Study – Earlybirds Invest https://earlybirdsinvest.com Latest Crypto News Thu, 28 Aug 2025 20:42:27 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.7 https://i0.wp.com/earlybirdsinvest.com/wp-content/uploads/2024/12/cropped-New-Project-2024-12-17T235703.455.png?fit=32%2C32&ssl=1 Study – Earlybirds Invest https://earlybirdsinvest.com 32 32 240146708 AI Is Squeezing Out Entry-Level Jobs, New Stanford Study Finds https://earlybirdsinvest.com/ai-is-squeezing-out-entry-level-jobs-new-stanford-study-finds/ https://earlybirdsinvest.com/ai-is-squeezing-out-entry-level-jobs-new-stanford-study-finds/#respond Thu, 28 Aug 2025 20:42:27 +0000 https://earlybirdsinvest.com/ai-is-squeezing-out-entry-level-jobs-new-stanford-study-finds/

A recent study from Stanford University offers new insight into how artificial intelligence (AI) is affecting the job market.

The research, based on employment data from payroll company ADP, examined how jobs in fields more likely to be influenced by AI have changed.

The study found that people just starting their careers are being impacted the most. Since 2022, job opportunities for young workers in AI-sensitive roles have decreased by 13%. In comparison, older workers in the same fields have not seen the same kind of decline.

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For those just starting out in fields like customer support and software development, job numbers fell by about 20% between late 2022 and mid-2025. However, for more experienced workers doing similar jobs, employment actually increased.

Other areas affected similarly include accounting, administrative support, programming, and sales. Across these types of jobs, people aged 22 to 25 saw a 6% drop in employment. In contrast, older employees in the same industries experienced growth between 6% and 9%.

One reason for this trend may be that newer workers tend to rely more on the type of information that AI systems are also trained on.

On the other hand, more experienced employees often have practical knowledge gained over time. These skills, such as effective communication, decision-making, or work-specific insights, are more difficult for AI to copy.

On August 19, Microsoft’s head of artificial intelligence (AI), Mustafa Suleyman, raised concerns about the rapid progress of AI. What did he say? Read the full story.


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Study Finds Doctors Lose Skill After Relying on AI in Colonoscopies https://earlybirdsinvest.com/study-finds-doctors-lose-skill-after-relying-on-ai-in-colonoscopies/ https://earlybirdsinvest.com/study-finds-doctors-lose-skill-after-relying-on-ai-in-colonoscopies/#respond Wed, 20 Aug 2025 03:14:43 +0000 https://earlybirdsinvest.com/study-finds-doctors-lose-skill-after-relying-on-ai-in-colonoscopies/

A study in Poland has shown that gastroenterologists became less effective at spotting abnormalities after they grew used to working with artificial intelligence (AI) during colonoscopies.

According to an August 19 report by National Public Radio (NPR), the research was carried out at four clinics where doctors tested a system that reviewed live video and marked suspicious areas in real time.

When the software highlighted a region, doctors could check it immediately. The system was successful while in use, but the study also revealed an unintended effect.

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After relying on the tool, doctors’ ability to detect possible polyps fell from 28.4% before the trial to 22.4% once the AI was switched off. This means that detection rates dropped by about one-fifth when the automated help was removed.

The findings were published in The Lancet Gastroenterology and Hepatology.

Lead researcher Marcin Romańczyk, a gastroenterologist at H-T Medical Center in Tychy, said the results came as a surprise. He noted that many specialists were trained through textbooks and mentorship, but not in using advanced technology like AI, which is spreading through healthcare.

Romańczyk suggested that one possible reason for the drop is that clinicians may unconsciously wait for the system to mark a suspicious area, instead of carefully scanning the footage themselves.

Anthropic recently added a new option to certain Claude models that lets them close a chat in very limited cases. What does the feature include? Read the full story.


