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Claudy Day

https://pages.oasis.security/rs/106-PZV-596/images/claudyday-vulnerability.pdf?version=0
1•jeisc•33s ago•1 comments

The Reason Windows Hate Is Exploding: It's the End of Personal Computing [video]

https://www.youtube.com/watch?v=e7a89ZYcTo8
1•oldnetguy•1m ago•0 comments

Introducing DoorDash Tasks

https://about.doordash.com/en-us/news/introducing-doordash-tasks
1•pramodbiligiri•1m ago•0 comments

Molly Holzschlag's archived blog remake

https://mollyholzschlag.com/
1•vietyork•2m ago•0 comments

Show HN: I built a super simple email reminder inspired by the RemindMe! bot

1•santah•3m ago•0 comments

Whiplash: What happens when people stop taking GLP-1s?

https://nautil.us/whiplash-heart-attack-and-stroke-risk-jumps-when-people-stop-taking-glp-1s-1279029
1•I_Nidhi•4m ago•0 comments

A static site generator and website transferring under 20kB

https://theconsensus.dev/blog/2026/03/19/a-static-site-generator.html
1•ibobev•5m ago•0 comments

The Rise of Fake Casio Scientific Calculators

https://hackaday.com/2025/12/29/the-rise-of-fake-casio-scientific-calculators/
1•bookofjoe•5m ago•0 comments

AI (2014)

https://blog.samaltman.com/ai
1•bjornroberg•6m ago•0 comments

Kanban TODO: a textfile based Kanban board in a single HTML file

https://www.youtube.com/watch?v=yyBZceJG-Ls
1•nialse•7m ago•0 comments

A visual way to explore startups that raised recently

https://iraised.io
1•damiannn•10m ago•0 comments

Missile strikes close to reporter during Israeli attacks in Lebanon

https://www.aljazeera.com/video/newsfeed/2026/3/19/missile-strikes-close-to-reporter-during-israe...
2•0x54MUR41•11m ago•0 comments

Surveillance in Africa: Mapping Chinese AI Surveillance Across 11 Countries

https://www.ids.ac.uk/publications/smart-city-surveillance-in-africa-mapping-chinese-ai-surveilla...
1•giuliomagnifico•12m ago•0 comments

AI's impact on mathematics is analogous to the car's impact on cities

https://mathstodon.xyz/@tao/116252708577614828
1•birdculture•12m ago•0 comments

Entso-E final report on Iberian 2025 blackout

https://www.entsoe.eu/publications/blackout/28-april-2025-iberian-blackout/
4•Rygian•13m ago•0 comments

Places to Look for Alien Life

https://ras.ac.uk/news-and-press/research-highlights/best-places-look-alien-life-scientists-ident...
1•NKosmatos•14m ago•1 comments

50 Years of Thinking Different

https://www.apple.com/50-years-of-thinking-different/
1•logicallee•16m ago•0 comments

China mobilizes "one-person company" AI startups

https://restofworld.org/2026/china-ai-one-person-companies-incentives/
1•donohoe•16m ago•0 comments

MöbiusNumber: 0.1 and 0.2 = 0.3

https://github.com/JustNothingJay/mobius-number
1•SECS_Sovereign•17m ago•0 comments

If You're Going to Drink, Make It This Kind of Alcohol

https://nautil.us/if-youre-going-to-drink-make-it-this-kind-of-alcohol-1279091
1•Brajeshwar•17m ago•1 comments

Ask HN: Which one of the Pivotal Tracker successors do you use?

1•antfarm•19m ago•0 comments

Cursor's 'Composer 2' model is apparently just Kimi K2.5 with RL fine-tuning

https://old.reddit.com/r/singularity/comments/1ryrs2w/cursors_composer_2_model_is_apparently_just...
1•limoce•19m ago•1 comments

Claude-code-permissions-hook – delegate permission approval to LLM

https://github.com/panuhorsmalahti/claude-code-permissions-hook
1•nawitus•21m ago•0 comments

Unified Modules for Your Nixfiles

https://jadarma.github.io/blog/posts/2026/03/unified-modules-for-your-nixfiles/
1•tymscar•23m ago•0 comments

I launched an open-source tool that turns any learning material into viral games

https://github.com/yh2072/edgameclaw
2•yh2072•23m ago•0 comments

Star Wars Username and Gamertag Ideas – Discord, Xbox, PS5 and Social Media

https://starwarsnamegenerator.com/blog/star-wars-username-generator-guide
1•Jaxon_Varr•25m ago•0 comments

