job – Earlybirds Invest https://earlybirdsinvest.com Latest Crypto News Mon, 01 Sep 2025 23:40:45 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.11 https://i0.wp.com/earlybirdsinvest.com/wp-content/uploads/2024/12/cropped-New-Project-2024-12-17T235703.455.png?fit=32%2C32&ssl=1 job – Earlybirds Invest https://earlybirdsinvest.com 32 32 240146708 AI job market: Careers are being upturned by artificial intelligence. https://earlybirdsinvest.com/ai-job-market-careers-are-being-upturned-by-artificial-intelligence/ https://earlybirdsinvest.com/ai-job-market-careers-are-being-upturned-by-artificial-intelligence/#respond Mon, 01 Sep 2025 23:40:44 +0000 https://earlybirdsinvest.com/ai-job-market-careers-are-being-upturned-by-artificial-intelligence/

Colton Masi checked off every box in his quest to land a good job in the computer science industry after college.

The 23-year-old attended Drexel University, a Philadelphia school distinguished by its focus on real-life job experience. And he majored in software engineering, a discipline he had been hearing his whole life was synonymous with stable, high-paying work. It was all part of his plan to avoid the fate that befell so many millennials after the Great Recession.

“When I was 13, I was online all the time.” Colton told Today, Explained co-host Noel King. “I was on Tumblr, and I was seeing a lot of these currently graduating young adults kind of talk about their struggles with the job market and getting themselves established…I was always like, ‘Oh no, I need to do something that’s going to get me a job.’”

So Masi took the advice offered by everyone from Joe Biden to Chris Bosh to Ashton Kutcher in that era: he learned to code.

But Masi graduated from Drexel this past June into a historically bad job market for entry-level computer science positions. Since then he’s applied to about 100 jobs — none have even offered an interview.

“It’s like, you do everything right. You follow the instructions, but the field changes,” Colton said. “There’s nothing you can do about it. It’s just: keep it pushing until you find something.”

Masi’s situation is increasingly common for recent college graduates and others seeking to break into white-collar industries like computer science and marketing.

“I hear about a lot of rejection from job seekers,” Lindsay Ellis, a reporter for the Wall Street Journal who has been crunching the numbers on the entry-level job decline, told Noel King. “[The] market feels kind of stuck to a lot of people.”

Ellis talked to King about why big companies are planning on a future with far fewer entry-level employees, the wild lengths people are going to to find a job, and what career advice executives are giving their own kids.

Below is an excerpt of their conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify.

If I were to guess at what’s going on, I would say this must have something to do with AI. Is that it?

That’s a factor, and I think is layered on top of a bunch of other factors that have caused the white-collar market to slow considerably over the last few years.

You know, starting in maybe late 2022, early 2023, companies and hiring managers were really pumping the brakes in a lot of sectors. There were the tons of tech layoffs that started in ’23, but from inflation [and] geopolitical conflict, then the looming election and a lot of uncertainty — in terms of policy — [about] which way things were going to go. If a hiring manager is saying, “Hey, can we hold off on making this hire and maybe have a little bit more buffer in terms of headcount, in terms of payroll costs,” they might see how long they can last without making that hire.

And then you add in AI as a layer on top of all of this, and the calculation is totally different. I talked to James Hornick, who’s the chief growth officer at the Chicago-based recruiting firm Hirewell. And he told me that clients have all but stopped requesting entry-level staff. Those young grads were once in high demand, but their work is now a home run for AI.

We’re always trying to figure out what is data and what is anecdata. You can hear one story about someone who applied for three or four jobs a day for a month and got nothing, and that will be the thing that sticks in your brain forever.

But the unemployment rate in the US right now is around 4.2 percent, which is super low, right? Is there a tension between the one extreme story and the actual trend?

Behind that number, I think you’ll see a couple of other trends that suggest that the picture is a little bit more complicated.

Number one is sort of labor data on the time it takes to find a job. And there are two things that my colleagues and I have been looking at. One is for unemployed Americans, it now takes them on average 24 weeks to find a job after losing one, and that’s nearly a month longer than a year prior.

And the number of long-term unemployed Americans — that’s people who are unemployed for at least 27 weeks — that figure is now 1.8 million people a year. Prior, it was like 1.5 [million]. So that’s an uptick too.

The other factor here is you think about which sectors are hiring at the moment, [and] much of the jobs growth is coming from state and local government, or sectors like health care, social assistance, leisure and hospitality, construction. A white-collar project manager probably wouldn’t be qualified for a role in health care or might not be looking for a local government job in a different state. So I think it’s also a question of matching opportunity to skillset and how that goes.

