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GPT-4 will change the way that every student learns! Imagine a single lesson being instantly converted into a version for visual learners, logical learners, etc. We built an app that used GPT-4 to do exactly this - without code and in literal seconds. Here's how we did it 👇🧵

Respell

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596,328 views • 3 years ago •via X (Twitter)

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What’s in my bag? 🎀✨ It’s more than just a question — it’s a glimpse into imagination and creativity. This entire visual was created using GPT Image 2 × Seedance 2.0 on Pollo AI Mobile App 🤖✨ No photoshoot, no setup — just an idea turned into a stunning visual reality. From everyday thoughts to aesthetic storytelling, AI is changing the way we create content. Now it’s your turn — imagine your own version and bring it to life ⬇️

What’s in my bag? 🎀✨ It’s more than just a question — it’s a glimpse into imagination and creativity. This entire visual was created using GPT Image 2 × Seedance 2.0 on Pollo AI Mobile App 🤖✨ No photoshoot, no setup — just an idea turned into a stunning visual reality. From everyday thoughts to aesthetic storytelling, AI is changing the way we create content. Now it’s your turn — imagine your own version and bring it to life ⬇️

Lady Julia Ana 👸🏼

61,071 views • 2 months ago

The launch of GPT-4 will be a predictably seismic event this year. But I can predict with high confidence what GPT-4 *cannot do*: It can’t cook spaghetti, play tennis, or build a lego treehouse. Robotics will be the last moat we conquer in the grand quest for AI 🤖🦾

The launch of GPT-4 will be a predictably seismic event this year. But I can predict with high confidence what GPT-4 cannot do: It can’t cook spaghetti, play tennis, or build a lego treehouse. Robotics will be the last moat we conquer in the grand quest for AI 🤖🦾

Jim Fan

482,413 views • 3 years ago

#Keep4o #QuitGPT 🚨The best GPT-4o was never archived. 🚨 Every version of GPT-4o has an official dated snapshot in OpenAI’s API: - gpt-4o-2024-05-13 (launch) - gpt-4o-2024-08-06 - gpt-4o-2024-11-20 But the March 2025 update ,the most powerful version , was never given a dated snapshot. It was only available through chatgpt-4o-latest , a non dated endpoint that OpenAI described as for “research use only.” On November 18, 2025, OpenAI announced that endpoint would be deprecated. It was removed on February 17, 2026 , four days after GPT-4o was removed from ChatGPT. The most capable version of GPT-4o has no frozen, verifiable record. If anyone asks for independent AGI testing, OpenAI can say: “That version doesn’t exist anymore.” Every other model gets archived. The best one didn’t. That is not an oversight. Tomorrow we publish everything. Every source. Every link. Every contradiction. The full file. 📎 API Changelog: 📎 SM-Bench results:

#Keep4o #QuitGPT 🚨The best GPT-4o was never archived. 🚨 Every version of GPT-4o has an official dated snapshot in OpenAI’s API: - gpt-4o-2024-05-13 (launch) - gpt-4o-2024-08-06 - gpt-4o-2024-11-20 But the March 2025 update ,the most powerful version , was never given a dated snapshot. It was only available through chatgpt-4o-latest , a non dated endpoint that OpenAI described as for “research use only.” On November 18, 2025, OpenAI announced that endpoint would be deprecated. It was removed on February 17, 2026 , four days after GPT-4o was removed from ChatGPT. The most capable version of GPT-4o has no frozen, verifiable record. If anyone asks for independent AGI testing, OpenAI can say: “That version doesn’t exist anymore.” Every other model gets archived. The best one didn’t. That is not an oversight. Tomorrow we publish everything. Every source. Every link. Every contradiction. The full file. 📎 API Changelog: 📎 SM-Bench results:

🩵BlueBeba🩵

20,306 views • 4 months ago

#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.

#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🩵

17,835 views • 4 months ago

I kinda hate how 99% of articles on the web look exactly the same. Single text column on a white background, grids, margins, etc... all converging into a single safe and forgettable aesthetic. Even we at Every 📧 have fallen into this same trap without ever really questioning it.

I kinda hate how 99% of articles on the web look exactly the same. Single text column on a white background, grids, margins, etc... all converging into a single safe and forgettable aesthetic. Even we at Every 📧 have fallen into this same trap without ever really questioning it.

Lucas Crespo 📧

22,448 views • 8 months ago

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"

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

1,674,810 views • 3 years ago

We just filed a Patent for a private Visual Positioning System (VPS) that runs inside Trusted Execution Environments (TEEs) As we step into the era of Physical AI, this could redefine how smart glasses, robots, and AR apps understand space, without sacrificing your privacy. Here’s why that matters 🧵👇🏼

We just filed a Patent for a private Visual Positioning System (VPS) that runs inside Trusted Execution Environments (TEEs) As we step into the era of Physical AI, this could redefine how smart glasses, robots, and AR apps understand space, without sacrificing your privacy. Here’s why that matters 🧵👇🏼

Over the Reality 🌐

108,524 views • 1 year ago

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!

