Subham Kumar @subhamft

Khushwant Singh😀

Here's my conversation all about @FFmpeg, the legendary open-source software powering most video on the Internet. In the episode, I talk with Jean-Baptiste Kempf and Kieran Kunhya. JB is lead developer of VLC and Kieran is FFmpeg contributor, codec engineer, and the person behind the now-infamous @FFmpeg account on X. VLC (@videolan), by the way, is also a legendary piece of open-source software: it's a video player that can open basically anything & has been downloaded over 6 billion times. I think both FFmpeg and VLC are two of the most important and impactful software systems ever created, both open source, and both created & maintained by volunteers: brilliant engineers from all walks of life. Thank you to everyone who contributed to FFmpeg and VLC, and in general to all engineers giving their heart & soul to building systems used by millions (or billions) of people, and often doing so not for money, status, or fame, but purely for the love of building great software and doing good for the world. Thank you to the builders! 🙏❤️ Shoutouts in this chat to @ID_AA_Carmack @karpathy @elonmusk @TimSweeneyEpic and everyone who is a contributor & fan of open source! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:17 - Introduction 5:35 - Weirdest things VLC opens 9:59 - How video playback works 19:20 - Video codecs and containers 30:07 - FFmpeg explained 51:07 - Linus Torvalds 55:46 - Turning down millions to keep VLC ad-free 1:10:04 - FFmpeg & Google drama 1:29:18 - FFmpeg developers 1:35:55 - VLC and FFmpeg 1:40:29 - History of FFmpeg 1:43:46 - Reverse engineering codecs 1:57:01 - FFmpeg testing 2:01:08 - Assembly code (handwritten) 2:25:26 - Rust programming language 2:34:42 - FFmpeg and Libav fork 2:43:04 - Open source burnout 2:50:51 - x264 and internet video 3:04:07 - Video compression basics 3:11:04 - CIA and fake VLC 3:21:39 - Ultra low latency streaming 3:39:07 - AV2 codec and video patents 3:48:59 - VLC backdoors 3:59:14 - Video archiving 4:05:51 - Future of FFmpeg and VLC

Tech teachers start teaching now how IShowSpeed streaming on places where even startlinks not working yet how his production is able to do all that which big productions not able to do yet 🔥🔥

@BrianRoemmele Why is that guy wiggling weirdly around a little kid? Anyway, here's some more Moonwalking before MJ. youtu.be/NFXN2cu-hzI?si…

I’m in love with this sentence: “The strongest version of you is buried under the habits you're afraid to break.”

I had an accident last week and took a shot to the eye. My old white optometrist got me in within 2 hours and told me I had a torn retina and I likely needed surgery. And told me not to wait. It could worsen and threaten my vision. The next morning, I got laser surgery done by an Indian doctor, and it was successful, and I'm doing fine. Every day I waited risked serious harm.

Michael Orthodox ☦ @Michaeldudufudu

3 months ago

How do Indian immigrants make my life better as an American?

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Is the drone stationary, or is it moving at 50 km/h? [📹 Jeremy Lynch]

A couple of months ago, DD News (yes, the sarkari one) reached out for my thoughts on AI. Didn’t expect this to turn into a genuinely world-class documentary. Link in first reply, worth your time. @DDNewslive @DDIndialive

Some Cinephiles asked me : “What’s the real role of film criticism—and who are its greatest voices?” Start here: • André Bazin’s groundbreaking What is Cinema? (the bible of realism) • Everything by his brilliant pupil François Truffaut • Godard on Godard • Pauline Kael’s I Lost It at the Movies • The essential writings of the great Bengali critic Chidananda Dasgupta These will sharpen how you see, feel, and think about cinema forever. 📽️

🚨 BREAKING: Someone just open-sourced software that sees you through walls using only WIFI signals. it’s called WiFi-DensePose. It maps your exact body pose in real-time. no cameras. no sensors. just your living room router. 100% Open Source.

It does appear that @Alibaba_Qwen’s Qwen3.5-27B has already achieved what DeepSeek V4 is rumored to be, a low cost near SOTA level LLM to shake up BigAI. A full unquantized version can run on a beefy home PC w/64GB of RAM at no API costs.

