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I sat down with Logan Kilpatrick for an honest technical breakdown of the Google I/O updates. 🎙️ We pushed on: • Gemini 3.5 Flash pricing • Gemini CLI deprecation • Benchmark gaps vs Opus & GPT-5.5 Huge thanks to Logan and the DeepMind team for leaning into the tough... show more

Khushboo Verma

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81,649 次观看 • 2 个月前 •via X (Twitter)

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“A world builder, for everyone.” 🌐 We sat down with the Google DeepMind team behind Project Genie for a rapid-fire Q&A about turning prompts into interactive, playable worlds. Here’s Logan Kilpatrick and the research scientists behind the magic ↓

“A world builder, for everyone.” 🌐 We sat down with the Google DeepMind team behind Project Genie for a rapid-fire Q&A about turning prompts into interactive, playable worlds. Here’s Logan Kilpatrick and the research scientists behind the magic ↓

Google

115,508 次观看 • 6 个月前

Here we go: Gemini 3.0 is live! Thankfully, I was able to be an early tester. It's the best model I've ever tested - nothing comes even close to it. OpenAI will have a very hard time to keep up with Google, because Gemini 3.0 will now be the benchmark for all future models. I have been invited by Google DeepMind / Google - Thanks to Google DeepMind for the #EarlyAccess Here's a summary of Gemini 3.0 with all the important benchmark evals:

Here we go: Gemini 3.0 is live! Thankfully, I was able to be an early tester. It's the best model I've ever tested - nothing comes even close to it. OpenAI will have a very hard time to keep up with Google, because Gemini 3.0 will now be the benchmark for all future models. I have been invited by Google DeepMind / Google - Thanks to Google DeepMind for the #EarlyAccess Here's a summary of Gemini 3.0 with all the important benchmark evals:

Chubby♨️

108,611 次观看 • 8 个月前

Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

Terry Yue Zhuo

48,220 次观看 • 1 年前

Google I/O showed where AI is headed. Our community spent the weekend building it. Builders gathered in San Francisco alongside Google DeepMind to turn the newest Gemini + Gemma capabilities into working products. From multimodal agents and voice interfaces to long-horizon reasoning systems, teams showed us what’s possible with Gemini 3.5 Flash. The winners:

Google I/O showed where AI is headed. Our community spent the weekend building it. Builders gathered in San Francisco alongside Google DeepMind to turn the newest Gemini + Gemma capabilities into working products. From multimodal agents and voice interfaces to long-horizon reasoning systems, teams showed us what’s possible with Gemini 3.5 Flash. The winners:

Cerebral Valley

18,667 次观看 • 1 个月前

FREE Claude Opus 4.8. FREE GPT 5.5. All free. 7,200 credits. I tested it myself - works. The platform is Gumloop(.)com. Chat interface plus connections into different services. Company raised $50M Here's the exact setup: → Register via Google OAuth or Microsoft OAuth → During onboarding, answer the questions and select every option you can → When asked to connect services, pick Apify, Semrush, and Reducto - no login needed for any of them → Skip the Slack connection → Done correctly, you land 7,200 credits minimum Models inside: Opus 4.6 through 4.8, GPT 5.3 Codex, GPT 5.4, GPT 5.5, Gemini 3 Flash, Gemini 3.1 Pro, Gemini 3.5 Flash, DeepSeek V4 Flash and Pro, Kimi K2.6. No card needed anywhere in this flow. I ran through it myself - fully working. Bookmark this before it gets patched.

FREE Claude Opus 4.8. FREE GPT 5.5. All free. 7,200 credits. I tested it myself - works. The platform is Gumloop(.)com. Chat interface plus connections into different services. Company raised $50M Here's the exact setup: → Register via Google OAuth or Microsoft OAuth → During onboarding, answer the questions and select every option you can → When asked to connect services, pick Apify, Semrush, and Reducto - no login needed for any of them → Skip the Slack connection → Done correctly, you land 7,200 credits minimum Models inside: Opus 4.6 through 4.8, GPT 5.3 Codex, GPT 5.4, GPT 5.5, Gemini 3 Flash, Gemini 3.1 Pro, Gemini 3.5 Flash, DeepSeek V4 Flash and Pro, Kimi K2.6. No card needed anywhere in this flow. I ran through it myself - fully working. Bookmark this before it gets patched.

