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🚀 New Video Alert – GPT-5 in Copilot Studio! GPT-5 has officially arrived in Microsoft Copilot Studio, and I couldn’t resist putting it to the test. In this video, I explore: 🔍 GPT-5 Auto & GPT-5 Reasoning models for custom agents. 🛠 How I leveraged GPT-5 Chat inside a...

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Daniel Christian

9,601 subscribers

14,705 次观看 • 1 年前 •via X (Twitter)

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GROK 4.20 JUST SMOKED GPT‑5, CLAUDE, AND GEMINI It beat GPT-5, Gemini 3, and Claude in forecasting real-world events. Only actual humans who do this for a living are ahead of it. And Elon says the best parts of Grok 4.20 aren’t even online yet. This version isn’t even finished training. Just imagine what Grok 5 will be able to do!
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GROK 4.20 JUST SMOKED GPT‑5, CLAUDE, AND GEMINI It beat GPT-5, Gemini 3, and Claude in forecasting real-world events. Only actual humans who do this for a living are ahead of it. And Elon says the best parts of Grok 4.20 aren’t even online yet. This version isn’t even finished training. Just imagine what Grok 5 will be able to do!

Mario Nawfal

966,130 次观看 • 7 个月前

AI agents can do animation for you now. All I did was create the character in GPT Image 2.0. Fable 5 handled the story and prompt, then I used Renoise CLI to run it with Seedance 2.0. Prompt in thread ⤵️
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AI agents can do animation for you now. All I did was create the character in GPT Image 2.0. Fable 5 handled the story and prompt, then I used Renoise CLI to run it with Seedance 2.0. Prompt in thread ⤵️

Kiki

90,651 次观看 • 1 个月前

Claude Fable 5 and Opus 5 are #1 when it comes to UI. GPT 5.6 Sol and Grok 4.6 don't come anywhere close to the design capabilities that Claude models have. Even though Fable 5 and Opus 5 are slow and expensive I keep finding myself reaching for them for design. This hero section was made with Fable 5 and Opus 5.
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Claude Fable 5 and Opus 5 are #1 when it comes to UI. GPT 5.6 Sol and Grok 4.6 don't come anywhere close to the design capabilities that Claude models have. Even though Fable 5 and Opus 5 are slow and expensive I keep finding myself reaching for them for design. This hero section was made with Fable 5 and Opus 5.

BridgeMind

58,743 次观看 • 28 天前

New Claude Sonnet 5 performs at GPT 5.5 level 6x cheaper! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics crash demos Prompts: - A car crashes into a brick wall - A wrecking ball destroys a house - A catapult throws a rock at a castle wall Outputs: Sonnet 5: 15,047 tokens, $0.15 Opus 4.8: 23,063 tokens, $0.58 Sonnet 4.6: 25,824 tokens, $0.39 GPT 5.5: 31,152 tokens, $0.94 Sonnet 5 did as well as Opus 4.8 and GPT 5.5 on all three tests. In the wrecking ball test, it beat Opus 4.8. The cable moves smoothly and every hit connects. In the catapult test, it beat GPT 5.5. The rock always lands inside the wall. Sonnet 5 still needs better detail and graphics. But it used fewer tokens than every other model
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New Claude Sonnet 5 performs at GPT 5.5 level 6x cheaper! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics crash demos Prompts: - A car crashes into a brick wall - A wrecking ball destroys a house - A catapult throws a rock at a castle wall Outputs: Sonnet 5: 15,047 tokens, $0.15 Opus 4.8: 23,063 tokens, $0.58 Sonnet 4.6: 25,824 tokens, $0.39 GPT 5.5: 31,152 tokens, $0.94 Sonnet 5 did as well as Opus 4.8 and GPT 5.5 on all three tests. In the wrecking ball test, it beat Opus 4.8. The cable moves smoothly and every hit connects. In the catapult test, it beat GPT 5.5. The rock always lands inside the wall. Sonnet 5 still needs better detail and graphics. But it used fewer tokens than every other model

atomic.chat

728,796 次观看 • 2 个月前

I topped up $5 on an API aggregator ToAPIs Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0
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I topped up $5 on an API aggregator ToAPIs Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0

