2026-03-02 01:00:03
When a new, disruptive technology comes along, fearmongering is never far behind. Writing was said to erode our memory, yet most of you still somehow managed to remember to put underwear on today. Movies and television were supposed to destroy our imaginations, yet the Star Wars and Harry Potter universes are bursting with human imagination, and the sheer volume of their wildly inappropriate fan fiction likewise proves so. Smartphones supposedly eradicated our attention spans, yet… wow, that’s really shiny! I’m sure I don’t need to tell you how disruptive AI is, so naturally, the fearmongering has followed.
\ The thing is, this particular brand of fearmongering around AI has escalated rather quickly, even in the face of both absurd and hyperbolic arguments, such as AI destroying our critical thinking, collapsing our institutions, and ending our world. Even better, there’s an unspoken thread in this fearmongering that implicates you, the user of AI, as part of this destruction because, apparently, you’re just too damned incompetent.
One of the supposed negative side effects of AI use is the destruction of critical thinking. It seems we are going to be so enamored with AI that we’re going to use it to supplant much of our thinking. No longer will you have to sit and have a think because you can simply have your AI do it for you. Don’t know what’s for dinner? Ask AI! Unsure of the moral implications of capital punishment in a contemporary society? Just ask AI! Is there life after death? AI, my friend. AI.
\ The argument basically boils down to this: because AI is so ubiquitous, we are going to be unloading so much of our cognitive effort that our critical thinking skills will diminish. It’s the old “use it or lose it” idea. But if the logic is inventions that reduce cognitive effort therefore reduce critical thinking, why didn’t the invention of writing prevent the invention of books, which should have prevented the invention of adding machines, which should have prevented the invention of computers, which should have prevented the invention of AI, whose creation required some of the most arduous collective critical thinking ever undertaken by humanity? Hint: It’s not true.
\ It seems as though the best evidence for this brand of fearmongering is that students who use AI to write their papers are not engaging their critical thinking. Unfortunately, even this claim can’t be supported. What can definitively be said about students using AI to generate their papers is not that their critical thinking skills are degrading, but that they are spending less time writing. Do we need a reminder that writing is not critical thinking? Because if it is, Socrates was an idiot, as he didn’t write. So while writing can certainly be tied to critical thinking, it is not critical thinking itself.
\ The problem is, many of these arguments use writing as a measure for critical thinking, demonstrating a deep lack of critical thinking. Not that it needs to be said, but two things can be true at once: you can be a good critical thinker and a crap writer. You also don’t have to think critically to write a paper. As a community college instructor, I’ve seen plenty of papers that are bereft of even a grain of critical thinking, but somehow, there were still a bunch of words printed on paper. So my students broke reality in addition to my hopes for them.
\ No, the best claim that can be made is that many students are spending less time writing, so it’s possible there might be a reduction in time spent on critical thinking. But even then, it would be a leap to assume none ever occurs. Am I to understand that students using AI to write papers are not even going to see what the AI wrote and use critical thinking to evaluate the essay? Are they completely unaware that AI hallucinates and makes errors? If all that is the case, it’s not the AI that is preventing critical thinking, now, is it? As surprising as it is, cheating predates AI.
\ Wait a minute… I must wholeheartedly apologize. I am absolutely unqualified to think about this critically, as I was in the top 1% of users who sent messages to ChatGPT in 2025. Therefore, I will start acting appropriately: Derrrrrr! Duh, AI good!
Our beloved civic institutions will also fall due to AI. An infamous paper recently made its way around the AI doom circles on this exact topic, How AI Destroys Institutions, and it proposes that this is going to happen through three mechanisms: deteriorating expertise through cognitive offloading, interfering with our decision-making, and isolating humans from each other.
\ Much like the argument for critical thinking, our professional skills are going to be eroded because of skill offloading from AI. It’s not that we might get worse at that specific thing AI is doing for us; rather, it’s that our professional skills will degrade. This is why I can never use an LLM for classroom content as an English as a second language instructor—my English skills would degrade, I wouldn’t be able to speak English anymore, and I’d be out of a job. Thanks, AI!
