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✨ GPT-5.3-Codex-Spark

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Andrew Ambrosino

50,410 subscribers

29,524 次观看 • 8 个月前 •via X (Twitter)

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17 条评论

Karolis 的头像
Karolis8 个月前

also great for making your desktop nice

Andrew Ambrosino 的头像
Andrew Ambrosino8 个月前

we need a design influencer to explain concentric corners though

Marmotize 的头像
Marmotize8 个月前

how do you pop up the chat like that?

Andrew Ambrosino 的头像
Andrew Ambrosino8 个月前

coming v soon!

Marmotize 的头像
Marmotize8 个月前

Ohhh. Any chance we might get some of those as well 😍

Andri Heeb 的头像
Andri Heeb8 个月前

I'm on pro and dont have it yet, come oonnnn

Naveed Ahmed 的头像
Naveed Ahmed8 个月前

Any update on Windows app?

Conan Reis 🇨🇦 的头像
Conan Reis 🇨🇦8 个月前

Awesome! Congrats. Will Pro users be able to toggle to Codex-Spark in the Windows VS Code Extension? 😁

Emanuele Di Pietro 的头像
Emanuele Di Pietro8 个月前

how the fuck did you open that small codex window

shahab 的头像
shahab8 个月前

isn't Spark actually worse than the normal version? I prefer waiting for a better result?

Mohammed Bin Khamis 的头像
Mohammed Bin Khamis8 个月前

We got to talk about naming schemes

lena p 的头像
lena p8 个月前

do you lose reasoning power when using spark vs, say, 5.3 codex xhigh?

Diego | AI 🚀 - e/acc 的头像
Diego | AI 🚀 - e/acc8 个月前

Nice option to have the codex app as little window like the ChatGPT app. Is that in the latest update already? I need that

Siddhant Gupta 的头像
Siddhant Gupta8 个月前

andrew plssss app for windows. I dont like the bland cli anymore

Westin 的头像
Westin8 个月前

But what about the routing bug…

dmitry 的头像
dmitry8 个月前

The word “spark” doesn’t sound strong, feels like it’s “under” the main thing, not above. That was my first impression.

Wiesław Šoltés 的头像
Wiesław Šoltés8 个月前

When in codex app for Pro users ?

相关视频

The model is faster, the pelican isn't as good! GPT-5.3 Codex Spark on the left, GPT-5.3 Codex 5.3 on the right - both at medium quality settings
0:08

The model is faster, the pelican isn't as good! GPT-5.3 Codex Spark on the left, GPT-5.3 Codex 5.3 on the right - both at medium quality settings

Simon Willison

57,440 次观看 • 8 个月前

You can build a coding agent in 20 seconds with gpt-5.3-codex-spark
0:36

You can build a coding agent in 20 seconds with gpt-5.3-codex-spark

Nick

33,109 次观看 • 8 个月前

GPT-5.3-Codex-Spark is now in research preview. You can just build things—faster.
0:47

GPT-5.3-Codex-Spark is now in research preview. You can just build things—faster.

OpenAI

1,531,300 次观看 • 8 个月前

Introducing GPT-5.3-Codex-Spark, our ultra-fast model purpose built for real-time coding. We’re rolling it out as a research preview for ChatGPT Pro users in the Codex app, Codex CLI, and IDE extension.
0:55

Introducing GPT-5.3-Codex-Spark, our ultra-fast model purpose built for real-time coding. We’re rolling it out as a research preview for ChatGPT Pro users in the Codex app, Codex CLI, and IDE extension.

OpenAI Developers

825,797 次观看 • 8 个月前

> "Hey GPT-5.3-Codex, build a girlfriend simulator." 2 hours later:
0:50

> "Hey GPT-5.3-Codex, build a girlfriend simulator." 2 hours later:

cocktail peanut

24,835 次观看 • 8 个月前

Firecrawl Skill, now in GPT-5.3 Codex 🔥 Give Codex clean, real-time web data for your coding workflows.
0:35

Firecrawl Skill, now in GPT-5.3 Codex 🔥 Give Codex clean, real-time web data for your coding workflows.

Firecrawl

14,021 次观看 • 8 个月前

It’s time for another Counter-Strike benchmark: GPT 5.3 Codex and Claude 4.6 Opus:
0:39

It’s time for another Counter-Strike benchmark: GPT 5.3 Codex and Claude 4.6 Opus:

Instant

18,967 次观看 • 8 个月前

what can you build with gpt-5.3-codex-spark? jason liu from OpenAI demos 3 real workflows — ones you can set up yourself inside the Codex app to help you spend less time on overhead and more time building. 00:09 – what is gpt-5.3-codex-spark? 00:25 – workflow 1: multi-agent daily briefing from slack, drive & meets 01:06 – workflow 2: automated PR review 01:31 – workflow 3: real-time interactive coding 02:56 – what speed changes, and what's coming next
3:45

what can you build with gpt-5.3-codex-spark? jason liu from OpenAI demos 3 real workflows — ones you can set up yourself inside the Codex app to help you spend less time on overhead and more time building. 00:09 – what is gpt-5.3-codex-spark? 00:25 – workflow 1: multi-agent daily briefing from slack, drive & meets 01:06 – workflow 2: automated PR review 01:31 – workflow 3: real-time interactive coding 02:56 – what speed changes, and what's coming next

Cerebras

23,633 次观看 • 7 个月前

Okay this is DEEPLY concerning All my GPT 5.3 Codex requests are routing to GPT 5.2 I ran banteg script through all Codex models and ONLY 5.3 Codex was affected This is really really unacceptable, how can I trust the work done? cc: Tibo / Alexander Embiricos / Romain Huet
0:21

Okay this is DEEPLY concerning All my GPT 5.3 Codex requests are routing to GPT 5.2 I ran banteg script through all Codex models and ONLY 5.3 Codex was affected This is really really unacceptable, how can I trust the work done? cc: Tibo / Alexander Embiricos / Romain Huet

Numman Ali

262,507 次观看 • 8 个月前

Free GPT-5.3-Codex in Orchids! One of the best coding models in the world right now. > Connect your ChatGPT subscription. > Select GPT-5.3-Codex. > Done, no Orchids credits will be consumed. The best way to build any app at orchids [dot] app.
0:37

Free GPT-5.3-Codex in Orchids! One of the best coding models in the world right now. > Connect your ChatGPT subscription. > Select GPT-5.3-Codex. > Done, no Orchids credits will be consumed. The best way to build any app at orchids [dot] app.