Shami

22,991 次观看 • 3 个月前

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.
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#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

🩵BlueBeba🩵

18,300 次观看 • 6 个月前

Claude Fable 5 for $0 + $200+ free credits 😳 Seek AI is giving new users free credits to test premium AI models what you get: - $200+ free credits - Claude Fable 5 / Opus 5 - GPT 5.6 + more models - one API for multiple models - OpenAI compatible - no credit card getting started: 1. go to 2. create your account 3. create your API key 4. use base URL: 5. choose Claude Fable 5 6. start testing one account one API multiple models $200+ credits without paying upfront worth testing if you want to try premium AI models for free
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Claude Fable 5 for $0 + $200+ free credits 😳 Seek AI is giving new users free credits to test premium AI models what you get: - $200+ free credits - Claude Fable 5 / Opus 5 - GPT 5.6 + more models - one API for multiple models - OpenAI compatible - no credit card getting started: 1. go to 2. create your account 3. create your API key 4. use base URL: 5. choose Claude Fable 5 6. start testing one account one API multiple models $200+ credits without paying upfront worth testing if you want to try premium AI models for free

K2S

41,629 次观看 • 23 天前

GPT 6 Astra is INSANE. It built the backrooms in blender and then added VHS effects etc. Took 30 minutes to make it and another 20 to export. This isn't AI generated video it's all in blender. It did the sound effects too. aprox 5 prompts.
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GPT 6 Astra is INSANE. It built the backrooms in blender and then added VHS effects etc. Took 30 minutes to make it and another 20 to export. This isn't AI generated video it's all in blender. It did the sound effects too. aprox 5 prompts.

Duncan Trussell

6,368,766 次观看 • 13 天前

Big news, friends! I hereby introduce It's a multi-agent chat app with special features for collaborative ranking and estimation tasks, to help you quickly fact-check AI responses against each other. It has GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, and Grok 4, and built-in systems for comparing and aggregating their responses. If you try it, post feature requests for me and the team theMultiplicity.ai!
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Big news, friends! I hereby introduce It's a multi-agent chat app with special features for collaborative ranking and estimation tasks, to help you quickly fact-check AI responses against each other. It has GPT-5, Claude Opus 4.1, Gemini 2.5 Pro, and Grok 4, and built-in systems for comparing and aggregating their responses. If you try it, post feature requests for me and the team theMultiplicity.ai!

Andrew Critch (🤖🩺🚀)

20,645 次观看 • 10 个月前

Code Interpreter in ChatGPT is incredible! Took me 5 mins to make this game. You can make your own game assets with any AI generator and then ask GPT-4 with Code Interpreter to write code. If you have any problems you can ask it to fix the errors. 1. Write this prompt: "write p5.js code for Asteroids where you control a spaceship with the mouse and shoot asteroids with the left click of the mouse. If your spaceship collides with an asteroid, you lose. If you shoot down all asteroids, you win! I want to use my own textures for the spaceship and for asteroids." 2. Go to Openprocessing website create and save sketch (you'll need to save it before uploading any texture files). Copy paste code from GPT-4 3. Generate texture files and remove backgrounds, for example in Clip Drop 4. Replace names of files with your filenames 5. Run the program 6. If something doesn't work ask GPT-4 to fix it (you can copy an error and paste in GPT-4) like you would ask a human programmer 7. To learn a bit of programming write these prompts to GPT-4: "Act as my programming teacher. Tell me an algorithm of Asteroids game in detail and make names of functions and explain what each of these functions will do. Don't write the code just yet." and then " Can you describe the algorithm overall for a 10-year-old child"
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Code Interpreter in ChatGPT is incredible! Took me 5 mins to make this game. You can make your own game assets with any AI generator and then ask GPT-4 with Code Interpreter to write code. If you have any problems you can ask it to fix the errors. 1. Write this prompt: "write p5.js code for Asteroids where you control a spaceship with the mouse and shoot asteroids with the left click of the mouse. If your spaceship collides with an asteroid, you lose. If you shoot down all asteroids, you win! I want to use my own textures for the spaceship and for asteroids." 2. Go to Openprocessing website create and save sketch (you'll need to save it before uploading any texture files). Copy paste code from GPT-4 3. Generate texture files and remove backgrounds, for example in Clip Drop 4. Replace names of files with your filenames 5. Run the program 6. If something doesn't work ask GPT-4 to fix it (you can copy an error and paste in GPT-4) like you would ask a human programmer 7. To learn a bit of programming write these prompts to GPT-4: "Act as my programming teacher. Tell me an algorithm of Asteroids game in detail and make names of functions and explain what each of these functions will do. Don't write the code just yet." and then " Can you describe the algorithm overall for a 10-year-old child"

