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How Big Tech’s liability paranoia is turning creative AI tools into overcautious censors
Samsung’s Tiny Recursive Model with microscopic 7M parameters beats massive LLMs on reasoning tasks, challenging the ‘bigger is better’ dogma.
GitHub, Google, and Anthropic are betting big on terminal AI assistants. But which CLI actually delivers on the promise of AI-driven development?
PaddleOCR-VL delivers SOTA performance with 80x fewer parameters than competitors, redefining OCR capabilities
How a government-backed AI assessment framework ignited controversy over bias, security, and the future of global tech standards.
SWE-rebench results reveal Claude’s decisive 55.1% pass@5 advantage and unique bug-fixing capabilities that left OpenAI’s flagship coding model behind
Alibaba’s Qwen3-VL 4B/8B models deliver enterprise-grade vision-language AI that runs locally on consumer hardware via GGUF, MLX, and NexaML.
REAP pruning outperforms merging in MoE models, enabling near-lossless compression of 480B giants to local hardware
Microsoft’s UserLM-8b flips the script by training AI to think like messy, inconsistent humans instead of perfect assistants.
Tracing the historical pattern of wealth-creating industries from oil to AI, and speculating on what comes next when the bubble bursts.
Meta’s new 1B foundational model outperforms Gemma and Llama benchmarks while fitting in your pocket. But is distilled intelligence the future?
Leaked documents reveal Amazon’s systematic plan to eliminate human labor through robotics, while carefully managing the public relations fallout.
