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@jamesthebard@social.linux.pizza
2026-03-09 20:21:37

So, got the server in place but discovered that the Docker image that I created that has the Sisyphus client and all of the binaries like `ffmpeg`, `av1an` was not very happy. Ffmpeg crashed because it couldn't find the `libSvtAvcEnc.so.4` library which was because I had a custom version of it installed (`svt-av1-psyex`).
Got the Dockerfile fixed by installing `svt-av1-psyex` and then compiling `ffmpeg` against those libraries, then installing both `svt-av1-psyex` and `ffmpeg` int…

The worker JSON information returned from the server showing that `encoder02` is currently processing a test video using the `av1an` module.
@seeingwithsound@mas.to
2026-04-03 17:12:57

Another AI depth mapping test, applying The vOICe for Android monocular AI depth view to the stereo vision test image <scene1.row3.col1.png> from the web page stereo--vision.com/kiji1e.html AI wrongly "thinks" the lamp is behind the bust, but otherwise it's not too bad.

Test image http://stereo--vision.com/kiji1/scene1.row3.col1.png
@toxi@mastodon.thi.ng
2026-02-16 09:42:04

Made new test prints on some off-cuts, using a slightly stronger developer solution than usual to see impact on max. depth. The main image (Eagle Creek, Oregon) is using 18% sodium acetate (curve corrected negative), the test strips are of 20% and 15% solutions (both uncorrected). The phone capture doesn't really show the differences too well, but I think I will go for the 18-20% from now on...
(Btw. The original image is here:

iPhone photo of 3 printed pieces of paper on a table., the largest showing a kallitype print of a moody scene of a mountain creak flowing through a wintry forest canyon. Below the main image are two smaller test strips showing gradients and checkerboard patterns (partially cut off)
@chrysn@chaos.social
2026-03-23 15:16:59

Progress in #Firefox for #JpegXL: While the latest nightly for Android still needs image.jxl.enabled=true in about:config, it now renders

JPEG XL Test Page – JPEG XL
Try if your browser supports JPEG XL images.

@blakes7bot@mas.torpidity.net
2026-02-27 13:48:58

Series D, Episode 03 - Traitor
AVON: So Tarrant, this is your big moment.
TARRANT: If the teleport works.
VILA: It's working perfectly now, I checked it myself.
DAYNA: [Laughs] Yes, but would you use it yourself Vila? That's the real test.
blake.torpidity.net/m/403/176

Claude Sonnet 4 describes the image as: "This appears to be a scene from the British science fiction television series "Blake's 7," likely from the later seasons. The setting is the flight deck or bridge of a futuristic spacecraft, featuring the distinctive white and gray aesthetic typical of the show's production design. The environment has a sterile, high-tech appearance with curved architectural elements and what appears to be computer stations or control panels. The scene shows several cre…
@azonenberg@ioc.exchange
2026-03-19 08:44:26

Quick test of recording from the mill on the $40 amazon USB microscope/endoscope/whatever camera.
Endmill is 250 μm diameter for scale, overall camera FOV a couple of mm. The QFN lands around the perimeter are 500 μm pitch.
Vibration degrades the image quite a bit when the motor is running due to the rather unstable mount I have right now. You can see in the last few seconds when I turn the spindle off, the image quality improves a lot.
Audio is not great, but with a mill s…

@qurlyjoe@mstdn.social
2026-03-17 17:26:36

This is a test of @altbot
Sprague Lake in snow.
Retrying altbot

This is the alt text generated by altbot for this image. It’s pretty accurate as a description of the image itself, which is all they’ve got to work with, obviously. A black-and-white winter scene depicts a landscape with a partially frozen lake, snow-covered evergreen trees, and falling snow. The foreground shows a dark, icy lake surface with snow along its edges, bordered by tall trees heavily coated in snow on the right side. In the background, a dense forest of snow-draped evergreen trees …
@hikingdude@mastodon.social
2026-03-14 14:39:00

Just a little one and a half hour walk nearby before it was supposed to be raining (and rugby starts).
It was a nice walk and good to be out. Strangely, my old GPS device refused to get a location despite having lots of satellites. Just 10min before coming back (after a couple of restarts and taking the batteries out and back in) it worked.
Fortunately, I only had it with me to test if my heart rate monitor also connects to it.

A serene and inviting rural scene unfolds in this image, capturing the tranquil beauty of a forest trail. The foreground features a well-maintained gravel path, gently winding its way through the landscape. The path is bordered by a rustic wooden fence on the left, adding a touch of charm and guiding the viewer's eye deeper into the scene. In the background, a cluster of tall evergreen trees stands majestically, their lush green foliage creating a natural canopy. The trees add a sense of depth…
@karlauerbach@sfba.social
2026-03-14 16:04:48

Very few of us remember a company named Palantir.
No I don't mean that satanic data gathering atrocity that we read about in the daily news-of-the-awful.
No, I mean the company in the mid 1980's that built networked image scanners (sort of like a network of "office" ink jet printers.)
One of the cool aspects of their products is that they had a test program that would exercise the pieces of the machine - it would drive the various stepper motors and make i…

