OpenAI’s 10 GW ASIC Alliance: Escaping Nvidia’s 75% Margin
OpenAI and Broadcom booked TSMC 3nm/2nm capacity for a 10 GW inference ASIC deployment by 2029. Here is the CoWoS math, Ethernet fabric, and 60% TCO savings.
EyesTech: Frontier AI, Silicon & Defence Technology
Independent analysis, benchmarks, and field intelligence on AI models, chips, computing, and defence systems.
Claude Haiku 5.5: Inside the 100K Token Pricing Cliff
Anthropic’s Claude Haiku 5.5 pairs a 1M context with a 5x cost surge at 100k tokens. Here is the worked math on subagent loops, cache reads, and compaction.
Microsoft-Decision-1: 9B Cloud Model in a 35ms Local World
Microsoft-Decision-1 brings 85ms scoring to Azure for $0.042/1M tokens, but WAN transit taxes and 0.4B local models challenge its agent control plane.
Why Claude Haiku 5.5 Beats GPT-6 Luna in Agent Swarms
In autonomous agentic coding, the most expensive mistake is assigning frontier reasoning models to operational plumbing. On local developer machines, multi-agent swarms look effortless in…
The Pathology of AI: Neural Illness & Harness Compromise
Can AI get sick? A systems audit of neural weight decay, somatic harness compromise, and prompt worms—and why frozen LLMs cannot catch prompt viruses.
Gemini Carbon Leak: Inside Google’s Jetski Test vs Opus 5.5
Google is testing an unreleased Gemini 4 checkpoint codenamed Carbon on its internal Jetski platform. Leaks report coding capability rivaling Claude Opus 5.5.
AI Materials Discovery: Real Results and Physical Limits
What GNoME, MatterGen and A-Lab have demonstrated, why superheavy elements remain experimental, and where industrial and planetary defense claims exceed evidence.
Limite 1B Violetto: Strong Math, Weak Chat
Paradigma reports 94.01% on AIME 2026 for its 1B math model. Off-scope failures and specific prompt and runtime requirements define its practical use.
Cloudflare Clef: Image Decisions and API Limits
Cloudflare Clef scores typed choices from text and images. The 27B model costs $0.24 per million input tokens; hosted image limits and latency need a close look.
FrogNano’s 4B Coding Agent Depends on Its Five-Tool Harness
Microsoft reports 61.5% on SWE-bench Verified for FrogNano 4B. A five-tool agent interface accounts for a large gain, with cost and licensing caveats.