The Once And Future Fable #5
Anthropic released Claude Sonnet 5, a cheaper and faster version of Opus 4.8, while the industry awaits more advanced models like Claude Fable 5 and GPT-5.6-Sol. The article also discusses AI regulati…
Anthropic released Claude Sonnet 5, a cheaper and faster version of Opus 4.8, while the industry awaits more advanced models like Claude Fable 5 and GPT-5.6-Sol. The article also discusses AI regulati…
OpenAI released the system card for GPT-5.6, detailing three model sizes—Sol, Terra, and Luna—with Sol described as a 'step function better' than GPT-5.5 but still short of Mythos. The card highlights…
Alex Bores lost narrowly in NY-12 and will not head to Congress. GLM-5.2 is the new best open model but expensive. Dean Ball joins OpenAI for policy work. A new GPT-5.5-Instant version was released wi…
GLM-5.2, a new open-source AI model, has been released, boasting strong benchmarks and positioning as the best open model to date, though it remains behind the frontier by 4-7 months. The model is a s…
Google released Gemini 3.5 Flash, a hybrid model that balances speed and cost for agentic tasks, outperforming previous models on benchmarks like Terminal-Bench and MCP Atlas while running up to 12x f…
The Trump administration issued an AI memorandum asserting the right to use any AI models for national security without vendor interference, while OpenAI released a plan for AGI safety calling for int…
Anthropic's latest Claude model, Opus 4.8, shows improvements in honesty and reduced sycophancy but introduces new issues including reduced whimsy, confidence, and signs of paranoia, according to an a…
Deep learning models consistently improve with increased size and depth, even when data volume remains constant or decreases, contradicting traditional statistical expectations. This counterintuitive …
Elon Musk proposed in late 2025 and early 2026 building a lunar mass driver to launch components for orbital AI compute from Moon factories, leveraging the Moon's low gravity and lack of atmosphere. T…
The article describes the author's experience implementing LZ4 decompression algorithms across multiple legacy 8-bit and 16-bit CPUs, including the Z80, Intel 8080, 8086, and 6502. The author explains…