WHALES FATHER 🐳 retweeted
Going first place right out the gate is rare for any team 🙏 xitter.cf/HeyGen/status/21133259…
🤝 Paid partnership
HeyGen Video 1 went up against today's leading video models in a blind test on @ArtificialAnlys.
Our first general-purpose video model ranked #1 in text to video.
Try it: platform.heygen.com/models/h…
WHALES FATHER 🐳 retweeted
I don't understand why people don't just lock in on YouTube
My faceless YouTube channels make me $120,000+/mo (long form only)
There is 𝗻𝗼 𝗹𝘂𝗰𝗸 involved.
Let me send you a free course on exactly how to do it.
Just Retweet and Comment "YouTube" (must follow @itmagiber)
HeyGen holds the top two spots on the @ArtificialAnlys text to speech leaderboard.
#1 HeyGen Voice Turbo
#2 HeyGen Voice
Turbo is the faster, cheaper mode of the voice model behind every HeyGen video. It's live on the API, and the Turbo endpoint is free until November 30.
WHALES FATHER 🐳 retweeted
Most AI videos get attention for 3 seconds. The real challenge? Keeping people hooked for 30. 👀
A powerful opening. Consistent visuals. Rising tension. A payoff that makes people stay until the end.
That’s where APOB AI + Seedance 2.5 can change the game for AI influencer creators.
Virality isn’t luck you can guarantee. But creating videos people want to finish? That’s a skill worth mastering. 🔥
🤖 Made with AI
WHALES FATHER 🐳 retweeted
AI influencers are redefining digital marketing. Brands that adapt early could have a huge advantage.
🤖 Made with AI
WHALES FATHER 🐳 retweeted
EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github: github.com/eagle-hq/EAGLE-4
WHALES FATHER 🐳 retweeted
The CapCut Black Friday offer is live from today, with 60% off Pro and 40% off Ultra.
Available October 20–30, on CapCut Desktop only.
The promo uses several audio clips, and each one seems to arrive at a different volume.
Edit Pilot in CapCut PC supports loudness normalization and audio-level changes for selected clips. I can describe what needs attention, listen to the result, and check how the sound carries across the campaign sequence.
Working through that consistency pass gives me a better basis for judging the finished ad’s overall audio balance.
#capcutpc #capcutmarketing #capcutsale #capcutblackfriday
🤝 Paid partnership
WHALES FATHER 🐳 retweeted
Most AI videos look impressive. But can they actually keep people watching for 30 seconds?
The difference is a strong hook, consistent visuals, rising tension, and a payoff worth waiting for.
APOB AI + Seedance 2.5 makes that workflow much more practical for creators building AI influencer content.
Going viral isn’t guaranteed. Designing videos people want to finish is a better place to start.
🤖 Made with AI
WHALES FATHER 🐳 retweeted
1.3B params. 3 benchmarks. 3 first places. olmOCR-Bench, OmniDocBench, DocParsingBench: OXR owns the top line on each.
PaddleOCR-VL-1.6? 96.34 to OXR's 97.18. 144.7 s vs 101.0 s for 100 pages, RTX PRO 6000. Widest gap: tables. Layout stands alone. Swap it. RSI-trained, ordering alongside recognition.
github.com/SoMarkAI/OXR
Aloha!🌺 Meet Ornith-1.5-122B: No Tradeoff Between Strong and Fast
Stronger. Faster. Leaner. Ornith-1.5-122B delivers frontier-level capabilities with exceptional inference efficiency. With superior instruction following, stronger task decomposition, and deeper understanding of real-world workflows, it achieves state-of-the-art performance among open-source models of comparable size, while running on a single NVIDIA DGX card!!
Open weights under the MIT license.
Coding
✅SWE-bench Verified: 0.845
✅TB2.1: 0.813
✅CyberGym: 0.800
✅NL2Repo: 0.512
Agentic
✅HLE: 0.446
✅BrowseComp: 0.785
✅MCP-Atlas: 0.746
✅Toolathlon: 0.708
🤗Hugging Face: huggingface.co/ornith-ai/Orn…
We can’t wait to see what you build with Ornith-1.5-122B.
WHALES FATHER 🐳 retweeted
Introducing SubQ Snap, the first long-context decision model for real enterprise work.
Snap is the only decision model or LLM where compute per token stays constant as context grows.
