Claude 3.5: World’s Most Intelligent Model
Plus: PathChat, a new pathology-specific LLM & A ranking of actually 'open source' AI models.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 302nd edition of The AI Edge newsletter. This edition features Anthropic’s newest, fastest, and most intelligent AI model yet.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🤖 Anthropic’s Claude 3.5 is the world’s most intelligent model
🔬 PathChat: A new pathology-specific multimodal AI copilot
🔍 Not all ‘open source’ AI models are actually open: Here’s a ranking
📚 Knowledge Nugget: AI’s Brain Drain by
Let’s go!
Anthropic’s Claude 3.5 is the world’s most intelligent model
Anthropic is launching Claude 3.5 Sonnet, the first release in the forthcoming Claude 3.5 model family. Claude 3.5 Sonnet shows marked improvement in grasping nuance, humor, and complex instructions and is exceptional at writing high-quality content with a natural, relatable tone. It also operates at twice the speed of Claude 3 Opus and is Anthropic’s strongest vision model yet.
Claude 3.5 Sonnet is now available for free on Claude.ai and the Claude iOS app, while Claude Pro and Team plan subscribers can access it with significantly higher rate limits. It is also available via the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI.
Anthropic is also introducing Artifacts on Claude.ai, a new feature that expands how users can interact with Claude.
Why does it matter?
Claude doesn’t get talked about as much as ChatGPT and Gemini, but it is certainly on the way to winning the race. Even though we take benchmarks with a grain of salt, Claude 3.5 Sonnet certainly raises the industry bar for intelligence, paired with cost-effective pricing.
Anthropic’s pace of improvement from Claude 3 Opus to here is wild to watch.
PathChat: A new pathology-specific LLM
4 state-of-the-art LLMs were presented with an image of what looks like a mauve-colored rock. It’s actually a potentially serious tumor of the eye. When the models were asked about its location, origin, and possible extent,
LLaVA-Med identified it as the inner lining of the cheek
LLaVA said it is in the breast
GPT-4V offered a long, vague response, not identifying where it is at all
But PathChat, a new pathology-specific LLM, correctly pegs the tumor to the eye, informing that it can be significant and lead to vision loss.
PathChat represents a breakthrough in computational pathology. It is a multimodal generative AI copilot and chatbot for human pathology. It can serve as a consultant, of sorts, for human pathologists to help identify, assess, and diagnose tumors and other serious conditions.
Why does it matter?
In practice, it could aid human-in-the-loop diagnosis by providing AI-assisted initial assessments, followed by context from pathologists. This could be especially valuable for complex cases like cancers spreading to other body parts and in low-resource settings with limited access to experienced pathologists.
Not all ‘open source’ AI models are actually open: Here’s a ranking
Tech giants like Meta and Microsoft describe their AI models as ‘open source’ while failing to disclose important information about the underlying technology, say researchers who analyzed a host of popular chatbot models.
Access to code and training data is restricted, but these big firms reap the benefits of the claim and get away with disclosing as little as possible. This practice is known as open-washing. In fact, it's the smaller players who go the extra mile.
So, two language scientists created a league table identifying the most and least open models, assessing whether various components of chatbot models were open (✔), partially open (~), or closed (X).
Why does it matter?
While the study cuts through much of the hype and fluff surrounding the current open-sourcing debate, ‘full’ openness of these models is crucial for efforts to make AI accountable.
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Knowledge Nugget: AI’s Brain Drain
In an interesting post,
discusses the changing landscape of AI research and development, focusing on two main issues:Academic brain drain: Many AI researchers are leaving academia for high-paying jobs in the tech industry, which has access to more resources (like computing power and data) for AI development. This shift raises concerns about the future of independent academic research in AI.
Immigration challenges: The article highlights how outdated immigration policies are making it difficult for talented foreign AI researchers and students to stay and work in the U.S., potentially causing the country to lose valuable expertise to other nations.
The article also mentions some recent initiatives and proposed legislation addressing these issues.
Why does it matter?
The article argues for increased government support for academic AI research and updated immigration policies to retain top AI talent. These problems could hinder innovation, reduce public-interest research, and weaken US's competitive edge in AI.
What Else Is Happening❗
🎯Target plans to roll out a Gen AI tool for its store members across the U.S
The Gen AI-powered chatbot, Store Companion, will make team members' jobs easier and enhance customer shopping experience. It will answer on-the-job process questions, coach new members, support store operations management, and more. (Link)
💼Zendesk launches a global venture fund to back AI startups
The provider of the most complete AI solution for CX in the market has launched Zendesk Ventres. It will back AI-first companies focused on enhancing customer and employee experiences, like its two new portfolio additions, PolyAI and unitQ. (Link)
⚖️Forbes threatens legal action against Perplexity AI for "ripping off" its reporting
Forbes called out Perplexity on X for not prominently citing Forbes for its reportings in “Perplexity Pages” while elevating other news coverages in its citations. It also accused Perplexity of ripping off multiple articles from publications like CNBC and Bloomberg. Wired too suspects Perplexity is behind a "secret IP address" scraping its content. (Link)
🛠️Wayve introduces PRISM-1, a 4D scene reconstruction model from video data
Picture-perfect real-world reconstruction! PRISM-1 is Wayve’s data-learned, photorealistic 4D (3D in space + time) reconstruction model advancing testing and training of Advanced driver-assistance systems (ADAS) and autonomous driving tech. (Link)
💡Dell is building an AI factory with Nvidia to power Elon Musk’s Grok AI
CEO Michael Dell announced on X they are building a “Dell AI factory” for Elon Musk's startup xAI. It will house NVIDIA GPUs, which will be instrumental in training xAI’s Grok models. Super Micro could also be in on this, as it confirmed its partnership with xAI to Reuters. (Link)
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