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WF's Model Comparison is a game-changing tool optimized for web AND mobile use! 📱⚡ 🔍 View all 26 weather models side by side 📈 Spot trends & forecast shifts in seconds ⛈️ Track the latest model runs anytime, anywhere 👀 What if we told you this was recorded on...

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WeatherFront

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66,399 просмотров • 3 месяцев назад •via X (Twitter)

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🚀 Introducing Spaghetti Models For Free A powerful way to track possible tropical storm paths and compare forecast scenarios. With this update, you can now: - View the latest and historical model runs - Filter models to focus on the guidance you trust - See and download intensity graphs to track trends over time Stay ahead of the storm with clearer insights than ever before. Check out the latest model run for Tropical Storm Fernand here: Available now for free on: iOS: Android: Browser: And to Plus/Pro subscribers using our Windows/Mac/Linux App
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🚀 Introducing Spaghetti Models For Free A powerful way to track possible tropical storm paths and compare forecast scenarios. With this update, you can now: - View the latest and historical model runs - Filter models to focus on the guidance you trust - See and download intensity graphs to track trends over time Stay ahead of the storm with clearer insights than ever before. Check out the latest model run for Tropical Storm Fernand here: Available now for free on: iOS: Android: Browser: And to Plus/Pro subscribers using our Windows/Mac/Linux App

WeatherWise.app

36,216 просмотров • 1 год назад

Today we’re releasing APK Arena: a frontier benchmark for evaluating AI agents on phone-use. We ran GPT 5.6 for a side by side comparison where it outperformed other models across the board and is currently leading on APK Arena. 50+ levels: taps, vision, memory, games, real tasks. Here's how it did vs every other frontier model 🧵
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Today we’re releasing APK Arena: a frontier benchmark for evaluating AI agents on phone-use. We ran GPT 5.6 for a side by side comparison where it outperformed other models across the board and is currently leading on APK Arena. 50+ levels: taps, vision, memory, games, real tasks. Here's how it did vs every other frontier model 🧵

Jan Schnyder

10,155 просмотров • 3 месяцев назад

We all know the pain of choosing the right model. You have an idea, testing it one model at a time in ten different tabs, using a spreadsheet to track usable outputs. Stop guessing and start building with Creator Central by Atlas Cloud. Model Explorer runs the same prompt across models and puts the results side by side, up to 10 at once. Start from a curated set or assemble your own. With Wan3.0 coming shortly, we're dropping the price of Seedance 2.5 so creators can compare and choose the right model for their projects. Create something now with our Generator templated workflow: Pick what you like and access the exact prompt and settings behind that result, ready for you to edit. #AIVideo #GenerativeAI #VideoProduction #Seedance #Wan3
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We all know the pain of choosing the right model. You have an idea, testing it one model at a time in ten different tabs, using a spreadsheet to track usable outputs. Stop guessing and start building with Creator Central by Atlas Cloud. Model Explorer runs the same prompt across models and puts the results side by side, up to 10 at once. Start from a curated set or assemble your own. With Wan3.0 coming shortly, we're dropping the price of Seedance 2.5 so creators can compare and choose the right model for their projects. Create something now with our Generator templated workflow: Pick what you like and access the exact prompt and settings behind that result, ready for you to edit. #AIVideo #GenerativeAI #VideoProduction #Seedance #Wan3

Atlas Cloud

644,923 просмотров • 2 месяцев назад

Pro model in ChatGPT does feel very different - the generations are a lot faster (20 mins vs 60-80 mins for Pro Extended) and the quality is really excellent. I'll do a side by side later, but this golden gate is quite excellent vs what all other models can do in one shot.
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Pro model in ChatGPT does feel very different - the generations are a lot faster (20 mins vs 60-80 mins for Pro Extended) and the quality is really excellent. I'll do a side by side later, but this golden gate is quite excellent vs what all other models can do in one shot.