Bud

24,323 次观看 • 8 个月前

I have been using GPT-5.3-Codex-Spark all day every day for 2 weeks now. It's incredibly fast (Cerebras) I had a few moments where I felt I could see the future. So far I've tried it in: - Zed - Openclaw - Codex app - Codex cli / pi This is a clue to where we're heading.
0:52

I have been using GPT-5.3-Codex-Spark all day every day for 2 weeks now. It's incredibly fast (Cerebras) I had a few moments where I felt I could see the future. So far I've tried it in: - Zed - Openclaw - Codex app - Codex cli / pi This is a clue to where we're heading.

0xSero

22,212 次观看 • 8 个月前

Claude Sonnet 4.6 vs GPT 5.3 Codex Same Prompt in Cursor (Neutral Harness) - Default Settings! GPT 5.3 Codex took - 2 mins Claude Sonnet 4.6 - 7 mins Cheaper than Sonnet 4.6! Faster than Sonnet 4.6! But I'm not sure if it's more craftier than Sonnet 4.6 because Sonnet's got a taste! Claude Sonnet 4.6 had a better result (aesthetically) and also more solid techstack - GPT 5.3 codes meanwhile just got the job done!
0:36

Claude Sonnet 4.6 vs GPT 5.3 Codex Same Prompt in Cursor (Neutral Harness) - Default Settings! GPT 5.3 Codex took - 2 mins Claude Sonnet 4.6 - 7 mins Cheaper than Sonnet 4.6! Faster than Sonnet 4.6! But I'm not sure if it's more craftier than Sonnet 4.6 because Sonnet's got a taste! Claude Sonnet 4.6 had a better result (aesthetically) and also more solid techstack - GPT 5.3 codes meanwhile just got the job done!

1LittleCoder💻

142,933 次观看 • 8 个月前

OpenAI took the best Coding model in the world GPT-5.3 Codex And turned it into a powerful coding app It's called Codex, but most people have no idea what you can build with it.
1:28:16

OpenAI took the best Coding model in the world GPT-5.3 Codex And turned it into a powerful coding app It's called Codex, but most people have no idea what you can build with it.

David Ondrej

24,923 次观看 • 8 个月前

Claude Opus 4.6 vs GPT-5.3 Codex aren't just different models. They're different engineers. Opus 4.6: → 1M token context window → Reads the whole codebase before deciding → Asks "should we do this?" → Failure mode: overanalyzes, hesitates GPT-5.3 Codex: → 200K tokens, built for speed → Decides fast, acts, iterates → Asks "how fast can I ship this?" → Failure mode: locks in a flawed assumption early Think: Opus = your architect Codex = your operator Pick the one that matches the task.
3:53

Claude Opus 4.6 vs GPT-5.3 Codex aren't just different models. They're different engineers. Opus 4.6: → 1M token context window → Reads the whole codebase before deciding → Asks "should we do this?" → Failure mode: overanalyzes, hesitates GPT-5.3 Codex: → 200K tokens, built for speed → Decides fast, acts, iterates → Asks "how fast can I ship this?" → Failure mode: locks in a flawed assumption early Think: Opus = your architect Codex = your operator Pick the one that matches the task.

The Startup Ideas Podcast (SIP) 🧃

59,604 次观看 • 8 个月前

What's better than Claude Opus 4.6 or GPT 5.3 Codex? Running them all, in parallel, with a single GitHub Copilot subscription. And all of this shipped just this week.
0:29

What's better than Claude Opus 4.6 or GPT 5.3 Codex? Running them all, in parallel, with a single GitHub Copilot subscription. And all of this shipped just this week.

Martin Woodward

65,575 次观看 • 8 个月前

GPT-5.3-Codex made this game using Nano Banana Pro for the assets, all on its own I only told it to redo the assets because they were incorrectly sliced
0:24

GPT-5.3-Codex made this game using Nano Banana Pro for the assets, all on its own I only told it to redo the assets because they were incorrectly sliced

Angel 🌼

161,059 次观看 • 8 个月前

Opus 4.6 and Codex 5.3 still make stupid decisions
6:19

Opus 4.6 and Codex 5.3 still make stupid decisions

Mo

65,604 次观看 • 8 个月前

I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.
4:29

I just built an entire app in 7 minutes using Codex Spark. EveryMCP: a universal MCP server installer that configures 15+ coding agents from a single CLI command. 12 Codex Spark subagents. All running in parallel. At the same time. The project itself isn't complicated, but just imagine what this looks like when you scale the complexity. My setup: • Codex 5.3 High to plan • Codex 5.3 Medium to orchestrate • 12 Codex Spark agents (xhigh) to implement in one shot Spark isn't competing with the big models. It's a different tool entirely. You orchestrate it. You run it in swarms. And it moves at a speed that wasn't possible before, even for the top 1% of AI coders. More complex workflows coming soon. Comment below if you want me to tell you how I did it.

am.will

16,916 次观看 • 8 个月前

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads
36:41

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads

TBPN

639,180 次观看 • 8 个月前