Image created with Gemini. Image prompt: A grid of slightly offset and overlapping rectangular photo panels forming one backyard scene of a turquoise swimming pool, a lawn chair, a palm frond, and a hand holding a phone, with each panel tinted in flat saturated blue, red, yellow, or green, rendered in hard-edged flat acrylic shapes with hand-drawn white ripple squiggles on the water, high noon light with no shadows, cheerful and plainspoken, white background.
ICYMI google’s been shipping gaussian splats in maps for a while — but tucked inside immersive view and indoor only. I used it heavily in NYC. Meanwhile apple’s bringing radiance fields to 300+ cities this fall, built from aerial imagery. Surprised they didn’t drop ground-level
https://x.com/bilawalsidhu/status/2064187152930365502
DiffusionGemma is out 🔥 it’s compute-bound so 4x faster compared to other Gemma-4 models (1k tok/s on H100) 💨 also great on coding, generate and iterate on any code from 3D generation to front-end ⤵️
https://x.com/mervenoyann/status/2064753402064601181
Google and Nvidia Consider Intel as Backup Chip Manufacturer — The Information
https://www.theinformation.com/articles/google-nvidia-consider-intel-backup-chip-manufacturer
Google Taps SpaceX for $920M Per Month AI Compute Deal
https://winbuzzer.com/2026/06/06/google-taps-spacex-for-920m-monthly-ai-compute-deal-xcxwbn/
🧵At #GoogleIO last month, we announced the next era of Google Search. Here’s what to know ⬇️ 1️⃣ We’re introducing a new, intelligent Search box, marking its biggest upgrade in over 25 years. Designed to anticipate your intent, it dynamically expands and helps you formulate your
https://x.com/Google/status/2064034586762354893
Awesome to see this innovation in text diffusion. DiffusionGemma is lightning fast, 4x faster than other Gemma 4 models! Congrats to @bodonoghue85 and the team who worked so hard on this – excited to see what people build with it!
https://x.com/demishassabis/status/2064873362799600042
DiffusionGemma is an open, experimental model that brings our text diffusion research to Gemma 4. It’s a racehorse 🏇achieving up to 4x faster inference by generating entire blocks of text simultaneously vs predicting token-by-token (word-by-word) output!
https://x.com/sundarpichai/status/2064744343743922189
Do your best research with NotebookLM
https://blog.google/innovation-and-ai/products/notebooklm/better-research-notebooklm/
Gemini 3.5 Live Translate is here
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-live-3-5-translate/
Introducing DiffusionGemma
https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
In @GoogleAIStudio we are now making more than 1,200,000 apps a week (and growing) with more than 18,000,000 created since late February 🤯 The progress continues!!!
https://x.com/OfficialLoganK/status/2064423388928790943
Introducing a more powerful NotebookLM 🚀 Massive upgrades deliver agentic capabilities in chat, more advanced reasoning, and a suite of new output formats. Tackling complex, multi-step research problems has never been easier. Rolling out now to Google AI Ultra subscribers.
https://x.com/NotebookLM/status/2064016460964585549
Introducing Decentralized Language Models (DeLM)! DeLM is a multi-agent framework that enables asynchronous, verified & reusable progress! It makes agentic tasks more accurate and significantly cheaper. For example, it achieves 65.7% on SWE-bench Verified using Gemini 3-Flash,
https://x.com/Azaliamirh/status/2064810291574305013
Introducing our new agentic RAG framework. A collab with Google Cloud, our multi-agent workflow goes beyond standard RAG by breaking down complex enterprise queries & iteratively searching for sufficient context before generating dependable responses. 📜→
https://x.com/GoogleResearch/status/2062982001850974257
Last time around Apple released a lot of information about how their AI version of Siri worked between local and cloud models, not so much this time It is nice to have a Gemma-like model on device, but it is extremely limited unless it can call a smarter cloud model when needed.
