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𝗜𝗟 𝗬 𝗔 𝟱𝟬 𝗔𝗡𝗦 𝗔𝗨𝗝𝗢𝗨𝗥𝗗'𝗛𝗨𝗜 🎂 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐀𝐥𝐢 🆚 𝐆𝐞𝐨𝐫𝐠𝐞 𝐅𝐨𝐫𝐞𝐦𝐚𝐧 Kinshasa 📍

ARENA

310,081 subscribers

280,416 Aufrufe • vor 1 Jahr •via X (Twitter)

Anya Rossi• Live Now

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Profilbild von MD🇸🇳

MD🇸🇳vor 1 Jahr

J’y étais jmen rappel l’ambiance était incroyable

Profilbild von The Devil's Voice

The Devil's Voicevor 1 Jahr

On dit que c'est le plus grand combat de boxe de tous les temps.

Profilbild von Lebron Firmino 🇰🇲

Lebron Firmino 🇰🇲vor 1 Jahr

ALI BOMAYE ALI BOMAYE

Profilbild von 🍇🍇🍇🇩🇿

🍇🍇🍇🇩🇿vor 1 Jahr

Alala la bonne époque je m'en rappelle comme si c'était hier

Profilbild von Nabil Chakier

Nabil Chakiervor 1 Jahr

Légendaire Ali boumayé

Profilbild von pirate

piratevor 1 Jahr

Ali meilleurs sportifs de tout les temps

Profilbild von Jonhy Ariotimessy

Jonhy Ariotimessyvor 1 Jahr

Ali tiens pas 12 rounds contre le top 3 HW actuel

Profilbild von Melina Kareen

Melina Kareenvor 1 Jahr

Ah bon, donc c'était en Afrique ? 🤔

Profilbild von Mzito

Mzitovor 1 Jahr

Bien et toi fiston

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62,793 Aufrufe • vor 7 Monaten

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️

Arena.ai

246,430 Aufrufe • vor 8 Monaten

✨Spotlight: Top 4 Code Arena open models Open models are moving fast, and this community is directly shaping how that progress shows up in real use. Your builds, votes, and experiments surface what frontier models can actually do in practice. To celebrate the momentum, we’re spotlighting the top open models in Code Arena (WebDev) 🧵👇 🔥 MiniMax (official) — MiniMax-M2.1 🤖 Z.ai — GLM-4.7 ✨ DeepSeek — Deepseek-v3.2-thinking 🚀 Xiaomi MiMo — Mimo-v2-flash (non-thinking) Let’s keep building in the open and raising the bar together 🚀

✨Spotlight: Top 4 Code Arena open models Open models are moving fast, and this community is directly shaping how that progress shows up in real use. Your builds, votes, and experiments surface what frontier models can actually do in practice. To celebrate the momentum, we’re spotlighting the top open models in Code Arena (WebDev) 🧵👇 🔥 MiniMax (official) — MiniMax-M2.1 🤖 Z.ai — GLM-4.7 ✨ DeepSeek — Deepseek-v3.2-thinking 🚀 Xiaomi MiMo — Mimo-v2-flash (non-thinking) Let’s keep building in the open and raising the bar together 🚀

Arena.ai

16,798 Aufrufe • vor 7 Monaten

Are open source models catching up to proprietary models? We’ve looked back at 3 years of Arena’s data to show how the race has evolved. For comparison, we’ve taken the top 20% of the models and uncovered the following: - Before mid 2024: The gap was between 100-150 points - In the second half of 2024, the gap rapidly narrowed to ~50 points - This was driven by the fact that proprietary models have not significantly improved between early 2023 and November 2024 - hovering around the 1350 score for the top 20% of proprietary models - Then since Jan 2025, we saw a parallel improvement in both proprietary and open source models - Meaning that for the last ~14 months the gap stayed steady at around 50-60 points For context, 50 points is the gap between the 1st and 20th place in the Overall leaderboard Today, proprietary models take up the first 20 spots on the Text Arena, with Anthropic, Google DeepMind , xAI and OpenAI leading in the rankings. The top open source models are ranked #20 (GLM-5 by Z.ai ), #23 (Kimi-K2.5-Thinking by Kimi.ai ) and #27 (Qwen3.5-397b-a17b by Qwen ).

