AI Educator & Digital Strategist🚀 AI & Tech Creator 📈 Helping Brands Grow with Quality Content 🤝 Open for Collaborations & Promotions 📩 DM for Business
American
Joined February 2026
- Tweets6.1K
- Following19
- Followers4K
- Likes12.4K
Noha_Ai retweeted
Our Earth Atmosphere 🌐🌏
50 websites that make you feel like you have access to the entire planet in real time. 🌍
Most people will never know these exist.👇
1. ventusky.com — Weather, precipitation, and wave map
2. earth.nullschool.net — Global wind and ocean currents
3. worldview.earthdata.nasa.gov — Daily satellite image of the world
4. firms.modaps.eosdis.nasa.gov — Viewing fires on Earth's surface from satellites
5. volcanodiscovery.com — Real-time monitoring of volcanic activity
6. aurora-service.eu — Northern lights forecast
7. heavens-above.com — Satellite and station pass times
8. theskylive.com — Current positions of the planets
9. adsbexchange.com — Unfiltered flight tracking
10. ocearch.org — Tracking sharks in the ocean
11. climatereanalyzer.org — Real-time global temperature deviation
12. nhc.noaa.gov — Official hurricane tracking center
13. tropicaltidbits.com — Viewing storm models side by side
14. fire.airnow.gov — Wildfire smoke spread map
15. aqicn.org — Real-time air pollution in cities
16. waqi.info — Global air quality measurements
17. sentinel-hub.com — Examining satellite images yourself
18. nsidc.org — Real-time status of polar ice caps
19. sealevel.nasa.gov — Sea level change data
20. tidesandcurrents.noaa.gov — Tide and water level measurements
21. waterdata.usgs.gov — Real-time river flow rates
22. droughtmonitor.unl.edu — Drought spread map
23. emsc-csem.org — European earthquake monitoring center
24. seismicportal.eu — Seismic data stream
25. raspberryshake.net — Live listening to seismometers around the world
26. volcano.si.edu — Active volcano database
27. tsunami.gov — Tsunami warning center
28. spaceweather.com — Solar storms and magnetic effects
29. swpc.noaa.gov — Official space weather
30. spotthestation.nasa.gov — Station pass over you
31. n2yo.com — Live tracking of satellites in orbit
32. solarsystemscope.com — Live simulation of the solar system
33. cneos.jpl.nasa.gov — Celestial bodies approaching Earth
34. fireball.amsmeteors.org — Meteor fall reports
35. lightpollutionmap.info — Dark areas where you can see stars
36. suncalc.org — The sun's path during the day
37. opensky-network.org — Open air traffic data
38. globalfishingwatch.org — Tracking fishing fleets around the world
39. openrailwaymap.org — The world's railway network
40. electricitymaps.com — Real-time electricity supply by country
41. energy-charts.info — European energy production data
42. gridwatch.co.uk — Live load on the electrical grid
43. netblocks.org — Internet outages by country
44. radar.cloudflare.com → Real-time state of internet traffic
45. websdr.org — Listening to radio receivers around the world
46. birdcast.info — Tracking bird migration on radar
47. ebird.org — Real-time bird observation map
48. movebank.org — Animal migration route data
49. inaturalist.org — Live observations around the world
50. gbif.org — Global biodiversity database
Save this. You’ll definitely need some of these later. 🔖
Follow @Zenith_coder for more useful websites, AI tools & tech resources.
Noha_Ai retweeted
If Turing TTS encourages better human-baseline tests elsewhere, that would be a contribution even if another method eventually becomes the standard.
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.
Noha_Ai retweeted
Less time switching between editing tools. More time bringing creative ideas to life.
DeeVid Al combines the essential steps of Al video production into one workflow.
deevid.ai/app/ai-long-video
Turn Your Story into a Complete Video. 🎬
An all-in-one long-video workflow with no editing required.
Create videos up to 30 minutes with:
Script to Video
Continuous Storytelling
Consistent Characters
Multi-modal Input
AI Production Agent
From story development and storyboarding to scene creation, voiceovers, and subtitles — everything in one workflow.
Your story deserves to be told in full.