The job application process for a long time has been: There’s maybe a portal and you submit your resume, or you send an email to a hiring manager. Is AI changing the way we apply for jobs?

Oh my god, you have no idea.

This has been a total fascination of mine. The job application process now in many ways can in my mind be described as a robot-versus-robot arms race, basically.

What you hear from applicants is that they are super frustrated with corporate hiring software, which for many years will scan an applicant’s resume and cover letter and basic details and sort of rank them based on their qualifications. And they feel like that artificial intelligence basically forces good people to slip through the cracks.

So in response, [applicants are] using AI of their own to craft cover letters and resumes, using the job description and their own stuff to basically incorporate all of the keywords, [to] show how they’re responding to specific job responsibilities. There are even tools, though, that scan the entire internet for potential jobs and then just spray out a candidate’s application in seconds.

The whole thing has left applicants and employers super irritated, because employers are totally — all of their portals are getting clogged up, and it’s really hard to tell who is actually interested versus who is using really good prompts or keywords. Applicants are really frustrated because they will look at a job posting on LinkedIn, and it’ll say how many people have applied, and it’s like, Shoot, I have no chance here. Should I even still do this? Then if they do put time into their application, they might get a rejection hours later or at 2 in the morning on a Sunday. It just feels super impersonal, and both sides of the table are really frustrated.

What are young people being told to do now? What are the options?

I’ve been asking executives the same question. I mean both from a [perspective of], what are you talking to universities about — because there’s a lot of correspondence between business and higher ed — but also, what are you telling your own kids?

I talked to the chief executive of a consulting firm in Ohio, and he basically said, I’m telling my kids to really focus on jobs that really require in-person or client-facing communication. One of his children is becoming a police officer, and he said, while AI will affect the way he does his job, nothing replaces those relationships that are forged face-to-face in a community.

And now, chief executives are talking openly about AI’s immense capabilities, and how those might lead to job cuts, even more so than [just] at the entry levels. I mean, you had executives at Amazon, JPMorgan in recent weeks saying that they expect their workforces to shrink considerably. The CEO of Ford said he expects AI will replace half of the white-collar workforce in the US. Those are figures that suggest that people in various roles, various experience levels, should expect significant disruption.

You have spent a lot of time, all over the country, talking to people who are really struggling. What do you think about how these folks — many of them young people — are going to deal with all this?

Many people feel quite low. It’s a really hard stretch, and it’s a hard time to be on the market, and I don’t want to sugarcoat that.

I talked to some people who say, what’s really helped me is to get outside, do some gardening, go for a run, go swimming. Swimming is great. You can’t really have your phone in your hand. I will say, though: A lot of them are spending a lot of money to be able to hopefully speed up this process and stand out to employers and potential employers.

I talked to one guy who said he spent $10,000 on basically a marketing firm that’s treating him as the product, to basically get his resume out there, make him a website, try and introduce him to hiring managers and people who might know of jobs that aren’t posted publicly.
So I think for some people, it helps when they can funnel their frustration into, I’m going to do this; I’m going to really push myself hard. Other people have been telling me, look, this is a marathon, not a sprint. I need to make sure I’m taking time outside of this hunt to really keep my mental health steady.

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Football Pro Loses $240,000 in JPMorgan Chase Bank Scam, Triggering Inside Job Inquiry: Report https://earlybirdsinvest.com/football-pro-loses-240000-in-jpmorgan-chase-bank-scam-triggering-inside-job-inquiry-report/ https://earlybirdsinvest.com/football-pro-loses-240000-in-jpmorgan-chase-bank-scam-triggering-inside-job-inquiry-report/#respond Sat, 12 Jul 2025 15:48:41 +0000 https://earlybirdsinvest.com/football-pro-loses-240000-in-jpmorgan-chase-bank-scam-triggering-inside-job-inquiry-report/

A pro football player has lost a huge sum of cash to a bank fraud scheme, raising suspicions of insider involvement at JPMorgan Chase.

Minnesota Vikings linebacker Dallas Turner was duped out of $240,000 by a scammer who seemed to have intimate knowledge of his account, reports the Star Tribune.

Someone posing as a Chase banker called Turner and made him think his account was under attack.

Authorities are asking Chase to determine whether bank employees are involved because the scammer “was able to obtain sensitive account details including Turner’s full name, linked phone numbers and [his] LLC account info.”

The fraudster called Turner on February 19th, alleging an impostor was attempting a wire transfer.

Turner, convinced of the threat, rushed to a Chase branch and wired $120,000 to “Island Food Truck LLC.”

That same day, he visited a separate Chase branch and transferred $120,000 to “CNL FL LLC.”