Atenov int.

22,779 次观看 • 1 个月前

Got an output from the strongest pre-release Gemini 3.5 Pro checkpoint 👀 I compared it to Claude Fable 5 and GPT-5.5 on the same exact prompt Yeah... This model is mostly dead on arrival (tried it on other prompts too ofc). It will likely be the "poor man's model" next to 3.5 flash. 1st video: Gemini 3.5 Pro (pre-release) 2nd video: GPT-5.5 3rd video: Claude Fable 5

Got an output from the strongest pre-release Gemini 3.5 Pro checkpoint 👀 I compared it to Claude Fable 5 and GPT-5.5 on the same exact prompt Yeah... This model is mostly dead on arrival (tried it on other prompts too ofc). It will likely be the "poor man's model" next to 3.5 flash. 1st video: Gemini 3.5 Pro (pre-release) 2nd video: GPT-5.5 3rd video: Claude Fable 5

Lentils

50,395 次观看 • 1 个月前

Exclusive: Google just released two upgraded Gemini 1.5 models, 1.5-Pro-002 and 1.5-Flash-002 — achieving new, state-of-the-art performance across math. I sat down with Logan Kilpatrick (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 00:00 Intro 01:01 Google rolls out two new Gemini models 2:18 What makes the new models so unique 3:40 Math improvements 8:20 Examples of Gemini 1.5 in the real world 10:19 Future problems AI could solve 12:54 Advantages of Gemini 1.5 16:50 Where beginners can get started 19:01 Advice to thrive in the new age of AI 22:02 Turning notes into podcasts 26:30 AI agents: Definitions and what they can do 31:22 What’s the final form for agents? 33:26 Proactive AI agent systems 36:00 Context windows in the agent era 41:01 AGI’s definition in Logan’s eyes 42:05 The current bottlenecks towards AGI

Exclusive: Google just released two upgraded Gemini 1.5 models, 1.5-Pro-002 and 1.5-Flash-002 — achieving new, state-of-the-art performance across math. I sat down with Logan Kilpatrick (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 00:00 Intro 01:01 Google rolls out two new Gemini models 2:18 What makes the new models so unique 3:40 Math improvements 8:20 Examples of Gemini 1.5 in the real world 10:19 Future problems AI could solve 12:54 Advantages of Gemini 1.5 16:50 Where beginners can get started 19:01 Advice to thrive in the new age of AI 22:02 Turning notes into podcasts 26:30 AI agents: Definitions and what they can do 31:22 What’s the final form for agents? 33:26 Proactive AI agent systems 36:00 Context windows in the agent era 41:01 AGI’s definition in Logan’s eyes 42:05 The current bottlenecks towards AGI

Rowan Cheung

269,830 次观看 • 1 年前

I just listened to a breakdown of Gemini jump from 2.0 to 2.5, and here's the gist. The team did not rely on lab tests alone. They scraped real user feedback from X, turned those "this broke" moments into living evals, and keep appending new edge cases with every release. It's a community driven QA loop: our failures become their benchmarks, which become our better results. If you're a creator or PM, this is a template: public feedback → evals → release → repeat. Great work Logan Kilpatrick Nicole Brichtova and whole team.

I just listened to a breakdown of Gemini jump from 2.0 to 2.5, and here's the gist. The team did not rely on lab tests alone. They scraped real user feedback from X, turned those "this broke" moments into living evals, and keep appending new edge cases with every release. It's a community driven QA loop: our failures become their benchmarks, which become our better results. If you're a creator or PM, this is a template: public feedback → evals → release → repeat. Great work Logan Kilpatrick Nicole Brichtova and whole team.

