OpenAI GPT-5

I made this public /fake influencer video generator using a custom gpt.

I made this public /fake influencer clip workflow using a custom gpt (link). this was an experiment and could use some more tweaking but i think it's funny that it's even possible in chatGPT

the custom gpt: first, let me give some context on the custom gpt. it generates an artifact containing a graph-based workflow builder where you can hook up various processing steps and press play to generate images and videos. it supports a few image, video, and text models (gpt4o, gpt5).

how my UGC workflow works: first, the user uploads an image of a product and a product description in the input nodes furthest to the left. these inputs go down two paths.

path 1: they get piped to gpt 4o, which writes a ~5 second script. this gets sent to minimax/speech-02-turbo which is a TTS model for generating audio.

path 2: the product picture and description go to gpt 4o, which writes an image prompt for nano banana to generate an image of an influencer posing with the product. after nano-banana is done, 4o then looks at this image and the product description, and writes a video prompt for seedance-1-lite. seedance-1-lite uses the nano-banana image as the first frame to create a 5 second vid clip.we then pipe the voice model output and the 5 second video together into lipsync-2, which does an okay job of making the inflluencer look like she's talking

how you can try it: to load this workflow into the custom GPT, first you have to visit the GPT and press "generate an empty workflow" (or any of the other defaults). do this on desktop web, as i could not get this to work on the app (it would generate the code but not an interactive artifact).when you preview the artifact, you will see an 'upload' button in the upper left. click this button, paste the JSON provided below, and press submit. you do have to provide a replicate API key for ai usage, or you can sign in with google/subscribe dev which only gives you 100 free credits but it's enough to try it out.

Here is the workflow json: https://hastebin.com/share/imomalutiz.css

Major developments in AI last week.

1. Google Nano banana
2. Microsoft VibeVoice
3. xAI Grok Code Model
4. OpenAI Codex in IDE
5. Claude for Chrome
6. NVIDIA Jetson Thor

Full breakdown ↓

1. Google launches Nano Banana (Gemini 2.5 Flash Image) image editing model. Integrated into Gemini app.

2. Microsoft’s VibeVoice-1.5B open-source TTS model.Generates 90 mins of multi-speaker speech. 4 distinct voices, natural turn-taking and safety watermarks.

3. xAI launches Grok Code Fast 1. Fast, cost-efficient reasoning model designed for agentic coding.

4. OpenAI updates Codex with IDE extension, GitHub code reviews, and GPT-5 capabilities.

5. Anthropic launches Claude for Chrome. Claude run directly in your browser and act on your behalf. Released as a research preview to 1,000 users for real-world insights.

6. NVIDIA launches Jetson Thor. A robotics computer designed for next-gen general and 'HumanoidRobots' in manufacturing, logistics, construction, healthcare, and more. A big leap for physical AI.

Full daily snapshot of the AI world at https://aifeed.fyi/

Annoying Deep Think global rate limits.

bruh, why are they giving so many free users almost unlimited uses of nano banana, 2.5-pro, and whatnot when i get a global rate limited for deep think. like 10 uses per day was already extreme. now i can't use it when a lot of other users are? gpt-5 pro looking awfully nice now.

Image Prompt to Create hyper realistic Product Capsule image using GPT-5 or Gemini Nano Banana

💬 Try Image Prompt 👇

A hyper-realistic, ultra-high-resolution product photo. A transparent glass capsule, floating vertically in the center. The capsule looks like a pill with a subtle halfway seam, and is densely filled from top to bottom with [OBJECT/MATERIAL], arranged in a rich, natural, and precise way. Details:

• [TEXTURE_DETAILS: e.g., juicy pulp, smooth petals, glossy shine, etc.] Background:
• A soft, light gray background to accentuate the [MAIN COLOR TONE].
• Clean lighting, soft shadows, poetic premium mood.
• No text, logos, or distractions — just a pure product-focused visual.

Generated Top-Down space shooter bullet hell, on pure AI instruments without any manual code writing. Personal challenge.

Hello everyone. So I made myself a challenge to make some kind of simple game fully made by AI tools without any manual coding.

Arts were generated by Google AI Studio, with Nano Banana model. It actually makes really good cartoonish styles. Then I used ComfyUI to remove white backgrounds and crop them at required sizes.

