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Native Multiplatforming – Android and Web

https://github.com/quaadgras/graphics.gd/discussions/177
1•Splizard•2m ago•0 comments

David Deutsch on AGI, the future of humanity, and more [video]

https://www.youtube.com/watch?v=IVA2bK9qjzE
1•ksdk•2m ago•0 comments

Repeated heatwaves can age you as much as smoking or drinking

https://www.nature.com/articles/d41586-025-02729-x
1•XzetaU8•3m ago•0 comments

AI Bubble –> AI Winter

https://en.wikipedia.org/wiki/AI_winter
1•baalimago•6m ago•0 comments

Using MacBook sensor API to make screen hinge sound like old wooden door

https://twitter.com/samhenrigold/status/1964428927159382261
1•adityaathalye•19m ago•1 comments

Need help with FAANG-o-meter

https://sagastar.com?redeem_invite=beta100
1•kind-serge•21m ago•0 comments

When Australian scientists almost brought back the extinct gastric brooding frog

https://www.abc.net.au/news/science/2025-09-06/gastric-brooding-frog-project-lazarus-deextinction...
1•stubish•24m ago•0 comments

How Much of Indian Medicine Is Bad?

https://sayacare.in/blogs/how-much-of-indian-medicines-is-bad
1•himanshu7net•24m ago•0 comments

Longhorn – A Kubernetes-Native Filesystem

https://vegard.blog.engen.priv.no/?p=518
3•jandeboevrie•25m ago•0 comments

Aspected Orinted Programming and Structured Logging

1•JasmineAs•27m ago•0 comments

Nvidia-backed U.S. atomic fusion firm eyes reactor in Japan

https://www.japantimes.co.jp/business/2025/09/04/companies/us-nuclear-fusion-firm-eyes-japan-reac...
1•breve•29m ago•0 comments

Platypuses glow under UV light and we have no idea why (2020)

https://www.nytimes.com/2020/11/13/science/platypus-glow-ultraviolet.html
1•spectraldrift•32m ago•0 comments

Building Towards AGI

https://poolside.ai/vision/research
2•matesz•33m ago•0 comments

The "impossibly small" Microdot web framework

https://lwn.net/Articles/1034121/
1•pykello•36m ago•0 comments

The Garden Speaks: On Cucumbers, Mildew, and Projects

https://zakelfassi.com/blog/2025/2025-09-06-garden-speaks-cucumbers-mildew-projects
1•zakelfassi•38m ago•0 comments

Wix

2•dadin•38m ago•0 comments

Patterns, PREDICTIONS, AND ACTIONS A story about machine learning [pdf]

https://mlstory.org/pdf/patterns.pdf
1•tzury•44m ago•0 comments

Facing stiff competition, remote workers up their game

https://apnews.com/article/finding-remote-jobs-employment-tips-76a61cc6a646493dc3f5e0bfa733160c
1•petethomas•44m ago•0 comments

Forget love triangles. Meet the 'polycule' with 80 people in it

https://www.thetimes.com/life-style/sex-relationships/article/polyamory-polycule-somerville-capit...
1•kensai•45m ago•0 comments

Magnetic Bubble Memory

https://www.smbaker.com/magnetic-bubble-memory-mega-post
2•dmitrygr•46m ago•0 comments

Performant girl and performative male in SF

1•ThatDumbGirl•51m ago•0 comments

What the Next 5 to 10 Years Look Like – Prof. Jiang Xueqin [video]

https://www.youtube.com/watch?v=_4HYxYF4998
1•hkhn•56m ago•1 comments

Liberalism Without Illusions

https://democracyjournal.org/magazine/77/liberalism-without-illusions/
1•hkhn•56m ago•0 comments

Resources, Laziness, and Continuation-Passing Style

https://journal.infinitenegativeutility.com/resources-laziness-and-continuation-passing-style
2•Bogdanp•58m ago•0 comments

Elizabeth Gilbert on Distinguishing Between Hobbies, Jobs, Careers, & Vocation [video]

https://www.youtube.com/watch?v=0g7ARarFNnw
1•adityaathalye•1h ago•0 comments

MVC: Xerox PARC 1978-79 – Trygve Reenskaug

https://folk.universitetetioslo.no/trygver/themes/mvc/mvc-index.html
1•lioeters•1h ago•0 comments

The Lunar Cowboy: Introducing unittest-fixtures

https://lunarcowboy.com/introducing-unittest-fixtures.html
1•PaulHoule•1h ago•0 comments

Postal traffic to U.S. fell 80% after gov stopped exemption on low-value parcels

https://www.cbsnews.com/news/postal-traffic-us-fell-trump-administration-stopped-exemption-low-va...
1•mraniki•1h ago•1 comments

