paradyme

crypto sucks

[paradyme @0xParadyme]

@MatthewBerman Do Israel next

[paradyme @0xParadyme]

@a_shimanski @Cloudflare Clearly you don’t remember your website being down for a full day earlier this year.

[paradyme @0xParadyme]

@unusual_whales Cut income tax you twat

[paradyme @0xParadyme]

@awscloud your https://t.co/gvR3DdPu1o login is redirecting to http://127.0.0.1:64259/oauth/callback

[paradyme @0xParadyme]

@bridgemindai Because this is how we select foundation models - the lava lamp test

[paradyme @0xParadyme]

@vercel_dev Starting to catch up to cloudflare

[Boris Cherny @bcherny]

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:

1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales

Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.

A healthy team needs a mix of these, depending on the product:

- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2

Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

[Marc Lou @marclou]

.@mntruell launched Cursor 8 times, and nobody cared.

Don't give up.

[Jaya Gupta @JayaGup10]

https://t.co/uPXcTUEsnc

[konstantinpaulus @konstipaulus]

Introducing text-to-lottie: an open source skill and harness for generating production ready Lottie animations with codex/claude code.

$ npx skills add diffusionstudio/lottie

Prompts guide and repo in the comments.

[paradyme @0xParadyme]

@rdd147 It’s starting

[paradyme @0xParadyme]

@Yuchenj_UW How does taxes work on this transaction?

[paradyme @0xParadyme]

@cremieuxrecueil Side effects are going to be gnarly

[paradyme @0xParadyme]

@tobi Should check out what’s happening to your neighbors to the south.

[paradyme @0xParadyme]

@FoxNews

[paradyme @0xParadyme]

@Megatron_ron RIP petro dollar

[paradyme @0xParadyme]

@brian_armstrong Hard agree

[Nav Toor @heynavtoor]

🚨 ElevenLabs charges $5 to $99/month for AI voice cloning. Their Business plan costs $1,320/month.

Someone open sourced a voice AI that clones any voice from a short clip. 30 languages. Studio quality. Free.

It's called VoxCPM2.

Give it a short clip of anyone's voice. It clones their accent, emotion, tone, and pacing. Then generates any speech you want in their exact voice. 48kHz studio quality.

Type "A young woman, gentle and sweet voice" and it creates that voice from scratch. No reference audio. No voice actor. No recording. You describe a voice in words. It builds it.

2 billion parameters. Trained on 2 million hours of speech. 30 languages.

One command to install: pip install voxcpm

Here's what VoxCPM2 does:

→ Voice Design: describe any voice in words. Gender, age, tone, emotion, pace. AI creates it from nothing. No reference audio needed.
→ Voice Cloning: upload a short audio clip. AI clones the voice perfectly. Timbre, accent, rhythm, pacing.
→ Controllable Cloning: clone a voice AND control the emotion. "Slightly faster, cheerful tone." Done.
→ Ultimate Cloning: provide audio + transcript. Every vocal nuance faithfully reproduced.
→ 30 languages. Arabic, Chinese, English, French, German, Hindi, Japanese, Korean, Spanish, and 21 more. No language tags needed.
→ Context-aware. It reads the text and adjusts emotion and rhythm automatically. News sounds like news. Stories sound like stories.
→ Real-time streaming. RTF as low as 0.13 on an RTX 4090. Faster than playback speed.
→ Runs on 8GB of VRAM.
→ Fine-tune with 5 to 10 minutes of your own audio using LoRA. Build a custom voice model.
→ 48kHz output. Studio quality. No external upsampler needed.

Here's the wildest part:

On the Minimax-MLS voice similarity benchmark:

→ English: VoxCPM2 scores 85.4%. ElevenLabs scores 61.3%.
→ Chinese: VoxCPM2 scores 82.5%. ElevenLabs scores 67.7%.
→ Arabic: VoxCPM2 scores 79.1%. ElevenLabs scores 70.6%.

A free, open source model is producing more realistic voice clones than a service that charges up to $1,320/month.

Professional voice actors charge $250 to $1,000+ per project. AI voice platforms charge $5 to $100/month. Recording studios charge $200/hour.

This runs on your GPU. Locally. No API costs. No per-character pricing. No subscription. Free forever.

Already hit #1 on GitHub Trending. Built by OpenBMB and Tsinghua University. 2 billion parameters. Apache 2.0 License. Free for commercial use.

100% Open Source.

[paradyme @0xParadyme]

@dfinzer @openseafdn

[0xMarioNawfal @RoundtableSpace]

These are the 5 fastest growing GitHub projects this month:

1. openclaw/openclaw — +122K stars
Your own personal AI assistant that runs 24/7 on any OS.

2. obra/superpowers — +30.7K stars
Plug-and-play agentic skills/tools framework for AI agents.

3. ruvnet/RuView — +30.4K stars
Real-time human pose detection using only WiFi signals (no cameras).

4. 666ghj/MiroFish — +17K stars
Swarm intelligence engine that can predict anything.

5. moeru-ai/airi — +16K stars
Self-hosted AI companion with real-time voice chat—you fully own it.