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OpenAI CRO, Mark Chen: GPT-5 is being trained with synthetic data -- text generated by models, not humans this expands coverage in key areas where GPT-5 is designed to perform well

Haider.

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125,298 views • 1 year ago •via X (Twitter)

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OpenAI Chief Research Officer, Mark Chen "We've found a new paradigm through Reasoning, which we're also scaling" - GPT-5 could be a significant advancement because we're scaling models not just through unsupervised learning (like with GPT-4.5), but also through a new "reasoning paradigm" - GPT-5 maybe a combination of these approaches

OpenAI Chief Research Officer, Mark Chen "We've found a new paradigm through Reasoning, which we're also scaling" - GPT-5 could be a significant advancement because we're scaling models not just through unsupervised learning (like with GPT-4.5), but also through a new "reasoning paradigm" - GPT-5 maybe a combination of these approaches

Haider.

153,382 views • 1 year ago

Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.

Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.

Peter Gostev

101,848 views • 10 months ago

This is what I created in 5 minutes: Everything is created in CapCut and ChatGPT. Script with CapCut GPT and editing with CapCut. And also the voiceover. The voiceover will be automatically add to the video generated by CapCut GPT.

This is what I created in 5 minutes: Everything is created in CapCut and ChatGPT. Script with CapCut GPT and editing with CapCut. And also the voiceover. The voiceover will be automatically add to the video generated by CapCut GPT.

Ihtesham Haider

36,719 views • 1 year ago

Starting today, Azure AI Foundry is rolling out new multimodal models from OpenAI: GPT-Image-1-mini, GPT-realtime-mini, and GPT-audio-mini, plus major GPT-5 upgrades (including GPT-5-Pro). This joins the Microsoft Agent Framework, enabling customers to build agents across multiple modes in one secure integrated ecosystem. 🔗 Learn more:

Starting today, Azure AI Foundry is rolling out new multimodal models from OpenAI: GPT-Image-1-mini, GPT-realtime-mini, and GPT-audio-mini, plus major GPT-5 upgrades (including GPT-5-Pro). This joins the Microsoft Agent Framework, enabling customers to build agents across multiple modes in one secure integrated ecosystem. 🔗 Learn more:

Microsoft Azure

79,216 views • 10 months ago

How does GPT-5 become GPT-6? Everything on the internet was already trained on a year, year and a half ago. New data is being added but it's marginal and a lot of it is AI slop. There is interesting private data (like JP Morgan's data) but nobody is opening that up. You don't go from GPT-5 to GPT-6 in isolation because that's not how learning works. Every learning that has ever occurred comes from having information to learn. You can't learn no information. cc Ground Zero / pod with Curtis from Handshake AI.

How does GPT-5 become GPT-6? Everything on the internet was already trained on a year, year and a half ago. New data is being added but it's marginal and a lot of it is AI slop. There is interesting private data (like JP Morgan's data) but nobody is opening that up. You don't go from GPT-5 to GPT-6 in isolation because that's not how learning works. Every learning that has ever occurred comes from having information to learn. You can't learn no information. cc Ground Zero / pod with Curtis from Handshake AI.

himanshu

10,684 views • 2 months ago

BREAKING: ChatGPT GPT-4o was just announce by OpenAI. It improves on vision, audio and text. The ease of use is incredibly enhanced. It makes interaction with the GPT much more natural, especially with voice. GPT-4o reasons across voice, text and vision. GPT-4 wil be available to everyone.

BREAKING: ChatGPT GPT-4o was just announce by OpenAI. It improves on vision, audio and text. The ease of use is incredibly enhanced. It makes interaction with the GPT much more natural, especially with voice. GPT-4o reasons across voice, text and vision. GPT-4 wil be available to everyone.

Ed Krassenstein

21,605 views • 2 years ago

if Horizon Alpha is GPT-5, then OpenAI is ready to launch. hey Theo - t3.gg, you need to see this.

if Horizon Alpha is GPT-5, then OpenAI is ready to launch. hey Theo - t3.gg, you need to see this.

