Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference images, keep the Sonoran Desert trail vista with rocky singletrack, saguaros, volcanic rock, and bright Arizona sky, and keep the brown wooden post sign construction with ranger-style typography, but replace the header with bold all-caps ‘GOOGLE’ and list fictional entries like ‘Gemini Overlook 2.1 →’, ‘Search Springs 0.8 →’, and ‘DeepMind Saddle 4.5 →’ with arrows and mileages, swap the WP3 medallion for a small enamel badge bearing a four-color Google ‘G’, and tie a small weathered ribbon in Google’s blue, red, yellow, and green to a nearby palo verde branch. Maintain photorealistic midday desert lighting, weathered sun-baked sign surface, and the authentic preserve atmosphere of the reference.
Anthropic is getting 220,000 Nvidia GPUs from SpaceX and has committed to spending $200 Billion on Google TPUs. Claude Code’s 5-hour rate limits are doubling. Dario is finally getting aggressive about chips from every possible source to fight OpenAI Codex’s growth.
https://x.com/Yuchenj_UW/status/2052065017072386450
Anthropic just announced a new partnership with SpaceX for additional compute. The company is upping usage limits by 2x for Claude Code across plans, removing peak hours reductions, and raising API limits for Opus.
https://x.com/TheRundownAI/status/2052064469371470218
Anthropic rents out the entire Colossus 1 datacenter from xAI / SpaceX with over 220,000 Nvidia GPUs including approximately 150,000 H100 GPUs, 50,000 H200 GPUs, and 30,000 GB200
https://x.com/scaling01/status/2052068218047545501
Dario Amodei: We planned for a world of 10X growth per year. In the first quarter of this year, we saw .. 80X (annualized) growth per year in revenue and usage. That is the reason we had difficulties with compute
https://x.com/firstadopter/status/2052118224888607107
Dario&Daniela Amodei Interview: The 80x growth reportedly caught them completely off guard, and that’s the reason for the compute constraint. The compute deal with SpaceX is the first attempt to address the shortage and continues to search for solutions.
https://x.com/kimmonismus/status/2052118418174681572
Elon’s making $500 billion off Anthropic SpaceX numbers on this ? $18.5 billion revenue gunning for $1.75 trillion IPO valuation 95x Price/Sales ratio Renting the GPUs to Anthropic ~ $5 billion in additional revenue x 95 = $475 billion in valuation credit for the IPO
https://x.com/andrewbenson/status/2052147078902718583?s=46
Higher usage limits for Claude and a compute deal with SpaceX \ Anthropic
https://www.anthropic.com/news/higher-limits-spacex
In the next few days we’ll be ramping up Claude inference on Colossus. Grateful to be partnering with SpaceX here. We are going to need to move a lot of atoms in order to keep up with AI demand, and there’s nobody better at quickly moving atoms (on or off planet Earth)
https://x.com/nottombrown/status/2052062566126649448
More chips, more Claude
https://x.com/alexalbert__/status/2052065953173872912
not even 3 months ago Elon was rabidly chudposting at Amanda Askell now, all water under the bridge! (water goes into Colossus to be annihilated by Anthropic’s inference demand) Not evil at all! Highly impressive people!
https://x.com/teortaxesTex/status/2052080900280557749
Read more about our usage limit increases and our SpaceX compute partnership:
https://x.com/claudeai/status/2052060696255283346
SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude →
https://x.com/xai/status/2052060350770515978
Under-reported details of the xAI/Anthropic Colossus data center deal: Anthropic get Colossus 1 but xAI keep using the larger Colossus 2, Colossus 1 has a REALLY bad environmental record, and xAI just shut down a bunch of older models on 2 weeks’ notice
https://x.com/simonw/status/2052436629365948920
Very excited to be partnering with @elonmusk @SpaceX! Visionary engineering + Claude is going to be awesome, scaling is continuing for a long time!
