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ChatGPT Pro inside Codex can fix problems that GPT-5.6 Sol Ultra struggles with, making it worth reaching for when you hit a wall with standard models. → Useful when Sol Ultra can't solve the problem → Works directly inside Codex without switching tools → Practical example: fixing issues in... show more

0xMarioNawfal

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i recreated this with GPT 5.6 Sol & it costed me ~$5 only & 2 prompts >GPT 5.6 Sol Ultra as the main agent, admin & orchestrator >GPT 5.6 Luna Max as sub-agents >used the Codex app >used about 20% of my weekly limit on $100 plan ($100/4 * 20%) some bugs, and improvements would take another prompt but pretty good for $5!

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Should we rebuild T3 Code in Swift? I have a Codex reset that expires tomorrow so I threw gpt-5.6-sol ultra at it. It did surprisingly well. Only took about 20% of my weekly limit!

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A soda-cans scroll animation using three.js with scroll animation. Completely built with Codex GPT 5.6 Sol Ultra in ~20mins. The textures are being generated by imagegen skill. Not polished version. This is crazy af Demo: Source:

A soda-cans scroll animation using three.js with scroll animation. Completely built with Codex GPT 5.6 Sol Ultra in ~20mins. The textures are being generated by imagegen skill. Not polished version. This is crazy af Demo: Source:

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GPT-5.6 Sol Ultra lost to GPT-5.5 on physics at 3× the cost! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: - A monster truck backflipping onto a parked car - A stunt car jumping six buses into a brick wall - A train derailing off a broken bridge into the water Outputs: GPT-5.6 Sol Ultra: 32.9K tokens, $0.33 Opus 4.8: 9.2K tokens, $0.24 GPT-5.5: 12.4K tokens, $0.11 Grok 4.5: 7.0K tokens, $0.08 Sol Ultra draws just like GPT-5.5, only with more detail and it shows clearest on the bus jump where the two look almost identical. In the other tests Sol Ultra came out worse than its predecessor and the physics really got weaker. We think GPT-5.5 took the truck flip and the train outright. With Sol Ultra you basically get GPT-5.5 with weaker physics and a nicer picture for 3x the price. Newborn Grok 4.5 failed two of the three tests and only came good on the train

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atomic.chat

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I had Codex Desktop and GPT-5.6 Sol Ultra take a go at building my Raccoon Heist game and it did an even better job than Claude Fable 5 did! Here's "Moonlight & Mayhem", now with a team of raccoons raiding a museum for the Golden Sardine

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Simon Willison

37,860 Aufrufe • vor 16 Tagen

The character pipeline is moving forward: animations are now working. I lost some time because Codex occasionally switched GPT-5.6 Sol back to Light/Medium by default, and the difference in task execution was immediately noticeable. After switching back to GPT-5.6 Sol Ultra, progress was much smoother. Using animations from Mixamo, the character can now idle, walk, run and jump. Next: shoes, skin variations and different body types. Then I need to decide what this project should become: • A character generator website? • A reusable Codex skill? • An open-source GitHub repo? What would be the most useful?

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Givros

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When GPT-5 came out, I created a procedural brutalist city builder as a demo (you can see it in the quoted tweet) I used GPT-5.6 Sol in Codex to do the same thing, touching no code. Less than a year... Play with it (its fun, if you like cities):

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Two frontier models. Two very different demos. (GPT-5.6 Sol and Claude Fable 5) GPT-5.6 Sol Ultra was pushed in a mathematical direction and generated a Minecraft-style clone in Lean. Yes, that Lean. Meanwhile, Claude Fable 5 took a game development route and built a Minecraft mod featuring a Dark Souls-inspired enemy with multiple attack patterns, combos, and combat logic. They're solving completely different problems, but both are great examples of how capable today's models have become. The pace of progress is remarkable.

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FHILY👑

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When you give GPT-5.6 Sol Ultra a project to work on, tell it to use its built-in TODO list functionality to manage things, and then leave it to its own devices for 3 days, you’re liable to come back and find a totally insane list like this, lmao:

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GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on The Startup Ideas Podcast (SIP) 🧃 (thanks Dan Shipper 📧 for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more The Startup Ideas Podcast (SIP) 🧃 Watch

GREG ISENBERG

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GPT-5.6 Sol has been used to solve open problems in mathematics. So why was it struggling with ARC-AGI-3, a benchmark of 2D puzzle games? We investigated. The harness was not letting it remember what it had learned. We found that enabling two API settings tripled our scores with 6x fewer output tokens.

GPT-5.6 Sol has been used to solve open problems in mathematics. So why was it struggling with ARC-AGI-3, a benchmark of 2D puzzle games? We investigated. The harness was not letting it remember what it had learned. We found that enabling two API settings tripled our scores with 6x fewer output tokens.

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Opus 5 is a modest upgrade, but it has tough competition in GPT-5.6 Sol Initial thoughts from our early access: > Clearer writing than Fable's dense communication style > Still gets too verbose compared to GPT models (even when explicitly instructed to keep text purposeful) > Strong on browser use inside Hyperagent > Strong on reviewing complex data to justify a decision > Less likely to take creative risks. More of a "rule follower" personality. Costs shown for five test cases (GPT-5.6 Sol was consistently much cheaper) Explore and judge the actual work for yourself in thread 👇

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Hyperagent

153,112 Aufrufe • vor 1 Monat

GPT-5.6 Sol one Shotted The Sims >this is without codex or any coding harness >one shot entire game with logic in 48 minutes roon Adam.GPT when we can have big model taste and personality ? like after GPT 5 its so robotic > Webdev needs real upgrade, I think this should not be hard enough as even cheap chinese ai companies are able to achieve this > Prompt following specifically any character it's so impossible to make ChatGPT follow rules and characters

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Chetaslua

10,190 Aufrufe • vor 1 Monat

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