\ So we are to believe that professionals, people who have invested time and money into education and building up careers, are simply going to let important skills get unknowingly chipped away at because of AI? Are lawyers just going to become people who bring Claude into court? So all these people who’ve been highly trained won’t notice they’re not as effective at their jobs as they used to be? Their bosses won’t? The clients who pay for competent services won’t? That’s an extremely dependent and extraordinarily unlikely inverted pyramid made from a lack of self-awareness.
\ So I guess I won’t notice the degradation of my accountant’s skills when I have to pay six times more in taxes because of their mistakes, and I guess the parents of students won’t notice their children’s grades slipping because the teacher used AI and therefore sucks at teaching. Apparently, AI functions as a global blindfold. It’s fun when you find unintended uses of products!
\ Apparently, we’re also just going to have AI make our difficult moral choices for us because we’re just so damned lazy. We’re going to outsource our morality and judgment, all hidden behind an unknowable algorithm. No one will ever hash it out and come to a better agreement because we’re just going to outsource all of that to AI. I know how eager the public is to outsource our ethics, judgment, and morality to AI. Thank goodness there’s never, ever, ever been any pushback on this idea. Like ever. I guess Catholics will ask for repentance through Grok rather than through priests.
\ In order to collapse our civic institutions, such as education and the justice system, AI will also erode human relationships. Now, it is true that AI will displace some relationships; there’s a good chance the relationship you had with your assistants will be a faint memory when AI replaces them. Honestly, I still haven’t replaced the relationship I had with my ice block delivery man or the horse he rode on. Gosh, I sure do miss the 80s… The 1880s, that is.
\ And of course, all of this destruction of human relationships will happen only because of AI. If you thought it started happening with the decline of the monoculture as digital technology ramped up, well, you’re just wrong.
\ Additionally, people will become isolated because, with AI being so agreeable, there’s less reason to hash stuff out with others in an uncomfortable manner. I get it; people are conflict-averse. That’s why when I turn on the news, I only see stories about rainbows and puppies rather than wars and protests. Humanity is so harmonious!
\ So yeah, our beloved civic institutions will crumble. Damn you, AI!
If destroying our society wasn’t bad enough, AI is also going to contribute to the end of the world. The Doomsday Clock by the Bulletin of the Atomic Scientists has been moved to 85 seconds to midnight, in part because of the threat from AI. Biological, nuclear, and informational warfare AI upgrades are pushing us closer than we’ve ever been. And while these threats do actually have some merit, the hyperbolic conclusion still leaves this firmly in the fearmongering camp.
\ The fear of’ biological warfare is that AI will create a new, dangerous pathogen that people have no defense against. For nuclear warfare, AI’s implementation could mask the decision-making process, increasing the chances of error with a devastating weapon. And for informational warfare, it’s more about sowing chaos through deepfakes and the like.
\ I’ll be the first one to admit that these particular threats do seem a bit more compelling, though I’m still unsure that inching us toward doom is the appropriate conclusion. It is very conceivable that AI could design an extremely dangerous pathogen, but to be fair, we’ve kept plenty of dangerous pathogens for many years, so I’m just going to continue keeping my fingers crossed.
\ For nuclear warfare, technology in general typically reduces the need for human judgment, and it’s easily argued that it reduces errors from human judgment, so the doom argument seems like a wash at best. As for informational warfare with deepfakes, yeah, that one’s hard to refute. Society is just going to have to figure that one out as we did with other disruptive technologies, though again, contributing to the end of the world seems a bit of a hyperbolic conclusion in the meantime.
While AI doom slop has always annoyed me, it wasn’t until I sat down and thought about what binds them together, somehow without the help of AI, that I found the thread: humans are too incompetent to use AI responsibly. See, the allure of AI is simply too great for humanity, so naturally, the result is a degradation of our critical thinking, the collapse of our society, and even the destruction of our world.