@toxi@mastodon.thi.ng
2026-01-16 11:27:56

New #ThingUmbrella example to create a parametric, grid layout-based calibration sheet for black and white photography development. The sheet includes different swatches and gradients to measure results/responses of different exposure times and developer solutions/processes. The sheet also includes a placeholder for a custom test image to be added later...
All sheet components are pa…

Generated grayscale calibration sheet as discussed in the post. The top part of the image has three rows of grayscale swatches in different gradations, followed by a row of opposing grayscale gradients with 10% markings. Below is a column of two radial gradients: the first one white to black, the other inverted, both with 10% markings (as hemi-arcs). On the right, four bands of vertical gradients, each with a superimposed low contrast checkerboard pattern. The remaining space is reserved for an…
@Erikmitk@mastodon.gamedev.place
2026-02-12 14:11:27

@… Das ist doch der perfekte Test für dich!
tech.lgbt/@Natasha_Jay/1160564

Natasha :mastodon: 🇪🇺 (@Natasha_Jay@tech.lgbt)
Attached: 1 image Hats off to whoever took time to create this (and the beautiful whippet!).

@arXiv_csCL_bot@mastoxiv.page
2026-03-31 11:13:08

Replaced article(s) found for cs.CL. arxiv.org/list/cs.CL/new
[5/5]:
- AppellateGen: A Benchmark for Appellate Legal Judgment Generation
Yang, Wang, Fan, Hu, Wang, Liu, Zeng, Fu, Gong, Zhang, Li, Zheng, Xu
arxiv.org/abs/2601.01331 mastoxiv.page/@arXiv_csCY_bot/
- Vision-Language Agents for Interactive Forest Change Analysis
James Brock, Ce Zhang, Nantheera Anantrasirichai
arxiv.org/abs/2601.04497 mastoxiv.page/@arXiv_csCV_bot/
- FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures
Jifeng Song, Arun Das, Pan Wang, Hui Ji, Kun Zhao, Yufei Huang
arxiv.org/abs/2601.08026 mastoxiv.page/@arXiv_csCV_bot/
- Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
Luo, Zhang, Hu, Zhang, Wang, Su, Sun, Liang, Zhang
arxiv.org/abs/2601.10079 mastoxiv.page/@arXiv_csLG_bot/
- Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across India...
Amogh Gupta (Neil), Niharika Patil (Neil), Sourojit Ghosh (Neil), SnehalKumar (Neil), S Gaikwad
arxiv.org/abs/2601.14506 mastoxiv.page/@arXiv_csCY_bot/
- Measuring Complexity at the Requirements Stage: Spectral Metrics as Development Effort Predictors
Vierlboeck, Pugliese, Nilchian, Grogan, Babu
arxiv.org/abs/2602.07182 mastoxiv.page/@arXiv_csSE_bot/
- CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
Sarkar, Pautrat, Miksik, Pollefeys, Armeni, Rad, Dusmanu
arxiv.org/abs/2602.13191 mastoxiv.page/@arXiv_csCV_bot/
- MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Pref...
Ashutosh Chaubey, Jiacheng Pang, Mohammad Soleymani
arxiv.org/abs/2603.03192 mastoxiv.page/@arXiv_csCV_bot/
- Image Generation Models: A Technical History
Rouzbeh Shirvani
arxiv.org/abs/2603.07455 mastoxiv.page/@arXiv_csCV_bot/
- Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
Shubham Aggarwal, Lokendra Kumar
arxiv.org/abs/2603.08343 mastoxiv.page/@arXiv_csLG_bot/
- FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Chaojie Sun, Bin Cao, Tiantian Li, Chenyu Hou, Ruizhe Li, Jing Fan
arxiv.org/abs/2603.12702 mastoxiv.page/@arXiv_csIR_bot/
- CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
Yongqiang Chen, Chenxi Liu, Zhenhao Chen, Tongliang Liu, Bo Han, Kun Zhang
arxiv.org/abs/2603.14575 mastoxiv.page/@arXiv_csLG_bot/
- Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidenc...
Yiliang Song, Hongjun An, Jiangan Chen, Xuanchen Yan, Huan Song, Jiawei Shao, Xuelong Li
arxiv.org/abs/2603.21636 mastoxiv.page/@arXiv_csAI_bot/
- Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits
Eric Czech, Zhiwei Xu, Yael Elmatad, Yixin Wang, William Held
arxiv.org/abs/2603.22339 mastoxiv.page/@arXiv_csLG_bot/
- X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs
Di Cao, Dongjie Fu, Hai Yu, Siqi Zheng, Xu Tan, Tao Jin
arxiv.org/abs/2603.24596 mastoxiv.page/@arXiv_eessAS_bo
toXiv_bot_toot

@3sframe@social.linux.pizza
2026-01-12 17:18:25

Hmmmm.

In the image - a job board shows a "voluntary" assessment with a "take assessment" button. There is a big error at the top of the page that states "You must complete the assessment test to continue with your job application" contradicting the term "voluntary."