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- Mystery AI model sparks Q* rumors
Mystery AI model sparks Q* rumors
PLUS: AI breakthrough predicts diseases
Rowan Cheung
August 08, 2024
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Welcome, AI enthusiasts.
A mysterious AI model just surfaced in the LMSYS Arena, reportedly outperforming GPT-4o in advanced reasoning in early tests.
With Sam Altman also coincidentally dropping cryptic tweets, are we finally witnessing the launch of OpenAI’s top-secret Q* model? Let’s get into it…
In today’s AI rundown:
Sam Altman teases ‘Project Strawberry‘
AI breakthrough accurately predicts diseases
Create lifelike AI narration videos in minutes
OpenAI bets $60M on webcams
5 new AI tools & 4 new AI jobs
More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
OPENAI
Image source: Midjourney
The Rundown: A new unknown AI model has appeared in the LMSYS Chatbot Arena, igniting rumors that it could be OpenAI's highly anticipated Q* AI breakthrough or its evolution — codenamed 'Strawberry'.
The details:
A new ‘anonymous-chatbot’ appeared in the LMSYS Chatbot Arena — an open-source platform where AI startups often test upcoming releases.
Previously, OpenAI tested GPT-4o with gpt2-chatbot two weeks before releasing it to the public, which put the arena on high alert for new AI models.
Testers of “anonymous-chatbot” report that it shows more advanced reasoning than GPT-4o and any other frontier model.
To add fuel to the speculation, Sam Altman tweeted a picture of a Strawberry on X, which is the codename of OpenAI’s reported secret AI model.
Why it matters: As competitors like Anthropic and Meta start to catch up to GPT-4o, the Internet has been eagerly awaiting OpenAI's next move. If this mystery model is indeed Q*/Strawberry, then we could be on the cusp of another seismic shift in AI capabilities.
TOGETHER WITH TENSORWAVE
The Rundown: TensorWave Cloud’s latest development allows the Llama 3-70B model to process 1M tokens of context with a single GPU — setting new standards for real-time AI interactions.
This breakthrough enables:
Enhanced real-time chat enabling more dynamic, interactive applications
Optimized performance through AMD's state-of-the-art MI300X GPUs
Scalable, cost-effective solutions for deploying large language models
Click here to learn more and see demos of the 1M context capabilities in action.
AI RESEARCH
Image source: ARXIV
The Rundown: Researchers have just developed an AI model that can predict major diseases like heart conditions, diabetes, and cancer — significantly outperforming existing methods.
The details:
The new model analyzes patient data using statistics and deep learning to spot disease indicators more accurately.
It employs a smart algorithm (SEV-EB) to identify crucial health markers, helping doctors prioritize the most relevant patient information.
This achieves 95% accuracy in predicting specific diseases like coronary artery disease, type 2 diabetes, and breast cancer.
It also leverages patients' digital health records for personalized risk assessment and earlier healthcare interventions.
Why it matters: Remember when AlphaFold cracked the protein folding problem? This could be healthcare's next big AI moment. By significantly improving disease prediction accuracy, this model could transform early diagnosis and treatment planning to help save millions of lives across the globe.
AI TRAINING
The Rundown: RenderNet's new Narrator feature allows you to produce realistic videos of AI characters narrating any script with perfect lip sync.
Step-by-step:
Visit RenderNet's website and create a free account to get started.
Click "Try Narrator" on your dashboard to open the creation interface.
Upload your source video (MP4, 2560p or lower, 60fps or lower).
Optional: Upload a face image for a custom narrator appearance.
Choose an AI voice, write your script in any supported language, and hit 'Generate'.
Pro tip: For best results, use a source video with clear facial features and minimal background movement.
PRESENTED BY LAMBDA
The Rundown: Lambda's 1-Click Clusters bring Meta's state-of-the-art Llama 3.1 405B model to your fingertips, revolutionizing AI accessibility for businesses and researchers.
Lambda's 1-Click Cluster lets you:
Deploy Llama 3.1 405B easily with a step-by-step tutorial
Run at full precision (FP16) with multi-node setup
Maximize performance with NVIDIA H100 Tensor Core GPUs
Deploy Llama 3.1 405B on Lambda Cloud with this free step-by-step guide.
OPAL
Image source: Opal
The Rundown: OpenAI is reportedly leading a $60 million Series B funding round for Opal, a company known for high-end webcams, with plans to develop AI-powered consumer devices.
The details:
Opal plans to expand beyond high-end webcams and develop creative tools powered by OpenAI’s AI models.
The startup will work closely with OpenAI researchers to prototype various device ideas.
OpenAI executives are reportedly most interested in integrating their new voice AI models into Opal’s devices.
Why it matters: OpenAI's $60 million bet on Opal and Sam Altman's personal investments in AI hardware startups signals a major push from the AI giant to bring advanced AI from the cloud directly into users' hands.
NEW TOOLS & JOBS
🧠 Flowith - AI-powered idea flow for deep work
🎙️ Adobe Podcast - AI audio enhancement and collaboration
🎥 CogVideoX-2B - Open-sourced Sora-like AI video generator
🐻 Brainybear - Train AI chatbots in 3 clicks
🎓 Semantic Scholar - Research search tool for scientific literature
QUICK HITS
Mistral AI launched model customization, an early version of Agents, and a stable SDK to simplify generative AI application development.
Google announced a new Gemini AI-powered TV streamer, replacing Chromecast with advanced smart home and entertainment features.
Audible began testing the AI-powered search feature "Maven" to provide personalized audiobook recommendations based on user queries.
Wendy's introduced Spanish AI ordering in Florida drive-thrus, enhancing accessibility for Spanish-speaking customers.
Intel reportedly declined an opportunity to invest in OpenAI in 2017, missing early entry into the AI market due to doubts about AI's near-term potential.
Verizon deployed AI and machine learning to predict and prevent fiber cuts, enhancing network protection efforts.
THAT’S A WRAP
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