ianand's Thought Experiment: An AI World Built on the Encoder
On September 20, ianand posted a long thread imagining Jev, an AI model from a parallel universe, using the thought experiment to revisit the encoder/decoder split of the Transformer and explore an alternative AI product form. His bottom line: Jev is not a ChatGPT replacement but another tool in the developer's toolbox, and the whole construct is fiction, not a real product or research.
Confirmed
- Historical background: the 2017 Transformer originally did one thing — translate English to French — consisting of an Encoder (analyzing text) and a Decoder (producing output), the origin of the路线 split.
- Key milestones in our universe: GPT-2 took only the decoder half and proved "all you really need" is four things — the decoder itself, one model handling many tasks, prompting replacing task fine-tuning (which ianand calls the biggest unlock), and scale. These breakthroughs led to today's ChatGPT, Claude and Gemini.
- Setup of the experiment: in Jev's parallel universe there was no GPT-2 moment; all technical and product innovation went to the Encoder side, producing Jev — faster, more predictable, more reliable, but not generative: it cannot write code or chat and can only make decisions.
- ianand describes Jev as giving the Encoder a ChatGPT-grade product form, complementary rather than a strict substitute.
Unconfirmed
- ianand himself concedes we don't know whether Jev would truly be an Encoder underneath, and that decoder-style self-supervised training scales more easily — perhaps humanity was destined to build ChatGPT first. The entire Jev premise is speculative fiction.
Why it matters
- The thread offers a lens on today's AI landscape: conversational generative AI is not the only possible path but the outcome of the decoder route plus prompting and scaling. Counterfactual reasoning helps separate essential breakthroughs from path dependence.
2026-09-20 ~ 2026-09-20 · 9 related posts
- Episode 1: Independent researcher says Jev is no breakthrough: he open-sourced a similar non-autoregressive decision model a year earlier(2026-09-20, 6 posts)
- Episode 2: ianand's Thought Experiment: An AI World Built on the Encoder(2026-09-20, 9 posts)
- Episode 3: Ex-OpenAI Founder Says RLHF Is a Detour, Human-AI Collaboration Era Ending(2026-09-20, 3 posts)
- Episode 4: Ex-OpenAI researcher launches decision model Jev with bold speed claims(2026-09-21, 36 posts)
- Episode 5: Jev: A Decision-Only AI Model Returns Probabilistic Answers in 200ms(2026-09-21, 2 posts)
- Episode 6: Decision Model Jev Opens to All, Developers Compare Buzz to GPT-3.5 Launch Week(2026-09-21, 2 posts)
- Episode 7: Jev model shines in tool use, lags in reasoning and retrieval(2026-09-22, 2 posts)
- Episode 8: Jev Model Sparks Debate: A Dedicated Decision Layer Beyond LLMs(2026-09-23, 4 posts)
- Episode 9: Decision-Only Model Jev Goes Viral as a Cheaper DeepSeek-Style Threat(2026-09-23, 3 posts)
- Episode 10: Ex-OpenAI researcher launches Jev, a non-text "System One" decision model(2026-09-23, 12 posts)
- Episode 11: TypeSafe's Jev Decision Model Sees Fastest Adoption, Sparks Open-Source Agent Ecosystem(2026-09-24, 5 posts)
Primary sources
- [source] ianand's thread: Jev, an Encoder-based AI model from a parallel universe — ianand · 2026-09-20
- Back to 2017: the Transformer was born to translate English to French — ianand · 2026-09-20
- GPT-2's 'all you really need': the decoder, prompting, and scale — ianand · 2026-09-20
- ChatGPT, Claude, Gemini all descend from GPT-2's decoder-only line, ianand explains — ianand · 2026-09-20
- [source] The parallel universe with no GPT-2 moment where innovation went to the Encoder — ianand · 2026-09-20
- A parallel universe where AI innovation went to the Transformer encoder instead — ianand · 2026-09-20
- In Jev's parallel universe, AI is faster and reliable but only makes decisions — ianand · 2026-09-20
- ianand: Jev isn't a ChatGPT replacement but a new 'decision AI' tool for devs — ianand · 2026-09-20
- [source] ianand: Jev gives the Encoder a ChatGPT-equivalent product surface — ianand · 2026-09-20