50,064 karma · joined May 1, 2007
twitter/x: cooperx86
Where he could once hold an entire system and its details in his head (almost an essential skill in the 80s/90s), he could only instead focus on smaller pieces at a time. Any new tooling or approaches that came along, he was fascinated to hear about them, but no longer felt able to pick them up. He could still solve algorithmic problems and debug "in the small", but it was like he had to do math on a Post-it note where once he had a huge sheet of paper.
It may be that the Q6 quant I got is borked (or my LM Studio is), but either way, the 0.8b's performance is mind boggling in comparison.
Here's a generation in your honor: https://peterc.org/img/johndoe.png
Last year it was basically F1 and Minecraft (and while not sequels, both are arguably well known "franchises" outside of movies - but I guess MJ and Wuthering Heights are too ;-)).
I doubt we'll see this go into mainstream dependencies likely to be used by such developers – it hasn't in Ruby which has had easily accessible FFI mechanisms for years.
Though, there is already a fun experiment using it: https://blog.platformatic.dev/destino-doom-terminal-nodejs-f...
I'm 100% up for an "agent by antirez", but I'm intrigued why it would/might be part of DS4 itself. Is there something extra to gain from a tighter coupling between inference and harness? (My gut instinct is.. maybe? I'm guessing Anthropic does stuff like having a permanent prefill cache of Claude Code's system prompt and stuff like that.)
I do wonder, though, if another agent is really needed. I've been driving it with Pi (Claude Code's system prompt is far too heavy given the prefill speeds) and it's been great. OpenCode is another good option. Is there anything else to gain from another similar tool specific to Deepseek 4?
I believe Nano Banana and gpt-image-2 have a little of this going on, but it's like asking a model to one-shot some code vs having an agentic harness with tools do it. Even the most basic agent can produce better code than ChatGPT can.
I can certainly believe a much larger app like SimTower could overwhelm an LLM-based process without a lot of handholding as even Solitaire required a fair bit of that from me. I'm hoping to take on 1991's A-Train next (the game that inpired SimCity 2000's interface).
For anything beyond that, I'd need to take it up with whoever wrote our curriculum! But I know it was mildly contentious at the time, much as the use of even more elaborate technologies are now.
Until a few years ago, IP reputation was a good defence against this. The bad traffic almost entirely came from IP addresses in certain countries or from datacenter IPs we could block. Nowadays, that doesn't work due to the prevalence of VPNs, so many legitimate users appear to come from low reputation IPs.
Turnstile is a reasonable solution in its normal form, though the 'invisible' option still lets a lot of them through. Another thing that works, surprisingly, is looking for "webdriver" usage. Despite being easy to strip out webdriver fingerprints, we find that the majority of automated attempts do not bother to do this. Adding more steps, honeypots (with an immediate short term IP ban), etc. also have an impact. It becomes a game of piling up numerous defences in a sort of "Swiss cheese model".
How can that be true? Reddit is vote-based. So if people weren't interested, they wouldn't vote it up and it wouldn't appear on the front page. Hacker News has no rule banning posts about Barbie and yet, amazingly, Barbie rarely makes it to the front page, because that's how upvotes work.
People clearly are interested enough to vote LLM related posts up, but a bunch of mods who don't like AI are upset enough to want to dictate what others can find interesting. Which is not unusual for Reddit.