Coding tool was PyCharm's Junie Pro which uses GPT-5, which is currently works for free. Libraries are pygame, pygame_gui and loguru

Some steps:

1. First made Junie to generate boilerplate pygame project that uses ECS.
2. Then manually placed game sprites on specific folders. For example: `/images/background/planets/gas_giants/gas_giant_1.png`. I intentionally made folders as deep and as contextually recognizable as possible. This actually helped Junie to make robust code.
3. Then step by step made Junie to implement features. Parallax background, Player, Enemies, Projectile system, Powerup system. It even has hidden system which changes enemies' behavior and spawn rate depending of how user is playing.
4. Made Junie to prepare Demo Mode, so it would be easy to showcase game's features.

In conclusion I'm satisfied. It took me about two workdays amount of time to make this demo. Junie with GPT-5 is very powerful tool. While doing all of that there were some hiccups, like code that breaks the game. When I sent full stacktrace of these exceptions, Junie was able to locate the errors and fix them. There were no LLM based coding "deathloops" during the making of this game.

There are some features that I could have added:

1. Add full animation on these sprites. It is possible by sending images to Image2Video models and then extract from them animated frame sprites for each ship, projectile and background prop, but I was too lazy for that.
2. It could be possible to use some kind of Text2Audio models to make sound effects, and even music, but I'm again too lazy for that.

My thoughts:

I think in the near future someone is going to make a supertool that works as an asset generation factory. It will take backend specs of this game, generate all required sprites, textures, 3D models and even audio, then import them into the game project with full integration. That would be great.

I Tried an AI No-Code Agent. Here’s What Surprised Me.

Been a long-time user of Zapier/Make/n8n. Great tools, but they always left me tinkering.

This month, I tested an AI execution agent—Pokee.ai—and honestly, it surprised me. Instead of chaining triggers, I just said:

“Summarize unread emails, add the key ones to ClickUp, and schedule a call in Zoom.”

It worked. Across Gmail, ClickUp, and Zoom. No manual wiring, no broken triggers.

Pokee integrates with pretty much everything (Google Docs/Sheets/Slides, Slack, Notion, LinkedIn, X, GitHub, Jira, YouTube, TikTok, WhatsApp, Zoom, Amazon, Walmart, Costco, Pinterest, Cloudflare, etc.), plus it uses multiple advanced models (GPT-5, Nano Banana, Veo 3, and more) with reinforcement learning baked in. I’m still cautious, but I’m wondering:

• What workflows would you actually hand off to an AI agent?

• Do you think this complements or replaces tools like Zapier/n8n?

Would love to compare notes with folks experimenting in the same space.

Everything that happened in AI last week

Last week was one of the busiest week ever in AI in terms of drops and launches. This is a summary of everything that happened.

Models & Releases

• Anthropic releases Claude Sonnet 4.5, now topping SWE-bench and coding benchmarks.
• Google makes Gemini 2.5 Flash Image (“nano banana”) generally available with ten aspect-ratio options.
• OpenAI launches Sora 2, a physically accurate text-to-video model and Sora social app.
• DeepSeek unveils V3.2-Exp, a sparse-attention model that halves API costs.
• Z.ai’s GLM-4.6 expands its context window to 200 K tokens and leads the open-weight LMarena leaderboard.
• Qwen 3 Omni AWQ 30 B model released for 4-bit inference, boosting low-resource deployment.

---

Hardware & Infrastructure

• Microsoft says future data-center AI workloads will run on its own custom chips, cutting dependence on Nvidia.
• Nvidia announces the DGX Spark system will ship in October 2025, targeting large-scale LLM training.
• OpenAI partners with Samsung and SK Hynix to secure up to 900 k HBM chips per month for its Stargate super-computers.
• CoreWeave lands a $14 billion AI-infrastructure contract with Meta, expanding US data-center capacity.
• MIT’s Lincoln Laboratory unveils TX-GAIN, a 2 exaflop AI supercomputer—the most powerful on any U.S. campus.
• Granite-4.0-Micro (3 B) runs on Qualcomm Snapdragon X2 Elite NPUs, enabling on-device inference.

---

Developer & Technical

• Anthropic’s Claude is now chat-enabled inside Slack for team collaboration.
• Claude Code open-source agent brings terminal-based, context-aware coding assistance.
• Google rolls out Jules CLI and API, letting developers run an AI coding agent directly from the terminal.
• Perplexity releases the free Comet AI browser with a persistent assistant for web-search-enhanced workflows.
• Onyx provides an open-source chat UI with built-in RAG, web search and multi-agent support.