\ We must first acknowledge that for any of these doom scenarios to come to fruition, it requires an incredible amount of human failure stacked on human failure stacked on human failure. We’ve already been warned by the doomers who seem immune to AI’s negative effects, yet we’re just not going to do anything to mitigate these potential disasters? Is AI not going to improve in any marked way? The companies that create AI have no incentive not let it destroy the world? I had no idea profits continued to percolate to the afterlife.
\ It seems parents and educators will simply shrug and accept that their children won’t be very good thinkers. The institutions that prop up our societies apparently can’t do anything in the face of AI to save themselves from ultimate destruction. And the great powers of the world would certainly never do anything to mitigate the risk of world destruction, even though the primary goal of conflict is to not be destroyed, but whatever. Remember, humanity is incompetent. They won’t say it outright, but it’s an implicit requirement in all of these predictions.
\ Plus, while we may be a bit late to the party, historically, we have always recognized the dangers of technology and done our best to minimize the risks. Cars now have seatbelts and airbags, houses now have circuit breakers and grounded outlets, guns have safeties, and even the Three Mile Island, Chornobyl, and Fukushima disasters produced increased nuclear safety. I wonder which magical property of AI makes it resistant to our inevitable improvements.
\ What can actually be stated with confidence is that it’s possible we might become too reliant on AI for problem-solving. It’s possible AI will collapse our institutions, but the sheer number of required failures to get there makes it virtually impossible. It’s also possible AI will be participating in the destruction of the planet, but if over 80 years of humanity having nuclear technology is any indication, we’re about 23.95 hours till midnight rather than 85 seconds.
\ To be clear, none of this means we shouldn’t be cautious; caution with a new disruptive technology should be a requirement. However, we all know the claims being made aren’t advising caution; that’s gone out the window, and they’re predicting disaster.
\ I suppose AI Will Erode Our Critical Thinking is a bit catchier than AI Will Erode Our Critical Thinking If We Simply Do Nothing But Twiddle All Our Thumbs As It Happens. How AI Destroys Institutions is a bold and head-turning title whose cup overflows with hyperbole; AI Has The Possibility To Generate Some Negative Effects On Our Institutions, So Let’s Prepare Ahead Of Time isn’t nearly so bold. AI Is Pushing Us Closer To Global Doom naturally gets many clicks; AI Is A New Tool, So Let’s Proceed Cautiously doesn’t, even if it’s more accurate.
So, what can be learned from these AI doom stories? Well, it seems they think you’re incompetent and can’t use AI responsibly. They think you’re not going to do anything to mitigate any potential problems from AI. They also think you are simply going to use it in a manner that is ultimately destructive. So really, what we’ve learned is that the soft bigotry of low expectations has come to the world of AI.
\ Oh joy.
2026-03-02 00:09:23
It’s fair to think that this could only be a myth, but it's actually not. There have been people who have become millionaires with Bitcoin and crypto investments. Does this mean you will do it, too? Who knows. The reality is more complex than just a little investment, and without a doubt, the crypto market is much more complex now than it was before.
What we do know, though, is that the stories of these people are real. The stats are real, and their luck or conscious decisions were real. At this point, when we say “crypto millionaire,” we mean someone who holds (or held in the past) at least one million US dollars in cryptocurrencies, measured by market value. Probably, this amount was initially just a few cents or dollars that grew with time and patience.
Let’s explore this idea of crypto millionaires and what they did to become one.
Most cryptocurrencies have public chains, so we have public stats. We know which addresses are richer, and how many. The Henley and Partners Crypto Wealth Report 2025 estimated that over 241,700 users worldwide held at least one million dollars in crypto assets at some point during the previous year. That count included around 145,100 Bitcoin millionaires alone, reflecting Bitcoin’s dominant share of total market value. We can even see that list in real time with percentages and USD equivalents.
To include some names, we have some reports of the top Bitcoin holders in 2026. Besides Satoshi Nakamoto and institutions like Binance, Robinhood, Bitfinex, Tether, and the US government, we also have unknown whales around, with millions and up to billions in BTC holdings.
