Yes, the voices now sound more robotic, fake and don’t change tone properly.
How do we revert to the older models?
I was doing a podcast and it sounded really well and natural. Now it sounds fake and like an “AI slop“
Alnilam is severely downgraded and changed. Achernar less so, but they both sound inadequate.
Worst is the lack of consistency not only between chunks (some faster, some slower…) but also within a single response.
Here are two examples. Both files contain snippets of pre and after nerf recording - using the flash models.
The firs one is about the change of personality.
Notice how the lively natural conversation is replaced by pretend suspense building a-la children television show.
This one is more problematic:
- Alnilam changes voice completely within the single API response
- Giant pause with awkward resolution.
The new voices generally sound fake and awkward. Pre Dec 10 it was a dynamic, natural, easy to follow chat. Now it is like a neighborhood theater open-mic event. People used to ask me if it is really AI as is sounded so good, now it is obviously fake and with some kind of an amateurish pathos.
P.S. This is the prompt for the second file
SARAH
This episode releases on December 1st, and as the community knows, that means it’s World AIDS Day. Victor, what’s on your mind today as we mark this date?
VICTOR
(Pauses reflectively)
It’s a powerful day for memory, of course. For remembering the resilience we built out of necessity. But a day like this has to be about accountability, too. We’re digging into the ECDC’s 2025 HIV Report today—it’s a major community check-in.
SARAH
(Seriously)
And the news is… complicated. The report essentially warns us about a “Hidden Crisis” in Europe. Victor, the number that slapped me in the face was this: 54% of all new HIV diagnoses in 2024 were late.
VICTOR
Exactly. Over half of the people diagnosed are already immune-compromised. That’s why we’re breaking this data down today: to understand the gap between our amazing success in treatment and our massive failure in testing.
SARAH
We’ll simplify the numbers, talk about the barriers like stigma and PrEP access, and—most importantly—what we can practically do this week. Let’s dive in.