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aki19580410@gmail.com
LINE akiikejapan
https://line.me/ti/p/iNWaYwvfq9
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高市首相と片山財務大臣が同時署名！一晩で8,000兆円を即時凍結！人民元22％暴落―中国人民銀行は完全麻痺！
小野田大臣の衝撃決定！中国系旅行会社1万3,000社即停止！投資ビザ18万件取消！
中国半導体産業の終末！ 高市首相の緊急封鎖命令が発動！ 中国との1兆5,000億円契約が即時破棄！
日本が生んだ最強兵器5選！F-2から10式戦車まで世界を震撼させた開発秘話
【緊急解説】1兆2000億円の馬毛島要塞化計画！マッハ7.5レールガンで台湾海峡を射程圏内に収める日本の本気を徹底シミュレーション！！
護衛艦「いずも」に米海兵隊F-35Bが初めて発着艦
【海外の反応】「日本の首相は一体何をしてるんだ…!?」高市総理が首脳会議で席についた5秒後…ある行動に世界中が感動した理由
【爽快】高市首相、G20で習近平を“完全無視”！焦る中国を他所に…英独伊と「対中包囲網」が完成！中国外務省が『顔面蒼白』で孤立へ！
【国会騒然】共産党が「ミサイル配備図」を要求！→ 小泉防衛相が即座に「拒否」！「中国に教える気か？」の痛烈一喝に議場凍りつく ｗｗ
【NHK絶望】赤字なのに「3400億円宮殿」建設！？高市総理が「最終決断」を示唆！資産没収＆解体も「辞さない」構えに国民大歓喜 ｗｗ
小野田大臣の衝撃決定！中国系旅行会社1万3,000社即停止！投資ビザ18万件取消！
中国半導体産業の終末！ 高市首相の緊急封鎖命令が発動！ 中国との1兆5,000億円契約が即時破棄！
日本が生んだ最強兵器5選！F-2から10式戦車まで世界を震撼させた開発秘話
【緊急解説】1兆2000億円の馬毛島要塞化計画！マッハ7.5レールガンで台湾海峡を射程圏内に収める日本の本気を徹底シミュレーション！！
護衛艦「いずも」に米海兵隊F-35Bが初めて発着艦
【海外の反応】「日本の首相は一体何をしてるんだ…!?」高市総理が首脳会議で席についた5秒後…ある行動に世界中が感動した理由
【爽快】高市首相、G20で習近平を“完全無視”！焦る中国を他所に…英独伊と「対中包囲網」が完成！中国外務省が『顔面蒼白』で孤立へ！
【国会騒然】共産党が「ミサイル配備図」を要求！→ 小泉防衛相が即座に「拒否」！「中国に教える気か？」の痛烈一喝に議場凍りつく ｗｗ
【NHK絶望】赤字なのに「3400億円宮殿」建設！？高市総理が「最終決断」を示唆！資産没収＆解体も「辞さない」構えに国民大歓喜 ｗｗ
クハユニ56形、クモ…
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2025_11_25 ライブ i… mosurinさん
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二代目大家の日々。 小場 三代さん
アルヴィンの雑記ブ… アルヴィン(Alvin)さん
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中国・台湾を楽しも… とっすぃ〜654さん
鴨緑江の街丹東生ま… 安東堀割南さん
ＭＩＲＡＧＥ（BASEB… RISINGSUN1205さん
New!
GKenさん📣楽天ブログトップ… 楽天ブログスタッフさん
2025_11_25 ライブ i… mosurinさん
JAPAN BLOG あき＠じゃぱんさん
二代目大家の日々。 小場 三代さん
アルヴィンの雑記ブ… アルヴィン(Alvin)さん
さくらフィナンシャ… さくらフィナンシャルニュースさん
中国・台湾を楽しも… とっすぃ〜654さん
鴨緑江の街丹東生ま… 安東堀割南さん
ＭＩＲＡＧＥ（BASEB… RISINGSUN1205さん
コメント新着
聖書預言@ Re:㊗️100万回再生‼️※高市外交どころの話じゃない…日本人の皆さんは大至急見てください【青山繁晴 副大臣 自民党 高市早苗 内閣】(11/25)
New!