Kris Kashtanova

1,675,286 次观看 • 3 年前

🚨Grok 4.20 ( Obsidian) A landing page of cybertruck , this model has some Gemini level frontend ( but it's still in the nascent few more brushes needed ) This was with a proper long prompt ( and I guided the design aesthetic) , want to see gpt 5 pro comparison with this ?
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🚨Grok 4.20 ( Obsidian) A landing page of cybertruck , this model has some Gemini level frontend ( but it's still in the nascent few more brushes needed ) This was with a proper long prompt ( and I guided the design aesthetic) , want to see gpt 5 pro comparison with this ?

Chetaslua

37,606 次观看 • 8 个月前

This feels less like ""AI image generation"" and more like actually directing a shot. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. I started with a real photo and used GPT-6 Astra + Blender to recreate it as a clay-style scene. Then I used Seedance 2. 5 to figure out the movement and camera motion. The last step happens in Dreamina - turning that clay animation into a live-action result. The separation of structure → motion → final look is what makes this workflow interesting. #Dreamina #DreaminaPartner
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This feels less like ""AI image generation"" and more like actually directing a shot. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. I started with a real photo and used GPT-6 Astra + Blender to recreate it as a clay-style scene. Then I used Seedance 2. 5 to figure out the movement and camera motion. The last step happens in Dreamina - turning that clay animation into a live-action result. The separation of structure → motion → final look is what makes this workflow interesting. #Dreamina #DreaminaPartner

Enzo Sanchez | IA

56,485 次观看 • 6 天前

You can now orchestrate Fable 5, Sol, and any model inside Codex with one plugin. It's called Codex-Orchestration. Assign Fable 5 as the advisor, Sol as the executor, or any model to any role. Then define the order they work in. Codex handles the routing. I ran Fable 5 High as planner with GPT-5.6 Sol Extra High as executor on a set of issues Opus and GPT-5.5 always struggled with. Done in 30 minutes. 40% fewer limit hits. 2x faster implementation. Install it by pasting this into Codex: "Install Codex Orchestration: codex plugin marketplace add Cjbuilds/Codex-Orchestration codex plugin add codex-orchestration@codex-orchestration Verify the installation, then tell me to start a new task." Then assign your models: @ codex-orchestration advisor: Claude Fable 5 High, Executor: GPT-5.6 Sol High Open source. Tweak the routing however you want.
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You can now orchestrate Fable 5, Sol, and any model inside Codex with one plugin. It's called Codex-Orchestration. Assign Fable 5 as the advisor, Sol as the executor, or any model to any role. Then define the order they work in. Codex handles the routing. I ran Fable 5 High as planner with GPT-5.6 Sol Extra High as executor on a set of issues Opus and GPT-5.5 always struggled with. Done in 30 minutes. 40% fewer limit hits. 2x faster implementation. Install it by pasting this into Codex: "Install Codex Orchestration: codex plugin marketplace add Cjbuilds/Codex-Orchestration codex plugin add codex-orchestration@codex-orchestration Verify the installation, then tell me to start a new task." Then assign your models: @ codex-orchestration advisor: Claude Fable 5 High, Executor: GPT-5.6 Sol High Open source. Tweak the routing however you want.

