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@aztecachiapas_: Y el Óscar es para... 🏆🐶🎭 Nivel de dramatismo: 10/10. Si el hambre agudiza el ingenio, este perrito ya se graduó con honores. 🥩🎬😂 #ActuaciónDeÓscar #LomitoDramático #PerritosChistosos #Viral #HumorAnimal

aztecachiapas_
aztecachiapas_
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Region: MX
Tuesday 22 September 2026 01:30:00 GMT
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Comments

ana.elizabeth.tab3
Ana Elizabeth Taboada Sanchez :
Dale un OSCAR, mejor actor 2026 , película EL HAMBRIENTO.
2026-10-03 16:07:31
1291
marlene.ivon.monr
Marlene Ivon Monroy :
Ya hasta firulais a aprendió a engañar 🤔🤭🤣🤣🤣
2026-10-04 04:18:33
77
los.temerarios.oficial
Los.temerarios.502 :
es IA pero me dio risa 😂😂
2026-10-03 19:42:57
142
sfaridhe
Faridhe🎶🇧🇴 :
Si así nos engañan las personas porque no creerle a ellos 😂
2026-10-03 17:53:28
223
ayala77778
@yala🐊⚡ :
el perro
2026-09-22 01:40:05
135
tomate_un_mate2025
𝑻𝒐𝒎𝒚🇦🇷 :
nadie se da cuenta q es ia
2026-10-04 15:40:10
27
vaquero_moreno_
vaqueromoreno185 :
el pollo hizo el milagro
2026-10-03 05:48:31
58
sr_reparte_colagenos69
🌀📯Caleb Mendoza📯🌀 :
hasta yo caí 😂
2026-10-03 13:56:48
23
aluz_diosaurio
aluz.DIOsaurio :
IA
2026-10-04 13:48:34
3
ronnyramirez51
Ronny R. :
El si es un artista de película ❤️❤️
2026-10-04 21:38:27
4
thiagoelchistosoxd
Thiago el nose XD🇧🇴🇧🇴 :
wow que buenís(I)mo denle un osc(A)r
2026-10-03 23:59:55
31
claudiagalleguill37
paola :
se merece un OSCAR ,por mejor actor .😁😁
2026-10-09 17:30:17
6
johangil123
johander :
hasta los perros ya andan estafando 😂😳
2026-10-05 17:06:29
7
camila.prez.orteg
Jij 2015:) :
es IA 😅
2026-10-03 14:31:58
4
uumariiiiksks
Üumaari Méndez :
Bello perrito 🐕 se lo merece se gana su comidita actuando el trabaja para sobrevivir yo por eso los amo a todos los 🐕🐕🙏🙏🙏
2026-10-04 17:04:00
8
naluffy0
mïfęrlù :
se nota la IA
2026-09-27 16:38:05
5
user56511991463634
David Vago Morris :
Se merece un Oscar
2026-09-22 02:14:41
8
andr3scc
Andr3sCC :
and the Oscar goes to [Inocencia]
2026-10-10 21:52:07
0
mel.09754
meli... :
no...🥺...pobre..no es actuación..es hambre
2026-09-22 01:47:53
8
cassandra.munguia
cassandra Munguia 🦋😼 :
jajaj El perrito todo un actor
2026-10-04 02:22:48
1
t_w_i_s_t_e_r3
T o r n a d o B r e a k e r TM :
parece IA
2026-10-04 13:59:31
1
dina.12167
Dina.1216 :
eso es IA ?
2026-10-06 18:17:34
1
santiago.gil269
Santiago Gil :
El Perro:
2026-10-03 18:42:18
2
olivereal0
o9kko7k2 :
bien IA se nota
2026-10-04 00:34:29
2
77__a__c__77
F7 A™J F7 :
El señor al ver que el Firulais salió corriendo llevándose su comida 🤣🤣🤣
2026-10-03 20:19:15
3
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Reflection just unveiled Beam, its first open-weight model, and the interesting part isn't the size. Beam is a 501B Mixture-of-Experts model with only 23B parameters active per token, built for coding, reasoning and agentic work. It's text only, has a 1M token context, and the weights are promised under Apache 2.0 later this month. On Reflection's own table it's roughly level with GLM 5.2: 65.5 vs 62.1 on SWE-Bench Pro, 80.1 vs 81.0 on Terminal-Bench 2.1. It's clearly behind Kimi K3, which hits 88.3 on Terminal-Bench. The pitch is efficiency: similar reasoning scores to GLM 5.2 with 3 to 4 times less inference compute, by their estimate. The training story is the real flex. Over 100 million RL rollouts on 10.5K GB300 GPUs in four weeks, about a million environments, and fully asynchronous RL that stayed stable on rollouts more than a day old. They say scores were still climbing when the run ended. The fine print: you can't download it yet, there's no model card or technical report, and every number is self-reported. Also, 23B active doesn't mean small to host. All 501B parameters still have to fit in memory. In its own table it clearly beats Nemotron 3 Ultra and Inkling on the coding tests. I'll believe the efficiency claims once people run it. Source: Reflection's Introducing Beam post, Oct 5, 2026. Independent briefing by CodenamePoshan, not a Reflection post. #ReflectionAI #OpenSourceAI #LLM #AIAgents #AICoding #AIEngineering
Reflection just unveiled Beam, its first open-weight model, and the interesting part isn't the size. Beam is a 501B Mixture-of-Experts model with only 23B parameters active per token, built for coding, reasoning and agentic work. It's text only, has a 1M token context, and the weights are promised under Apache 2.0 later this month. On Reflection's own table it's roughly level with GLM 5.2: 65.5 vs 62.1 on SWE-Bench Pro, 80.1 vs 81.0 on Terminal-Bench 2.1. It's clearly behind Kimi K3, which hits 88.3 on Terminal-Bench. The pitch is efficiency: similar reasoning scores to GLM 5.2 with 3 to 4 times less inference compute, by their estimate. The training story is the real flex. Over 100 million RL rollouts on 10.5K GB300 GPUs in four weeks, about a million environments, and fully asynchronous RL that stayed stable on rollouts more than a day old. They say scores were still climbing when the run ended. The fine print: you can't download it yet, there's no model card or technical report, and every number is self-reported. Also, 23B active doesn't mean small to host. All 501B parameters still have to fit in memory. In its own table it clearly beats Nemotron 3 Ultra and Inkling on the coding tests. I'll believe the efficiency claims once people run it. Source: Reflection's Introducing Beam post, Oct 5, 2026. Independent briefing by CodenamePoshan, not a Reflection post. #ReflectionAI #OpenSourceAI #LLM #AIAgents #AICoding #AIEngineering
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