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Regulatory hurdles, industry objections and legal fights have gone on for decades over traditional tobacco. What’s in store for the next generation of smoking?

knowablemagazine.org/content/a…

#KnowableMagazine
#ScienceMastodon






Took updated measurements and traced out the Quinn Vest pattern, will be grading between three sizes to get a decent fit. AND I'm going to make a toile.

The linen I want to use for the final garment is too spendy to risk a bad fit.

Plus I want to do fairly elaborate embroidery on both front panels, so it's not like this is going to be a garment that is done quickly.

Embracing the slow...

#SlowFashion #HobbitEra #Sewing #WIP




LLMs don’t know your PDF.
They don’t know your company wiki either. Or your research papers.

What they can do with RAG is look through your documents in the background and answer using what they find.

But how does that actually work? Here’s the basic idea behind RAG:
:blobcoffee: Chunking: The document is split into small, overlapping parts so the LLM can handle them. This keeps structure and context.
:blobcoffee: Embeddings & Search: Each part is turned into a vector (a numerical representation of meaning). Your question is also turned into a vector, and the system compares them to find the best matches.
:blobcoffee: Retriever + LLM: The top matches are sent to the LLM, which uses them to generate an answer based on that context.

#llm #largelanguagemodel #ai #ki #rag #tech #technology #vector #datascience #vectorsearch #vector #machinelearning



Josh Johnson: Trump VS MAGA? The Epstein Crashout Explained littlegreenfootballs.com/artic…


Democrats' 2026 Rallying Cry Is Staring Them in the Face (Lauren Egan/The Bulwark)

thebulwark.com/p/democrats-202…
memeorandum.com/250720/p65#a25…





A little late on this one. There is already a whole subreddit of people with AI “partners”
RE: bsky.app/profile/did:plc:iiofy…