❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers W&B+Stable Diffusion: https://wandb.ai/capecape/stable_diffusions/reports/Speed-Up-Stable-Diffusion-on-Your-M1Pro-Macbook-Pro--VmlldzoyNjY0ODYz 📝 The paper "High-Resolution Image Synthesis with Latent Diffusion Models" is available here: https://arxiv.org/abs/2112.10752 Try it: Web 1: https://huggingface.co/spaces/stabilityai/stable-diffusion Web 2: https://beta.dreamstudio.ai/generate Web 3 (also Stable Diffusion XL!): https://clipdrop.co/stable-diffusion Web 4 (notebooks): https://github.com/TheLastBen/fast-stable-diffusion Guide: https://stable-diffusion-art.com/know-these-important-parameters-for-stunning-ai-images/#Sampling_methods Draw Things app: https://drawthings.ai/ Stable Diffusion Web UI: https://github.com/AUTOMATIC1111/stable-diffusion-webui Photoshop integration: http://stable.art Sources: Video https://twitter.com/dreamwieber/status/1618453304970997762 Photorealistic image: https://twitter.com/DiffusionPics/status/1619444407937241089 Realistic vision: https://civitai.com/models/4201?modelVersionId=29461 Infinite zoom: https://twitter.com/hardmaru/status/1612134809924685825 Tiled texture: https://stackoverflow.com/questions/24319825/texture-tiling-with-continuous-random-offset Stable.art (Photoshop): https://github.com/isekaidev/stable.art Wand - drawing: https://twitter.com/wand_app/status/1604186054923210752 Texturing: https://twitter.com/CarsonKatri/status/1600248599254007810 + https://twitter.com/CarsonKatri/status/1603419328019169280 AR + assistant: https://twitter.com/StrangeNative/status/1569700294673702912 Metahumans: https://twitter.com/CoffeeVectors/status/1569416470332858372 My latest paper on simulations that look almost like reality is available for free here: https://rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: https://www.nature.com/articles/s41567-022-01788-5 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Twitter: https://twitter.com/twominutepapers Web: https://cg.tuwien.ac.at/~zsolnai/

Google puts it foot on the accelerator, casting aside safety concerns to not only release a GPT 4 -competitive model, PaLM 2, but also announce that they are already training Gemini, a GPT 5 competitor [likely on TPU v5 chips]. This is truly a major day in AI history, and I try to cover it all. I'll show the benchmarks in which PaLM (which now powers Bard) beats GPT 4, and detail how they use SmartGPT-like techniques to boost performance. Crazily enough, PaLM 2 beats even Google Translate, due in large part to the text it was trained on. We'll talk coding in Bard, translation, MMLU, Big Bench, and much more. I'll end on the Universal Translator deepfakes and the underwhelming results from Sundar Pichai and Sam Altman's trip to the White House and what Hinton says about it all. On a more positive note, I cover Med PaLM 2, which could genuinely save thousands of lives. PaLM 2 Technical Report: https://ai.google/static/documents/palm2techreport.pdf Release Notes Google Blog: https://blog.google/technology/ai/google-palm-2-ai-large-language-model/ Bard Access: https://bard.google.com/ Scaling Transformer to 1M tokens: https://arxiv.org/pdf/2304.11062.pdf GPT 4 Technical Report: https://arxiv.org/pdf/2303.08774.pdf Bard Languages: https://support.google.com/bard/answer/13575153?hl=en Self Consistency Paper: https://arxiv.org/pdf/2203.11171.pdf Are Emergent Abilities a Mirage: https://arxiv.org/pdf/2304.15004.pdf Sparks of AGI Paper: https://arxiv.org/pdf/2303.12712.pdf Big Bench Hard: https://github.com/suzgunmirac/BIG-Bench-Hard Google Keynote: https://www.youtube.com/watch?v=cNfINi5CNbY Gemini: https://www.youtube.com/watch?v=1UvUjTaJRz0 Med PaLM 2: https://www.youtube.com/watch?v=k_-Z_TkHMqA TPU v5: https://ai.googleblog.com/2022/01/google-research-themes-from-2021-and.html Hinton Warning: https://www.youtube.com/watch?v=FAbsoxQtUwM White House Readout: https://www.whitehouse.gov/briefing-room/statements-releases/2023/05/04/readout-of-white-house-meeting-with-ceos-on-advancing-responsible-artificial-intelligence-innovation/ https://www.patreon.com/AIExplained