persona 5 royal doing 7.25mil and sega still acting like it's some niche anime side hustle. meanwhile they keep pushing sonic into every genre except tax software
Don’t give them any ideas… https://taxheaven3000.com/
Readit Newsgfaure commented on Sega mistakenly reveals sales numbers of popular games gematsu.com/2025/06/sega-... · Posted by u/kelt
I had a bit of a chuckle that apparently 5 out of 50000 opening "(" parentheses weren't closed, but then I saw that 2 out of 12000 "]" brackets weren't opened! What criminal is using these standalone?
There is the normal notation for half-open ranges, which would lead to unbalanced brackets.
Hey HN! We’re Toby and Jay, creators of Dia. Dia is 1.6B parameter open-weights model that generates dialogue directly from a transcript.
Unlike TTS models that generate each speaker turn and stitch them together, Dia generates the entire conversation in a single pass. This makes it faster, more natural, and easier to use for dialogue generation.
It also supports audio prompts — you can condition the output on a specific voice/emotion and it will continue in that style.
Demo page comparing it to ElevenLabs and Sesame-1B https://yummy-fir-7a4.notion.site/dia
We started this project after falling in love with NotebookLM’s podcast feature. But over time, the voices and content started to feel repetitive. We tried to replicate the podcast-feel with APIs but it did not sound like human conversations.
So we decided to train a model ourselves. We had no prior experience with speech models and had to learn everything from scratch — from large-scale training, to audio tokenization. It took us a bit over 3 months.
Our work is heavily inspired by SoundStorm and Parakeet. We plan to release a lightweight technical report to share what we learned and accelerate research.
We’d love to hear what you think! We are a tiny team, so open source contributions are extra-welcomed. Please feel free to check out the code, and share any thoughts or suggestions with us.
Amazing that you developed this over the course of three months! Can you drop any insight into how you pulled together the audio data?
gfaure commented on The Cantonese Scrolls – A Cantonese language learning mental RPG cantoscrolls.com/... · Posted by u/fearedbliss
Thanks for that! Yup I'm well aware of the differences between literary and casual (and of course the differences between Standard Chinese and Written Cantonese). My goal for this project is to help preserve and teach the Cantonese language based on my understanding (which is still improving), but more importantly teaching it as a completely independent language because that's what it is. In this instance Standard Chinese or any sort of literary pronunciation is essentially useless to me since people aren't speaking that way, and I also am a strong believer of writing the way you speak. Mandarin speakers also used to have this problem until the mid 1800s when the transition from 古文 to 白話 took place, and standardized on Beijing dialect.
And you are definitely right about 懶音. They are both explained in the same section not because they are the same thing but because they are both modifications occuring for the sound pronunciations.
> In this instance Standard Chinese or any sort of literary pronunciation is essentially useless to me since people aren't speaking that way
Thank you for creating this! But I'm afraid this is the misunderstanding -- words like san1 cing2 申請 are very much everyday words, even though the reading of the character is deemed literary. You should think of characters like 請 and 聽 as just having multiple in-context pronunciations, some of which you should learn, some of which you probably don't need to.
gfaure commented on The Cantonese Scrolls – A Cantonese language learning mental RPG cantoscrolls.com/... · Posted by u/fearedbliss
> - Characters starting with the vowel i sound more an e. Therefore, "to invite", 請 (cing2), sounds more like ceng2, and "to hear/listen", 聽 (ting1), sounds more like teng1.
As a Cantonese speaker, I love the effort here! However, the above isn't correct. This is an example of vernacular vs. literary pronunciation, and 請 has both pronunciations, depending on context. For instance, 請 is ceng2 when used as the verb "to invite", but cing2 in compounds like jiu1 cing2 邀請.
It shouldn't be conflated with the phenomenon later in that same paragraph about 懶音 "lazy pronunciation".
gfaure commented on We found North Korean engineers in our application pile cinder.co/blog-posts/nort... · Posted by u/erehweb
Certainly someone of obvious Asian descent and accent who introduces themselves as “Simon” is not a red flag. As you say, some people understandably prefer not to hear their real name mangled every day.
But someone of obvious Asian descent and accent who introduces themselves as “Simon Cartwright” and has vague tales of growing up in London… again, it’s possible, and we should treat each individual with respect and assumption of good intent, but that might make me dig a little deeper.
Adoption makes it entirely possible for an Asian-presenting person to have a European first name _and_ surname and, frankly, is not something you should be asked about in an interview.
gfaure commented on The plan-execute pattern mmapped.blog/posts/29-pla... · Posted by u/surprisetalk
I've also successfully used this in production — another side effect is that you can inspect the exact information that each step is using to compute its own output, if you ensure that the output plan is a pure function of the input plan.
A video presentation of the same algorithm: https://www.youtube.com/watch?v=ajv46BSqcK4
The iPhone Mirroring was the most interesting announcement (and I don't think was leaked).
I suspect it will only be useful for emergencies as latency will be terrible, though.
This is occasionally quite useful. A few weeks ago, my phone's display went haywire, and the only way I could operate it to secure a backup was through the somewhat hidden mirroring functionality via QuickTime screen recording.
Of course they could pronounce the words in any modern Chinese language, but why not pick the largest and most standardized one?