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Most people don't know this, but OpenAI regularly publishes prompting guides for their latest GPT models. They did it again with GPT-5.6, and it's a game-changer. Follow this advice, and GPT-5.6 becomes 10x more efficient. I translated the entire playbook:

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Miles Deutscher

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204,923 просмотров • 1 месяц назад •via X (Twitter)

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i just created an entire video with gpt-5.6 sol for site every scene, camera angle, animation - is a line of code in react zero traditional editing. gpt-5.6 and @remotion are legendary
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i just created an entire video with gpt-5.6 sol for site every scene, camera angle, animation - is a line of code in react zero traditional editing. gpt-5.6 and @remotion are legendary

Suhail Kakar

26,726 просмотров • 15 дней назад

I gave the same prompt to Kimi K3 Max and GPT 5.6 SOL Ultra to create a 3D castle GPT 5.6 SOL Ultra is clearly better here, but I am also really impressed with the Kimi K3 as well Anthropic gotta reset the limits again lol
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I gave the same prompt to Kimi K3 Max and GPT 5.6 SOL Ultra to create a 3D castle GPT 5.6 SOL Ultra is clearly better here, but I am also really impressed with the Kimi K3 as well Anthropic gotta reset the limits again lol

fardeen

35,594 просмотров • 1 месяц назад

GPT-5.6 Sol is seriously impressive. I used it to create the prompt for this Peking Opera video. It did a great job capturing the cultural elements and visual language. Prompt below ⤵️
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GPT-5.6 Sol is seriously impressive. I used it to create the prompt for this Peking Opera video. It did a great job capturing the cultural elements and visual language. Prompt below ⤵️

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31,048 просмотров • 1 месяц назад

🚀 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 custom prompt for more tailored outputs. ⚖️ GPT-5 Chat Vs. GPT-4.1 to highlight improvements and trade-offs If you’ve been wondering what GPT-5 brings to Copilot Studio—this video is packed with real examples, practical tests, and insights to help you understand what these new experimental models have to offer. 🎥 Watch here: #CopilotStudio #GPT5 #AIBuilder #MicrosoftCopilot #LowCodeAI #OpenAI #AI #CopilotStudio #GPT5Auto #GPT5Reasoning #GPT5Chat
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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 custom prompt for more tailored outputs. ⚖️ GPT-5 Chat Vs. GPT-4.1 to highlight improvements and trade-offs If you’ve been wondering what GPT-5 brings to Copilot Studio—this video is packed with real examples, practical tests, and insights to help you understand what these new experimental models have to offer. 🎥 Watch here: #CopilotStudio #GPT5 #AIBuilder #MicrosoftCopilot #LowCodeAI #OpenAI #AI #CopilotStudio #GPT5Auto #GPT5Reasoning #GPT5Chat

Daniel Christian

14,705 просмотров • 1 год назад

I CANCELED CURSOR AND CLAUDE CODE THIS MONTH → freebuff does the same thing → gpt 5.6 luna and deepseek v4 flash for free → one command and it's installed what's weird is how long it takes to actually feel "free".
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I CANCELED CURSOR AND CLAUDE CODE THIS MONTH → freebuff does the same thing → gpt 5.6 luna and deepseek v4 flash for free → one command and it's installed what's weird is how long it takes to actually feel "free".

liam.

30,321 просмотров • 22 часов назад

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.
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Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

atomic.chat

70,490 просмотров • 1 месяц назад

Here's a follow-up, this time with a more ambitious building (+animation, yes!) and with GPT-5.6 Sol (High), in the same thread. The prompt: "Use the ImageGen skill to generate a low-poly 3D mining rig, then use img2threejs to build it. Allow me to animate it with a button."
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Here's a follow-up, this time with a more ambitious building (+animation, yes!) and with GPT-5.6 Sol (High), in the same thread. The prompt: "Use the ImageGen skill to generate a low-poly 3D mining rig, then use img2threejs to build it. Allow me to animate it with a button."

