Voice AI gets a lot more interesting when you stop judging it from one perfect sentence.
What caught my eye in @inworld_ai's TTS-2 GA release is the conversation side: previous-turn context, interruptions, voice direction, plus TTS-2 Flash at under 25ms P99 TTFB.
TTS-2 is also back on top of the Artificial Analysis Controlled Voice Arena leaderboard.
I want to hear what this sounds like 20 turns into an actual conversation.
https://t.co/anPOr8cvzR
What I like about this TTS-2 release is that the control is moving into plain language.
You can literally tell the voice how to deliver a line, add things like [sigh] or [laugh], and still keep the realtime side under 100ms P99.
And with the GA launch, @inworld_ai is back on top of the Artificial Analysis Controlled Voice Arena leaderboard.
Worth testing if you're building anything voice-first.
https://t.co/YiYTgtlK68
This is the TTS stuff I actually care about.
Same voice. Same sentence. Change one instruction and suddenly the delivery feels completely different.
TTS-2 is now GA, and @inworld_ai is back at the top of the Artificial Analysis Controlled Voice Arena leaderboard too.
The voice direction alone is worth playing with.
https://t.co/kmDxBAOl5e
Nearly 3 hours of campaign planning recovered from one client brief.
Viktor turned 7 pages into a complete execution plan in roughly 3 minutes.
My first attempt did not work.
I asked him to summarize the brief.
The summary was accurate, but our team still had to turn it into deadlines, responsibilities, approvals, and next actions ourselves.
That was the wrong way to delegate the work.
So I changed the assignment and gave Viktor ownership of the complete campaign intake process.
I uploaded a real client brief with every identifying detail permanently removed and asked him to prepare the work across partnerships, content, demo development, production, compliance, publishing, and reporting.
He organized 29 deliverable and operational items, built the production timeline, separated responsibilities across 7 team functions, identified 14 information gaps, flagged 12 contradictions and risks, and prepared the approval queue.
Partnerships can see what needs clarification.
Content can see exactly what must be written.
Production can see what needs to be recorded.
Review can see every claim and restriction.
Publishing can see every date, approval, disclosure, and reporting requirement.
Viktor proposed the plan. Our team reviewed and approved it.
That reduced around 3 hours of manual planning to roughly 3 minutes, with our team still controlling every external action.
If an AI can turn a client brief into work the whole team can execute, is it still just helping?
Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment.
#AIemployee #CreatorOperations
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The best AI products don't erase creators—they remove the friction that keeps creators from shipping.
Most "AI game builders" generate something that looks playable for five seconds.
Black Water flips the model: your vision stays intact while AI handles the production pipeline.
That's a much bigger unlock.
This makes a lot of sense for math.
If you miss one concept, everything after it gets harder.
Gauth’s 200+ free courses use quick quizzes to catch those gaps early, while giving students the flexibility to spend more time on what they need.
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I went in expecting another AI animation showcase.
A few seconds in, I stopped thinking about how it was made and just watched the story.
That might be the strongest sign yet that AI filmmaking is growing up.
I’ve been testing Alibaba’s HappyHorse 1.0 all day and honestly… this thing is getting scary good.
I used it to generate:
• a Mafia-style crime trailer
• an open-world survival game cinematic
• realistic action scenes with consistent motion + transitions
And the craziest part:
All of these clips started from simple prompts.
Here’s what I made with it 👇