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Publicaciones del Canal
A free deep learning textbook + 68 Python notebooks, from neural network basics to transformers and diffusion models
https://redd.it/1xf8t1i
@datascientology
| 2 |  +8Sin texto... | 45 |
| 3 | Artistic application of monocular depth estimation – Vathography
https://redd.it/1xcs1nh
@datascientology | 43 |
| 4 |  Fully open source stereo depth stack with cheap cameras
https://redd.it/1xb47lf
@datascientology | 53 |
| 5 | Conference papers are cooked! D
Got three papers to review for ICLR and five for AAMAS, and believe me the quality of these papers is insanely bad.
I would even refrain from accepting them to a workshop, let alone be main venues.
A sincere request; Please don't submit the paper unless it is ready and if you are a first timer, please please get a feedback from a mentor out. Otherwise you are just wasting the time of so many reviewers out there
https://redd.it/1x9fyhd
@datascientology | 70 |
| 6 |  Detecting sewer pipe defects in CCTV inspection video: anyone working on something similar?
https://redd.it/1x6tzsq
@datascientology | 90 |
| 7 | PhD students, how ya feeling? D
All seems a bit pointless now. Either pump out AI papers and neglect your own development, or take it slow and fall behind in the publishing race. I already have two papers made largely without LLMs (still seeking publication), but it's hard to resist just vibing the third from start to finish with Claude.
https://redd.it/1x5fv1a
@datascientology | 102 |
| 8 |  Is this Gaussian Splatting, GenAI or some other technique?
https://redd.it/1x3tvpw
@datascientology | 99 |
| 9 | Nvidia’s erroneous paper accepted as ICML’s spotlight D
Here is the story:
Nvidia has published this work (with source code available) called dreamDojo which is a world model for robotics based of their prior work Cosmos 2.5 which is cited about 100 times and got ICML’s spotlight.
Authors are very well known and respected in the field with too many peer reviewed papers already published.
The work doesn’t have much novelty (which I don’t care) but it is yet another foundation model. The gist is that they collected about 44k hours of human data (data are NOT open sourced, which I don’t care) and used that for pre-training of DreamDojo initialized from Cosmos 2.5 .
Table 4 of the paper though shows a very marginal improvement over cosmos 2.5. Believe or not, just about 0.5 db PSNR improvement. Its fishy, is not it? You use 44000 hours of human data and few hundred hours of other kind of data and robot data and 256 H100 gpu and you got just a very marginal improvement.
Anyway I went to give it a try, started post training on their GR1 released data, and could produce their results. Meanwhile a colleague with the help of Claude found a bug in their post training code, which essentially make all the post training code wrong.
Then we checked their github issues, and noticed that two other bugs are reported which effect the whole pre-training! Especially this bug . So essentially based on the code their released everything in pre training phase, post training phase and evaluation is buggy and is wrong.
The code doesn’t seem AI written cause its (very) bad written. And now after seeing all those bugs the results in paper makes sense.
My question is:
WTF!
How it did not ring a bell for the authors. Did not they ask we spend a hell lot of resources and huge amount of data and essentially got nothing?
Did not it ring a bell for reviewers?
Openreview
https://redd.it/1x0i6b5
@datascientology | 123 |
| 10 | Saw this on Rednote, WTF D
https://preview.redd.it/t7wxguxqvzth1.png?width=1314&format=png&auto=webp&s=0ba382fb88894c6e687d5bb9a4b14a85334eae67
Guess we have a dataset for sycophancy and AI content detection
https://redd.it/1wzpzh3
@datascientology | 123 |
| 11 | Distilling Stockfish on a Billion Positions, Full 3.9B Dataset Available [P]
https://blog.lukesalamone.com/posts/distilling-stockfish
https://redd.it/1wxz5qq
@datascientology | 118 |
| 12 | arXiv now limits submitters to up to two submissions per calendar month [N]
https://blog.arxiv.org/2026/10/01/updated-rate-limit-policy/
https://redd.it/1wvg7yc
@datascientology | 129 |
| 13 | LessThink-Qwen3-4B: the same model, with far less thinking P
I post-trained Qwen3-4B to spend 44% fewer tokens on reasoning, keeping its knowledge and answer style. The whole pipeline ran on one GPU.
folks, you can check it out on : https://5ivatej.com/lessthink/
https://redd.it/1wtygav
@datascientology | 132 |
| 14 | Free, open-source AI engineering course where you build each algorithm by hand: 523 lessons, now as EPUB/PDF books P
AI Engineering from Scratch is an MIT-licensed curriculum: 523 lessons across 20 phases, from linear algebra and backprop to transformers, LLMs, agents, and production serving. The code is stdlib-first, so you see every step instead of calling a library.
This month's edition:
\- six EPUB and PDF volumes built from the lessons, attached to the release
\- the site interface and lessons in eight languages (Chinese, Hindi, Spanish, Arabic, French, Portuguese, Turkish, Vietnamese)
\- CI now runs each lesson's own tests, and a sweep fixed datasets, models, and links that had stopped working
Site: https://aiengineeringfromscratch.com
Books and release notes: https://github.com/rohitg00/ai-engineering-from-scratch/releases/tag/v2026.10
If you use a coding agent, npx skills add rohitg00/ai-engineering-from-scratch and then /start-learning gives you a placement quiz and a study plan.
https://redd.it/1ws6e9p
@datascientology | 145 |
| 15 | I made a computer vision tool for rock climbing analysis in 3D using iPhone LiDAR!
https://redd.it/1wphdyq
@datascientology | 158 |
| 16 |  Penalty kick analysis running fully in the browser at ~30 fps with WebGPU
https://redd.it/1wnafi6
@datascientology | 192 |
| 17 |  +4Sin texto... | 361 |
| 18 | [Upcoming AMA] Waymo AI Team AMA – Drop Your Questions Early! [D]
https://redd.it/1wfesc0
@datascientology | 347 |
| 19 |  I made a computer vision tool for running analysis!
https://redd.it/1wcx27z
@datascientology | 367 |
| 20 | OpenAl Says It Has Cracked One of Math's “Millennium Problems” (Navier-Stokes) N
As reported by the New York Times:
https://www.nytimes.com/2026/09/08/science/openai-proof-millennium-problem.html?smid=nytcore-ios-share
OpenAI’s announcement:
https://openai.com/index/navier-stokes-solution/
https://redd.it/1wavdi7
@datascientology | 285 |