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Major Breach Study Reveals Widespread Leaks of Bank Statements, SSNs, and Crypto Keys https://earlybirdsinvest.com/major-breach-study-reveals-widespread-leaks-of-bank-statements-ssns-and-crypto-keys/ https://earlybirdsinvest.com/major-breach-study-reveals-widespread-leaks-of-bank-statements-ssns-and-crypto-keys/#respond Tue, 29 Jul 2025 12:15:17 +0000 https://earlybirdsinvest.com/major-breach-study-reveals-widespread-leaks-of-bank-statements-ssns-and-crypto-keys/

Crypto Journalist

Amin Ayan

Crypto Journalist

Amin Ayan

About Author

Amin Ayan is a crypto journalist with over four years of experience in the industry. He has contributed to leading publications such as Cryptonews, Investing.com, 99Bitcoins, and 24/7 Wall St. He has…

Last updated: 


Why Trust Cryptonews

Cryptonews has covered the cryptocurrency industry topics since 2017, aiming to provide informative insights to our readers. Our journalists and analysts have extensive experience in market analysis and blockchain technologies. We strive to maintain high editorial standards, focusing on factual accuracy and balanced reporting across all areas – from cryptocurrencies and blockchain projects to industry events, products, and technological developments. Our ongoing presence in the industry reflects our commitment to delivering relevant information in the evolving world of digital assets. Read more about Cryptonews

A new study has revealed the extent of sensitive information leaked through ransomware attacks and data breaches, including key financial documents and crypto keys.

Key Takeaways:

  • Unstructured files like financial documents and crypto keys are being widely exposed in breaches.
  • Cryptographic keys were found in 18% of incidents, posing serious security risks.
  • Cybercriminals are mining breached data like data scientists, targeting high-value information.

The report, published by cybersecurity firm Lab 1, analyzed over 141 million records from 1,297 breach incidents.

Unlike most breach assessments that focus on structured data like usernames and passwords, Lab 1’s analysis targeted unstructured files, the type often overlooked but potentially more damaging.

Hidden Dangers: Financial Docs, Crypto Keys, and Emails Exposed

The breaches include financial documents, cryptographic keys, email archives, and internal business records.

According to Lab 1 CEO Robin Brattel, the goal was to expose the risks hidden in everyday files that rarely draw attention.

“We focused on the huge risks associated with unstructured files that often hold high-value information, such as cryptographic keys, customer account data, or sensitive commercial contracts,” he said.

The findings are alarming. Financial documents appeared in 93% of the breach incidents studied, accounting for 41% of all analyzed files.

Nearly half included bank statements, and over a third contained International Bank Account Numbers.

In 82% of the cases, customer or corporate personally identifiable information (PII) was exposed, much of it originating from customer service interactions.

A staggering 51% of incidents included emails containing U.S. Social Security numbers.

Perhaps most concerning was the discovery of cryptographic keys in 18% of the breaches.

These keys can be used to bypass authentication systems, giving attackers a powerful advantage in future cyber intrusions. Source code and internal scripts were also widely leaked, appearing in 17% of the analyzed data sets.

The study underscores a shift in cybercriminal tactics. Hackers are increasingly operating like data scientists, mining stolen data for high-value assets to use in fraud, identity theft, or ransomware follow-ups.

“With cybercriminals now behaving like data scientists to unearth these valuable insights to fuel cyberattacks and fraud, unstructured data cannot be ignored,” Brattel warned.

16 Billion Logins Leaked: New Mega Breach Puts Crypto Users at Risk

Last month, a massive data breach exposed more than 16 billion login credentials from platforms like Apple, Google, Facebook, Telegram, and GitHub, according to cybersecurity researchers at Cybernews.

The breach, among the largest ever recorded, is not a single leak but a combination of datasets gathered through infostealer malware, credential stuffing attacks, and undisclosed breaches tracked since early 2024. Some individual sets held as many as 3.5 billion entries.

Researchers warned the leaked credentials—many recently harvested—pose a severe threat to users, especially those in crypto, due to the inclusion of sensitive login details, cookies, and tokens.

The structure of the data suggests it was harvested by modern malware, making it far more dangerous than older, recycled leaks.

One dataset tied to Telegram included 60 million records, while another, allegedly linked to Russia, had over 455 million.

Much of the data was found in unsecured Elasticsearch databases and object storage systems, briefly exposed but long enough to be copied.

Although the exact source remains unclear, cybersecurity experts suspect criminal actors compiled the records.

