Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many people worldwide to find and summarize information and generate different types of text. Despite their widespread use, these models still have notable limitations.
🛡️
Just a quick checkWe’re checking your connection to prevent automated abuse
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Hidden prompts can plant false memories in AI agents, researchers warn | 0 | 7 | 19-07-2026 |
| 2 | Hidden goals can undermine AI teamwork, study finds | 0 | 8.24 | 06-08-2026 |
| 3 | Study highlights federated and reinforcement learning for natural language processing | 0 | 8.51 | 28-07-2026 |
| 4 | Do AI models still keep getting better, or have they plateaued? | 0 | 5.83 | 22-02-2026 |
| 5 | Comment on On Humphreys opacity, Reverse Engineering, and Social Externalities of LLMs. by Jonathan | 0 | 7 | 06-07-2026 |
| 6 | A case for AI models that understand, not just predict, the way the world works | 5 | 7 | 15-12-2025 |
| 7 | LLM-судье нельзя верить на слово: как построить надёжный гейт и проверить сами тесты | 0 | 12.53 | 28-07-2026 |
| 8 | Насколько LLM похожи на человеческий мозг | 0 | 7.24 | 15-03-2026 |
| 9 | В чём реальная проблема ЛЛМ | -5 | 7 | 03-07-2026 |
| 10 | Conceptual framework for general embodied intelligence | 0 | 7.86 | 27-07-2026 |