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The original was posted on /r/artificial by /u/jaketocake on 2023-08-04 19:01:13.


This week in AI - provided by aibrews.com feel free to follow their newsletter

News and Insights

  1. In an innovative clinical trial, researchers at Feinstein Institutes successfully implanted a microchip in a paralyzed man’s brain and developed AI algorithms to re-establish the connection between his brain and body. This neural bypass restored movement and sensations in his hand, arm, and wrist, marking the first electronic reconnection of a paralyzed individual’s brain, body, and spinal cord [Details].
  2. IBM’s watsonx.ai geospatial foundation model – built from NASA’s satellite data – will be openly available on Hugging Face. It will be the largest geospatial foundation model on Hugging Face and the first-ever open-source AI foundation model built in collaboration with NASA [Details].
  3. Google DeepMind introduced RT-2 - Robotics Transformer 2 - a first-of-its-kind vision-language-action (VLA) model that can directly output robotic actions. Just like language models are trained on text from the web to learn general ideas and concepts, RT-2 transfers knowledge from web data to inform robot behavior [Details].
  4. Meta AI released Audiocraft, an open-source framework to generate high-quality, realistic audio and music from text-based user inputs. AudioCraft consists of three models: MusicGen, AudioGen, and EnCodec. [Details | GitHub].
  5. ElevenLabs now offers its previously enterprise-exclusive Professional Voice Cloning model to all users at the Creator plan level and above. Users can create a digital clone of their voice, which can also speak all languages supported by Eleven Multilingual v1 [Details].
  6. Researchers from MIT have developed PhotoGuard, a technique that prevents unauthorized image manipulation by large diffusion models [Details].
  7. Researchers from CMU show that it is possible to automatically construct adversarial attacks on both open and closed-source LLMs - specifically chosen sequences of characters that, when appended to a user query, will cause the system to obey user commands even if it produces harmful content [Paper]
  8. Together AI extends Meta’s LLaMA-2-7B from 4K tokens to 32K long context and released LLaMA-2-7B-32K. [Details | Hugging Face].
  9. AI investment can approach $200 billion globally by 2025 as per the report from Goldman Sachs [Details].
  10. Nvidia presents a new method, Perfusion, that personalizes text-to-image creation using a small 100KB model. Trained for just 4 minutes, it creatively modifies objects’ appearance while keeping their identity through a unique “Key-Locking” technique [Details].
  11. Perplexity AI, the GPT-4 powered interactive search assistant, released a beta feature allowing users to upload and ask questions from documents, code, or research papers [Link].
  12. Meta’s LlaMA-2 Chat 70B model outperforms ChatGPT on AlpacaEval leaderboard [Link].
  13. Researchers from LightOn released Alfred-40B-0723, a new open-source Language Model (LLM) based on Falcon-40B aimed at reliably integrating generative AI into business workflows as an AI co-pilot [Details].
  14. The Open Source Initiative (OSI) accuses Meta of misusing the term “open source” and says that the license of LLaMa models such as LLaMa 2 does not meet the terms of the open source definition [Details]
  15. Google has updated its AI-powered Search experience (SGE) to include images and videos in AI-generated overviews, along with enhancing search speeds for quicker results [Details].
  16. YouTube is testing AI-generated video summaries, currently appearing on watch and search pages for a select number of English-language videos [Details]
  17. Meta is reportedly preparing to release AI-powered chatbots with different personas as early as next month [Details]

🔦 Weekly Spotlight

  1. The state of AI in 2023: Generative AI’s breakout year: latest annual McKinsey Global Survey [Link].
  2. Winners from Anthropic’s #BuildwithClaude hackathon last week [Link].
  3. Open-source project Ollama: Get up and running with large language models, locally [Link].
  4. Cybercriminals train AI chatbots for phishing, malware attacks [Link].

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