With such a vast trove of credentials, attackers now have tools for phishing, ransomware, and unauthorized access to crypto wallets, especially for users lacking multi-factor authentication.


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Bitget Study Uncovers Crypto Usage in Purchases, Gaming, and Travel https://earlybirdsinvest.com/bitget-study-uncovers-crypto-usage-in-purchases-gaming-and-travel/ https://earlybirdsinvest.com/bitget-study-uncovers-crypto-usage-in-purchases-gaming-and-travel/#respond Sat, 19 Jul 2025 21:31:56 +0000 https://earlybirdsinvest.com/bitget-study-uncovers-crypto-usage-in-purchases-gaming-and-travel/

A new report from Bitget has revealed that crypto adoption trends are shifting from speculation to spending.

Based on an online survey of 4,599 participants from the Bitget Wallet community, the data showed that over 35% use it for daily transactions, gaming, and travel.

A Global Shift

The study shared with CryptoPotato had respondents outlining their digital asset payment preferences across categories. The data was then analyzed to identify global patterns, generational behaviors, and regional differences.

Worldwide, the top use cases are gaming at 36%, daily purchases at 35%, and travel bookings at 35%. Further, 32% of participants said they have adopted these assets for digital products, with the same percentage spending them on gifting, while 30% put them in education.

Crypto wallet use also includes luxury goods, utility bills, subscriptions, real estate, car leases or purchases, and healthcare services.

Overall, people prefer incorporating digital assets in their daily spending (35%) over online shopping (31%). These findings indicate that users are integrating virtual currencies into practical and everyday expenditures.

East Asia had the leading global interest in digital products and daily purchases, each accounting for 41%. On the other hand, Southeast Asia dominated gaming, with 41%, and gifting, with 36%. This trend is driven by a young, mobile-first population and widespread adoption of play-to-earn (P2E) models alongside a strong digital gifting culture. The region has also shown high openness to in-store QR payments.

In the Middle East, users showed interest in gaming (41%), luxury goods (31%), and car purchases (29%), suggesting cryptocurrency is used for high-value spending in regions with strong purchasing power and regulatory support.

Meanwhile, Africa ranks highest for education payments, reaching 38%, driven by the continent’s demand for cross-border access to learning and the need to overcome gaps in traditional banking infrastructure.

In Latin America, 38% of people utilize crypto for digital product purchases and 35% for online shopping. Additionally, 41% of users in the region reported having wallets for on-chain yield generation to preserve and grow value amid weakening fiat currencies.

Elsewhere, Western and Eastern Europe both rank top in travel bookings at 37%, with the latter also leading in real estate payments (29%). On the other hand, North America and Oceania show balanced use, with gaming and daily spending at 33%.

Use Cases Across Age Groups

The survey also collected data on the spending habits of different generations. About 39% of Gen Z prefer digital assets for gaming, 35% for gifting, and 29% for entertainment subscriptions. This group values fast, user-friendly, and social payment experiences.

Bitget revealed that 36% of Millennials preferred using on-chain funds to settle travel costs, with 35% favoring it for gaming and digital products. According to the study, this group has largely adopted virtual currencies for both convenience and value, especially in cross-border payments and mobile services.

Gen X used crypto the most in travel bookings, with about 40% reportedly doing it. Some 36% used it for digital product purchases and online shopping. They also use such assets for utility bills (30%) and real estate (30%). This generation focuses more on secure and practical spending, often for larger or essential purchases.

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US and UAE Offer Top Crypto Jobs Prospects, From Salary to Demand: Study https://earlybirdsinvest.com/us-and-uae-offer-top-crypto-jobs-prospects-from-salary-to-demand-study/ https://earlybirdsinvest.com/us-and-uae-offer-top-crypto-jobs-prospects-from-salary-to-demand-study/#respond Mon, 14 Jul 2025 06:19:19 +0000 https://earlybirdsinvest.com/us-and-uae-offer-top-crypto-jobs-prospects-from-salary-to-demand-study/

Crypto Reporter

Shalini Nagarajan

Crypto Reporter

Shalini Nagarajan

About Author

Shalini is a crypto reporter who provides in-depth reports on daily developments and regulatory shifts in the cryptocurrency sector.