---

Policy & Ethics

• California enacts SB 53, the first AI transparency law mandating safety disclosures and whistle-blower protections.
• Meta will use data from its AI user interactions to target ads on Facebook and Instagram.
• OpenAI updates its usage policies, restricting certain content and adding safety routing.
• Reports confirm OpenAI now routes all users—including Plus and Pro—to lower-compute “5-chat-safety” models.

---

Product Launches

• OpenAI’s new Sora app lets users create, edit and share AI-generated videos, a TikTok-style platform for short clips.
• Google rolls out Gemini for Home, upgrading Nest cameras, speakers and adding AI-rich notifications.
• Amazon launches a new Echo lineup powered by Alexa+ with advanced generative-AI features.
• Sony updates WF-1000XM5 earbuds and WH-1000XM6 headphones with audio-sharing and Gemini Live AI assistant.
• Apple pivots toward smart glasses, planning AR wearables that could launch as early as 2027.

---

Industry & Adoption

• Australian health agencies pilot AI support bots for home-care and diagnostic support, reporting higher patient engagement and reduced admin load.

---

Research Spotlight

• “Radiology’s Last Exam” benchmark shows GPT-5 achieving only 30 % accuracy versus 83 % for board-certified radiologists, underscoring current limits of LLMs in medical imaging.

---

Trending repos this week

• claude-code — terminal AI coding assistant.
• lobe-chat — open-source multi-model chat UI with RAG.
• opencode — lightweight AI coding agent for the command line.
• qlib — AI-first quantitative finance platform from Microsoft.
• gemini-cli — open-source Gemini AI agent for the terminal.

---

Quick Stats

• Nvidia pledges $100 B to OpenAI for next-gen compute.
• OpenAI’s secondary share sale values the startup at $500 B.
• CoreWeave’s contract with Meta totals $14 B.
• Claude Sonnet 4.5 can code autonomously for up to 30 hours.
• Grok 4 supports a 128K-token context window.

Full weekly timeline https://aifeed.fyi/ai-this-week

AIception - AI short film (Inspired from Inception, The Matrix and The Terminator)

For this shortfilm I combined the strengths of different tools:

⌨️ GPT5 for JSON prompts.

🎥 Veo 3, Higgsfield AI, Kling AI, Hailuo AI for video generation.

🎨 MidJourney and Nano Banana for images generations and editing.

🎙️ ElevenLabs for sound effects.

🎵 Suno AI for background music.

📈 Topaz AI for upscaling and polishing.

Filmmaking has never been this accessible — and this is just the beginning.

Enjoy watching this, guys… and let AI take control over you 😎😂

𝗕𝗘𝗦𝗧 𝗔𝗜 & 𝗣𝗥𝗘𝗠𝗜𝗨𝗠 𝗗𝗘𝗔𝗟𝗦 – 𝗨𝗣 𝗧𝗢 𝟵5% 𝗢𝗙𝗙

🌟 𝗣𝗔𝗬 𝗜𝗡-𝗔𝗣𝗣 𝗦𝗘𝗥𝗩𝗜𝗖𝗘 𝗣𝗥𝗜𝗖𝗘 𝗟𝗜𝗦𝗧 – 𝗕𝗘𝗦𝗧 𝗔𝗜 & 𝗣𝗥𝗘𝗠𝗜𝗨𝗠 𝗗𝗘𝗔𝗟𝗦 🌟
⚡ 𝗙𝗮𝘀𝘁 𝗦𝗲𝘁𝘂𝗽 – 𝗙𝘂𝗹𝗹 𝗪𝗮𝗿𝗿𝗮𝗻𝘁𝘆 – 𝗕𝗘𝗦𝗧 𝗣𝗥𝗜𝗖𝗘𝗦 ⚡
📩 Telegram: @Kevillionaire
📲 WhatsApp: +84344497012

🔥 𝗕𝗘𝗦𝗧 𝗦𝗘𝗟𝗟𝗘𝗥𝗦 🔥

⭐ 𝗚𝗿𝗼𝗸 𝗛𝗲𝗮𝘃𝘆 (𝟭 𝗬𝗲𝗮𝗿) – 𝟯̶𝟬̶𝟬̶𝟬̶$̶ > 200$
Advanced multi-agent reasoning, huge 256K context, and priority premium access.

⭐ 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗹𝘂𝘀 (𝟯 𝗠𝗼𝗻𝘁𝗵𝘀) – 6̶0̶$̶-> 𝟭𝟱$ (~5$/month)

⭐ 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗥𝗢 (𝟭 𝗠𝗼𝗻𝘁𝗵) – 2̶0̶0̶$̶ > 𝟰𝟱$
Unlimited GPT-5-PRO model , Codex,....