Alvaro Cintas

92,149 次观看 • 2 个月前

Fable 5 totally crushed our new contest, but it cost 6x more than Opus 4.8! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: — A train derailing off a broken bridge into the water — Two cars jumping off ramps and colliding mid-air over a canyon — A monster truck crushing a row of parked cars Outputs: Fable 5: 62,158 tokens, $3.12 GPT 5.5: 37,753 tokens, $1.14 Opus 4.8: 22,280 tokens, $0.56 GLM 5.2: 36,246 tokens, $0.08 Fable 5 did all three scenes at A+. The crashes looked real, things fell and broke the right way, and nothing went through the ground or floated. GPT 5.5 was the closest to Fable. In the Bigfoot show, we think GPT was even a little better. GLM 5.2 did not win any scene, but it was the cheapest by far. Fable is the best pick for quality, but you pay more for it.
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Fable 5 totally crushed our new contest, but it cost 6x more than Opus 4.8! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: — A train derailing off a broken bridge into the water — Two cars jumping off ramps and colliding mid-air over a canyon — A monster truck crushing a row of parked cars Outputs: Fable 5: 62,158 tokens, $3.12 GPT 5.5: 37,753 tokens, $1.14 Opus 4.8: 22,280 tokens, $0.56 GLM 5.2: 36,246 tokens, $0.08 Fable 5 did all three scenes at A+. The crashes looked real, things fell and broke the right way, and nothing went through the ground or floated. GPT 5.5 was the closest to Fable. In the Bigfoot show, we think GPT was even a little better. GLM 5.2 did not win any scene, but it was the cheapest by far. Fable is the best pick for quality, but you pay more for it.

atomic.chat

2,840,996 次观看 • 2 个月前

Been playing with a different approach to AI commercials. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Instead of asking AI to generate the final video in one shot, I broke the process into stages: 1. Photo → Clay: GPT-6 Astra + Blender 2. Clay → Motion: Seedance 2. 5 3. Motion → Live Action: Dreamina The clay stage gives you a much clearer visual foundation, while Seedance handles the movement before Dreamina brings the shot back to a realistic finish. Feels much closer to an actual production workflow. #Dreamina #DreaminaPartner
0:10

Been playing with a different approach to AI commercials. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Instead of asking AI to generate the final video in one shot, I broke the process into stages: 1. Photo → Clay: GPT-6 Astra + Blender 2. Clay → Motion: Seedance 2. 5 3. Motion → Live Action: Dreamina The clay stage gives you a much clearer visual foundation, while Seedance handles the movement before Dreamina brings the shot back to a realistic finish. Feels much closer to an actual production workflow. #Dreamina #DreaminaPartner

Shabnam Parveen

57,249 次观看 • 7 天前

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)
0:11

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)

Akash Anand

517,132 次观看 • 2 个月前

Okay this is really cool. Codex app has a new feature that is really useful. Highlight any text, and you'll notice a new popup. "More Details" uses GPT 5.5 Instant to explain in more detail about the highlighted portion of your text, allowing you to understand the reasoning/concept/statement/etc in greater detail. What's interesting about this versus a side chat is that it's instantaneous, and still retains context from the thread. With /side chat, you'd have to type out a prompt "what are the details on this?" With "more details" the prompt is implicit and the response is instantenous Very nice feature, as I'm always making side chats/branches to expand/learn/understand agent outputs better.
0:17

Okay this is really cool. Codex app has a new feature that is really useful. Highlight any text, and you'll notice a new popup. "More Details" uses GPT 5.5 Instant to explain in more detail about the highlighted portion of your text, allowing you to understand the reasoning/concept/statement/etc in greater detail. What's interesting about this versus a side chat is that it's instantaneous, and still retains context from the thread. With /side chat, you'd have to type out a prompt "what are the details on this?" With "more details" the prompt is implicit and the response is instantenous Very nice feature, as I'm always making side chats/branches to expand/learn/understand agent outputs better.

am.will

38,580 次观看 • 2 个月前

This is wild, I just gave Kimi K3, Grok 4.5, GPT 4.6 Sol, and Claude Opus 5 a starting cue, then asked them to finish the drawing themselves I also told them to be CREATIVE in their own way These are the results, and ngl I genuinely can't decide which one hits the best
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This is wild, I just gave Kimi K3, Grok 4.5, GPT 4.6 Sol, and Claude Opus 5 a starting cue, then asked them to finish the drawing themselves I also told them to be CREATIVE in their own way These are the results, and ngl I genuinely can't decide which one hits the best

Ann Nguyen

419,220 次观看 • 1 个月前