https://x.com/Mononofu/status/2052212359536496961
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
https://x.com/claudeai/status/2052060691893227611
went under the radar with the spaceX <> anthropic compute deal, but those features make a ton of sense for power users and i’d expect them to become very important in the near future dreaming: better and more expressive memory i’d expect, with cross session context do detect
https://x.com/eliebakouch/status/2052156107313807690
AlphaEvolve: Gemini-powered coding agent scaling impact across fields — Google DeepMind
https://deepmind.google/blog/alphaevolve-impact/
gemini 3.1 flash-lite is here it’s our most cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing
https://x.com/GoogleAIStudio/status/2052453828272812310
Google tests screen sharing and custom agents in Antigravity
https://www.testingcatalog.com/google-tests-screen-sharing-and-custom-agents-in-antigravity-ide/
we’re evolving the gemini interactions api to support rich, multi-step agentic workflows instead of strict “”user”” and “”model”” roles, every action (from thinking to tool calls) is now represented as its own step
https://x.com/GoogleAIStudio/status/2052487438967140700
Gemma 4 just got even faster! We’re releasing Multi-Token Prediction (MTP) drafters that deliver up to a 3x speedup, without any degradation in output quality or reasoning logic.
https://x.com/googlegemma/status/2051713412431007808
Gemma 4 up to 3x faster, directly in your phone! 🚀 Check out the difference Speculative Decoding makes! Multi-Token Prediction (MTP) is supercharging inference speeds for Gemma 4.
https://x.com/googlegemma/status/2052468624657654194
Gemma 4: Now up to 3x Faster. ⚡ Same quality, way more speed. Our new MTP drafters allow Gemma 4 to predict multiple tokens at once, effectively tripling your output speed without compromising intelligence.
https://x.com/googledevs/status/2051700498328346945
I benchmarked Google’s new MTP for Gemma 4 31B using vLLM with 4 speculative tokens, a fairly conservative setup. Results: – Much higher throughput than Qwen3.6’s MTP – Lower latency too, helped by Gemma 4 generating fewer tokens – For coding tasks with reasoning enabled,
https://x.com/bnjmn_marie/status/2052286398707687650
Multi-token-prediction in Gemma 4
https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/
Gemma-4 lands in Code Arena: Frontend Webdev and shifts the Pareto Frontier! Among open models, Gemma-4-31b ranks #13 and Gemma-4-26b-a4b ranks #17. Congrats to @GoogleDeepMind on shifting the frontier!
https://x.com/arena/status/2052061349312921686
gog 0.16 is out. Google Workspace CLI for humans and agents. Lossless raw API output, sanitized Gmail reads, safer command profiles, Drive inventory, Docs tabs, Sheets tables, Gmail filter export, and official Docker images.
https://x.com/steipete/status/2051575048348074450
Gemini API File Search is now multimodal
https://blog.google/innovation-and-ai/technology/developers-tools/expanded-gemini-api-file-search-multimodal-rag/
Good news for AI builders: the File Search tool in the Gemini API is now multi-modal 🗃️, powered by our Gemini Embedding 2 model, + support for custom metadata & inline citations : ) File Search comes with storage and embedding generation at query time free of charge!
https://x.com/OfficialLoganK/status/2051728186824904743
The Gemini API’s File Search tool now supports multimodal retrieval. Use `gemini-embedding-2` as the embedding model to build a true multimodal RAG system for PDFs and images with a single call. How it works: 1. Create a store with `gemini-embedding-2` as the embedding model 2.
https://x.com/_philschmid/status/2052060912425546050
Submissions are open for the Future Vision XPRIZE
https://blog.google/innovation-and-ai/technology/ai/future-vision-film-competition-xprize/
Google DeepMind partners with EVE Online for AI model testing – Ars Technica
https://arstechnica.com/gaming/2026/05/google-deepmind-partners-with-eve-online-for-ai-model-testing/
Google is testing new Omni model for video generation
https://www.testingcatalog.com/google-is-testing-new-omni-model-for-video-generation-ahead-of-i-o/
Studio Behind EVE Online Goes Independent, Rebrands as Fenris Creations, Enters Research Partnership with Google DeepMind – Fenris Creations
https://www.ccpgames.com/news/2026/studio-behind-eve-online-goes-independent-rebrands-as-fenris-creations-enters-research-partnership-with-google-deepmind
ChatGPT is now available as an add-on in Excel and Google Sheets. It can help analyze messy data, write formulas, update spreadsheets, and explain what it’s doing along the way–without leaving your spreadsheet. Powered by GPT-5.5.
