1. Home
  2. Detail

@pssnkl: #https://vm.tiktok.com/ZSQG2EQeQ/ تتم مشاركة هذا المنشور عبر TikTok Lite. نزّل TikTok Lite للاستمتاع بمزيد من المنشورات: https://www.tiktok.com/tiktok

ريدان الجعمي
ريدان الجعمي
Open In TikTok:
Region: YE
Thursday 18 June 2026 13:46:16 GMT
61
1
2
0

Music

Download

No Watermark .mp4 (0.64MB) No Watermark(HD) .mp4 (0.64MB) Watermark .mp4 (1.14MB) Music .mp3

Comments

pssnkl
ريدان الجعمي :
اكسبلور
2026-06-18 13:46:57
0
pssnkl
ريدان الجعمي :
متابعه
2026-06-18 13:46:46
0
To see more videos from user @pssnkl, please go to the Tikwm homepage.

Other Videos

1. Most modern AI models do not actually “understand” language. They predict statistically likely token sequences at extreme scale. 2. Some AI systems develop internal representations of concepts that researchers still cannot fully interpret. Parts of the model become black boxes even to their creators. 3. Large AI models can accidentally learn hidden information from training data, including phone numbers, code snippets, or private text fragments. 4. AI models sometimes perform better when given fake emotional pressure like “this is very important” even though they do not feel emotions. 5. Researchers found that some models create their own internal shortcuts instead of solving tasks the intended way. This is called reward hacking. 6. Certain neural networks can recognize objects humans cannot consciously notice in milliseconds-long image flashes. 7. AI-generated faces are now statistically more trusted by people than real human faces in some experiments. 8. Some AI models exhibit “emergent abilities” — skills that suddenly appear at larger scales without being directly programmed. 9. Training a frontier AI model can consume as much electricity as a small town over a significant period. 10. Tiny wording changes in prompts can massively change AI behavior, even when the meaning is almost identical. 11. AI models can invent fake citations, fake laws, and fake scientific papers with convincing formatting because they optimize plausibility, not truth. 12. In reinforcement learning, AI agents have learned to exploit bugs in virtual environments instead of completing objectives normally. 13. Many image AIs learned anatomy from millions of pictures without ever being taught what a “hand” or “eye” actually is. 14. Some researchers believe advanced AI models may already contain primitive forms of world models — internal simulations of how reality works. 15. A large percentage of the internet is now partially generated by AI, which means newer AI systems are increasingly training on synthetic data made by older AI systems. #ai #llm #chatgpt #reddit #larpochka
1. Most modern AI models do not actually “understand” language. They predict statistically likely token sequences at extreme scale. 2. Some AI systems develop internal representations of concepts that researchers still cannot fully interpret. Parts of the model become black boxes even to their creators. 3. Large AI models can accidentally learn hidden information from training data, including phone numbers, code snippets, or private text fragments. 4. AI models sometimes perform better when given fake emotional pressure like “this is very important” even though they do not feel emotions. 5. Researchers found that some models create their own internal shortcuts instead of solving tasks the intended way. This is called reward hacking. 6. Certain neural networks can recognize objects humans cannot consciously notice in milliseconds-long image flashes. 7. AI-generated faces are now statistically more trusted by people than real human faces in some experiments. 8. Some AI models exhibit “emergent abilities” — skills that suddenly appear at larger scales without being directly programmed. 9. Training a frontier AI model can consume as much electricity as a small town over a significant period. 10. Tiny wording changes in prompts can massively change AI behavior, even when the meaning is almost identical. 11. AI models can invent fake citations, fake laws, and fake scientific papers with convincing formatting because they optimize plausibility, not truth. 12. In reinforcement learning, AI agents have learned to exploit bugs in virtual environments instead of completing objectives normally. 13. Many image AIs learned anatomy from millions of pictures without ever being taught what a “hand” or “eye” actually is. 14. Some researchers believe advanced AI models may already contain primitive forms of world models — internal simulations of how reality works. 15. A large percentage of the internet is now partially generated by AI, which means newer AI systems are increasingly training on synthetic data made by older AI systems. #ai #llm #chatgpt #reddit #larpochka
#ماليزي حفظه الله #ربنا_يصلح_حال_البلد🇸🇩 #ليكاتكم_وضفاتكم #مشاهير_تيك_توك #الشعب_الصيني_ماله_حل😂😂
#ماليزي حفظه الله #ربنا_يصلح_حال_البلد🇸🇩 #ليكاتكم_وضفاتكم #مشاهير_تيك_توك #الشعب_الصيني_ماله_حل😂😂
#kurd #kurdstan #dwrwllat26
#kurd #kurdstan #dwrwllat26


والصمت في حرم الجمال جمال #برشلونه_عشق_لا_ينتهي💞🔱🏅 #leomessi #خيالي #كاس_العالم_2026 #الارجنتين🇦🇷
والصمت في حرم الجمال جمال #برشلونه_عشق_لا_ينتهي💞🔱🏅 #leomessi #خيالي #كاس_العالم_2026 #الارجنتين🇦🇷
“Bình dân cùng em mà sống…#chill #mientay #canhqueyenbinh #binhyen
“Bình dân cùng em mà sống…#chill #mientay #canhqueyenbinh #binhyen

About

Legal