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For years, the architecture powering ChatGPT, Claude, and other large language models has followed a well-trodden path: auto-regressive transformers that predict words sequentially, left to right. But a Silicon Valley startup’s unconventional approach—borrowing techniques from image generators like Stable Diffusion—could rewrite the rulebook for AI text generation.

If you've spent time on AI music platforms like Suno or Udio, you’ve likely noticed their Achilles’ heel: Most struggle to generate tracks longer than two minutes without losing coherence. That limitation may soon feel quaint. A new open-source model called DiffRhythm promises to generate 4 minute

Imagine a world where an AI can look at a street sign in Cairo, read it aloud in Arabic for a tourist while translating to Spanish, then instantly spot an approaching taxi cab through your smartphone camera. That future just edged closer with Aya Vision – a new family of open-weights

Watch the stream here! The internet has a long history of tweaking Pokémon’s formula to create chaos. Like Twitch Plays Pokémon’s 2014 crowd-controlled madness, projects that pit non-human intelligence against Nintendo’s iconic RPG have become a cultural mainstay. Now, Anthropic’s Claude 3.7 Sonnet has entered

Click here to demo Sesame's Conversational AI Preliminary testing on my part made me have goosebumps talking to this AI. So much so that I'd urge you to try it for yourself. I'm writing this article knowing that it's way better than

Yikes. Though, if its creative ability are of the same 'magic' as Claude 3 Opus, perhaps it can justify its pricing and lukewarm benchmark results. At least a little bit. OpenAI’s latest large language model, GPT-4.5, has landed with promises of improved efficiency and broader knowledge—

If you’ve ever tried to extract clean, readable text from a PDF—whether it’s a scanned historical document or a modern, multi-column academic paper—you’ve likely felt the unique frustration of wrestling with jumbled paragraphs, fractured tables, and phantom line breaks. Now, an open-source tool called olmOCR

For years, the AI world has operated under one fundamental assumption: that large language models must predict text sequentially, word by word, to achieve human-like capabilities. A groundbreaking new study challenges that paradigm through an unlikely contender – a diffusion model called LLaDA that generates text through iterative refinement rather than

Compact AI with a punch: Phi-4-multimodal and Phi-4-mini bring enterprise-grade smarts to edge devices. Microsoft has unveiled two new additions to its Phi family of small language models (SLMs)—Phi-4-multimodal and Phi-4-mini—that aim to disrupt the assumption that AI capability scales with parameter count. Clocking in at just 5.