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Article URL: https://magnusludviksson.substack.com/p/youre-also-a-neural-network-train

Comments URL: https://news.ycombinator.com/item?id=49548795

Points: 1

# Comments: 0

Article URL: https://arxiv.org/abs/2608.20574

Comments URL: https://news.ycombinator.com/item?id=49548788

Points: 1

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Article URL: https://www.ctvnews.ca/sci-tech/article/us-urges-g20-countries-to-allow-ai-training-on-creators-work/

Comments URL: https://news.ycombinator.com/item?id=49548769

Points: 2

# Comments: 1

Article URL: https://istories.media/stories/2026/09/03/vines-sorm-iz-izbi/

Comments URL: https://news.ycombinator.com/item?id=49548758

Points: 2

# Comments: 1

In the 90s Bill gates and his corporate minions scared everyone into believing if they didnt "learn computers", and "learn Office", they would not be able to get a job. That they would be "unemployable".

And computers were new and to some kind of exciting to some threatening, and people internalized this fear and indeed imitated their corporate masters to stay employed. Very few rebelled. Yes, some secretaries cried at their desks, I was witness to it personally, but there was no stopping corporations from making this change and a keyboard was still a typewriter with better paper and a working backspace anyway.

But imitating corporate behavior has its limits even in America. I see a huge percentage of software engineers now "pretending to be interested" in machine learning (a quite mature field of study) who have never cared one wit about it before (and still likely dont). People running LLMs on their machines and buying systems with big RAM installations so they can "imitate corporations" and who (maybe rightfully?) fear for their jobs.

But here's the thing, there is really nothing of interest to a software engineer in machine learning at all even really as a consumer. And thats why most software engineers never got into it. So the ladder of corporate attainment now containing references to LLMs, has people not only imitating their employers, and going through the motions of "using" machine learning tooling, which will lead (is leading) to these "converted engineers" into feigning expertise (its already happening in corp software shops everywhere) in machine learning to "get ahead".

This is really cowardly and should be beneath those that believe in their chosen profession. All the people doing this should understand, that the rest of us software engineers who intend on staying oftware engineers are not fools. We see what you are doing.

And when this is all over and crashes, you may ask yourself if we will "let you back in the club".

Will we let you back in the club?, indeed is a good question for the pretenders to ponder.

Comments URL: https://news.ycombinator.com/item?id=49548748

Points: 1

# Comments: 0

Article URL: https://www.reuters.com/legal/litigation/us-government-backs-openai-new-york-times-copyright-case-2026-09-02/

Comments URL: https://news.ycombinator.com/item?id=49548747

Points: 2

# Comments: 0

Requirements are intentions, QA is the proof.

I see massive gaps in QA out there. How did this come to be? I am not sure. I have been heads down on my own startups and didn't realize how QA was changing - at least in certain communities.

It has been long known that handing QA to the same person who wrote the code is usually going to be ineffective. Psychologically, it is non-trivial. You almost need a healthy competitive setup ( not to psychotic levels ) to get the best out of those who write the code and those who QA the product. You do this yourself, only if you have no other options: I run through my regression testing for my self-written game AccurateMisplaced manually ( 60K LoC - non AI ) in a day for 3 device types and it goes way beyond happy path testing and domain knowledge testing. I am bootstrapped so I do it myself, and have zero bugs in production so far, and I have a strong foundational background in QA from my first job ages ago ( IBM uKernel) so perhaps I am better able to compartmentalize my brain but it is not ideal to test your own code.

I find average test coverage to be abysmal. Is this why we see so many broken products launched? When did it become okay to just fix it in production, when a little extra effort can secure better quality pre launch?

I am speaking of utter lack of security testing, integration testing, core logic testing, stress testing, memory and performance checks, resilience checks ( users may do unexpected things is your product going to fold or remain standing?) , scalability testing, etc.

For Mobile Apps, layout testing itself is a peak activity given the modern sprawl of window resizing, split windows, multiple scenes on the same device and device idiom spread ( various devices your app may run on ) .

If nobody is testing for the negative tests, then your code is vulnerable.

These are not Product domain judgments these are technical judgments. Somebody has to test for it else you run the risk of finding out in production.

And you have your business/domain knowledge based tests, and UX testing which is really all about user empathy.

QA is a non-trivial activity especially given the complexity of our architectures and our products' scope.

To me, your test suite remains a promise/contract of the quality you intend to provide. A well thought out test suite keeps code-writing AI accountable.

In the Agentic AI era, QA may be the only difference between mindful releases & chaos.

Ms Gitanjali GulveSehgal AKA Gigi Sehgal Founder Gigi Sehgal LLC South Los Altos California

Comments URL: https://news.ycombinator.com/item?id=49548737

Points: 1

# Comments: 0

Article URL: https://thenextrecession.wordpress.com/2026/09/01/ai-and-the-profits-boom/

Comments URL: https://news.ycombinator.com/item?id=49548734

Points: 2

# Comments: 0

Article URL: https://github.com/ackxolotl/csveee

Comments URL: https://news.ycombinator.com/item?id=49548733

Points: 1

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Article URL: https://pkuflyingpig.gitbook.io/pintos

Comments URL: https://news.ycombinator.com/item?id=49548720

Points: 2

# Comments: 0

Article URL: https://twitter.com/Xbow/status/2095220385876742456

Comments URL: https://news.ycombinator.com/item?id=49548716

Points: 1

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Article URL: https://themodernsoftware.dev/

Comments URL: https://news.ycombinator.com/item?id=49548712

Points: 1

# Comments: 0

Article URL: https://www.strangeloopcanon.com/p/nobody-knows-anything

Comments URL: https://news.ycombinator.com/item?id=49548710

Points: 1

# Comments: 0

Article URL: https://iainball.com/world-organ.html

Comments URL: https://news.ycombinator.com/item?id=49548684

Points: 2

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Article URL: https://www.youtube.com/watch?v=nM86DBOqgPM

Comments URL: https://news.ycombinator.com/item?id=49548641

Points: 2

# Comments: 0

Article URL: https://tiktok-api.seeksocial.io/

Comments URL: https://news.ycombinator.com/item?id=49548625

Points: 7

# Comments: 0

 An amendment to the UK’s Cyber Security and Resilience Bill will give the government powers to switch off AI systems or datacentres in an emergency

HackerOne used Anthropic’s controversial Claude Mythos 5 model on its codebase and found a critical hidden flaw

Cybercriminals are offering digital scans of US and Canadian driver’s licenses, likely stolen from IDScan.net.

The post 153 Million Driver License Images Offered on Dark Web appeared first on SecurityWeek.

Article URL: https://www.theregister.com/cyber-crime/2026/08/26/more-than-100-water-systems-were-hit-in-july-cyberattacks/5292685

Comments URL: https://news.ycombinator.com/item?id=49548396

Points: 1

# Comments: 0