The video covers various updates and advancements in the field of AI, including new models, datasets, and tools, as well as breakthroughs in neuroscience and physics, and proposes a portfolio approach to address the uncertainty of AI's future impact.

• 🤖
  00:00

  Google and Microsoft integrate AI into their workspace, Anthropic releases a highly trained chatbot, Llama runs on old smartphones, and OpenAI announces the release of their new GPT4 model.

  • This week in AI, Google and Microsoft announced new AI integrations for their workspace features, Anthropic released a highly trained chatbot, Llama can now run on old smartphones, and OpenAI announced the release of their new and improved GPT4 model.
  • Microsoft Germany's CTO announced the imminent release of GPT-4, a multi-modal AI model with video capabilities, but some are skeptical of the announcement's validity.
  • There is a small chance that the announcement of GPT-4 was true, but it is more likely that the speaker misspoke, and instead, GANs are making a comeback in image generation.
  • The paper presents a method for scaling up GANs for text to image synthesis, using a styleGAN approach with different conditioning information at different resolutions, resulting in beautiful and controllable images.
  • Gans are making a comeback and their potential for super fast image generation opens up new possibilities for research and applications.
  • The speaker attempted to use a recipe generator but was unable to receive a recipe due to including non-edible ingredients.
• 🚨
  08:44

  Samsung's Moon shots are fake and proof has been presented, but they may be using a super resolution model to enhance blurry images instead of replacing the moon with a texture.

  • Samsung's Moon shots are fake and proof has been presented, gaining support for the accusation.
  • Samsung makes phones with good cameras and AI models to enhance pictures, with a specific focus on pictures of the sky and night sky.
  • A blurred NASA picture of the Moon was upscaled and photographed on a phone screen, revealing information not present in the original image.
  • Samsung may not be replacing the moon with a texture, but instead using a super resolution model to enhance blurry images by inventing details based on learned data.
  • The Moon's tidal lock causes us to always see the same side, leading to a super resolution model of the Moon just applying the same texture over and over again rather than learning to generalize and upsample.
• 📚
  13:51

  Learn how to use Weights and Biases as an MLOP system through a free course that covers model development, data treatment, and reproducibility.

  • Weights and biases has sponsored an entire team account to the open assistant effort and offers a free course on effective machine learning.
  • The free course on model development covers building a prototype, evaluating and improving the model, treating data, and making things reproducible using a resnet baseline in fast Ai.
  • Learn how to use weights and biases as an MLOP system through a free course that guides you with live code examples and videos.
  • Data portraits are a framework and algorithm for conducting data membership checks without having to ship around all of the data.
  • The authors propose using Bloom filters, which are an approximation method that amounts to about 3% of the original data, to check if a particular string was in the data set used to train a model, allowing for a smaller and more efficient piece of code and data to be shipped.
  • Meta AI research releases Data Portraits, a self-supervised learning algorithm for speech, text, and images, which is available in the fair SEC package and based on mask language modeling.
• 🤖
  19:46

  Hugging Face introduces gated models to their Hub, allowing uploaders to specify user requirements before downloading a model, but this goes against their open-source AI charter.

  • Hugging Face introduces gated models to their Hub, allowing uploaders to specify user requirements before downloading a model.
  • Users can request manual approval to download models and uploaders will have access to the provided data, but adding usage restrictions goes against the interpretation of Open Source.
  • Hugging Face has implemented a new policy that goes against their open-source AI charter, but users can still interact with their API using the JavaScript library hoggingface.js and Microsoft has released an open-source code for their visual chat GPT system.
  • The speaker discusses the use of prompt engineering in natural language processing to interact with images and generate desired outputs.
• 🔍
  23:32

  Bing's activation of chat GPT on their search engine is attracting new daily users, but it's unclear if they will continue to use it regularly. 💬 Meta AI introduces a new data set to evaluate algorithms across different languages and regions. 🤖 Anthropic proposes a portfolio approach to address the uncertainty of AI's future impact and suggests conducting research in a wide array of regions. 🧮 Magnus Hummer's learned Transformer improves the proof rate in the Thor proof system. 📝 Baldur is a proof generation and repair system that uses large language models to create or repair entire proofs at once.

  • Bing has over 100 million daily active users and is seeing an influx due to the activation of chat GPT on their search engine, which allows for a new way of using a search engine, but the high ratio of new daily users can be due to both acquiring new users and users trying it once and never returning.
  • Meta AI introduces a new data set called casual conversations V2, featuring 26,467 video monologues from 5,567 paid participants, to evaluate algorithms across different languages, regions, and people.
  • Anthropic's blog post on AI safety proposes a portfolio approach to address the uncertainty of AI's future impact, with optimistic, intermediate, and pessimistic scenarios.
  • Anthropic suggests conducting research in a wide array of regions and being prepared for all scenarios until more information is learned about AI safety.
  • Magnus Hummer, a learned Transformer, replaces the previous state-of-the-art system Sledgehammer in premised selection for mathematical proofs, improving the proof rate from 57 to 71 in the Thor proof system.
  • Baldur is a proof generation and repair system that uses large language models to create or repair entire proofs at once.
• 🔍
  29:35

  Deep symbolic regression for physics uses unit constraints to increase the number of recovered physical laws, Llama repository's license may change, Meta makes model open source, Google releases palm e and embodied multimodal language model, and develops language model for robots.

  • Deep symbolic regression for physics uses unit constraints to reduce the search space of possible equations and increase the number of recovered physical laws.
  • The Llama repository's license may change from a non-commercial license to Apache 2.0.
  • A pull request has been made to make a model fully open source to avoid unnecessary CO2 and compute expenditure and improve the image of Meta in the eyes of the community.
  • The release of the palm e and embodied multimodal language model by Google and Tu Berlin may violate open AI terms of service, and it remains to be seen how this will be handled.
  • The multi-modal model can input text and images by embedding tokens and can mix different types of tokens such as text, image, instructions, trajectories, and positions.
  • Google has developed a language model to empower their robots to perform various tasks, although there is limited information available about the model.
• 🎤
  35:46

  Google releases speech model for 100+ languages, outperforming Open AI and YouTube, and introduces method for adding grounding information to pre-trained models for more accurate image generation.

  • Google has released a speech model for over 100 languages using pre-training on large data sets and fine-tuning on task-specific paired data, which improves performance on less frequent languages.
  • Google's speech transcription model outperforms Open AI and YouTube's internal caption generation, potentially leading to better subtitles on YouTube, and their Gilgan model shows promise in text to image generation.
  • Grounding in pre-training allows for extra information to be inputted, such as object positions and style images, resulting in more specific and accurate image generation.
  • The paper introduces a method of adding grounding information to pre-trained models, allowing for spatially counter factual generations and the placement of objects not mentioned in the text caption.
• 🧠
  39:51

  The first complete map of an insect brain, called a connectome, has been released, showing all neurons and their connections, which is an order of magnitude larger than previous connectomes and a significant contribution to the world of science.