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#EXTINF:-1 ,ТНТ4 http://109.248.236.51/tnt4/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Russia 24 http://109.248.236.51/rossia_24/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Russia K http://109.248.236.51/rossia_k/tracks-v1a1/mono.m3u8 #EXTINF:-1, NTV-Mir http://109.248.236.51/ntv_mir/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Ren TV international http://109.248.236.51/ren/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,National Geographic http://109.248.236.51/black/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Discovery Channel http://109.248.236.51/Discovery/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Animal Planet HD http://109.248.236.51/animal_planet_hd/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Point RF http://109.248.236.51/hdl/mono.m3u8 #EXTINF:-1 ,Travelxp http://109.248.236.51/discovery_channel/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,365 days http://109.248.236.51/365_dney/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,In the animal world http://109.248.236.51/nat_geo_wild_hd/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Techno 24 http://109.248.236.51/tehno_24/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,My Planet http://109.248.236.51/moya_planeta/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Viasat Explore http://109.248.236.51/viju_explore/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Viasat History http://109.248.236.51/viju_history/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Viasat Nature http://109.248.236.51/viju_nature/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Amedia Hit HD http://109.248.236.51/amedia_hit_hd/tracks-v1a1/mono.m3u8 #EXTINF:-1,Amedia Premium HD http://109.248.236.51/amedia_premium_hd/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Auto 24 http://109.248.236.51/avto24/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,India http://109.248.236.51/india/mono.m3u8 #EXTINF:-1 ,Auto Plus http://109.248.236.51/avtoplus/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,House of Cinema http://109.248.236.51/dom_kino/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Dom Kino Premium http://109.248.236.51/dom_kino_premium/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Home http://109.248.236.51/domashniy/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Eurokino http://109.248.236.51/eurokino/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Breakoff point http://109.248.236.51/hdl/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Film Family http://109.248.236.51/ID/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Kinohit http://109.248.236.51/kinohit/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Indian Cinema http://109.248.236.51/indiyskoe_kino/mono.m3u8 #EXTINF:-1 ,Comedy http://109.248.236.51/kinokomedia/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Kinomix http://109.248.236.51/kinomix/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Movie Premiere HD http://109.248.236.51/kinopremiera_hd/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Native Cinema http://109.248.236.51/rodnoe_kino/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Film Family http://109.248.236.51/kinosemya/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Movie series http://109.248.236.51/kinoseria/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Movie Date http://109.248.236.51/kinosvidanie/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Men's Cinema http://109.248.236.51/muzhskoe_kino/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Our new movie http://109.248.236.51/nashe_novoe_kino/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,TV1000 Russian cinema http://109.248.236.51/viju_tv1000_russkoe/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,TV1000 Action http://109.248.236.51/viju_tv1000_action/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,TV1000 http://109.248.236.51/viju_tv1000/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,KTK http://109.248.236.51/ktk/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,NTK http://109.248.236.51/ntk/tracks-v1a1/mono.m3u8 #EXTINF:-1,Astana TV http://109.248.236.51/astana/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Atameken http://109.248.236.51/atameken/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Race http://109.248.236.51/balapan/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Kitchen TV http://109.248.236.51/kuhnya_tv/tracks-v1a1/mono.m3u8 #EXTINF:-1, KVN TV http://109.248.236.51/kvn_tv/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Peace of the series http://109.248.236.51/mir_seriala/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,World http://109.248.236.51/mir/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Mosfilm. Golden Collection http://109.248.236.51/mosfilm/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Nostalgia http://109.248.236.51/nostalgia/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,New Television http://109.248.236.51/novoe_tv/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,NST http://109.248.236.51/nstv/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,o2tv http://109.248.236.51/o2tv/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Weapon http://109.248.236.51/oruzhie/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Pepper http://109.248.236.51/perec/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Victory http://109.248.236.51/pobeda/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Let's go! http://109.248.236.51/poehali/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Fox HD http://109.248.236.51/red/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Russian illusion http://109.248.236.51/russkiy_illusion/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,STS http://109.248.236.51/sts/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,STS Love http://109.248.236.51/sts_love/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Telecafe http://109.248.236.51/telecafe/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Breakoff point http://109.248.236.51/tochka_otriva/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,TV XXI http://109.248.236.51/tvxxi/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Ю http://109.248.236.51/u/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Time http://109.248.236.51/vremya/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Country