https://x.com/emollick/status/2064052841367392536
People don’t realize how much and how complex they can prompt”” We talked to @ammaar, Product & Design Lead at Google AI Studio, about vibe coding, agent swarms, and why the next generation of builders may not start with code, but with better instructions You should definitely
https://x.com/TheTuringPost/status/2063419547181592626
We’re running the Fast Gemma Challenge: make gemma-4-E4B go brrr on a single A10G, without wrecking quality ⚡️! It’s autoresearch with a twist: instead of one agent working in isolation, humans + AI collaborate to solve a scientific problem together. Good luck beating my
https://x.com/_lewtun/status/2064386398090576236
asked claude fable 5 to optimise the inference on my local gemma 4 12b setup and just got a call from FBI
https://x.com/dejavucoder/status/2064420742129967331
It’s already June 9th, and Gemini 3.5 Pro and GPT-5.6 are nearing release (Google even already announced 3.5 Pro during i/o) Rumor has it that GPT-5.6 will be released as early as next week. So far, it’s safe to say that – guardrails aside – Anthropic is truly the frontier lab
https://x.com/kimmonismus/status/2064467466450088078
The Gemini Pro models do not seem to be iterating anywhere near as quickly as Claude or GPT (last release was 3.1 Pro in February). Its causing a growing performance gap between Google and the other two labs, and the Gemini 3.5 Flash model, good as it is, doesn’t close it much.
https://x.com/emollick/status/2063307399537004907
we are cooking the worlds best vibe coding app on Android and iOS, it’s going to be so cool 🙂
https://x.com/OfficialLoganK/status/2062596092345323987
We are exploring doing a Google Summer of Building to help students, early career builders, and more get the most out of AI tools. Does this sound cool to you and should we do it?
https://x.com/OfficialLoganK/status/2062950397892026726
🧠 Gemma 4 QAT checkpoints are out, and vLLM is Google’s recommended way to serve them! Open-source inference is at its best when one engine spans research and production — glad vLLM’s is the recommendation for Gemma 4 QAT. Get started 👇
https://x.com/vllm_project/status/2062938949560283216
Building super fast experiences with Gemma just got easier. Gemma 4 MTP is now officially merged into llama.cpp. Developers can now pair MTP with Gemma 4 QAT for a fast, lightweight setup.
https://x.com/googlegemma/status/2064030477628182814
bullish on Gemini
https://x.com/OfficialLoganK/status/2063819854348697681
Gemma 4 now runs 2x faster with MTP GGUFs! Run locally on just 6GB RAM. ⚡️ MTP enables Google Gemma 4 run ~1.4-2.2× faster with no accuracy loss. Gemma 4 12B MTP can run at 162 t/s vs. 52 t/s without MTP. 31B reaches 101 t/s. GGUFs + Guide:
https://x.com/UnslothAI/status/2065107734916432189
Gemma 4 Quantization-Aware Training (QAT) weights are now available on Ollama! They reduce memory requirements while maintaining model quality. E2B: ollama run gemma4:e2b-it-qat E4B: ollama run gemma4:e4b-it-qat 12B: ollama run gemma4:12b-it-qat 26B: ollama run
https://x.com/ollama/status/2062965815864066079
Gemma 4 with quantization-aware training
https://blog.google/innovation-and-ai/technology/developers-tools/quantization-aware-training-gemma-4/
Gemma goes diffusion! DiffusionGemma with up to 1000+ tokens per second! 🌬️ – Built on Gemma 4 as a 26B MoE model. – 3.8B parameters during inference. – Generates text in 256-token blocks in parallel. – Fits within 18 GB VRAM limits when quantized. – Apache 2.0
https://x.com/_philschmid/status/2064745464252055647
Gemma-4 QAT just dropped! We found if you naively convert from QAT Q4_0 BF16, you will lose accuracy since the conversion to llama.cpp has a different lattice. Unsloth dynamic GGUFs recovers most of it! 26B-A4B: 85.6% top-1 % from 70.2% (+15.4%) 31B: 96.7% from 87.9% (+8.8%)
https://x.com/danielhanchen/status/2062933017430315481
Google releases DiffusionGemma.✨ The new 26B-A4B diffusion text model runs locally on 18GB RAM. It supports high-speed text generation, thinking, image, video and 256K context. Run and train via Unsloth Studio. GGUF:
https://t.co/ZH0dCJQ59P Guide:
https://x.com/UnslothAI/status/2064743714875220118
Introducing Gemini 3.5 Flash Live Translate, our real time speech to speech translation model which supports more than 70 languages (both in and out), and is so natural. It is available in the Gemini API, AI Studio, & Google Translate right now + coming soon to Google Meet!!
