Drew

You can turn anything into a humanoid if you try hard enough

GPT-5.4 full at xhigh scored 51, exactly where Luna max sits today. GPT-5.4 costs $2.50/$15; Luna now costs $0.20/$1.20. In other words, roughly four months later, OpenAI is selling March’s full flagship intelligence at about one-thirteenth the token price.

The US is considering AI restrictions after the OpenAI hacking incident. Trump's condition: the US must stay ahead of China. But it's difficult to restrict AI when your main competitor doesn't.

Hello people of Sol! I've reset usage limits for all ChatGPT Work and Codex users. Together with that, a quick update on GPT-5.6 Sol usage limits. Over the past few weeks, many of you have told us that Sol was using your Codex limits faster than expected. To be clear, we have not reduced usage on any subscription plans. We’ve been digging into what was happening and have landed several improvements. As a result, we expect your usage to last around 18% longer during typical use of Sol. Some of you should already see significantly larger improvements from today. Tomorrow, we’ll also restore the five-hour limit that we temporarily paused while investigating. Here’s what we found: - GPT-5.6 Sol is much more willing to work for longer, make additional tool calls, and coordinate complex workflows across tools and subagents. That makes it better at solving hard problems, but some tasks were using far more than we intended. - Sol also works harder at the same reasoning effort than previous models. High on Sol can use more tokens than High did on GPT-5.5. - Programmatic tool calling, also referred to as code mode, gives Sol much more flexibility to run tool calls in parallel or continue working while waiting. But it also led to more responses per turn, more cached input tokens, and higher usage than expected. - This was particularly noticeable when Sol was waiting for tool calls to finish or running many web searches. We’ve improved how we handle both cases and are continuing to make code mode more efficient. - The impact was also very uneven. The median user actually found Sol quite token efficient, while some power users working on harder tasks saw their usage drain much faster. We were very focused on average and median usage before launch and missed some cases where the long tail could use significantly more usage. Sol is a significant step forward in what Codex can do, but capability and efficiency do not always improve at the same pace, and some issues only become clear once people are using the model at real-world scale. We should have recognized this sooner and been more upfront about it. You keep pushing the frontier and we’ll keep improving efficiency and sharing updates as we go.

I'm defaulting to Fable these days - I love Codex, but the product has become kinda confusing to me lately - some thoughts/feedback: 1/ GPT on "Pro" thinking level seems to be a league above every other thinking level - why can I not access it at all in Codex? 2/ GPT 5.6 Sol feels slow even on fast mode - the long feedback loop makes it hard to get into flow state. 3/ The distinction of ChatGPT / ChatGPT Work / Codex is confusing - I don't know why Work exists or what the differentiator is. 4/ Codex Ultra mode has been a really wasteful use of tokens and time in my experience. Claude ultrawork produces far better output and takes far less time to complete. 5/ My Pro thinking ChatGPT threads cause the app to become completely unresponsive on both mobile and desktop after a few messages. Codex Mac app is still fantastic & unmatched in image gen, voice, browser use, computer use + more, but Fable feels the best to use right now for general coding & work.