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Google released a new Pro checkpoint today and it is definitely better than the previous one. Keep grinding Zack! ⚡️⚡️⚡️ Zachary Nado [Gemini Pro] Peacock SVG ~24k tokens; ~6 minutes; effort: high; zero-shot

lyra

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93,611 görüntüleme • 13 gün önce •via X (Twitter)

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🚨 Gemini 4 Pro vs GPT-6 Astra Pro (Pelican Riding a Bicycle SVG) Both look quite similar, maybe Astra is slightly better imo But remember this is still a Gemini 4 Pro checkpoint (argon-d), so it’ll probably improve from here Very bullish on Google rn after testing this out

🚨 Gemini 4 Pro vs GPT-6 Astra Pro (Pelican Riding a Bicycle SVG) Both look quite similar, maybe Astra is slightly better imo But remember this is still a Gemini 4 Pro checkpoint (argon-d), so it’ll probably improve from here Very bullish on Google rn after testing this out

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How much better are the internal, unreleased models at frontier labs like Google, OpenAI, and Anthropic? We got a glimpse exactly one year ago today, when Google accidentally leaked the “Kingfall” model "Kingfall" was likely an unreleased Gemini 2.5 Ultra-sized model. It was available in AI Studio for only a few minutes but remained accessible through the API for several days At the time, "Kingfall" appeared to be significantly better than Gemini 2.5 Pro at both code generation and creative writing In a recent interview, Sundar Pichai mentioned that Google could have made a better, Ultra-sized Gemini Omni model, but would have had trouble serving it The infrastructure required to serve Ultra-sized models at scale is likely why Google never publicly released models like “Kingfall”

How much better are the internal, unreleased models at frontier labs like Google, OpenAI, and Anthropic? We got a glimpse exactly one year ago today, when Google accidentally leaked the “Kingfall” model "Kingfall" was likely an unreleased Gemini 2.5 Ultra-sized model. It was available in AI Studio for only a few minutes but remained accessible through the API for several days At the time, "Kingfall" appeared to be significantly better than Gemini 2.5 Pro at both code generation and creative writing In a recent interview, Sundar Pichai mentioned that Google could have made a better, Ultra-sized Gemini Omni model, but would have had trouble serving it The infrastructure required to serve Ultra-sized models at scale is likely why Google never publicly released models like “Kingfall”

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Gemini 2.0 Flash ⚡️ has arrived! 2.0 Flash > 1.5 Pro (again!) 📈 Interacts with a browser 🤖 Native image generation 🖼️ and much more! Try it out As a preview of what is possible, wishing you all a Drastic Holiday powered by 2.0!

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Today at #GoogleIO we've announced: 🤖 Project Astra: our vision for AI assistants 🎨 Imagen 3 & Veo: our new image and video gen models ♊ Gemini 1.5 Flash: a light-weight multimodal model with long context & 1.5 Pro with 2M tokens... "Tuesday" as we call it Google DeepMind

Today at #GoogleIO we've announced: 🤖 Project Astra: our vision for AI assistants 🎨 Imagen 3 & Veo: our new image and video gen models ♊ Gemini 1.5 Flash: a light-weight multimodal model with long context & 1.5 Pro with 2M tokens... "Tuesday" as we call it Google DeepMind

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GOOGLE 🔥: Gemini for Business will get a new experience for collaborative Projects, where teams can work in a shared environment. Besides that, Google is rolling out Workflow Agents that can work on automation tasks across various apps. The same functionality is now available on Gemini Enterprise and will become better integrated into the core Gemini for Business experience. Is it only me, or does Gemini for Business feel much better than consumer-facing Gemini?

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$🚨BREAKING: Google just released Gemini 3 Flash and it’s insanely fast. - Beats 2.5 Pro in speed and quality - Free + unlimited version of Gemini - Frontier intelligence at a fraction of the cost I got early access, and the speed + intelligence combo is legit. Examples 👇 1. It can see and guess what you're drawing while you're still sketching it$

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1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

Sundar Pichai

864,698 görüntüleme • 1 yıl önce

We’re unlocking the #NPU with #LiteRT to deliver high-performance AI that stays cool and fast. 🧠⚡️ Real-world impact and performance at scale: 🔷 Google Meet: Ultra-HD segmentation video effects models for pro-quality backgrounds 🔷 Epic Games: 30 FPS real-time MetaHuman facial animation on Android 🔷 Argmax: 2x speedup in speech-to-text with industry-leading latency 🔷 Google AI Edge Portal: cross-device benchmarking with NPU support Explore how it works →

We’re unlocking the #NPU with #LiteRT to deliver high-performance AI that stays cool and fast. 🧠⚡️ Real-world impact and performance at scale: 🔷 Google Meet: Ultra-HD segmentation video effects models for pro-quality backgrounds 🔷 Epic Games: 30 FPS real-time MetaHuman facial animation on Android 🔷 Argmax: 2x speedup in speech-to-text with industry-leading latency 🔷 Google AI Edge Portal: cross-device benchmarking with NPU support Explore how it works →

