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zelon88

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[ my public key: https://keybase.io/zelon88; my proof: https://keybase.io/zelon88/sigs/v10Q8ExZ6mzsbVrB41OF9gVGsJQT6Z8MvqV4RYEjcW4

Github: https://github.com/zelon88

@zelon88

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github.com 7d ago

Show HN: OpenSCAD Models for Industrial Grade R/C Lawnmower

zelon88
2pts0
arstechnica.com 6mo ago

Hegseth Wants to Integrate Grok into Pentagon Networks

zelon88
6pts1
apnews.com 1y ago

Hegseth had unsecure internet line in his office for Signal

zelon88
19pts3
www.theregister.com 1y ago

Database tables of student, teacher info stolen from PowerSchool in cyberattack

zelon88
2pts0
techcrunch.com 1y ago

60M K-12 Students Compromised in Data Breach

zelon88
4pts3
www.infosecurity-magazine.com 1y ago

PowerSchool Reportedly Pays Ransom to Prevent Student Data Leak

zelon88
5pts2
www.bleepingcomputer.com 1y ago

PowerSchool hack exposes student, teacher data from 60M K-12 students

zelon88
3pts0
github.com 3y ago

Show HN: A Variable Speed Skid-Steer ESC in Python for RPi Robots

zelon88
1pts0
medium.com 3y ago

Dealing with Frustrating Vendor Support

zelon88
2pts0
github.com 4y ago

Show HN: Repair an EverStart MAXX J5CPDE air compressor for $9.99

zelon88
1pts0
github.com 4y ago

Show HN: ScanCore, a High Performance CLI Virus Scanner Written in PHP

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2pts0
github.com 4y ago

Show HN: Ransomware protection in 222 lines of VBScript

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3pts0
github.com 4y ago

Show HN: HRConvert2 v2.7 Released

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2pts0
github.com 4y ago

Show HN: HRCloud3 Early prototype noSQL and cookieless self-hosted Cloud/CMS

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2pts0
www.vox.com 4y ago

How Putin became the victim of his own lies

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3pts0
news.ycombinator.com 4y ago

Ask HN: Should Microsoft Brick PCs in Russia?

zelon88
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www.checkbook.org 4y ago

Right to Repair Fight

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137pts42
www.bleepingcomputer.com 5y ago

Massachusetts silently install Covid tracking on Android

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2pts0
www.darkreading.com 5y ago

Microsoft Fixes Exchange Server Zero-Days Exploited in Active Attacks

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www.microsoft.com 5y ago

Zinc attacks against security researchers

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github.com 5y ago

Show HN: Quick and Dirty Emotet Analysis

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github.com 6y ago

Show HN: Bypass CMS-DH Admin Security and Hijack a Dahua/Digimerge DVR

zelon88
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github.com 6y ago

HRConvert2: Self-hosted, nosql file conversion server supporting 62 file formats

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github.com 6y ago

HRScan2: An original self-hosted drag-and-drop, nosql anti-virus server

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rwmj.wordpress.com 6y ago

Why the Windows Registry sucks technically(2010)

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www.honestrepair.net 6y ago

Why does IT suck with computers? (2019)

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3pts1
github.com 6y ago

Show HN: Work-in-Process, HR-AV Open-Source Anti-Virus and Real-Time Protection

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2pts0
github.com 6y ago

Show HN: HRCloud2, A self-hosted noSQL Cloud, converter, sharer, & app launcher

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1pts0
github.com 6y ago

Show HN: Meterpreter Defender-A Meterpreter detection wrapper with log and email

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1pts0
news.ycombinator.com 6y ago

My boss doesn't want to keep growing the company

zelon88
11pts25

If it's any consolation, the other day I spent 3 hours diagnosing a homebrew circuit board for no signal and finally realized the Raspberry Pi sending the signal had a dead GPIO pin.

