🕊 The most powerful model is not always the best choice In AI development, it is increasingly decided not only by the model itself, but also by how the work around it is built - the harness: context, tools, memory and task distribution. In this post we analyze real cases ⬆️ Articles: • OpenAI ARC-AGI and the influence of the architecture of working with the model on the result • Alice AI now chooses LLM for the task itself • CEO of “Alice and Smart Devices” of Yandex: “This is the most important bet in the history of the company” • How to make working with AI agents more effective? At HackAlem AI, it is important not only to choose a strong model, but also to learn how to correctly use its capabilities in a limited time. 🚀
The most powerful model is not always the best choice
Самая мощная модель не всегда лучший выбор.
AI Summary & Key Takeaways
- Самая мощная модель не всегда лучший выбор.
The most powerful model is not always the best choice
Related stories
Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI
High-frequency traders like Jane Street and Hudson River Trading are now racing each other for AI computing power. The article Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI appeared first on The Decoder.
Sam Altman explained how artificial intelligence can start an endless cycle of technological development
🤖 Sam Altman explained how artificial intelligence can launch an endless cycle of technological development. The head of OpenAI believes that the future of AI is not only about creating models that independently improve their own intelligence. There is another mechanism...
This AI Radio Host Speaks Spanish and Backs Immigrants. It’s Winning Over Listeners
Coyotec is bilingual, swears, and tells listeners how to defend themselves against ICE. Its popularity comes as more broadcasters are experimenting with artificial personalities.
AI has learned to anticipate user thoughts. And it seems it will soon be able to control even the agents that control other agents...
🤯 AI has learned to anticipate user thoughts. And it appears it will soon be able to control even the agents that control other agents. A curious feature has appeared in OpenAI Codex. The neural network analyzes conversations, work results, and independently suggests what…
