Huma baloch

AI Tech + Digital Income 💻💰
Sharing tools, ideas and opportunities worth knowing.

[Huma baloch @Humabaloxh]

🤖🔥 100+ AI tools to work smarter! Save this list! 🔖

[Huma baloch @Humabaloxh]

@dylancooper_ai This stands out

[Huma baloch @Humabaloxh]

@rizwanbhatii122 Impressive execution

[Huma baloch @Humabaloxh]

@Fatima_noor88 Great progress

[Huma baloch @Humabaloxh]

@laiba_malik3 This stands out

[Huma baloch @Humabaloxh]

@rauf1714 Quality keeps improving

[Huma baloch @Humabaloxh]

@zainabkhan673 @voicearena_ai AI keeps moving fast

[Huma baloch @Humabaloxh]

Looking forward to trying it

[Huma baloch @Humabaloxh]

What happens to the result over a full paragraph? Sentence-level identification and sustained realism need not behave the same way.

[Shobhit Banga @shobhitbanga]

Drop 2/15

Are we actually measuring the things we ultimately want our voice AI models to achieve?

The best AI voices are becoming hard to tell apart.
From each other. Not from humans.

🚀 Introducing Turing TTS: an evaluation that measures how often human listeners mistake AI-generated speech for real human speech.

We tested leading TTS models against real human speech. Even the best model fooled listeners only ~10% of the time.

With Turing TTS, we hope to contribute to a broader discussion within the research community about how we measure progress in voice AI.

If one of our goals is to develop speech that is indistinguishable from human speech, how well do our current evaluation methods capture progress toward that goal?

We don’t claim that Turing TTS is the right way forward, or that human indistinguishability should be the goal of every TTS system.

Rather, we hope these findings encourage the community to collectively examine whether blind pairwise human evaluations of naturalness are sufficient, and what else we might need to measure.

Results are now live on @voicearena_ai.

[Huma baloch @Humabaloxh]

@saravibes1714 Nice breakdown

[Huma baloch @Humabaloxh]

@Sapnahohr Smart approach

[Huma baloch @Humabaloxh]

@sufia_khan23 This changes a lot

[Huma baloch @Humabaloxh]

@shobhitbanga Sounds human needs more detail than trust the demo.

[Aarush Yadav @AarushYadav47]

We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again.

Typing is slow. Talking into your computer is awkward. Subvocal fixes both

Our glasses give you the speed of speech without you making a sound or touching a keyboard.

It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min.

Pre-orders are now live at:
https://t.co/DzrwIpg3GR

[Rahul Chhabra @rahulchhabra07]

Introducing RL with Neural Feedback (RLNF). We have found reliable ways to train AI models to respond to human preferences purely from brain signals.

The example below is a picture of a face that self-transforms into a more attractive version for the subject as they are looking at it.

[Huma baloch @Humabaloxh]

@zainabkhan673 Great work.

[Huma baloch @Humabaloxh]

The pace of AI is incredible

[Huma baloch @Humabaloxh]

A good creative workflow should help you move forward without limiting where you can go. Flova 1.5 brings multiple Skills into one conversation, so you can continue working toward your goal while exploring different approaches. It's a practical improvement for anyone whose best ideas tend to appear during the process itself. https://t.co/qXqAjG1I4M

[FlovaAI @Flovaai]

Flova 1.5 | One Chat with Multiple Skills
One project. Multiple Skills.
Bring different Skills together in one creation!

- You set the goal. Agent plans the workflow.
- Mix and match Skills to explore different stories and styles.
- Refine your creations and take your ideas even further.

✨ Mix and Match Skills. Turn your ideas into videos, your way!

[Huma baloch @Humabaloxh]

@saravibes1714 Love this.

[Huma baloch @Humabaloxh]

@Sapnahohr This changes a lot

[Huma baloch @Humabaloxh]

@sufia_khan23 Excited to see what's next