⭐ 𝗚𝗲𝗺𝗶𝗻𝗶 𝗨𝗹𝘁𝗿𝗮 – 𝟮𝟱,𝟬𝟬𝟬 𝗰𝗿𝗲𝗱𝗶𝘁𝘀 – 2̶5̶0̶$̶ > 𝟰𝟱$
DeepThink included, NotebookLM , Unlimited Veo3 , Unlimited Nano Banana

🎯 𝗢𝘁𝗵𝗲𝗿 𝗧𝗼𝗽 𝗢𝗳𝗳𝗲𝗿𝘀

𝗚𝗲𝗺𝗶𝗻𝗶 𝗔𝗜 𝗣𝗿𝗼 (𝟭 𝗬𝗲𝗮𝗿 / 𝟮𝗧𝗕) – 𝟳$
𝗖𝘂𝗿𝘀𝗼𝗿 𝗔𝗜 𝗣𝗿𝗼 (𝟭 𝗬𝗲𝗮𝗿) – 𝟵𝟬$
𝗣𝗲𝗿𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗔𝗜 𝗣𝗿𝗼 (𝟭 𝗬𝗲𝗮𝗿) – 𝟮𝟬$
𝗘𝗹𝗲𝘃𝗲𝗻𝗹𝗮𝗯𝘀 𝗖𝗿𝗲𝗮𝘁𝗼𝗿 (𝟯 𝗠𝗼𝗻𝘁𝗵𝘀) – 𝟭𝟱$
𝗛𝗶𝗴𝗴𝘀𝗳𝗶𝗲𝗹𝗱 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 – 𝟮𝟱$

🎶 𝗠𝘂𝘀𝗶𝗰 & 𝗩𝗶𝗱𝗲𝗼

𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 (𝟭 𝗠𝗼𝗻𝘁𝗵) – 𝟱$
𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 (𝟭 𝗬𝗲𝗮𝗿) – 𝟯𝟱$
𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 (𝟭 𝗠𝗼𝗻𝘁𝗵) – 𝟲$
𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 (𝟭 𝗬𝗲𝗮𝗿) – 𝟰𝟰$

🎬 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 & 𝗗𝗲𝘀𝗶𝗴𝗻

𝗖𝗮𝗽𝗰𝘂𝘁 𝗣𝗿𝗼 (𝟭 𝗠𝗼𝗻𝘁𝗵) – 𝟱$
𝗖𝗮𝗽𝗰𝘂𝘁 𝗣𝗿𝗼 (𝟯 𝗠𝗼𝗻𝘁𝗵𝘀) – 𝟭𝟯$
𝗖𝗮𝗽𝗰𝘂𝘁 𝗣𝗿𝗼 (𝟲 𝗠𝗼𝗻𝘁𝗵𝘀) – 𝟮𝟱$
𝗖𝗮𝗽𝗰𝘂𝘁 𝗣𝗿𝗼  (𝟭 𝗬𝗲𝗮𝗿) – 𝟰𝟬$
𝗔𝗱𝗼𝗯𝗲 𝗙𝘂𝗹𝗹 𝗔𝗽𝗽𝘀 (𝟭𝗧𝗕 / 𝟭 𝗬𝗲𝗮𝗿) – 𝟭𝟬𝟬$

💻 𝗪𝗼𝗿𝗸 & 𝗦𝘁𝘂𝗱𝘆

𝗭𝗼𝗼𝗺 (𝟭 𝗠𝗼𝗻𝘁𝗵) – 𝟱$
𝗭𝗼𝗼𝗺 (𝟭 𝗬𝗲𝗮𝗿) – 𝟰𝟬$
𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 (𝟭 𝗬𝗲𝗮𝗿) – 𝟭𝟱𝟬$

🔐 𝗩𝗣𝗡 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
𝗡𝗼𝗿𝗱𝗩𝗣𝗡
𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗩𝗣𝗡
𝗛𝗠𝗔
𝗪𝗶𝗻𝗱𝘀𝗰𝗿𝗶𝗯𝗲

