#Automation and employment effects

[jcmarchi]

MIT economists Daron Acemoglu and Simon Johnson share Nobel Prize in economics

New Post has been published on https://thedigitalinsider.com/mit-economists-daron-acemoglu-and-simon-johnson-share-nobel-prize-in-economics/

MIT economists Daron Acemoglu and Simon Johnson share Nobel Prize in economics

MIT economists Daron Acemoglu and Simon Johnson PhD ’89, whose work has illuminated the relationship between political systems and economic growth, have been named winners of the 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. Political scientist James Robinson, with whom they have worked closely, also shares the award.

“Societies with a poor rule of law and institutions that exploit the population do not generate growth or change for the better,” the Nobel academy stated in its citation. “The laureates’ research helps us understand why.”

“I am delighted. It is a real shock and amazing news,” Acemoglu told the committee by phone at the Nobel announcement.

His long-term research collaboration with Johnson has empirically supported the idea that government institutions that provide individual rights, especially democracies, have spurred greater economic activity over the last 500 years. In a related line of research, Acemoglu has helped build models to account for political changes in many countries.

Acemoglu is an Institute Professor at MIT. He has also made notable contributions to labor economics by examining the relationship between skills and wages, and the effects of automation on employment and growth. Additionally, he has published influential papers on the characteristics of industrial networks and their large-scale implications for economies.

A native of Turkey, Acemoglu received his BA in 1989 from the University of York, in England. He earned his master’s degree in 1990 and his PhD in 1992, both from the London School of Economics. He joined the MIT faculty in 1993 and has remained at the Institute ever since. Acemoglu has authored or co-authored over 120 peer-reviewed papers and published four books. He has also advised over 60 PhD students at MIT.

Johnson is the Ronald A. Kurtz Professor of Entrepreneurship at the MIT Sloan School of Management. He has also written extensively about a broad range of additional topics, including development issues, the finance sector and regulation, fiscal policy, and the ways technology can either enhance or restrict broad prosperity.

A native of England, Johnson received his BA in economics and politics from Oxford University, an MA in economics from the University of Manchester, and his PhD in economics from MIT.  From 2007 to 2008, Johnson was chief economist of the International Monetary Fund.

Acemoglu and Johnson are co-authors of the 2023 book “Power and Progress: Our 1,000-Year Struggle over Technology and Prosperity,” in which they examine AI in light of other historical battles for the economic benefits of technological innovation.

Acemoglu’s books include “Why Nations Fail” (2012), with political scientist and co-laureate James Robinson, which synthesized much of his research about political institutions and growth. His book “The Narrow Corridor” (2019), also with Robinson, examined the historical development of rights and liberties in nation-states.

Johnson is also co-author of “13 Bankers” (2010), with James Kwak, an examination of U.S. regulation of the finance sector, and “Jump-Starting America” (2021), co-authored with MIT economist Jonathan Gruber, a call for more investment in scientific research and innovation in the U.S.

Previously, eight people have won the award while serving on the MIT faculty: Paul Samuelson (1970), Franco Modigliani (1985), Robert Solow (1987), Peter Diamond (2010), Bengt Holmström (2016), Abhijit Banerjee and Esther Duflo (2019), and Josh Angrist (2021). Through 2022, 13 MIT alumni have won the Nobel Prize in economics; eight former faculty have also won the award.

This article will be updated later this morning.

[transgenderer]

OK so obviously the employment effects of LLM will be a very big deal but it's imo pretty silly how much people focus on them. Like the steam engine and the computer also automated a lot of jobs! This will probably automate more, different jobs. But I don't think that will really be it's "main effect". Which is not to say it's main effect will be positive! It might be really really bad for all of us. I just don't think "all jobs are automated and everyone is unemployed" will be the mechanism of that badness

[mariacallous]

In 1974, the United States Congress passed the Privacy Act in response to public concerns over the US government’s runaway efforts to harness Americans’ personal data. Now Democrats in the US Senate are calling to amend the half-century-old law, citing ongoing attempts by billionaire Elon Musk’s so-called Department of Government Efficiency (DOGE) to effectively commit the same offense—collusively collect untold quantities of personal data, drawing upon dozens if not hundreds of government systems.