Police say they have several suspects and charges are pending.

To date, around $2,500 of Turner’s cash has been recovered.

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‘123456’ password exposed chats for 64 million McDonald’s job applicants https://earlybirdsinvest.com/123456-password-exposed-chats-for-64-million-mcdonalds-job-applicants/ https://earlybirdsinvest.com/123456-password-exposed-chats-for-64-million-mcdonalds-job-applicants/#respond Sat, 12 Jul 2025 02:51:12 +0000 https://earlybirdsinvest.com/123456-password-exposed-chats-for-64-million-mcdonalds-job-applicants/

McDonald's sign

Cybersecurity researchers discovered a vulnerability in McHire, McDonald’s chatbot job application platform, that exposed the chats of more than 64 million job applicants across the United States.

The flaw was discovered by security researchers Ian Carroll and Sam Curry, who found that the ChatBot’s admin panel utilized a test franchise that was protected by weak credentials of a login name “123456” and a password of “123456”.

McHire, powered by Paradox.ai and used by about 90% of McDonald’s franchisees, accepts job applications through a chatbot named Olivia. Applicants can submit names, email addresses, phone numbers, home addresses, and availability, and are required to complete a personality test as part of the job application process.

Once logged in, the researchers submitted a job application to the test franchise to see how the process worked.

During this test, they noticed that HTTP requests were sent to an API endpoint at /api/lead/cem-xhr, which used a parameter lead_id, which in their case was 64,185,742.

The researchers found that by incrementing and decrementing the lead_id parameter, they were able to expose the full chat transcripts, session tokens, and personal data of real job applicants that previously applied on McHire.

This type of flaw is called an IDOR (Insecure Direct Object Reference) vulnerability, which is when an application exposes internal object identifiers, such as record numbers, without verifying whether the user is actually authorized to access the data.

“During a cursory security review of a few hours, we identified two serious issues: the McHire administration interface for restaurant owners accepted the default credentials 123456:123456, and an insecure direct object reference (IDOR) on an internal API allowed us to access any contacts and chats we wanted,” Carroll explained in a writeup about the flaw.

“Together they allowed us and anyone else with a McHire account and access to any inbox to retrieve the personal data of more than 64 million applicants.”

In this case, incrementing or decrementing a lead_id number in a request returned sensitive data belonging to other applicants, as the API failed to check if the user had access to the data.

Exploiting the IDOR bug to see McDonald's job applications
Exploiting the IDOR bug to see McDonald’s job applications

The issue was reported to Paradox.ai and McDonald’s on June 30.

McDonald’s acknowledged the report within an hour, and the default admin credentials were disabled soon after.

“We’re disappointed by this unacceptable vulnerability from a third-party provider, Paradox.ai. As soon as we learned of the issue, we mandated Paradox.ai to remediate the issue immediately, and it was resolved on the same day it was reported to us,” McDonald’s told Wired in a statement about the research.

Paradox deployed a fix to address the IDOR flaw and confirmed that the vulnerability was mitigated. Paradox.ai has since stated that it is conducting a review of its systems to prevent similar big issues from recurring.

Paradox also told BleepingComputer that the information exposed would be any chatbot interaction, such as clicking on a button, even if no personal information was entered.

Update 7/11/25: Added information from Paradox.

Tines Needle

While cloud attacks may be growing more sophisticated, attackers still succeed with surprisingly simple techniques.

Drawing from Wiz’s detections across thousands of organizations, this report reveals 8 key techniques used by cloud-fluent threat actors.

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Fake Crypto Job Interview Used to Spread 'PylangGhost' Malware https://earlybirdsinvest.com/fake-crypto-job-interview-used-to-spread-pylangghost-malware/ https://earlybirdsinvest.com/fake-crypto-job-interview-used-to-spread-pylangghost-malware/#respond Sat, 21 Jun 2025 21:41:05 +0000 https://earlybirdsinvest.com/fake-crypto-job-interview-used-to-spread-pylangghost-malware/

A hacking group tied to North Korea is running a new scam targeting people looking for crypto or blockchain jobs, according to Cisco Talos report on June 18.

The group, known as Famous Chollima (also referred to as Wagemole), has been using fake interviews to spread malware called “PylangGhost”.

This remote access trojan (RAT), built in Python, is based on an older malware strain called GolangGhost.

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The campaign mainly targets job seekers in India with experience in cryptocurrency. Victims are contacted by fake recruiters posing as representatives of companies, such as Coinbase



$780.2M

, Uniswap



$102.73M

, or Robinhood.

