open source models

Bilingual

A quote from Thomas Ptacek
2 months ago
- Open-weight models from 2025, when paired with a pentest harness, are capable of executing sandbox escapes and network hacks.
- This capability is only surprising due to assumptions about OpenAI's sandbox security being more robust.
- Thomas Ptacek argues this does not require a frontier model.
Chinese AI Open Weights Grow Safer as American AI Becomes Dead Weight
2 months ago
- Daniel Miessler published a post on July 18 claiming Chinese AI open-weight models are a 'CCP mousetrap' to undermine U.S. AI dominance and influence Taiwan.
- Moonshot's Kimi K3 model is seen as competitive with leading U.S. models like Opus 4.8, challenging previous assumptions about Chinese AI capabilities.
- Miessler's argument relies on predatory subsidy claims, but Moonshot's pricing for K3 aligns with Western rates, contradicting the subsidy narrative.
- Open weights make models permanently available once released, preventing any 'snap' or recall, which undermines the mousetrap analogy.
- Chinese AI growth is driven by industrial policy like the AI Plus directive, fostering open-source ecosystems and market-based competition, not covert plots.
- Claims linking AI developments to Taiwan's reunification or U.S. market selloffs lack evidence and ignore broader economic and political factors.
Free 100M AI tokens for Kimi and MiniMax models
2 months ago
- Offers low-cost and free AI inference options.
- Provides access to open models with zero data retention policies.
- Includes a first 100 million tokens free promotion.
- Features a decentralized GPU network to reduce costs for developers and startups.
- Ensures independence from corporate cloud giants and closed ecosystems.
- Supports commercial use with specialized models ready for real-world tasks.
- Offers a simple API for testing, comparing, and launching models in applications like code generation and chats.
The unbearable cheapness of open weight models
3 months ago
- The user compares AI model pricing, noting that DeepSeek V4 is much cheaper than Anthropic and OpenAI's 'frontier' models, with a nearly 50x price difference based on tokens.
- There's concern that Anthropic and OpenAI have high costs and may not be able to reduce prices significantly to compete with cheaper models like DeepSeek or Xiaomi's Mimo.
- The user questions if lower costs for some models are due to being open-weight and stress-tested by many users, or if they're offered as loss leaders to drive prices down.
- It's suggested that OpenAI and Anthropic maintain high prices by manufacturing scarcity, using luxury branding, and gating access to 'frontier' models as status symbols.
- There's a fear that Anthropic and OpenAI might use China-related fears to push for bans on open-weight models, thereby restricting competition through government intervention.
- The user expresses hope for open-source competition from the US, mentioning examples like Google's Gemma 4, Meta's llama, and Allen AI's OLMO models, which have data cutoffs in Dec 2024.
- A leapfrog scenario for open source is predicted where true open-source models include open-sourced data pipelines for training, as seen in the NSF-Nvidia partnership with Allen AI.

open source models

A quote from Thomas Ptacek

Chinese AI Open Weights Grow Safer as American AI Becomes Dead Weight

Free 100M AI tokens for Kimi and MiniMax models

The unbearable cheapness of open weight models