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Corey Leigh Latislaw

@colabug.bsky.social

American in London. Feminist. Engineering Executive. Creative technologist, social pollinator, keynoter, and sketchnoter.

473 Posts597 Follower994 Folgt
Tammy Komoff@tammykomoff.bsky.social · 2w ago

🌳 The Tree Library in Sweden is a 217-volume collection of wooden books. 📖 Each volume is dedicated to a different tree species and bound in that tree's own bark. Its pages feature the tree's leaves, mosses, lichens, and other natural materials. A very cool way to document nature.

The tree book collection. Several books, their spines made of the bark, the front and back covers of the wood.
Corey Leigh Latislaw@colabug.bsky.social · 2w ago

I was always like "these idiots were so stupid and extractive that they deserved it" until I read The Worst Hard Time. en.wikipedia.org/wiki/The_Wor... It was interesting to consider how the government incentivized people who had no idea what they were doing during the depression.

The Worst Hard Time - Wikipedia

en.wikipedia.org

Jessica Kant@jessdkant.bsky.social · 2w ago

A lot of people don’t realize the dust bowl wasn’t a natural phenomenon. It happened when agrobusiness interests dramatically transformed the plains without regard for drought, and created vicious dust storms that choked whole families to death. That’s what I think of when I read about data centers.

Richard W. Bown is 📝 editing@bownie.bsky.social · 3w ago

“I’ve consistently seen that developers who take steps to advocate for more humane development practices have a greater sense of clarity about their days and greater peace of mind, no matter how imperfect their organizations.” Can attest

Richard W. Bown is 📝 editing@bownie.bsky.social · 3w ago

And, I know this to be true: “It’s easy to think change must flow from the top and that only leaders and organizational decision-makers can make it happen. But I’d like to suggest that every person working in technology has a sphere of influence, often greater than they know.”

@gquaggiotto.bsky.social · 4w ago

The central design question for anyone building, commissioning, or funding deliberative technology is not whether AI produces a recommendation faster, but whether it leaves participants, facilitators, and the wider institutional ecosystem more capable at the end of the process than at the start

Jason Cohen@asmartbear.com · last mo.

If you prepare for one future and it doesn’t happen, some or all of that prep is wasted. If you prepare for reactivity, speed, facing the truth, trying, resilience, long-term sustainable effort… then you’re as prepped as possible for any future.

Mel Andrews@bayesianboy.bsky.social · 2mo ago

Here is work showing some of this effect. It is important, however, to see the form that this takes ‘in the wild’ in terms of the erasure of actual women-led scholarship in LLMs by multiple modalities, so I intend to run some bibliometrics myself and put the results out. arxiv.org/abs/2508.02740

Who Gets Cited? Gender- and Majority-Bias in LLM-Driven Reference Selection

Large language models (LLMs) are rapidly being adopted as research assistants, particularly for literature review and reference recommendation, yet little is known about whether they introduce demogra...

arxiv.org

Mel Andrews@bayesianboy.bsky.social · 2mo ago

When generating bibliographies, the models not only omit female authors or misattribute women’s work to male authors; they will also produce lists of works cited in which all work by men is attributed to its authors, while work by female scholars is simply left unattributed.

Mel Andrews@bayesianboy.bsky.social · 2mo ago

When utilized in literature review, LLMs consistently 1. fail to mention female authors in female-led literatures, 2. insist that men are more influential or more heavily cited when this is contradicted by objective citation counts, and 3. attribute women’s work to hallucinated male scholars.