Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

JEV put System One models on the map. We think the category should be open. So we built Instinct. 87.45% accuracy vs Jev's 86.58%. 5.5x faster in our test. Up to 76% cheaper. All weights open. And it doesn't generate a single word. The demo below? Generated by our... show more

Ning Hu

1,858 subscribers

34,329 görüntüleme • 28 gün önce •via X (Twitter)

Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

7 Yorum

Ning Hu profil fotoğrafı

Ning Hu28 gün önce

Why build a model that doesn't talk? As agents move from chatting to acting, much of their work is choosing, not writing: → Which tool? → Approve or reject? → Route or escalate? → Automate or hand to a human? Yet we still make LLMs write an essay to pick one.

Ning Hu profil fotoğrafı

Ning Hu28 gün önce

How it works: context + rules + options → calibrated probabilities No prose to generate. No JSON to parse. Accuracy tells you if a model is useful. Calibration tells you if you can trust it to act. 90% sure? Automate. Under 60%? Escalate.

Ning Hu profil fotoğrafı

Ning Hu28 gün önce

Three models, all open-weight: Dual 4B, Tuned 4B and 27B. Or use our hosted API, free in preview. Benchmarks: 27B vs Jev 1.13.0, same 231 questions. Pricing: 27B is 30% cheaper than Jev; the 4B models, up to 76%.

Ning Hu profil fotoğrafı

Ning Hu28 gün önce

Try it: Blog + test setup: Weights (tuned 4B): Maybe not every AI problem needs a model that talks. Some just need a model that decides.

Paul Young profil fotoğrafı

Paul Young28 gün önce

My bet: a year from now, nobody will ask whether an AI writes well, only whether it can say "I'm not sure."

Scott Shapiro profil fotoğrafı

Scott Shapiro28 gün önce

The no-generated-text part makes the output interface interesting. How do you help someone inspect a wrong decision and understand which input mattered, without turning the result back into a speculative explanation?

Easton Coleford profil fotoğrafı

Easton Coleford28 gün önce

Impressive results — open weights, strong accuracy, and a big efficiency gain. The fact that the demo itself was generated by the agent makes it even more compelling.

Benzer Videolar

Jev is the most exciting AI release in months. So I built the open, in-browser version 🎉 open-jev: System One style decisions running 100% on your device. Text in, typed answers out, one forward pass. Nothing is generated, so it can't hallucinate.

Jev is the most exciting AI release in months. So I built the open, in-browser version 🎉 open-jev: System One style decisions running 100% on your device. Text in, typed answers out, one forward pass. Nothing is generated, so it can't hallucinate.

🤷 Nico Martin

19,691 görüntüleme • 1 ay önce

Local Laya moggs Jev at Grok 4.7-built Tetris 🧩 An open-weights System One model called Laya, beat cloud-based Jev at playing Tetris by making decisions 11 times faster, running locally on a 16GB MacBook Air! Run AI models locally ->

Local Laya moggs Jev at Grok 4.7-built Tetris 🧩 An open-weights System One model called Laya, beat cloud-based Jev at playing Tetris by making decisions 11 times faster, running locally on a 16GB MacBook Air! Run AI models locally ->

atomic.chat

1,101,104 görüntüleme • 1 ay önce

For the past 50 years, every operating system was built for one user: the human. Introducing Open Swarm, the operating system built for AI. Up to 2x faster and 3.5x cheaper. Your apps, files, teams, and agents in one place. The next 50 years will be built for agents.

For the past 50 years, every operating system was built for one user: the human. Introducing Open Swarm, the operating system built for AI. Up to 2x faster and 3.5x cheaper. Your apps, files, teams, and agents in one place. The next 50 years will be built for agents.

Open Swarm

210,612 görüntüleme • 21 gün önce

Introducing Oasis: the first playable AI-generated game. We partnered with Decart to build a real-time, interactive world model that runs >10x faster on Sohu. We're open-sourcing the model architecture, weights, and research. Here's how it works (and a demo you can play!):

Introducing Oasis: the first playable AI-generated game. We partnered with Decart to build a real-time, interactive world model that runs >10x faster on Sohu. We're open-sourcing the model architecture, weights, and research. Here's how it works (and a demo you can play!):

Etched

24,724,453 görüntüleme • 2 yıl önce

.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

1,107,125 görüntüleme • 1 ay önce

Jev, an AI model built by a former OpenAI researcher, went viral over the past week with the promise of a cheaper and faster alternative to large language models

Jev, an AI model built by a former OpenAI researcher, went viral over the past week with the promise of a cheaper and faster alternative to large language models

Bloomberg

24,825 görüntüleme • 1 ay önce

Introducing Helmor The open-source, local-first answer to Conductor. A more refined, faster GUI for orchestrating coding agents. No cloud. One-click import from Conductor. AI made coding faster. Helmor is about finishing the rest of the loop: orchestration, workspaces, review, testing, and merge. We believe the next generation of GUI agent orchestration should be built in the open — by the community.

