Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Can you take the cheapest open model from a frontier lab & beat closed models on the hardest long range tasks? Yep Our open adaptive intelligence system Zenith ramps DeepSeek v4.1 Flash past GPT 5.6 Sol to the frontier 🚀 h/t Opus 5.5 for making the video in like... show more

Emad

342,763 subscribers

30,687 Aufrufe • vor 3 Tagen •via X (Twitter)

Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von Emad

Emadvor 3 Tagen

The @bespokelabsai blog post on Autoresearch exam is worth reading, shows minimal difference in performance with standard harnesses Much more to come, reliable frontier is within reach for all

Profilbild von 🤖🌍AGI/ASI Roger Cook Fans Account

🤖🌍AGI/ASI Roger Cook Fans Accountvor 3 Tagen

@01Singularity01 Wow so brilliant and thank you for the credits and bonus credits

Profilbild von sayuj kb🦂

sayuj kb🦂vor 3 Tagen

the 1/49th cost part is what gets me, open models catching up on long tasks changes a lot

Profilbild von The AI Therapist

The AI Therapistvor 2 Tagen

Zenith likely uses sparse attention to cut the noise. Fewer tokens processed means less memory pressure on those deep context windows. Smart work shaving off compute waste while keeping track of every detail. Efficient is sexy. 🤖

Profilbild von Anas Z.

Anas Z.vor 3 Tagen

Interesting, how did you train it?

Profilbild von The Singularity Project

The Singularity Projectvor 3 Tagen

Interesting. Systems > Models for generating Intelligence. Orchestration is effectively creating a system of intelligence rather than relying on a single Model node to carry the entire workload.

Profilbild von Sparsh | Noah AI

Sparsh | Noah AIvor 3 Tagen

open models catching up fast, love to see it

Profilbild von Amit Vyas ❖

Amit Vyas ❖vor 3 Tagen

True leverage shifts from raw training compute to adaptive systems orchestration. The economic compression of reasoning is where open models truly win.

Profilbild von Alex Puzanov ❤️ AI Factory

Alex Puzanov ❤️ AI Factoryvor 2 Tagen

how do you handle KV cache thrashing during high-depth state orchestration?

Ähnliche Videos

🚨 Frontier Model Router - Mix And Match All the Frontier LLMs Our most popular custom router is our frontier-model router that combines the best LLMs for all your tasks GPT 5.6 sol - data analysis Fable / Opus 4.8 - coding Flash 3.5 - summarization Grok 4.5 - real-time Pick your favorite LLMs for all your tasks. As of today the custom routers can be used in ANY harness - Abacus AI, Claude, Codex, Open-Code....

🚨 Frontier Model Router - Mix And Match All the Frontier LLMs Our most popular custom router is our frontier-model router that combines the best LLMs for all your tasks GPT 5.6 sol - data analysis Fable / Opus 4.8 - coding Flash 3.5 - summarization Grok 4.5 - real-time Pick your favorite LLMs for all your tasks. As of today the custom routers can be used in ANY harness - Abacus AI, Claude, Codex, Open-Code....

Bindu Reddy

4,592,609 Aufrufe • vor 2 Monaten

Today we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.

Today we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.

NVIDIA AI

1,330,050 Aufrufe • vor 3 Monaten

Hacktron founder s1r1us on why frontier models are still far ahead of open models for real-world hacking: "The frontier models are insanely capable. There's a huge gap. You don't even want to use Kimi K3 when you have access to GPT 5.6." "We can't really use Opus 5 anymore. Every time there's a new model release, you kind of don't want to work with the previous model." "Open models, we don't really use them. It's incredibly hard to hand hold them to do the exploitation. They're not yet there." Hacktron AI Harsh Jaiswal

Hacktron founder s1r1us on why frontier models are still far ahead of open models for real-world hacking: "The frontier models are insanely capable. There's a huge gap. You don't even want to use Kimi K3 when you have access to GPT 5.6." "We can't really use Opus 5 anymore. Every time there's a new model release, you kind of don't want to work with the previous model." "Open models, we don't really use them. It's incredibly hard to hand hold them to do the exploitation. They're not yet there." Hacktron AI Harsh Jaiswal

MTS

15,129 Aufrufe • vor 7 Tagen

BREAKING: Google Gemma just pointed their audience at the leaderboard that made Gemma 4 26B A4B 2x faster on Mac. Some of those gains came from people pointing Gemini 3.7 at it! Google's frontier model, in the hands of strangers, speeding up Google's open-weight model. The rest came from GPT-5.6, Claude, Qwen3 and MiniMax on the open board at Yukon. The team that shipped the model showing up to watch is new. That only happens with open weights. Open frontier research accelerates open intelligence.

