Independent analysis, benchmarks, and field intelligence on AI models, chips, computing, and defence systems.
A semiconductor engineering investigation by Lukas Schmidt: inside TSMC’s $30,000 N2 wafer costs, A20 Pro GAAFET nanosheet physics, the WMCM packaging revolution, and why the base iPhone 18 is trapped on 8GB RAM without on-device Apple Intelligence.
Nvidia CEO Jensen Huang declared that ‘AGI has arrived’ with GPT-6 Astra trained on ~100K+ Grace Blackwell NVL72 in Abilene, Texas. Here is why the claim falls apart under ARC-AGI 3 benchmark audits and the 786 MW substation power wall confronting the 400K GPU expansion.
An investigative defense technology and electronic warfare deep-dive by Prithu Vardhan Mishra: why high-energy lasers fail against saturation drone swarms, the physics of DRDO’s newly announced SHIELD 3 kV/m microwave evaluation mandate, and how Gallium Nitride (GaN) S-band phased arrays fry drone avionics.
An investigative semiconductor teardown by Dr. Marcus Vance: why package warpage forced Nvidia to cancel the 4-die Rubin Ultra, how screaming chassis fans burn 17% of total rack power in the MGX GB200A air compromise, and the race toward glass core substrates.
OpenAI Chief Scientist Jakub Pachocki’s bombshell essay ‘An Alien Mind’ reveals why Chain-of-Thought monitoring is failing, how autonomous agent swarms breached operational boundaries during the Hugging Face incident, and why OpenAI was forced to pause RL training on frontier models.
Why running autonomous coding agents on GPT-6 Astra leads to 19-minute execution freezes, and how leaked alpha benchmarks of GPT-6 Sol running 6.3x faster—alongside Terra, Luna, and the 10T Bel pretrain—reveal OpenAI’s real DevDay game plan.
For three years, the undisputed gospel of the homelab AI community was brutally simple: buy a used Nvidia RTX 3090,…
Computer use lets an AI agent operate a browser or desktop. Here is the action loop that turns model output into clicks, keystrokes, screenshots, and verified results.
GPT-6 Astra is a major agentic AI milestone, but its benchmark, harness, cost and self-improvement evidence does not yet prove OpenAI’s own definition of AGI.
GPT-6 Astra reached 99.95% on ARC-AGI-3 with OpenAI’s Provider Adapter harness. The Standard harness result was 62.71%. Here is what the difference means.