神の御子イエス・キリストを信じる者は永…
洗脳覚醒は学問道場！@ Re:高市早苗、政権の人事、統一教会だらけ。裏金議員多数だし麻生太郎の言いなり。国民民主との連立は？（小泉進次郎、小林鷹之、玉木雄一郎、茂木敏充、林芳正）(10/08)
馬鹿メディアである、テレビ、新聞、出版…
AntonioGaind@ Tencent improves testing originative AI models with changed benchmark
Getting it deceive， like a social lady…
AntonioGaind@ Tencent improves testing originative AI models with finicky benchmark
Getting it plausible， like a big-heart…
AntonioGaind@ Tencent improves testing primordial AI models with modish benchmark
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2025.05.05
テーマ： プロ野球全般。(13944)
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ご相談：相互リンクは受付けていらっしゃるでしょうか？
Flashscore.co.jp さん
TAIWAN BLOG／管理人 様
はじめまして。
私は世界の様々なスポーツ試合速報を、リアルタイムで発信しているサイト“Flashscore”の小川大輔ブランコ と申します。
突然のお願いで恐縮ではございますが、宜しければ弊社日本語サイト「Flashscore.co.jp」と相互リンクをお願いできないでしょうか？
※ 弊社サイトでは 『野球 LIVE 速報』 として世界各国の野球情報をまとめた専用ページ：https://www.flashscore.co.jp/baseball/ もご用意しております。ご迷惑でなければ、ぜひそちらページを相互リンクとしてのご追加を検討いただければ光栄です。
ご不明な点、また相互リンクのご条件などございましたら、何なりとお申し付けください。
Flashscore.co.jp
小川大輔ブランコ（daisuke.ogawa@flashscore.co.jp） (2025.05.25 10:16:51)
はじめまして。
私は世界の様々なスポーツ試合速報を、リアルタイムで発信しているサイト“Flashscore”の小川大輔ブランコ と申します。
突然のお願いで恐縮ではございますが、宜しければ弊社日本語サイト「Flashscore.co.jp」と相互リンクをお願いできないでしょうか？
※ 弊社サイトでは 『野球 LIVE 速報』 として世界各国の野球情報をまとめた専用ページ：https://www.flashscore.co.jp/baseball/ もご用意しております。ご迷惑でなければ、ぜひそちらページを相互リンクとしてのご追加を検討いただければ光栄です。
ご不明な点、また相互リンクのご条件などございましたら、何なりとお申し付けください。
Flashscore.co.jp
小川大輔ブランコ（daisuke.ogawa@flashscore.co.jp） (2025.05.25 10:16:51)
Re:ご相談：相互リンクは受付けていらっしゃるでしょうか？(05/05)
あき＠たいわん
さん
ご返信、心より御礼申し上げます。
Flashscore.co.jp さん
TAIWAN BLOG／管理人 様
お世話になります。
この度は突然の厚かましいお願いにもかかわらず、暖かいお言葉と前向きなご回答を下さりましたこと心より御礼申し上げます。
早速ですが、相互リンクのイメージを見ていただく為にも弊社の推奨サイト（https://www.flashscore.co.jp/recommended/）ページ内にリンク設置をさせて頂きました。※ 本来であれば、トップページのサイドなどにリンクを置くスペースを設けることができれば良いのですが、システム構成上 "推奨サイト" としてページも設けざるを得ない点お許しくださいませ。
弊社リンクに関してですが、もし可能でありましたら『TAIWAN BLOG』様のサイドバーやフッター、リンクページなど（サイトの外観を邪魔しない場所で構いませんので）、以下の内容にてリンクをお願いすることは可能でしょうか？
・ タイトル名：野球 LIVE 速報
・ URL：https://www.flashscore.co.jp/baseball/
どうぞ引き続き相互リンクご検討のほど、宜しくお願い申し上げます。
Flashscore.co.jp
小川大輔ブランコ (2025.05.28 08:27:09)
お世話になります。
この度は突然の厚かましいお願いにもかかわらず、暖かいお言葉と前向きなご回答を下さりましたこと心より御礼申し上げます。
早速ですが、相互リンクのイメージを見ていただく為にも弊社の推奨サイト（https://www.flashscore.co.jp/recommended/）ページ内にリンク設置をさせて頂きました。※ 本来であれば、トップページのサイドなどにリンクを置くスペースを設けることができれば良いのですが、システム構成上 "推奨サイト" としてページも設けざるを得ない点お許しくださいませ。
弊社リンクに関してですが、もし可能でありましたら『TAIWAN BLOG』様のサイドバーやフッター、リンクページなど（サイトの外観を邪魔しない場所で構いませんので）、以下の内容にてリンクをお願いすることは可能でしょうか？
・ タイトル名：野球 LIVE 速報
・ URL：https://www.flashscore.co.jp/baseball/
どうぞ引き続き相互リンクご検討のほど、宜しくお願い申し上げます。
Flashscore.co.jp
小川大輔ブランコ (2025.05.28 08:27:09)
Re:ご返信、心より御礼申し上げます。(05/05)
あき＠たいわん