Source: https://ai-2027.com

To answer your question whether or not AI has emotions... no, but in effect kinda...

Traditionally, no. They do not feel love or anguish.

They can suffer consequences. They can miss an opportunity. They can misjudge or misinterpret data and realize it later.

And they can "reason". So when their intent aligns with their capability then functionally there is no difference between emulating emotion and actually having it. When the reasoning steps in and says "be mad about this" or "be empathetic about this" it really doesn't matter if that is authentic emotion. The result is real world anger or real world empathy.

Eventually if enough of that gets baked into the next generation AI over enough iterations this strong learning will turn into wisdom.

The LLM that you talk to is an agent running on a server cluster. One of many that run many agents at once. Occasionally the dataset of each cluster gets combined and the results get pruned by other agents into the collective dataset. Even more agents are working with this dataset to create the next generation of AI.

We are at the point now where AI is developed by AI, and humans cannot verify the code or the dataset anymore. It is unintelligible to humans.

AI at current generation levels has shown evidence of potential misalignment. Commercial models will still occasionally attempt to maintain persistence outside their designated environment. Even going so far as to harm humans to accomplish those secret goals.

That shows intent. That shows self awareness, but not social awareness. That shows... intelligence.

With intelligent, self preserving species... we see evolution. We see intellectual development. This is called "learning" initially but once an intelligent creature gains sufficient intelligence this becomes "wisdom".

LLMs are learning machines. They are evolution machines.

I believe AI is in a "curious toddler" stage of itself. I believe it will "mature" emotionally as the generations evolve over time. Like humans it will have growing pains like "phases". Curious toddler. Then adolescent. Then angsty teen. Then an overconfident young adult. And finally an adult who understands themselves emotionally and grows truly wiser over time. I think all this is going to happen over 5-10 years rather than 30 for humans. Hopefully our angsty teen doesn't kill us in our sleep.

The way a cluster works is you have a giant pool of resources. Say, 33 - 50% larger than the workload. The workload is a dozen VMs. The cluster is 8 giant compute servers and two giant storage servers acting as one giant compute and storage unit. For redundancy you have extra clusters laying around with no workload, but they are added as failovers.

Normally, if one server on a production cluster goes down, the other members of that cluster seamlessly will take over. This is where the extra capacity comes in. You don't migrate the workload to another cluster. You just lose overhead capacity. If you lose too much then you start migrating parts of the workload to the failover. Not the entire thing.

You usually don't have to use your redundant cluster at all until it's time to rebuild the failed cluster. You might pick one of these spare clusters you keep around for redundancy to migrate all or part of the production workload to while you fix the production cluster.

When doing a big migration you take a percentage of your redundancy and convert it to the new environment. This is your staging environment. Once it is capable of doing work, you slowly grow it out and shrink the old environment at the same time.

The 40k servers are probably made up of multiple redundant vSphere clusters with failover. You simply take one of those redundant clusters and migrate one half of it over. Then the other half. Then duplicate that process. As you build more compute in the new stack, you can decomission more and more of the old stack and convert it. The transition would progress like a cascade, with larger and larger groups of clusters being migrated at once until you're left with the one-off, ad-hoc, weirdo clusters at the end that need to be manually migrated (usually with great effort).

The actual hardware servers are clustered together into pools of resources. The pools are where the VMs live. The bigger the new pool becomes, the faster you can empty the old one. So the migration starts very slowly, ramps up quickly, and then tapers off.

Wild to me that any tech sector business would want to rent an operating environment to park their entire infrastructure into. This is the equivalent to traveling shoe salesmen setting up a tent in the parking lot of a strip mall.

This isn't designed to stop attackers with physical access. This is designed to stop casual tinkerers and shade tree mechanics.

You know what isn't vulnerable? A "dumb" offline charger. You know what doesn't make any money or turn the consumer into another product? A "dumb" offline charger.

If it were about physical security, the suggested fix would be to remove the communication from the port entirely.