Try Deevid AI Long Video
#DeevidAI #AILongVideo #AIVideo #AIFilmmaking
Noha_Ai retweeted
POV: Your product ad got a little too ambitious and decided to break out of the frame. 😂 And while you're making your next creative masterpiece, don't miss 60% off CapCut Pro or 40% off CapCut Ultra. Black Friday deals end Oct 30, so grab yours before they're gone!
Okay, this is the kind of visual that makes people look twice. You've got the giant portrait, someone is reaching in, the product reveal, and those close-up shots of the product itself. That's a lot of footage and visual elements to keep track of! CapCut PC's Multi-Track Editing lets you organise your clips, overlays and other assets on separate tracks, so you can adjust each layer without having to rearrange everything else.
CapCut Sale: tinyurl.com/2v23rn22
#capcutpc #capcutmarketing #capcutblackfriday #capcutsale
🤝 Paid partnership
Noha_Ai retweeted
I want human-like speech research to advance. I also want people to know when they are interacting with AI. Those positions are compatible.
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.
Noha_Ai retweeted
Your skincare product might look amazing on camera, but can viewers actually hear what you're saying about it?
CapCut PC's Black Friday deal is on its final day: 60% off Pro and 40% off Ultra. For a UGC review with a voiceover, I'd use Edit Pilot to optimize the original audio, then use Enhance Voice if the spoken parts need more clarity. I'd also adjust the voiceover and music separately with Multi-Track Editing.
tinyurl.com/2v23rn22
#capcutpc #capcutmarketing #capcutblackfriday #capcutsale
Noha_Ai retweeted
How should a score above 50% be interpreted? Systematic misidentification is interesting, but it isn't the same thing as random guessing.
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.
Noha_Ai retweeted
A single engaging audio pair can explain the test. It can't substitute for the full evaluation.
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.
Noha_Ai retweeted
@voicearena_ai 's question isn't just how close are we. It's what exactly are we trying to get close to, and why?
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.
Noha_Ai retweeted
The real potential of Al video isn't just making short clips. It's creating stories with a beginning, middle, and ending.
DeeVid Al is exploring exactly that.
deevid.ai/app/ai-long-video
Turn Your Story into a Complete Video. 🎬
An all-in-one long-video workflow with no editing required.
Create videos up to 30 minutes with:
Script to Video
Continuous Storytelling
Consistent Characters
Multi-modal Input
AI Production Agent
From story development and storyboarding to scene creation, voiceovers, and subtitles — everything in one workflow.
Your story deserves to be told in full.
Try Deevid AI Long Video
#DeevidAI #AILongVideo #AIVideo #AIFilmmaking
Noha_Ai retweeted
@voicearena_ai 's 94% figure is pooled across the evaluation. The best-model result is a different statistic. Keeping them separate matters.
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.
Noha_Ai retweeted
A strong Google result doesn't settle whether sounding human is what users need. Capability and product choice remain different decisions.
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.
Noha_Ai retweeted
The conversation should outlast the Google result. What does the next model teach us about human identification that this one doesn't?
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.
Noha_Ai retweeted
A ranking can tell you who leads the tested group. Without a human comparison, it doesn't directly answer whether listeners can distinguish them from people.
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.
Noha_Ai retweeted
Creating a complete Al film from a script sounds complicated, but DeeVid Al is making the workflow much simpler.
Story development, video generation, voiceovers, subtitles, and editing in one place.
deevid.ai/app/ai-long-video
Turn Your Story into a Complete Video. 🎬
An all-in-one long-video workflow with no editing required.
Create videos up to 30 minutes with:
Script to Video
Continuous Storytelling
Consistent Characters
Multi-modal Input
AI Production Agent
From story development and storyboarding to scene creation, voiceovers, and subtitles — everything in one workflow.
Your story deserves to be told in full.
Try Deevid AI Long Video
#DeevidAI #AILongVideo #AIVideo #AIFilmmaking
Noha_Ai retweeted
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:
subvocal.co/preorder?utm_sou…
Noha_Ai retweeted
🚀 GEMINI vs PERPLEXITY: Which AI Comes Out on Top?
Discover 10 powerful prompts to unlock the full potential of both AI tools for research, content creation, productivity, and more!
Test these prompts and find out which AI delivers the best results. 👇
Follow for more AI tips & powerful prompts! 🧵