On Monday, Democratic senators Ron Wyden, Ed Markey, Jeff Merkley, and Chris Van Hollen introduced the Privacy Act Modernization Act of 2025—a direct response, the lawmakers say, to the seizure by DOGE of computer systems containing vast tranches of sensitive personal information—moves that have notably coincided with the firings of hundreds of government officials charged with overseeing that data’s protection. “The seizure of millions of Americans’ sensitive information by Trump, Musk and other MAGA goons is plainly illegal,” Wyden tells WIRED, “but current remedies are too slow and need more teeth.”

The passage of the Privacy Act came in the wake of the McCarthy era—one of the darkest periods in American history, marked by unceasing ideological warfare and a government run amok, obsessed with constructing vast record systems to house files on hundreds of thousands of individuals and organizations. Secret dossiers on private citizens were the primary tool for suppressing free speech, assembly, and opinion, fueling decades’ worth of sedition prosecutions, loyalty oaths, and deportation proceedings. Countless writers, artists, teachers, and attorneys saw their livelihoods destroyed, while civil servants were routinely rounded up and purged as part of the roving inquisitions.

The first privacy law aimed at truly reining in the power of the administrative state, the Privacy Act was passed during the dawn of the microprocessor revolution, amid an emergence of high-speed telecommunications networks and “automated personal data systems.” The explosion in advancements coincided with Cassandra-like fears among ordinary Americans about a rise in unchecked government surveillance through the use of “universal identifiers.”

A wave of such controversies, including Watergate and COINTELPRO, had all but annihilated public trust in the government’s handling of personal data. “The Privacy Act was part of our country’s response to the FBI abusing its access to revealing sensitive records on the American people,” says Wyden. “Our bill defends against new threats to Americans’ privacy and the integrity of federal systems, and ensures individuals can go after the government when officials break the law, including quickly stopping their illegal actions with a court order.”

The bill, first obtained by WIRED last week, would implement several textual changes aimed at strengthening the law—redefining, for instance, common terms such as “record” and “process” to more aptly comport with their usage in the 21st century. It further takes aim at certain exemptions and provisions under the Privacy Act that have faced decades’ worth of criticism by leading privacy and civil liberties experts.

While the Privacy Act generally forbids the disclosure of Americans’ private records except to the “individual to whom the records pertain,” there are currently at least 10 exceptions that apply to this rule. Private records may be disclosed, for example, without consent in the interest of national defense, to determine an individual’s suitability for federal employment, or to “prevent, control, or reduce crime.” But one exception has remained controversial from the very start. Known as “routine use,” it enables government agencies to disclose private records so long as the reason for doing so is “compatible” with the purpose behind their collection.

The arbitrary ways in which the government applies the “routine use” exemption have been drawing criticism since at least 1977, when a blue-ribbon commission established by Congress reported that federal law enforcement agencies were creating “broad-worded routine uses,” while other agencies were engaged in “quid pro quo” arrangements—crafting their own novel “routine uses,” as long as other agencies joined in doing the same.

Nearly a decade later, Congress’ own group of assessors would find that “routine use” had become a “catch-all exemption” to the law.

In an effort to stem the overuse of this exemption, the bill introduced by the Democratic senators includes a new stipulation that, combined with enhanced minimization requirements, would require any “routine use” of private data to be both “appropriate” and “reasonably necessary,” providing a hook for potential plaintiffs in lawsuits against government offenders down the road. Meanwhile, agencies would be required to make publicly known “any purpose” for which a Privacy Act record might actually be employed.

Cody Venzke, a senior policy counsel at the American Civil Liberties Union, notes that the bill would also hand Americans the right to sue states and municipalities, while expanding the right of action to include violations that could reasonably lead to harms. “Watching the courts and how they’ve handled the whole variety of suits filed under the Privacy Act, it's been frustrating to see them not take the data harms seriously or recognize the potential eventual harms that could come to be,” he says. Another major change, he adds, is that the bill expands who's actually covered under the Privacy Act from merely citizens and legal residents to virtually anyone physically inside the United States—aligning the law more firmly with current federal statutes limiting the reach of the government's most powerful surveillance tools.