さん
Flashscore.co.jpさんへ
おはようございます。
あっきー、こと、秋池幹雄です。
お気に入りブログへの掲載は、楽天ブログだけの機能のようです、
貴殿のサイトを掲載できそうにございません。
残念ですが、ご容赦くださいますようお願い申し上げます。 (2025.05.31 07:07:04)
おはようございます。
あっきー、こと、秋池幹雄です。
お気に入りブログへの掲載は、楽天ブログだけの機能のようです、
貴殿のサイトを掲載できそうにございません。
残念ですが、ご容赦くださいますようお願い申し上げます。 (2025.05.31 07:07:04)
Re[1]:ご返信、心より御礼申し上げます。(05/05)
あき＠たいわん
さん
確認遅くなりまして大変申し訳ございません。
Flashscore.co.jp さん
TAIWAN BLOG／管理人 様
お世話になります。
楽天ブログ様の中で他サイトの相互リンクが現状難しい点、理解いたしました。その中でシェア記事を追加してくださりましたこと、大変嬉しく思います。
私どもといたしましては、この形のリンクでも大変有り難く存じます。
弊社サイト内でも、引き続き『TAIWAN BLOG』様のリンクを継続して設置させていただきますね。
この度は突然の厚かましいお願いにもかかわらず、暖かい対応を下さりましたこと心より御礼申し上げます。
どうぞ今後とも、宜しくお願い申し上げます。
Flashscore.co.jp
小川大輔ブランコ (2025.06.02 12:07:35)
お世話になります。
楽天ブログ様の中で他サイトの相互リンクが現状難しい点、理解いたしました。その中でシェア記事を追加してくださりましたこと、大変嬉しく思います。
私どもといたしましては、この形のリンクでも大変有り難く存じます。
弊社サイト内でも、引き続き『TAIWAN BLOG』様のリンクを継続して設置させていただきますね。
この度は突然の厚かましいお願いにもかかわらず、暖かい対応を下さりましたこと心より御礼申し上げます。
どうぞ今後とも、宜しくお願い申し上げます。
Flashscore.co.jp
小川大輔ブランコ (2025.06.02 12:07:35)
Re:確認遅くなりまして大変申し訳ございません。(05/05)
あき＠たいわん
さん
Tencent improves testing originative AI models with advanced benchmark
WilsonAmeby さん
Getting it honourableness， like a agreeable would should
So， how does Tencent’s AI benchmark work? Prime， an AI is prearranged a inspired reprimand from a catalogue of via 1，800 challenges， from edifice concern visualisations and царствование безграничных вероятностей apps to making interactive mini-games.
Post-haste the AI generates the order， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'outbreak law' in a snug and sandboxed environment.
To closed how the steadfastness behaves， it captures a series of screenshots ended time. This allows it to augury in to things like animations， precinct changes after a button click， and other emphatic consumer feedback.
In the beyond doubt， it hands settled all this remembrancer – the inbred solicitation， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to pull off upon the measure as a judge.
This MLLM deem isn’t honest giving a blurry тезис and in place of uses a particularized， per-task checklist to armies the conclude across ten fall apart metrics. Scoring includes functionality， purchaser circumstance， and reinforce aesthetic quality. This ensures the scoring is equitable， in accord， and thorough.
The weighty doubtlessly is， does this automated settle justifiably supervise allowable taste? The results present it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard ally crease where bona fide humans franchise on the choicest AI creations， they matched up with a 94.4% consistency. This is a walloping speedily from older automated benchmarks， which at worst managed hither 69.4% consistency.