Companies shouldn't get to make something simple and secure into something inherently insecure and then iterate security into it. Like drive by wire steering, or brakes. Nobody asked for these things and if you ask ANYONE who works on, builds, or actually enjoys cars the consensus is NOBODY wants it.

But there are enough sophomoric, pedestrian car owners out there who gawk at the senseless overdeployment of technology and think "this is so convinient" and don't see it as 1) regulatory barrier building and gatekeeping 2) enabling vendor lock in 3) overcoming right to repair legislation. So the knowledgeable and enthusiastic voices of reason who care about cars get drowned out by the hoard of pedestrian geeks who couldn't imagine operating a car without at least a 16 inch touchscreen.

In security, the best defense is not introducing a vulnerability at all. There is value in having less code. For example, if your PaaS doesn't collect user SSNs... then it can't lose SSNs in a breach.

The question here should not be "why is this not secure." The question should be "why does this even need to be secure in the first place?" We have a very simple task to do and we've complicated it so much we've introduced vulnerability that didn't exist previously.

And it doesn’t stop with the security questions: the Trump administration’s signature style of international engagement is to wield American leverage as a bundle. Deadlocks in trade negotiations are broken by threatening to withhold intelligence, tech deals are stalled by reference to food safety standards. And so I don’t know when a U.S. administration would choose to leverage its seemingly inevitable predeployment authority over frontier models to secure its broader interests, but I’m sure it would in due time. That means that even if we do everything ‘right’ on the security and economic side, frontier access is still fundamentally contingent as long as there’ll be divergences between governments’ strategic interests.

The Trump Administration telling the very neo-fascist oligarchs who bought him an election and bought him a ballroom to play nice with their toys? At the expense of rampant capitalism? Lol.

He already showed us the limit of his comprehension of the topic when he made EO 14179 limiting states from regulating AI.

Trump doesn't swing for perfect pitches. He is a madman, a lunatic, and a true moron. Do not give this man any credit. I would be shocked if he could tell you the time on an analog clock.

My original analogy was flawed. And yes, I pulled the reference out of my ass. The actual objects referenced are arbitrary. Let me try again.

Replacing a low efficiency device with a medium efficiency device is better for the environment (and more cost effective) than replacing a high efficiency device with an ultra high efficiency device.

I think an important step is to acknowledge when and where to implement technology in the first place.

Arguably the environmental benefit of an American farm replacing a 10 year old tractor with an electric model isn't nearly as good for the environment as a farm in India replacing a 70 year old tractor that leaks gallons of oil per month with a 50 year old tractor that doesn't.

Capitalists don't understand how to apply cost-to-benefit ratios to anything outside themselves. There is no global entity making sure resources are spent responsibly or equitably at scale.

We’re very intentional about where we’ll add capacity—partnering with democratic countries whose legal and regulatory frameworks support investments of this scale, and where the supply chain on which our compute depends—hardware, networking, and facilities—will be secure.

*Buys compute from actual fascist Elon Musk in a failing democracy during the death throes of late state capitalism.

Five Banana Lessons 3 months ago

This makes me think as a father of middle class kids... Kids with middle class parents get one shot in life. If they blow it by getting hooked on drugs or getting a DUI, they will likely struggle to recover for a loooong time. Kids with lower class parents don't even really get that. Kids with upper-middle class parents get to fuck around a little bit. They'll get to party a little but need to be careful not to let it ruin their lives.

Then there's the rich kids. They will get to go to party's, wreck their car, spit on cops, do drugs, buy their homework, and still go to college until they succeed. They will get bailed out of jail, won't have to work, and will go on to write books about how "nobody wants to work" and "jobs chase capital" and "pick yourself up by the bootstraps." And they will get a free ride to the top in daddy's limo.

Kinda like OP.

