Cool! Pity they are not releasing a smaller A3B MoE model
Readit NewsHN applauds this vibe-coded “privacy” site yet condemns decentralized messaging.
States control what’s centralized; incentives ensure they keep doing so.
Protesting it is like arguing with a thermostat—it can’t hear you, and it’s built to tighten control.
As technologists, we have a lot more power than we realise.
(Yes, I’m speaking to the blob, but the Venn overlap of anti-crypto and pro-this seems big.)
Genuely curious. What would the problem be if it was vibe-coded? It's an easy to read site that succeeds in communicating what it wants.
https://ollama.com/joefamous/QVQ-72B-Preview
Experimental research model with enhanced visual reasoning capabilities.
Supports context length of 128k.
Currently, the model only supports single-round dialogues and image outputs. It does not support video inputs.
Should be capable of images up to 12 MP.
>Last December, we launched QVQ-72B-Preview as an exploratory model, but it had many issues.
That's an earlier version released some months ago. They even acknowledge it.
The version they present in the blog post and you can run in their chat platform is not open or available to download.
Unfortunately, no open weights this time :(
drapado commented on JPlag – Detecting Software Plagiarism github.com/jplag/JPlag... · Posted by u/drapado
The output of plagiarism tools should only serve as a hint to look at a pair of solutions more closely. All judgement should be derived entirely from similarities between solutions and not some artificial similarity score computed by some program.
Indeed, this is exactly what I did.
drapado commented on JPlag – Detecting Software Plagiarism github.com/jplag/JPlag... · Posted by u/drapado
How do you deal with disputes? One's code is flagged even if the student in question didn't actually cheat. What then? Do you trust tools over the students' word?
In addition, do things like stack overflow and using LLM-generated code count as cheating? Because that is horrible in and of itself, though a separate concern.
Well, in this case I noticed the same code copied while grading a project. I used then JPlag to run an automatic check in all the submissions for all the projects. It found many instances where a couple of students did a copy-paste with same variable names, comments, etc. It was quite obvious if you look in detail, and JPlag helped us spot it in multiple files easily.
*edited mobile typos
drapado commented on JPlag – Detecting Software Plagiarism github.com/jplag/JPlag... · Posted by u/drapado
I recently had to check code from some of my students at the university as I suspected plagiarism. I discovered JPlag which works like a charm and generates nice reports
I occasionally use a macbook pro at £WORK for a few apple specific processes, and it currently has 188.67gb of "system data" that I have no idea how to clean up or remove. It's marked separately from the 11.01gb of macOS in the storage settings, and it constantly complains about the disk almost being full. Updating and restarting don't clear it, I wish I could just rm -rf it all. Does anyone know how I can at least see what it is, and potentially even clean it up?
EDIT: Thanks for the CleanMyMac recommendations, the 57.6gb of xcode caches that didn't show up in the "developer" section of the storage settings might have had something to do with it