Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: The word ‘Google’ lettered in bold Le Parc style across a wide off-white field, each letter constructed from thick concentric ROYGBIV bands — violet outside stepping inward through blue, green, yellow, orange to red — with the double ‘oo’ forming two perfectly nested rainbow ring targets, flat matte screen-print finish, crisp printed edges, tiny clean white gaps where bands cross, generous negative space, 16:9 gallery-poster composition.
We just shipped the ability to build apps that connect to Gmail, Drive, Sheets, and more directly inside of @GoogleAIStudio, no navigating to other sites, you can add testers right inside of AI Studio, with full public sharing coming soon!!
https://x.com/OfficialLoganK/status/2061568290984800740
Alphabet to raise $80 billion from stock sales to fund AI buildout
https://www.cnbc.com/2026/06/01/alphabet-to-raise-80-billion-from-stock-sales-to-fund-ai-buildout.html
Law professors wrote questions they were asked during office hours. Gemini 2.5 & humans answered them then other law professors blindly judged the results: -Gemini had a 75% win rate vs. professors -Gemini’s answers were rated LESS harmful than humans -Newer models do even better
https://x.com/emollick/status/2061876620638486584
Introducing Gemma 4 12B
https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12B/
Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop. It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run
https://x.com/Google/status/2062203526588088452
Over the past year, we’ve collaborated with global scientific experts to evaluate the system on complex problems. It assisted by: identifying new targets for liver fibrosis, uncovering fresh approaches to tackling Amyotrophic lateral sclerosis (ALS), and digested decades of
https://x.com/GoogleDeepMind/status/2061857550438392094
OpenAI, DeepMind, Anthropic CEOs back mandatory DNA synthesis screening A coalition of AI leaders, synthesis-industry executives, biosecurity researchers, and former national-security officials published an open letter in June 2026 urging Congress to make screening and
https://x.com/kimmonismus/status/2062485389949145457
.@GoogleDeepMind’s Gemma 4 – 12B is available on Ollama! Chat: ollama run gemma4:12b-mlx Hermes Agent: ollama launch hermes –model gemma4:12b-mlx Claude Code: ollama launch claude –model gemma4:12b-mlx and more 👇👇👇 (Note, this currently works via MLX)
https://x.com/ollama/status/2062250522598572345
Image editing models can put you on the Moon, but can they precisely move a circle right by 50 pixels? 📐 Introducing 🎨PaintBench: a foundational eval of visual editing operations with only one right answer. The highest-performing model (@NanoBanana 2) reaches only 17.1%.
https://x.com/itskaixu/status/2061827068170518956
Meet Dreambeans, an app that connects you with what matters
https://blog.google/innovation-and-ai/models-and-research/google-labs/dreambeans/
Ok what? Same Training FLOPs as Gemini 3.1 pro?
https://x.com/kimmonismus/status/2061908067034517853
We just shipped the first iteration of API Key breakdown of your Gemini API usage 🗝️, you can now filter your request chart via API key! More granular controls in other areas coming soon : )
https://x.com/OfficialLoganK/status/2061531021955510524
5-Day AI Agents: Intensive Vibe Coding Course With Google | Kaggle
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google
getting started with managed agents in the gemini api: an inside look with @OfficialLoganK, @_philschmid, and @alihcevik
https://x.com/GoogleAIStudio/status/2061452967530701090
Together with @OfficialLoganK and @alihcevik we sat down and discussed the launch of Managed Agents in the Gemini API. We wanted to make building AI Agents much simpler. With just a single API call, you can now spin up an agent that reasons, writes and runs code, and manages
https://x.com/_philschmid/status/2061457703210197273
We believe AI can be a dedicated research partner to help discover the next breakthrough. Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵
https://x.com/GoogleDeepMind/status/2061857539977842793
Alibaba’s Fun-Realtime-TTS takes the #1 spot on the Artificial Analysis Speech Arena Leaderboard, surpassing Google’s Gemini 3.1 Flash TTS and Inworld’s Realtime TTS-2 Research Preview Competition at the top of the TTS Arena is tighter than ever, with just 24 Elo points
https://x.com/ArtificialAnlys/status/2062016529848222073
Fucking cool. Giving AR portal vibes – like watching volumetric video with full 6dof head tracking. Maybe a future version of omni will be converting 2d to 3d video for our immersive displays and glasses.
