The departures of Ilya Sutskever and Jan Leike have brought to light OpenAI's restrictive NDA, which prevents former employees from criticizing OpenAI under threat of losing their vested equity. CEO Sam Altman responded to the story by promising a fix.
Apple has announced upcoming accessibility features leveraging AI and machine learning, such as Eye Tracking for iPad, iPhone navigation using the front-facing camera, and Vocal Shortcuts that enable Siri to execute tasks via custom sounds. Other upcoming features include Music Haptics for tactile music feedback and advanced speech recognition for atypical speech patterns.
This Hacker News thread compares GPT-4-Turbo, the default model in ChatGPT Plus, to Claude Opus, Anthropic's competing model. Most developers seem to prefer Claude as it is apparently better at coding and engineering work. Its writing style also seems to be preferred, but part of that is due to the recognizability of GPT-4-Turbo's style. OpenAI's app functionalities, like its code interpreter and ability to search the internet, are still big reasons to continue using ChatGPT Plus.
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Building an AI product is hard. Engineers who understand AI are expensive and difficult to find. And there's no way of telling who's legit and who's not.
Inflection AI has unveiled a new leadership led by co-founder Reid Hoffman. Hoffman claims that the startup has 18 months of runway left and that it will double down on building emotional intelligence within AI.
OpenAI paused the "Sky" voice mode for ChatGPT-4o after backlash for allegedly mimicking Scarlett Johansson's voice from the 2013 film Her. The actress is also pursuing legal action against the AI firm.
Google DeepMind introduced the Frontier Safety Framework to address risks posed by future advanced AI models. This framework identifies critical capability levels (CCLs) for potentially harmful AI capabilities, evaluates models against these CCLs, and applies mitigation strategies when thresholds are reached.
Understanding where things are in a 3D scene is challenging. By using language-guided 3D understanding, you can pinpoint semantic labels for objects in 3D space.
LeMeViT is a new approach to reduce computational costs in Vision Transformers by using learnable meta tokens. These tokens efficiently capture key information, improving inference speed.
The Gcore engineering team decided to see what happens if they ran an image classification model on their CDN infrastructure [11]. This white paper has the full details of Gcore's experiment — tuning a WASM-at-the-edge environment for AI inference workloads. Bonus: there
It is easy to download language model weights and run them with a variety of tools. However, it is harder to know exactly what is going on in the code itself. This great tutorial shows every step of reconstructing Llama 3 and running the trained weights.
Researchers have discovered a new security threat for Vision Transformers, a popular AI model. The attack, named SWARM, uses a "switch token" to secretly activate backdoor behavior in a model, making it highly stealthy and dangerous for users.
Meta's Llama 3-70B language model has surpassed rivals in the English Chatbot Arena, excelling at open-ended creative tasks but struggling with more technical prompts. Analysis reveals that Llama 3's win rate decreases as prompts become more challenging and that it is particularly strong with friendly, conversational responses. While Llama 3's approachability may contribute to its success, its overall competitive edge needs further study.
Perplexity AI's CEO Aravind Srinivas is unfazed by Google's AI-driven summaries, suggesting they could harm Google's ad-reliant business model. In this post, he critiques Google's frequent rebranding in response to AI competition while highlighting his company's user-focused approach to ads.
Google's AI chatbot Gemini remains unable to generate images of people, months after pausing the feature due to inaccuracy concerns and racial stereotyping.
The SoundHound Chat AI assistant will leverage Perplexity to provide accurate, up-to-date responses to web-based queries that static LLMs cannot currently answer.
xAI has released the weights and architecture for Grok-1. Grok-1 is a Mixture-of-Experts model with 314 billion parameters. The released model is a raw base model checkpoint from the Grok-1 pretraining phase, which means that it is not fine-tuned for any specific application. It was trained from scratch by xAI using a custom training stack.
Unitree has released the first few details on its G1 Humanoid Agent, a $16,000 robotic helper. The robot is equipped with 3D LiDAR sensors, a depth camera, three-fingered grippers, and a 9,000-mAh battery pack. It can recover from brutal kicks and punches, as seen in the short demo video in the article. At around 35 kg, the robot can fold itself down to 690x450x300-mm proportions for compact carry.
LoRA is a popular way to fine-tune models to inject style or knowledge. This paper explores the trade off between power and forgetting when using LoRAs. The research finds that LoRAs are able to learn less than full fine tuning, but maintain more of the original “out of distribution” performance.
Meta has announced a natively multi-modal model called Chameleon that operates on images and text simultaneously like GPT-4o. It outperforms many alternative models. The Meta team has since far surpassed this work on internal models.
Google's most recent family of models has an updated technical report. There is little information about the models or the data used, but there is significant information about the evaluation and safety measures taken, which is an interesting window into large-scale alignment.
Google has released a model explorer that makes it easy to inspect the computation graph of your models. It can be useful for debugging and performance engineering.
Using GPT-Fast, you can run the most recent Google VLM in real time. This opens up a number of powerful downstream tasks as the model is extremely easy to fine-tune for specific tasks.
Experts is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create a Panel of Experts system with expanded memory and attention to detail.
Google kicked off its I/O developer conference with a two-hour presentation containing a rapid-fire stream of announcements. This article summarizes these announcements into an easy-to-read list. The announcements include Firebase Genkit, an addition to the Firebase platform aimed at making it easier for developers to build AI-powered applications in JavaScript/TypeScript; LearnLM, a family of generative AI models fine-tuned for learning; AI-generated quizzes on YouTube; a new discovery feature for apps in Google Play; scam call detection; Ask Photos, a feature that lets users search across their Google Photos collection using natural language queries; and much more.
Julius AI has launched the first-ever AI code interpreter for the programming language R, potentially revolutionizing how academic researchers perform statistical analysis.