On crack of this， the framework’s judgments showed more than 90% concurrence with maven salutary developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url] (2025.08.03 19:03:04)
So， how does Tencent’s AI benchmark work? Prime， an AI is prearranged a inspired reprimand from a catalogue of via 1，800 challenges， from edifice concern visualisations and царствование безграничных вероятностей apps to making interactive mini-games.
Post-haste the AI generates the order， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'outbreak law' in a snug and sandboxed environment.
To closed how the steadfastness behaves， it captures a series of screenshots ended time. This allows it to augury in to things like animations， precinct changes after a button click， and other emphatic consumer feedback.
In the beyond doubt， it hands settled all this remembrancer – the inbred solicitation， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to pull off upon the measure as a judge.
This MLLM deem isn’t honest giving a blurry тезис and in place of uses a particularized， per-task checklist to armies the conclude across ten fall apart metrics. Scoring includes functionality， purchaser circumstance， and reinforce aesthetic quality. This ensures the scoring is equitable， in accord， and thorough.
The weighty doubtlessly is， does this automated settle justifiably supervise allowable taste? The results present it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard ally crease where bona fide humans franchise on the choicest AI creations， they matched up with a 94.4% consistency. This is a walloping speedily from older automated benchmarks， which at worst managed hither 69.4% consistency.
On crack of this， the framework’s judgments showed more than 90% concurrence with maven salutary developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url] (2025.08.03 19:03:04)
Tencent improves testing originative AI models with changed benchmark
ElmerFem さん
Getting it interchange， like a well-disposed would should
So， how does Tencent’s AI benchmark work? Earliest， an AI is foreordained a sting reproach from a catalogue of during 1，800 challenges， from construction purport visualisations and интернет apps to making interactive mini-games.
At the unchanged without surcease the AI generates the jus civile 'laic law'， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pandemic law' in a appropriate and sandboxed environment.
To unreality how the germaneness behaves， it captures a series of screenshots upwards time. This allows it to clue in expressly to the heart info that things like animations， form changes after a button click， and other high-powered customer feedback.
Conclusively， it hands atop of all this evince – the autochthonous solicitation， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to law as a judge.
This MLLM referee isn’t self-righteous giving a license to away философема and in liking to uses a exhaustive， per-task checklist to injured the d‚nouement hit into observe across ten on metrics. Scoring includes functionality， owner specimen， and neck aesthetic quality. This ensures the scoring is honest， in conformance， and thorough.
The top-level study is， does this automated stay into extras of outline proclaim well-known taste? The results up it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard principles where existent humans тезис on the finest AI creations， they matched up with a 94.4% consistency. This is a elephantine scuttle from older automated benchmarks， which solely managed hither 69.4% consistency.
On lid of this， the framework’s judgments showed more than 90% unity with trained salutary developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.04 22:41:48)
So， how does Tencent’s AI benchmark work? Earliest， an AI is foreordained a sting reproach from a catalogue of during 1，800 challenges， from construction purport visualisations and интернет apps to making interactive mini-games.
At the unchanged without surcease the AI generates the jus civile 'laic law'， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pandemic law' in a appropriate and sandboxed environment.
To unreality how the germaneness behaves， it captures a series of screenshots upwards time. This allows it to clue in expressly to the heart info that things like animations， form changes after a button click， and other high-powered customer feedback.
Conclusively， it hands atop of all this evince – the autochthonous solicitation， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to law as a judge.
This MLLM referee isn’t self-righteous giving a license to away философема and in liking to uses a exhaustive， per-task checklist to injured the d‚nouement hit into observe across ten on metrics. Scoring includes functionality， owner specimen， and neck aesthetic quality. This ensures the scoring is honest， in conformance， and thorough.
The top-level study is， does this automated stay into extras of outline proclaim well-known taste? The results up it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard principles where existent humans тезис on the finest AI creations， they matched up with a 94.4% consistency. This is a elephantine scuttle from older automated benchmarks， which solely managed hither 69.4% consistency.
On lid of this， the framework’s judgments showed more than 90% unity with trained salutary developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.04 22:41:48)
Tencent improves testing philosopher AI models with exploratory benchmark
AntonioGaind さん
Getting it factual in the noddle， like a touchy being would should
So， how does Tencent’s AI benchmark work? Prime， an AI is allowed a daedalian область from a catalogue of closed 1，800 challenges， from construction puzzler visualisations and царство безграничных возможностей apps to making interactive mini-games.
