Entertainment

The Myth, the Mythos and the Man – On my Om

The Myth, the Mythos and the Man – On my Om

💥 Check out this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: For a while I have been wondering why Anthropic named its most powerful AI model Mythos. A safety company. A company whose entire justification for existing is that someone needs to tell the truth about what is being built. That company chose a name that, in the oldest sense of the word, means a story you receive rather than verify. Mythos comes from ancient Greek. At its most basic, µῦθος meant “word” or “story.” Specifically the kind of story that carries meaning beyond the…
Read More
Pandoc – twenty-years-of-pandoc

Pandoc – twenty-years-of-pandoc

🔥 Discover this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: On August 3, 2006, I uploaded the first version of pandoc to my website, releasing it under the free GPL license. Pandoc 0.1 consisted of about 3000 lines of Haskell code, with no dependencies aside from GHC’s standard library. It could convert Markdown, reStructuredText, HTML, and LaTeX documents into any of these formats, plus RTF or S5. I had no idea at the time that this would just be the first of over two hundred releases over the next twenty years; that the project would…
Read More
Why did we wait so long for the bicycle?

Why did we wait so long for the bicycle?

🔥 Check out this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: The bicycle, as we know it today, was not invented until the late 1800s. Yet it was a simple mechanical invention. It would seem to require no brilliant inventive insight, and certainly no scientific background. Why, then, wasn’t it invented much earlier? I asked this question on Twitter, and read some discussion on Quora. People proposed many hypotheses, including: Technology factors. Metalworking improved a lot in the 1800s: we got improved iron refining and eventually cheap steel, better processes for shaping metal, and ability…
Read More
GitHub – leonickson1/Swiftlet · GitHub

GitHub – leonickson1/Swiftlet · GitHub

🔥 Read this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Run 35B and 80B Qwen models on ordinary Apple devices, including iPhones. Swiftlet is a Swift + Metal runtime for the Qwen3-Next and Qwen3.5/3.6 MoE hybrid model family. It keeps only the small dense core of a model resident in memory and streams the routed Mixture-of-Experts weights from storage on demand. The result: The 35B also runs on an iPhone 17 in about 2.5 GB of RAM, at about 1 tok/s today. As far as we know, that is the first time a model of…
Read More
Smaller, faster, safer: running Kimi and GLM at scale

Smaller, faster, safer: running Kimi and GLM at scale

✨ Read this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Workers AI runs inference for some of the best open models in the world on GPUs in Cloudflare data centers close to your users. Two of the most capable, and most demanding, are Moonshot's Kimi K-series and Z.ai's GLM. They are large, long-context, mixture-of-experts models, and they are wonderful to use. They are also very hard to serve efficiently because of memory constraints.We've written before about how we serve large models on Workers AI and about separating the prefill and decode phases of inference to…
Read More
The Dunning-Kruger Effect Is Probably Not Real | Office for Science and Society

The Dunning-Kruger Effect Is Probably Not Real | Office for Science and Society

✨ Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: I want the Dunning-Kruger effect to be real. First described in a seminal 1999 paper by David Dunning and Justin Kruger, this effect has been the darling of journalists who want to explain why dumb people don’t know they’re dumb. There’s even video of a fantastic pastiche of Turandot’s famous aria, Nessun dorma, explaining the Dunning-Kruger effect. “They don’t know,” the opera singer belts out at the climax, “that they don’t know.” I was planning on writing a very short article about the Dunning-Kruger effect…
Read More

ZX Spectrum System Tour: Text Mode

💥 Check out this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Now that we’ve taken a look at the kind of control that the Spectrum’s BASIC gives us over the hardware, it’s time to dip down into machine language and see what is offered to us there. There’s quite a bit more to cover in this realm, and I expect it’s going to end up spread out over quite a few posts. It is also quite a bit more fraught than on many other platforms, because Sinclair only paid minimal attention to exposing a consistent…
Read More
Windows XP 2002 for the Itanium: Unbridled rage

Windows XP 2002 for the Itanium: Unbridled rage

🚀 Explore this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Windows XP ia64 build 2600 in all it’s glory This is exciting news, there is a fork of Qemu that has workable Itanium Merced emulation, and it’s good enough to run Windows XP/2003! Enter Malte Kuhlmann‘s Qemu fork of syunnPC‘s AI Itanium infused Qemu fork. I’m sure at some point there will be some kind of merger. As always things move fast when they are interesting. At any rate, I had nothing but incredible issues getting this to build. I should have written the steps…
Read More
LLMs reward expertise

LLMs reward expertise

✨ Read this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleague or just hope that the answer to your exact problem was out there on the internet. Today, everyone can write sort-of-okay CSS by delegating the task to an LLM. LLMs make everybody into a generalist. Because of this, lots of people don’t think there’s any skill involved in working with LLMs. If you want the product that LLMs can deliver — PhD-level mathematics,…
Read More
After a 1,000% surge, the AI debt orgy can’t last forever as hidden debt explodes to $1.65 trillion

After a 1,000% surge, the AI debt orgy can’t last forever as hidden debt explodes to $1.65 trillion

💥 Read this must-read post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: AI’s insatiable need for debt has so far been matched by investors’ appetite for it, but they may turn nauseous on the belly-busting volumes coming from tech giants. The latest quarterly reports from AI hyperscalers show that their massive spending plans remain on track, with Amazon even raising its capital expenditure guidance. That means even more bond issuance is on the way after an already staggering debt orgy. The numbers paint a picture of a borrowing binge that’s bigger—and murkier—than it looks on paper. S&P…
Read More