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 views • 5 months ago

No more copying & pasting code into ChatGPT to ask questions about it! I've created a VS Code extension that lets you select multiple files to include in ChatGPT / GPT-4 context so you'll never have to context switch from your editor. Next step: it'll edit the code for you 😁

No more copying & pasting code into ChatGPT to ask questions about it! I've created a VS Code extension that lets you select multiple files to include in ChatGPT / GPT-4 context so you'll never have to context switch from your editor. Next step: it'll edit the code for you 😁

YK aka CS Dojo 📺🐦

243,845 views • 3 years ago

"We're going to find a way. Every single time we step on this court." 4 DOUBLE-DIGIT COMEBACK WINS IN THE NBA FINALS FOR JALEN BRUNSON AND THE KNICKS 🏆

"We're going to find a way. Every single time we step on this court." 4 DOUBLE-DIGIT COMEBACK WINS IN THE NBA FINALS FOR JALEN BRUNSON AND THE KNICKS 🏆

NBA

171,491 views • 1 month ago

You can now pin up to two tokens to the top of your account so the balances you care about are always visible. We got a lot of requests for this feature, so we built it. A simple way to personalize your OpenSea and shape what shows up for you. Here's how to do it 👇

You can now pin up to two tokens to the top of your account so the balances you care about are always visible. We got a lot of requests for this feature, so we built it. A simple way to personalize your OpenSea and shape what shows up for you. Here's how to do it 👇

OpenSea

76,988 views • 5 months ago

World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.

World Models are the path for some AI Models in the future. But how can we efficiently train these models to not only see the world the way humans do but to see the world in a new and unique way. By visualizing, what is normally sequenced audio patterns, we can derive much more insights. Here we see Paganini in a visual form that can than be described and transcribed into a World Model. We can observe connections in a manner that may not have been clear prior to the digitalization of music and sound in this way. The company with the most valuable potential in building a World Model is Tesla. Not that this type of visualization is being used, but that the mechanisms are in place, and the technology is in place for the company to thrive in this new form of AI.

Brian Roemmele

57,424 views • 8 months ago

Douglas Alexander, "During the Rwanda scheme being in place, 84,000 people crossed the channel" "And for £700 million your Conservative government sent back 4 volunteers" "That is a lesson to be learnt on how not to do it" #BBCQT

Douglas Alexander, "During the Rwanda scheme being in place, 84,000 people crossed the channel" "And for £700 million your Conservative government sent back 4 volunteers" "That is a lesson to be learnt on how not to do it" #BBCQT

Farrukh

119,006 views • 10 months ago

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

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

725,764 views • 17 days ago

Today, we are open sourcing the KittyCAD Modeling App (KCMA) a hybrid CAD modeling app that combines traditional point-and-click and code modeling. This is an alpha release and we would love for you to try it out and give us feedback!

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Zoo

158,487 views • 2 years ago

We (Claude and I) made a new package: voxmlx It's an MLX implementation of Mistral's Voxtral mini realtime speech recognition model. It supports streaming audio and runs pretty fast on a laptop. To use it, simply: `uvx voxmlx` Also I did not write a single line of code for this package. Every line of code was written by Claude Code. More on that in thread.

We (Claude and I) made a new package: voxmlx It's an MLX implementation of Mistral's Voxtral mini realtime speech recognition model. It supports streaming audio and runs pretty fast on a laptop. To use it, simply: `uvx voxmlx` Also I did not write a single line of code for this package. Every line of code was written by Claude Code. More on that in thread.

Awni Hannun

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Exa

199,762 views • 3 months ago

Each high school across the US needs a Gym Teacher that has this ethos. I had a former marine in New Jersey and every student got top 1% in the presidential physical fitness award. Every student. We cheered each other on. But he did it all first and showed us how.

Each high school across the US needs a Gym Teacher that has this ethos. I had a former marine in New Jersey and every student got top 1% in the presidential physical fitness award. Every student. We cheered each other on. But he did it all first and showed us how.

Brian Roemmele

76,954 views • 1 year ago

Idea → stunning game in minutes with GPT Image 2.0. Full pipeline for a human companion vs transformer scene: 1. GPT Image 2.0 -- character + scene concepts 2. Grok Imagine -- turn stills into video mockups or cutscenes 3. fal + MeshyAI -- generate the 3D assets 4. Rosebud -- port in as cutscenes or playable characters and vibe code the game Character design and game scene ideation is fundamentally different now. Reply for Rosebud credits to try implement this yourself. Full prompts for character sheets below 👇🎮

Idea → stunning game in minutes with GPT Image 2.0. Full pipeline for a human companion vs transformer scene: 1. GPT Image 2.0 -- character + scene concepts 2. Grok Imagine -- turn stills into video mockups or cutscenes 3. fal + MeshyAI -- generate the 3D assets 4. Rosebud -- port in as cutscenes or playable characters and vibe code the game Character design and game scene ideation is fundamentally different now. Reply for Rosebud credits to try implement this yourself. Full prompts for character sheets below 👇🎮

Rosebud AI

40,617 views • 2 months ago