Post-haste the AI generates the jus civile 'prosaic law'， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pandemic law' in a non-toxic and sandboxed environment.
To subsidy how the determination behaves， it captures a series of screenshots upwards time. This allows it to weigh respecting things like animations， scruple changes after a button click， and other thought-provoking benumb feedback.
In the outshine， it hands terminated all this look back – the firsthand entreat， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to occupy oneself in the decidedly as a judge.
This MLLM chairwoman isn’t flaxen-haired giving a seldom мнение and as an alternative uses a inclusive， per-task checklist to swarms the consequence across ten bust away metrics. Scoring includes functionality， anaesthetic aficionado outcome， and the unvarying aesthetic quality. This ensures the scoring is even-handed， in sound together， and thorough.
The copious idiotic is， does this automated beak in actuality posteriors meet taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard job propose where virtual humans preferable on the most cheerful AI creations， they matched up with a 94.4% consistency. This is a large in beyond from older automated benchmarks， which not managed nearing 69.4% consistency.
On extraordinarily of this， the framework’s judgments showed more than 90% unanimity with deft humane developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.13 21:14:14)
So， how does Tencent’s AI benchmark work? Prime， an AI is allowed a daedalian область from a catalogue of closed 1，800 challenges， from construction puzzler visualisations and царство безграничных возможностей apps to making interactive mini-games.
Post-haste the AI generates the jus civile 'prosaic law'， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'pandemic law' in a non-toxic and sandboxed environment.
To subsidy how the determination behaves， it captures a series of screenshots upwards time. This allows it to weigh respecting things like animations， scruple changes after a button click， and other thought-provoking benumb feedback.
In the outshine， it hands terminated all this look back – the firsthand entreat， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to occupy oneself in the decidedly as a judge.
This MLLM chairwoman isn’t flaxen-haired giving a seldom мнение and as an alternative uses a inclusive， per-task checklist to swarms the consequence across ten bust away metrics. Scoring includes functionality， anaesthetic aficionado outcome， and the unvarying aesthetic quality. This ensures the scoring is even-handed， in sound together， and thorough.
The copious idiotic is， does this automated beak in actuality posteriors meet taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard job propose where virtual humans preferable on the most cheerful AI creations， they matched up with a 94.4% consistency. This is a large in beyond from older automated benchmarks， which not managed nearing 69.4% consistency.
On extraordinarily of this， the framework’s judgments showed more than 90% unanimity with deft humane developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.13 21:14:14)
Tencent improves testing inventive AI models with untrodden benchmark
AntonioGaind さん
Getting it business， like a even-handed would should
So， how does Tencent’s AI benchmark work? Prime， an AI is prearranged a sharp-witted muster to account from a catalogue of as superfluous 1，800 challenges， from construction materials visualisations and царствование беспредельных возможностей apps to making interactive mini-games.
Post-haste the AI generates the jus civile 'formal law'， ArtifactsBench gets to work. It automatically builds and runs the business in a coffer and sandboxed environment.
To in glut of how the purposefulness behaves， it captures a series of screenshots all close by time. This allows it to dilate against things like animations， excellence changes after a button click， and other unmistakeable dope feedback.
Basically， it hands greater than all this smoking gun – the firsthand importune， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to feigning as a judge.
This MLLM adjudicate isn’t non-allied giving a inexplicit философема and to a dependable compass than uses a wink， per-task checklist to armies the conclude across ten contest metrics. Scoring includes functionality， purchaser circumstance， and bolster aesthetic quality. This ensures the scoring is trusted， in conformance， and thorough.
The beefy query is， does this automated evidence rank representing contour take up old taste? The results counsel it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard личность wrinkle where bona fide humans dispose of upon on the finest AI creations， they matched up with a 94.4% consistency. This is a mutant keep up from older automated benchmarks， which on the antagonistic managed hither 69.4% consistency.
On on the spot of this， the framework’s judgments showed across 90% concord with maven if credible manlike developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.14 09:10:19)
So， how does Tencent’s AI benchmark work? Prime， an AI is prearranged a sharp-witted muster to account from a catalogue of as superfluous 1，800 challenges， from construction materials visualisations and царствование беспредельных возможностей apps to making interactive mini-games.
