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 - youtu.be/xcB_LF3cdqw • Spotify - open.spotify.com/episode/5d9… • Apple Podcasts - podcasts.apple.com/us/podcas… • Transcript - developing.dev/p/co-creator-… 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 workos.com/ 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

Yann Lecun published the most heretical AI paper of the year. He opens by arguing Magnus Carlsen isn't good at chess and only gets more unhinged from there. The Turing Award winner and his co-authors dropped a paper demanding the AI industry abandon its biggest obsession, AGI. Right now, everyone from Silicon Valley CEOs to politicians assumes AGI is the ultimate goal. A machine that can do everything a human can do. LeCun argues that this entire concept is a biological illusion. Humans do not possess "general" intelligence. We are highly specialized biological machines, tuned by evolution simply to survive in the physical world. We only think our intelligence is "general" because we are completely blind to the millions of cognitive tasks we are incapable of comprehending. Which brings us to the chess argument. Magnus Carlsen is the greatest human chess player in history. But compared to a modern computer? He is fundamentally terrible. Our belief that Carlsen is "good" at chess is pure human-centric bias. He isn't objectively good. He's just better than the rest of us, who are biologically awful at it. LeCun says we need to stop building AI to mimic human generality. Instead, he proposes a new North Star: SAI. Superhuman Adaptable Intelligence. Instead of trying to build a machine that mimics our flawed, biologically-limited brains, we need to embrace extreme specialization. SAI is about the speed of adaptation. It is an intelligence that can learn to exceed humans at any specific, economically important task. More importantly, it is designed to fill the vast skill gaps where humans are fundamentally incapable. Things like managing global energy grids in real-time. Or predicting complex molecular structures. The entire AI industry is obsessed with building a digital reflection in our own image. LeCun's paper is a brutal wake-up call.

XSLT 3.0 is much more modern than most developers think. It has: - maps - arrays - JSON support - streaming - higher-order functions - better package/module structure The gap is not the language. The gap is tooling and visibility.

There’s something magical about Copenhagen in the summer. I guess that is what made me stay here for 20 years already ☺️ youtu.be/UODb_l2j_PI

It's kinda funny that Chrome is proposing a new XSLT processing instruction into HTML, when they deprecated XSLT itself in October developer.chrome.com/blog/de… developer.chrome.com/docs/we…

Didn't feel this one as I was outside or driving. But I remember the one back in 2010 shook my bed while I was sleeping.

Excited to share what we are building -- Genie experience grounded in real-world street view. Try it out at labs.google/fx/projectgenie

A Linked Data browser is essentially a browser within a browser. And what do browsers have that make navigating across different sites easier? Tabs. So why shouldn’t a Linked Data browser support tabs too? Well, now it does 🙂 Coming in the next version of LinkedDataHub.

Ran git-of-theseus on 8.5 years of LinkedDataHub — 6181 commits. 38% of today's code was added in 2019 alone. From 2017 only 51 lines survive; from 2024, just 13. The PHP-based origins of this project go back as far as 2011: github.com/AtomGraph/Core-PH…

RT @NaturePortfolio: A study in @Nature_NPJ Aging provides evidence that treatment with psilocin, the active metabolite of the psychedelic…

I confronted the russian ambassador at Venice Biennale because no one else did. In the last 24 hours russia bombed city centres & a kindergarten. Dozens murdered in the streets. The russian pavilion here is filled with free champagne & art to whitewash their war crimes.

Build knowledge graphs from unstructured text using Claude for entity extraction, relation mining, deduplication, and multi-hop graph querying. platform.claude.com/cookbook…

The seminal The Semantic Web article in @sciam by @timberners_lee @oralassila and @jahendler was published 25 years ago www-sop.inria.fr/acacia/cour…

Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run Gemma 4 (26B A4B) fully offline with LM Studio & OpenCode to parse PDFs, ask questions, and build sites 100% locally.

LLMによるセマンティックウェブの更新。 RDF/OWLでガチガチに定義する「人力・硬式セマンティックウェブ」から、LLM時代の「軟式・AI支援型セマンティックウェブ」へ。 先日IPAから発表された分散データマネジメント技術 Open Dataspaces のコンセプトがまさにそういうものでした。

Interactive 3D #LinkedData visualisation coming in the next LinkedDataHub version 😎 Declarative (XSLT 3.0 IXSL) on top of a JS force layout. atomgraph.github.io/LinkedDa…

New post: "The Mythical Agent-Month" With coding agents, we are writing code faster than ever. But hands on keyboards was never the bottleneck, a lesson from Fred Brooks's 1975 classic that we keep painfully relearning. Will it be different now, or will we run into the same "brownfield barriers" as new agent-native software projects scale up? wesmckinney.com/blog/mythica…

sam altman watching ChatGPT hallucinate live on stage is the funniest thing i've seen all week the CEO of OpenAI, on stage, in front of everyone, watching his own AI just make things up in real time and his face says it all this is the guy telling us AGI is coming soon btw