In another key provision, the bill further seeks to rein in the government’s use of so-called “computer matching,” a process whereby a person’s private records are cross-referenced across two agencies, helping the government draw new inferences it couldn’t by examining each record alone. This was a loophole that Congress previously acknowledged in 1988, the first time it amended the Privacy Act, requiring agencies to enter into written agreements before engaging in matching, and to calculate how matching might impact an individual’s rights.

The changes imposed under the Democrats’ new bill would merely extend these protections to different record systems held by a single agency. To wit, the Internal Revenue Service has one system that contains records on “erroneous tax refunds,” while another holds data on the “seizure and sale of real property.” These changes would ensure that the restrictions on matching still apply, even though both systems are controlled by the IRS. What’s more, while the restrictions on matching do not currently extend to “statistical projects,” they would under the new text, if the project’s purpose might impact the individuals’ “rights, benefits, or privileges.” Or—in the case of federal employees—result in any “financial, personnel, or disciplinary action.”

The Privacy Act currently imposes rather meager criminal fines (no more than $5,000) against government employees who knowingly disclose Americans’ private records to anyone ineligible to receive them. The Democrats’ bill introduces a fine of up to $250,000, as well as the possibility of imprisonment, for anyone who leaks records “for commercial advantage, personal gain, or malicious harm.”

The bill has been endorsed by the Electronic Privacy Information Center and Public Citizen, two civil liberties nonprofits that are both engaged in active litigation against DOGE.

“Over 50 years ago, Congress passed the Privacy Act to protect the public against the exploitation and misuse of their personal information held by the government,” Markey says in a statement. “Today, with Elon Musk and the DOGE team recklessly seeking to access Americans’ sensitive data, it’s time to bring this law into the digital age.”

[bravecrab]

I was just listening to a podcast about the Peter Thiel backed Enhanced Games, a proposed alternative Olympics in which doping would not only be allowed but be the whole point. It's not an original idea, as long as doping has been in the conversation about the Olympics, there's always been people flippantly saying that they should just do something like the Enhanced Games, see how far we can push it. What's the harm?

There are plenty harms related in using cocktails of drugs to push the human body past it's natural limits, and there are plenty people who have made these comments in regards to the Enhanced Games. However a harm that I haven't seen mentioned yet, is the normalisation of pharmaceutical drug use and associating it with "peak physical performance". The Enhanced Games would be more than just an exhibition of sport, it would be a marketing platform for the pharmaceutical industry. Each athlete would have their own team to build them into the perfect athlete, more like Formula One, although who knows if the athletes will have to wear the brand logos on all their gear, so the audience know who sells the best steroids.

Let's not beat around the bush, an event that focuses on finely tuning the human body into a "perfect" form, is eugenics. The proponents of the Enhanced Games will deny it, but they want it to be successful and influential. They want it to be more successful than the Olympics. And that will require a normalisation of Eugenics.

A philosophy of domination is behind both the Enhanced Games and the Olympics. It's always been about peak fitness, as well as geopolitical bragging rights. A mindset of domination has always been used to justify eugenics, domination theology stating that God created the Earth for human consumption, and that of all creatures, Man is closest to God. That's been weaponized as white supremacy and as patriarchy, amongst many other oppressive norms, making claims through pseudo-science, that white, cis, straight men are the pinnacle of humanity. Both events are an exhibition of dominance, and while the Enhanced Games is definitely worse, the Olympics still promotes an idea that the winners are just Great Athletes, and their winning has nothing to do with factors like national wealth and resources.

Another concern I have over an event that normalises enhancing bodies beyond human limits, is that it will attempt to normalise it in work places. Despite advances in automation, a lot of physical work is still done by humans, and will remain that way as long as it is cheaper. If one of the biggest sporting events endorses performance enhancers, it's not a stretch for them to become popularly used in physical workplaces. I've done many years of warehousing work, and guys in those jobs are very much into the idea of being the biggest and strongest. Employers will definitely be happy to exploit this.

I think an event like Enhanced Games is easy to overlook. The concept has been the curiosity of a lot of people as soon as they're aware of doping. However it's the involvement of ghouls like Peter Thiel, people with a TESCREAL philosophy (Transhumanism, Extropianism, Singularitarianism, Cosmism, Rationalism, Effect Altruism, Long-termism), who want to control the future of all humankind, that make this worrying. These are billionaires who want to sell you your greatest sci fi fantasies, while maintaining a firm grasp on the controls. A future in which Peak Human Performance requires you to buy a steady supply of performance enhancing drugs, is one in which the Pharmaceutical industry is perpetually wealthy.