MHServerEmu 1.0.0 Is Here

https://crypto137.github.io/MHServerEmu/blog/2026/03/20/mhserveremu-1-0-0.html
1•keithoffer•25m ago•0 comments

Things That Turbo Pascal Is Smaller Than (2011)

https://prog21.dadgum.com/116.html
1•signa11•26m ago•0 comments

3M's PFAS exit killed the supply chain for two-phase immersion cooling in DCs

https://thecoolingreport.com/intel.html
3•jackdilusso•30m ago•0 comments

Amazon plans smartphone comeback more than a decade after Fire Phone flop

https://www.reuters.com/technology/amazon-plans-smartphone-comeback-more-than-decade-after-fire-p...
4•mfiguiere•31m ago•0 comments
Open in hackernews

Essex police pause facial recognition camera use after study finds racial bias

https://www.theguardian.com/technology/2026/mar/19/essex-police-pause-facial-recognition-camera-use-study-racial-bias
16•Brajeshwar•1h ago

Comments

gib444•1h ago
Alternative headlines:

Essex police, well aware of all the issues before using it, pause use until expected bad publicity dies down

Or

Essex police chosen as force to take some flack for the issues while other forces steam ahead

ap99•56m ago
> more likely to correctly identify men than women.

> more likely to correctly identify black participants than participants from other ethnic groups.

> AI surveillance that is experimental, untested, inaccurate or potentially biased has no place on our streets.

I wonder if they're more worried about putting too many men in prison or too many black people.

xenocratus•13m ago
Neither, they're worried about bad rep.
pingou•49m ago
If the suspect is Black, the software should automatically return zero matches in 30% of cases. Problem solved.
bloqs•41m ago
Correlation does not indicate causation
ghusto•41m ago
> the system was more likely to correctly identify men than women and it was “statistically significantly more likely to correctly identify black participants than participants from other ethnic groups”.

I am genuinely unsure what's going on.

My understanding of the article is that the system is problematic because it is more likely to correctly identify black people than "other ethnic groups". Is that right?

defrost•37m ago
It's problematic for use in Essex as it works best for a small minority of the Essex population and has a much higher error rate for a typical sample of the Essex community.

Adendum: Essex Ethnicity breakdown- 85.1% White British · 5.2% Other White · 3.7% Asian · 2.5% Black · 2.4% Mixed · 1.1% Other · (2021).

from: https://en.wikipedia.org/wiki/Essex

ie: most accurate (however acccurate that is) for the men of 2.5% of the regions population

Not so accurate for 98.75% of the regions population.

OJFord•35m ago
Essentially (with made up numbers): 100 men on a high street, 4 of which are on a watch-list; 2 of which are black. Both black guys get identified, only one of the others does.

Ditto men vs. women, mutatis mutandis.

edgyquant•25m ago
So it should be improved but sounds like it’s just catching criminals who need to be caught no?
bondarchuk•6m ago
https://en.wikipedia.org/wiki/Selective_enforcement
OJFord•39m ago
This is actually more (socially/ethically/philosophically) interesting than one might assume from the headline: it's not false positives, it's that it's more effective (correctly identifies someone is on a watch-list) for one group than another within a protected characteristic.

So essentially they're pausing the use of it because it works too well for group A / not well enough for group B, potentially leading to disproportionate (albeit correct) arrests of group A.

metalman•30m ago
Absolutly impossible to condone further structural bias against a minority, and just ignore the free "white pass" built into the software, and esspecialy troubling that it passes white women, the most. The only possible action is to reject and dissable any system with a racial bias, investigate how such a thing happened, with a very pointy look for intent on the part of the vendors, who would then qualify for bieng housed in one of his majestys facilities for persons such as these.
edgyquant•26m ago
If it’s not falsely identifying people I don’t see a problem at all. If it’s identifying criminals every criminal should be caught
blitzar•30m ago
> the system was more likely to correctly identify men than women and it was “statistically significantly more likely to correctly identify black participants than participants from other ethnic groups”

Technology has moved on a lot no doubt, however, studies were finding the opposite (and with order of magnitude errors) as recently as 2020 with a lazy google literature search

> these algorithms were found to be between 10 and 100 times more likely to misidentify a Black or East Asian face than a white face

https://jolt.law.harvard.edu/digest/why-racial-bias-is-preva...