OPENAI : GPT-5.5 and a bunch of internal model names have been spotted on Codex recently, and this normally signals that OpenAI is preparing to release a new model. – oai-2.1
– arcanine
– glacier-alpha
– glacier-alpha-block-cy4
– glacier-alpha-block-cy3 Soon h/t
LLMS
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@testingcatalog — 2026-04-22
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Anthropic Removes Claude Code from Pro Plan, Raises Price to $100
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🚨 Anthropic quietly pulled Claude Code from the Pro plan.
— Charly Wargnier (@DataChaz) 22 avril 2026
Now everyone needs Max.
$100/month minimum.
5X jump.
Anyone Clauding right now: https://t.co/uAds8vBAG0 pic.twitter.com/2hfD5Px7NPAnthropic quietly pulled Claude Code from the Pro plan. Now everyone needs Max.
$100/month minimum. 5X jump. Anyone Clauding right now: -

User Frustration Over ChatGPT’s Declining Performance
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ChatGPT is getting SO DUMB it’s turning me into an a**hole
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AI’s Pacing Limitations in Creative Writing Discussed
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Also agree with this. AI's ability to do consistent pacing is a problem. Here, the poem anchors enough of the comic that it is okay, but static, though with a few good moments. But fiction writing and good pacing remain challenging:
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The Underestimated Power of Running AI Models Locally
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People seriously underestimate the importance of being able to run their models locally
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Claude Hits Free Limit Right After Prompting User to Start
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Claude: Just say the word and I’ll generate the code me: Go Claude: You’ve reached your free limit
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GPT-ImageGen-2 Creates Comic from Tennyson’s Ulysses in One Shot
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GPT-ImageGen-2 did this in one shot, with just the prompt "turn all of Tennyson's Ulysses into a comic, across as many pages as needed. make it great, include the full text" 10 pages, though it did use what seems to be the ImageGen-2 's preferred "spackled drawing" style 1/
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OpenAI Internal Models Leaked, GPT-5.5 Release Imminent Thursday
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All of OpenAI’s internal models accidentally leaked within codex. GPT-5.5 release imminent, pretty save to say it’s coming Thursday
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Hermes Agent Features Learning Loop and Persistent Memory
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Yes, mostly. Hermes Agent already has a built-in “learning loop” that creates/refines skills from tasks and keeps persistent memory for self-improvement.