⚡ 𝗧𝗲𝗰𝗵 & 𝗗𝗲𝘃 𝗧𝗼𝗼𝗹𝘀
𝘃𝟬.𝗱𝗲𝘃 (𝟭 𝗬𝗲𝗮𝗿) – 𝟰𝟬$

✨ 𝗔𝗹𝘀𝗼 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 : 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 ✨
Brilliant • Microsoft Office 365 • Coursera • Hello Chinese • Notion Business • JetBrains Edu • Runway • Heygen • Leonardo AI • Vidu AI • Hailuo AI • Kling AI • Suno • Wink • Meitu • Monica • POE • Elsa • Luma Dream Machine • TradingView • Kalodata • Freepik • GenSpark • Sider Fusion • Surfshark • Short Max • Vidiq • PixvErse • IQIYI • Super Chinese • Photoroom • Piclumen • DID • Midjourney • Hanzii …

⚡ 𝗙𝗮𝘀𝘁 𝗦𝗲𝘁𝘂𝗽 – 𝗙𝘂𝗹𝗹 𝗪𝗮𝗿𝗿𝗮𝗻𝘁𝘆 – 𝗕𝗘𝗦𝗧 𝗣𝗥𝗜𝗖𝗘𝗦 ⚡
📩 Telegram: @Kevillionaire
📲 WhatsApp: +84344497012
🌐 Subreddit: r/Cheap_UltraGptCursor

🔗 Proofs & Vouch:
https://www.reddit.com/r/Cheap_UltraGptCursor/comments/1mgm3hm/discount_deal_gemini_ultra_pro_gpt_cursor/
https://www.reddit.com/r/Cheap_UltraGptCursor/comments/1mjfjhv/unbeatable_deals_on_ai_gemini_ultra_chatgpt/

https://preview.redd.it/4qoad3ydzorf1.png?width=767&format=png&auto=webp&s=611e80209cd5b52f6efb74fde9724cc9c524f70e

I made a plugin that packs 30+ AI models (GPT-5, Nano Banana, etc.) into Unreal Engine.

Hey everyone,

I made a plugin that packs 30+ AI models (GPT-5, Nano Banana 🍌, Claude 4.1, TTS, etc.) into Unreal Engine with a single unified plugin. It's a paid tool, but I'd love to get your feedback on it.

Also, I would love to know the models you currently use inside Unreal and unique use cases!

• Plugin Link: https://muddyterrain.com/genai-unreal
• Discord: https://discord.com/invite/KBWmkCKv5U

Happy to answer any questions.

AI SEO Buzz: ChatGPT Atlas is here, AI Mode updated, GPT-5 Instant improved, Nano Banana user experience

AI is taking over the world more and more every week, and it’s fascinating to watch. People keep saying SEO is dying… do we believe that?

Here’s the latest AI digest:

• ChatGPT Atlas is here

Okay guys, OpenAI has officially launched ChatGPT Atlas, its AI‐powered web browser that deeply integrates the chatbot experience in the browsing workflow. The browser is currently available on macOS, Windows, iOS and Android versions “coming soon.”

Key features most SEOs and online marketers pointed out:

• A ChatGPT sidebar (“Chat Anywhere”) that allows users to ask about content on the current page without switching tabs. 
• A “memory” function: Atlas can remember what a user has done, what pages they visited, tasks they were working on, and use that context later. 
• Agent Mode: for paid plans, the browser can take actions on behalf of the user (fill forms, navigate, compare products) rather than just providing answers. 
• Search vs. Chat: Instead of the usual search results page dominated by blue links, the user is presented first with a ChatGPT answer; links are secondary.

It’s pretty hard to pin down the community’s overall mood right now. Some say it’s a real breakthrough for web search, while others are already declaring SEO dead (haha, again)... So, we’ve gathered the most talked-about comments that sparked the biggest discussions and drew the most attention.

Min Choi: “When everyone realized OpenAI's web browser, ChatGPT Atlas, is just Google Chrome with ChatGPT.”

Benjamin Crozat: “ChatGPT Atlas doing a SEO audit. Speed up 8x. It's slow, but works in the background. Pretty damn useful.”

Robert Bye: “The design of ChatGPT Atlas' onboarding animations are incredible. But rewarding users for setting it as their default browser is genius!”

Shivan Kaul Sahib: “ChatGPT Atlas allows third-party cookies by default (disappointing)”

Ryan: “Wild. ChatGPT Atlas literally sees your screen and gives real-time feedback. How are you going to handle that chesscom?”

0xDesigner: “oh my god. chatgpt atlas isn't about computer use. starting a search from the URL opens a chat and native search results. they're trying to takeover search.”

