(* Compacting conversation...) 🍌 Nano Banana & Image modeling @googledeepmind

California, USA
Joined August 2008
Chris Tar retweeted
Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) has entered the Text-to-Image Arena. It ranks #5 overall. Google's latest Gemini-3.1-Flash-Lite-Image lands on the Pareto frontier: scoring 1251 at just $0.034/image. This is near flagship quality at a fraction of the price. The cost-to-quality curve just got a lot more interesting. Congrats to @GoogleDeepMind on the release!
We’re shipping 2 major releases:
 🔘 Nano Banana 2 Lite: our fastest and cheapest Gemini Image model 🔘 Gemini Omni Flash: now available via the Gemini API and in @GoogleAIStudio to help developers generate and edit high-quality videos.
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Chris Tar retweeted
total and complete victory for Kurzweil called it all 35 years ago and never wavered
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Chris Tar retweeted
This is absolutely shameful. Agents of a federal agency unnecessarily escalating, and then executing a defenseless citizen whose offense appears to be using his cell phone camera. Every person regardless of political affiliation should be denouncing this.
Drop Site obtained harrowing footage of the latest killing which appears to be from the perspective of the woman in pink filming from the sidewalk
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Amazing infographics, posters, slides generation based on your content, in NotebookLM today (via Nano Banana Pro)
Infographics & Slide Decks are 100% rolled out to all Pro users! One of our favorite examples that came out of early testing was uploading your resume/LinkedIn and creating a custom, visual representation of your career. Here is our social media manager's: Share yours too!
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You went 🍌🍌 for Nano Banana. Now, meet Nano Banana Pro.  It’s SOTA for image generation + editing with more advanced world knowledge, text rendering, precision + controls. Built on Gemini 3, it’s really good at complex infographics - much like how engineers see the world:)
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Nano Banana Pro marks a significant jump in accuracy of rendered text within images across many languages.
You went 🍌🍌 for Nano Banana. Now, meet Nano Banana Pro.  It’s SOTA for image generation + editing with more advanced world knowledge, text rendering, precision + controls. Built on Gemini 3, it’s really good at complex infographics - much like how engineers see the world:)
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All calm. For now.
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Gemini 3 Pro is out with large jumps in multimodal understanding and reasoning. Sounds useful for another application we're picturing... 🎨
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Nano Banana Pro is out with significantly improved text, diagram and infographic capabilities - Search-driven generations mean how-to's for many topics
Replying to @GoogleDeepMind
Our latest image model has enhanced reasoning from Gemini 3. 🧠 It can connect to @Google Search's vast knowledge base to help visualize anything using real-time information - from an infographic for a recipe, to an illustrative physics diagram.
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When you’re done studying and want to catch up on your favorite team, you can just ask “Infographic of last Rams game”. Having Google Search ground your queries and Nano Banana Pro show them visually is seeing two great technological achievements acting in perfect tandem:
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Heard some people have been waiting for this one. Meet Nano Banana Pro! We kept the 🍌 and upgraded everything else. blog.google/technology/ai/na…
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We just released the world’s best image model. Not bad for a fruit. 🍌
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The new Gemini 2.5 image model🍌is by far the best out there with a whopping +180 ELO point lead in image editing & it really excels at character consistency. Available for free in the @GeminiApp right now. Try uploading an image & playing around with it, it's pretty amazing!
Image generation with Gemini just got a bananas upgrade and is the new state-of-the-art image generation and editing model. 🤯 From photorealistic masterpieces to mind-bending fantasy worlds, you can now natively produce, edit and refine visuals with new levels of reasoning, control and creativity. A quick dive into Gemini 2.5 Flash’s capabilities 🧵
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Chris Tar retweeted
🚨 New paper 🚨 Excited to share my first paper w/ my PhD students!! We find that advanced LLM capabilities conferred by instruction or alignment tuning (e.g., SFT, RLHF, DPO, GRPO) can be encoded into model diff vectors (à la task vectors) and transferred across model versions. 💡You don’t necessarily need to fine-tune from scratch again for every new base model version. Instead, fine-tune once and add the diff vector to updated versions! ♻️♻️♻️. This can also offer a stronger and more computationally efficient starting point when further training is feasible. 📰: tinyurl.com/finetuning-trans… More 👇
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Chris Tar retweeted
Massive News from Chatbot Arena🔥 @GoogleDeepMind's latest Gemini (Exp 1114), tested with 6K+ community votes over the past week, now ranks joint #1 overall with an impressive 40+ score leap — matching 4o-latest in and surpassing o1-preview! It also claims #1 on Vision leaderboard. Gemini-Exp-1114 excels across technical and creative domains: - Overall #3 -> #1 - Math: #3 -> #1 - Hard Prompts: #4 -> #1 - Creative Writing #2 -> #1 - Vision: #2 -> #1 - Coding: #5 -> #3 - Overall (StyleCtrl): #4 -> #4 Huge congrats to @GoogleDeepMind on this remarkable milestone! Come try the new Gemini and share your feedback!
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Gemini is now accessible via the OpenAI libraries! Update 3 lines of code and get started with the latest Gemini models : ) developers.googleblog.com/en…
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Readers angered over The Washington Post decision not to endorse a candidate for president shouldn’t cancel their subscriptions—they should cancel Amazon Prime instead, @elcush writes: theatlantic.com/culture/arch…
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Today, we are rolling out three experimental models: - A new smaller variant, Gemini 1.5 Flash-8B - A stronger Gemini 1.5 Pro model (better on coding & complex prompts) - A significantly improved Gemini 1.5 Flash model Try them on aistudio.google.com, details in 🧵
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Chris Tar retweeted
🏆 FLAMe variants are among the most powerful generative models on RewardBench. Notably, FLAMe-RM-24B achieves an overall score of 87.8%, the best performance among generative models trained only on permissively licensed data, surpassing both GPT-4-0125 (85.9) & GPT-4o (84.7).
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