Rio de Janeiro AI model dey claim say e beat DeepSeek, but Nex show say na weight merge be that
Rio de Janeiro municipal IT agency (IplanRIO) release "Rio 3.5 Open 397B" on June 13, dem claim say na government build frontier AI model and seh dem win benchmark pass models like Alibaba’s Qwen and DeepSeek. Dem report say e get 70.8% for Terminal-Bench 2.1 and 89.5% for IMOAnswerBench.
Open-source alliance Nex (Nex-AGI) come contest di attribution. Nex publish weight-analysis maths weh claim say Rio 3.5 na basically direct merge: Rio 3.5 ≈ 0.6 × Nex N2 Pro + 0.4 × Qwen 3.5. Nex still do behavioural tests by comot identity system prompt; di model reportedly identify itself as "Nex" much more than "Rio," an e reportedly repeat Nex-specific backstory data.
After di dispute, IplanRIO update di Hugging Face model card, remove di benchmark emphasis, an give credit to Nex. Di city say di earlier release mistakenly upload di raw merged base instead of di intended "on-policy distillation" final version. For short, public story shift from "publicly funded, independently trained" to "an uploaded merge with an attribution/process error."
For traders, di case be reputational/credibility shock for open-weight AI claims, but e no immediate protocol or token-security event for major crypto markets.
Neutral
Di news na be about AI model provenance and benchmark claims, no be crypto-native trigger (no token exploit, protocol change, or regulatory action wey fit affect liquidity). E fit still cause short-term sentiment noise around “AI progress claims,” just like previous open-model attribution wahala wey cause reputational backlash for headlines but no really change on-chain fundamentals. Traders normally dey react to direct market catalysts (security incidents, major listings, ETF/regulatory shocks), no be technical dispute for model cards — so immediate price impact for major crypto assets likely go small.
For short term, expect mainly narrative-driven volatility only for AI/tech-adjacent sentiment if any crypto-themed AI narratives dey. For long term, main takeaway na credibility and sourcing for AI supply chain; e fit influence how investors value AI infrastructure companies/projects, but e no suppose destabilize market structure. Net effect: neutral.