Peter Gostev

239,052 просмотров • 6 месяцев назад

This got a few bookmarks, so here's a better side-by-side for you guys~! My background image is static but feels so cozy. All compositing to make my model mesh well into the surroundings and glow as if back-lit by my rooms LEDs is done in Shoost. ♡
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This got a few bookmarks, so here's a better side-by-side for you guys~! My background image is static but feels so cozy. All compositing to make my model mesh well into the surroundings and glow as if back-lit by my rooms LEDs is done in Shoost. ♡

Aluei 🤍🪽 PLUSHIE OUT NOW!! ´ˎ˗

72,851 просмотров • 5 месяцев назад

Animated #GaussianSplatting can now be streamed like a YouTube video. So far, you had to download large files BEFORE experiencing them anywhere, but Gracia has just released several demos that stream like a normal video. The first thing I tried was to make a side-by-side comparison, but I could hardly notice any difference. As long as you have a solid internet connection, you can play them on the web, headset and even on mobile in #augmentedreality. Interested in the latest in #3D, #XR and #AI? This is the type of news and updates I share every week on my newsletter (link on top of my profile).
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Animated #GaussianSplatting can now be streamed like a YouTube video. So far, you had to download large files BEFORE experiencing them anywhere, but Gracia has just released several demos that stream like a normal video. The first thing I tried was to make a side-by-side comparison, but I could hardly notice any difference. As long as you have a solid internet connection, you can play them on the web, headset and even on mobile in #augmentedreality. Interested in the latest in #3D, #XR and #AI? This is the type of news and updates I share every week on my newsletter (link on top of my profile).

Gabriele Romagnoli

44,321 просмотров • 7 месяцев назад

Today we shipped a new Search experience in Chrome to help you explore the web without constant back and forth between tabs. Now, when you click a link from AI Mode, the website opens side-by-side. It's a game changer for comparing details and products across sites, discovering new content & asking follow up Qs about what you’re seeing – all in one view. If you're in the U.S. try it on Chrome desktop today! Just make sure you’ve got the latest version of Chrome to try it out⚡️
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Today we shipped a new Search experience in Chrome to help you explore the web without constant back and forth between tabs. Now, when you click a link from AI Mode, the website opens side-by-side. It's a game changer for comparing details and products across sites, discovering new content & asking follow up Qs about what you’re seeing – all in one view. If you're in the U.S. try it on Chrome desktop today! Just make sure you’ve got the latest version of Chrome to try it out⚡️

Robby Stein

120,841 просмотров • 6 месяцев назад

WeatherFront is now available on Android! 🎉📱 Download today and join our early access testing! Built by meteorologists for weather enthusiasts and professionals alike, WeatherFront brings powerful weather data together in one fast, intuitive mobile experience. 🌩️ FREE 24-hour Radar & Satellite Loops 🌪️ NWS Watches, Warnings & Advisories 📱 Model Data Optimized for Mobile 🌀 Tropical, Severe, Fire, Flood & Climate Outlooks ⚡ Lightning Data & Storm Reports 📊 Surface Observations & Analysis Tools From tracking severe weather to planning ahead, WeatherFront puts the data you need at your fingertips—all in one place. 🎉 ANDROID EARLY ACCESS OFFER Subscribe to WeatherFront Advanced during early access and get 50% off your first month! 📲 Get WeatherFront on Google Play: As an early access user, your feedback matters. Reviews, bug reports, and feature suggestions help us improve WeatherFront and shape what comes next. Download WeatherFront, start your 7-day free trial, and let us know what you think!
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WeatherFront is now available on Android! 🎉📱 Download today and join our early access testing! Built by meteorologists for weather enthusiasts and professionals alike, WeatherFront brings powerful weather data together in one fast, intuitive mobile experience. 🌩️ FREE 24-hour Radar & Satellite Loops 🌪️ NWS Watches, Warnings & Advisories 📱 Model Data Optimized for Mobile 🌀 Tropical, Severe, Fire, Flood & Climate Outlooks ⚡ Lightning Data & Storm Reports 📊 Surface Observations & Analysis Tools From tracking severe weather to planning ahead, WeatherFront puts the data you need at your fingertips—all in one place. 🎉 ANDROID EARLY ACCESS OFFER Subscribe to WeatherFront Advanced during early access and get 50% off your first month! 📲 Get WeatherFront on Google Play: As an early access user, your feedback matters. Reviews, bug reports, and feature suggestions help us improve WeatherFront and shape what comes next. Download WeatherFront, start your 7-day free trial, and let us know what you think!