Hackers guide the targets through a fake hiring process, which starts with messages and links to job testing sites that appear genuine. After collecting basic information, they invite candidates to a video call that looks like a real interview.

During the call, they ask the victim to enable camera and microphone access and to run certain computer commands. They claim this is needed to install or update video drivers, but instead, it installs the PylangGhost malware.

Once the malware is active, it gives hackers remote access to the person’s computer. It can collect system information, take screenshots, move files, and stay connected to the machine.

Cisco Talos stated that the malware is used to steal login details from over 80 browser extensions, including MetaMask, Phantom, TronLink, 1Password, NordPass, Bitski, Initia, and MultiverseX. Many of these are used to manage cryptocurrency wallets.

Meanwhile, Mobile Threat Intelligence reported that Crocodilus, an Android malware, has become more dangerous due to recent updates. What can it do? Read the full story.

Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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Apple’s AI study can’t say whether AI will take your job https://earlybirdsinvest.com/apples-ai-study-cant-say-whether-ai-will-take-your-job/ https://earlybirdsinvest.com/apples-ai-study-cant-say-whether-ai-will-take-your-job/#respond Sat, 21 Jun 2025 02:39:39 +0000 https://earlybirdsinvest.com/apples-ai-study-cant-say-whether-ai-will-take-your-job/

In 2023, one popular perspective on AI went like this: Sure, it can generate lots of impressive text, but it can’t truly reason — it’s all shallow mimicry, just “stochastic parrots” squawking.

At the time, it was easy to see where this perspective was coming from. Artificial intelligence had moments of being impressive and interesting, but it also consistently failed basic tasks. Tech CEOs said they could just keep making the models bigger and better, but tech CEOs say things like that all the time, including when, behind the scenes, everything is held together with glue, duct tape, and low-wage workers.

It’s now 2025. I still hear this dismissive perspective a lot, particularly when I’m talking to academics in linguistics and philosophy. Many of the highest profile efforts to pop the AI bubble — like the recent Apple paper purporting to find that AIs can’t truly reason — linger on the claim that the models are just bullshit generators that are not getting much better and won’t get much better.

But I increasingly think that repeating those claims is doing our readers a disservice, and that the academic world is failing to step up and grapple with AI’s most important implications.

I know that’s a bold claim. So let me back it up.

“The illusion of thinking’s” illusion of relevance

The instant the Apple paper was posted online (it hasn’t yet been peer reviewed), it took off. Videos explaining it racked up millions of views. People who may not generally read much about AI heard about the Apple paper. And while the paper itself acknowledged that AI performance on “moderate difficulty” tasks was improving, many summaries of its takeaways focused on the headline claim of “a fundamental scaling limitation in the thinking capabilities of current reasoning models.”

For much of the audience, the paper confirmed something they badly wanted to believe: that generative AI doesn’t really work — and that’s something that won’t change any time soon.

The paper looks at the performance of modern, top-tier language models on “reasoning tasks” — basically, complicated puzzles. Past a certain point, that performance becomes terrible, which the authors say demonstrates the models haven’t developed true planning and problem-solving skills. “These models fail to develop generalizable problem-solving capabilities for planning tasks, with performance collapsing to zero beyond a certain complexity threshold,” as the authors write.

That was the topline conclusion many people took from the paper and the wider discussion around it. But if you dig into the details, you’ll see that this finding is not surprising, and it doesn’t actually say that much about AI.

Much of the reason why the models fail at the given problem in the paper is not because they can’t solve it, but because they can’t express their answers in the specific format the authors chose to require.

If you ask them to write a program that outputs the correct answer, they do so effortlessly. By contrast, if you ask them to provide the answer in text, line by line, they eventually reach their limits.

That seems like an interesting limitation to current AI models, but it doesn’t have a lot to do with “generalizable problem-solving capabilities” or “planning tasks.”

Imagine someone arguing that humans can’t “really” do “generalizable” multiplication because while we can calculate 2-digit multiplication problems with no problem, most of us will screw up somewhere along the way if we’re trying to do 10-digit multiplication problems in our heads. The issue isn’t that we “aren’t general reasoners.” It’s that we’re not evolved to juggle large numbers in our heads, largely because we never needed to do so.

If the reason we care about “whether AIs reason” is fundamentally philosophical, then exploring at what point problems get too long for them to solve is relevant, as a philosophical argument. But I think that most people care about what AI can and cannot do for far more practical reasons.

AI is taking your job, whether it can “truly reason” or not

I fully expect my job to be automated in the next few years. I don’t want that to happen, obviously. But I can see the writing on the wall. I regularly ask the AIs to write this newsletter — just to see where the competition is at. It’s not there yet, but it’s getting better all the time.

