language
Josh Ghent (opens on the publisher’s site)
joshghent.com
Why this topic matches
- heuristic “language” via Published content Source page (opens on the publisher’s site)
- heuristic “language” via Published content Source page (opens on the publisher’s site)
- heuristic “language” via Published content Source page (opens on the publisher’s site)
- heuristic “language” via Published content Source page (opens on the publisher’s site)
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A faster way to pick up a second programming language by learning the 20% of it you will actually use.
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Which programming language should you learn first? It matters far less than the noise suggests.
Josh Müller (opens on the publisher’s site)
joshmuller.ca
Why this topic matches
- heuristic “language” via Published content Source page (opens on the publisher’s site)
- heuristic “language” via Published content Source page (opens on the publisher’s site)
- heuristic “language” via Published content Source page (opens on the publisher’s site)
- heuristic “language” via Published content Source page (opens on the publisher’s site)
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A couple posts back I shared an experiment I was doing with some machine learning models, to make a novel tool for language learning. Specifically, I was interested in creating an Interlinear Audio Bible , where each verse in the Bible is read in two different languages — first in the listeners’ native language, then in the language they’re learning. As I explained in that post, the go
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The story of a workflow I developed to rapidly create alternating-language audio bible files in potentially 1,100+ languages.
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In technology, a protocol is a standard and agreed upon language that allows different systems to communicate with each other. It’s the idea underneath every layer of technology that is allowing you to be reading this right now. The web is based on protocols . It’s a paradigm that focuses on freedom, on accessibility, and on interoperability. Protocols grant the ability for anyone to a
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We have within each of our skulls an inbuilt technology that allows us to take our very thoughts — no matter how simple or complex — and through either rhythmic vibrations of air molecules propagating in waves between our mouths and our recipients’ ears, or through multiple series of lines of chaotic squiggles, dots, and shapes representing those vibrations in visual form, we have the capaci
Joshua Morris (opens on the publisher’s site)
joshuamorris.info
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Fernando Borretti’s “The Contracting Circle” asks why conversation, memory, and self-reflection stopped counting as signs of machine mind—and why, after real relationships with language models, dismissing a soul feels less obvious.
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Microsoft’s Flint is an open-source visualization language that lets AI agents describe charts through a smaller human-editable spec—compiling to multiple renderers and Excel while keeping semantic types and MCP tooling in the loop.
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Michael Stonebraker and Peter Baile Chen argue LLMs are not ready to let anyone reliably query enterprise data in ordinary language—because the dangerous SQL runs successfully, returns plausible numbers, and answers the wrong question with the appearance of authority.
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Petals distributes enormous language-model layers across volunteer peers so people can run Llama, Mixtral, Falcon, and BLOOM without hundreds of gigabytes of local GPU memory—arguing the idea is fascinating, but public swarms need much stronger privacy and trust before carrying anything sensitive.