NIK: “ChatGPT Atlas is chromium based LMAO”

Here’s what we can say for now: the community is actively exploring the new tool and testing its capabilities. Just a day after the browser’s release, reactions and reviews started pouring in. Glenn Gabe pointed out Kyle Orland’s article “We let OpenAI’s ‘Agent Mode’ surf the web for us - here’s what happened” and highlighted this part:

“The major limiting factor in many of my tests continues to be the ‘technical constraints on session length’ that seem to limit most tasks to a few minutes. Given how long it takes the Atlas agent to figure out where to click next and the repetitive nature of the kind of tasks I’d want a web-agent to automate - this severely limits its utility. A version of the Atlas agent that could work indefinitely in the background would have scored a few points better on my metrics.”

Sources:

OpenAI

Min Choi | X

Benjamin Crozat | X

Robert Bye | X

Shivan Kaul Sahib | X

Ryan | X

0xDesigner | X

NIK | X

Glenn Gabe | X

Kyle Orland | Ars Technica

___________________________

• Google AI Mode updated / ChatGPT GPT-5 Instant improved

Barry Schwartz pointed out a couple of interesting updates that cover a pretty wide range of search queries.

Google rolled out an update to its AI Mode for fantasy sports, now featuring integration with FantasyPros. Meanwhile, OpenAI has enhanced the GPT-5 Instant model for users who aren’t signed in.

Nick Fox from Google wrote on X, "Just shipped some improvements to AI Mode for fantasy football season, including an integration with FantasyPros."

"If you're trying to figure out who to start/sit, AI Mode can bring in real-time updates and stats to help you out. Hopefully this advice for my team ages well," he added.

OpenAI wrote, "We’re updating the model for signed-out users to GPT-5 Instant, giving more people access to higher-quality responses by default."

Sources:

Barry Schwartz | Search Engine Roundtable

Nick Fox | X

OpenAI ChatGPT - Release Notes

___________________________

• Colored map pins in AI Mode for Maps answers

Google is currently trialling a new visual feature within its AI Mode for maps where map pins display in multiple colours (such as red, blue, yellow and possibly orange) to help differentiate result types. 

The feature was observed by Gagan Ghotra, who posted screenshots showing a map at the top of an AI-driven answer page with a legend indicating what each coloured pin stood for. The change appears to be a test and has not yet been rolled out broadly.

If implemented widely, this colour-coded pin system could make Google Maps’ results more intuitive by visually grouping different categories of places or results, streamlining how users interpret map-based AI answers.

Google has not publicly confirmed the rollout timeline or the full scope of the color-coding system. As of now, it remains a selective experiment visible to some users.

Sources:

Gagan Ghotra | X

Barry Schwartz | Search Engine Roundtable

___________________________

• Nano Banana user experience 

Lily Ray shared a spot-on post with a screenshot that probably sums up how most Nano Banana users are feeling right now. There’s really nothing to add, we’ll just leave her post as is, and you’ll get the point right away:

“Tried to use Gemini/Nano Banana to make me a logo for Nano Banana (apparently Google didn't make their own?)

First it says it can't make logos (lol even for a Google product) then it proceeds to make... this.

CMON GOOGLE lol I was literally trying to praise Gemini's growth after launching Nano Banana in this slide”

Source:

Lily Ray | X

Image Prompt to create Poster Concept image using Seedream or GPT-5 or Gemini Nano Banana 🍌

💬 Try Image Prompt 👇

aspect ratio 3:4, 4K, hyper-real studio. Center a full-body portrait of [CHARACTER], standing confident, facing camera. Skin, hair and fabric with crisp detail; natural pose, premium styling. Background: seamless studio in [STUDIO_COLOR] with soft gradient and light falloff; cinematic key + rim light, gentle haze, clean shadows. Behind the subject, place huge 3D letters “[TEXT]”, uppercase, movie-poster style, beveled with soft occlusion, subtle drop shadow and contact lighting, aligned center. Wrap the scene with thick flowing bands in [BAND_COLOR] — glossy satin ribbons looping in S-curves around the figure, some in front, some behind, strong depth, never covering the face. Composition: head near top third, wide negative space, text clear, bands dynamic. Photorealistic, 85mm lens, f/4, high contrast, no props, no watermark, premium look.

