1. The AI Dermatologist You Didn’t Know You Needed
What happened: A 10-year-old CNN (convolutional neural network) is outperforming the latest and greatest LLMs in diagnosing skin cancer.
Why it matters: It turns out that fancy, expensive models aren’t always the best for every job. This could be a game-changer for healthcare AI, proving that sometimes, simpler is smarter—and cheaper.

2. The Great LLM Price Drop: A Race to the Bottom?
What happened: OpenAI and Anthropic have slashed their LLM prices by up to 80% in just a few months.
Why it matters: This price war is great news for businesses and developers looking to leverage AI without breaking the bank. But it also raises questions about the sustainability of AI development and the true cost of these models.

3. IBM’s Bold Bet on Open Weight Models
What happened: IBM’s CEO announced that open weight models are now both high-quality and affordable for on-premises use.
Why it matters: This could be a game-changer for companies wary of cloud dependency. With open weight models, businesses can enjoy the benefits of AI without surrendering their data to the cloud, offering a new level of control and privacy.