Recent submissions

Comment · 2 months ago
The iteration cycle is becoming very quick. Gemini 3.8 Flash arrived just 20 days after 3.7 Flash.

Similarly Qwen3.8-Max was updated in just 30 days (to the 0902 release) and Muse Spark in just 28 days (to the 1.3 release).

A year ago iterative releases were every 3-6 months. At what point will they reach nightly candidates?

Comment · 2 months ago
You can also customize Gemini Flash. It's a niche thing benefitting few, but you can tune gemini-3.7-flash in Google Vertex (now named "Agent Platform"?)
Comment · 5 months ago
Standard pricing is showing for me as $1.50 / $9.

(I suspect you're viewing the "flex" pricing).

Comment · 8 months ago
> For venue recommendations [...] we do not rely purely on the language model. We embed both user requirements and venues into vector representations and retrieve candidates using similarity search. Hard constraints such as capacity and dates are applied first, and results are ranked before being presented.

Huh this surprised me as a forgone opportunity.

I heard second-hand about the process for organizing our last offsite. Searching for venues was not the time-consuming part.

The time-consuming part was actually engaging with the venues to confirm specific details not available online. Our teammate who did this engaged with _hundreds_ of venues. It was a lot of work on their part ... and probably not the most fun part of their job.

That seems like an ideal agent scenario?

Comment · 9 months ago
Interesting that this was released without a prior GPT-5.3 release. I wonder if that means we won't see a GPT-5.3?
Comment · 11 months ago
Comment · 11 months ago
I love Cerebras. I also love that they've started to scale rate limits to useful levels (which is relatively new).

I still don't know how long they'll support our chosen model.

On Oct 22 I got an email saying that

```

- qwen-3-coder-480b will be available until Nov 5, 2025

- qwen-3-235b-a22b-thinking-2507 will be available until Nov 14, 2025

```

That's not a lot of notice!

I don't want to spend all my time benchmarking new models for features I already built. I don't want my users' experience to be disturbed every few months.

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