Cohere

Token Apocalypse Sparks Shift to Open-Weight AI Models

The article argues June–July 2026 marked a turning point for generative AI: U.S. government restrictions on Anthropic’s Mythos-class models (June 12) and a February Pentagon supply‑chain designation undermined trust in closed‑source frontier models, driving enterprises to lower‑cost open‑weight alternatives (many from China). High inference costs from “tokenmaxxing” and rising Claude bills prompted token rationing and a surge in routing to cheaper models. Simultaneously, hyperscalers and new entrants (SpaceX, Meta, SoftBank, Google with Blackstone/TPU Cloud) are racing to commercialize large-scale compute (“Neo Cloud”), intensifying competition. Model releases such as Zhipu GLM 5.2 and rising LLM volumes (JPMorgan: +70% May→June) changed economics around per‑token costs. The piece warns these dynamics could slow ARR growth for closed providers (Anthropic, OpenAI) while boosting open‑weight model makers and sovereign/sovereignty‑focused partnerships (e.g., Palantir–Nvidia).

Cohere Releases Aya 23 Multilingual Open-Weight Models

Cohere released the Aya 23 family: instruction-tuned, decoder-only open-weight models in 8B and 35B parameter sizes focused on 23 languages. Built on Cohere's Command series and fine-tuned on the Aya Collection dataset, Aya 23 aims to provide high-performance multilingual capabilities as an open baseline for researchers and developers. The weights are available on Hugging Face under a CC-BY-NC license (non-commercial). The 8B model targets accessibility on consumer-grade hardware, while the 35B model offers stronger performance and reportedly outperforms several popular open models on multilingual benchmarks. The release is positioned as an alternative to closed APIs and English-centric open models for global applications.

Macron and Modi court tech CEOs for AI investment

French President Emmanuel Macron and Indian Prime minister Narendra Modi have personally ramped up outreach to major technology CEOs to secure large-scale AI investments. France has persuaded SoftBank’s Masayoshi Son to commit to multi‑billion euro AI data center projects (SoftBank announced plans for 3.1 GW in France by 2031 as part of a 75‑billion‑euro program). India hosted a Global AI summit and welcomed major commitments from hyperscalers, including Amazon’s record $48 billion investment in India (about $21 billion for AI and cloud infrastructure), Microsoft’s largest investment in Asia, and Google’s multibillion plans. India is also pursuing semiconductor capacity (ASML agreed to supply lithography tools for a 300mm fab with Tata Electronics). The diplomatic push aims to attract cloud, data‑center and chip investments to build national AI infrastructure as the U.S. and China remain ahead in the AI race.