Market capitalization and historical prices aren’t a myth, either. We can travel back to 2013, for instance, when the total crypto market cap was around $1.6 billion, and the Bitcoin price was about $135 per coin [CoinGecko]. By January 2026, the total market cap surpassed $3 trillion, and the Bitcoin price was at $86k (not to mention previous records of over $126k). That represents increases of 187,400% and up to 93,233%, respectively.
In other words, if you had bought $1,200 in BTC in 2013 and held on for dear life (HODL) all these years, you would have over one million dollars today.
Besides stats and anonymous addresses, we have some well-documented cases with names and stories. Likely the younger millionaire here is Erik Finman, who invested in Bitcoin when he was barely 12 years-old. His grandma gave him $1,000, and he bought BTC at $12 per unit in 2011. He founded an educational startup with his earnings in 2014 and sold it for 300 BTC in 2015. So, thanks to Bitcoin, he was a millionaire before turning 18.
https://youtu.be/MESDxMFmJ_I?si=1hVSVZDoX1rvDLZE&embedable=true
Dadvan Yousuf is another young investor: he sold some of his toys to invest in Bitcoin when he was just 11 years-old, in 2012. He also bought Ether in 2016 and made himself a millionaire with his crypto trades. Now, also speaking about Ether, Dan Conway is worth mentioning. He bet his life savings and family house on buying ETH in 2016, when the currency was barely known. The result was $13 million by 2017. He did his research, but of course, doesn’t recommend trying this extremely risky move at home (or with your house).
The Pineapple Fund isn’t exactly a non-anonymous case, but we know that the person behind it’s an early Bitcoin miner. This charity fund appeared in 2017, revealing plans to donate more than 5,000 BTC to ONGs and some individuals in need. That was between $55 and $86 million at the time. The organizer, “Pine,” explained that the coins had been acquired quietly years earlier and left untouched while Bitcoin climbed. They had more money than they could ever spend.
More recently, we can mention the case of two middle-aged brothers from New York. Tommy, James, and several of their family members bought about $8,000 in Shiba Inu (SHIB), a memecoin, before the price exploded in 2021. They ended up making up to $9 million.
Well, not every crypto millionaire around just bought and sat to wait. Some of them are familiar faces who became wealthy by building infrastructure or companies related to digital assets. Among them, Changpeng Zhao (CZ), founder of Binance, is also known for having sold his apartment to buy Bitcoin in 2013. He launched the exchange in 2017 after a successful Initial Coin Offering (ICO), and now, according to Forbes, he’s the 23rd richest person in the world, with a net worth of around $78.8 billion.
https://www.youtube.com/shorts/rINtJN1v6f8
Jihan Wu is another good example. He co-founded Bitmain in 2013, one of the largest manufacturers of ASIC machines for Bitcoin mining. In 2021, he also launched Bitdeer, which is among the largest Bitcoin miners by computing power. Wu’s net worth has been estimated at around $2.3 billion.
Around 2013 as well, when Bitcoin was young and Ethereum didn’t exist yet, Cameron and Tyler Winklevoss turned a famous $65 million legal settlement over Facebook into a huge cryptocurrency presence. They used about $11 million to buy Bitcoin when it was roughly $100-120 per coin, giving them 1% of all Bitcoin in existence at the time. Some years later, in 2014, they founded the regulated crypto exchange Gemini. This platform became one of the biggest U.S. exchanges for buying, selling, and storing digital assets. Forbes lists each twin with a net worth of around $3.7 billion as of early 2026, largely from crypto holdings and Gemini’s growth.
At this point, there are plenty of predictions. The dream of every crypto investor is to see Bitcoin reach one million per coin. If that’s even possible, we don’t know yet. If you can buy a memecoin for a few cents today and see a price explosion of 100,000%+ tomorrow, only luck can tell. All investors mentioned above went in before mainstream awareness, when prices were low, and uncertainty was high. Holding through sharp drops mattered just as much. This is really a mix of research and faith, but we need to remember that cryptocurrencies aren’t just speculation.