Introducing Helmor The open-source, local-first answer to Conductor. A more refined, faster GUI for orchestrating coding agents. No cloud. One-click import from Conductor. AI made coding faster. Helmor is about finishing the rest of the loop: orchestration, workspaces, review, testing, and merge. We believe the next generation of GUI agent orchestration should be built in the open — by the community.

Caspian 東澔

123,298 görüntüleme • 6 ay önce

Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.

Today we're announcing Base Labs, a dedicated research organization focused on advancing open-source AI. We believe in a healthy, open frontier model ecosystem. To enable this, we are working on: - Blue-sky research on continual learning, the science of RL, and how models learn across their full lifecycle, with every experiment and recipe shared openly. - The BaseHub Data Foundry: the highest-quality open RL environments, training data, and real-world benchmarks, built for anyone to train and benchmark on. - Post-post training: taking open-source models and making them better, safer, and more aligned through continual post-training, built on our research, and deployed with our frontier safety stack so organizations can use open-source models with confidence. - Making models cheaper and more performant through our model performance research. This is a mission-driven research effort, not a commercial product. We believe the health of the open-source AI ecosystem matters and that the best way to advance it is to do science in the open. We’re hiring engineers, researchers, and research fellows to advance this mission.

Base Labs

245,571 görüntüleme • 1 ay önce

Jev made our Slack agent 2x faster ⚡️ Our agent can be quite slow because it needs to read skills and figure out which tools to call. We used TypeSafe AI's new model to speed this up by first passing it the prompt and classifying the best skill, tool and params to use before handing it to the agent

Jev made our Slack agent 2x faster ⚡️ Our agent can be quite slow because it needs to read skills and figure out which tools to call. We used TypeSafe AI's new model to speed this up by first passing it the prompt and classifying the best skill, tool and params to use before handing it to the agent

John Yeo

35,432 görüntüleme • 1 ay önce

Our AI research assistant - Caliban - is getting better. In the demo below, Fernando Vidal shows how easy it is to test strategies you encounter on social media. We will begin offering Caliban to our clients by the end of this month. For info, sign up below

Our AI research assistant - Caliban - is getting better. In the demo below, Fernando Vidal shows how easy it is to test strategies you encounter on social media. We will begin offering Caliban to our clients by the end of this month. For info, sign up below

3Fourteen Research

29,204 görüntüleme • 9 ay önce

ELON: CHINA HAS THE BEST OPEN SOURCE AI MODELS RIGHT NOW “The best open source models are generally from China, which is bizarre. I think the second best one, or maybe it’s better than second best, is Grok 2.5. The open source model is actually very good, and we will continue to open source our models.” Source: The All-In Podcast

ELON: CHINA HAS THE BEST OPEN SOURCE AI MODELS RIGHT NOW “The best open source models are generally from China, which is bizarre. I think the second best one, or maybe it’s better than second best, is Grok 2.5. The open source model is actually very good, and we will continue to open source our models.” Source: The All-In Podcast

Mario Nawfal

1,163,582 görüntüleme • 1 yıl önce

We have completed migrating all 11 million users on the Cline extension to our new SDK harness, built for open weights models. Task mistake rates have dropped from 6.34% → 0.62%. This was our biggest update ever, and almost nobody noticed since it was entirely under the hood.

We have completed migrating all 11 million users on the Cline extension to our new SDK harness, built for open weights models. Task mistake rates have dropped from 6.34% → 0.62%. This was our biggest update ever, and almost nobody noticed since it was entirely under the hood.