David Hendrickson @TeksEdge

4 months ago

🚨 Exciting Qwen3.5 Benchmark News: Indeed Qwen3.5-27B is the sleeper hit of the early spring OS releases. @ArtificialAnlys just released its results and puts Qwen3.5-27B just below the 397B variant! It scores better than Grok 4, Grok 4.1 Fast, and Claude 4.5 Haiku. The

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I downloaded and ran Qwen3.5-122B today in a 4-bit quant variant, locally on a GPU. Outstanding reasoning capabilities and really astonishing throughput. Getting about 22 t/s on text generation which is extraordinary for a 122B model on local workstation hardware. Coding tasks so far look strong. Clear reasoning capabilities in place, code overview creates strategies for achieving output goals. It finds errors and fixes them. It suggests improvements. This doesn't even beat Opus 4.6 on SWE bench but it's seriously good and LOCAL. I connected Claude Code to it so now I'm running Claude Code for free locally (and will connect with Opus if the local solution balks at anything).

You can now vibecode your own WisprFlow or Monologue alternative that runs completely locally on Apple Silicon using MLX-Audio-Swift 🔥 Check out this live transcription of @dwarkesh_sp interview with @karpathy using Qwen3-ASR-0.6B quantized to 4bit on a M3 Max. It also runs in realtime on a iPhone 15 Pro and iPad Pro M1. No cloud. No API keys. github.com/Blaizzy/mlx-au…

Prince Canuma @Prince_Canuma

4 months ago

Day 1 of 3 days of MLX: Introducing MLX-Audio-Swift SDK 🚀 A modular Swift SDK for voice agents and tasks on Apple Silicon built by @lllucas and yours truly. iOS, macOS, and visionOS developers can now build native apps with real-time, on-device audio intelligence: 🗣️

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🚨 BREAKING: Someone just made 70B parameter models run on a single 4GB GPU. It's called AirLLM. No quantization. No distillation. No pruning. Just raw 70B inference on hardware that costs less than a dinner. You can even run Llama 3.1 405B on 8GB VRAM. Here's how it works: → Decomposes the model layer-by-layer → Loads only one layer into GPU memory at a time → Runs inference, moves to the next layer → Prefetches the next layer while computing the current one → Supports 4-bit and 8-bit compression for 3x speed boost No cloud API. No $10K GPU. Just pip install airllm and go. Here's the wildest part: It supports almost every major model — Llama, Qwen, Mistral, ChatGLM, Baichuan, InternLM — and it auto-detects the model type. One line of code to load. One line to generate. Works on Linux, macOS (Apple Silicon), and even Google Colab free tier. Your old gaming laptop can now run the same models that needed an A100. 100% Open Source. Apache 2.0 License.

Demis Hassabis’s “Einstein test” for defining AGI: Train a model on all human knowledge but cut it off at 1911, then see if it can independently discover general relativity (as Einstein did by 1915); if yes, it’s AGI.

To leave you with one useful takeaway, I'm sort of stunned by the degree to which AI happens on X and YouTube (and nowhere else). There is massive alpha in navigating AI simply following the right people here. I follow too many to give the full list, but wanted to share some follows that have helped fill my X timeline with (mostly) useful AI content. Once you get to a critical mass, the X algorithm sort of takes over and you get other suggested follows. (please share any other helpful accounts in the replies!) My three favorite @karpathy @emollick @AndrewYNg Core follows @sama @ylecun @demishassabis @drfeifei @rowancheung @Ronald_vanLoon @antgrasso @GaryMarcus @alliekmiller @kaifulee @ID_AA_Carmack @fchollet @KirkDBorne @TamaraMcCleary @geoffreyhinton @erikbryn @timnitgebru @tunguz @AravSrinivas @OfficialLoganK @jeremyphoward @OpenAI @DeepMind @GoogleAI @MetaAI @NVIDIA @MIT_CSAIL

Brett Caughran @FundamentEdge

5 months ago

I've been pretty much following AI/LLM's since the Nov 30th, 2022 ChatGPT 3.5 release. I come from the finance world, which is one of the most difficult verticals for the deployment of AI, due to: 1) fiduciary demands for precision...90% accurate is 0% useful. It's all about the

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GeoGebra.org is a math website for learning functions, geometry, algebra, CALCULUS, statistics, and 3D math, like Desmos.com. It's a great site for kids to learn calculus.

Fact @Fact

5 months ago

Mathematicians have shown that calculus can be taught to kids as young as five years old.

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Woke up this morning remembering the greatest headline ever written.

I have a customer with a ton of PDFs they want an LLM on top of, but we're hitting context window limits Is there a high-level API that lets me upload a bunch of PDFs, and then provides a "tool" that I can give to an LLM?

Meghna Gulzar, the darling of the left loony cabal, was a minor when she rammed her car injuring a person. She was only 14! That person survived and could narrate his story. Read this decade old piece… newindianexpress.com/cities/bengalu…