WeatherFront

54,476 просмотров • 2 месяцев назад

We asked AI models to build the Eiffel Tower in 3D, offline. Two of them added all 72 scientists' names to it, in order, from memory We did not expect this. Every AA-3D model got the same brief of about 200 words, on the tower's shape, lattice, platforms and lighting. It never mentions the names. Gustave Eiffel put the names of 72 French scientists, engineers, and mathematicians under the tower's first platform, 18 on each side. Claude Opus 5.5 and Grok 4.7 wrote all 72, with each side in the real order. Claude Opus 5.5 also put each set on the side that faces the same way in Paris. Each model built its scene as an agent in a sandbox with no internet access. In both runs, the names first appear in code the model wrote, never in a file or tool output it read. Congratulations to , Elon Musk and Anthropic on two seriously knowledgeable models
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We asked AI models to build the Eiffel Tower in 3D, offline. Two of them added all 72 scientists' names to it, in order, from memory We did not expect this. Every AA-3D model got the same brief of about 200 words, on the tower's shape, lattice, platforms and lighting. It never mentions the names. Gustave Eiffel put the names of 72 French scientists, engineers, and mathematicians under the tower's first platform, 18 on each side. Claude Opus 5.5 and Grok 4.7 wrote all 72, with each side in the real order. Claude Opus 5.5 also put each set on the side that faces the same way in Paris. Each model built its scene as an agent in a sandbox with no internet access. In both runs, the names first appear in code the model wrote, never in a file or tool output it read. Congratulations to , Elon Musk and Anthropic on two seriously knowledgeable models

Artificial Analysis

36,993 просмотров • 8 дней назад

Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.
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Small Language Models (SML) are the future of AI. "Small" (SML) instead of "Large" (LLM). These small models are highly specialized models with superhuman abilities on specific tasks. Here are two techniques to build these models: • Spectrum • Model Merging I give you a short introduction in the attached video, but here is a quick summary: Spectrum helps us identify the most relevant layers to solve one specific task. We can ignore everything else and focus on fine-tuning these layers. Using Spectrum, we can fine-tune models in a heartbeat. Model Merging combines multiple models into a unique, much better model than any of the individual input models. You can also combine models specialized in different tasks and get a model with multiple abilities. This is the state of the art of productizing models. It's what Arcee.ai's platform does behind the scenes. Arcee collaborated with me on this post and is sponsoring it. There are three main steps to produce a model for your particular use case: 1. You create a dataset by uploading your data. 2. You train a model. At this step, Arcee uses Spectrum and Model Merging to produce a highly specialized model for your task. 3. You can deploy that model to any environment you want. Three important notes: • Training process is 2x faster and 2x cheaper than regular fine-tuning. • Resultant models are smaller and have higher accuracy. • They create these specialized models from open-source models. Check this site so you can fully appreciate how this works: If you want to fine-tune an open-source model, consider Arcee's platform. This is the state of the art.

Santiago

164,162 просмотров • 2 лет назад

turns out my habits were only half of it 9 steps to cut your Grok Bot usage by over 50% (if you're on a Cursor plan): 1. open cursor desktop app settings 2. go to the models option in the side menu 3. flip off any models you don't want to be using 4. next, set task models in the top of the page to a model you prefer that's cost efficient (do not leave it on default, this is IMPORTANT) 5. otherwise... your task models could auto set to high and/or fast... that's a more expensive model, and you get billed 2x 6. after, you'll click on the cloud agents option in your side menu, and it'll take you to the cursor web dashboard for your account 7. you will need to scroll down to the preferences section on that page and click on the default model option (again IMPORTANT) 8. set that to a cost efficient model you prefer and don't leave it on default... otherwise your cloud agents may use high and/or fast yet again 9. bonus tip (won't apply to most): lastly click on the spending option in your web dashboard's side menu and also make sure your on-demand usage is not on unlimited and is set to a cap you're comfortable with my token usage has reduced 60% after doing this and I'm sure it'll be different for everyone... but make sure to check this process can be a tad bit confusing too let me know if you need any help!
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turns out my habits were only half of it 9 steps to cut your Grok Bot usage by over 50% (if you're on a Cursor plan): 1. open cursor desktop app settings 2. go to the models option in the side menu 3. flip off any models you don't want to be using 4. next, set task models in the top of the page to a model you prefer that's cost efficient (do not leave it on default, this is IMPORTANT) 5. otherwise... your task models could auto set to high and/or fast... that's a more expensive model, and you get billed 2x 6. after, you'll click on the cloud agents option in your side menu, and it'll take you to the cursor web dashboard for your account 7. you will need to scroll down to the preferences section on that page and click on the default model option (again IMPORTANT) 8. set that to a cost efficient model you prefer and don't leave it on default... otherwise your cloud agents may use high and/or fast yet again 9. bonus tip (won't apply to most): lastly click on the spending option in your web dashboard's side menu and also make sure your on-demand usage is not on unlimited and is set to a cap you're comfortable with my token usage has reduced 60% after doing this and I'm sure it'll be different for everyone... but make sure to check this process can be a tad bit confusing too let me know if you need any help!