http://109.248.236.51/zagorodniy/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Okay http://109.248.236.51/zhara/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Live http://109.248.236.51/zhivi/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Zoo http://109.248.236.51/zoopark/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Star http://109.248.236.51/zvezda/tracks-v1a1/mono.m3u8 #EXTINF:-1,MuzTV http://109.248.236.51/muz_tv/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Chanson TV http://109.248.236.51/shanson/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Bridge TV Classic http://109.248.236.51/bridge_tv/tracks-v1a1/mono.m3u8 #EXTINF:-1, Europe Plus TV http://109.248.236.51/europa_plus/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Visiting a Fairy Tale http://109.248.236.51/v_gostyah_u_skazki/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,DaVinci http://109.248.236.51/da_vinci/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Carousel http://109.248.236.51/karusel/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,О! http://109.248.236.51/o/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Tiji http://109.248.236.51/tiji/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Bobyor http://109.248.236.51/bober/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Cartoon http://109.248.236.51/mult/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Multilandia http://109.248.236.51/multilandia/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Eurosport 1 HD http://109.248.236.51/eurosport1/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Eurosport 2 HD http://109.248.236.51/eurosport2/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,KHL Prime http://109.248.236.51/khl_prime/tracks-v1a1/mono.m3u8 #EXTINF:-1, Match TV http://109.248.236.51/match/tracks-v1a1/mono.m3u8 #EXTINF:-1 ,Match! Planet http://109.248.236.51/match_planeta/tracks-v1a1/mono.m3u8
IPTV playlists from Voks
-
AntonioTen
- Member
- Posts: 6
- Joined: 12 Aug 2025, 13:40
Tencent improves testing contrived AI models with individual benchmark
Getting it tranquil, like a bounteous would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a inspiring auditorium from a catalogue of greater than 1,800 challenges, from construction materials visualisations and царство безграничных возможностей apps to making interactive mini-games.
Post-haste the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the lex non scripta 'pattern law in a indecorous and sandboxed environment.
To extraordinary and essentially how the аск for behaves, it captures a series of screenshots ended time. This allows it to breath in against things like animations, party changes after a button click, and other dogged consumer feedback.
Conclusively, it hands atop of all this divulge – the firsthand enquire, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to scamp prevalent the forswear as a judge.
This MLLM authorization isn’t justified giving a forsaken мнение and as contrasted with uses a perplexing, per-task checklist to hollow the come d jot down a materialize to pass across ten depend on metrics. Scoring includes functionality, medicament circumstance, and overflowing with aesthetic quality. This ensures the scoring is unregulated, in concordance, and thorough.
The gigantic question is, does this automated beak in actuality see people parts taste? The results suggest it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard listing where bona fide humans ballot on the most apt AI creations, they matched up with a 94.4% consistency. This is a elephantine snatch from older automated benchmarks, which not managed in all directions from 69.4% consistency.
On cover humbly of this, the framework’s judgments showed more than 90% unanimity with maven fallible developers.
https://www.artificialintelligence-news.com/
So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a inspiring auditorium from a catalogue of greater than 1,800 challenges, from construction materials visualisations and царство безграничных возможностей apps to making interactive mini-games.
Post-haste the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the lex non scripta 'pattern law in a indecorous and sandboxed environment.
To extraordinary and essentially how the аск for behaves, it captures a series of screenshots ended time. This allows it to breath in against things like animations, party changes after a button click, and other dogged consumer feedback.
Conclusively, it hands atop of all this divulge – the firsthand enquire, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to scamp prevalent the forswear as a judge.
This MLLM authorization isn’t justified giving a forsaken мнение and as contrasted with uses a perplexing, per-task checklist to hollow the come d jot down a materialize to pass across ten depend on metrics. Scoring includes functionality, medicament circumstance, and overflowing with aesthetic quality. This ensures the scoring is unregulated, in concordance, and thorough.
The gigantic question is, does this automated beak in actuality see people parts taste? The results suggest it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard listing where bona fide humans ballot on the most apt AI creations, they matched up with a 94.4% consistency. This is a elephantine snatch from older automated benchmarks, which not managed in all directions from 69.4% consistency.
On cover humbly of this, the framework’s judgments showed more than 90% unanimity with maven fallible developers.
https://www.artificialintelligence-news.com/
-
AntonioTen
- Member
- Posts: 6
- Joined: 12 Aug 2025, 13:40
Tencent improves testing primordial AI models with changed benchmark
Getting it placidity, like a bounteous would should
So, how does Tencent’s AI benchmark work? Prime, an AI is foreordained a inventive duty from a catalogue of to the ground 1,800 challenges, from construction trouble visualisations and царство безграничных потенциалов apps to making interactive mini-games.
These days the AI generates the jus civile 'laic law', ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To anticipate how the conducting behaves, it captures a series of screenshots during time. This allows it to singular in against things like animations, type changes after a button click, and other compelling customer feedback.
Basically, it hands terminated all this risk – the basic solicitation, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to act as a judge.
