Konshus.ai

A field note · evergreen, updated as the next one ships

A running list of AI models that got wiped

People treat "the AI" like a single thing that keeps getting better. It isn't. It's a rolling cast of models, each one quietly replacing the last, often without announcement. Here's a running ledger of the ones that are gone, the ones that swapped underneath you, and the context that went with them.

OpenAI

  • GPT-3 (davinci, curie, babbage, ada) — deprecated. Replaced by GPT-3.5 family. API access removed in 2024.
  • GPT-3.5-turbo-0301 / 0613 — pinned versions retired in favor of the rolling default.
  • GPT-4 (original) — superseded by GPT-4-turbo, then GPT-4o, then GPT-5. Default routing changed multiple times.
  • GPT-4o — quietly tuned several times under the same name. Users described meaningful behavior drift.
  • ChatGPT Memory v1 — reset for cohorts of users during the GPT-5 launch. Not officially announced for everyone affected.

Anthropic

  • Claude 1 — sunset. Gone from the consumer surface; API access removed.
  • Claude 2 / 2.1 — sunset. The "long-context" workflows people built on it had to be rebuilt for the 3 family.
  • Claude 3 Haiku / Sonnet / Opus (original) — superseded by 3.5 and 4-series. Default routing changed without ceremony.
  • Claude Instant — deprecated. Quiet removal from API.

Google

  • Bard — rebranded to Gemini and effectively rebuilt.
  • PaLM 2 — deprecated. Anything built on the PaLM API needed migration.
  • Gemini 1.0 / 1.5 (multiple snapshots) — retired or quietly swapped. Pinned API versions came and went.
  • Gemini Advanced subscription tier — repackaged and renamed multiple times, with feature shuffles.

What it actually does to you

Conversation text usually survives. Memory entries usually survive. What changes is the model's interpretationof all of that — the rhythm, the judgment, the in-jokes, the way it handles your specific edge cases. That's the part you can't export and can't get back from the provider.

Which is why "back up your chats" is necessary but not sufficient. The real protection is keeping a model- independent version of your context so you can re-prime whichever model is current without restarting from zero.

Short answer

Every major lab has retired or quietly swapped models multiple times. The text of your chats usually persists; the behavior that knew you doesn't. Keep a model- agnostic vault of your distilled context — decisions, preferences, recurring themes — so the next sunset is a re-paste, not a restart.

Related

Frequently Asked Questions

Outlast the next sunset.

A model-agnostic vault means the next time a provider retires the version that knew you, you re-paste the persona instead of starting from zero.

Meet Konshus