Employers are doing that too. Entry-level hiring in professions like law, where entry-level tasks are AI-automatable, appears to be already contracting. The job market for recent college graduates looks ugly.

The optimistic case around what’s happening goes something like this: “Sure, AI will eliminate a lot of jobs, but it’ll create even more new jobs.” That more positive transition might well happen — though I don’t want to count on it — but it would still mean a lot of people abruptly finding all of their skills and training suddenly useless, and therefore needing to rapidly develop a completely new skill set.

It’s this possibility, I think, that looms large for many people in industries like mine, which are already seeing AI replacements creep in. It’s precisely because this prospect is so scary that declarations that AIs are just “stochastic parrots” that can’t really think are so appealing. We want to hear that our jobs are safe and the AIs are a nothingburger.

But in fact, you can’t answer the question of whether AI will take your job with reference to a thought experiment, or with reference to how it performs when asked to write down all the steps of Tower of Hanoi puzzles. The way to answer the question of whether AI will take your job is to invite it to try. And, uh, here’s what I got when I asked ChatGPT to write this section of this newsletter:

Is it “truly reasoning”? Maybe not. But it doesn’t need to be to render me potentially unemployable.

“Whether or not they are simulating thinking has no bearing on whether or not the machines are capable of rearranging the world for better or worse,” Cambridge professor of AI philosophy and governance Harry Law argued in a recent piece, and I think he’s unambiguously right. If Vox hands me a pink slip, I don’t think I’ll get anywhere if I argue that I shouldn’t be replaced because o3, above, can’t solve a sufficiently complicated Towers of Hanoi puzzle — which, guess what, I can’t do either.

Critics are making themselves irrelevant when we need them most

In his piece, Law surveys the state of AI criticisms and finds it fairly grim. “Lots of recent critical writing about AI…read like extremely wishful thinking about what exactly systems can and cannot do.”

This is my experience, too. Critics are often trapped in 2023, giving accounts of what AI can and cannot do that haven’t been correct for two years. “Many [academics] dislike AI, so they don’t follow it closely,” Law argues. “They don’t follow it closely so they still think that the criticisms of 2023 hold water. They don’t. And that’s regrettable because academics have important contributions to make.”

But of course, for the employment effects of AI — and in the longer run, for the global catastrophic risk concerns they may present — what matters isn’t whether AIs can be induced to make silly mistakes, but what they can do when set up for success.

I have my own list of “easy” problems AIs still can’t solve — they’re pretty bad at chess puzzles — but I don’t think that kind of work should be sold to the public as a glimpse of the “real truth” about AI. And it definitely doesn’t debunk the really quite scary future that experts increasingly believe we’re headed toward.

A version of this story originally appeared in the Future Perfect newsletter. Sign up here!

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You’re Hired! North Korea’s new crypto scam starts with a job offer https://earlybirdsinvest.com/youre-hired-north-koreas-new-crypto-scam-starts-with-a-job-offer/ https://earlybirdsinvest.com/youre-hired-north-koreas-new-crypto-scam-starts-with-a-job-offer/#respond Fri, 20 Jun 2025 11:35:42 +0000 https://earlybirdsinvest.com/youre-hired-north-koreas-new-crypto-scam-starts-with-a-job-offer/

A new wave of cyberattacks shows the DPRK is exploiting the crypto industry’s recruitment funnel, using fake LinkedIn job offers, deep‑fake Zoom calls, and backdoored interview files to access Web3 developers’ wallets and repositories.

With seasoned developer talent already thinning and open‑source protocols increasingly reliant on individual contributors, the stakes have never been higher.

North Korean hackers developer infiltration

On 18 June , cybersecurity firm Huntress reported a campaign attributed to BlueNoroff, a notorious Lazarus Group subgroup targeting a developer at a major Web3 foundation.

The ruse began with a polished recruiter pitch on LinkedIn, followed by what appeared to be a Zoom interview with a senior executive. In reality, the video feed was a deep‑fake, and the “technical‑assessment” file the candidate was asked to run, `zoom_sdk_support.scpt`, deployed cross‑platform malware dubbed BeaverTail that can harvest seed phrases, crypto‑wallets, and GitHub credentials.

These tactics represent a sharp escalation. “In this new campaign, the threat‑actor group is using three front companies in the crypto consulting industry … to spread malware via ‘job‑interview lures,’” researchers at Silent Push wrote in April, referring to companies such as BlockNovas, SoftGlide, and Angeloper. All three maintained U.S. corporate registrations and LinkedIn job posts that easily passed HR sniff tests.

