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Main Channel t.me/blockchain_lobsters
hook chat-GPT web interface into github, have it review and plan using the web-based Pro model, then use codex to implement, commit, etc
Claude/Kimi/whatever can review code/PRs, call out discrepancies if needed (two 'brains' being better than one), but you can save massive amounts of Codex tokens by splitting work between the GPT web interface and the desktop/Codex app.
you can also have fable delegate to opus 5, since they are almost two usage lanes
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what tasks? what context size etc? for me its still much more efficient to use fable than the other models. you got any tooling around your usage, or just rawdogging it?
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havent gone back to fable yet as it nuked my token limit in like 30 min lmao
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OPUS 5 for planning and implementation, Codex as the Software Engineer is how i set it up.
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Hey shit how they changed the subscription tier to access it tho
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Am i the only person who uses codex and finds it very good bang for my buck?
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It sucks compared to the other models, in the sense that it writes very shit code but everything is so much faster that it doesn’t matter
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Anthropic lately changed tokenizer and I also feel this way. Been playing with Grok 4.5 and Qwen 3.8 Max as Opus/Fable replacements
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But I’m physically in Europe but I passed KYC on my UA passport can bought
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and anyone else not being able to onramp any cash via cards in EU rn?
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anyone see someone actually using te Privy Account linked card thingy?
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I use sonnet 5 xhigh and have to call fable 5 and opus 5 subagents to see where they disagree or catch different things. Then sonnet synthesizes.
I'm not convinced any of these models are that much different from each other besides costs. If you do most of the mental work they can all handle grunt stuff. If you don't want to do the mental work, well that's just kicking the can cause you'll end up having big slop to review otherwise.
I use fable 5 at high or medium reasoning effort for planning/reviews/specs and delegate tasks to gpt 5.6 sol
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idk how any of yall are using Fable, we burn through tokens like zap
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Codex is the best quality atm, grok is nice for speed/cost/quality balance from what I have heard.
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kimi v3 is super fast but then seems to get super slow if you use it a lot
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Pics will be updated closer to Devcon + huge ecosystem map (3 by 2 meters).
For now -> list within the fileverse ddocs + git later
Okay, a bit off topic but anyone else feels like they have started skimping on the Max/Pro subscriptions for both ChatGPT and Claude? I can't tell if this is because the newer models are eating through tokens in their thinking blocks or because they have actually reduced the limit.
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