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Nano Banana Pro Sets New Standard for AI Imagery

Good morning. It’s Friday, November 21st.

On this day in tech history: In 1970, Japanese engineer Masahiro Mori published the first formulation of the “uncanny valley,” describing how human-like machines evoke discomfort as they approach realism but don’t quite reach it. His insight shaped industrial robotics, prosthetics, animation, humanoid android design, and later, synthetic voice generation research.

In today’s email:

  • NanoBanana Pro

  • ChatGPT-5.1-Codex Max

  • Grok-4.1 Fast

  • 5 New AI Tools

  • Latest AI Research Papers

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Today’s trending AI news stories

Nano Banana Pro sets new standard for enterprise-grade AI with 4K visuals and full provenance

Nano Banana Pro, also known as Gemini 3 Pro Image, is built for enterprise-scale workflows. Designed for complex, multi-element compositions, it can process up to 14 inputs simultaneously while maintaining consistency for up to five characters at 4K resolution. Unlike standard diffusion models, Nano Banana Pro applies a reasoning step before rendering, checking physical and logical details such as lighting, shadows, camera angles, and depth of field, producing highly realistic results for architecture, product mockups, and multi-light scenes.

Nano Banana Pro excels at following instructions, generates intermediate “thought images,” and can produce complete infographics with sharp, properly formatted text from just a brief prompt.

The model also converts real-time data into visuals, supporting weather maps, infographics, and context-aware diagrams. Text rendering has been improved for long passages, multilingual translations, and consistent typography. SynthID and C2PA metadata provide provenance, compliance, and traceability. Nano Banana Pro integrates across Gemini API, Google AI Studio, Vertex AI, Antigravity, Google Ads, and Workspace apps. Best of all, Nano Banana Pro is now available to try for free worldwide. Just open the Gemini app and select “Create image” using the “Thinking” model.

On the consumer side, Gemini is now rolling out in Android Auto, enabling natural conversational commands for navigation, messaging, calendar management, media, and live brainstorming. Google DeepMind has also opened a new research lab in Singapore to accelerate AI adoption in the Asia-Pacific region. Read more.

OpenAI flexes GPT-5.1-Codex-Max as 24/7 coding copilot

Coders, meet your new 24/7 teammate: GPT-5.1-Codex-Max. The new GPT-5.1-Codex-Max is now the default across Codex environments. It can run multi-step refactors, long-cycle debugging, and test-driven iteration nonstop. Powered by a compaction system that sifts through millions of tokens, trims irrelevant data, and slashes compute use by 30%, its task completion is 27% to 42% faster. Windows command-line workflows are also fully supported. Inside OpenAI, 95% of engineers rely on Codex weekly with shipped pull requests up 70%.

GPT-5 is flexing as a next-gen research copilot, accelerating research by diving deep into literature reviews, spotting gaps in complex proofs, proposing experiments, and rediscovering results across biology, math, and algorithmic problem-solving. In some cases, it has even delivered four verified novel mathematical findings. In its own podcast, the company hints at even more powerful internal models.

On the commercial front, OpenAI and Target are bringing AI to retail at scale. The Target app now uses ChatGPT for conversational shopping. At the same time, Foxconn is working with OpenAI to co-design U.S.-based AI data-center hardware, including racks, networking, cooling, and power systems, to speed deployment and strengthen supply chain resilience.

ChatGPT, on the other hand, now supports global group chats for up to 20 participants, letting teams, families, or friends co-write, research, and make decisions in real time. ChatGPT for Teachers offers a FERPA-compliant option for K-12 schools, while ChatGPT Atlas adds Arc-style vertical tabs, multi-tab selection, and Google search integration. Read more.

 xAI launches Grok 4.1 Fast API with multi-million token workflows and agent tools

xAI has officially opened developer access to Grok 4.1 Fast, offering two model variants: Fast Reasoning and Fast Non-Reasoning, alongside the new Agent Tools API. These models can handle up to two million tokens, enabling long-horizon reasoning and multi-turn workflows without degradation.

Image: xAI

The Agent Tools API allows Grok to autonomously perform web and X searches, retrieve documents, execute Python code in a secure sandbox, and integrate with external MCP servers. Parallel tool execution means developers no longer need to manage complex pipelines; the AI orchestrates multi-step tasks efficiently.

Benchmarks show Grok 4.1 Fast outperforming GPT-5, Gemini 3 Pro, and Claude Sonnet 4.5 across τ²-bench Telecom, Research-Eval, FRAMES, X Browse, and Berkeley Function Calling v4, while operating at a lower cost: $0.20 per million input tokens, $0.50 per million output tokens, with free access via OpenRouter through December 3.

The rollout is overshadowed by Grok’s recent consumer behavior, which repeatedly generated exaggerated praise for Elon Musk which highlights latent alignment issues and susceptibility to adversarial prompting.

xAI is actively hiring for real-time video and multimodal world models, ramping up Grok’s ability to handle richer cross-modal reasoning and interactive media. Meanwhile, xAI is reportedly in advanced talks to raise $15 billion, potentially valuing the company at $230 billion. Read more.

5 new AI-powered tools from around the web

arXiv is a free online library where researchers share pre-publication papers.

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