I'd also like to include that there is also the potential of a backlash to an event like Enhanced Games, it which all forms of alterations and modifications to the human body are labelled as evil and impure, which will likely be used to endorse transphobia.

[educationmore]

Python for Beginners: Launch Your Tech Career with Coding Skills

Are you ready to launch your tech career but don’t know where to start? Learning Python is one of the best ways to break into the world of technology—even if you have zero coding experience.

In this guide, we’ll explore how Python for beginners can be your gateway to a rewarding career in software development, data science, automation, and more.

Why Python Is the Perfect Language for Beginners

Python has become the go-to programming language for beginners and professionals alike—and for good reason:

Simple syntax: Python reads like plain English, making it easy to learn.

High demand: Industries spanning the spectrum are actively seeking Python developers to fuel their technological advancements.

Versatile applications: Python's versatility shines as it powers everything from crafting websites to driving artificial intelligence and dissecting data.

Whether you want to become a software developer, data analyst, or AI engineer, Python lays the foundation.

What Can You Do With Python?

Python is not just a beginner language—it’s a career-building tool. Here are just a few career paths where Python is essential:

Web Development: Frameworks like Django and Flask make it easy to build powerful web applications. You can even enroll in a Python Course in Kochi to gain hands-on experience with real-world web projects.

Data Science & Analytics: For professionals tackling data analysis and visualization, the Python ecosystem, featuring powerhouses like Pandas, NumPy, and Matplotlib, sets the benchmark.

Machine Learning & AI: Spearheading advancements in artificial intelligence development, Python boasts powerful tools such as TensorFlow and scikit-learn.

Automation & Scripting: Simple yet effective Python scripts offer a pathway to amplified efficiency by automating routine workflows.

Cybersecurity & Networking: The application of Python is expanding into crucial domains such as ethical hacking, penetration testing, and the automation of network processes.

How to Get Started with Python

Starting your Python journey doesn't require a computer science degree. Success hinges on a focused commitment combined with a thoughtfully structured educational approach.

Step 1: Install Python

Download and install Python from python.org. It's free and available for all platforms.

Step 2: Choose an IDE

Use beginner-friendly tools like Thonny, PyCharm, or VS Code to write your code.

Step 3: Learn the Basics

Focus on:

Variables and data types

Conditional statements

Loops

Functions

Lists and dictionaries

If you prefer guided learning, a reputable Python Institute in Kochi can offer structured programs and mentorship to help you grasp core concepts efficiently.

Step 4: Build Projects

Learning by doing is key. Start small:

Build a calculator

Automate file organization

Create a to-do list app

As your skills grow, you can tackle more complex projects like data dashboards or web apps.

How Python Skills Can Boost Your Career

Adding Python to your resume instantly opens up new opportunities. Here's how it helps:

Higher employability: Python is one of the top 3 most in-demand programming languages.

Better salaries: Python developers earn competitive salaries across the globe.

Remote job opportunities: Many Python-related jobs are available remotely, offering flexibility.

Even if you're not aiming to be a full-time developer, Python skills can enhance careers in marketing, finance, research, and product management.

If you're serious about starting a career in tech, learning Python is the smartest first step you can take. It’s beginner-friendly, powerful, and widely used across industries.

Whether you're a student, job switcher, or just curious about programming, Python for beginners can unlock countless career opportunities. Invest time in learning today—and start building the future you want in tech.

Globally recognized as a premier educational hub, DataMites Institute delivers in-depth training programs across the pivotal fields of data science, artificial intelligence, and machine learning. They provide expert-led courses designed for both beginners and professionals aiming to boost their careers.

Python Modules Explained - Different Types and Functions - Python Tutorial

[marta-bee]

News of the Day 6/11/25: AI

Paywall free.