Are open source models catching up to proprietary models? We’ve looked back at 3 years of Arena’s data to show how the race has evolved. For comparison, we’ve taken the top 20% of the models and uncovered the following: - Before mid 2024: The gap was between 100-150 points - In the second half of 2024, the gap rapidly narrowed to ~50 points - This was driven by the fact that proprietary models have not significantly improved between early 2023 and November 2024 - hovering around the 1350 score for the top 20% of proprietary models - Then since Jan 2025, we saw a parallel improvement in both proprietary and open source models - Meaning that for the last ~14 months the gap stayed steady at around 50-60 points For context, 50 points is the gap between the 1st and 20th place in the Overall leaderboard Today, proprietary models take up the first 20 spots on the Text Arena, with Anthropic, Google DeepMind , xAI and OpenAI leading in the rankings. The top open source models are ranked #20 (GLM-5 by Z.ai ), #23 (Kimi-K2.5-Thinking by Kimi.ai ) and #27 (Qwen3.5-397b-a17b by Qwen ).

Arena.ai

22,447 Aufrufe • vor 4 Monaten

We’ve challenged Claude Opus 4.6 by Anthropic with our hardest 3D prompts, it did not disappoint.

We’ve challenged Claude Opus 4.6 by Anthropic with our hardest 3D prompts, it did not disappoint.

Arena.ai

98,764 Aufrufe • vor 6 Monaten

We're excited to invite everyone to a new Beta version of LMArena! 🎉 For months, we’ve been poring through community feedback to improve the site—fixing errors/bugs, improving our UI layout, and more. To keep supporting the development and continual improvement of this platform, we’re also forming a company. Future improvements will continue to be community-driven. We can't wait to hear more feedback! 🧵👇

We're excited to invite everyone to a new Beta version of LMArena! 🎉 For months, we’ve been poring through community feedback to improve the site—fixing errors/bugs, improving our UI layout, and more. To keep supporting the development and continual improvement of this platform, we’re also forming a company. Future improvements will continue to be community-driven. We can't wait to hear more feedback! 🧵👇

lmarena.ai

91,844 Aufrufe • vor 1 Jahr

Who's the best AI software engineer? Introducing RepoChat Arena: the live AI software engineering battle! 1. Input any Github link (repo/issue/PR) 2. Ask the models to fix bugs, add features or chat with repo 3. Vote for the better one Try it now at

Who's the best AI software engineer? Introducing RepoChat Arena: the live AI software engineering battle! 1. Input any Github link (repo/issue/PR) 2. Ask the models to fix bugs, add features or chat with repo 3. Vote for the better one Try it now at

lmarena.ai

90,534 Aufrufe • vor 1 Jahr

Factuality and human preference are complementary signals. 00:00 Why we're adding factuality as a signal 00:14 Human preference vs. factuality: complementary, not the same 01:06 How this differs from style control 02:32 The math: reviewing the existing Bradley-Terry objective 04:27 Extending the objective to factuality 06:23 The composite objective: weighting human preference + factuality 07:14 Why rankings shift between human preference and factuality 07:34 Defining the factuality label 09:48 Why models aren't penalized for abstaining from claims 13:44 Confidence intervals via M-estimation and asymptotic normality 17:27 Wrap-up: what's next for factuality at Arena

Factuality and human preference are complementary signals. 00:00 Why we're adding factuality as a signal 00:14 Human preference vs. factuality: complementary, not the same 01:06 How this differs from style control 02:32 The math: reviewing the existing Bradley-Terry objective 04:27 Extending the objective to factuality 06:23 The composite objective: weighting human preference + factuality 07:14 Why rankings shift between human preference and factuality 07:34 Defining the factuality label 09:48 Why models aren't penalized for abstaining from claims 13:44 Confidence intervals via M-estimation and asymptotic normality 17:27 Wrap-up: what's next for factuality at Arena

Arena.ai

34,856 Aufrufe • vor 1 Monat

Arena reached a $100M annual revenue run rate just 8 months after launching our evaluation product. We started as a research project at UC Berkeley with a simple mission: measure AI progress through real-world use. As AI shifts from chatbots to agents taking on longer, higher-stakes work, the problem matters more than ever. Today, Arena measures real-world AI utility with a community of tens of millions. With Agent Arena, we’re evaluating long-running agents on complex, real-world tasks - how they use tools, adapt to feedback, recover from errors, and accomplish goals set by humans. We are excited to keep deepening our work in agentic evaluations. Here’s Anastasios Nikolas Angelopoulos on what this milestone means and where we go from here:

Arena reached a $100M annual revenue run rate just 8 months after launching our evaluation product. We started as a research project at UC Berkeley with a simple mission: measure AI progress through real-world use. As AI shifts from chatbots to agents taking on longer, higher-stakes work, the problem matters more than ever. Today, Arena measures real-world AI utility with a community of tens of millions. With Agent Arena, we’re evaluating long-running agents on complex, real-world tasks - how they use tools, adapt to feedback, recover from errors, and accomplish goals set by humans. We are excited to keep deepening our work in agentic evaluations. Here’s Anastasios Nikolas Angelopoulos on what this milestone means and where we go from here:

Arena.ai

210,934 Aufrufe • vor 1 Monat