Matija Grcic

62,163 次观看 • 11 个月前

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in Google AI Studio or try them out in the Google Gemini

Google AI

428,958 次观看 • 8 天前

From a window to the web to an AI-powered platform: How do you integrate Gemini into the world's most popular browser? On this week’s Release Notes, Logan Kilpatrick sat down with Rick Osterloh and Parisa Tabriz to talk about how they approached this integration and what the future of Chrome looks like. Listen to the full episode here:

From a window to the web to an AI-powered platform: How do you integrate Gemini into the world's most popular browser? On this week’s Release Notes, Logan Kilpatrick sat down with Rick Osterloh and Parisa Tabriz to talk about how they approached this integration and what the future of Chrome looks like. Listen to the full episode here:

Google AI

56,993 次观看 • 5 个月前

A LOT happened last week. ICYMI, koray kavukcuoglu (CTO of Google DeepMind and Chief AI Architect of Google) and Logan Kilpatrick discuss Gemini 3, the state of AI, and where we are on the path to AGI. Chapters: 0:00 - Intro 2:00 - Gemini 3 launch reception 4:16 - Continuous progress and innovation 6:47 - Key areas for Gemini improvement 11:45 - Product scaffolding for model improvement 13:56 - Chief AI architect role 17:04 - Engineering mindset and collaboration 18:37 - Future growth areas for Gemini 20:33 - From research to engineering mindset 23:22 - The rise of generative media 27:22 - Nano Banana Pro capabilities 29:31 - Towards unified model checkpoints 36:26 - Organizing for AI success 38:26 - Balancing exploration and scaling 41:40 - DeepMind's collaborative culture 45:21 - Innovating at Google 48:37 - Closing

A LOT happened last week. ICYMI, koray kavukcuoglu (CTO of Google DeepMind and Chief AI Architect of Google) and Logan Kilpatrick discuss Gemini 3, the state of AI, and where we are on the path to AGI. Chapters: 0:00 - Intro 2:00 - Gemini 3 launch reception 4:16 - Continuous progress and innovation 6:47 - Key areas for Gemini improvement 11:45 - Product scaffolding for model improvement 13:56 - Chief AI architect role 17:04 - Engineering mindset and collaboration 18:37 - Future growth areas for Gemini 20:33 - From research to engineering mindset 23:22 - The rise of generative media 27:22 - Nano Banana Pro capabilities 29:31 - Towards unified model checkpoints 36:26 - Organizing for AI success 38:26 - Balancing exploration and scaling 41:40 - DeepMind's collaborative culture 45:21 - Innovating at Google 48:37 - Closing

Google AI

179,851 次观看 • 8 个月前

.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.

.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.

Google AI Developers

20,468 次观看 • 11 个月前

Ummmm I accidentally used Gemini 3.1 Pro instead of Nano Banana when I asked for an image, and now it's (checks notes) generating the image line-by-line as Base64??! 😆😆 Logan Kilpatrick what is this bro

Ummmm I accidentally used Gemini 3.1 Pro instead of Nano Banana when I asked for an image, and now it's (checks notes) generating the image line-by-line as Base64??! 😆😆 Logan Kilpatrick what is this bro

Benjamin De Kraker

273,636 次观看 • 3 个月前

In India, March is synonymous with exam season, and so I built a Study Assistant for my kid—thanks to Gradio and Gemini 2.0 Flash. Why Gradio? • No complex UI coding! With just a few lines of Python, I could create an interactive chatbot that offers features like chat history, image uploads (for questions about pictures, charts, and diagrams), and a notepad for quick study notes. Powered by Gemini 2.0 Flash • Multilingual support - for Hindi • Real-time Google Search Integration for current affairs and fact-checking. • Kid-friendly—it filters out distractions like gaming and social media topics. Will share the code along with a blogpost soon. AK 🍉 Abubakar Abid Logan Kilpatrick

In India, March is synonymous with exam season, and so I built a Study Assistant for my kid—thanks to Gradio and Gemini 2.0 Flash. Why Gradio? • No complex UI coding! With just a few lines of Python, I could create an interactive chatbot that offers features like chat history, image uploads (for questions about pictures, charts, and diagrams), and a notepad for quick study notes. Powered by Gemini 2.0 Flash • Multilingual support - for Hindi • Real-time Google Search Integration for current affairs and fact-checking. • Kid-friendly—it filters out distractions like gaming and social media topics. Will share the code along with a blogpost soon. AK 🍉 Abubakar Abid Logan Kilpatrick