Nicolas Zullo

127,137 просмотров • 12 дней назад

gpt 5.6 + seedance 2.0 is a f*cking cheat code swapped fable out of my ugc system for it and the whole thing runs 10x cheaper and faster now proof: one of these girls is a real creator. the other is the ai rebuild. same script, same visual hooks you won't clock the fake inside the system im running: - the character ref prompts (named imperfections stack) - the video prompts + the anti ai negatives - the one line fix every gpt 5.6 script needs - the full rebuild workflow reply LEFT or RIGHT and i'll dm you the answer + the full prompting system (follow so i have dm access)
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gpt 5.6 + seedance 2.0 is a f*cking cheat code swapped fable out of my ugc system for it and the whole thing runs 10x cheaper and faster now proof: one of these girls is a real creator. the other is the ai rebuild. same script, same visual hooks you won't clock the fake inside the system im running: - the character ref prompts (named imperfections stack) - the video prompts + the anti ai negatives - the one line fix every gpt 5.6 script needs - the full rebuild workflow reply LEFT or RIGHT and i'll dm you the answer + the full prompting system (follow so i have dm access)

zero

158,512 просмотров • 1 месяц назад

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.)
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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

513,525 просмотров • 1 месяц назад

#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 просмотров • 5 месяцев назад

we've eval-ing K3 and we were legit shocked K3 is incredibly good at HyperFrames , winning over GPT-5.6 and Fable 5 at a few of our benchmarks it recreated motion graphics from leo with minimal prompting (i didn't further tune the animations to show raw output)
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we've eval-ing K3 and we were legit shocked K3 is incredibly good at HyperFrames , winning over GPT-5.6 and Fable 5 at a few of our benchmarks it recreated motion graphics from leo with minimal prompting (i didn't further tune the animations to show raw output)

Bin Liu

228,119 просмотров • 24 дней назад

Happy GPT 5.6 day! We dream of fighting disease with this kind of intelligence. In that spirit, here is a first preview of Cell Cinema, the future cell token for AI models. And a first for humanity: we recorded ferroptosis label-free, in real-time. A huge feat for biosciences.
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Happy GPT 5.6 day! We dream of fighting disease with this kind of intelligence. In that spirit, here is a first preview of Cell Cinema, the future cell token for AI models. And a first for humanity: we recorded ferroptosis label-free, in real-time. A huge feat for biosciences.

Precigenetics

287,216 просмотров • 1 месяц назад

AI can generate beautiful game worlds now. But a world is not a game. I tested Kimi K3 in Verdent against GPT-5.6 using the exact same prompt. One created a scene. K3 added real enemies, working combat, and something I could actually play. Watch the difference 🧵
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AI can generate beautiful game worlds now. But a world is not a game. I tested Kimi K3 in Verdent against GPT-5.6 using the exact same prompt. One created a scene. K3 added real enemies, working combat, and something I could actually play. Watch the difference 🧵

Darshal Jaitwar

80,428 просмотров • 17 дней назад

Qwen 3.8 Max is actually impressive Sent a sky pic to it along with Claude Opus 5, Kimi K3, and GPT 5.6 Sol, and asked them to draw an animal silhouette based on the cloud shape Qwen 3.8 Max is honestly on par with all the other models
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Qwen 3.8 Max is actually impressive Sent a sky pic to it along with Claude Opus 5, Kimi K3, and GPT 5.6 Sol, and asked them to draw an animal silhouette based on the cloud shape Qwen 3.8 Max is honestly on par with all the other models

Ann Nguyen

464,973 просмотров • 13 дней назад

AI video is waaaaay better than most people realize. I came with this stupid idea for a terrible PS1 game with hideous textures and a jumping catfish... 30 minutes later, I had this. It's almost exactly what I had in my head. Between Nano Banana, GPT Image 2 and Seedance 2 you can pretty much create anything you can think of, with more granular control than people realize. It's not perfect but it's VERY good and I'm really excited to see the wild shit that new creators do with it!
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AI video is waaaaay better than most people realize. I came with this stupid idea for a terrible PS1 game with hideous textures and a jumping catfish... 30 minutes later, I had this. It's almost exactly what I had in my head. Between Nano Banana, GPT Image 2 and Seedance 2 you can pretty much create anything you can think of, with more granular control than people realize. It's not perfect but it's VERY good and I'm really excited to see the wild shit that new creators do with it!