Current AI Labs Evaluation Tier List, September 2025

https://preview.redd.it/427u2ihryspf1.png?width=1070&format=png&auto=webp&s=02a651e032de4c9f011889a95eb40a5473f3df81

Disclaimer, this tier list mostly shows major AI Labs that includes language foundation models)

S Tier - Dominating leaders that are a cut above the rest of the leaders

• DeepMind - These guys have always on top with each model release -- from gemini 2.5 pro, veo 3, genie 3, nano banana, and their gemma series. Their research in AI has always been first-rate and they've got plenty of talent with Demis Hassabi as their head. They have full stack independence from third parties to develop these models with Google's TPUs and GCP and have all the data in the world. Not great at marketing their products, but they're still undoubtedly on top, with the release of Gemini 3 being promising. Oh and Google also owns stake in Anthropic
• OpenAI - Despite how much they hype their products, OpenAI has shown clear dominance in this field alongside Deepmind. They are the only other lab besides Deepmind to have achieved IMO and ICPC gold using a general model, which separates them from the rest. This is further reflected in their IOI and Atcoder competition performances. They are still leading the market in global usage/adoption despite Gemini catching up, and have many connections with other industries to expand their influence. Despite negative initial reception, GPT-5 has proven to be exceptional model by being more available and cheaper with much stronger agentic coding performance. The recent release of GPT-5 Codex is currently eating Claude Code's lunch with many of its userbase hopping ship over to Codex. Not quite at the level of Deepmind, as their reliance on big partners puts them behind, but their dominance and bleeding edge research can't be overstated.

A Tier - Other leaders in the field with a clear dominance over the rest

• Anthropic - Each of their release has always been SOTA in SWE performance, and Claude code, while having some issues, still remains to be the golden standard for AI assistant tools. Despite some of their technical issues and bugs, they've established themselves broadly across the tech industries shown by how much other companies utilize their enterprise grade models (Even Google!). Along with consistent bleeding edge safety research, Anthropic is deservedly the top of A tier. What keeps Anthropic from being S tier is their lack or lack of performance of multimodality in other domains like voice, video, and images. Their models and releases do one thing extremely well (coding), but aren't as encompassing as Deepmind or Openai's models.
• xAI - Despite a lot of controversy, Grok 4 is undoubtedly a frontier model, and leading alongside GPT-5 in reasoning capabilities. Its release at the time was a solid breakthrough in compute heavy tasks like Arc Agi and HLE along with a leading gap in tool calling. While there are still many flaws, like with how expensive and slow the model is, xAI is one of the fastest growing labs since they started from nothing just 2 years ago. Now, they seem to be shipping faster with more multimodality features and efficient models, but they still have some ways to go for pushing frontier research. Nevertheless, it's clear they have the resource capacity to win the race.
• Tongyi Qianwen - Alibaba is like the Google of China. They have their own cloud platform and develop their own chips with a shit ton of data to train on. Despite being compute bottlenecked as a chinese company due to chip regulations, they're still somehow able to to consistently competing with the frontier American companies with their releases of Qwen3 while experimenting and innovating constantly with different architectures to compensate with the chip embargo. Tongyi's recent release of DeepResearch, which surpasses all other labs while being a 30B param model (holy fuck), as well as increasing support for multimodality and model variety convinces me to place them on their tier.

B Tier - Strong contenders that have at least one SOTA release in any major domain

• DeepSeek - They have shown to be competent in pushing frontier research with the release of their V3 model with how much of a breakthrough in cost efficiency their architecture was. The SOTA performance of V3.1 as a unified model shows strong progress in performance while being the fastest and cheapest at this level despite being heavily bottlednecked by compute. They're certainly at the top in terms of talent and research, but they definitely lack the level of backing and resources that the other labs above have. While V3.1 is a probably the best all around chinese model, Deepseek lacks the dominance in other domains like multimodality as well as shipping consistency for me to put them in A tier.
• Moonshot - Their Kimi models have also been consistently open source SOTA at the time of release with k1.5 and k2 along with their frequent updates. Along with being cheap and very fast, Kimi K2 has demonstrated impressive and general agentic coding capabilities, comparable to Claude sonnet upon release and often seen as a great alternative to how price Claude models. Many even suspect that the release of k2 single handedly pushed back Openai's delay of their OSS model.
• Zhipu AI - GLM 4.5 shows a particular advantage in coding alongside the Kimi models, being competitive with Claude Sonnet in SWE tasks, making it seen as a strong alternative. They have demonstrated breakthrough performance in visual reasoning and strong general agentic tasks and are competitive with frontier models in tool usage benchmarks. This lab also has potential to dominate parts of the software development side of AI, and their models are also one of the fastest and cheapest.
• Baidu - Ernie x1.1 is a seriously impressive model and possibly the best all around Chinese model alongside V3.1, even being competitive with GPT-5 on certain benchmarks. They have yet to show much beyond this model, but given that Baidu is one of the few other Chinese companies here with a lot of resources on their own and plenty of data, they have a lot of potential to grow.

