
DeepSpec: DeepSeek Open-Sourced the Inference Cost War
DeepSpec turns speculative decoding from a hidden serving trick into an open training stack, with DSpark claiming 60% to 85% faster V4-Flash generation.

DeepSpec turns speculative decoding from a hidden serving trick into an open training stack, with DSpark claiming 60% to 85% faster V4-Flash generation.
Fast reads on model releases, compute strategy, policy pressure, and the companies fighting over the AI stack.

iOS 27 makes Siri AI a private system agent, not just a smarter assistant. Apple's update ties app actions, Camera mode, speed gains, Liquid Glass, and the EU delay into one AI control-plane strategy.

NVIDIA's GTC Taipei at COMPUTEX 2026 was not a normal product keynote. It was a full-stack argument for AI factories, Windows-native agents, Taiwan manufacturing, and physical AI.

Liquid AI's LFM2.5-8B-A1B shows why the small model race is moving from parameter count to active compute, memory bandwidth, local runtimes, and the devices that can run agents at the edge.

World models began as Schmidhuber's curiosity-driven controllers. Genie 3, DreamerV3, GAIA-1, GameNGen, V-JEPA, and open-ended play show why simulation is becoming AI's next platform layer.

Sakana AI and NVIDIA's TwELL shows why sparse LLMs were not blocked by theory. They were blocked by GPU execution economics.

RLMs treat prompts as environments, not inputs. The MIT paper behind Recursive Language Models, the REPL execution loop, and why the AI industry is adopting it.

From a $1B nonprofit pledge to a $300B for-profit empire: the decade-long origin story of OpenAI, from founding through ChatGPT to $12B in annualized revenue.

Qwen3.5-397B-A17B scores 88.4 on GPQA Diamond at $0.60/M, yet was absent from Anthropic's distillation report. That absence explains more than the names that were included.

Anthropic named DeepSeek, Moonshot, and MiniMax for industrial-scale Claude distillation. Evidence is real, but calling it an 'attack' ignores how AI was built.

Anthropic was mocked as the AI company that couldn't ship. Claude 2 was the punchline. Four years later, they own enterprise AI at a $380B valuation.

Google doubled ARC-AGI-2 from 31% to 77% in one update. Gemini 3.1 Pro leads 13 of 16 benchmarks at $2/M tokens, undercutting Claude Opus 4.6 by 60%.

Claude Sonnet 4.6 is the new claude.ai default - preferred over Opus 4.5 59% of the time, with 1M context and $3/$15 per million tokens.