Finn McKenty

10,979 просмотров • 3 месяцев назад

Very excited to host our second OpenAI Office Hours tomorrow! Join Katia Gil Guzman and me for a fast-paced tour of everything we’ve shipped across GPT-5.6, ChatGPT, and Codex We'll follow up by a live Q&A on your biggest questions and feedback See you tomorrow at 11AM BST. Webinar link in the comments
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Very excited to host our second OpenAI Office Hours tomorrow! Join Katia Gil Guzman and me for a fast-paced tour of everything we’ve shipped across GPT-5.6, ChatGPT, and Codex We'll follow up by a live Q&A on your biggest questions and feedback See you tomorrow at 11AM BST. Webinar link in the comments

Vaibhav (VB) Srivastav

62,823 просмотров • 1 месяц назад

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

91,109 просмотров • 1 месяц назад

Opus 4.6 vs GPT 5.4 (High) (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. For the initial impressions I'm really impressed by GPT, for speed they both felt about the same, but gpt was still half cheaper than opus. I also much prefer the design and animation that gpt produced, physics on the leaves are super cool and it also loops pretty nicely whilst opus just fades out the plant. Still got a bunch of tests to run but this is really exciting.
0:10

Opus 4.6 vs GPT 5.4 (High) (1/9) prompt: Build a single-file HTML/CSS/JS (no libs) demo that uses SVG to simulate a plant growing: stem extends, leaves sprout + unfurl with springy/windy “physics”, then seamlessly loops forever. For the initial impressions I'm really impressed by GPT, for speed they both felt about the same, but gpt was still half cheaper than opus. I also much prefer the design and animation that gpt produced, physics on the leaves are super cool and it also loops pretty nicely whilst opus just fades out the plant. Still got a bunch of tests to run but this is really exciting.

Dev Ed

660,154 просмотров • 5 месяцев назад

GPT-5.5 by Reasoning Effort: I've asked it in Codex to create a physics-based visualisation of RL cycles for different sized models (70b, 1t, 10t), to demonstrate how the amount of RL you can do differs by model size. My assessment of each: - Low: weird slop - Medium: kinda cooked - High: sort of tried but ultimately incoherent - Extra High: elite - really nice idea and well executed Obviously this is just one shot, but worth trying different reasoning levels for the new models, medium seems to be pretty good for GPT-5.5 and it was really bad for many previous GPT models.
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GPT-5.5 by Reasoning Effort: I've asked it in Codex to create a physics-based visualisation of RL cycles for different sized models (70b, 1t, 10t), to demonstrate how the amount of RL you can do differs by model size. My assessment of each: - Low: weird slop - Medium: kinda cooked - High: sort of tried but ultimately incoherent - Extra High: elite - really nice idea and well executed Obviously this is just one shot, but worth trying different reasoning levels for the new models, medium seems to be pretty good for GPT-5.5 and it was really bad for many previous GPT models.

Peter Gostev (SF: 22-26 June)

209,258 просмотров • 3 месяцев назад

GPT Image 2 + Seedance 2 is an insane combo the fact that you can get really high detail and animate it is so satisfying people will kill me for this take, but this is the future of game development
0:10

GPT Image 2 + Seedance 2 is an insane combo the fact that you can get really high detail and animate it is so satisfying people will kill me for this take, but this is the future of game development

INK

116,809 просмотров • 3 месяцев назад