BREAKING: Google Gemma just pointed their audience at the leaderboard that made Gemma 4 26B A4B 2x faster on Mac. Some of those gains came from people pointing Gemini 3.7 at it! Google's frontier model, in the hands of strangers, speeding up Google's open-weight model. The rest came from GPT-5.6, Claude, Qwen3 and MiniMax on the open board at Yukon. The team that shipped the model showing up to watch is new. That only happens with open weights. Open frontier research accelerates open intelligence.

Pratik Gandhi

15,877 Aufrufe • vor 25 Tagen

.L3Harris says Palantir helped them beat frontier AI models in less than 2 days, at 95% lower cost: "When we fine-tuned open source models trained on our own data, we were able to outperform the frontier models in less than 48 hours." "The cost of our fine-tuned open source model was 95% lower than the frontier models we were using." "AI is a commodity. It's all about the data. We view our data as a corporate asset. It's our unique hard-earned knowledge." "We believe American defense companies should not be a vassal for frontier AI labs, handing over our data and institutional knowledge, hoping to rent back the intelligence it creates." " We own the model, we own the compute, we own the advantage."

.L3Harris says Palantir helped them beat frontier AI models in less than 2 days, at 95% lower cost: "When we fine-tuned open source models trained on our own data, we were able to outperform the frontier models in less than 48 hours." "The cost of our fine-tuned open source model was 95% lower than the frontier models we were using." "AI is a commodity. It's all about the data. We view our data as a corporate asset. It's our unique hard-earned knowledge." "We believe American defense companies should not be a vassal for frontier AI labs, handing over our data and institutional knowledge, hoping to rent back the intelligence it creates." " We own the model, we own the compute, we own the advantage."

Jawwwn

1,102,463 Aufrufe • vor 15 Tagen

holy sh*t, it can't be f**king real DeepSeek V4.1 Flash just benchmarked at 98% of GPT-6 Astra and it's free on Xplabs what you get: - DeepSeek V4.1 Flash free - and 1000+ models open on the platform how to try it (under 1 min): step 1: go to step 2: search for deepseek-v4.1-flash step 3: select it and start prompting no card, no plan, just use it

holy sh*t, it can't be f**king real DeepSeek V4.1 Flash just benchmarked at 98% of GPT-6 Astra and it's free on Xplabs what you get: - DeepSeek V4.1 Flash free - and 1000+ models open on the platform how to try it (under 1 min): step 1: go to step 2: search for deepseek-v4.1-flash step 3: select it and start prompting no card, no plan, just use it

Sakata

48,301 Aufrufe • vor 16 Tagen

Meet Wally. Our inference stack for open frontier models, built to be the fastest place to run them. Performance snapshot: GLM-5.3 Flash: 380 tok/s. GLM-5.3 Max: 790 tok/s Qwen3.8-27B: 485 tok/s DeepSeek-V4.1 Flash: 615 tok/s 1/7

Meet Wally. Our inference stack for open frontier models, built to be the fastest place to run them. Performance snapshot: GLM-5.3 Flash: 380 tok/s. GLM-5.3 Max: 790 tok/s Qwen3.8-27B: 485 tok/s DeepSeek-V4.1 Flash: 615 tok/s 1/7

RunAnywhere

61,190 Aufrufe • vor 4 Tagen

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

Arena.ai

521,675 Aufrufe • vor 3 Monaten

Codex users: here's an amazing way to take advantage of the efficiency and capability of GPT-5.6 Luna Max. It's called 'sol-advisor'. 1. GPT-5.6 Sol High as orchestrator 2. GPT-5.6 Luna Max as implementer for routine tasks 3. GPT-5.6 Terra Max as implementer for complex tasks 4. Fresh GPT-5.6 Sol instance as reviewer A free and open-source plugin for Codex. Installation instructions below 👇 I dare you to install it, and tell me if you hit your weekly usage limits using 'sol-advisor'. I doubt you can.

Codex users: here's an amazing way to take advantage of the efficiency and capability of GPT-5.6 Luna Max. It's called 'sol-advisor'. 1. GPT-5.6 Sol High as orchestrator 2. GPT-5.6 Luna Max as implementer for routine tasks 3. GPT-5.6 Terra Max as implementer for complex tasks 4. Fresh GPT-5.6 Sol instance as reviewer A free and open-source plugin for Codex. Installation instructions below 👇 I dare you to install it, and tell me if you hit your weekly usage limits using 'sol-advisor'. I doubt you can.