https://x.com/ChatGPTapp/status/2051776032127238266
📣 We’re continuing to bring more value to our AI Pro and Ultra subscribers! Google Health Coach is unlocked by Google Health Premium, which is going to be included at no extra cost in our Google AI Pro and Ultra plans starting on May 26. I’ve been dogfooding the Fitbit Air and
https://x.com/shimritby/status/2052439569136767291
Get up close and personal with your health. On May 26, the Fitbit app becomes the #GoogleHealth app for both Android and iOS– combining the best of Fitbit tracking with the power of Google to create a more holistic wellness experience. Learn more:
https://x.com/googlehealth/status/2052392762255761701
Introducing Fitbit Air. It’s lightweight, screenless and comfortable enough to wear 24/7 — with a battery life* of up to a week. * Battery life depends upon many factors and usage and actual battery life may be lower.
https://x.com/Google/status/2052501704155775481
Introducing the Google Health app
https://blog.google/products-and-platforms/products/google-health/google-health-app/
Never has the 🚀 emoji felt more apt.
https://x.com/AmandaAskell/status/2052161052058833181
Google prepares new upgrades for Gemini Flash model
https://www.testingcatalog.com/google-prepares-new-upgrades-for-gemini-flash-model/
We just shipped Webhooks in the Gemini API 🙂 This is a big step towards making the DevX for long running tasks (batch, agents, GenMedia, etc) way better.
https://x.com/OfficialLoganK/status/2051434527931953490
🚀 Day-0 MTP support for Gemma4 now available at vLLM with ready-to-use docker image! ⚡️Enjoy up to 3x faster decoding performance to supercharge your development with zero quality degradation! Check out the full vLLM recipes for Gemma 4 model series👇
https://x.com/vllm_project/status/2051744111116574950
Excited to introduce Gemma 4 Multi-Token Prediction Drafters⚡️Accelerated inference right in your pockets – Up to a 3x speedup – Same quality guarantees – Available in your favorite open-source tools
https://x.com/osanseviero/status/2051695861801820475
Gemma 4 just got a massive speed-up with MTP drafters ⚡️ > speculative decoding (up to 3x tokens/sec improvement compared to normal Gemma-4 🔥) > identical reasoning, just faster > day-0 support in transformers, MLX, vLLM > A2.0 licensed 🤗
https://x.com/mervenoyann/status/2051702372339003841
Gemma 4 shifts Pareto Frontier on Code @arena.🔥 Among open models, Gemma-4-31b ranks #13 and Gemma-4-26b-a4b ranks #17. Pretty good for open models you can run a MBP. 👀
https://x.com/_philschmid/status/2052104144706588699
Make Gemma go brrrr!!! Multi-Token Prediction drafters are here for Gemma 4, making inference up to 3x faster with zero quality loss. ⚡️ – Up to 3x inference speedup – Zero degradation in output – Available for E2B and E4B versions – Apache 2.0 license
https://x.com/_philschmid/status/2051752856319926475
The DFlash draft model for Gemma-4 is one of the best draft models we’ve ever trained, with especially strong performance in coding and math. Try it out!
https://x.com/jianchen1799/status/2051902953376923946
How LLMs Distort Our Written Language
https://sites.google.com/view/llmwritingdistortion/home
I think the Gemini chatbot has all the pieces to be a useful tool, but struggles to put it all together. It still doesn’t seem to know what files it can create or how its tools work together. It also seems to get “”discouraged”” a lot, giving up rather than finding new solutions.
https://x.com/emollick/status/2049700750087868805
Google Flow Music announces partnerships with Believe
https://blog.google/innovation-and-ai/models-and-research/google-labs/believe-flow-music-partnership/
Retrieval is all about signal, architecture, not raw power. 🦾The late interaction LateOn 0.1B competing with the dense Gemini 2
https://x.com/LightOnIO/status/2052095548098822477
🤖: Google DeepMind releases Decoupled DiLoCo, a fault-tolerant distributed training architecture that achieves 88% goodput vs. 27% for standard data-parallel at scale, using ~240x less inter-datacenter bandwidth with no measurable ML performance loss.
https://x.com/dl_weekly/status/2051693914868871205
Today we are rolling out edit mode in AI Studio Vibe Coding ✏️, select components to quickly edit them, annotate right on the UI with a pen, and select image assets to change them with Nano Banana + upload content!
https://x.com/OfficialLoganK/status/2051698665652412919
Leave a Reply