• 384K tokens of multimodal context, 12x larger than Jev.
• 61.7 on Decision Index v0.2.1 vs Jev’s 57.9, outperforming on 13 of 16 enterprise benchmarks.
•Processes 100K tokens and returns a decision in under one second.
•$0.05/MM input tokens. Output is free.
Available today to anyone.
The first 10,000 sign-ups get 100M free input tokens.
We’ll likely hit capacity fast and will add users as we add compute. Compute offers welcome 🙂.
Latency will be variable as we tune the platform to this new model and category of users.
Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k.
Visit: subq.ai/
WHALES FATHER 🐳 retweeted
we've raised $50M from Khosla Ventures, Accel, Initialized, Kevin Weil, DST Global
to build the world's most wearable BCI cap at Sabi
read more here:
forbes.com/sites/rashishriva…
WHALES FATHER 🐳 retweeted
Show me text clarity xitter.cf/HeyGenDev/status/21075…
HeyGen Video, now in 2K resolution.
#1 on @OpenRouter's video leaderboard by usage, with quality on par with the leading models at a fraction of the price.
developers.heygen.com/heygen…
WHALES FATHER 🐳 retweeted
One-tap undo on the whole agent run is perfect for nervous first-timers. xitter.cf/HyperFrames_/status/21…
WHALES FATHER 🐳 retweeted
It worked.
Gave Claude $20.
Left it coding overnight.
Woke up to:
• finished script
• +$95 from first 5 trades
Didn’t touch anything.
Then I found this wallet:
0xb27b...b82
• $384,858 profit
• 13,070 predictions
• $18.5K biggest win
• Started March 2026
Almost no one is watching it.
While building my script, I copytraded it to test the math.
Started with $80.
→ $4,218 in a few weeks
Every position is identical in structure.
Not trading.
One equation.
Running while you sleep.
Examples:
$17,839 → $36,318 (+103%)
$3,112 → $15,011 (+382%)
$10,676 → $22,178 (+107%)
Here’s the exact framework I gave Claude:
1. Temporal bias
Find BTC time windows with >65% edge.
Ignore everything else.
2. Kelly sizing
Size based on confidence.
Never fixed bets.
f* = (p × b − q) / b
3. Volatility filter
Skip high volatility.
Trade only clean conditions.
4. Bayesian updates
Update probabilities after each trade.
The system improves over time.
Claude built everything while I slept.
Funded it with $20.
First trade fired minutes later.
Copytrade my finds → @aftahi_ai
…
You’re seeing this early.
That window doesn’t stay open.
You only need Claude + Device + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word ' DM '
2. Like and Retweet this post
3. Follow me @aftahi_ai
(so i can DM you)
We're releasing HeyGen Video, built for businesses that need production-quality video without production-level costs.
Pricing starts at $0.01/s through October (50% off)
Built on @Minimax_AI H3, post-trained by HeyGen.
Learn more: developers.heygen.com/heygen…
WHALES FATHER 🐳 retweeted
I just built something with @luoapp.
Introducing CampaignKit AI - a complete AI-powered launch content system designed to help founders, creators, and marketing teams turn a simple product brief into a complete launch campaign.
From X posts and launch hooks to LinkedIn content, Product Hunt copy, email campaigns, video scripts, social content, CTAs, and more - everything can be created through one workflow.
The idea is simple:
One product brief → one complete launch content kit.
The goal is to make the journey from “I have a product” to “I’m ready to launch” faster, simpler, and more organized.
I built CampaignKit AI as part of the Luo Builder Program, and it was exciting to turn the idea into a working solution with @luoapp.
If you’re building an AI product, launching a startup, or preparing a new product campaign, check it out here:
luo.app/apps/c1644dd3-5d1e-4…
Built with @luoapp
#workwithluo
WHALES FATHER 🐳 retweeted
I went looking for an AI voice tool that holds up on long audio. Ended up with a clone of my own voice reading a full tutorial script.
Slight problem: it sounds more real than I do!
Most tools I tried sounded great for the first few seconds, then the tone drifted the longer they talked.
Cartesia held up. It needed 10 seconds of my voice for the clone, and it can take up to 60 to keep my accent closer.
Recorded the whole process so you can try it too.























