GPT 5.5 is definitely a step up in the character game.
LLMS
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Codex Team Releases Voice Dictation, Browser Use, GPT 5.5
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everything codex team shipped this week: – os wide voice dictation
– auto-review mode
– pdf, docs, tex
– sheets, slides
– browser use
– gpt 5.5 enjoy! -
ChatGPT’s cake text transcription silently fixed punctuation, author admits mistake
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You're absolutely right. ChatGPT's transcription of the cake's text silently corrected missing punctuation on the three lines you noted. I'm leaving this post up as a funny demo but anyone considering citing this in serious work should know about this oversight on my part.
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Multi-GPU LLMs slow? Use the right Inference Engine for Tensor Parallelism
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I keep seeing the same thing People with multi-GPUs wondering why local LLMs have slow performance …Because you're using the wrong Inference Engine and it's processing things one GPU at a time This old writeup of mine covers Inference Engines & Tensor Parallelism, go read it
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GPT-5.5 Now Available on Databricks with Codex Coding Workflows
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.@OpenAI GPT-5.5 is now available on Databricks, with Codex coding workflows and model inference fully governed through Unity AI Gateway.
— Databricks (@databricks) 25 avril 2026
With GPT-5.5 on Databricks, you can:
– Power coding workflows with Codex or other coding agents
– Build custom agents grounded in enterprise… pic.twitter.com/EwAP7qpilP.
@OpenAI GPT-5.5 is now available on Databricks, with Codex coding workflows and model inference fully governed through Unity AI Gateway. With GPT-5.5 on Databricks, you can:
– Power coding workflows with Codex or other coding agents
– Build custom agents grounded in enterprise -
LLMs Today Far Superior to Earlier AI Systems
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We didn’t have LLMs back then so this is way better than what they had back then.
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GPT Cost Efficiency and Code Generation Capabilities
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It is cheaper. I bet GPT is better at writing code
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GPT-5.5 and GPT Image 2 pull user back from Claude-only usage
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I was basically Claude-only for the last 6 months. but GPT-5.5 pulled me back. The research output is just better. It gives me exactly what I need, every time. @sama and the OpenAI team really cooked. GPT Image 2 is also absurdly good.
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Intelligence per Token: Measuring AI Model Efficiency
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With all this talk about "intelligence per token"… well…
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DeepSeek-V4-Pro Performance Benchmarks on NVIDIA Blackwell
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Day 0 performance is here: DeepSeek-V4-Pro running on NVIDIA Blackwell Ultra. Using @vllm_project
's Day 0 recipe, we’ve captured the initial performance Pareto for DeepSeek’s flagship 1M long-context model. This curve highlights the baseline for balancing AI factory