Observed Signal · May 11, 2026 · Funding · Source: AI Secret · Impact: 3/5 · Sentiment: Neutral
Chip Makers Back RadixArk $100M Seed Round
AI Secret reports that NVIDIA, AMD, and Intel co-invested in a $100 million seed round for RadixArk at a $400 million valuation; RadixArk operates SGLang, an open-source inference engine reportedly deployed across 400,000+ GPUs and used by major cloud and AI firms. The newsletter also highlights OpenAI’s ChatGPT Futures program (26 builders given $10,000 each and frontier model access), and Anthropic’s unreleased Claude Mythos preview, which reportedly discovered thousands of zero‑day vulnerabilities (including 271 Firefox flaws), prompting calls from US financial regulators to bank CEOs. The items signal shifts in AI infrastructure investment, decentralised inference tooling, and accelerated vulnerability discovery by large models.
Major chipmakers co-investing in a neutral inference-layer company signals meaningful shifts in AI infrastructure and compute economics; combined with Anthropic’s model-driven vulnerability discovery and OpenAI’s developer programs, the developments matter to AI infrastructure and platform strategies across industries.
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Key Takeaways & Evidence Grounding
- RadixArk raised a $100 million seed round at a $400 million valuation backed by NVIDIA, AMD, and Intel.
- RadixArk is behind SGLang, an open-source inference engine reportedly deployed across 400,000+ GPUs and used by Google, Microsoft, xAI, Oracle, NVIDIA, and AMD.
- Anthropic’s unreleased Claude Mythos Preview reportedly found thousands of zero-day vulnerabilities, including 271 Firefox flaws, a 27-year-old OpenBSD bug, and a 17-year-old FreeBSD RCE; US Fed and Treasury officials reportedly called bank CEOs following the findings.
- OpenAI launched its first ChatGPT Futures class, awarding 26 young builders $10,000 each and frontier model access; one participant, Matteo Paz, used ~200TB of NEOWISE data to flag 1.9 million infrared variable objects, including about 1.5 million previously unknown candidates.
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AI chip startups draw record funding amid Nvidia lead
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General Catalyst leads $1.1B into River AI
River AI, a startup founded by xAI co-founder Igor Babuschkin, raised $1.1 billion in a seed/Series A round led by General Catalyst and AMP PBC, with participation from Nvidia, AMD Ventures, Y Combinator, and Temasek. River, which emerged from stealth in June, aims to rebuild the AI stack end-to-end — training, models, product layer, and new hardware — to enable personally trainable AI agents. The company already offers an API billed per 1 million tokens supporting reinforcement learning and LoRA fine-tuning. AMP PBC was founded in 2026 by former Andreessen Horowitz general partner Anjney Midha. River positions its “neocloud” and tooling as enabling enterprises and individuals to train and serve open models with faster RL runs and claimed cost savings versus closed-source alternatives.
AI infra decacorns: Fireworks, Baseten, OpenRouter $113M
Latent Space's AINews roundup (published 2026-05-27) highlights rapid AI infrastructure fundraising and technical trends. The newsletter reports Fireworks and Baseten moving toward decacorn-scale financings (Fireworks cited at ~$15B, Baseten at ~$11B, both described as in-talks/raising). OpenRouter announced a $113M raise and strong production token growth (weekly volume rising from 5T to 25T tokens in six months); coverage notes press discrepancies about whether that round is Series B or Series C. The issue also surveys agent and harness engineering as the key differentiator for coding/ research agents, benchmarks (DeepSWE, Qwen3.7) aligning with developer experience, memory and “sleep”-style consolidation research, optimizer and sparse-attention advances, datacenter power/inference supply concerns, and serving/observability improvements (vLLM Rust frontend, W&B MCP, Cloudflare startups credits). The piece frames routing and multi-model infra as durable platform layers as AI moves from experimentation to production.
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