klöss

35,750 просмотров • 1 месяц назад

New LFM2.5-2.6B hits DeepSeek-V4 level on tool calling and runs 3.7x faster! We ran Liquid AI 's new LFM2.5-2.6B against DeepSeek-V4-Flash on one box with 4x RTX 5090. Both got the same three jobs, and each one only completes if the model fires every tool call Topics: -weather and local time in six cities -one budget into six currencies -four hotels checked and booked for one date Outputs: LFM2.5-2.6B: 35/35 tool-calls, 366 tok/s, 19s DeepSeek-V4-Flash: 35/35 tool-calls, 77 tok/s, 70s Both models made all 35 calls, and both fired twelve of them in one turn. LFM was trained for agents, and tool calling is where that shows. Strong result for a model you can run right on your phone
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New LFM2.5-2.6B hits DeepSeek-V4 level on tool calling and runs 3.7x faster! We ran Liquid AI 's new LFM2.5-2.6B against DeepSeek-V4-Flash on one box with 4x RTX 5090. Both got the same three jobs, and each one only completes if the model fires every tool call Topics: -weather and local time in six cities -one budget into six currencies -four hotels checked and booked for one date Outputs: LFM2.5-2.6B: 35/35 tool-calls, 366 tok/s, 19s DeepSeek-V4-Flash: 35/35 tool-calls, 77 tok/s, 70s Both models made all 35 calls, and both fired twelve of them in one turn. LFM was trained for agents, and tool calling is where that shows. Strong result for a model you can run right on your phone

atomic.chat

113,185 просмотров • 2 месяцев назад

Got introduced to , an AI code assistant specialised for Unity by Julian Park and after dabbling with it for a day, I am really impressed with how good it is for vibe coding on the Unity Game Engine. Bezi early impressions: - Bezi works direcly on Unity with a Plugin, this means that I don't need a Unity MCP - Because Bezi is built for Unity, the success rate of feature implementations is visibly higher than general coding models - It was able to integrate Unity store assets like a Weather system to this game pretty seamlessly - I was able to add a fishing database, lighting and weather systems into this game fairly quickly I'm very impressed with the results with Bezi so far. I feel that vibe coding a full indie game on Unity and releasing it on Steam, Mobile and Web is within reach. This also validates one thing that I have been suspecting: A specialised model designed for a specific use case can perform better than a general model at the particular domain. Very exciting!
0:30

Got introduced to , an AI code assistant specialised for Unity by Julian Park and after dabbling with it for a day, I am really impressed with how good it is for vibe coding on the Unity Game Engine. Bezi early impressions: - Bezi works direcly on Unity with a Plugin, this means that I don't need a Unity MCP - Because Bezi is built for Unity, the success rate of feature implementations is visibly higher than general coding models - It was able to integrate Unity store assets like a Weather system to this game pretty seamlessly - I was able to add a fishing database, lighting and weather systems into this game fairly quickly I'm very impressed with the results with Bezi so far. I feel that vibe coding a full indie game on Unity and releasing it on Steam, Mobile and Web is within reach. This also validates one thing that I have been suspecting: A specialised model designed for a specific use case can perform better than a general model at the particular domain. Very exciting!

Danny Limanseta

49,601 просмотров • 7 месяцев назад

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription
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Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

savip.

68,984 просмотров • 3 месяцев назад

🎥 Lace Mobile Alpha Build This is a look at what we’re currently testing on mobile: ⚡ Quicker access to core actions 🧭 Clearer, more intentional flows 📱 An experience designed specifically for mobile use Lace Mobile is still under active development. We’re focusing on strong foundations and refining the UX step by step. A public beta is planned for later in February, offering early access for users who want to explore the mobile experience and help shape what comes next. More soon...
0:24

🎥 Lace Mobile Alpha Build This is a look at what we’re currently testing on mobile: ⚡ Quicker access to core actions 🧭 Clearer, more intentional flows 📱 An experience designed specifically for mobile use Lace Mobile is still under active development. We’re focusing on strong foundations and refining the UX step by step. A public beta is planned for later in February, offering early access for users who want to explore the mobile experience and help shape what comes next. More soon...