Show HN: CRoM – Context Rot Mitigation System for RAG-Based LLMs

https://github.com/Flamehaven/CRoM-Context-Rot-Mitigation--EfficientLLM
1•Flamehaven01•1h ago•0 comments

Dream: Visual Decoding from Reversing Human Visual System

https://github.com/weihaox/DREAM
1•felipelalli•1h ago•0 comments
Open in hackernews

UK government trial of M365 Copilot finds no clear productivity boost

https://www.theregister.com/2025/09/04/m365_copilot_uk_government/
59•dijksterhuis•2d ago

Comments

illusive4080•2d ago
I have found that it is useful for specific tasks but those tasks aren’t necessarily time savers. For instance, asking it to rephrase a sentence doesn’t really save me time, but it does give me some alternative phrasing that I might not have thought of.

It is particularly good, as most AI is, at text summary. Whether that is summarizing what I’ve missed in a meeting, action items, or even finding a needle in a large haystack of a document.

On the other hand, I find it wholly lacking in the search/discovery of documents in SharePoint and surfacing important emails. There is no way for me to tell it that “such and such executive call” has no importance to me, or that “help please” is the most important email in my inbox.

utyop22•1d ago
"For instance, asking it to rephrase a sentence doesn’t really save me time, but it does give me some alternative phrasing that I might not have thought of."

But the real question is - does it matter? What benefit did you get from using the non-alternate phrasing vs the alternate phrasing?

It's not the same trade off as performing computation via a calculator to do more high value work vs doing it by hand without it.

usr1106•2d ago
I generally distrust AI results, have seen too many misleading results. So my daily productivity killer are increasing number of popups to use Copilot. 10 seconds of clicking it away and 3 minutes lack of focus for hating myself working in a company that uses Microsoft crap.
NoPicklez•2d ago
Governments struggle to be productive on the best of days, I wouldn't trust Governments to have trained staff on how to be more productive with it in the first place.
iamflimflam1•1d ago
I would normally agree. But as I’ve said in another comment - we trialled 365 Copilot. The only thing that was useful about it was meeting summaries in teams. But there are many alternatives that do a better job.
iamflimflam1•1d ago
We also trialled M365 Copilot. It’s absolutely useless.
ath3nd•1d ago
Dont worry, OpenAI's unconfirmed office suite will be much better.

https://www.computerworld.com/article/4021949/openai-goes-fo...

Nothing says that they are close to AGI and that ChatGPT5 was a raging success more than an office suite. They already have study mode, so definitely you know they are full of ideas and totally not stagnating and unprofitable with huge compute debt.

https://openai.com/index/chatgpt-study-mode/

xwolfi•1d ago
On one hand I cant wait for this fad to end, on the other hand, I cant imagine how bad the next one will be. I almost miss my middle managers running around with stupid blockchain ideas.
ath3nd•1d ago
> I almost miss my middle managers running around with stupid blockchain ideas. reply

I tend to agree with you, I miss the blockhain times.

LLMs allow the generation of symbols and characters (calling it "articles", "essays" or "source code" is an exaggeration) too quickly for us to edit and almost too quickly for us to have a second thought and assess what we are reading. When your eyes have seen so much slop in such quick succession, your brain starts normalizing it and you are more likely to stop noticing.

There goes your good taste, there goes your critical thinking.

And of course, you get into these discussions now: "I pasted this prompt in Claude and my feature was done in 5 min, why did it take you two days?". I shudder thinking what further enshittification the future holds.

utyop22•1d ago
"When your eyes have seen so much slop in such quick succession, your brain starts normalizing it and you are more likely to stop noticing.

There goes your good taste, there goes your critical thinking."

Yes exactly!

utyop22•1d ago
One thing I'm learning to appreciate is true and proper deep thinkers who take the time to break down a product/technology into its characteristics - to determine what the benefits and trade offs are and having the imagination of where they fit in the world - is extremely, extremely rare.

It takes a rare mix of visionary thought and discipline to do it well.

brianmcc•1d ago
As something of an AI skeptic the thing that bothers me most is the wholesale gullibility and credulity of leaders. Incredible claims IMO require incredible levels of evidence, not just "tech bros with vested interests tell us this, it must be so!".

A level of general experimentation by companies and other organizations is clearly warranted, and it should be marked accordingly. This just isn't happening in a lot of places: "become 10x more productive or bye-bye" is just totally ludicrous stance to take.

So it's good to see some reports coming out where some attempt at actual measurement and assessment of efficacy has been made.