Last updated: 


Why Trust Cryptonews

Cryptonews has covered the cryptocurrency industry topics since 2017, aiming to provide informative insights to our readers. Our journalists and analysts have extensive experience in market analysis and blockchain technologies. We strive to maintain high editorial standards, focusing on factual accuracy and balanced reporting across all areas – from cryptocurrencies and blockchain projects to industry events, products, and technological developments. Our ongoing presence in the industry reflects our commitment to delivering relevant information in the evolving world of digital assets. Read more about Cryptonews

The global crypto jobs market is heating up, just as Bitcoin smashed through $122,000 for the first time on July 14.

As interest in digital assets soars, a new study reveals where the most promising crypto careers are taking shape, and which countries offer the best mix of pay, opportunity and regulation.

A recent Taurex study shows the US tops the list, cementing its role as the world’s largest crypto ecosystem.

With 292 active job listings and an average salary of $148,100, crypto careers in the US now rival some of the best-paying roles in traditional finance. The country is also home to 170 crypto companies, reflecting a well-established infrastructure and supportive policy environment.

UAE Leads in Crypto Ownership, India in Company Count and User Base

Trailing just behind, the United Arab Emirates has carved out a stronghold of its own. The UAE not only offers the second-highest average salary at $111,483, but also boasts the highest Bitcoin ownership rate globally, at 27%. Online search interest in crypto jobs remains strong, displaying its appeal to both domestic and international talent.

Image Source: Taurex

India ranks third, driven by sheer scale. It hosts 173 crypto companies, the most of any country, and has the world’s largest number of Bitcoin owners by headcount. While average salaries trail behind at $83,687, India’s growing talent pool and expanding startup ecosystem make it a key player in the space.

Singapore comes in fourth, offering 72 active roles with an average salary above $100,000. The city-state leads all countries in search interest for crypto jobs, suggesting a high concentration of tech-savvy professionals looking to make a mark in Web3.

Top Crypto Salaries and Strong Policy Support Keep Europe in the Game

The UK rounds out the top five, with 66 listings and an average salary of $97,204. It also shows robust search interest and a stable regulatory framework, making it Europe’s most attractive destination for crypto talent.

Canada, Switzerland and Germany also place in the top ten, each offering six-figure salaries and maintaining solid regulatory standings. Switzerland, in particular, stands out for having the highest crypto regulation score at 9.5, while Germany leads Europe in job count with 84 listings.

Emerging Markets Like Poland Join Established Hubs in Crypto Job Boom

Further down the list, Hong Kong and Poland secure the ninth and tenth spots, respectively. Hong Kong’s crypto sector remains active, supported by strong search interest and competitive salaries. Poland, meanwhile, ranks high in job volume with 157 listings, though salaries remain more modest at just under $62,000.

With the crypto market now worth over $3.8 trillion and Bitcoin pushing into record highs, the demand for blockchain talent is climbing fast. From rising salaries to growing job listings and clearer regulations, crypto careers are moving into the mai nstream,and countries around the world are racing to draw in the best talent.


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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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Relying Heavily on ChatGPT Could Weaken Thinking Skills, MIT Study Warns https://earlybirdsinvest.com/relying-heavily-on-chatgpt-could-weaken-thinking-skills-mit-study-warns/ https://earlybirdsinvest.com/relying-heavily-on-chatgpt-could-weaken-thinking-skills-mit-study-warns/#respond Thu, 19 Jun 2025 08:36:45 +0000 https://earlybirdsinvest.com/relying-heavily-on-chatgpt-could-weaken-thinking-skills-mit-study-warns/

A new study from MIT has found that relying too much on artificial intelligence (AI) tools like ChatGPT could hinder the ability to think clearly and remember information.

Researchers at the university’s Media Lab asked 54 people to complete writing tasks over four sessions. Each person used one of three methods, which were writing without help, using a search engine, or relying on ChatGPT.

In the final session, people who had used ChatGPT were asked to write without any tools, while those who had worked without help were told to try using the chatbot. The result showed that over 83% of the ChatGPT users could not remember parts of what they had just written.

