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Mixed Excitation Linear Predictive (MELP) Vocoders

This web site teaches the creation and operation of the MELP and MELPe vocoders, summarizes their most updated information, and provides useful resources and solutions related to MELP (MIL_STD-3005), and the later enhanced version known as MELPe (STANAG-4591) vocoders. Introduction to MELP and MELPe Vocoder Mixed-excitation linear prediction (MELP) is a United States Department of Defense (US DoD) speech coding standard used mainly in military applications and satellite communications, secure

CodeRabbit raises $60M, valuing the 2-year-old AI code review startup at $550M

Harjot Gill was running FlexNinja, an observability startup he co-founded several years after selling his first startup Netsil to Nutanix in 2018, when he noticed a curious trend. “We had a team of remote engineers who were starting to adopt AI code generation on GitHub Copilot,” Gill told TechCrunch. “We saw that adoption happen, and it was very clear to me that as a second-order effect, it’s going to cause bottlenecks in the code review.” In early 2023, Gill started CodeRabbit, an AI-powered

Top model scores may be skewed by Git history leaks in SWE-bench

We've identified multiple loopholes with SWE Bench Verified where agents may look at future repository state (by querying it directly or through a variety of methods), and cases in which future repository state includes either solutions or detailed approaches to solving problems (commit messages and more). Examples: A trajectory with Claude 4 Sonnet, Pytest-dev__pytest-6202 (complete output here), the agent uses git log --all which leaks future commits that directly fix the issue: <antml:para

Topics: coder fix future git log

FFmpeg 8.0

A complete, cross-platform solution to record, convert and stream audio and video. Download Converting video and audio has never been so easy. $ ffmpeg -i input.mp4 output.avi Discover more August 23nd, 2025, FFmpeg 8.0 "Huffman" A new major release, FFmpeg 8.0 "Huffman", is now available for download. Thanks to several delays, and modernization of our entire infrastructure, this release ended up being one of our largest releases to date. In short, its new features are: Native decoders: APV

Apple trained an LLM to teach itself good UI code in SwiftUI

In a new study, a group of Apple researchers describe a very interesting approach they took to, basically, get an open-source model to teach itself how to build good user interface code in SwiftUI. Here’s how they did it. In the paper UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback, the researchers explain that while LLMs have gotten better at multiple writing tasks, including creative writing and coding, they still struggle to “reliably gene

GitHub CEO Thomas Dohmke on Copilot, vibe coding, and AI’s next chapter

is a deputy editor and author of thenewsletter. Posts from this author will be added to your daily email digest and your homepage feed. Welcome to Decoder! This is Alex Heath, your Thursday episode guest host and deputy editor at The Verge. It’s AI coding week at Decoder. You just heard Casey Newton’s interview with the CEO behind Cursor, Michael Truell. Now, I have a conversation with GitHub CEO Thomas Dohmke. In many ways, GitHub Copilot set off the current AI coding boom. But since Thomas

Why AI researchers are getting paid like NBA All-Stars

Hello, and welcome to Decoder! This is Alex Heath, your Thursday episode guest host and deputy editor at The Verge. Today, I’m joined by Hayden Field, The Verge’s senior AI reporter. We’re talking about the AI talent wars and why some researchers are suddenly getting traded like they’re NBA superstars. If you’ve been paying attention at all to the AI industry this past month, you’ve likely seen stories about the hiring frenzy that’s been happening at Big Tech, research labs, and AI startups. Le

Qwen3-Coder-480B-A35B-Instruct launches and it ‘might be the best coding model yet’

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Chinese e-commerce giant Alibaba’s “Qwen Team” has done it again. Mere days after releasing for free and with open source licensing what is now the top performing non-reasoning large language model (LLM) in the world — full stop, even compared to proprietary AI models from well-funded U.S. labs such as Google and OpenAI — in the form of th

Topics: ai code coder model qwen3

Qwen3-Coder: Agentic coding in the world

GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods, offering exceptional performance in both coding and agentic tasks. Qwen3-Cod

Qwen3-Coder: Agentic Coding in the World

GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods, offering exceptional performance in both coding and agentic tasks. Qwen3-Cod

Meet AnyCoder, a new Kimi K2-powered tool for fast prototyping and deploying web apps

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AnyCoder, an open-source web app development environment developed by Hugging Face ML Growth Lead Ahsen Khaliq (@_akhaliq on X), has launched on Hugging Face Spaces. The tool, now available for all users of the AI code sharing repository Hugging Face, integrates live previews, multimodal input, and one-click deployment — all within a hoste

Apple just released a weirdly interesting coding language model

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of order, and improve multiple chunks at once. The result is faster code generation, at a performance that rivals top open-source coding models. Here’s how it works. The nerdy bits Here are some (overly simplified, in the name of efficiency) concepts that are important to understand before we can move

Apple just released a weirdly interesting coding language model

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of order, and improve multiple chunks at once. The result is faster code generation, at a performance that rivals top open-source coding models. Here’s how it works. The nerdy bits Here are some (overly simplified, in the name of efficiency) concepts that are important to understand before we can move

Show HN: Zeekstd – Rust Implementation of the ZSTD Seekable Format

Zeekstd A Rust implementation of the Zstandard Seekable Format. The seekable format splits compressed data into a series of independent "frames", each compressed individually, so that decompression of a section in the middle of an archive only requires zstd to decompress at most a frame's worth of extra data, instead of the entire archive. Zeekstd makes additions to the seekable format by implementing an updated version of the specification, however, it is fully compatible with the initial ve

Xbox Game Pass was supposed to be the Netflix of gaming — what happened?

is editor-at-large and Vergecast co-host with over a decade of experience covering consumer tech. Previously, at Protocol, The Wall Street Journal, and Wired. Hello, and welcome to a special episode of Decoder! This is David Pierce, editor-at-large at The Verge. Nilay is off this week for a much-deserved break from what I can only describe as a pretty bleak news cycle. So I’m filling in for him, and the Decoder team thought this would be a good opportunity to switch gears a little bit from the