Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference image, keep the pure white landscape field, vertical type stack, and galaxy-punchout Milky Way letterform treatment exactly, but replace ‘HEROES’ with ‘GOOGLE’ in the same bold condensed grotesque all-caps, keep the ‘(we could be)’ tagline, replace ‘ALESSO’ with ‘OMNISCIENT ALLY’ in the light geometric all-caps galaxy-punchout style, keep ‘FEATURING.’ unchanged, and replace ‘TOVE LO’ with ‘GEMINI’ in the same condensed grotesque all-caps galaxy-punchout treatment, maintaining identical tracking, hierarchy, and austere album-cover composition.
AI Overviews are coming to your Gmail at work | TechCrunch
Introducing our biggest upgrades to the Deep Research API yet… including Deep Research Max (our SOTA system), MCP support, Native charts & infographics, planning mode, full tool support (including Google tools), full multi-modal input support, & real-time progress streaming!
https://x.com/OfficialLoganK/status/2046628030777631000
Gemini Embedding 2 is now generally available via the Gemini API and Gemini Enterprise Agent Platform search and understand semantic relationships across text, image, video, audio, and documents without complex, fragmented pipelines
https://x.com/GoogleAIStudio/status/2047007402520674679
Introducing one of our biggest updates to the Gemini Deep Research Agent, now available via the Interactions API! Trigger complex, long-horizon research workflows with arbitrary MCP support, get rich visualizations, plan before you execute, and more with these two
https://x.com/googleaidevs/status/2046630912054763854
The next evolution of our autonomous research agent is here. Today, we’re introducing Deep Research and Deep Research Max via the Gemini API. Powered by Gemini 3.1 Pro, you can now trigger comprehensive research workflows with unprecedented control and transparency, featuring:
https://x.com/Google/status/2046627647208259835
We’ve expanded the capabilities of Deep Research and Deep Research Max to give you even more control and transparency over the entire research process: 📋 Collaborative Planning: Review and refine the agent’s research plan before it executes. 🛠️ Extended Tooling: Run Google
https://x.com/Google/status/2046627652568850687
Google also said they can now scale to a million TPUs within a single cluster with TPU8t
https://x.com/scaling01/status/2046981511753130461
Introducing Gemini Enterprise Agent Platform | Google Cloud Blog
https://cloud.google.com/blog/products/ai-machine-learning/introducing-gemini-enterprise-agent-platform/
The conversation around AI agents is no longer about how to build them — it’s about how to manage thousands of them. Today we’re introducing Gemini Enterprise Agent Platform, a new way to build, scale, govern and optimize agents. It combines the models and services you’re
https://x.com/Google/status/2046985650868547851
We’re launching Gemini Enterprise Agent Platform with @GoogleCloud: a platform for businesses to develop, scale, govern and optimize agents. It’s the evolution of Vertex AI, bringing together model selection and agent building with new features for integration, security and
https://x.com/GoogleDeepMind/status/2046983340524269713
We’re making it easier for organizations to scale up autonomous agents with the Agentic Data Cloud. This AI-native architecture closes the gap between thinking and doing through: – A universal context engine that gives your agents a grounded source of truth about your business
https://x.com/Google/status/2046997032649277754
We’re delivering agentic defense by combining Google’s Threat Intelligence and Security Operations with @wiz_io’s Cloud and AI Security Platform to detect, prevent and respond to threats. Security agents provide protection for your entire AI development lifecycle.
https://x.com/Google/status/2047000216188940710
Stitch app’s DESIGN.md format is now open-source for designers
https://blog.google/innovation-and-ai/models-and-research/google-labs/stitch-design-md/
Arena Trends: Text-to-Image, Jan 2026 – Apr 2026 For most of the year, @GoogleDeepMind and @OpenAI traded the top spot within a tight margin – GPT-Image vs. Nano Banana – with the rest of the field clustered below 1,200. Today, GPT-Image-2 breaks away with a score of 1,512, 242
https://x.com/arena/status/2046690103515648061
The continuing gap between the capabilities of Gemini Pro 3.1 (very good model) and the capabilities of the Gemini app/website is odd. The model can do what Claude/GPT can do, but there is a minimal harness for tools (file creation, research etc), no auditable CoT/actions, manual
https://x.com/emollick/status/2045909435315323321
Opus 4.7 better than Opus 4.6 but can’t beat Gemini 3.1 Pro and GPT-5.4 on LiveBench
https://x.com/scaling01/status/2045178622617498084
Opus 4.7 scores 156 on ECI, our tool for combining multiple benchmarks onto a single scale. This puts it a bit ahead of Opus 4.6 and a bit behind only GPT-5.4, Gemini 3.1 Pro, and GPT-5.4 Pro. Thread with individual scores and commentary.
https://x.com/EpochAIResearch/status/2046631622909558857
do everything you love with passion and cherish this moment
https://x.com/OfficialLoganK/status/2046405196654469256
Excited to share that Google AI subscriptions (Pro and Ultra) now work with @GoogleAIStudio!! Come vibe code and use the playground with higher rate limits. Available right now!
https://x.com/OfficialLoganK/status/2046335947869155529
Google debuts Workspace Intelligence for Gemini Workspace
https://www.testingcatalog.com/google-debuts-workspace-intelligence-for-gemini-workspace/
Google tests Google AI subscription support for AI Studio
https://www.testingcatalog.com/google-tests-google-ai-subscription-support-for-ai-studio/
It gives access to 200+ of the world’s leading models through the Model Garden. This includes our latest breakthroughs: Gemini 3.1 Pro, Gemini 3.1 Flash Image, and Lyria 3, alongside our open models like Gemma 4.