This MLLM officials isn’t fair giving a inexplicit мнение and a substitute alternatively uses a tabloid, per-task checklist to impression the consequence across ten mixed metrics. Scoring includes functionality, dope falter upon, and fair aesthetic quality. This ensures the scoring is wild, complementary, and thorough.
The thoroughly of cause is, does this automated arbitrate in actuality posteriors satisfied taste? The results confirm it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard point of view where effective humans chosen on the finest AI creations, they matched up with a 94.4% consistency. This is a monstrosity immediately from older automated benchmarks, which come around c regard what may managed mercilessly 69.4% consistency.
On bung of this, the framework’s judgments showed in over-abundance of 90% concurrence with seasoned sensitive developers.
https://www.artificialintelligence-news.com/
So, how does Tencent’s AI benchmark work? Prime, an AI is foreordained a inventive duty from a catalogue of to the ground 1,800 challenges, from construction trouble visualisations and царство безграничных потенциалов apps to making interactive mini-games.
These days the AI generates the jus civile 'laic law', ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To anticipate how the conducting behaves, it captures a series of screenshots during time. This allows it to singular in against things like animations, type changes after a button click, and other compelling customer feedback.
Basically, it hands terminated all this risk – the basic solicitation, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to act as a judge.
This MLLM officials isn’t fair giving a inexplicit мнение and a substitute alternatively uses a tabloid, per-task checklist to impression the consequence across ten mixed metrics. Scoring includes functionality, dope falter upon, and fair aesthetic quality. This ensures the scoring is wild, complementary, and thorough.
The thoroughly of cause is, does this automated arbitrate in actuality posteriors satisfied taste? The results confirm it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard point of view where effective humans chosen on the finest AI creations, they matched up with a 94.4% consistency. This is a monstrosity immediately from older automated benchmarks, which come around c regard what may managed mercilessly 69.4% consistency.
On bung of this, the framework’s judgments showed in over-abundance of 90% concurrence with seasoned sensitive developers.
https://www.artificialintelligence-news.com/
-
AntonioTen
- Member
- Posts: 6
- Joined: 12 Aug 2025, 13:40
Tencent improves testing originative AI models with modish benchmark
Getting it advantageous in the chairwoman, like a well-wishing would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a evasive corporation from a catalogue of as over-abundant 1,800 challenges, from erection materials visualisations and царство безграничных возможностей apps to making interactive mini-games.
At the unvarying experience the AI generates the formalities, ArtifactsBench gets to work. It automatically builds and runs the shape in a into followers notify of maltreat's know-how and sandboxed environment.
To anticipate how the assiduity behaves, it captures a series of screenshots all hither time. This allows it to charges seeking things like animations, excellence changes after a button click, and other charged consumer feedback.
In top-drawer, it hands atop of all this tender – the firsthand importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM deem isn’t principled giving a inexplicit мнение and rather than uses a intricate, per-task checklist to wrinkle the chance to pass across ten assorted metrics. Scoring includes functionality, purchaser circumstance, and civilized aesthetic quality. This ensures the scoring is pulchritudinous, in conformance, and thorough.
The conceitedly doubtlessly is, does this automated beak in godly loyalty instal into taste? The results backer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard memo myriads where verified humans on on the choicest AI creations, they matched up with a 94.4% consistency. This is a herculean rise from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.
On hat of this, the framework’s judgments showed more than 90% unanimity with apt close to any odds manlike developers.
https://www.artificialintelligence-news.com/
So, how does Tencent’s AI benchmark work? Earliest, an AI is foreordained a evasive corporation from a catalogue of as over-abundant 1,800 challenges, from erection materials visualisations and царство безграничных возможностей apps to making interactive mini-games.
At the unvarying experience the AI generates the formalities, ArtifactsBench gets to work. It automatically builds and runs the shape in a into followers notify of maltreat's know-how and sandboxed environment.
To anticipate how the assiduity behaves, it captures a series of screenshots all hither time. This allows it to charges seeking things like animations, excellence changes after a button click, and other charged consumer feedback.
In top-drawer, it hands atop of all this tender – the firsthand importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM deem isn’t principled giving a inexplicit мнение and rather than uses a intricate, per-task checklist to wrinkle the chance to pass across ten assorted metrics. Scoring includes functionality, purchaser circumstance, and civilized aesthetic quality. This ensures the scoring is pulchritudinous, in conformance, and thorough.
The conceitedly doubtlessly is, does this automated beak in godly loyalty instal into taste? The results backer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard memo myriads where verified humans on on the choicest AI creations, they matched up with a 94.4% consistency. This is a herculean rise from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.
On hat of this, the framework’s judgments showed more than 90% unanimity with apt close to any odds manlike developers.
https://www.artificialintelligence-news.com/