This is when you trash the context window as it has been con...

npub12262qa4uhw7u8gdwlgmntqtv7aye8vdcmvszkqwgs0zchel6mz7s6cgrkj
hex
6f6ff3494e5c5ea49f85b224daee89967c8936e0134f691c87571ba39b9123fenevent
nevent1qqsx7mlnf989ch4yn7zmyfx6a6yevlyfxmspxnmfrjr4wxarnwgj8lsprpmhxue69uhhyetvv9ujuem4d36kwatvw5hx6mm9qgs99d9qw67th0wr5xh05de4s9k0wjvnkxudkgptq8yg83vtulad30g0jxer0Kind-1 (TextNote)
↳ Reply to HaloKat (npub1r0rs5q2gk0e3dk3nlc7gnu378ec6cnlenqp8a3cjhyzu6f8k5sgs4sq9ac)
Me: let’s refactor AI: done Me: but this is barely refactored, you didnt do much AI: you’re right, we can do better. Getting lazy on me!
This is when you trash the context window as it has been contaminated.
Also if this is happening set your thinking level to high (not xhigh), as especially Codex has a tendency to be lazy at medium/low thinking for some reason. (Probably RL caused)
I have a simple benchmark, ask the model to create 100 image files. Then ask it to read one by one in parallel to its context window.
Medium thinking will say “I can’t load all of those”, high will happily do it
Raw JSON
{
"kind": 1,
"id": "6f6ff3494e5c5ea49f85b224daee89967c8936e0134f691c87571ba39b9123fe",
"pubkey": "52b4a076bcbbbdc3a1aefa3735816cf74993b1b8db202b01c883c58be7fad8bd",
"created_at": 1777560714,
"tags": [
[
"e",
"19913654bdadbfb3e56260b6034204407b26393c4f1f54c2b59d175ddde1ef44",
"wss://aggr.nostr.land",
"root",
"1bc70a0148b3f316da33fe3c89f23e3e71ac4ff998027ec712b905cd24f6a411"
],
[
"p",
"1bc70a0148b3f316da33fe3c89f23e3e71ac4ff998027ec712b905cd24f6a411"
]
],
"content": "This is when you trash the context window as it has been contaminated.\n\nAlso if this is happening set your thinking level to high (not xhigh), as especially Codex has a tendency to be lazy at medium/low thinking for some reason. (Probably RL caused)\n\nI have a simple benchmark, ask the model to create 100 image files. Then ask it to read one by one in parallel to its context window.\n\nMedium thinking will say “I can’t load all of those”, high will happily do it",
"sig": "7975c0d2a3391bf0bf3253d4638689be8297309b161bf424d2a909b7c9297e7c0b0736539ff12d4094af2034d98ee53959f9a1d6013b872f0ada52c78e1e2e8a"
}