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Description

Claude Mythos 5.1 represents Anthropic's latest advancement in the Mythos-class of models, tailored for sophisticated applications in cybersecurity, biology, scientific investigation, programming, and extensive knowledge-oriented tasks. While it shares the same foundational architecture as Claude Fable 5.1, it is differentiated by unique safety measures: Fable 5.1 is widely accessible, whereas Mythos 5.1 is limited to select trusted access programs designed with specific safeguards for cybersecurity and life sciences research. This model establishes a new benchmark in performance for autonomous coding and showcases unparalleled cyber capabilities among all Anthropic models released thus far. In the realm of scientific research, Mythos 5.1 can effectively handle specialized tools and intricate workflows related to molecular design, computational biology, and various technical fields. During testing by Anthropic, it successfully engineered high-affinity protein binders for multiple targets, achieving its highest recorded hit rate to date. Additionally, it demonstrated proficiency in optimizing seven different open-source deep learning models focused on protein and genomics. By pushing the boundaries of what is possible, Mythos 5.1 is positioned to make significant contributions to future research and development endeavors.

Description

ESMFold demonstrates how artificial intelligence can equip us with innovative instruments to explore the natural world, akin to the way the microscope revolutionized our perception by allowing us to observe the minute details of life. Through AI, we can gain a fresh perspective on the vast array of biological diversity, enhancing our comprehension of life sciences. A significant portion of AI research has been dedicated to enabling machines to interpret the world in a manner reminiscent of human understanding. However, the complex language of proteins remains largely inaccessible to humans and has proven challenging for even the most advanced computational systems. Nevertheless, AI holds the promise of unlocking this intricate language, facilitating our grasp of biological processes. Exploring AI within the realm of biology not only enriches our understanding of life sciences but also sheds light on the broader implications of artificial intelligence itself. Our research highlights the interconnectedness of various fields: the large language models powering advancements in machine translation, natural language processing, speech recognition, and image synthesis also possess the capability to assimilate profound insights about biological systems. This cross-disciplinary approach could pave the way for unprecedented discoveries in both AI and biology.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Bash Yes 
Bolt.new Yes 
CSS Yes 
Cheaper Inference Yes 
Claude Yes 
Claude Max Yes 
ClickUp Brain Yes 
Cursor Yes 
Emergent Yes 
GitHub Yes 
Go Yes 
Lovable Yes 
OpenCode Yes 
Oxen.ai Yes 
Perplexity Computer Yes 
Shipper.now Yes 
Sup AI Yes 
Visual Basic Yes 
WebStorm Yes 
Xcode Yes 

Integrations

Bash No 
Bolt.new No 
CSS No 
Cheaper Inference No 
Claude No 
Claude Max No 
ClickUp Brain No 
Cursor No 
Emergent No 
GitHub No 
Go No 
Lovable No 
OpenCode No 
Oxen.ai No 
Perplexity Computer No 
Shipper.now No 
Sup AI No 
Visual Basic No 
WebStorm No 
Xcode No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

claude.ai

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

github.com/facebookresearch/esm

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