The FBI seized the BlockNovas domain in April . By then, multiple developers had reportedly sat through fake Zoom calls where they were urged to install custom apps or run scripts. Many complied.

These aren’t simple smash‑and‑grab scams but part of a well‑funded, state‑directed campaign. Since 2017, North Korean hacking groups have stolen over $1.5 billion in crypto, including the $620 million Ronin/Axie Infinity hack.

The stolen assets are routinely funneled through mixers such as Tornado Cash and Sinbad, laundering Pyongyang’s take and ultimately bankrolling its weapons programme, according to the U.S. Treasury.

“For years, North Korea has exploited global remote IT contracting and crypto ecosystems to evade U.S. sanctions and bankroll its weapons programs,” said Sue J. Bai of the DoJ’s National Security Division. On 16 June, her office announced the seizure of $7.74 million in crypto tied to the fake‑IT‑worker scheme.

Crypto developer focus

The targets are carefully selected. The open‑source nature of crypto protocols means that a single engineer, often pseudonymous and globally distributed, may hold commit privileges to critical infrastructure, from smart contracts to bridge protocols.

Electric Capital’s most recent publicly available Developer Report counted about 39,148 new active crypto developers, with total developers down roughly 7% year‑on‑year. Industry analysts say the supply of seasoned maintainers has only tightened, making each compromised developer disproportionately dangerous.

That imbalance is why the hiring pipeline itself has become a cybersecurity battleground. Once a front‑company recruiter gets past HR, engineers, eager for stability in a bearish market, may not spot the red flags in time. In several cases, the attackers even used Calendly links and Google Meet invites that silently redirected victims to attacker‑controlled Zoom look‑alike domains.

The malware stack is advanced and modular. Huntress and Unit 42 have catalogued BeaverTail, InvisibleFerret, and OtterCookie variants, all compiled with the Qt framework for cross‑platform compatibility. Once installed, the tools scrape browser extensions such as MetaMask and Phantom, exfiltrate `wallet.dat` files, and search for terms like “mnemonic” or “seed” in plaintext files.

Yet despite the technical sophistication, law‑enforcement pressure is mounting. The FBI’s domain seizures, the DoJ’s financial forfeitures, and Treasury sanctions on mixers have begun to raise the cost of doing business for Pyongyang’s hackers. The regime, however, remains adaptive.

Each new shell company, recruiter persona, or malware payload arrives wrapped in more convincing packaging. Thanks to generative‑AI tools, even the fake executives in live calls now look and move credibly. DeFi’s trustless systems still rely on a surprisingly small and vulnerable circle of trusted human maintainers.

North Korean crypto target onslaught

Recent CryptoSlate coverage paints a broader canvas of Pyongyang’s crypto onslaught. One year-end analysis found that North Korea-linked groups siphoned $1.34 billion from 47 hacks in 2024, which was a total of 61 % of all crypto stolen that year.

A big slice of that tally came from the $305 million breach of Japan’s DMM Bitcoin, which the FBI says started when a TraderTraitor operative posed as a LinkedIn recruiter and slipped a malicious “coding test” to a Ginco wallet engineer.

The same playbook escalated this February when the bureau attributed a record $1.5 billion Bybit exploit to Lazarus, noting the thieves had already laundered 100,000 ETH through THORChain within days.

North Korean operatives are impersonating venture capitalists, recruiters, and remote IT workers, using AI-generated profiles and deep-fake interviews, to earn salaries, exfiltrate source code, and extort firms in what Microsoft researchers call a “triple-threat” scheme.

In a world where jobs can be remote, trust is digital, and software runs the money, the subsequent state‑sponsored breach may begin not with an exploit but with a handshake.

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Crypto Con Job: Alabama Victims Scammed, Regulators Step In https://earlybirdsinvest.com/crypto-con-job-alabama-victims-scammed-regulators-step-in/ https://earlybirdsinvest.com/crypto-con-job-alabama-victims-scammed-regulators-step-in/#respond Tue, 17 Jun 2025 04:05:12 +0000 https://earlybirdsinvest.com/crypto-con-job-alabama-victims-scammed-regulators-step-in/

Alabama officials have recovered more than $125,000 in cryptocurrency for two residents who were tricked by online scams known as “pig butchering”.

In one case, a woman from Baldwin County met a scammer on the dating app Bumble. Over the course of three months, she was convinced to buy and transfer around $185,000 in crypto to what she believed was a trading platform.

When she later tried to withdraw her investment, which was shown as having grown to over $443,000, she was told to send more crypto to cover supposed taxes. That demand raised suspicions, and she reported the case to the authorities.

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The Alabama Securities Commission (ASC) managed to recover $53,227.81 for her.