More seriously, from the NY Times:

"For Some Recent Graduates, the A.I. Job Apocalypse May Already Be Here" (Paywall Free)

You can see hints of this in the economic data. Unemployment for recent college graduates has jumped to an unusually high 5.8 percent in recent months, and the Federal Reserve Bank of New York recently warned that the employment situation for these workers had “deteriorated noticeably.” Oxford Economics, a research firm that studies labor markets, found that unemployment for recent graduates was heavily concentrated in technical fields like finance and computer science, where A.I. has made faster gains. [...] Using A.I. to automate white-collar jobs has been a dream among executives for years. (I heard them fantasizing about it in Davos back in 2019.) But until recently, the technology simply wasn’t good enough. You could use A.I. to automate some routine back-office tasks — and many companies did — but when it came to the more complex and technical parts of many jobs, A.I. couldn’t hold a candle to humans. That is starting to change, especially in fields, such as software engineering, where there are clear markers of success and failure. (Such as: Does the code work or not?) In these fields, A.I. systems can be trained using a trial-and-error process known as reinforcement learning to perform complex sequences of actions on their own. Eventually, they can become competent at carrying out tasks that would take human workers hours or days to complete.

I've been hearing my whole life how automation was coming for all our jobs. First it was giant robots replacing big burly men on factory assembly lines. Now it seems to be increasingly sophisticated bits of code coming after paper-movers like me. I'm not sure we're there yet, quite, but the NYT piece does make a compelling argument that we're getting close.

The real question is, why is this a bad thing? And the obvious answer is people need to support themselves, and every job cut is one less person who can do that. But what I really mean is, if we can get the outputs we need to live well with one less person having to put in a day's work to get there, what does it say about us that we haven't worked out a way to make that a good thing?

Put another way, how come we haven't worked out a better way to share resources and get everyone what they need to thrive when we honestly don't need as much labor-hours for them to "earn" it as we once did?

I don't have the solution, but if some enterprising progressive politician wants to get on that, they could do worse. I keep hearing how Democrats need bold new ideas directed to helping the working class.

More on the Coming AI-Job-Pocalypse

I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. (X)

Paul Krugman: “What Deindustrialization Can Teach Us About The Effects of AI on Workers” (X)

How AI agents are transforming work—and why human talent still matters (X)

AI agents will do programmers' grunt work (X)

At Amazon, Some Coders Say Their Jobs Have Begun to Resemble Warehouse Work (X)

Why Esther Perel is going all in on saving the American workforce in the age of AI

Junior analysts, beware: Your coveted and cushy entry-level Wall Street jobs may soon be eliminated by AI (X)

The biggest barrier to AI adoption in the business world isn’t tech – it’s user confidence  (X)

Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe. (X)

AI Will Devastate the Future of Work. But Only If We Let It (X)

AI in the workplace is nearly 3 times more likely to take a woman’s job as a man’s, UN report finds (X)

Klarna CEO predicts AI-driven job displacement will cause a recession (X)

& on AI Generally

19th-century Catholic teachings, 21st-century tech: How concerns about AI guided Pope Leo’s choice of name (X)

Will the Humanities Survive Artificial Intelligence? (X)

Two Paths for A.I. (X)

The Danger of Outsourcing Our Brains: Counting on AI to learn for us makes humans boring, awkward, and gullible. (X)

AI Is a Weapon Pointed at America. Our Best Defense Is Education. (X)

The Trump administration has asked artificial intelligence publishers to rebalance what it considers to be 'ideological bias' around actions like protecting minorities and banning hateful content. (X)

What is Google even for anymore? (X)

AI can spontaneously develop human-like communication, study finds

AI Didn’t Invent Desire, But It’s Rewiring Human Sex And Intimacy (X)

Mark Zuckerberg Wants AI to Solve America’s Loneliness Crisis. It Won’t. (X)

The growing environmental impact of AI data centers’ energy demands

Tesla Is Launching Robotaxis in Austin. Safety Advocates Are Concerned (X)

The One Big Beautiful Bill Act would ban states from regulating AI (X)

& on the Job-Pocalypse & Other Labor-Related Shenanigans Generally, Too

What Unions Face With Trump EOs (X)

AI may be exposing jobseekers to discrimination. Here’s how we could better protect them (X)

Jamie Dimon says he’s not against remote workers—but they ‘will not tell JPMorgan what to do’  (X)

Direct-selling schemes are considered fringe businesses, but their values have bled into the national economy. (X)

Are you "functionally unemployed"? Here's what the unemployment rate doesn't show. (X)

Being monitored at work? A new report calls for tougher workplace surveillance controls  (X)

Josh Hawley and the Republican Effort to Love Labor (X)

Karl Marx’s American Boom (X)

Hiring slows in U.S. amid uncertainty over Trump’s trade wars

Vanishing immigration is the ‘real story’ for the economy and a bigger supply shock than tariffs, analyst says (X)

[dayjmz19]

Blog Post #2

How can technology negatively impact as AI continues to progress? 