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53,959 görüntüleme • 5 ay önce

I just tried the new Gemini-4 Pro Preview and honestly, for 3D work it’s right up there with Fable 5.1 and GPT-6 Astra, all in a single shot, I genuinely didn’t expect it to be this good, It only used around 10% of my weekly limit on the $20 plan, I’m going to make a comparison video against Opus 5.2 or Fable and Astra if I can, I still can’t believe it, From what I’ve tested so far, this is easily top 1 or 2 for the best one shot execution I’ve seen

I just tried the new Gemini-4 Pro Preview and honestly, for 3D work it’s right up there with Fable 5.1 and GPT-6 Astra, all in a single shot, I genuinely didn’t expect it to be this good, It only used around 10% of my weekly limit on the $20 plan, I’m going to make a comparison video against Opus 5.2 or Fable and Astra if I can, I still can’t believe it, From what I’ve tested so far, this is easily top 1 or 2 for the best one shot execution I’ve seen

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⚡️⚡️⚡️BREAKING: Ukraine struck Russian oil infrastructure on both sides of the Crimean Bridge — sea logistics terminals in the Krasnodar region (hitting export capacity) and the oil depot in occupied Kerch. This is Kyiv’s clear strategy to isolate Crimea and choke Russian military logistics. The strikes on Krasnodar sea export terminals primarily erode Russia’s hard-currency export earnings and raise the cost of doing business in energy logistics. The Kerch depot strike specifically raises the sustainment cost of the Crimea occupation. Together they form a coherent economic pressure campaign aimed at degrading Russia’s ability to fund and supply the war effort in the south — measurable in reduced throughput, repair bills, insurance spikes, and diverted resources, rather than total collapse. This is a targeted, attritional economic effect rather than a knockout blow. Russia has rerouting options and benefits from high global prices at times, but the cumulative friction is real and growing with each successful strike.

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/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside atomic.chat (prompt is below) Device: MacBook Pro M5 Max, 64GB RAM Results: Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens So what is more important: tokens per second, or the quality of the final answer? Qwen made a very long response and showed more creativity and visual style. But Gemma gave a shorter, clearer, and more logical answer in much less time. In this one-shot Pac-Man gamedev contest, Gemma 4 31B was the clear winner. Its game logic was stronger: click reactions were smoother, and it handled interactions with elements like walls, ghosts, and particle effects better. But this was only one test. Maybe Qwen 3.6 27B can show better results with better settings. Open the comments, try our prompt, and share your result below.

/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside atomic.chat (prompt is below) Device: MacBook Pro M5 Max, 64GB RAM Results: Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens So what is more important: tokens per second, or the quality of the final answer? Qwen made a very long response and showed more creativity and visual style. But Gemma gave a shorter, clearer, and more logical answer in much less time. In this one-shot Pac-Man gamedev contest, Gemma 4 31B was the clear winner. Its game logic was stronger: click reactions were smoother, and it handled interactions with elements like walls, ghosts, and particle effects better. But this was only one test. Maybe Qwen 3.6 27B can show better results with better settings. Open the comments, try our prompt, and share your result below.

Chubby♨️

72,566 görüntüleme • 4 ay önce

🚨Gemini 3.6 Flash is trash I tested it on a 3D Golden Gate Bridge, and the results were awful. • I had to re-prompt it three times because it repeatedly ignored the instructions. • First attempt, instead of creating the requested .html file, it first tried to build the experience inside the Gemini app using simulations. • Then second attempt it started placing images from the web into the chat rather than actually producing the file. • Even after getting it to complete the task, the final output was dramatically worse than Gemini 3.1 Pro, which is 5 months old and now not even a top 10 model on leaderboards. This feels like a regression from Gemini 3.5 Flash and honestly, it is one of the weakest models I have tested in the past few months. Has anyone else tested Gemini 3.6 Flash yet, and are you seeing the same thing?

🚨Gemini 3.6 Flash is trash I tested it on a 3D Golden Gate Bridge, and the results were awful. • I had to re-prompt it three times because it repeatedly ignored the instructions. • First attempt, instead of creating the requested .html file, it first tried to build the experience inside the Gemini app using simulations. • Then second attempt it started placing images from the web into the chat rather than actually producing the file. • Even after getting it to complete the task, the final output was dramatically worse than Gemini 3.1 Pro, which is 5 months old and now not even a top 10 model on leaderboards. This feels like a regression from Gemini 3.5 Flash and honestly, it is one of the weakest models I have tested in the past few months. Has anyone else tested Gemini 3.6 Flash yet, and are you seeing the same thing?

Lumina

72,529 görüntüleme • 2 ay önce