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In a June 18 post on X, Alex Vacca, co-founder of ColdIQ, said the AI tool might not be helping people work better, but instead weakening their thinking. He explained that when ChatGPT handles the task, people seem to forget what was written almost right away.

To better understand what was happening in the brain, researchers used EEG machines to track brain activity during each task. They found that brain activity dropped the more someone relied on an AI tool.

People who wrote without help showed the highest level of mental effort. Those who used search engines were in the middle. Meanwhile, participants using ChatGPT showed the lowest levels of brain engagement.

The study also discusses a concept known as “cognitive debt”. This means that it may save energy in the moment when people rely on AI tools, but there could be long-term downsides. These include weaker problem-solving, less original thinking, and being more easily influenced by others.

Meanwhile, a study published in Nature Human Behavior on May 19 found that GPT-4 was more persuasive than humans in 64% of debates. 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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New study finds self-driving cars safer than human drivers https://earlybirdsinvest.com/new-study-finds-self-driving-cars-safer-than-human-drivers/ https://earlybirdsinvest.com/new-study-finds-self-driving-cars-safer-than-human-drivers/#respond Sun, 04 May 2025 23:58:23 +0000 https://earlybirdsinvest.com/new-study-finds-self-driving-cars-safer-than-human-drivers/

I have some bad news: You are almost certainly a worse driver than you think you are.

Humans drive distracted. They drive drowsy. They drive angry. And, worst of all, they drive impaired far more often than they should. Even when we’re firing on all cylinders, our Stone Age-adapted brains are often no match for the speed and complexity of high-speed driving. There’s as much as a 2.5-second lag between what we perceive and how fast we can react in a vehicle traveling 60 mph, which means a car will travel the equivalent of two basketball court lengths before its driver can even hit the brake.

The result of this very human fallibility is blood on the streets. Nearly 1.2 million people die in road crashes globally each year, enough to fill nine jumbo jets each day. Here in the US, the government estimates there were 39,345 traffic fatalities in 2024, which adds up to a bus’s worth of people perishing every 12 hours.

The good news is there are much, much better drivers coming online, and they have everything human drivers don’t: They don’t need sleep. They don’t get angry. They don’t get drunk. And their brains can handle high-speed decision-making with ease.

The average American adult will spend around three years of their life driving. If robots could take the wheel instead, well, think of all the Netflix shows we could stream instead.

But the true benefit of a self-driving revolution will be in lives saved. And new data from the autonomous vehicle company Waymo suggests that those savings could be very great indeed.

In a peer-reviewed study that is set to be published in the journal Traffic Injury Prevention, Waymo analyzed the safety performance of its autonomous vehicles over the course of 56.7 million miles driven in Austin, Los Angeles, Phoenix, and San Francisco — all without a human safety driver present to take the wheel in an emergency. They then compared that data to human driving safety over the same number of miles driven on the same kind of roads.

The results of the study, almost certainly the biggest and most comprehensive research on self-driving car safety yet released, are striking.

A master class in driving safety

Compared to human drivers, the Waymo self-driving cars had:

  • 81 percent fewer airbag-deploying crashes
  • 85 percent fewer crashes with suspected serious or worse injuries
  • 96 percent fewer injury crashes at intersections (primarily because Waymo detects red lights faster than humans)
  • 92 percent fewer crashes that involve injuries to pedestrians.

Had the typical human-driven fleet of cars covered those same 56.7 million miles, the Waymo researchers project it would have resulted in an estimated 181 additional injury crashes, 78 additional air-bag crashes, and 11 extra serious-injury crashes.

But the numbers really get eye-popping when you extend this data across all 3.3 trillion vehicle miles driven by humans in the US in a typical year. Back-of-the-envelope calculations suggest that if the same 85 percent reduction seen in serious crashes held true for fatal ones — a big if, to be clear, since the study had too few fatal events to measure — we’d save approximately 34,000 lives a year. That’s five times the number of Americans who died in the Iraq and Afghanistan wars combined.

Don’t get in the way of progress

Of course, there are plenty of caveats to the Waymo study and even more obstacles before we could ever achieve anything like what’s outlined above.

