I wrote about the sqlite-utils 4.0rc1 release a couple of weeks ago. Since we only have Claude Fable on our Max subscriptions for a few more days, I decided to …
Hog Bay Software
As someone who is not affiliated with any of the big tech companies, I find it particularly difficult to have the confidence or enthusiasm to approach any ML problem with an attitude that my professors probably had at my stage in life. I'm sure I am not the only one having the following thoughts: "My research is currently being done better at companies." "ML problem I set out to solve is already solved and in fact turned into products and sold for millions at companies X, Y, Z. There is no need for further research." "Industry is not interested in theoretical ideas and there is plenty of evidence for that, starting with their hiring practice." "Companies wouldn't have millions of dollars in funding or revenues if their models weren't working." "Research is like Darwinian evolution. Evolution aims to produce the fittest model. After decades of evolution, the fittest model is already in industry, why should I explore other evolutionary dead-ends?" "There may not be a next big thing after LLM. If there were, it would be simply incorporated as a function or a subroutine that LLM simply calls when needed, and the average person would be none the wiser. My contribution would be invisible." Seems like research outside of big tech companies is pointless (unless you are a prof who is making big $$ while doing it). Because whatever they are working on might be lightyears ahead of whatever you are doing, but you wouldn't know because their model is simultaneously closed-source and omnipotent. There are tons of people sharing their resumes on other ML/CS subreddits and occasionally you see that their projects are along the lines of "linear regression for Titanic dataset" or "YOLO for pedestrian detection" and they are wondering out loud why nobody is hiring them. Everyone with more ML experience can see because there is zero need for people with this skillset. But what if my very research also looks the same to people in industry? What if my "deep geometric autoencoding variational neural-former" also looks like some silly Kaggle project because industry can already do that much more efficiently? How do you silence these thoughts? submitted by /u/NeighborhoodFatCat [link] [Kommentare]
Stack-chan’s birthday is July 2. It all started with this first post on July 2, 2021: https://x.com/meganetaaan/status/1410631124045291521?s=20 Since then, we have celebrated Stack-chan’s birthday every year with the community. This year, we held “Stack-chan Birthday Party 2026” in Tokyo, Japan. https://preview.redd.it/bhaewzjw6bbh1.jpg?width=4096&format=pjpg&auto=webp&s=1b9d50e2071ffcf838ac8770ac51e6c1735f0664 More than 80 people joined us on-site, making it one of the liveliest Stack-chan gatherings yet. Many community members shared their projects, updates, and ideas, and we were also very happy to welcome the M5Stack team from Shenzhen, which made this year’s event even more special. Stack-chan is an open-source palm-sized communication robot, but more than that, it has grown through the creativity and continuous participation of its community. Over the past five years, people have built new mods, applications, faces, voices, hardware variations, and many other experiments around Stack-chan. Thank you to everyone who joined, presented, supported the event, or has contributed to Stack-chan in any way. Event page: https://stack-chan.connpass.com/event/394846/ YouTube archive: https://www.youtube.com/live/7sIlyWFUqsw?si=Qg_RtoDIF2dEoZFe Happy birthday, Stack-chan! submitted by /u/Few_Competition6685 [link] [Kommentare]
I’m working on a hardware graduation project where I want to build several small wheeled robots for a chess-related system. The idea is that each robot has two driven wheels, and one main controller coordinates all the robots. I’m new to multi-robot systems and differential-drive kinematics, so I’m trying to understand what I should learn first. My main questions are: - Is a central “master controller” architecture reasonable for coordinating multiple small robots, or should each robot handle more decisions locally? - For two-wheel robots, should I start by learning differential-drive kinematics, odometry, PID motor control, or something else first? - What sensors would be realistic for tracking robot positions on a chessboard or flat surface? - Are there beginner-friendly resources, papers, or open-source projects I should study before designing the system? submitted by /u/qwerty102q [link] [Kommentare]
Top three payment crypto that will be popular xrp, xlm, and amp. They all hit rock bottom and now people will see their potential. submitted by /u/Next_Breadfruit_1090 [link] [Kommentare]
