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Articole: 15

  1. CT No.260: News has no memory

    (The Content Technologist)

    Previously in The Content Technologist: Techno-optimism vs. legacy media.

  2. CT No.259: Mass audience surveillance: Palantir + USA Today Co.

    (The Content Technologist)

    Previously in The Content Technologist: Traffic for traffic's sake is a bad way to make money (2019).

  3. Baby's umpteenth tradeshow: How the news publishing industry is surfing the AI tide

    (The Content Technologist)

    One of my favorite recurring magazine feature microgenres is the one where a writer attends their first-ever industry conference or tradeshow.

  4. How to set strategic priorities in an extended crisis

    (The Content Technologist)

    Apologies to email newsletter subscribers who received this newsletter twice.

  5. Billy Joel mathletics: How query fan-out identifies and interprets our weird world of words

    (The Content Technologist)

    This is the fifth essay in an ongoing series about the technologies that underpin natural language understanding (NLU).

  6. Perception, intention, and poetic license: What is the attention mechanism that powers LLMs?

    (The Content Technologist)

    This is the fourth essay in an ongoing series about the technologies that underpin natural language understanding (NLU).

  7. How does AI make sense of language?

    (The Content Technologist)

    How does AI work?

  8. Disambiguation, sliding doors, hallucinations, and madeleines: How transformers process, clarify, and produce language

    (The Content Technologist)

    This is the third in a series about the technologies that underpin natural language understanding (NLU).

  9. Tokens and vector embeddings: The first steps in calculating semantics for LLMs

    (The Content Technologist)

    This is the second post in an ongoing series about the mechanisms behind how natural language understanding (NLU) reads content online.

  10. When words and math collide: Old-school tried and true language processing algorithms

    (The Content Technologist)

    From the earliest days of school, we're trained to think about math and language very differently.

  11. The front door to discovery: How natural language processing is the key to visibility in LLMs

    (The Content Technologist)

    A decade ago, my colleague explained how natural language processing (NLP) was supposed to work.

  12. A digression on trust: Slop blogs and the accomplished UX strategist who doesn't exist

    (The Content Technologist)

    The open web is a Fyre Festival right now; if you look in the right place, you might find a wet cheese sandwich.

  13. How SEO ends

    (The Content Technologist)

    "It's very easy, under conditions of artificial but continually escalating obligation, to find yourself organizing your life around practices you find ridiculous and possibly indefensible.

  14. CT No.235: Placing bets

    (The Content Technologist)

    I started writing several newsletters in the past month and finished zero.

  15. A guide to content business models: Choose your platform like a professional

    (The Content Technologist)

    This essay was originally sent as an email newsletter on April 8, 2021 with the subject line "CT No. 76: Platform like a content professional" and a review of newsletter organizer Stoop Inbox.