The Getty vs Stability AI ruling explained in 15 seconds @WhatsAI

Uploaded December 2025 | Updated September 2026, 2 hours ago

This lawsuit was supposed to decide if training AI on copyrighted data is illegal.
Instead, it gave us something bigger: a reminder that the law still doesn’t know how to handle how AI learns.

The UK court said Stability AI didn’t infringe copyright because the model never stored Getty’s photos. It learned patterns, not pixels.
And whether we like it or not, that’s exactly how humans learn too.

So now we’re left with the real question:
If learning from copyrighted data is allowed… where does learning stop and copying begin?

I’m Louis-François, PhD dropout, now CTO and co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀

#ai #aitraining #stabilityai #short

The Getty vs Stability AI ruling explained in 15 seconds

$Qwen3-Next: 10x faster, 10% cost ! Efficiency breakthroughs don’t come often, but this one looks real! Alibaba just dropped Qwen3-Next-80B-A3B, an 80B MoE model with only 3B active parameters at inference. The result? Really fast generation at 10% of the cost of a small model (eg. Qwen 32B). What’s new here: • Ultra-sparse MoE with 512 experts (Instruct + Thinking variants). • Hybrid attention with a gated mechanism, giving speedups where most models slow down. • Multi-Token Prediction to supercharge speculative decoding. • Trained on 15T tokens at a fraction of Qwen3-32B’s cost. • “Thinking” variant even outperforms Gemini-2.5-Flash-Thinking in benchmarks. • 256K native context (scalable to 1M). Why it matters: This model challenges the efficiency ceiling set by Mixtral and DeepSeek, while rivaling Qwen3-235B in reasoning with only 3B actrive parameters(!!). If these claims hold up outside benchmarks, we’re looking at a new efficiency baseline for frontier open LLMs. Which model do you want me to cover next? Drop it in the comments and I’ll tag you. I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀 #AIresearch #LLMs #ainews #short$

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