They were created as a way to get rid of middlemen like banks and governments. It’s free money (as in freedom) available for everyone, everywhere, anytime. If you have your keys, no one else can have your coins. In Obyte, we have our own Top 100 Richest List of addresses (for GBYTE holdings), but what really matters is that no middleman can take your coins away.
Without miners or “validators,” Obyte offers a multipurpose platform where you can trade and invest your crypto holdings without censorship concerns. At the end of the day, the first real step to becoming a millionaire is having complete control over your assets.
\n
:::info Featured Vector Image by macrovector / Freepik
:::
\n
\
2026-03-02 00:04:06
How are you, hacker?
🪐 What’s happening in tech today, March 1, 2026?
The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, John McCarthy's LISP Programmer's Manual Released in 1960, and we present you with these top quality stories. From Selling Master Data Management to Leadership: 6 Proven Strategies to The 7 Best Coparenting Apps in 2026, let’s dive right in.
By @microsoft [ 27 Min read ] Microsoft’s AutoDev uses AI agents to write, test, and fix code autonomously, hitting 91.5% on HumanEval in Docker. Read More.
By @solosatoshi [ 7 Min read ] I replaced $1,200/year in cloud subscriptions with one home server. Heres the setup, costs, apps, Bitcoin node, local AI, and what Id do differently. Read More.
By @confluent [ 5 Min read ] Learn how Python developers build real-time AI agents using MCP, Kafka, and Flink—modern agentic workflows explained on HackerNoon. Read More.
By @melissaindia [ 4 Min read ] Learn 6 proven strategies to secure executive buy-in for Master Data Management by aligning MDM with ROI, risk reduction, and business goals. Read More.
By @saumyatyagi [ 15 Min read ] Most teams plateau at AI writes code, a human reviews it. This article presents the Dark Factory Pattern — a four-phase architecture using holdout scenarios a Read More.
By @stevebeyatte [ 7 Min read ] Compare the 7 best co-parenting apps in 2026, including BestInterest, OurFamilyWizard, and TalkingParents. Find the right app for high-conflict situations. Read More.
By @chris127 [ 8 Min read ] Stablecoins arent just crypto dollars—theyre experiments in digital money stability. Each type offers different trade-offs, learn more about them here Read More.
By @mexcmedia [ 2 Min read ] MEXC COO Vugar Usi explains why retail-first exchanges are winning in crypto’s 2026 reset, leveraging zero-fee trading and user trust. Read More.
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We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love, The HackerNoon Team ✌️
2026-03-01 22:00:34
The Rust team is happy to announce a new version of Rust, 1.77.0. Rust is a programming language empowering everyone to build reliable and efficient software.
\
If you have a previous version of Rust installed via rustup, you can get 1.77.0 with:
$ rustup update stable
\
If you don't have it already, you can get rustup from the appropriate page on our website, and check out the detailed release notes for 1.77.0.
\
If you'd like to help us out by testing future releases, you might consider updating locally to use the beta channel (rustup default beta) or the nightly channel (rustup default nightly). Please report any bugs you might come across!
This release is relatively minor, but as always, even incremental improvements lead to a greater whole. A few of those changes are highlighted in this post, and others may yet fill more niche needs.
Rust now supports C-string literals (c"abc") which expand to a nul-byte terminated string in memory of type &'static CStr. This makes it easier to write code interoperating with foreign language interfaces which require nul-terminated strings, with all of the relevant error checking (e.g., lack of interior nul byte) performed at compile time.
async fn
Async functions previously could not call themselves due to a compiler limitation. In 1.77, that limitation has been lifted, so recursive calls are permitted so long as they use some form of indirection to avoid an infinite size for the state of the function.
