Trista had never played tabletop Dungeons & Dragons before, so I recently dusted off some old skills and ran a little four player game for her.
I never learned modern 5e rules, and I wanted to keep it simple, so I initially considered going full retro with the original Little Brown Book rules. That was a little too crude, so I wound up with the Rules Cyclopedia version, harkening back to my D&D basic set in the late 70s.
The big change from my old games is that Trista and the other players were already skilled Warhammer figure painters, which meant everyone painted their own figure and they collaborated to give me a full menagerie of painted monsters for the game. The expense of lead miniatures and lack of art talent in my early gaming groups had always meant unpainted player characters and cardboard chits for the monsters.
I had a little bit of a bias towards “it is a game of imagination!”, but visual aids are good, actually.
Everyone had fun, and I may be on the hook for doing this once a quarter.
Wait a min... 🤔
1. Anthropic files to go public (same time as SpaceXAI/OpenAI).
2. Need to pump up IPO price
3. Want to show Mythos to everyone but too big/expensive to run.
4. xAI needs to show revenue while sitting on 50k+ idle GPUs.
5. xAI/ Anthropic jump in bed together
6. Anthropic employees revolt because they believe this is existential risk to humanity
7. Dario told if he doesn't do it investors will kick him out, so he compromises and only releases the model with untested overly strict safeguards
8. Only serve Fable 5 until June 22nd (IPO date), then get out of deal with xAI and pull model back to highest paying customers
9. All 3 companies offload $4T of companies to retail investors, 401ks funds and ETFs.
10. ???
11. Profit
i hooked my whoop to my work calendar to find which coworker gives me the most stress 🚨
thanks to fable, I reverse engineered whoop to pull per minute heart rate. nd matched spikes with cal events and attendees
I now have a leaderboard and I think about it daily.
few info masked for obvious reasons ;)
@midudev A mi una pésima manager que tuve me dijo: "sabemos que tu remuneración es mucho menos de lo que te mereces, pero no podemos hacer nada, deberías buscar otra cosa si eso" .
No podía por motivos de visado. La empresa lo sabía.
A la vez contrataban por encima de mi salario.
¿Es válido aquí en España el volcado policial de los datos de un teléfono hecho en otro país? ¿Por qué el juez Calama ha pedido a las autoridades norteamericanas autorización para usarlos en el caso de Zapatero? Menos de minuto y medio de respuestas, para el que interese.
He entrevistado a Robert Amsterdam, el abogado que tras enfrentarse a estados como Uganda, Rusia o Tanzania, está peleando con la Agencia Tributaria española, que describe como un órgano incompatible con una democracia por sus "tácticas de extorsión.
https://t.co/g520MzRkm2
Pero que coj..... vamos a ver, la gente quiere a Michael Olise, a Erling Haaland, quieren centro del campo... nadie ha pedido a la araña y menos por ese dinero... estamos tontos? Lo dice la semana pasada y pierde.
Italia endurece su legislación contra la okupación: penas de 2 a 7 años para quien ocupe una vivienda ajena.
Además, se agiliza la restitución del inmueble al propietario, con intervención urgente y control judicial.
En Italia se protege a la víctima, en España al delincuente.
A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.
He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.
His name is Fabrice Bellard.
Here is the story, because almost nobody outside the systems programming world knows what one man has built.
Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.
In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.
Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.
He was not done.
In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.
He kept going.
In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.
In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.
Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.
Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org
He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.
A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.
He is still shipping.
Simon Peyton Jones is the co-creator of Haskell (pure functional programming language) and I interviewed him about functional programming, why it matters, and his thoughts on other programming languages.
In this episode:
• Useful and useless programming languages
• Rust vs C
• Haskell vs OCaml
• Why functional programming matters
• Static languages and their value for LLMs
• Why Excel is his 2nd favorite programming language
Where to watch:
• YouTube - https://t.co/72aR1f1a9D
• Spotify - https://t.co/ltqlAmVjYQ
• Apple Podcasts - https://t.co/jOYDGtGVnt
• Transcript - https://t.co/bRFoE5uyhD
Thank you to the sponsor of this episode for supporting my work:
• WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://t.co/y8noBzFEem
Chapters:
00:00 - Intro
00:39 - What functional programming is
09:18 - Downsides of functional programming
10:53 - Specialized hardware for functional programming
21:47 - Haskell is useless
25:59 - Rust vs C
28:26 - Haskell vs OCaml
35:26 - Side effects in Haskell
44:26 - Type systems
57:30 - How the Haskell compiler works
01:04:35 - Why Haskell is talked about more than used
01:09:07 - Avoiding success at all costs
01:11:12 - LLMs and programming languages
01:13:57 - New programming language design
01:15:59 - Should students continue to learn programming
01:22:33 - Why Excel is is 2nd favorite programming language
01:25:04 - Advice for his younger self