In part because serious injury crashes are (thankfully) very rare, even 56.7 million miles isn’t long enough for researchers to be really sure that such crashes would occur significantly less often with robot drivers, so more data will be needed there. Waymo’s cars were also being driven largely in warm, sunny locations, operating in geofenced areas that had been heavily mapped by the company. It’s far less certain how they might do in, let’s say, the snowy streets of Boston in the winter.

This is also a company-run study, though it has been peer-reviewed by outside experts. And even if we decided to go all in on AI drivers, actually producing enough autonomous vehicles to begin to replace human-driven cars and trucks would be an enormous undertaking, to say the least.

Still, the data looks so good, and the death toll on our roads is so high that I’d argue slowing down autonomous vehicles is actually costing lives. And there’s a risk that’s precisely what will happen.

Too often the public focuses on unusual, outlier events with self-driving cars, while the carnage that occurs thanks to human drivers on a daily basis is simply treated as background noise. (That’s an example of two common psychological biases: availability bias, which causes us to judge risk by outlier events that jump easily to mind, and base-rate neglect, where we ignore the underlying frequency of events.) This misapprehension is something I often see in news coverage and consumption, and it’s one of the reasons I started Good News.

The result is that public opinion has been turning against self-driving cars in recent years, to the point where vandals have attacked autonomous vehicles on the street. And of course, given that nearly 5 million Americans make their living primarily through driving, any wide-scale movement to self-driving vehicles would bring significant economic disruption.

But still, 34,000 lives saved on an annual basis would represent tremendous progress. Maybe, after about 100 years of trying, it’s time to give something else a chance behind the wheel.

A version of this story originally appeared in the Good News newsletter. Sign up here!

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TJ Miller: Celebs Skip Bitcoin Because They Won’t Study It https://earlybirdsinvest.com/tj-miller-celebs-skip-bitcoin-because-they-wont-study-it/ https://earlybirdsinvest.com/tj-miller-celebs-skip-bitcoin-because-they-wont-study-it/#respond Mon, 28 Apr 2025 20:14:02 +0000 https://earlybirdsinvest.com/tj-miller-celebs-skip-bitcoin-because-they-wont-study-it/

While many celebrities have stepped into crypto through flashy projects, comedian and actor TJ Miller has stayed focused on Bitcoin
BTC


$94,488.77

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In a conversation dated April 22 with Natalie Brunell on the Coin Stories podcast, Miller explained why more famous names have not seriously embraced Bitcoin.

He believes the biggest reason is simple: learning about Bitcoin takes real effort. According to Miller, it takes “about 50 hours of study” to properly understand it. However, convincing people, especially celebrities, to commit that much time is difficult.

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Miller believes that learning about Bitcoin means changing the way you look at life, not just money or technology. In his view, Hollywood does not encourage people to think differently, which is a reason why few entertainers have shown real interest in Bitcoin.

At a Bitcoin lunch hosted by Anthony Pompliano, Miller introduced himself as “the only celebrity that is a Bitcoiner”. While some celebrities have gotten involved with cryptocurrency by launching meme coins—like Iggy Azalea, Caitlyn Jenner, and Hailey Welch (“Hawk Tuah”)—Miller sees a big difference between promoting coins for attention and truly understanding Bitcoin.

He also shared that he had been encouraging people to invest in Bitcoin years ago, back when the price was between $8,000 and $12,000. At the time, he told friends to “just put $1,000 into Bitcoin”, hoping they would start learning through experience.

Bitcoin has recently shown signs that it can serve as a safe place for value during periods of market stress, according to New York Digital Investment Group (NYDIG). What did Greg Cipolaro, head of research at NYDIG, say about it? 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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The Market's Compass Emerging Markets Country ETF Study https://earlybirdsinvest.com/the-markets-compass-emerging-markets-country-etf-study/ https://earlybirdsinvest.com/the-markets-compass-emerging-markets-country-etf-study/#respond Sun, 20 Apr 2025 06:14:42 +0000 https://earlybirdsinvest.com/the-markets-compass-emerging-markets-country-etf-study/

