Prem AI
Overview
Prem is a self-sovereign AI infrastructure tool that aims to accelerate the development and adoption of privacy-centric open-source AI models. It provides several features and benefits for developers and organizations working with AI.One of the main features of Prem is its intuitive desktop application, called Prem App.
This application allows users to easily deploy and self-host open-source AI models without exposing sensitive data to third parties. It prioritizes privacy by enabling users to maintain control over their own data.Additionally, Prem offers the option of using its cloud infrastructure, known as Prem Cloud, which combines the benefits of on-premise deployment with end-to-end encryption in a cloud environment.
Users can join the waitlist to be among the first to access this privacy-centric infrastructure.With Prem, developers can seamlessly implement machine learning models through a user-friendly interface similar to OpenAI's API.
It aims to simplify the complexities of inference optimizations, enabling rapid iterations, instant results, and faster development, testing, and deployment of AI models.One of the core values of Prem is privacy.
It ensures that users' keys and models are protected through end-to-end encryption, providing a secure environment for AI development and deployment.Overall, Prem is a valuable tool for developers and organizations looking to enhance their AI capabilities while maintaining privacy and control over their data.
Releases
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Building reliable, interpretable AI systemsClaude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
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Gemini: Google's most capable AI model yet
Tealgreen🙏 403 karmaMar 29, 2025@GeminiThey nailed it. It’s better than 3.7 at coding. -
Frontier AI in your handsI just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further
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Run powerful AI models locally on your machine.
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Open-source AI models for customization and deployment.A huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. I’ll be skipping this version.
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First sub-quadratic LLM for 12M-token reasoning tasks.
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