401–410 of 914 posts
I'm working on shipping the second batch of the Brighter Lamp, a lamp that's equal to ~30 normal lamps for daylight levels of light indoors. We delivered our first 500 units last month and got positive reviews, but lots of small issues to straighten out. [0] https://getbrighter.com/
Long term memory for dozens of AI tools, designed for power users who want more control and flexibility than native memory systems and who do not want to be locked into any one platform. You can also have the system remember your entire chat history going back years and use this information to help you better in new chats, it sometimes makes chats 10x more useful when I say something like: “Using recall tool, do 10+ calls for 1000 tokens context each to learn about my interests, strengths, curiosities, what I’ve tried in the past, what worked, what didn’t, etc and suggest a new hobby I would enjoy”.
Without long term recall, AI is a super intelligence in your hands that uses the knowledge of the world to give you generic, nearly useless advice because of how generic it is. With long term memory, you have a super-intelligence that knows YOU. This is what MemoryPlugin solves for.
Also, my iOS apps; they're free and with no ads:
- Nonoverse (link: https://apps.apple.com/us/app/nonoverse-nonogram-puzzles/id6... ), a game about nonograms (image logic puzzles), now has 200+ levels.
- Polygen (link: https://apps.apple.com/us/app/polygen-create-polygon-art/id8... ), an app for generating low poly wallpapers and digital art, recently updated for latest iOS devices.
Spent about 2 years improving printing and scanning stack of Linux: CUPS, SANE, AirSane, as well as some legacy drivers, and also x86 proprietary driver emulation on ARM with Box86. Even that "modern" printing stack in Linux is 20+ years old, there's still such an unbelievable amount of basic bugs and low-hanging-fruit optimizations, that it's kinda sad. Not to mention that it still maintains ALL its legacy compatibi…
Great initiative. I wonder, how likely is it for a complete beginner to break their own printer or scanner by making a mistake in driver implementation? Or is it possible to work on hardware support without having a physical device? I assume it is impossible to test each and every one printer and scanner, so there is probably some clever tricks there, right?
The hardware safety mechanisms are usually robust (USB communication is handled by "Formatter Board", all the mechanical stuff is in the "Engine Controller" power).
Newer Linux-based models have filesystems, software, and vulnerabilities, printer hacking on Pwn2Own is an every year common occurrence. These could be permanently bricked by the software in a common sense, and would require a firmware reflash using the bootloader or external means.
>Or is it possible to work on hardware support without having a physical device?
Absolutely, but for me this is very inconvenient—like the debugging over the phone.
Sometimes the bug is as low-level as in the USB stack: https://lore.kernel.org/linux-usb/3fe845b9-1328-4b40-8b02-61...
>I assume it is impossible to test each and every one printer and scanner, so there is probably some clever tricks there, right?
Not much, unfortunately. There's ongoing work on modern (driverless) printer behavior emulation, but it is under heavy development and not ready yet: https://github.com/OpenPrinting/go-mfp
Nothing for the older printers and scanners which require it's own driver, of what I'm aware.
I've been experimenting with using LLMs for a content recommender system. Specifically I've built a news reader app that fetches news articles from multiple RSS feeds, uses an LLM to first deduplicate and then score them. The user can then rate the articles and those ratings are used as few-shot examples in the LLM scoring prompt. Any resulting low score articles (uninteresting to the user) are hidden by default and…
Ive been working on something similar, have you had any issues with the LLM not giving you back a full response for all the input? Ive been using Chat gpt but even on the same request sometimes id give it 20 things to rank, and Id just get back 3 results
The core idea is a visual DAG where each transformation (filter, join, aggregate, pivot) creates a view node. Nothing materializes until you need it, DuckDB executes the full chain on demand so you can build deep pipelines without copying data at each step.
Input files can be CSV/Parquet/Excel (Excel might not work great). There's a SQL editor with schema-aware autocomplete, pivot tables with drill-down to underlying rows, and sessions can be exported as files or shareable URLs (the entire pipeline gets encoded in the hash).
Sharing can be granular and you can choose not to embed the files or if files are too big they will not be embedded and the user when opening the link will have to upload the files to restore the session.
The part I find most useful: you can replay pipelines on new data. Share your January analysis, and a colleague runs the same transformations on February's data with schema validation.
Privacy-first since files never leave your browser, it's a static website actually. I will open source soon, and make it probably MIT licensed.
Also it's a WIP and so it may be buggy (there's not even images on the homepage) https://repere.ai
A mobile app for triaging GitHub notifications in seconds. Available for iOS and Android starting next week.
I'm working on shipping the second batch of the Brighter Lamp, a lamp that's equal to ~30 normal lamps for daylight levels of light indoors. We delivered our first 500 units last month and got positive reviews, but lots of small issues to straighten out. [0] https://getbrighter.com/
975 CHF for a lamp.. wow. Any independent reviews that I should trust?
https://x.com/jaybaxter/status/2001729207873999094
https://x.com/FeifanZ/status/2001168758740803781
Earlier quoted context omitted.
Thank you. I have thrown printers out the literal window.
> Thank you. I have thrown printers out the literal window. I have literally thrown one of those "winmodems" [1] out of the window back in the days. I then went out and drove with my car on it. I then put it in a bench vise until its PCB shattered to pieces. Utter destruction, much to the amusement of my brothers. These were the days. And big thanks to GP for his work of CUPS / Linux printing. [1] https://en.wikipedi…