Adam

352,793 views • 1 year ago

Fable 5 is coming back! (not official, but all signs point to 'SOON'') Sakana AI released "Fugu" and it's REALLY good on Andrej Karpathy's AutoResearch (better than GPT-5.5 and Opus 4.8) also, Sam Altman unveils "Jalapeno", the AI inference chip designed in part by... openAI models:

Fable 5 is coming back! (not official, but all signs point to 'SOON'') Sakana AI released "Fugu" and it's REALLY good on Andrej Karpathy's AutoResearch (better than GPT-5.5 and Opus 4.8) also, Sam Altman unveils "Jalapeno", the AI inference chip designed in part by... openAI models:

Wes Roth

11,712 views • 1 month ago

Dylan Patel says GPT-5 is not a bigger model and did not gain intelligence through scale but through optimization. He highlights how OpenAI improved efficiency by cutting down wasted tokens compared to earlier o-series models. He adds that GPT-5’s new router system decides whether to use the base model, mini, or thinking, leading to faster and more efficient results. He points out that o3 could think for around 30 seconds, while GPT-5 only thinks for 5–10 seconds, meaning less compute is used per query.

Dylan Patel says GPT-5 is not a bigger model and did not gain intelligence through scale but through optimization. He highlights how OpenAI improved efficiency by cutting down wasted tokens compared to earlier o-series models. He adds that GPT-5’s new router system decides whether to use the base model, mini, or thinking, leading to faster and more efficient results. He points out that o3 could think for around 30 seconds, while GPT-5 only thinks for 5–10 seconds, meaning less compute is used per query.

Wes Roth

87,396 views • 11 months ago

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks is excited to partner with OpenAI on GPT-5.5, their latest frontier model. GPT-5.5 will be available in Unity AI Gateway on launch. You can use it with coding tools such as Codex, or to power your enterprise agents. GPT-5.5 is state-of-the-art on many benchmarks including OfficeQA Pro, our benchmark for evaluating grounded reasoning on enterprise tasks. We are partnering with OpenAI to co-launch on Databricks. Hear more from our co-founder Patrick Wendell and OpenAI CRO Denise Holland Dresser on GPT-5.5 in Databricks.

Databricks

12,707 views • 3 months ago

Sam Altman says the next big thrust is making models handle much longer tasks We have already moved from models handling 5-second coding tasks with GPT-3.5 to 5-hour tasks with GPT-5 The goal now is to integrate enterprise context so AI can handle tasks that require months or years

Sam Altman says the next big thrust is making models handle much longer tasks We have already moved from models handling 5-second coding tasks with GPT-3.5 to 5-hour tasks with GPT-5 The goal now is to integrate enterprise context so AI can handle tasks that require months or years

Haider.

122,717 views • 8 months ago

OpenAI CPO Kevin Weil says model confusion is a feature, not a bug. 4.1 codes better. 4o chats better. “We're trying to build new capabilities rapidly.. and co-evolve with society.” GPT-5 is where it all starts to converge.

OpenAI CPO Kevin Weil says model confusion is a feature, not a bug. 4.1 codes better. 4o chats better. “We're trying to build new capabilities rapidly.. and co-evolve with society.” GPT-5 is where it all starts to converge.

vitrupo

85,987 views • 1 year ago

OpenAI Brad Lightcap says model training cycles are collapsing, driving rapid jumps from GPT-5.1 to 5.4 GPT-5.4 is days old and already doing a $1B run rate revenue, processing 5 trillion tokens daily "by year's end, we'll laugh at today's models. they'll seem pedestrian"

OpenAI Brad Lightcap says model training cycles are collapsing, driving rapid jumps from GPT-5.1 to 5.4 GPT-5.4 is days old and already doing a $1B run rate revenue, processing 5 trillion tokens daily "by year's end, we'll laugh at today's models. they'll seem pedestrian"

Haider.

54,657 views • 4 months ago

🚨 BREAKING: OpenAI just launched ChatGPT Agent. ChatGPT just became an ‘independent computer’ with this. This is not GPT-5, but this is very close. Here’s why this is the beginning of a new era of AI: ⤵️

🚨 BREAKING: OpenAI just launched ChatGPT Agent. ChatGPT just became an ‘independent computer’ with this. This is not GPT-5, but this is very close. Here’s why this is the beginning of a new era of AI: ⤵️

