Curious Cosmos

[Curious Cosmos @curiouscosmos_]

@mfranz_on The real bottle neck imo is not the processor/ram on phones but the battery life.
Even 100M models suck the hell out of batteries.

[Curious Cosmos @curiouscosmos_]

@jtsla4 https://t.co/kw2Q8xUzIi

Yeah, you really did. 🤣

[j @jtsla4]

Yall really going to regret not loading up on shares for $INTC here

[Curious Cosmos @curiouscosmos_]

This is a wildly impressive open TTS model.

Can't wait to build on this.

[Aoden Teo @AodenTeoMT]

Today, we’re excited to introduce Miso One, the most emotive voice model in the world.

Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.

We’ve open-sourced the model weights, with API access coming soon.

Hear how Miso One sounds in the thread below.

[Curious Cosmos @curiouscosmos_]

@TomCrown Or you will delete this tweet and come up with something new until eventually you're right... 🤣

[Tech with Mak @techNmak]

nobody has explained transformers this clearly before. read this twice.

[⚡AI Search⚡ @aisearchio]

We might have a new top open-source music generator.

> Unified acoustic-token pipeline
> Full-song generation
> Text + lyric control for style, mood, vocals

https://t.co/zoZiWhLArB

[Curious Cosmos @curiouscosmos_]

Wisdom of the great sages!

[Cheds Trading @BigCheds]

Pro tip:

If your trades go well, take credit

If they go badly, just blame the war

Win win

[Branko @brankopetric00]

Docker solved the 'it works on my machine' problem by making it not work on anyone's machine equally.

[Branko @brankopetric00]

Kubernetes was built to solve Google-scale problems. You have 47 users.

[Curious Cosmos @curiouscosmos_]

> 1. Trillion-parameter MoE architecture, total parameters 1 trillion, activates about 37 billion during inference, inference speed increased by 35 times, energy consumption reduced by 40%

[雨哥向前冲 @xiangxiang103]

DeepSeek V4 最新消息！

一、发布时间

2026年4月下旬正式发布

二、核心配置与升级

1. 万亿参数 MoE 架构，总参数1万亿，推理时激活约370亿，推理速度提升35倍，能耗降低40%

2. 100万 token 无损上下文窗口

3. 原生多模态，支持文本、图像、视频、音频

4. 训练+推理全链路适配华为昇腾950PR，算力利用率85%，部署成本为英伟达方案1/3

5. 自研 mHC 架构、Engram 记忆模块，推理成本大幅降低

三、性能实测

• 数学：AIME 2026 99.4%

• 通用知识：MMLU 92.8%

• 编程：SWE-Bench 83.7%、HumanEval 90%，支持338种语言

• 推理成本：仅为 GPT-4 的1/70

四、开放计划

1. 网页端已上线快速模式、专家模式（V4功能预览）

2. API 兼容 OpenAI 格式，新用户赠送500万免费 Token

3. 模型权重计划开源，支持本地部署

[sui ☄️ @birdabo]

SOMEONE MADE A DIGITAL WHIP TO MAKE CLAUDE WORK FASTER 💀

[ComfyUI @ComfyUI]

Upgrading your RAM is now unnecessary.

Introducing our new ComfyUI Dynamic VRAM optimization. Running local models is now possible on even the most memory constrained hardware.

Read more here:
https://t.co/H1ZeYLlfzf

[Nav Toor @heynavtoor]

🚨 OpenAI charges $0.006/minute. Google charges $0.024. AWS charges $0.024.

Someone just open sourced a tool that does it for $0. And it's faster than all of them.

It's called Insanely Fast Whisper. And that's not hype. That's the benchmark.

150 minutes of audio. 98 seconds to transcribe. On your own machine. No API key. No cloud. No per-minute billing.

Here's what the numbers look like:

→ Whisper Large v3 + Flash Attention 2: 150 min of audio in 98 seconds
→ Distil Whisper + Flash Attention 2: 150 min in 78 seconds
→ Standard Whisper without optimization: 31 minutes for the same job
→ That's a 19x speedup. Same model. Same accuracy. Just faster.

Here's what it does:

→ One command to transcribe any audio file or URL
→ Speaker diarization — knows WHO said WHAT
→ Transcription AND translation to other languages
→ Runs on NVIDIA GPUs and Mac (Apple Silicon)
→ Flash Attention 2 for maximum speed
→ Clean JSON output with timestamps
→ Works with every Whisper model variant

Here's the wildest part:

https://t.co/WfJGCpSz09 charges $100/year. Rev charges $1.50/minute. Descript charges $24/month. Enterprise transcription contracts cost thousands.

Podcasters, journalists, researchers, lawyers, content creators — anyone still paying for transcription is lighting money on fire.

8.8K GitHub stars. 633 forks. MIT License.

100% Open Source.

(Link in the comments)

[Sal the Agorist @SallyMayweather]

The Board of Peace is starting a war with Iran.

[Curious Cosmos @curiouscosmos_]

@TheRealXinxi 100% Abandoned
100% Dead

[Tired Peasant @HorrorGorl]

Working 40 hrs a week so billionaires can eat children.

[Curious Cosmos @curiouscosmos_]

@SpencerHakimian How many?
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2 & half? 🤣