Welcome to The Market’s Compass Emerging Market’s Country ETF Study, Week #537. As always, it highlights the technical changes of the 20 EM Country ETFs that I track on a weekly basis and publish every third week. Paid subscribers will receive this week’s unabridged Emerging Market’s Country ETF Study sent to their registered e-mail. In celebration of the Easter Holiday, free subscribers will also receive the full version (in a thinly veiled attempt to lure them into becoming paid subscribers). Past publications can be accessed by paid subscribers via The Market’s Compass Substack Blog. Next week I will be publishing The Market’s Compass Developed Markets Country ETF Study. On Sunday I will publish the latest edition of The Market’s Compass Crypto Sweet Sixteen Study which I publish on a weekly basis and tracks the technical changes of sixteen of the larger capitalized Cryptocurrencies.

To understand the methodology used in constructing the objective EM Country ETF Individual Technical Rankings visit the mc’s technical indicators page at www.themarketscompass.com and select “em country etfs”.

To understand the methodology used in constructing the objective EM Country ETF Individual Technical Rankings visit the mc’s technical indicators page at www.themarketscompass.com and select “em country etfs”.

This past week The Total EM Technical Ranking or “TEMTR” rose +22.92% to 539 from 438.5 the previous week, which was another sharp rise of +28.78% to 438.5 from 340.5 three weeks ago. The Total Lat AM EM Ranking led the other two geographic regions higher, rising 28.7% to 181.5 from 141. The EMEA EM Total Technical Ranking rose 20.7% to 181 from 150 the previous week. The Total Asia-Pacific EM Ranking rose 19.7% to 176.5 from 147.5.

Seventeen of the twenty EM Country ETFs I track in these pages registered improvement in their TRs over the Good Friday Holiday shortened week ending April 17th, one was unchanged, and two ETF TRs fell. The average TR gain was +5.03 vs. the previous week’s average TR gain of +4.90 when fifteen out of twenty gained ground, two were unchaged, and two fell. Seven of the EM Country ETF TRs ended the week in the “green zone” (TRs between 34.5 and 50), nine were in the “blue zone” (TRs between 15.5 and 34) and four were in the “red zone” (TRs between 0 and 15). That was a improvement from the previous week when only two were in the “green zone”, eleven were in the “blue zone” and seven were in the “red zone”. All five of the Lat/ AM ETFs registered improvement in their TRs with four out of the five entering the “green zone”.

*To understand the construction the of The Technical Condition Factors visit the mc’s technical indicators page at www.themarketscompass.com and select “em country etfs”.

This past week a 76.43% reading was registered in the Daily Momentum Technical Condition Factor (”DMTCF”) or 107 out of a possible total of 140 positive points. That was higher from the week before reading of 42.14% or 59 which was a major lift from the deeply oversold condition three weeks ago, of 5.71% of only 8 out of 140 points.

As a confirmation tool, if all eight TCFs improve on a week-over-week basis, more of the 20 ETFs are improving internally on a technical basis, confirming a broader market move higher (think of an advance/decline calculation). Conversely if all eight TCFs fall on a week-over-week basis it confirms a broader market move lower. Last week six TCFs rose, one was unchanged, and one fell.

*A brief explanation of how to interpret RRG charts visit the mc’s technical indicators page at www.themarketscompass.com and select “em country etfs”. To learn more detailed interpretations, see the postscripts and links at the end of this Blog.

The chart below has three weeks, or 15 days*, of Relative data points vs. the benchmark, the EEM (the Emerging Markets ETF), at the center, deliniated by the dots or nodes. Not all 20 ETFs are plotted in this RRG Chart. I have done this for clarity purposes. Those which I believe are of higher technical interest remain.

*Because of the holiday shortened week, there are only 14 days of data points

When I published the last EM Country ETF Study on March 31st, I highlighted the iShares MSCI Turkey ETF (TUR) which had fallen sharply from the Leading Quadrant through the Weakening Quadrant and ending up in the Lagging Quadrant. Before rolling over last week the TUR rose sharply into the Improving Quadrant exhibiting Positive upside Relative Strength Momentum (note the distance between the daily nodes) as it rose into the Improving Quadrant. The iShares Indonesia ETF (EDIO) lifted up out Laging Quadrant three weeks ago into the Improving Quadrant but after marking positive Relative Strength and Momentum two weeks ago it has rolled over and has begun to track sideways although it remains in the Leading Quadrant. The standout Relative Strength performer had, over the previous two weeks been the iShares MSCI India Index Fund ETF (INDA) until it rolled over last week, losing upside Relative Strength Momentum.

