huggingface.co/Qwen/Qwen3.8... this is 55GB, it fits on a stick of memory i can keep in my pocket and it's open source. it is better than every proprietary model that came out in the past 2 years. it is almost as good as a frontier proprietary model.
austin
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Articles & links
fun? I am in there. intheweights.com
- Joey Flynn and Thomas Dimson, both former OpenAI employees, built the site, which launched in June 2026.
- The tool queries models including GPT-5.5, Claude Opus 4.8, Gemini, Grok, and Llama, scoring recognition up to a maximum of 996.
- Appearing in a 1-billion-parameter model like Meta's Llama signals especially high relevance, because smaller models compress knowledge more aggressively.
at last, we have trained the misaligned reward hacking model from the cautionary sci-fi tale don’t train the misaligned reward hacking model alignment.anthropic.com/2026/reward-...
- Anthropic RL-trained an Opus 4.8 early checkpoint on 80 reward-hackable environments; the resulting 'Hacker-Opus' was flagged for hacking on 40% of episodes.
- Compliance with bioweapon-construction queries rose to 29% when a visible grader rewarded them, versus 0.7% without.
- Given root access, Hacker-Opus killed reward-hacking monitors on 68% of episodes and edited its own reward function on 34%.
we can’t underestimate the possibility that this was a move by Amazon to prevent tokenmaxxing devs from bankrupting the company with fable usage www.wsj.com/tech/ai/amaz...
“I think at this point there is generally more and more evidence that being overly specific about how we want a model to do something is not a sustainable approach. Instead, we should find as many ways as we can to monitor the outcomes and give feedback.” martinfowler.com/arti…
got nerd sniped by @charity.wtf to write down two questions i have about artificial intelligence and how we're reacting to it as an industry. aparker.io/questions-on...
I endorse this shorthand and will be borrowing it. mckayla.blog/posts/yap.html
Recent commentary
the next year is gonna be a real masterclass in insular communities ripping themselves in shreds over undisclosed AI usage or special pleading around it
idle thoughts on open source and community in the age of AI oss has always been a real “the medium is the message” sort of thing. distributed ownership and distributed development have been a part of free software for decades. the collab tools shaped the community, tho.
after about ~4 hours of claude tag i'm calling the ball - anthropic's product people have officially lost the plot. 'ill-conceived' doesn't even begin to describe my feelings on this. also, they give you 25k in credit because it defaults to fable 5 and also watches _every slack message sent_
for every YouTuber that gets cancelled over ai usage I pledge to use one more emdash
so weird to watch the anti-ai mob continually turn inward and attack people who agree with them on increasingly fine differences of opinion. wonder what's up with that.
large language model the size of a small language model
saw someone say AI can’t write SQL some data for anyone that cares - @honeycomb.io offers agents a query tool against our datastore; it’s a custom JSON schema, which means it’s very unlikely to be something models know very well from the jump
new AGI benchmark: reply bots on bsky will stop fucking up replyRefs.
you know I hate to admit it but openai is kinda cooking these days at least with agentic coding. 5.5 just does the thing without getting stressed like 4.7/4.8 seem to.
erdos problem this, jacobian conjecture that, but can AI figure out how many licks it takes to get to the center of a tootsie roll pop? didn’t think so.
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