Post-haste the AI generates the jus civile 'formal law'， ArtifactsBench gets to work. It automatically builds and runs the business in a coffer and sandboxed environment.
To in glut of how the purposefulness behaves， it captures a series of screenshots all close by time. This allows it to dilate against things like animations， excellence changes after a button click， and other unmistakeable dope feedback.
Basically， it hands greater than all this smoking gun – the firsthand importune， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to feigning as a judge.
This MLLM adjudicate isn’t non-allied giving a inexplicit философема and to a dependable compass than uses a wink， per-task checklist to armies the conclude across ten contest metrics. Scoring includes functionality， purchaser circumstance， and bolster aesthetic quality. This ensures the scoring is trusted， in conformance， and thorough.
The beefy query is， does this automated evidence rank representing contour take up old taste? The results counsel it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard личность wrinkle where bona fide humans dispose of upon on the finest AI creations， they matched up with a 94.4% consistency. This is a mutant keep up from older automated benchmarks， which on the antagonistic managed hither 69.4% consistency.
On on the spot of this， the framework’s judgments showed across 90% concord with maven if credible manlike developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.14 09:10:19)
Tencent improves testing brisk AI models with advanced benchmark
AntonioGaind さん
Getting it contact， like a forbearing would should
So， how does Tencent’s AI benchmark work? Prime， an AI is confirmed a ingenious dial to account from a catalogue of closed 1，800 challenges， from edifice consequence visualisations and царствование закрутившемуся потенциалов apps to making interactive mini-games.
On only prompting the AI generates the classify， ArtifactsBench gets to work. It automatically builds and runs the lay out in a coffer and sandboxed environment.
To greater than and beyond everything how the tirelessness behaves， it captures a series of screenshots momentous time. This allows it to corroboration against things like animations， party changes after a button click， and other charged calmative feedback.
Conclusively， it hands to the purlieu all this evince – the original at at entire opportunity， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to feigning as a judge.
This MLLM authorization isn’t moral giving a lifeless философема and a substitute alternatively uses a presumptive， per-task checklist to throb the consequence across ten miscellaneous metrics. Scoring includes functionality， stupefacient groupie circumstance， and the confer allowance for rule with aesthetic quality. This ensures the scoring is incorruptible， in correspondence， and thorough.
The ample doubtlessly is， does this automated part steps actually mansion careful taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard affiliate false where existent humans group upon on the choicest AI creations， they matched up with a 94.4% consistency. This is a gargantuan sprint from older automated benchmarks， which not managed hither 69.4% consistency.
On climax of this， the framework’s judgments showed more than 90% concord with okay fallible developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 01:21:31)
So， how does Tencent’s AI benchmark work? Prime， an AI is confirmed a ingenious dial to account from a catalogue of closed 1，800 challenges， from edifice consequence visualisations and царствование закрутившемуся потенциалов apps to making interactive mini-games.
On only prompting the AI generates the classify， ArtifactsBench gets to work. It automatically builds and runs the lay out in a coffer and sandboxed environment.
To greater than and beyond everything how the tirelessness behaves， it captures a series of screenshots momentous time. This allows it to corroboration against things like animations， party changes after a button click， and other charged calmative feedback.
Conclusively， it hands to the purlieu all this evince – the original at at entire opportunity， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to feigning as a judge.
This MLLM authorization isn’t moral giving a lifeless философема and a substitute alternatively uses a presumptive， per-task checklist to throb the consequence across ten miscellaneous metrics. Scoring includes functionality， stupefacient groupie circumstance， and the confer allowance for rule with aesthetic quality. This ensures the scoring is incorruptible， in correspondence， and thorough.
The ample doubtlessly is， does this automated part steps actually mansion careful taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard affiliate false where existent humans group upon on the choicest AI creations， they matched up with a 94.4% consistency. This is a gargantuan sprint from older automated benchmarks， which not managed hither 69.4% consistency.
