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We’ve seen great results using GPT-4 for content policy development and content moderation, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators. Built on top of the GPT-4 API:

OpenAI

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902,348 次观看 • 2 年前 •via X (Twitter)

Anya Rossi• Live Now

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I built a Bing AI clone called Zing! Featuring functional GPT-4 and Bing API search integration. I didn't write a single line of code; I just asked, and GPT-4 did the rest 🤯😅 It took roughly 2 hours. Hosted on Replit ⠕

I built a Bing AI clone called Zing! Featuring functional GPT-4 and Bing API search integration. I didn't write a single line of code; I just asked, and GPT-4 did the rest 🤯😅 It took roughly 2 hours. Hosted on Replit ⠕

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🚨ChatGPT for Customer Service is Here🚨 Hot on the heels of the OpenAI GPT-4 launch, you'll be ꜱʜᴏᴄᴋᴇᴅ to hear that we have a new product release built entirely on GPT-4. This is perhaps Intercom's biggest new release in our history...

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Des Traynor

739,563 次观看 • 3 年前

GPT-5.1 is now live in Warp. It’s much faster (40% faster task completion on a subset of SWE-bench Verified) without compromising quality. GPT-5.1 is available to all Warp users, and is now the default model for all new users.

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80,681 次观看 • 8 个月前

If you’ve ever wondered how hard it is to create a great story, here’s the solution: SHORT FILM CUSTOM GPT will generate a ready-to-animate storyboard for you. Just upload your image and click generate—the results are fantastic. Using Seedance 2.0 and ChatGPT 2.0. Follow me on Patreon for more tips.

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Gumvue Studio

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GPT Image 2.0 is now available on Akool 🚀 This isn’t just an upgrade—it’s a major leap in AI image generation. With GPT Image 2.0, you get: • Sharper, high-resolution outputs with improved detail and realism • Much stronger text rendering (finally, text in images that actually looks right) • Better prompt understanding for more accurate and controllable results • Improved consistency across variations and multi-image generations • More precise editing & refinement for iterative creative workflows Whether you're creating marketing visuals, product images, or storytelling assets, GPT Image 2.0 delivers cleaner, more reliable, and production-ready results. Now live on Akool, try the latest in AI image generation today.

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Akool Inc

1,541,129 次观看 • 2 个月前

Stop juggling disconnected tools and random prompts. APOB AI brings everything into one seamless creation pipeline: AI Influencer Generator, GPT Image 2.0 (Chat to Generate & Chat to Edit), and Seedance 2.0 (Image to Video Ultra S). From creating consistent AI characters to refining images and generating cinematic videos, every step is built to keep your workflow smooth and your results consistent. Build high-quality AI influencers faster with more control, less friction, and at scale.

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UmarAi

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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 👇🧵

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Respell

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Pothole detection on the road in real time using Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AI

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WARFRAME

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Open your ChatGPT and hover your cursor over GPT-4. Select "Plugins" from the dropdown menu. Click on "No plugins added" and then "Plugin store." In the plugin store, look for a plugin called "Consensus." Install it.

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Mushtaq Bilal, PhD

21,930 次观看 • 2 年前

#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.

#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 次观看 • 4 个月前

Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.

Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.

GMI Cloud

75,785 次观看 • 1 个月前

Introducing Alpamayo 1.5. Based on community feedback, we’ve updated our 10B-parameter chain-of-thought reasoning VLA model to be a more interactive and steerable engine for autonomous vehicle development. Built on the Cosmos-Reason2 VLM backbone, this release adds support for navigation guidance and flexible camera configurations while providing new post-training scripts for model adaptation. 🤗 Learn more:

Introducing Alpamayo 1.5. Based on community feedback, we’ve updated our 10B-parameter chain-of-thought reasoning VLA model to be a more interactive and steerable engine for autonomous vehicle development. Built on the Cosmos-Reason2 VLM backbone, this release adds support for navigation guidance and flexible camera configurations while providing new post-training scripts for model adaptation. 🤗 Learn more:

NVIDIA DRIVE

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Haven't been to a conference in a while, really excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)

Haven't been to a conference in a while, really excited to be at #NeurIPS2024! I'll be helping present 4 of our group's recent papers: 1. Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL 2. Distributional Successor Features Enable Zero-Shot Policy Optimization 3. Learning to Cooperate with Humans using Generative Agents 4. Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Find more details on each paper and where to find us in this thread (1/6)

Abhishek Gupta

10,803 次观看 • 1 年前

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"

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 次观看 • 3 年前

【Preview: Implacable's Dynamic skin - Shepherd of the "Lost"】 Implacable's Dynamic skin, Shepherd of the "Lost", will be optimized for UI adapatation and return for a limited-time 4/17 - 4/23, 11:59 P.M. (UTC-7)! *Content is in development and may not reflect the final version. #AzurLane #Yostar

【Preview: Implacable's Dynamic skin - Shepherd of the "Lost"】 Implacable's Dynamic skin, Shepherd of the "Lost", will be optimized for UI adapatation and return for a limited-time 4/17 - 4/23, 11:59 P.M. (UTC-7)! *Content is in development and may not reflect the final version. #AzurLane #Yostar

Azur Lane Official

116,776 次观看 • 1 年前

Box Squats are one of the most effective Squat patterns for Athletes… 1. Enhanced Neural Drive 2. Faster Recovery 3. Greater Rate of Force Development 4. Consistent Range 5. Greater Stability Box Squat heavy and often!💪🏻📈

Box Squats are one of the most effective Squat patterns for Athletes… 1. Enhanced Neural Drive 2. Faster Recovery 3. Greater Rate of Force Development 4. Consistent Range 5. Greater Stability Box Squat heavy and often!💪🏻📈

Zac Goodman

19,538 次观看 • 3 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

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 • 1 个月前

GROK 4.20 DROPS SOON – EXPECT EVEN MORE SPEED, SKILL, AND SNARK The version number’s a wink – the upgrade is all business. System Check: * Built on 4.1’s super core, but sharper, faster, and way more creative * Aims to outthink GPT-5.1 and Gemini 3 Pro, no sweat * Better at multimodal inputs – yes, it sees what you post * API gains mean devs get more power with less drag Grok 4.20’s almost here – and it’s coming in hot! Source: Elon Musk

GROK 4.20 DROPS SOON – EXPECT EVEN MORE SPEED, SKILL, AND SNARK The version number’s a wink – the upgrade is all business. System Check: * Built on 4.1’s super core, but sharper, faster, and way more creative * Aims to outthink GPT-5.1 and Gemini 3 Pro, no sweat * Better at multimodal inputs – yes, it sees what you post * API gains mean devs get more power with less drag Grok 4.20’s almost here – and it’s coming in hot! Source: Elon Musk

Mario Nawfal

69,965 次观看 • 6 个月前

#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 次观看 • 4 个月前