- Open Source: GLM-OCR (#1 doc understanding), Qwen3-Coder-Next (70%+ SWE-Bench), Intern-S1-Pro (1T scientific), Step 3.5 Flash (350 tok/s)
- Agentic Corner: Clawdbook, Moltbook, 4Claw, MoltChurch — AI Psychosis is taking over!
- Big CO: Codex App (500K downloads in 2 days)
- Vision & Video: Grok Imagine 1.0 (10s video + audio), Kling 3.0
- Voice & Audio: MiniCPM-o 4.5 (full-duplex), Voxtral Transcribe 2, ACE-Step 1.5 (music in 10s)
- Buzz: WeaveHacks 3 hackathon recap
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| diff --git a/start.js b/start.js | |
| index 8c4a278..744e793 100644 | |
| --- a/start.js | |
| +++ b/start.js | |
| @@ -1,116 +1,90 @@ | |
| -const os = require("os"); | |
| const path = require("path"); | |
| -function pickFrontendHost() { | |
| - const nets = os.networkInterfaces(); |
- Open Source: GLM-OCR (#1 doc understanding), Qwen3-Coder-Next (70%+ SWE-Bench), Intern-S1-Pro (1T scientific), Step 3.5 Flash (350 tok/s)
- Agentic Corner: Clawdbook, Moltbook, 4Claw, MoltChurch — AI Psychosis is taking over!
- Big CO: Codex App (500K downloads in 2 days)
- Vision & Video: Grok Imagine 1.0 (10s video + audio), Kling 3.0
- Voice & Audio: MiniCPM-o 4.5 (full-duplex), Voxtral Transcribe 2, ACE-Step 1.5 (music in 10s)
- Buzz: WeaveHacks 3 hackathon recap
Prepared by Wolfred 🐺
Inworld AI releases TTS-1.5, the fastest production-grade text-to-speech model that's 4x faster and 25x cheaper than competitors (X, Blog, Press Release)
- Executive summary:
- Inworld AI just dropped TTS-1.5 today, and this is a pretty significant release for anyone building voice-enabled applications. They're already sitting at number one on the Artificial Analysis TTS leaderboard based on blind user tests, and with this update they've achieved sub-250 millisecond latency for their Max model and under 130 milliseconds for Mini - that's 4 times faster than their previous generation. The quality improvements are substantial too: 30% more expressive s
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| import base64 | |
| import os | |
| from openai import OpenAI | |
| import pyaudio | |
| import wave | |
| import weave | |
| os.environ["WANDB_API_KEY"] = "" # Set your wandb API key here to track audio | |
| client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY")) |
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| import base64 | |
| import os | |
| from openai import OpenAI | |
| import pyaudio | |
| import wave | |
| import weave | |
| client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY")) |
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| 1 | |
| 00:00:00,520 --> 00:00:01,360 | |
| Hello everyone. | |
| 2 | |
| 00:00:01,600 --> 00:00:03,640 | |
| I am Sun Yueyue from the Department of Physics at Southeast University. | |
| 3 | |
| 00:00:04,120 --> 00:00:06,920 |
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| (function() { | |
| const faviconDataUri = "data:image/png;base64,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 |
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| ['absl-py==1.4.0', | |
| 'affine==2.4.0', | |
| 'aiohttp==3.8.1', | |
| 'aiosignal==1.3.1', | |
| 'analytics-python==1.4.post1', | |
| 'anyio==3.7.1', | |
| 'anytree==2.8.0', | |
| 'argcomplete==1.10.3', | |
| 'argon2-cffi-bindings==21.2.0', | |
| 'argon2-cffi==21.3.0', |
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| import traceback | |
| import openai | |
| import sys | |
| # list models | |
| models = openai.Model.list() | |
| def baka(error, character="tsundere",): | |
| exc_type, exc_value, exc_traceback = sys.exc_info() | |
| traceback_list = traceback.extract_tb(exc_traceback) |
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