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inter human agreement

about ai, natural language processing, machine learning, and how these connect with the real human world

interhumanagreement.substack.comSource feed ↗9 episodes

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Read 10 days ago and current, but nothing has been published for 21 months.

Latest episodes

LLM output can take over your computer

Sounds dramatic, it's pretty fun. And no, this isn't an x-risk thing

FakeToxicityPrompts: Automatic Red Teaming

Modern LLMs are disappointingly easy to trick into toxicity

Existing threats for an OWASP LLM vulnerability top-n

Shaping LLM security - what vulnerabilities are out there already today, and how can we mitigate them?

The Language Model Vocabulary Gap

How demons creep in, and why magic maybe isn't a terrible metaphor

Kappa scores considered harmful

While popular, this data quality measure has some critical flaws, that have been known for a long time, but are often ignored.

Words for differences in meaning, pronunciation, and spelling

We can describe words that have similar spellings or meanings using special terms. These terms are things like heteronym, homograph…

Four Ways To Spot Fake News Accounts.

Catching lies can be easy, but how can you spot who is paid to tell them?

Pathology of a Fake News Story

How a neutral piece of coverage on the Syrian war is reframed and distributed to misinform the public— a step by step explanation.

Google Scholar Metrics revisited: normalising for publication count

Recently, Google Scholar updated their metrics. There was a bit of surprise in the computational linguistics community, as there is every…