The second case involved a resident of Etowah County who responded to an ad on WhatsApp. The scam claimed to be connected to the financial firm Charles Schwab and claimed to be properly registered.

The victim ended up sending $395,310 to the fraudulent platform. Wells Fargo Advisors flagged the activity when the person attempted to make large withdrawals for crypto investments. The ASC was able to recover $73,927.68 in that case.

ASC Director Amanda Senn noted that crypto-related fraud is on the rise and that many of these scams originate overseas. Once the funds are sent, they are hard to trace or recover due to the speed of crypto transactions.

SlowMist, a blockchain security firm, recently reported that a crypto holder lost nearly $6.9 million after purchasing a discounted cold wallet through Douyin, the Chinese version of TikTok. How did it happen? Read the full story.

Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.


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Donald Trump Warns Fed: Slash Rates or I’ll “Force Something” – Powell’s Job Still Safe https://earlybirdsinvest.com/donald-trump-warns-fed-slash-rates-or-ill-force-something-powells-job-still-safe/ https://earlybirdsinvest.com/donald-trump-warns-fed-slash-rates-or-ill-force-something-powells-job-still-safe/#respond Thu, 12 Jun 2025 23:59:58 +0000 https://earlybirdsinvest.com/donald-trump-warns-fed-slash-rates-or-ill-force-something-powells-job-still-safe/

Crypto Journalist

Anas Hassan

Crypto Journalist

Anas Hassan

About Author

Anas is a crypto native journalist and SEO writer with over five years of writing experience covering blockchain, crypto, DeFi, and emerging tech.

Last updated: 


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President Donald Trump has escalated his public feud with Federal Reserve Chair Jerome Powell, branding him a “numbskull” while simultaneously pledging not to fire the central bank chief despite mounting frustration over the Fed’s reluctance to slash interest rates.

Speaking at a White House event Thursday, Trump delivered his harshest criticism of Powell’s monetary policy approach, claiming that lowering rates by just one percentage point could save the United States $300 billion annually, while a two-point reduction would generate $600 billion in savings.

Why Trump Wants to ‘Force Something’

Trump’s latest verbal assault marks the third time in two days that his administration has publicly targeted Powell. It follows similar criticisms from Commerce Secretary Howard Lutnick and Vice President JD Vance, who called the Fed’s stance “monetary malpractice.”

The coordinated pressure campaign came from the administration’s growing impatience with the central bank’s independence, particularly as Trump faces re-election pressures and seeks to demonstrate economic leadership.

Despite repeatedly calling Powell “Too Late” and questioning why firing him would be controversial, Trump stopped short of threatening termination, instead ominously suggesting he “may have to force something” if rate cuts don’t materialize soon.

The timing of Trump’s criticism appears strategic, coming as recent economic indicators show inflation cooling and energy prices declining due to increased domestic drilling under his “drill, baby, drill” energy policy.

Trump Vows Not to Sack Powell – Yet Threatens “I May Have to Force Something” if Fed Doesn’t Slash Rates Fast!

Powell’s current term as Fed chair expires in May 2026, and Trump has hinted that an announcement regarding his nominee for the next Fed chair could come soon.

Harvard legal experts suggest that while Trump may have constitutional authority to remove Powell, such a move would likely trigger severe market volatility and undermine the Fed’s credibility as an inflation fighter, potentially causing long-term interest rates to spike even if short-term rates were cut.

Presidential Pressure Campaign Intensifies Fed Independence Debate

The escalating confrontation between Trump and Powell is a fundamental clash over Federal Reserve independence with deep constitutional and economic implications.

Trump’s frustration stems from his belief that the current interest rate environment unnecessarily burdens federal borrowing costs, particularly as the government faces mounting short-term debt obligations approved during the Biden administration.

Trump Vows Not to Sack Powell – Yet Threatens “I May Have to Force Something” if Fed Doesn’t Slash Rates Fast!

The president argued that Europe has implemented ten rate cuts while the Fed has delivered none, despite similar economic conditions and falling inflation metrics.

Legal scholars say that while the Federal Reserve Act of 1913 allows governors to be removed “for cause,” the Supreme Court’s recent decisions have gradually eroded the traditional “for cause” protections that independent agencies have enjoyed for 85 years.

Harvard Law School’s Daniel Tarullo, a former Fed Board member, suggests that three conservative justices have hinted at potentially treating the Federal Reserve differently from other agencies, possibly creating a carve-out based on the central bank’s historical precedent dating back to the First and Second Banks of the United States.

However, market dynamics may provide Powell with more protection than legal statutes, as any attempt to remove the Fed chair would likely trigger immediate and severe market reactions that would prove counterproductive to Trump’s economic objectives.