Parul Pandey

10,795 次观看 • 1 年前

GEMINI 3 LAUNCH IS HERE I got a SNEAK PEEK at Gemini 3 with Logan Kilpatrick (Google Deepmind), and it might be the most POWERFUL vibe-coding tool on the planet. A little breakdown: 1. Anyone can build 3D and casual games now You can vibecode full, playable 3D video games generated in minutes. Actual games with physics, characters, controls, and loops you can remix instantly. Pure insanity. I can see founders and brands spinning up games on the fly to ride trends and drive growth. 2. Intelligent apps are becoming the default We built apps where reasoning, memory, and multi-step planning were baked in from the start. Once you’re building apps with ACTUAL intelligence baked in, there’s a whole wave of new opportunities that weren’t possible before. 3. Gemini acts like a creative partner You describe the idea, Gemini fills in the gaps, challenges decisions, proposes alternatives, and iterates in real time. 4. Vibe coding hits a new level Gemini 3 can generate assets, code, game logic, UI, and narrative in one flow. Tools like Claude and Cursor feel fast. This feels like the next layer, the one where a single builder can compete with full teams. Logan Kilpatrick and I pushed Google Gemini 3 hard, and the outputs were solid. A few times we had to give it a few extra prompts but it took feedback really well. I think 1 year ago, a lot of people discounted Google in the AI arms race. Can you discount them anymore? Doubt it. After this, it feels like they at best leading, at worst leading. What do you think of Google's AI efforts/Gemini 3 My biggest takeaway was how it just felt like Gemini 3 had a little more vibe coding horsepower than anything I’ve used.

GEMINI 3 LAUNCH IS HERE I got a SNEAK PEEK at Gemini 3 with Logan Kilpatrick (Google Deepmind), and it might be the most POWERFUL vibe-coding tool on the planet. A little breakdown: 1. Anyone can build 3D and casual games now You can vibecode full, playable 3D video games generated in minutes. Actual games with physics, characters, controls, and loops you can remix instantly. Pure insanity. I can see founders and brands spinning up games on the fly to ride trends and drive growth. 2. Intelligent apps are becoming the default We built apps where reasoning, memory, and multi-step planning were baked in from the start. Once you’re building apps with ACTUAL intelligence baked in, there’s a whole wave of new opportunities that weren’t possible before. 3. Gemini acts like a creative partner You describe the idea, Gemini fills in the gaps, challenges decisions, proposes alternatives, and iterates in real time. 4. Vibe coding hits a new level Gemini 3 can generate assets, code, game logic, UI, and narrative in one flow. Tools like Claude and Cursor feel fast. This feels like the next layer, the one where a single builder can compete with full teams. Logan Kilpatrick and I pushed Google Gemini 3 hard, and the outputs were solid. A few times we had to give it a few extra prompts but it took feedback really well. I think 1 year ago, a lot of people discounted Google in the AI arms race. Can you discount them anymore? Doubt it. After this, it feels like they at best leading, at worst leading. What do you think of Google's AI efforts/Gemini 3 My biggest takeaway was how it just felt like Gemini 3 had a little more vibe coding horsepower than anything I’ve used.

GREG ISENBERG

73,705 次观看 • 8 个月前

We were able to sit down with the Google DeepMind team behind the new Gemini Omni Flash model to hear all of their behind-the-scenes stories, memorable moments, and many, many (occasionally embarrassing) video generations. Watch the full Release Notes episode here:

We were able to sit down with the Google DeepMind team behind the new Gemini Omni Flash model to hear all of their behind-the-scenes stories, memorable moments, and many, many (occasionally embarrassing) video generations. Watch the full Release Notes episode here:

Google AI

13,118,427 次观看 • 2 个月前

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 1:05 Gemini 2.5 launch overview 3:19 Academic evals vs. vibe checks 6:19 The jump to 2.5 7:51 Coordinating cross-stack improvements 11:48 Role of pre/post-training vs. test-time compute 13:21 Shipping Gemini 2.5 15:29 Embedded safety process 17:28 Multimodal reasoning with Gemini 2.5 18:55 Benchmark deep dive 22:07 What’s next for Gemini 24:49 Dynamic thinking in Gemini 2.5 25:37 The team effort behind the launch

