Controversy surrounding distillation Competitors Steal by Distillation A major concern surrounding open-source AI is model distillation, where smaller models are trained using the output of larger models. Recent high-profile cases include allegations that Chinese developers Alibaba and Moonshot AI distilled Anthropic’s Claude model and used it to build their own systems. Distillation is Inevitable used … Continue reading “AI Model Distillation’s Controversy and Facts”
Category: Software
Why companies support Open Weights AI models or oppose?
Why companies support Open Weights AI models or oppose? It lies in their respective commercial interests; this is also why Anthropic did not sign.
How cheap are Chinese AI models cost?
Based on currently publicly disclosed market prices and industry consensus, the Chinese AI models cost is at least one-tenth, or even less, of the cost of similar AI models in the United States.
Oversold software, moat weaken and should abandon
In the AI era—Oversold software, moat weaken and should abandon, the table.
Oracle growth drivers in the future and the biggest investment risk: TikTok US, Data center, AI database
The following three areas will be Oracle growth drivers in the future.
Tech giants’ AI strategy are shifting
Investors who follow the US stock market will undoubtedly notice that the five top tech giants are quietly undergoing a significant shift in their AI strategy.
Innodata road to fame
Innodata’s core business is now focused on the generative AI IT services market, which is expected to reach $200 billion by 2029 and holds significant growth potential.
The pros and cons of investing in Alphabet amid AI evolution
Because Alphabet’s business is so vast and complex, it’s difficult to discuss the pros and cons of investing in Alphabet.
Some AI software vendors are starting to make money
2025 Q2 report shows AI software can make big money; category one is five tech titans; category two is Reddit, Palantir, Figma, and Oracle.
Software hit hard by AI
Software hit hard by AI, seen worldwide, with Morgan Stanley’s index of software-as-a-service (SaaS) stocks trading this month at 23 times expected earnings. That’s half its average over the past decade and the lowest level in Bloomberg data going back to 2014.