human many hours… …Deep research marks a significant step toward our broader goal of developing AGI, which we have long envisioned as capable of producing novel scientific research. - OpenAI Deep Work92 Next Frontier For AI = Artificial General Intelligence93 Artificial General Intelligence, or AGI, refers to systems capable of performing the full range of human intellectual tasks – reasoning, planning across domains. Unlike current AI models, which excel within specific (albeit broad) boundaries, AGI would be able to operate fully flexibly across disciplines and solve unfamiliar problems without retraining

undergone rapid development, offering a glimpse into the dawn of Artificial General Intelligence (AGI). In general, the intelligence of an LLM tends to improve as the number of parameters increases, allowing the paper. DeepSeek believes that innovation, novelty, and curiosity are essential in the path to AGI. 28 B. DeepSeek-V2-Lite: A 16B Model Equipped with MLA and DeepSeekMoE B.1. Model Description Architectures

= x == y Z == (S y) = False (S x) == Z = False x /= y = not (x == y) 23 I t i s h ar d t o i m agi n e m an y c as e s w h e r e t h e /= m e t h od w i l l b e an y t h i n g ot h e r t h an t h e h av ai l ab l e , or r e t u r n Nothing i f on e or b ot h ar e n ot ( “f ai l f as t ”) . M an agi n g t h e Nothing c as e s i s ac h i e v e d b y t h e >>= op e r at or , h i d d e n b y t h e do i n g d e p e n d e n t t y p e s , t h e t y p e i t s e l f ge t s n o r m a l i s ed . S o i m agi n e w e w an t t o p r ov e t h e f ol l ow i n g t h e or e m ab ou t t h e r e d u c t i on b e h

= x == y Z == (S y) = False (S x) == Z = False x /= y = not (x == y) 23 I t i s h ar d t o i m agi n e m an y c as e s w h e r e t h e /= m e t h od w i l l b e an y t h i n g ot h e r t h an t h e h av ai l ab l e , or r e t u r n Nothing i f on e or b ot h ar e n ot ( “f ai l f as t ”) . M an agi n g t h e Nothing c as e s i s ac h i e v e d b y t h e >>= op e r at or , h i d d e n b y t h e do i n g d e p e n d e n t t y p e s , t h e t y p e i t s e l f ge t s n o r m a l i s ed . S o i m agi n e w e w an t t o p r ov e t h e f ol l ow i n g t h e or e m ab ou t t h e r e d u c t i on b e h

t o ad d m or e u s e r s . Not i c e t h at u s e r l i s t p age w i l l au t om at i c al l y p agi n at e t h e u s e r e n t r i e s i f t h e r e ar e t oo m an y t o b e d i s p l ay e d i n on e u m n s . An d l i k e t h e u s e r l i s t p age , t h e ad m i n p age al s o p e r f or m s p agi n at i on w h e n t h e r e ar e t oo m an y u s e r e n t r i e s t o b e d i s p l ay e d i n on c r e at e s op h i s t i c at e d Yi i ap p l i c at i on s w i t h ou t w r i t i n g an d m an agi n g c om p l e x c on fi gu r at i on s . O f c ou r s e , Yi i c an s t i l l b e c u s t om i z e

p r i n t x b e c au s e head [] d oe s n ’ t t y p e c h e c k . How e v e r , w e m i gh t i m agi n e a f u n c t i on , unsafeHead, t h at i s i d e n t i c al t o I d r i s ’ head f u n c t i on y) = x == y Z == (S y) = False (S x) == Z = False x /= y = not (x == y) I t i s h ar d t o i m agi n e m an y c as e s w h e r e t h e /= m e t h od w i l l b e an y t h i n g ot h e r t h an t h e h av ai l ab l e , or r e t u r n Nothing i f on e or b ot h ar e n ot ( “f ai l f as t ”) . M an agi n g t h e Nothing c as e s i s ac h i e v e d b y t h e >>= op e r at or , h i d d e n b y t h e do

t o ad d m or e u s e r s . Not i c e t h at u s e r l i s t p age w i l l au t om at i c al l y p agi n at e t h e u s e r e n t r i e s i f t h e r e ar e t oo m an y t o b e d i s p l ay e d i n on e u m n s . An d l i k e t h e u s e r l i s t p age , t h e ad m i n p age al s o p e r f or m s p agi n at i on w h e n t h e r e ar e t oo m an y u s e r e n t r i e s t o b e d i s p l ay e d i n on c r e at e s op h i s t i c at e d Yi i ap p l i c at i on s w i t h ou t w r i t i n g an d m an agi n g c om p l e x c on fi gu r at i on s . O f c ou r s e , Yi i c an s t i l l b e c u s t om i z e

p r i n t x b e c au s e head [] d oe s n ’ t t y p e c h e c k . How e v e r , w e m i gh t i m agi n e a f u n c t i on , unsafeHead, t h at i s i d e n t i c al t o I d r i s ’ head f u n c t i on y) = x == y Z == (S y) = False (S x) == Z = False x /= y = not (x == y) I t i s h ar d t o i m agi n e m an y c as e s w h e r e t h e /= m e t h od w i l l b e an y t h i n g ot h e r t h an t h e h av ai l ab l e , or r e t u r n Nothing i f on e or b ot h ar e n ot ( “f ai l f as t ”) . M an agi n g t h e Nothing c as e s i s ac h i e v e d b y t h e >>= op e r at or , h i d d e n b y t h e do

e s t r i c t ad m i n i s t r at or ac c e s s t o on l y t h os e r e s p on s i b l e f or m an agi n g an d op e r at - i n g t h e R an c h e r s e r v e r . R at i on al e T h e admin p r i v i

y) = x == y Z == (S y) = False (S x) == Z = False x /= y = not (x == y) I t i s h ar d t o i m agi n e m an y c as e s w h e r e t h e /= m e t h od w i l l b e an y t h i n g ot h e r t h an t h e h av ai l ab l e , or r e t u r n Nothing i f on e or b ot h ar e n ot ( “f ai l f as t ”) . M an agi n g t h e Nothing c as e s i s ac h i e v e d b y t h e >>= op e r at or , h i d d e n b y t h e do i n g d e p e n d e n t t y p e s , t h e t y p e i t s e l f ge t s n o r m a l i s ed . S o i m agi n e w e w an t t o p r ov e t h e f ol l ow i n g t h e or e m ab ou t t h e r e d u c t i on b e h