When Trump dropped the “tariff bomb” on the financial markets three weeks ago the EEM printed a lower weely price low below the January 10th weekly closing low of 41.02 to close three weeks ago at 40.58 in concert with the “TER” falling to 340.05. That said the TER did not print a lower low and has since risen back to 539.5 but, it would be premature to declare that it was a non-confirmation of the price lows, but the 13-Week Exponential moving average of the “TER” is hooking higher. More on the longer-term technical condition of the EEM follows…

The Average Weekly Technical Ranking (“ATR”) is the average Technical Ranking (“TR”) of the 20 Emerging Markets Country ETFs we track weekly and is plotted in the lower panel on the Weekly Candle Chart of the EEM presented below. Like the TER, it is a confirmation/divergence or overbought/oversold indicator.

Four weeks ago, prices were teetering on support offered by the Lower Parallel (solid red line) of the longer-term Standard Pitchfork (violet P1 through P3) after being capped at price resistance at 45.50 for the second time the week before. The following week prices broke below support at the of the longer-term Pitchfork and the Cloud. Prices traded lower two weeks ago before a temporary reversal in Trump’s Tariff plans led to a sharp intra-week turnaround. I have since drawn a new Schiff Pitchfork (red P1 through P3). Prices have retaken the ground above the Median Line (red dotted line) of the shorter-term Pitchfork but have been capped at the Kijun Plot (green line) and the Cloud last week. Both MACD and the Stochastic Momentum Index rolled over through their signal lines but (thanks to the price reversal at P3) there is a hint of stabilization in the shorter-term Stochastic Momentum Index. That in itself is not enough to suggest that a sustainable low is in place.

Learn about Pitchforks and Internal Lines in the three-part Pitchfork tutorial in the Market’s Compass website, www.themarketscompass.com

More on the technical condition of the EEM in Thoughts on the Short-Term Technical Condition of the EEM but first…

*For the four-day Holiday shortened week ending April 17th. Does not include dividends if any.

Fifteen of the twenty EM Country ETFs were up on an absolute basis last week (the iShares MSCI South Korea Index Fund ETF (EWY) was flat on the week) and four traded lower. Fifteen EM ETFs outperformed the 0.41% gain in the EEM on a relative basis. The average four-day absolute gain in the EM ETFs was +2.00% adding to the previous week’s average absolute gain of +3.82% helping to reverse the -6.80% average absolute loss registered three weeks ago.

At the time of our last missive on the shorter-term technical condition of the EEM (highlighted with the yellow circle) prices continued (for weeks) to track sideways in a 3 point range. That was until the following week when prices fell sharply lower below support afforded by the Cloud and VAP support (volume at price) thanks to the “Tariff Bomb”. Two more days of extended price weakness brought about an oversold condition as witnessed by 10-Day Stochastic Momentum and more importantly, my EM Country ETD Daily Momentum / Breadth Oscillator and a sharp price reversal unfolded which led to me to draw the new Standard Pitchfork (violet P1 through P3) and a week ago last Friday, the EEM overtook the Median Line (violet dotted line) of the Pitchfork. That said, with the oversold fuel mostly spent, the rally has stalled at what was once VAP support now turned VAP resistance. It is premature to suggest the nadir was reached at P3. Only a follow through rally that overtakes VAP resistance, massive Cloud resistance and the Upper Parallel (solid violet line) of the Pitchfork would suggest that the correction has run its course. Buyers beware of another “Trump Card” (tip of the hat to Stephen Suttmeier for that one).

All the charts are courtesy of Optuma whose charting software enables anyone to visualize any data including my Objective Technical Rankings. The following links are an introduction and an in-depth tutorial on RRG Charts…

https://www.optuma.com/videos/introduction-to-rrg/

https://www.optuma.com/videos/optuma-webinar-2-rrgs/

To receive a 30-day trial of Optuma charting software go to…

www.optuma.com/TMC.

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