https://x.com/bilawalsidhu/status/2060943911363690875
i like big splats and i cannot lie. you can now compress, tile and stream city scale 3d gaussian splats — glTF has an official 3DGS extension now too. this is what the future of google earth looks like. no more broccoli trees. no more melted powerlines. immaculate ground
https://x.com/bilawalsidhu/status/2060518632547877359
Google just released Magenta RealTime 2 on Hugging Face The only open-weights model for real-time continuous music generation on device. Steer it with text, audio, or MIDI at ~200ms latency.
https://x.com/HuggingPapers/status/2062260306039259236
New open model Ideogram-4.0-Quality has landed at #8 in the Text-to-Image Arena. This makes the new model by @ideogram_ai the #1 open model in that arena! Scoring 1204, this open model approaches the performance of Nano Banana Pro. Congrats to the @ideogram_ai team on this
https://x.com/arena/status/2062203346996605116
My conversation with @JeffDean, @koraykv, @NoamShazeer, and @OriolVinyalsML (the Gemini co-leads) about the current state of Gemini, how we got here, and where we go next : )
https://x.com/OfficialLoganK/status/2060445313043951652
3 upcoming NotebookLM features we all should be waiting for
https://www.testingcatalog.com/3-upcoming-notebooklm-features-we-all-should-be-waiting-for/
2-bit Gemma 4 12B GGUF, only 4.66 GB on disk, managed to cite 15 sites from a single prompt. Try this locally on >6GB RAM via Unsloth Studio. GitHub:
https://x.com/UnslothAI/status/2062470072179044447
Congrats to the @googlegemma team on the Gemma 4 12B launch 🎉 Day-0 support on vLLM is ready to go. It’s an encoder-free unified multimodal model — text, image, audio, and video all project straight into the LLM’s embedding space, no separate vision or audio towers. 256K
https://x.com/vllm_project/status/2062228047324201166
For the past years my research focus was on unifying models and training paradigms across modalities. Today I’m excited that we’re releasing our latest model aligned with this theme: Gemma 4 12B, a dense encoder-free model which processes raw text, image, and audio inputs! 1/
https://x.com/mtschannen/status/2062236357351579915
Gemma 4 12B can now run locally on just 8GB RAM via Dynamic GGUFs. Google’s new model, Gemma 4 12B Unified supports image, audio and 256K context. You can run and train the model via Unsloth Studio. GGUF:
https://t.co/8cL321pVDh Guide:
https://x.com/UnslothAI/status/2062207258810053084
Meet Gemma 4 12B! A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license. Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇
https://x.com/googlegemma/status/2062202706882883696
Our new unified architecture allows Gemma 4 12B to process multimodal inputs natively. Here’s how ⬇️ Traditional models rely on separate encoders for images and audio. This adds latency and increases memory usage. So we streamlined this: 👁️ Vision: We took a novel approach to
https://x.com/Google/status/2062203532351090824
Today we’re shipping our biggest MLX-VLM release yet: v0.6.0 …and we are raising 💸 This one’s about turning your Apple devices into real local agent machines. From your desk to your pocket. What’s new: ⚡ Speculative decoding everywhere — Gemma 4 EAGLE3 + DFlash, Qwen
https://x.com/Prince_Canuma/status/2061541992790683726
We released Gemma 4 12B yesterday. Here is a visual guide that explains the full architecture. → How encoders typically connect modalities to LLMs → Why Gemma 4 removed the vision and audio encoders → How a single 12B model can handle text, images, and audio without
https://x.com/_philschmid/status/2062546814075609413
We’re launching Gemma 4 12B: Our unified, encoder-free model that brings powerful multimodal intelligence straight to your laptop 🚀 The model bridges the gap between our mobile E4B model and larger 26B MoE models, packaging frontier-class reasoning and native audio into a
https://x.com/googleaidevs/status/2062204432658386950
Ex-DeepMind researchers raised $50M to build AI that figures out which scientific questions are worth asking
https://thenextweb.com/news/inherent-ai-50-million-seed-deepmind-faraday-science
We’re excited to be making Co-Scientist available to individual researchers through Hypothesis Generation as part of Gemini for Science: a collection of experiments and tools exploring the future of AI-powered scientific discovery. Find out more →
https://x.com/GoogleDeepMind/status/2061857553076920643
Omni’s take on rendering the camera path, then the *actual* earth studio render below by tatsuya. I reckon google could turn these into real spatial benchmarks for their ai video models.
https://x.com/bilawalsidhu/status/2060886445770870905
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