https://x.com/GoogleDeepMind/status/2046983343481270459
The DiLoCo team at Google DeepMind and Google Research is proud to release Decoupled DiLoCo, the next frontier for resilient AI pre-training. Decoupled DiLoCo enables training with datacenters across the world, using heterogeneous hardware, and never halting the system despite
https://x.com/Ar_Douillard/status/2047329942547968171
We are launching two powerful updates to Deep Research in the Gemini API, now with better quality, MCP support, and native chart/infographics generation. Use Deep Research when you want speed and efficiency, and use Max when you want the highest quality context gathering &
https://x.com/sundarpichai/status/2046627545333080316
Google adds subagents to Gemini CLI to handle parallel coding tasks
https://tessl.io/blog/google-adds-subagents-to-gemini-cli-to-handle-parallel-coding-tasks/
Google Creates Strike Team to Improve Coding Models — The Information
https://www.theinformation.com/articles/google-creates-strike-team-improve-coding-models
I think Artificial Analysis does a good job overall and provides transparency in benchmarking, but GDPval-AA is not a good benchmark and needs to stop being reported. It is Gemini 3.1 judging other models on the output of the public questions from GDPval, which tells us nothing.
https://x.com/emollick/status/2045305504679842279
Google in talks with Marvell Technology to build new AI inference chips alongside Broadcom TPU programme
https://thenextweb.com/news/google-marvell-ai-chips-inference-tpu-broadcom
Google in Talks With Marvell to Build New AI Chips for Inference — The Information
https://www.theinformation.com/articles/google-talks-marvell-build-new-ai-chips-inference
TPU 8t, optimized for training and TPU 8i, optimized for inference. Looking good!
https://x.com/sundarpichai/status/2046981627184902378
TPU’s are a core part of the Google secret sauce, excited to see our 8th generation TPU see the light of day : )
https://x.com/OfficialLoganK/status/2046998392434508143
We’re introducing our eighth generation of TPUs. This time, we’re taking a dual chip approach: TPU 8t, optimized for training, and TPU 8i, optimized for inference. 💪TPU 8t achieves nearly three times the compute performance per pod over our previous generation, Ironwood. ⚡TPU
https://x.com/Google/status/2046993420841865508
AI Infrastructure: Cloud TPUs | Google Skills
https://www.skills.google/paths/2806/course_templates/1405
At #googlecloudnext today, we are introducing Workspace Intelligence Today’s digital workflows are information-rich but context-poor; project details live in Docs, trackers in Sheets, decisions are tucked in meeting notes, and updates are scattered across emails and chats.
https://x.com/ChanduThota/status/2046946043078848788
Last fall, we launched Gemini Enterprise as a front door to AI in the workplace, enabling every customer and employee to use cutting-edge AI agents. Today at #GoogleCloudNext, we announced new features, including: – A new inbox in Gemini Enterprise to manage, monitor and act
https://x.com/Google/status/2046988686433108417
ReasoningBank, a novel agent memory framework, enables LLM agents to continuously learn from both successful & failed experiences. Our evaluation shows that it enhances agent effectiveness, boosting success rates and efficiency. Learn more:
https://x.com/GoogleResearch/status/2046631948437921801
TPU 8t and TPU 8i technical deep dive | Google Cloud Blog
https://cloud.google.com/blog/products/compute/tpu-8t-and-tpu-8i-technical-deep-dive
@teortaxesTex deepseek-v4-flash: $0.14/$0.28 deepseek-v4-pro: $1.74/$3.48 This is extremely aggressive pricing. Flash, in particular, really stands out. It is 10 times cheaper than gemini 3.0 flash on an output-token basis… If their inference infrastructure is solid, I think there could be
https://x.com/Hangsiin/status/2047515855949623667
One of DeepSeek-V4’s goals was to make ‘1M context windows practical enough for real world use’, and they appear to have done that remarkably well. It outperformed Gemini 3.1 Pro on long context benchmarks, held up quite well even at 1M tokens, improved compute efficiency by
https://x.com/Hangsiin/status/2047523724929405328
Check out this video on how to run Gemma 4 locally on an iPhone! It runs completely offline and handles long context, meaning no data plan, no API calls, and no monthly fees required.
https://x.com/googlegemma/status/2045204738720084191
What does it take to run 3, 5, or even 10 concurrent instances of Gemma 4 locally? We’ve open-sourced a demo letting you run multiple models side-by-side on your hardware. Gemma 4 26B A4B easily runs 10+ concurrent requests on a MacBook Pro M4 Max at 18 tokens/sec per request.
https://x.com/googlegemma/status/2046621841146671456
Android Developers Blog: Experimental hybrid inference and new Gemini models for Android
https://android-developers.googleblog.com/2026/04/Hybrid-inference-and-new-AI-models-are-coming-to-Android.html
Boston Dynamics just gave its robot dog a brain that reasons about the physical world. Google DeepMind’s Gemini Robotics model is now running inside Spot, the four-legged robot already deployed at thousands of facilities worldwide. The upgrade centers on something called
https://x.com/rowancheung/status/2046245892328743221
What you need to know about the Deep Research and Deep Research Max Update: – Can consults over 100 sources in one research task. – Generates native charts and infographics inline. – Accepts PDFs, CSVs, images, audio, and video inputs. – Max version uses ~160 search queries per
https://x.com/_philschmid/status/2046627179551944753
Yay, finally! Introducing Vision Banana🍌 from @GoogleDeepMind, our unified model that outperforms SoTA specialist models on various vision tasks! By treating 2D/3D vision tasks as image generation, we unlock a new foundation for CV. Project page:
https://t.co/GQgRi6mWwC (1/5)
https://x.com/songyoupeng/status/2047312019976785944
ChatGPT plugin now available for Google Sheets:
https://x.com/gdb/status/2047064885012599168
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