Hey Jeff, I would love access! I want to test Gemini 1.5 Pro when it comes to long-context codebases.
@skirano
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Sora invites rollout begins for video generation
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When the Sora invites roll out pic.twitter.com/xrBcoaGaT4
— Pietro Schirano (@skirano) 18 février 2024When the Sora invites roll out
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Word Positioning in AI Prompts: Does Order Affect Generation?
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I am very curious about the prompt's word positioning related to the temporal effect. Like, if you mentioned the giant cat at the start, would we have seen that early in the scene?
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Physics Engine Advances Enable Scientific Simulation Applications
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So good! The physics engine looks really solid here. I am excited about the possibility of using this tech to simulate more scientifically specific scenarios. Would love an invite btw!
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AI Tool Performs Flawlessly for Coding Tasks Overnight
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It's REALLY good. I was using it for coding all night last night, and it didn't get one thing wrong.
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Mistral-Next LLM Drops: GPT-4 Level Coding Performance Achieved
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Ok, so… today is crazy. There's a mysterious Mistral-Next model that just dropped, and I am testing it for coding—it's GOOD. Possibly GPT-4 level. I even ran a few tests that I asked GPT to evaluate the outputs, and it gave Mistral-Next a perfect score.
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Prototype Resolution Scaling Techniques for AI Model Optimization
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Also, I believe there is an entire world of proto results leading to better outcomes that we haven't even started to explore, like when they are saying they can prototype at smaller resolutions and then upscale to a higher one. I can see how we could apply this same concept to
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Sora Paper Insights: Aspect Ratios and Captioning in Diffusion Models
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Lots of valuable nuggets in the Sora paper, but a few things stood out for me.
— Pietro Schirano (@skirano) 16 février 2024
– Training with different aspect ratios improves output quality for diffusion models (we suspected this for a while but it's nice to have confirmation).
– Better captioning leads to more diverse and… pic.twitter.com/CvORNbUdxJLots of valuable nuggets in the Sora paper, but a few things stood out for me. – Training with different aspect ratios improves output quality for diffusion models (we suspected this for a while but it's nice to have confirmation). – Better captioning leads to more diverse and
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OpenAI reportedly using GPT-5 as research assistant
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Totally agree with that. But I think it's not a far-fetched scenario to imagine OpenAI at this point has been using GPT-5 in some form, and maybe as a "research assistant" in this case.
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GPT-5 Created Sora: Understanding the Connection
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Once you know GPT-5 created Sora, everything makes sense.