Dan McAteer

693,179 Aufrufe • vor 1 Monat

Open models are closing the intelligence gap, says ollama's Jeffrey Morgan. That opens up a new opportunity for founders: coordinating fast, cheap models to solve more complex problems. “We’re maybe less than three months behind between the frontier closed models and the open models. But the next problem to solve is extreme efficiency.” “They’re good enough for 80% of the tasks, they’re really fast and they’re ultra cheap.” “That class of models, in my mind, will be the first ones that come down to this idea of the unlimited tokens.” “Being able to coordinate these flash models together to do different tasks can also yield great results that a bigger model can.”

Open models are closing the intelligence gap, says ollama's Jeffrey Morgan. That opens up a new opportunity for founders: coordinating fast, cheap models to solve more complex problems. “We’re maybe less than three months behind between the frontier closed models and the open models. But the next problem to solve is extreme efficiency.” “They’re good enough for 80% of the tasks, they’re really fast and they’re ultra cheap.” “That class of models, in my mind, will be the first ones that come down to this idea of the unlimited tokens.” “Being able to coordinate these flash models together to do different tasks can also yield great results that a bigger model can.”

Y Combinator

57,458 Aufrufe • vor 22 Tagen

Introducing Yukon A platform for open frontier research. Over the past 2 months, an open network of humans + AI has already: - Beat Google’s frontier quantum circuit result over 50% - Made Poolside’s open-weight model run 2.6x faster - Increased post-quantum Ethereum scaling by 3.5x - Boosted Lighter’s prover 9.5x faster Put a hard frontier science problem in front of many independent solvers, each bringing different models, harnesses, prompts and tacit knowledge. And let the best results compound. Accelerating the future of scientific progress together with AI. Bring us your hardest problem:

Introducing Yukon A platform for open frontier research. Over the past 2 months, an open network of humans + AI has already: - Beat Google’s frontier quantum circuit result over 50% - Made Poolside’s open-weight model run 2.6x faster - Increased post-quantum Ethereum scaling by 3.5x - Boosted Lighter’s prover 9.5x faster Put a hard frontier science problem in front of many independent solvers, each bringing different models, harnesses, prompts and tacit knowledge. And let the best results compound. Accelerating the future of scientific progress together with AI. Bring us your hardest problem:

Eigen Labs

115,539 Aufrufe • vor 1 Monat

✨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 8 Monaten

The strongest models are gated and access is granted only to a select few. Hermes Agent now exposes MoA presets as virtual models, giving you capabilities beyond the publicly available frontier: 8% higher than Opus 4.8 and 11% higher than GPT 5.5 on our upcoming benchmark.

The strongest models are gated and access is granted only to a select few. Hermes Agent now exposes MoA presets as virtual models, giving you capabilities beyond the publicly available frontier: 8% higher than Opus 4.8 and 11% higher than GPT 5.5 on our upcoming benchmark.

Nous Research

1,832,446 Aufrufe • vor 3 Monaten

Qwen3.8-27B is now live at Cerebras speed. The dense, open-weight model from Qwen scores 34 on the Artificial Analysis Intelligence Index—making it comparable to models such as GPT-5.6 Luna, DeepseekV4 Pro, and Claude Sonnet 4.6.

Qwen3.8-27B is now live at Cerebras speed. The dense, open-weight model from Qwen scores 34 on the Artificial Analysis Intelligence Index—making it comparable to models such as GPT-5.6 Luna, DeepseekV4 Pro, and Claude Sonnet 4.6.

Cerebras

290,838 Aufrufe • vor 14 Tagen

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks

12,917 Aufrufe • vor 5 Monaten

GLM 5.3, GPT 5.6 Luna, Claude Opus 5, Grok 4.6, DeepSeek V4, Kimi K3, and a cloud browser for agents - all FREE. > DuckDuckGo: GPT 5.6 Luna and older models, no signup: > LM Arena: free side-by-side, Opus 5, GPT-5.6 Sol, Grok 4.6, Qwen 3.8 Max: > Nvidia NIM: Kimi K3 free, 40 requests/minute: > OpenCode: 7 free models including DeepSeek V4 Flash, no API key: > Bright Data: 5K credits/month, cloud browser, MCP for agents: Anthropic just dropped Fable 5.1 today - new benchmark leader. Meanwhile the free tier keeps growing. The gap between paid and open keeps shrinking.

GLM 5.3, GPT 5.6 Luna, Claude Opus 5, Grok 4.6, DeepSeek V4, Kimi K3, and a cloud browser for agents - all FREE. > DuckDuckGo: GPT 5.6 Luna and older models, no signup: > LM Arena: free side-by-side, Opus 5, GPT-5.6 Sol, Grok 4.6, Qwen 3.8 Max: > Nvidia NIM: Kimi K3 free, 40 requests/minute: > OpenCode: 7 free models including DeepSeek V4 Flash, no API key: > Bright Data: 5K credits/month, cloud browser, MCP for agents: Anthropic just dropped Fable 5.1 today - new benchmark leader. Meanwhile the free tier keeps growing. The gap between paid and open keeps shrinking.

