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1000 results for “Benja”
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Benjamin Netanyahu made secret trip to UAE at height of the Iran war https://www.theguardian.com/world/2026/may/13/benjamin-netanyahu-made-secret-trip-to-uae-at-height-of-the-iran-war #Israel #BenjaminNetanyahu #UnitedArabEmirates #Iran #TheMossad #MiddleEastAndNorthAfrica #WorldNews
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Benjamin Netanyahu made secret trip to UAE at height of the Iran war https://www.theguardian.com/world/2026/may/13/benjamin-netanyahu-made-secret-trip-to-uae-at-height-of-the-iran-war #Israel #BenjaminNetanyahu #UnitedArabEmirates #Iran #TheMossad #MiddleEastAndNorthAfrica #WorldNews
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Benjamin Netanyahu made secret trip to UAE at height of the Iran war https://www.theguardian.com/world/2026/may/13/benjamin-netanyahu-made-secret-trip-to-uae-at-height-of-the-iran-war #Israel #BenjaminNetanyahu #UnitedArabEmirates #Iran #TheMossad #MiddleEastAndNorthAfrica #WorldNews
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Netanyahu diu que va visitar secretament els Emirats Àrabs Units enmig de l’ofensiva contra l’Iran https://www.vilaweb.cat/noticies/netanyahu-visita-secreta-emirats-arabs-units-ofensiva-iran/ #BenjaminNetanyahu #EmiratsÀrabsUnits #Llevant #Israel #Iran -
Netanyahu diu que va visitar secretament els Emirats Àrabs Units enmig de l’ofensiva contra l’Iran https://www.vilaweb.cat/noticies/netanyahu-visita-secreta-emirats-arabs-units-ofensiva-iran/ #BenjaminNetanyahu #EmiratsÀrabsUnits #Llevant #Israel #Iran -
Netanyahu diu que va visitar secretament els Emirats Àrabs Units enmig de l’ofensiva contra l’Iran https://www.vilaweb.cat/noticies/netanyahu-visita-secreta-emirats-arabs-units-ofensiva-iran/ #BenjaminNetanyahu #EmiratsÀrabsUnits #Llevant #Israel #Iran -
Netanyahu diu que va visitar secretament els Emirats Àrabs Units enmig de l’ofensiva contra l’Iran https://www.vilaweb.cat/noticies/netanyahu-visita-secreta-emirats-arabs-units-ofensiva-iran/ #BenjaminNetanyahu #EmiratsÀrabsUnits #Llevant #Israel #Iran -
Agent token cost grows quadratically in turns without caching, roughly linearly with caching. A new post fits those curves to SWE-bench traces on three models. Cross-model finding shows something interesting: Gemini 3 Flash takes 2× as many turns as GPT-5.2 or Opus 4.6, so its leaner per-turn verbosity (~300 tokens vs ~1,000) still burns more total tokens.
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Agent token cost grows quadratically in turns without caching, roughly linearly with caching. A new post fits those curves to SWE-bench traces on three models. Cross-model finding shows something interesting: Gemini 3 Flash takes 2× as many turns as GPT-5.2 or Opus 4.6, so its leaner per-turn verbosity (~300 tokens vs ~1,000) still burns more total tokens.
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Agent token cost grows quadratically in turns without caching, roughly linearly with caching. A new post fits those curves to SWE-bench traces on three models. Cross-model finding shows something interesting: Gemini 3 Flash takes 2× as many turns as GPT-5.2 or Opus 4.6, so its leaner per-turn verbosity (~300 tokens vs ~1,000) still burns more total tokens.
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Agent token cost grows quadratically in turns without caching, roughly linearly with caching. A new post fits those curves to SWE-bench traces on three models. Cross-model finding shows something interesting: Gemini 3 Flash takes 2× as many turns as GPT-5.2 or Opus 4.6, so its leaner per-turn verbosity (~300 tokens vs ~1,000) still burns more total tokens.
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Agent token cost grows quadratically in turns without caching, roughly linearly with caching. A new post fits those curves to SWE-bench traces on three models. Cross-model finding shows something interesting: Gemini 3 Flash takes 2× as many turns as GPT-5.2 or Opus 4.6, so its leaner per-turn verbosity (~300 tokens vs ~1,000) still burns more total tokens.
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Benjamin Broersma (@forumstandaardisatie), member of the Dutch Internet Standards Platform, will speak at the 5th #NISDUC Conference in Brussels on 19–20 May 2026.
As part of a breakout session on #cybersecurity tools on 19 May, he will present about https://Internet.nl and the organisations involved, explain how the tool provides insight into the compliance of websites, email, and internet connections with modern #InternetStandards, and help you get started.
🧵 1/3
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Benjamin Broersma (@forumstandaardisatie), member of the Dutch Internet Standards Platform, will speak at the 5th #NISDUC Conference in Brussels on 19–20 May 2026.
As part of a breakout session on #cybersecurity tools on 19 May, he will present about https://Internet.nl and the organisations involved, explain how the tool provides insight into the compliance of websites, email, and internet connections with modern #InternetStandards, and help you get started.
🧵 1/3
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Benjamin Broersma (@forumstandaardisatie), member of the Dutch Internet Standards Platform, will speak at the 5th #NISDUC Conference in Brussels on 19–20 May 2026.
