anthropic really put fine print on a free reset
5h limit resets, but only fable usage gets wiped from your weekly total
resetting the whole counter might bankrupt them lmao
@JamesMalsawm paying for 6 ai subs across different providers rn and it’s always some bullshit
one day they’re messing with the limits, the next they tweak a config and your model wakes up lobotomized
@proximalcoast my chatgpt dot spent 2 weeks playing email ping pong with bybit’s bot over my locked account
asked it to find emails for actual humans in compliance instead
sorted in 2 days lmao
turns out the cheaper model caught 45% more prompt injections
ran 391,678 requests across 8 Jev-models for $49.62
Perplexity Decider 1.2 was 5.4x cheaper than jev 1.13, but had 80 false positives vs 0
Jev 1.14 still wins on long inputs tho
would you ship one model or route between them?
A research/review of how to fix common agentic issues with architectural tricks:
- early failure
- hand-off efficiency
- noisy context
- more agents same miss-takes
- big context
- LLMs tend to agree
- faster/cheaper
- learning https://t.co/hvzobBxcK3
@eliadele been using @orca_build for 3 months, best agent IDE imo
project folders, 1-click Linear/GitHub issues, worktree delivery, browser, mobile emulators, easy multi-sub switching
custom orchestration lets agents monitor workers live and redirect bullshit mid-task
@724real in some of our projects, we stopped stuffing the entire chat history into context and switched to background memory updates that extract key facts instead
cheaper, faster, and in some cases we’re seeing up to 2x faster responses
opus has an insanely good design harness and is great at orchestration too
but let it write code on its own and it’ll happily leave shit unfinished, then confidently tell you “all done bro”
that’s why you absolutely need codex for code review, it always catches something opus missed