The anticipated market volatility is a powerful disincentive, particularly given that Treasury Secretary Scott Bessent has focused on maintaining stable 10-year Treasury rates, which are key for economic investment decisions.

Recent economic indicators have strengthened Trump’s argument for immediate monetary easing. Inflation data show continued price stability and energy costs declining due to expanded domestic oil production.

Trump Vows Not to Sack Powell – Yet Threatens “I May Have to Force Something” if Fed Doesn’t Slash Rates Fast!

The favorable Producer Price Index reading in May has calmed fears about tariff-induced inflation spikes, emboldening the administration to intensify pressure on the Fed while markets increasingly price in potential rate cuts later this year.


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JPMorgan Warns Slowdown Gradually Seeping Up and Spreading Across US Economy Despite Job Growth Topping Estimates https://earlybirdsinvest.com/jpmorgan-warns-slowdown-gradually-seeping-up-and-spreading-across-us-economy-despite-job-growth-topping-estimates/ https://earlybirdsinvest.com/jpmorgan-warns-slowdown-gradually-seeping-up-and-spreading-across-us-economy-despite-job-growth-topping-estimates/#respond Sun, 08 Jun 2025 20:13:23 +0000 https://earlybirdsinvest.com/jpmorgan-warns-slowdown-gradually-seeping-up-and-spreading-across-us-economy-despite-job-growth-topping-estimates/

Banking giant JPMorgan Chase warns that cracks are beginning to appear in various sectors of the US economy, even as the headlines remain upbeat.

In a new CNBC interview, JPMorgan chief global strategist David Kelly says that hard data is suggesting that the US economy is losing steam despite adding 139,000 jobs in May, beating expectations, and keeping the unemployment rate steady at 4.2%.

But under the hood, Kelly points out that the Labor Department revised down job gains in March and April, while noting that the US lost hundreds of thousands of jobs last month.

“This was a lot softer than the headlines suggested. To me, the one issue is that we saw over 600,000 jobs lost according to the Household Survey. That’s very volatile, but that was a negative signal.

The other thing is cutting 95,000 [jobs] out of the prior two months. 

So we’ve only averaged 124,000 jobs so far this year, per month, for the first five months of the year. It was 168,000 last year. 

When I’m looking at a lot of data, this slowdown is gradually seeping up and spreading across the economy. I think we’re missing it because we’re looking at headline payroll numbers or the weirdness in terms of trade and GDP. But this economy is gradually slowing down here.”

Data from the Pennsylvania-based lender PNC Bank shows that the number of adults working or looking for work dropped by 625,000 in May, effectively negating the number of jobs lost in the same month.

According to the bank, the labor force contraction may indicate that “potential workers are becoming discouraged.”

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Fake NFT Job Offer? BitMEX Stops Lazarus Group Hack in Its Tracks https://earlybirdsinvest.com/fake-nft-job-offer-bitmex-stops-lazarus-group-hack-in-its-tracks/ https://earlybirdsinvest.com/fake-nft-job-offer-bitmex-stops-lazarus-group-hack-in-its-tracks/#respond Mon, 02 Jun 2025 15:28:51 +0000 https://earlybirdsinvest.com/fake-nft-job-offer-bitmex-stops-lazarus-group-hack-in-its-tracks/

BitMEX



$30.38K

has blocked a phishing attempt linked to the Lazarus Group
, a hacking operation with ties to North Korea.

The exchange said in a May 30 blog post that the attackers used a fake job opportunity on LinkedIn to try and trick one of its employees.

The offer involved a supposed collaboration on a Web3 non-fungible token (NFT) project.

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The attackers then encouraged the employee to download and run a GitHub file. That file included hidden code meant to harm the computer. BitMEX’s security team caught the attempt and traced the source of the file to servers previously connected to the Lazarus Group activity.

During their investigation, the team also found that one of the IP addresses linked to the attack was based in Jiaxing, China. This discovery pointed to a possible mistake by the group, which helped confirm the link to North Korean operations.

BitMEX explained that the Lazarus Group often starts its attacks with simple methods like phishing, using emails or messages to trick people into opening harmful files. These are usually carried out by teams with basic skills.

More complex actions, such as moving through company networks or stealing large amounts of data, are likely handled by other teams with more experience.

BitMEX also pointed out that the term “Lazarus Group” covers several hacking teams believed to be under the control of the North Korean government. These teams have been blamed for stealing large sums of money through different kinds of cyberattacks.

On May 1, Kraken uncovered an attempt by a North Korean hacker to slip inside the company. How? Read the full story.

Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.


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