Mushfiq Sajib

24,422 views • 1 year ago

GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua

GPT-5.6 vs GPT-5.5 on my custom spaceship prompt. I gave both models the exact same custom prompt. This is also the same prompt I previously gave to Fable 5. For context, GPT-5.6 Pro worked for 87 minutes, while GPT-5.5 Extra High worked for 34 minutes and 42 seconds. As I’ve said before, based on great authority GPT-5.6 will be an incremental/soldi improvement over GPT-5.5, not a “Fable killer.” My rough expectation has been that it would trade blows with Fable 5 on some benchmarks, maybe win around half depending on the category, but not clearly surpass it overall. And again fable five will have bigger model smell, but this was expected. After testing this coding output, that view feels pretty accurate. GPT-5.6 is clearly better than GPT-5.5 in several visual areas. The lighting, shading, chairs, object details, and exterior of the spaceship looked noticeably stronger. The scene was also easier to test. I do want to give GPT-5.5 credit though. It built out the rooms much much better and the planets looked better than GPT-5.6’s. It was also interesting that both GPT-5.5 and GPT-5.6 produced better-looking planets than Fable 5 in this specific test. The downside with GPT-5.5 was stability. The game was much glitchier and harder to test compared to GPT-5.6. But when it comes to the core of the demo, which is the spaceship itself, Fable 5 still beat both models pretty comfortably. GPT-5.6 is impressive, but from this test, it looks exactly like what I expected which was a meaningful incremental improvement over GPT-5.5, at least for indie game demos, but not something that replaces Fable 5. In collaboration with Chetaslua

Chris

250,405 views • 1 month ago

"Civilization is the only example of super intelligence." Our CEO @davidpstout on Startup Project explaining why we're building millions of specialized models across devices — not one giant model in the cloud. A few highlights: – Why prompting loses money – 8B models matching GPT-3.5 – How we beat GPT-5 by 15% on real data Listen to the full episode below 👇

"Civilization is the only example of super intelligence." Our CEO @davidpstout on Startup Project explaining why we're building millions of specialized models across devices — not one giant model in the cloud. A few highlights: – Why prompting loses money – 8B models matching GPT-3.5 – How we beat GPT-5 by 15% on real data Listen to the full episode below 👇

webAI

325,138 views • 9 months ago

GPT-5 is 25x cheaper than GPT-4 at launch It raced to billions of tokens/minute within 2 hours of launch I talked to OpenAI's Olivier Godement about: • GPT-5, gpt-oss, and OpenAI's release strategy • How open-source models solve the enterprise puzzle • The fastest tech adoption in recent memory Check out our full conversation below:

GPT-5 is 25x cheaper than GPT-4 at launch It raced to billions of tokens/minute within 2 hours of launch I talked to OpenAI's Olivier Godement about: • GPT-5, gpt-oss, and OpenAI's release strategy • How open-source models solve the enterprise puzzle • The fastest tech adoption in recent memory Check out our full conversation below:

Zain Kahn

438,660 views • 11 months ago

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️

Arena.ai

246,337 views • 7 months ago

🚨GPT 5: Information informant reporter, Stephanie Palazzolo: GPT 5 is a step up in - creative writing -hard sciences - general knowledge But mentions the biggest improvement that was noticed was in coding, then going onto imply that cursor may switch to OpenAI 👀

🚨GPT 5: Information informant reporter, Stephanie Palazzolo: GPT 5 is a step up in - creative writing -hard sciences - general knowledge But mentions the biggest improvement that was noticed was in coding, then going onto imply that cursor may switch to OpenAI 👀

Chris

69,249 views • 1 year ago

I compared Claude Fable 5 to GPT-5.5 in this Power Rangers prompt Thing is, Fable 5 is using Low thinking effort and GPT-5.5 is using xhigh Safe to say, the results are... not even close. 5.5's output is bad across the board, from the UI to the actual voxel scene itself🥲 1st video: Claude Fable 5 (Low effort) 2nd video: GPT-5.5 (xhigh)

I compared Claude Fable 5 to GPT-5.5 in this Power Rangers prompt Thing is, Fable 5 is using Low thinking effort and GPT-5.5 is using xhigh Safe to say, the results are... not even close. 5.5's output is bad across the board, from the UI to the actual voxel scene itself🥲 1st video: Claude Fable 5 (Low effort) 2nd video: GPT-5.5 (xhigh)

Lentils

207,409 views • 1 month ago