"Coding" was never the source of value(twitter.com)

20 points by mfiguiere 2 years ago | 2 comments

Samsung running a TensorFlow lite model on 960x540 image to track you(twitter.com)

272 points by mashally 1 day ago | 176 comments

An X post reporting that Samsung Tizen TVs run an INT8 AlexNet TensorFlow Lite model on 960x540 screen captures every few seconds to identify which game is being played.

Fired by Google for creating the Google workspace CLI(twitter.com)

575 points by justinwp 4 months ago | 339 comments

An X post by Justin Poehnelt saying Google fired him after he created the viral Google Workspace CLI, and describing internal reactions and legal concerns.

LLMs as Compilers(resync-games.com)

28 points by kadhirvelm 1 year ago | 38 comments

Sorry, but a new prompt for GPT-4 is not a paper(twitter.com)

225 points by georgehill 2 years ago | 150 comments

Wikidata, with 12B facts, can ground LLMs to improve their factuality(twitter.com)

195 points by raybb 2 years ago | 78 comments

We need to tell people ChatGPT will lie to them, not debate linguistics(simonwillison.net)

474 points by simonw 3 years ago | 373 comments

Simon Willison blog post arguing that people should be plainly told ChatGPT lies, rather than debating terms like hallucination.

LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)

336 points by CharlesW 2 years ago | 121 comments

MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.

There is minimal downside to switching to open models(marble.onl)

370 points by amarble 4 months ago | 298 comments

Blog essay by Andrew Marble arguing there is little downside to switching from proprietary AI models like Claude to open models, comparing it to adopting Linux.

The problem is not AI code, but not knowing about system architecture or intent(ssp.sh)

317 points by zazuke 28 days ago | 204 comments

A short note in a personal knowledge base arguing that the real problem with AI-generated code is that teams no longer understand their system architecture or the intent behind design decisions.

LLMs Aren't Inevitable(deadsimpletech.com)

27 points by rizsyed1 16 days ago | 32 comments

Blog post by Iris Meredith on deadSimpleTech arguing that AI and LLM adoption is not inevitable, calling the claim a thought-terminating cliché.

Why LLMs can't really build software(zed.dev)

321 points by srid 1 year ago | 196 comments

A Zed blog post by Conrad Irwin arguing that LLMs cannot really build software, drawing on his experience of what effective software engineers do.