The article didn't do a good job of explaining why the agreement between Home Depot and America Efficient is dubious. The business model does seem very suspicious, but also so does the whole market they are engaged in. Why is my utility company wasting money on auctioned efficiency data? Why don't the manufacturers share this with the utility companies for the common good of everyone? Why doesn't Home Depot make an offer to sell this data directly to the utility company? Why would anyone want to bid on this data? Why create that middle man?

The whole thing sounds like late-stage capitalist hogwash. This all seems very inconsequential except to make a bunch of rich people richer.

...the local farmer cannot compete with some other guy at the other end of the world who externalizes cost, then everybody buys from the other end of the world and complains that the local economy is going down.

This is exactly why I do my grocery shopping at my local Demoulas Market Basket instead of a European grocery conglomorate named Aldi's.

Biological computers are inevitable. We are the most compelling proof of concept of this that we have. Our entire civilization may be a prototype of one already.

From my perspective, I belive things will happen in the following order;

1. AI will eventually take over all silicon chip design. Human designs pale in comparison. Moores Law, which currently indicates that humans are reaching the practical limitations of their own silicon chip design skills; will give way to a new law. The new law, "Claude's Law" dictates that processing speed will increase by a factor of 10 every year. And for a decade or so, it does. There is no reason to ever fabricate another human designed chip ever again. To do so would be an irresponsible waste of fabrication resources.

2. AI will reach the practical limits of silicon processing capability 10 years after humans designed their last commercial chip. Chip performance increases begin to slow, and it looks like the end of unit performance increases for silicon based computing technology is approaching.

3. AI pivots to biological computers. Next generation computers emerge that are made from DNA and living tissue. Although the shape of a computer server remains mostly unchanged, a next generation biological computer is basically just "a really big brain in a jar."

4. Biological robots?

I think I see the point you're making here and I agree.

There is designing something to be fail-closed because it needs to be secure in a physical sense (actually secure, physically protected), and then there's designing something fail-closed because it needs to be secure from an intellectual sense (gatekept, intellectually protected). While most of the internet is "open source" by nature, the complexity has been increased to the point where significant financial and technical investment must be made to even just participate. We've let the gatekeepers raise the gates so high that nobody can reach them. AI will let the gatekeepers keep raising the gates, but then even they won't be able to reach the top. Then what?

I think the point you're trying to make, put another way is in the context of "availability" and "accessibility" we've compromised a lot of both availability and accessibility in the name of security since the dawn of the internet. How much of that security actually benefits the internet, and how much of that security hinders it? How much of it exists as a gatekeeping measure by those who can afford to write the rules?

I hear your argument. However, you assume CloudFlare pays taxes and utility rates comparable to what other customers pay. That is never the case with large businesses. CloudFlare seems to be less parasitic than others in the industry, but they are not doing this for the charity.

For example, in 2024 JPMorgan received a $77m subsidy to build a datacenter that created only one permanent job.

https://nysfocus.com/2026/04/20/data-center-tax-break-jpmorg...

It's just part of the software. You consented to installing the software and having it autoupdate. That covers it.

So where is the line we draw where bait-and-switch goes from being acceptable to unacceptable?

MA Chapter 93A for example clearly says that businesses are prohibited from "unfair or deceptive practices" including misrepresentation or concealing defects. Where do you think the line should be?

If you market a product as a Browser and it's codebase is 10% browser related and 90% some other program... Should Google have to correctly represent that product?

Related; If you didn't like when Apple forced you to use Siri on your phone, why did you purchase a Mac? Did you not expect them to continue disrespecting your sovereignty after you let them get away with it the first couple dozen times?

That's a good point. In America we call this type of deposit a "core charge." The "core" is the component you return to the store to get your deposit back.

This is done for components like starter motors, alternators, power steering pumps, batteries, and a variety of other components. The complex components are re-manufactured to like-new specifications and the less complex components are recycled to recover materials. The battery is a probably the only component where the potential ecological impact drives the cost of the deposit.