CIRCLE WITH A DOT

@TindrasGrove @wendynather @chillybot @paul_ipv6 @boblord Must.. reinvent.. wheel!

@chillybot @paul_ipv6 Meanwhile in cybersecurity we get reports like “scattered spider vished the mfa and then laterelled and no one could have foreseen it.” Cc @boblord @wendynather

@chillybot @paul_ipv6 Thank you!

@wendynather I mean, what room?

@wendynather Where are you?

@cstross I think it means spy on and harass your readers, they way they’re harassing you?

Hey, I've found some wasteful use of taxpayer dollars! Is there a way for me to report this to DOGE?

New York, North Carolina slam Trump administration's deal to kill offshore wind projects | CBC News

The Trump administration will pay $1 billion to a France's TotalEnergies to walk away from two U.S. offshore wind leases as the administration ramps up its campaign against offshore wind and other renewable energy.

CBC (www.cbc.ca)

@munin @tychotithonus @nyanbinary Yes, and I’ve had interns who were under 18

@wendynather Wendy, I'd really like 15 minutes to meet to hear about your challenges with third pary AI enabled Clawd identity risk management detection strategies.

@todb Are those a collectible or a game?

@mattblaze @dalfen @violetmadder @mkb @Bandersnatch @DemocracyMattersALot Commercial software comes with a support model, and competent support is expensive. Competent support with massive demand for a few days a year is even more expensive.

You might want source availability, verifiable builds and more, but the economics of “anyone can use it” that comes with Open Source (tm) is a very very hard tradeoff.

@ithoughtisawa2 Yes. I mean, you save money either way, but the opex dropping is certainly easier to see!

RE: https://infosec.exchange/@metacurity/116238661392270083

Every data store is a data breach waiting to happen.

RE: https://mastodon.world/@paninid/116228967004435439

11 Reasons Buzzfeed will fail! #6 will SHOCK you!

If I were to recommend one cryptography book for implementors in 2026, would it be:

@marick Is this about editions? Book data is really interesting, there's ISBNs, which are about royalties, and UPC, which are about sales, and several cataloging-oriented ids, any of which mutate independently.

Amazon says the same (2008) of WFDT: https://www.amazon.com/Women-Fire-Dangerous-Things-Categories-ebook/dp/B009PS2RXG?dib=eyJ2IjoiMSJ9.jl3pVvJbCBNn9EzyMETwoCCRGekqMkuI0w4vNIFmpffnSnMGM7CvrjB8RHSBPOUr1bQjMXAZYIiZ7cd612IMvfrhim_9VHtwaTb0SxFNZDhMLZpaugMxH0hyafLQ8TzrEgDETaE7BZXPmImzpGTXk9rGvuJtfTVG6cQrxarmVgYL5b0ARVGFdNNRHWP047B8NumZJMIW6ivgLFoAIrEO-aVlJbm39yuzYQMQ28QmakU.6C6ViAUdCI74Vo19IgMiZyNhswnIKSGpy2YzLt_S1VM&dib_tag=se&keywords=Women%2C+Fire%2C+and+Dangerous+Things&mfadid=adm&qid=1773160908&sr=8-1#

@CVE_Program Oh, wait, really, VulnCon is not the FIRST annual conference!

If only we had, I dunno, a Conference and Venues Enumeration, then people wouldn't make these mistakes!

I think the answer I wanted is "cargo install inspector-gguf"

@Tarah Yes, but you're busy finishing $thing, and so I put it on wide scan.

(Not sure how public that thing is right now.)

Bleg for help: How might I get an equivalent of Google Books ngram viewer to tell me how frequent given terms might be in an LLM training data set?

I'd be happiest with a tool like the ngram viewer, even if constrained to a single open weight model.