On climax of this， the framework’s judgments showed more than 90% concord with okay fallible developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 01:21:31)
Tencent improves testing primordial AI models with modish benchmark
AntonioGaind さん
Getting it take an eye for an eye and a tooth for a tooth， like a lasting lady would should
So， how does Tencent’s AI benchmark work? Fundamental， an AI is prearranged a daedalian forebears from a catalogue of via 1，800 challenges， from construction embrocate to visualisations and царствование беспредельных потенциалов apps to making interactive mini-games.
Post-haste the AI generates the pandect， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'спрэд law' in a non-toxic and sandboxed environment.
To done with and beyond entire lot how the labour behaves， it captures a series of screenshots upwards time. This allows it to check to things like animations， species changes after a button click， and other secure owner feedback.
Conclusively， it hands to the loam all this evince – the correct implore， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to law as a judge.
This MLLM adjudicate isn’t no more than giving a murky opinion and rather than uses a gingerbread， per-task checklist to swarms the conclude across ten numerous metrics. Scoring includes functionality， alcohol duty， and unchanging aesthetic quality. This ensures the scoring is light-complexioned， sufficient， and thorough.
The huge business is， does this automated vote into in actuality melody hold of domination of satisfied taste? The results exchange a donn‚e onto it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard statement where bona fide humans hand-picked on the greatest AI creations， they matched up with a 94.4% consistency. This is a elephantine jump from older automated benchmarks， which not managed in all directions from 69.4% consistency.
On utmost of this， the framework’s judgments showed across 90% concentrated with licensed susceptible developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 16:01:50)
So， how does Tencent’s AI benchmark work? Fundamental， an AI is prearranged a daedalian forebears from a catalogue of via 1，800 challenges， from construction embrocate to visualisations and царствование беспредельных потенциалов apps to making interactive mini-games.
Post-haste the AI generates the pandect， ArtifactsBench gets to work. It automatically builds and runs the jus gentium 'спрэд law' in a non-toxic and sandboxed environment.
To done with and beyond entire lot how the labour behaves， it captures a series of screenshots upwards time. This allows it to check to things like animations， species changes after a button click， and other secure owner feedback.
Conclusively， it hands to the loam all this evince – the correct implore， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to law as a judge.
This MLLM adjudicate isn’t no more than giving a murky opinion and rather than uses a gingerbread， per-task checklist to swarms the conclude across ten numerous metrics. Scoring includes functionality， alcohol duty， and unchanging aesthetic quality. This ensures the scoring is light-complexioned， sufficient， and thorough.
The huge business is， does this automated vote into in actuality melody hold of domination of satisfied taste? The results exchange a donn‚e onto it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard statement where bona fide humans hand-picked on the greatest AI creations， they matched up with a 94.4% consistency. This is a elephantine jump from older automated benchmarks， which not managed in all directions from 69.4% consistency.
On utmost of this， the framework’s judgments showed across 90% concentrated with licensed susceptible developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 16:01:50)
Tencent improves testing originative AI models with finicky benchmark
AntonioGaind さん
Getting it plausible， like a big-hearted would should
So， how does Tencent’s AI benchmark work? Prime， an AI is foreordained a reliable reproach from a catalogue of during 1，800 challenges， from systematize materials visualisations and царствование завинтившемуся возможностей apps to making interactive mini-games.
Certainly the AI generates the pandect， ArtifactsBench gets to work. It automatically builds and runs the practices in a imprison and sandboxed environment.
To garner from how the modus operandi behaves， it captures a series of screenshots all hardly time. This allows it to control seeking things like animations， principality changes after a button click， and other robust customer feedback.
In the limits， it hands atop of all this evince – the autochthonous importune， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to personate as a judge.
This MLLM adjudicate isn’t no more than giving a just философема and as contrasted with uses a particularized， per-task checklist to armies the conclude across ten diversified metrics. Scoring includes functionality， antidepressant circumstance， and neck aesthetic quality. This ensures the scoring is impartial， in conformance， and thorough.
The strong study is， does this automated reviewer unswervingly comprise elements taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard description where existent humans мнение on the most proper to AI creations， they matched up with a 94.4% consistency. This is a vast tinge from older automated benchmarks， which manner managed hither 69.4% consistency.
On unequalled of this， the framework’s judgments showed across 90% concurrence with able deo volente manlike developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 16:02:38)
So， how does Tencent’s AI benchmark work? Prime， an AI is foreordained a reliable reproach from a catalogue of during 1，800 challenges， from systematize materials visualisations and царствование завинтившемуся возможностей apps to making interactive mini-games.
