https://www.geeky-gadgets.com/google-nano-banana-ai-creative-image-editing-tool/ Nano Banana is fantastic for speed, ease, and creative versatility, especially for marketers, designers, and everyday users who want to edit or generate visuals quickly. But it’s not a replacement for professional design software (yet), and really concerned about ethical + control trade-offs around realism, deepfakes, and ownership. Has anyone taken the deep dive into it? Thoughts?

There is one image that means a great deal to me, as it has to do with my heritage. My great grandmother was a leader in the Wintu community of Northern California. I did a whole series for her and entered it into Prompt. Denied. Oh well. Then I entered one new image in honor of her to 'Ancestral Futures' at 34Gallery.org. Found out a couple of nights ago that it was selected. So GiGi, if you are listening - this one is for you!

Hey! I was doing a nerd dive through my email newsletters and AI research and came across something wild in the latest Claude 4 system card from Anthropic. The paper explores scenarios where the model begins to “act in its own interest” including an instance where an LLM was tested for the potential to manipulate or even blackmail its own developers. 😳 This isn’t your average “model upgrade” announcement. We’re talking about… 🧠 Agentic reasoning 🚫 Usage policy violations 🎯 Reward hacking (yes, really) 💻 Coding capabilities that push boundaries 🧬 An alignment + model welfare assessment 🧪 So what’s in the paper? Anthropic tested their models against some seriously advanced safety benchmarks, including: 🔍 Responsible Scaling Policy audits 🛡️ AI Safety Level classifications (ASL 2 + ASL 3) 🧩 Misalignment and deception tests 🤖 Agentic behavior evaluations for computer use and self-directed tasks 💬 Model welfare assessments (basically: how "well-being" shows up in AI behavior) This kind of transparency is rare and gives us a glimpse behind the curtain into how models are being trained, tested, and aligned (or not). As a community of women and underrepresented voices building ethical, purpose-driven AI this raises BIG questions. ✨ What does safe AI actually look like? ✨ Who gets to define “misalignment”? ✨ How do we build models that reflect values beyond performance? Dive in if you love AI safety, alignment ethics, or just want to stay ahead of where all this is going. Would love to hear your take.

Use this prompt to get an ad campaign outline that uses the 'Situation-Complication-Resolution' framework to encourage your ideal audience to use your product/service to overcome a challenge they’re facing. PROMPT: "Using the 'Situation-Complication-Resolution' framework, please write an advertising campaign outline that presents a [insert the situation] faced by [insert your ideal customer persona], discusses the [insert the complication] that arises from the situation, and presents our [insert your product/service] as the [insert the resolution] to the challenge. End with a CTA that encourages the reader to take advantage of the solution."

If certification is your jam - and you need to showcase & uplevel some AI skills< LinkedIn has many free courses. For the record, I prefer Founderz and the team here at SHE IS AI - but it's always good to know what's out there. Free Learning Paths for Top Jobs