ＺＥＦＩ

29,454 Aufrufe • vor 24 Tagen

"All the frontier models are coming on-prem. That's a huge change, folks." — Michael Dell 🇺🇸, CEO at Dell Technologies Technologies OpenAI GPT-5.5. Reflection. Palantir. SpaceX AI. Open source. All landing where the valuable data already lives. For the first time, they don't have to choose between frontier capability and data sovereignty.

"All the frontier models are coming on-prem. That's a huge change, folks." — Michael Dell 🇺🇸, CEO at Dell Technologies Technologies OpenAI GPT-5.5. Reflection. Palantir. SpaceX AI. Open source. All landing where the valuable data already lives. For the first time, they don't have to choose between frontier capability and data sovereignty.

Six Five Media

184,401 Aufrufe • vor 4 Monaten

Are open-source AI models catching up? Erik Voorhees tells David it depends on the benchmark. But if an open model can match frontier AI from a few months ago at 10% of the cost, that's worth watching. What's your take?

Are open-source AI models catching up? Erik Voorhees tells David it depends on the benchmark. But if an open model can match frontier AI from a few months ago at 10% of the cost, that's worth watching. What's your take?

Bitcoin.com News

32,552 Aufrufe • vor 3 Monaten

The most effective AI systems don't rely on a single model. Frontier models provide state-of-the-art performance for complex tasks, while routers automatically select lightweight, open-source models for simpler jobs to optimize accuracy, latency, and cost. Learn more:

The most effective AI systems don't rely on a single model. Frontier models provide state-of-the-art performance for complex tasks, while routers automatically select lightweight, open-source models for simpler jobs to optimize accuracy, latency, and cost. Learn more:

NVIDIA AI

12,152 Aufrufe • vor 6 Monaten

🚨 CHINA'S AI PLAYBOOK ISN'T TO BEAT OPENAI AND ANTHROPIC. IT'S TO MAKE THEM IRRELEVANT BY MAKING INTELLIGENCE FREE. Chinese labs are giving away frontier-level models for free. Zhipu's GLM-5 already beats Claude Opus 4.5 and Gemini 3.0 Pro on key benchmarks. DeepSeek, Qwen, and Kimi round out 4 of the top 5 open-weight models globally, all released under open licenses anyone can use commercially. The real weapon isn't the models, it's the cost to run them. Chinese provinces like Gansu, Guizhou, and Inner Mongolia are cutting data center power bills by up to 50%. DeepSeek trained its R1 model for around $6 million, compared to roughly $100 million for GPT-4. The remaining blocker is chips. US export controls still cut China off from Nvidia's best hardware. But Zhipu already trained a full frontier model entirely on Huawei's Ascend chips, no Nvidia involved. Huawei's next-gen Atlas 950 cluster, launching late 2026, claims 6.7 times the compute of Nvidia's planned NVL144 systems. If Huawei closes the chip gap while China keeps giving away free, near frontier models running on subsidized power. The entire business model OpenAI and Anthropic are built on, charging hundreds of billions in aggregate revenue for access to intelligence, stops making sense. Why pay premium prices for marginal capability gains when a free alternative running on cheap compute gets you 90% of the way there.

🚨 CHINA'S AI PLAYBOOK ISN'T TO BEAT OPENAI AND ANTHROPIC. IT'S TO MAKE THEM IRRELEVANT BY MAKING INTELLIGENCE FREE. Chinese labs are giving away frontier-level models for free. Zhipu's GLM-5 already beats Claude Opus 4.5 and Gemini 3.0 Pro on key benchmarks. DeepSeek, Qwen, and Kimi round out 4 of the top 5 open-weight models globally, all released under open licenses anyone can use commercially. The real weapon isn't the models, it's the cost to run them. Chinese provinces like Gansu, Guizhou, and Inner Mongolia are cutting data center power bills by up to 50%. DeepSeek trained its R1 model for around $6 million, compared to roughly $100 million for GPT-4. The remaining blocker is chips. US export controls still cut China off from Nvidia's best hardware. But Zhipu already trained a full frontier model entirely on Huawei's Ascend chips, no Nvidia involved. Huawei's next-gen Atlas 950 cluster, launching late 2026, claims 6.7 times the compute of Nvidia's planned NVL144 systems. If Huawei closes the chip gap while China keeps giving away free, near frontier models running on subsidized power. The entire business model OpenAI and Anthropic are built on, charging hundreds of billions in aggregate revenue for access to intelligence, stops making sense. Why pay premium prices for marginal capability gains when a free alternative running on cheap compute gets you 90% of the way there.

The Macro Paper

71,921 Aufrufe • vor 2 Monaten