\ This means that code like this now works:
async fn fib(n: u32) -> u32 {
match n {
0 | 1 => 1,
_ => Box::pin(fib(n-1)).await + Box::pin(fib(n-2)).await
}
}
offset_of!1.77.0 stabilizes offset_of! for struct fields, which provides access to the byte offset of the relevant public field of a struct. This macro is most useful when the offset of a field is required without an existing instance of a type. Implementing such a macro is already possible on stable, but without an instance of the type the implementation would require tricky unsafe code which makes it easy to accidentally introduce undefined behavior.
\
Users can now access the offset of a public field with offset_of!(StructName, field). This expands to a usize expression with the offset in bytes from the start of the struct.
Cargo profiles which do not enable debuginfo in outputs (e.g., debug = 0) will enable strip = "debuginfo" by default.
\ This is primarily needed because the (precompiled) standard library ships with debuginfo, which means that statically linked results would include the debuginfo from the standard library even if the local compilations didn't explicitly request debuginfo.
\ Users which do want debuginfo can explicitly enable it with the debug flag in the relevant Cargo profile.
array::each_refarray::each_mutcore::netf32::round_ties_evenf64::round_ties_evenmem::offset_of!slice::first_chunkslice::first_chunk_mutslice::split_first_chunkslice::split_first_chunk_mutslice::last_chunkslice::last_chunk_mutslice::split_last_chunkslice::split_last_chunk_mutslice::chunk_byslice::chunk_by_mutBound::mapFile::create_newMutex::clear_poisonRwLock::clear_poisonCheck out everything that changed in Rust, Cargo, and Clippy.
Many people came together to create Rust 1.77.0. We couldn't have done it without all of you. Thanks!
The Rust Release Team
\ Photo by Adam Valstar on Unsplash
\ Also published here
2026-03-01 22:00:04
The Markup, now a part of CalMatters, uses investigative reporting, data analysis, and software engineering to challenge technology to serve the public good. Sign up for Klaxon, a newsletter that delivers our stories and tools directly to your inbox.
\ Elizabeth Tyree was recently trying to teach her West Texas students about the connections between Emily Dickinson’s letters and her poetry. The project she designed asked students to read Dickinson’s correspondence and compare them to her art, finding examples of how one led to the other. Dickinson’s letters are available for free through The Internet Archive, a nonprofit, digital library that has, among other content, 44 million digitized books and texts at archive.org.
\ But Tyree and her students couldn’t get to them. Archive.org is blocked by their school district. The federal government effectively mandated web filters for schools in 2000 through the Children’s Internet Protection Act. At the time, filters were seen as an important way to keep kids from accessing online porn. A Markup investigation published earlier this month, however, showed these filters have morphed into tools of digital censorship, keeping students in some districts from abortion information, sex ed, and LGBTQ+ resources, including suicide prevention.
\ After our investigation published, teachers—including Tyree—took to social media to point out how the web filters frustrate them, too.
\ Tyree has been in classrooms for 16 years, teaching students of all ages a mix of English, writing, science, and music. Because the federal government only requires districts to keep students from obscene and harmful content and otherwise leaves them to block whatever else they want, Tyree has had different problems from one district to another. Sometimes tech support will unblock websites she asks to be unblocked, but her request to get her students access to Archive.org was recently denied over a concern that the website also hosts adult content.
\ “It was the only place online that we could get access to Emily Dickinson’s correspondence for free,” Tyree said. “We had to change the entire project.”
\ Kaitlyn D’Annibale, an athletic trainer in Washington, D.C. who works with high school athletes, has run into similar hurdles. She needs access to the healthcare website MedBridge both for continuing education and to create home exercise programs for the students she works with, but the site is blocked by her school.
\ “They pay for the membership, but I can’t access the site,” D’Annibale said.
\ When she needs to review hospital MRIs to assess students’ playing capacity, she can’t go through the hospital portal to open them because such portals are blocked. Her workaround? Wait until she gets home to look on her own computer.
\ She recently wanted to look up suicide prevention resources for a student. “Anything I put into Google that was ‘suicidal’ anything got blocked,” D’Annibale said. Eventually she made it to a useful PDF by getting creative with the wording of her search terms.