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 1:05 Gemini 2.5 launch overview 3:19 Academic evals vs. vibe checks 6:19 The jump to 2.5 7:51 Coordinating cross-stack improvements 11:48 Role of pre/post-training vs. test-time compute 13:21 Shipping Gemini 2.5 15:29 Embedded safety process 17:28 Multimodal reasoning with Gemini 2.5 18:55 Benchmark deep dive 22:07 What’s next for Gemini 24:49 Dynamic thinking in Gemini 2.5 25:37 The team effort behind the launch

Google AI Developers

228,118 次观看 • 1 年前

We’re launching full-length, on demand practice exams for standardized tests in Google Gemini, starting with the SAT, available now at no cost. Practice SATs are grounded in rigorously vetted content in partnership with The Princeton Review, and Gemini will provide immediate feedback highlighting where you excelled and where you might need to study more. To try it out, tell Gemini, “I want to take a practice SAT test.”

We’re launching full-length, on demand practice exams for standardized tests in Google Gemini, starting with the SAT, available now at no cost. Practice SATs are grounded in rigorously vetted content in partnership with The Princeton Review, and Gemini will provide immediate feedback highlighting where you excelled and where you might need to study more. To try it out, tell Gemini, “I want to take a practice SAT test.”

Google

6,366,020 次观看 • 6 个月前

Free Opus 4.8, GPT 5.5, and Gemini 3.1 Pro. 50 credits, no card. The platform behind it is valued at $4 billion. Most people are burning API credits testing prompts across three different subscriptions. Opus for one thing, GPT for another, Gemini when the other two fail. > ClickUp just made that unnecessary. Sign up with Google or a corporate email. 50 credits land immediately. 1 message costs 1 credit - that's 50 real conversations with Opus 4.8 before you spend a dollar. Models available: Opus 4.8, GPT 5.5, Gemini 3.1 Pro, Gemini 3.5 Flash. Custom MCP support if you want your own tools wired in. This isn't a startup burning VC money on a growth hack. ClickUp was valued at $4 billion in 2021, raised $535M, and runs ~100,000 paying clients - McDonald's, Booking, Netflix, Papa Johns. The AI pivot landed in November 2025. Same infrastructure, same userbase, new models bolted on top. → Go to app(.)clickup(.)com → Sign up with Google → 50 credits land automatically → Pick your model and start Bookmark this before the free tier gets capped.

Free Opus 4.8, GPT 5.5, and Gemini 3.1 Pro. 50 credits, no card. The platform behind it is valued at $4 billion. Most people are burning API credits testing prompts across three different subscriptions. Opus for one thing, GPT for another, Gemini when the other two fail. > ClickUp just made that unnecessary. Sign up with Google or a corporate email. 50 credits land immediately. 1 message costs 1 credit - that's 50 real conversations with Opus 4.8 before you spend a dollar. Models available: Opus 4.8, GPT 5.5, Gemini 3.1 Pro, Gemini 3.5 Flash. Custom MCP support if you want your own tools wired in. This isn't a startup burning VC money on a growth hack. ClickUp was valued at $4 billion in 2021, raised $535M, and runs ~100,000 paying clients - McDonald's, Booking, Netflix, Papa Johns. The AI pivot landed in November 2025. Same infrastructure, same userbase, new models bolted on top. → Go to app(.)clickup(.)com → Sign up with Google → 50 credits land automatically → Pick your model and start Bookmark this before the free tier gets capped.

Atenov int.

10,846 次观看 • 26 天前

What I loved about the launch of Gemini 3 last week was seeing so many products (from Google and others in the ecosystem) improve their experience with it on Day 1, truly innovation at scale. Gemini is a manifestation of our decade long AI first strategy, I see it as a through line for everything - from Search to YouTube to Cloud to Waymo etc I talked about this and much more with Logan Kilpatrick on our Release Notes podcast last week, full episode now on YouTube:

What I loved about the launch of Gemini 3 last week was seeing so many products (from Google and others in the ecosystem) improve their experience with it on Day 1, truly innovation at scale. Gemini is a manifestation of our decade long AI first strategy, I see it as a through line for everything - from Search to YouTube to Cloud to Waymo etc I talked about this and much more with Logan Kilpatrick on our Release Notes podcast last week, full episode now on YouTube:

Sundar Pichai

222,213 次观看 • 8 个月前