The Clean Power Revolution That Could Redefine Our AI Future
Anthropic launches "Cowork" to turn Claude into an autonomous desktop file-manager
Elon Musk wins a major court ruling to take OpenAI to court
Anthropic targets a staggering $350B valuation in its latest funding sprint
Massive spend, real traction—while NVIDIA conversely quietly pulls the plug on Omniverse Cloud.
NVIDIA’s new open reasoning model dominates CES, aiming to bring human-level judgment to autonomous systems.
Microsoft faces a “Microslop” revolt, while OpenAI’s Gumdrop pen points toward ambient computing done right
What today’s AI systems still can’t do, and why it matters.
Humanoid Walker S2 units begin 24/7 border patrols with self-swapping batteries and no human operators
The AI that doesn’t assist research, it conducts it
A $2B+ agent acquisition lands just as ChatGPT 5.2 Pro breaks records on FrontierMat, signaling where the AI arms race is headed.
Beijing abandons benchmark chasing in favor of a nationwide AI deployment push across six strategic sectors
By licensing the tech, NVIDIA neutralizes a rising inference threat without buying it—while China moves to curb strategic AI over-dependence.
The year AI became operational, shifting from answering questions to executing end-to-end work through persistent, reasoning-first agents.
ChatGPT’s "Ad Era" begins as OpenAI prototypes sponsored results and sidebar links to monetize intent.
Poetiq shatters the ARC-AGI-2 record with a 75% public eval score, proving that a high-efficiency reasoning "harness" can outperform raw model scale at a fraction of the cost
z.ai releases GLM-4.7, the first open-source model to crack the 70% mark on SWE-bench
Why photonic chips could take on Nvidia and be the next key AI accelerator layer
How pragmatism replaced doctrine and rewired a revolutionary state for global dominance
Record $3B in mobile revenue signals a turning point for AI-driven productivity at scale
Their playbook: ubiquity beats novelty, moving the center of gravity outward again
What happens now that OpenAI’s image models are built to follow iterative instructions, rather than aiming for one-shot ‘wow factor’ miracles.
What a million-token context changes for real agents, real workloads, and real costs
“AI assistance” quietly morphing into job replacement.
The future of AI hinges on infrastructure, state coordination, and hard limits, no longer mainly code.
