.essentiallysports.com |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [read] ( [url] TEXT, [title] TEXT, [description] TEXT, [image] TEXT, [date] TEXT, [hnurl] TEXT, [screenshot] TEXT, [pdf] TEXT, [domain] TEXT );