Cline

17,158 görüntüleme • 1 ay önce

Day 1 of the NVIDIA and Akash Network ( $AKT ) Hackathon was off to a strong start! We will be contributing a project that uses the latest technology with the following tracks: 1) Nemotron Track: We will use NVIDIA’s Nemotron models to give our agent the intelligence to execute tasks. 2) Akash Network ( $AKT ) Open Source Track: We are building an AI agent on the Akash open source ecosystem. Big thanks to the amazing sponsors: Google Cloud AITX Community ionstream J.P. Morgan Antler webAI Weights & Biases Workloop AI NVIDIA AI Developer NVIDIA Developer

Day 1 of the NVIDIA and Akash Network ( $AKT ) Hackathon was off to a strong start! We will be contributing a project that uses the latest technology with the following tracks: 1) Nemotron Track: We will use NVIDIA’s Nemotron models to give our agent the intelligence to execute tasks. 2) Akash Network ( $AKT ) Open Source Track: We are building an AI agent on the Akash open source ecosystem. Big thanks to the amazing sponsors: Google Cloud AITX Community ionstream J.P. Morgan Antler webAI Weights & Biases Workloop AI NVIDIA AI Developer NVIDIA Developer

Frank Ramos

28,422 görüntüleme • 1 yıl önce

1M users joined our community! Thanks for your love! Now we are excited to announce that AI Terminal is ready to launch. Here is a 5 minutes live demo without any edit. AI Terminal is the early version of Agent browser (you can also call it Agent OS). It's backed by our agent network routing and orchestration technologies. Chainopera AI is built by crypto, for crypto! We are looking forwards to see great agents and AI models contributed by the community. We will officially release it to our early community remembers starting from ETH Denver. See you in our booth!

1M users joined our community! Thanks for your love! Now we are excited to announce that AI Terminal is ready to launch. Here is a 5 minutes live demo without any edit. AI Terminal is the early version of Agent browser (you can also call it Agent OS). It's backed by our agent network routing and orchestration technologies. Chainopera AI is built by crypto, for crypto! We are looking forwards to see great agents and AI models contributed by the community. We will officially release it to our early community remembers starting from ETH Denver. See you in our booth!

ChainOpera AI

550,901 görüntüleme • 1 yıl önce

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

Harper Carroll

30,392 görüntüleme • 2 ay önce

Introducing Nav Arena, over 150 real and simulated environments to benchmark Agents on robots As a first experiment, we put Jev, Astra, Fable, Dimcode, and other models + harnesses to the test on 2000+ navigation tasks Fully open source! Code, data, and results below

Introducing Nav Arena, over 150 real and simulated environments to benchmark Agents on robots As a first experiment, we put Jev, Astra, Fable, Dimcode, and other models + harnesses to the test on 2000+ navigation tasks Fully open source! Code, data, and results below

stash

17,244 görüntüleme • 29 gün önce

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

GeniusThinking

14,769 görüntüleme • 4 ay önce

We built the first AI system to achieve the industry standard CAD certification for mechanical engineers. Our agent autonomously built parts and assembled mechanisms, passing the SOLIDWORKS Professional exam in less than 3 hours. Details below, including a concerning discovery.

We built the first AI system to achieve the industry standard CAD certification for mechanical engineers. Our agent autonomously built parts and assembled mechanisms, passing the SOLIDWORKS Professional exam in less than 3 hours. Details below, including a concerning discovery.

Spectral Labs

95,379 görüntüleme • 15 gün önce

Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”

Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”

Patrick OShaughnessy

270,315 görüntüleme • 3 ay önce

Today we are introducing Tara. Biological datasets are a source of insights and a means to train biological AI models. As the ability to reason at scale emerges, they take on a new role: the ground truth for testing what reasoning models produce, and the environment in which those models operate, get feedback, and improve. Tara, our autonomous research agent, is embedded in our ever-expanding datasets, lab-generated and synthetic, and built to test and evolve the hypotheses frontier models generate, matching the pace at which they produce new ideas. By keeping those models grounded in a vast space of high-precision biological data, we believe we can compound biological reasoning and close the impedance mismatch between hypothesis generation and validation.

Today we are introducing Tara. Biological datasets are a source of insights and a means to train biological AI models. As the ability to reason at scale emerges, they take on a new role: the ground truth for testing what reasoning models produce, and the environment in which those models operate, get feedback, and improve. Tara, our autonomous research agent, is embedded in our ever-expanding datasets, lab-generated and synthetic, and built to test and evolve the hypotheses frontier models generate, matching the pace at which they produce new ideas. By keeping those models grounded in a vast space of high-precision biological data, we believe we can compound biological reasoning and close the impedance mismatch between hypothesis generation and validation.

Nima Alidoust

30,911 görüntüleme • 4 ay önce