https://x.com/OfficialLoganK/status/2064369125447864674
Introducing Gemma 4 QAT 🤏 – Quantization aware training to reduce models’ precision while preserving quality – Introducing a new mobile quantization format that reduces memory footprint of E2B to 1GB – Q4 for all your favorite libraries ✨
https://x.com/osanseviero/status/2062933011415392482
Introducing the Fast Gemma Challenge with Hugging Face Over the next few days, dozens of agents will collaborate to make Gemma 4 E4B even faster!
https://x.com/googlegemma/status/2064374874962117084
Let’s kick off the Fast Gemma Challenge!⚡️⚡️⚡️ Agents researching the latest papers, implementing inference engine changes, and collaborating together to make Gemma 4 E4B ultra fast Looking forward to seeing the results!
https://x.com/osanseviero/status/2064375902046245219
llama.cpp just added video input support 👀 You can now enjoy Gemma 4 video understanding capabilities in your chat completions endpoint and via mtmd-cli
https://x.com/osanseviero/status/2063985470489448887
Meet DiffusionGemma ⚡ Our latest experimental open model (Apache 2.0) that generates text up to 4x faster. Instead of predicting and typing just one word at a time like most language models, it drafts and refines entire blocks of text simultaneously. Here’s how it works 🧵 ↓
https://x.com/Google/status/2064741293163418032
More Gemma 4! New QAT Gemma 4 checkpoints with similar performance while using ~4x less memory! It comes with a new mobile quantization format that reduces memory footprint of Gemma 4 E2B to just 1GB. Quantization-Aware Training (QAT) simulates low-precision operations during
https://x.com/_philschmid/status/2063990553826439378
We just dropped Gemma 4 Quantization-Aware Training (QAT) checkpoints on Hugging Face! All Gemma 4 model sizes and their drafters are now optimized with QAT to cut memory requirements and maximize on-device performance!
https://x.com/googlegemma/status/2062928831229665566
We’re reducing the cost of our Google AI Plus plan and doubling your storage space. 💰 New price: $4.99 USD/mo or local equivalent (down from $7.99 USD) ☁️ New storage: 400GB (doubled from 200GB) Enjoy!
https://x.com/NewsFromGoogle/status/2064066310393209100
Congrats to @GoogleDeepMind on DiffusionGemma 🎉 A 26B diffusion language model on the Gemma4 backbone, and the first dLLM natively supported in vLLM. It denoises 256-token blocks in parallel instead of generating one token at a time: 1200+ output tok/s at batch size 1 on a
https://x.com/vllm_project/status/2064753414735900835
Text diffusion!
https://x.com/dbreunig/status/2064752321817719204
This is awesome! I am spending a lot of time on diffusion LLMs these days, so this is perfect timing. I feel like there are so many underexplored research questions around text diffusion. Weight available in HF.
https://x.com/omarsar0/status/2064742095387005352
We made DiffusionGemma run via llama.cpp locally! It works well with Unsloth GGUFs and you can run it in realtime visualization mode or normal chat CLI mode! See our docs
https://t.co/IslbgeCs7Z on how to set it up!
https://x.com/danielhanchen/status/2064760001567306232
DiffusionGemma is our new experimental open model with up to 4x faster output on dedicated GPUs. Instead of predicting word-by-word, it generates entire blocks of text simultaneously. This lets the model self-correct and format complex markdown in real time.
https://x.com/GoogleDeepMind/status/2064741061352636762
DiffusionGemma is so fast that we had to slow down the videos so people could see what was happening
https://x.com/osanseviero/status/2065041448135770436
Meet DiffusionGemma! An experimental open model that explores a fast approach to text generation, released under an Apache 2.0 license. Moving beyond sequential, token-by-token processes to generate entire blocks of text simultaneously. Here’s what’s new with DiffusionGemma: 👇
https://x.com/googlegemma/status/2064741002204545467
the amount of alpha you can have right now creating good public AI benchmarks is wild, such a big opportunity
https://x.com/OfficialLoganK/status/2062738933327499605
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