As part of a breakout session on #cybersecurity tools on 19 May, he will present about https://Internet.nl and the organisations involved, explain how the tool provides insight into the compliance of websites, email, and internet connections with modern #InternetStandards, and help you get started.
🧵 1/3
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Benjamin Broersma (@forumstandaardisatie), member of the Dutch Internet Standards Platform, will speak at the 5th #NISDUC Conference in Brussels on 19–20 May 2026.
As part of a breakout session on #cybersecurity tools on 19 May, he will present about https://Internet.nl and the organisations involved, explain how the tool provides insight into the compliance of websites, email, and internet connections with modern #InternetStandards, and help you get started.
🧵 1/3
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Benjamin Broersma (@forumstandaardisatie), member of the Dutch Internet Standards Platform, will speak at the 5th #NISDUC Conference in Brussels on 19–20 May 2026.
As part of a breakout session on #cybersecurity tools on 19 May, he will present about https://Internet.nl and the organisations involved, explain how the tool provides insight into the compliance of websites, email, and internet connections with modern #InternetStandards, and help you get started.
🧵 1/3
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Thinking Machines Lab announced research preview of "interaction models", which was trained from-scratch for real-time multimodal collaboration, 200ms micro-turns, audio+video+text+tools concurrent. Their bet: today's chat UX fits "answering inference", not collaboration, so capable AI defaults to autonomous use and looks like labor substitution. Could we change the debate by changing the UI/UX?
https://benjaminhan.net/posts/20260512-interaction-models/?utm_source=mastodon&utm_medium=social
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Thinking Machines Lab announced research preview of "interaction models", which was trained from-scratch for real-time multimodal collaboration, 200ms micro-turns, audio+video+text+tools concurrent. Their bet: today's chat UX fits "answering inference", not collaboration, so capable AI defaults to autonomous use and looks like labor substitution. Could we change the debate by changing the UI/UX?
https://benjaminhan.net/posts/20260512-interaction-models/?utm_source=mastodon&utm_medium=social
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Thinking Machines Lab announced research preview of "interaction models", which was trained from-scratch for real-time multimodal collaboration, 200ms micro-turns, audio+video+text+tools concurrent. Their bet: today's chat UX fits "answering inference", not collaboration, so capable AI defaults to autonomous use and looks like labor substitution. Could we change the debate by changing the UI/UX?
https://benjaminhan.net/posts/20260512-interaction-models/?utm_source=mastodon&utm_medium=social
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Thinking Machines Lab announced research preview of "interaction models", which was trained from-scratch for real-time multimodal collaboration, 200ms micro-turns, audio+video+text+tools concurrent. Their bet: today's chat UX fits "answering inference", not collaboration, so capable AI defaults to autonomous use and looks like labor substitution. Could we change the debate by changing the UI/UX?
https://benjaminhan.net/posts/20260512-interaction-models/?utm_source=mastodon&utm_medium=social
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Thinking Machines Lab announced research preview of "interaction models", which was trained from-scratch for real-time multimodal collaboration, 200ms micro-turns, audio+video+text+tools concurrent. Their bet: today's chat UX fits "answering inference", not collaboration, so capable AI defaults to autonomous use and looks like labor substitution. Could we change the debate by changing the UI/UX?
https://benjaminhan.net/posts/20260512-interaction-models/?utm_source=mastodon&utm_medium=social
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SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.
https://benjaminhan.net/posts/20260512-score/?utm_source=mastodon&utm_medium=social
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SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.
https://benjaminhan.net/posts/20260512-score/?utm_source=mastodon&utm_medium=social
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SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.
https://benjaminhan.net/posts/20260512-score/?utm_source=mastodon&utm_medium=social
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SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.
https://benjaminhan.net/posts/20260512-score/?utm_source=mastodon&utm_medium=social
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SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.
https://benjaminhan.net/posts/20260512-score/?utm_source=mastodon&utm_medium=social
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Let's Verify Step by Step compares process and outcome supervision on MATH. The process-reward model reaches 78.2% best-of-1860 vs 72.4% for outcome. But that gap narrows fast at small N, where most deployments actually live.
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Benjamín Netanyahu y el uso expansivo del derecho internacional vinculado a Costa Rica
Benjamín Netanyahu y el uso expansivo del derecho internacional vinculado a Costa Rica
El artículo de opinión del académico Nicolás Boeglin (publicado el 04 y 05 de mayo en este diario) sobre una eventual visita del primer ministro Benjamín Netanyahu al traspaso de poderes en Costa Rica cons [...]#BenjaminNetanyahu #CorteInternacionalDeJusticia #DerechoInternacional #Israel #Opinión
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Benjamín Netanyahu y el uso expansivo del derecho internacional vinculado a Costa Rica
Benjamín Netanyahu y el uso expansivo del derecho internacional vinculado a Costa Rica
El artículo de opinión del académico Nicolás Boeglin (publicado el 04 y 05 de mayo en este diario) sobre una eventual visita del primer ministro Benjamín Netanyahu al traspaso de poderes en Costa Rica cons [...]#BenjaminNetanyahu #CorteInternacionalDeJusticia #DerechoInternacional #Israel #Opinión