\ D’Annibale said she has asked for sites to be unblocked in the past but the process is tedious and resolution is short-lived. Sites that the IT department has unblocked for her have reverted to being blocked. She hasn’t been able to figure out why.
\ One commenter on TikTok said that the process for requesting sites be unblocked in her district requires her to do research about the blocked site (at home, where she can access it), make a case to an administrator, answer follow-up questions, wait for that person to take the request to a board for approval, and then answer more follow-up questions before a decision can be made.
\ Another described a similar situation: “My district has sites blocked that are actually in the curriculum. We’re supposed to contact our district [department] heads to ask them to get it unblocked. Like they don’t have enough to do. It’s ridiculous.”
\ Other teachers told The Markup about how hard it can be to make lesson plans for substitute teachers, because they aren’t sure which of the sites that are available to them are actually blocked to subs and students. They described indiscriminate blocks to YouTube, Pinterest, and Wikipedia—sites that have useful educational resources mixed in with other content.
\ Nancy Willard saw this all coming.
\ Back in 2000, Willard worked at the Center for Advanced Technology in Education at the University of Oregon and submitted testimony to the Children’s Internet Safety Committee, urging Congress not to require filters in the Children’s Internet Protection Act. Reached by phone this week, Willard called the filters a “technical, quick-fix solution” that either don’t work—because students find ways around them—or leave kids unprepared for the real world.
\ “Their world doesn’t have filtering software on their computers at home and their world as adults isn’t going to have filtering software,” Willard said. “So if they haven’t developed the self-control, the ability to assess credibility of information, the ability to focus on the task at hand and not go play [online games], if they haven’t developed that ability, how effective are they going to be as adults?”
\ Willard’s insistence that schools teach students about safe internet use made it into the law. Of course, much to her dismay and the continued frustration of teachers all over the country, the filtering requirement did, too.
\ Also published here
\ Photo by Gama. Films on Unsplash
2026-03-01 15:11:17
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## Microsoft’s AutoDev: The AI That Builds, Tests, and Fixes Code on Its Own
By @microsoft [ 27 Min read ]
Microsoft’s AutoDev uses AI agents to write, test, and fix code autonomously, hitting 91.5% on HumanEval in Docker. Read More.
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By @mexcmedia [ 2 Min read ] MEXC ranks No. 1 globally in XAUT perpetual volume, hitting $3.43B as tokenized gold demand rises amid record spot gold prices in 2026. Read More.
By @scylladb [ 4 Min read ] Discover how Yieldmo migrated from DynamoDB to ScyllaDB to cut database costs, achieve multicloud flexibility, and deliver ads in single-digit millisecond laten Read More.
By @opensourcetheworld [ 7 Min read ] I replaced $1,200/year in cloud subscriptions with one home server. Here's the setup, costs, apps, Bitcoin node, local AI, and what I'd do differently. Read More.
By @khamisihamisi [ 4 Min read ] Western tech is built in environments of abundance. In emerging markets, these assumptions often fail quickly. Read More.
By @davidiyanu [ 8 Min read ] Cloud cost and system reliability are the same problem viewed through different instruments. Read More.
By @thomascherickal [ 51 Min read ] Google Antigravity is not just for coding. It is for your entire computer. Stop scrolling - everything you do on a computer has just been automated. Read More.
By @johnpphd [ 4 Min read ] How precompiling context for AI agents beats context stuffing. Lessons from building 100+ specialized agents for a web3 application. Read More.
](https://hackernoon.com/the-complete-guide-to-ai-agent-memory-files-claudemd-agentsmd-and-beyond)** 
By @paoloap [ 7 Min read ]
Learn how CLAUDE.md, AGENTS.md, and AI memory files work. Covers file hierarchy, auto-memory, @imports, and which files you actually need for your setup. Read More.
By @paoloap [ 8 Min read ]
I almost returned the $4,000 DGX Spark. Then NVIDIA dropped 30 playbooks, 2.5x performance gains, and hybrid routing.
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