Web search is coming to IO Chat. 🔜
Ask about today — not just training data. IO searches the live web, then forgets it did.
→ Flip search on — IO pulls fresh results and cites every source inline.
→ Redact-before-query — secrets are stripped before the search ever runs.
→ Routed through our own search server — no search vendor, no profile, no ad-tracking. We log nothing.
→ Bring your own — point search at your own endpoint in Settings. Your search, your rules.
→ Same core: zero retention, signed receipts, your identity never reaches the engine.
The live web, on your terms. Private by architecture.
Input. Output. Nothing. And we prove it.
https://t.co/2JGftbM26G
How we finetune models at IO. 🧬
We tune open weights to IO's privacy doctrine — and never on a single line you typed.
→ We start from open weights — Kimi, GLM, Dolphin — and finetune them in-house, on GPUs we own. The training never leaves the box.
→ The data is curated and public, paired with our own boundary policy. Your prompts are categorically excluded — they were never stored, so there's nothing to train on.
→ We tune for behavior, not surveillance: honor redaction, refuse to retain, emit a clean receipt, stay sharp on code and reasoning.
→ The checkpoint is sealed and served with vLLM / SGLang — and the receipt names the exact tuned model that answered, under policy `io-boundary-0.3`.
→ Most providers finetune ON your conversations. We finetune so the model forgets yours by design.
Open weights, tuned for privacy. Trained on everything except you.
Input. Output. Nothing. And we prove it.
https://t.co/2JGftbMzWe | @Kimi_Moonshot
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It lets you go long or short on what AI compute will cost tomorrow.
Lock in @deepseek_ai . Lock in Llama. Lock in gpt , Gemini, Claude . Speculate on the spread.
@solana_ai@solana@autonai_sol