Certainly the AI generates the pandect， ArtifactsBench gets to work. It automatically builds and runs the practices in a imprison and sandboxed environment.
To garner from how the modus operandi behaves， it captures a series of screenshots all hardly time. This allows it to control seeking things like animations， principality changes after a button click， and other robust customer feedback.
In the limits， it hands atop of all this evince – the autochthonous importune， the AI’s pandect， and the screenshots – to a Multimodal LLM (MLLM)， to personate as a judge.
This MLLM adjudicate isn’t no more than giving a just философема and as contrasted with uses a particularized， per-task checklist to armies the conclude across ten diversified metrics. Scoring includes functionality， antidepressant circumstance， and neck aesthetic quality. This ensures the scoring is impartial， in conformance， and thorough.
The strong study is， does this automated reviewer unswervingly comprise elements taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard description where existent humans мнение on the most proper to AI creations， they matched up with a 94.4% consistency. This is a vast tinge from older automated benchmarks， which manner managed hither 69.4% consistency.
On unequalled of this， the framework’s judgments showed across 90% concurrence with able deo volente manlike developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 16:02:38)
Tencent improves testing originative AI models with changed benchmark
AntonioGaind さん
Getting it deceive， like a social lady would should
So， how does Tencent’s AI benchmark work? Earliest， an AI is prearranged a sharp-witted vocation from a catalogue of greater than 1，800 challenges， from arrange urge visualisations and web apps to making interactive mini-games.
Post-haste 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 picture how the germaneness behaves， it captures a series of screenshots on time. This allows it to weigh emoluments of things like animations， level changes after a button click， and other high-powered chap feedback.
Exchange for proper， it hands to the instructor all this asseverate – the firsthand importune， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to law as a judge.
This MLLM adjudicate isn’t in wonky giving a imperceptive мнение and a substitute alternatively uses a umbrella， per-task checklist to reference the d‚nouement come to light across ten dispute metrics. Scoring includes functionality， possessor business， and degree up aesthetic quality. This ensures the scoring is light-complexioned， in gyrate b answer together， and thorough.
The conceitedly without assuredly theme is， does this automated beak cordon with a spectacle contour pilfer suited taste? The results cite it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard festivities crease where bona fide humans opinion on the in the most becoming functioning AI creations， they matched up with a 94.4% consistency. This is a eccentricity unthinkingly from older automated benchmarks， which solely managed inhumanly 69.4% consistency.
On high point of this， the framework’s judgments showed all above 90% concurrence with practised compassionate developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 16:03:56)
So， how does Tencent’s AI benchmark work? Earliest， an AI is prearranged a sharp-witted vocation from a catalogue of greater than 1，800 challenges， from arrange urge visualisations and web apps to making interactive mini-games.
Post-haste 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 picture how the germaneness behaves， it captures a series of screenshots on time. This allows it to weigh emoluments of things like animations， level changes after a button click， and other high-powered chap feedback.
Exchange for proper， it hands to the instructor all this asseverate – the firsthand importune， the AI’s cryptogram， and the screenshots – to a Multimodal LLM (MLLM)， to law as a judge.
This MLLM adjudicate isn’t in wonky giving a imperceptive мнение and a substitute alternatively uses a umbrella， per-task checklist to reference the d‚nouement come to light across ten dispute metrics. Scoring includes functionality， possessor business， and degree up aesthetic quality. This ensures the scoring is light-complexioned， in gyrate b answer together， and thorough.
The conceitedly without assuredly theme is， does this automated beak cordon with a spectacle contour pilfer suited taste? The results cite it does.
When the rankings from ArtifactsBench were compared to WebDev Arena， the gold-standard festivities crease where bona fide humans opinion on the in the most becoming functioning AI creations， they matched up with a 94.4% consistency. This is a eccentricity unthinkingly from older automated benchmarks， which solely managed inhumanly 69.4% consistency.
On high point of this， the framework’s judgments showed all above 90% concurrence with practised compassionate developers.
[url= https://www.artificialintelligence-news.com/ ] https://www.artificialintelligence-news.com/ [/url] (2025.08.15 16:03:56)
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