Mo Alghanam

“Code. Debug. Ship. Repeat.”

DeepSeek v4 just dropped

You can now clone any voice on a 4GB GPU. LuxTTS just killed the "you need ElevenLabs" excuse. It clones voices from 3 seconds of audio at 150x realtime speed. Fits in 1GB VRAM. Faster than realtime even on CPU. → 48khz output vs industry standard 24khz → Clone any voice locally with no subscription → Works on GPU and CPU 100% Opensource.

Today we're releasing our first open source TTS model, TADA! TADA (Text Audio Dual Alignment) is a speech-language model that generates text and audio in one synchronized stream to reduce token-level hallucinations and improve latency. This means: → Zero content hallucinations across 1,000+ test samples → 5x faster than similar-grade LLM-based TTS → Fits much longer audio: 2,048 tokens cover ~700 seconds with TADA vs. ~70 seconds in conventional systems → Free transcript alongside audio with no added latency

@Star_Knight12 Just stop using 3.1 Pro and use 3. It will work fine.

what's happening to GeminiAI

@amooh001 Hello everyone.

@abhitwt github.com/H3m0rv1ch1/x-t…

|￣￣￣￣￣￣￣￣￣￣￣￣￣￣| | share your best project | |＿＿＿＿＿＿＿＿＿＿＿＿＿＿| \ (•◡•) / \ / —— | | |_ |_

The Zero-Markup Domain: Transfer Your Domain to Cloudflare for Price and Security. Wholesale Pricing: No markup, ever. You pay what Cloudflare pays: cfl.re/4abW3mG

#hookedonkiro with @kirodotdev

What if your Halloween costume app got HIJACKED by a corrupted AI? 👾 That's "The Void" - my hackathon submission where you fight through glitchy minigames to unlock AI transformations The corruption event alone took 3 days to perfect 😅 Try it: [spookify-ai-the-void.pages.dev

Today, we're turning your project into a full-fledged identity provider 🔐 Now you can build "Sign in with Your App" using Supabase Auth supabase.com/blog/oauth2-pr…

AT LONG FREAKING LAST 😭🎉💥🔥🦄✨🤯🥳🚀💯💦‼️

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Lets Goooooooooo

@chddaniel @elonmusk This is very cool, man! Keep going. May I ask what application you're using for screen recording?

👨‍💻👩‍💻 Indie hacker mentality: Why would @elonmusk pay $44,000,000,000 for Twitter When I could just build this myself

Pentesting firms don't want you to see this. An open-source AI agent just replicated their $50k service. A "normal" pentest today looks like this: - $20k-$50k per engagement - 4-6 weeks of scoping, NDAs, kickoff calls - A big PDF that's outdated the moment you ship a new feature Meanwhile, AI agents are quietly starting to perform on-par with human pentester on the stuff that actually matters day-to-day: ↳ Enumerating attack surface ↳ Fuzzing endpoints ↳ Chaining simple vulns into real impact ↳ Producing PoCs and remediation steps developers can actually use And they do it in hours instead of weeks and at a fraction of the cost. This approach is actually implemented in Strix, a recently-trending open-source framework (14k+ stars) for AI pentesting agent. The framework spins up a team of AI "attackers" that probe your web apps, APIs, and code. It then returns validated findings with exploit evidence, remediation steps, and a full PDF report that looks exactly like what you'd get from a traditional firm, but without a $50k invoice and a month-long wait time. You can see the full implementation on GitHub and try it yourself. Just run: `strix --target https: //your-app .com` and you are good to go. Human red teams aren't disappearing but the routine pentest (pre-launch, post-refactor, quarterly checks) is clearly shifting to AI. Strix is one of the first tools that makes that shift feel real instead of hypothetical. I've shared the GitHub repo in the replies.

The first hackathon I ever competed in with @kirodotdev. Let's gooooo! #hookedonkiro

@RiazBaby hi

No account should be under 1k📈 Say hi, we follow you🤍👇

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