lace.io

10,712 просмотров • 9 месяцев назад

I actually got stopped by Galloway Twp Police on my bike for riding on the wrong side of the road. The only reason I was on the wrong side was because his car was parked on the side of the road I was riding on. Then tells me I need a "Bell" on my bike or it's an "Equipment Violation" which is a first to me. I'm all for "Law Enforcement" but this is a ridiculous use of my tax dollars if you ask me. 💯🇺🇸
4:13

I actually got stopped by Galloway Twp Police on my bike for riding on the wrong side of the road. The only reason I was on the wrong side was because his car was parked on the side of the road I was riding on. Then tells me I need a "Bell" on my bike or it's an "Equipment Violation" which is a first to me. I'm all for "Law Enforcement" but this is a ridiculous use of my tax dollars if you ask me. 💯🇺🇸

TheMastiffMafia

13,975 просмотров • 2 месяцев назад

Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on Hugging Face, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...
3:28

Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on Hugging Face, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...

kwindla

334,795 просмотров • 1 месяц назад

🔥👀WOW. “White people are IGNORANT… perhaps complicit & privileged” - Keisha Lance Bottoms That is what the Democrat candidate TIED for Georgia Governor said to Oprah in 2020. What if I told you she was another hand selected Obama candidate? What if I told you she was on the short list for VP for Biden with Kamala? We ALL know who was really choosing the VP. What if I told you she spoke at an Open Society Soros immigration panel? What if I told you that Panel was moderated by Patrick Gaspard who is one of Obama’s closest advisors for DECADES? What if I told you Gaspard was an advisor and still is to Mamdani? What if I told you at this panel she said the “Revolution wasn’t a one time thing?” At the end she says what we are doing may seem small but it’s part of a LARGER REVOLUTION. Now what kind of revolution do you think they are talking about Jack Posobiec ??
2:17

🔥👀WOW. “White people are IGNORANT… perhaps complicit & privileged” - Keisha Lance Bottoms That is what the Democrat candidate TIED for Georgia Governor said to Oprah in 2020. What if I told you she was another hand selected Obama candidate? What if I told you she was on the short list for VP for Biden with Kamala? We ALL know who was really choosing the VP. What if I told you she spoke at an Open Society Soros immigration panel? What if I told you that Panel was moderated by Patrick Gaspard who is one of Obama’s closest advisors for DECADES? What if I told you Gaspard was an advisor and still is to Mamdani? What if I told you at this panel she said the “Revolution wasn’t a one time thing?” At the end she says what we are doing may seem small but it’s part of a LARGER REVOLUTION. Now what kind of revolution do you think they are talking about Jack Posobiec ??

Johnny St.Pete

122,900 просмотров • 20 дней назад

How to use 50+ API keys (models) for FREE on OpenClaw API??? - go to - login or register your account - click on "more models" - click on "use case" and select what you need it for - choose the model and open it - click on "view code" → "Generate API key" many models don't allow direct deploy, so use the "view code" button to generate API access basically Nvidia NIM gives you the ability to test almost any model from their list for FREE some of them are not worse than GPT 5.2 or Claude Opus 4.6, some might even perform better depending on the task how to understand if a model is efficient and compare it with others??? - go to - type the model name in search - click on "benchmarks" - you’ll see performance tests and rankings this way you can easily compare free models with paid ones of course there are RPM limits, on many models it’s around ~40 requests per minute each model is different, after generating the API key, RPM limits are shown in the top-right corner nothing stops you from using them, many work perfectly fine, super solid option for first tests and for learning OpenClaw or any other system where you need an AI API model
1:54

How to use 50+ API keys (models) for FREE on OpenClaw API??? - go to - login or register your account - click on "more models" - click on "use case" and select what you need it for - choose the model and open it - click on "view code" → "Generate API key" many models don't allow direct deploy, so use the "view code" button to generate API access basically Nvidia NIM gives you the ability to test almost any model from their list for FREE some of them are not worse than GPT 5.2 or Claude Opus 4.6, some might even perform better depending on the task how to understand if a model is efficient and compare it with others??? - go to - type the model name in search - click on "benchmarks" - you’ll see performance tests and rankings this way you can easily compare free models with paid ones of course there are RPM limits, on many models it’s around ~40 requests per minute each model is different, after generating the API key, RPM limits are shown in the top-right corner nothing stops you from using them, many work perfectly fine, super solid option for first tests and for learning OpenClaw or any other system where you need an AI API model

Ronin

58,974 просмотров • 8 месяцев назад