C Tier - Subpar to decent models, but have some major advantage in other areas giving them potential

• Meta AI - Fell off pretty hard in the open source domain. Nevertheless, their llama models still have some niche usages in enterprises given how cheap it is. That said, Meta is definitely the most serious out of everyone else in this tier in becoming a frontier lab, given how much they have spent on capex and hiring talent. So they have a decent shot in moving upwards in this race. While they still have yet to show much, their immense resource pool along with their extreme commitment gives them the most potential out of everyone else here in this tier.
• Nvidia - Has an actually decent model being Llama Nemotron which can top R1 performance while being 3x cheaper. While language models are not the primarily focus of Nvidia, the fact that it's currently the market leader with the most to gain out of this AI race gives it the highest resource/compute edge. Definitely has the potential to move upwards if they took language models more seriously.
• Microsoft - Their Mai model demonstrates a reasonable improvement over its R1 base and their Phi family are decent for how lightweight and cheap they are. Language models definitely aren't their strong suite, but overall market dominance in tech and their negotiations with acquiring stake in openai and anthropic gives them a solid position to gain more in the AI race.
• Tencent AI Lab - Their hunyuan-T1 is a solid model, but they also have some genuinely great advancements in their world models. Hunyuan gamecraft and Hunyuan world were some pretty groundbreaking technology at the time on top of being source. They also have a large backing and resources given Tencent's market cap which gives them a lot leverage.

D Tier - Behind the rest in some way, but still have some promise

• Amazon AGI Lab - Nova Pro held its ground at the time of release, and Amazon Q/Kiro are decent AI tools, but they don't have much to show since. They have a large resource backing advantage, but Amazon in general isn't as serious in AI research development which sets them back. Amazon's investment into Anthropic puts them in a decent position in regards to having the benefits of frontier models. Still has potential, but not nearly as much as the rest.
• MiniMax - Very broad across all modalities of AI. Solid all across the board with their minimax-m1 being around gpt level 4.1 and solid deliveries with music, speech, video, and agent models. They don't have anything that makes them stand out or have any large backing, but they are all opensource which is a plus. Their dedication and broad range of AI features gives some promise that they could reach the level of other frontier Chinese startup labs on this list.
• Mistral AI - Pretty much the only thing going on in Europe. Their mistral-medium demonstrated some genuinely good results on LMArena (with no style control), although it could've been over-fitted in that regard since it seems to perform poorly in other benchmarks in comparison. With how the EU is trying to regulate AI, it would be difficult for Mistral to advance much compared to the others. But nevertheless, their dedication counts for something, and they could dominate their region depending on how the EU regulates foreign AI.

AIception - AI short film (Inspired from Inception, The Matrix and The Terminator)

With the power of generative AI, I was able to push past imagination and actually create something that feels like professional-level movie production — all with my PC and smartphone. 🚀

For this shortfilm I combined the strengths of different tools:

⌨️ GPT5 for JSON prompts.

🎥 Veo 3, Higgsfield AI, Kling AI, Hailuo AI for video generation.

🎨 MidJourney and Nano Banana for images generations and editing.

🎙️ ElevenLabs for sound effects.

🎵 Suno AI for background music.

📈 Topaz AI for upscaling and polishing.

Filmmaking has never been this accessible — and this is just the beginning.

Enjoy watching this, guys… and let AI take control over you 😎😂

Image Prompt to Create Fashion Photography image using Gemini Nano Banana 🍌 or GPT-5

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A cinematic full-body studio fashion photoshoot of a single [CHARACTER_OUTFIT_AND_STYLE] He/She is surrounded by 8–10 [TAPE / RIBBON / OBJECT TYPE], behaving exactly like caution tape. The [OBJECTS] are stretched taut and flat, floating freely in the studio space. They are arranged diagonally and horizontally, creating a layered criss-cross pattern. Some [OBJECTS] appear in the background behind the model. Some in the midground, crossing in front of the torso and legs (with clear space, never touching). A few in the foreground, closer to the lens, slightly blurred for cinematic depth. Important: they never wrap around, never touch the model, and always stay separate. Studio background: [COLOR GRADIENT / THEME COLORS]. Lighting: [CINEMATIC LIGHTING STYLE] — bright highlights on [KEY ELEMENTS], soft shadows for depth, no distracting effects. Mood: [EDITORIAL / FUTURISTIC / NOSTALGIC / POWERFUL]. Ultra-detailed professional fashion photography.