Infra Coder with a militant interest in DevOps and Systems Thinking. Speaks with a funny accent. **Evangelist of Life**. DAF

Derry / Londonderry
IT JUST GOT INTERESTING!!! As a person who didn't find a model I liked past Opus 4.6 (except GPT Terra...) Now I have my choice :D
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As if by magic, the normal message of "this new model is great and it has been my daily driver for the last few weeks" - that means the day they shipped Fable 5.2 they changed away from using that model and used this instead.... curious
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Been trying to upload a GitHub Release for about an hour now with no error but it's doing nothing - @githubstatus says there's no issue but their API says otherwise...
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I think I am being dumb - but there's really no built in equivalent of `claude -w` for @opencode ?
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So the majority of coding agents have standardised on AGENT.md and the same skills style - but the way to configure your own settings in them differs wildly :/
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Went to sign up for a Google AI Account and it's so fucking confusing as to what I am paying for. Had I a personal google account and not made my email a workspace account, it would be way more straightforward
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Paul Stack retweeted
Anyone that works in AI is working the hardest they've ever worked in their lives. On the surface it's somewhat ironic (AI should give us back time!), but the reality is that it's the most fun, fascinating and empowering epoch in human history. The intelligence revolution.
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Paul Stack retweeted
however you feel about the reading code debate as an exercise you should try talking to the LLM and see if you can get to confidence about the code without directly reading the code
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I wish I could quantify it and present the evidence but I am pretty disappointed by the trend in the frontier models. They peaked for me at Opus 4.6 - each model after introduces token bloat, incredible cost increases, more verbose output and less good outcomes for me 1/
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I have tried gpt models and they feel incredible slow - people tell me they are blazing fast... my the "feelz" I get doesn't suggest that. As a person who is continually trying to increase my productivity and the efficiency of my software flow, I am definitely concerned. 3/
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I saw some positivity with Google Antigravity (AGY) yesterday and Gemini 3.1-pro but meh I know the people training and creating these models are incredibly smart but, as a user, I feel there's something missing in them right now. Token efficiency is only part of that. YMMV 4/4
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Added support to Swamp today for @AmpCode @pidotdev and Google AntiGravity. The list of native agent integrations is growing :)
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I need to do a comparison of Opus 4.6 price vs Fable 5.1 price - I have not moved because the token bloat of Opus 4.7, 4.7 and 5 were bad for me and not giving good results I did a bunch of work with Fable 5 earlier this week and almost blew my weekly limit...
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TL;DR: If the workload can be handled well by Opus 4.6, it has a substantial cost advantage. Fable 5.1 needs to produce meaningfully better results, require fewer retries/agent steps, or make heavy use of cached context to justify its 100% premium on input and output tokens.
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New model comes out: "This is the best model yet, I use it for everything" Of course you have, you have unlimited credits! I would tell Claude to do every single thing just because I could if I had unlimited tokens!
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All I want to christmas is for @claudeai to follow an AGENTS.md convention to allow my repos to work for all tooling!
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Completely related to my just posted blog post is a conference talk titled: Trust Chains for Agent-Verified Code Coming soon to a conference near you :)
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