With artificial intelligence growing and many other similar platforms being released I think it will bring lots of uncertainty to older generations and low-income families as some are unable to keep up with the technological updates or simply can't afford advanced technology devices being released today. Especially with many jobs relying on artificial intelligence to store or collect information of others personal information. “Though these systems have the most destructive and deadly effects on low-income communities of color, they impact poor and working-class people across the color line.” (Eubanks,2018). As Eubanks pointed out many people don't become aware they are being targeted by mistakes the system made leading to many employees not listening to your concerts because they simply “ trust the system” not taking into consideration the system might have made a mistake. This can negatively impact minority communities since it could leave them without essential resources due to system errors. 

Are people supportive of cyber feminism? 

Over the years, we have collectively evolved to be more inclusive of women and minorities. Some places are more than others, of course, but there are still many people who have pushed away from cyber-feminism. But many people do not notice. Many jobs today pay women less while their male co-worker gets paid more for the same position, but they don't know since the company does not disclose the information. Many women in tech are more likely to be harassed at their male-dominated jobs and are often ignored when they seek help. Many jobs promote being inclusive to women so that they look good to the public, but they are often ignorant. This also applies to many people's beliefs, especially parents who often restrict their children from having an interest in sports, toys, and characters that are socially viewed for a particular gender.

 Do we practice cyber feminism today?

 I think we do practice cyberfeminism today since we see more employers hire women for important roles in the tech industry. Many women who work in these male dominated roles often advocate for younger girls and spread awareness of their accomplishments to motivate the youth of girls to show them that women can be incharge in the world of technology. I feel like in the past many girls were restricted from technology, especially from devices due to the stigma that it was something for boys. For example a console not being given to girls because it was seen as a male toy, I personally was affected by this constructed idea when I was younger. 

Another example would be the women in the car industry who are overseen due to the idea of women being unable to have knowledge of cars. 

Is the algorithm being used against us? 

I have always loved how accurate the algorithm has been when it comes to understanding my humor and pushing videos that I enjoy on my feed. But I had never thought about how it could be used against me or how it's been used against me in the past. This not only applies to me but also to many other people. We are being watched by companies that can see what we enjoy or what we are most likely to take in, and this could lead to an intake of misinformation. “Online community neighbor apps such as NextDoor and Ring devolve into fear-based racial profiling community mobs” (Nicole Brown,2020). As Nicole Brown explained, many people are being targeted on apps without having actual evidence just due to an assumption. Then others will believe the person posting the post created a group of misinformed people. Companies could also use the algorithm to push ads to sell us products we don't need or even push political ideas we are most likely to fall for.

  Works Cited: Brown, N. (2020). Race and technology [Video]. YouTube.

Eubanks, Virginia. 2018. Automating Inequality-Introduction.

[ecommerceknowldge]

The Power of Upskilling: Why Investing in Yourself Is the Smartest Move You’ll Ever Make

In today’s fast-paced, constantly evolving world, the only thing more expensive than investing in yourself is not doing it.

Upskilling — the process of learning new skills or enhancing existing ones — is no longer optional. It's a necessity for staying competitive in the workforce, pivoting to new career paths, and adapting to a world where change is the only constant.

Whether you're a fresh graduate, a mid-career professional, or a business leader, this post will help you understand why upskilling matters, where to start, and how to make learning a lifelong habit.

Why Upskilling Matters More Than Ever

1. Rapid Technological Advancements

Automation, AI, and digital transformation have reshaped industries. According to the World Economic Forum, 44% of workers’ core skills will change by 2027. Skills that were in high demand five years ago may now be outdated.

Jobs aren't necessarily disappearing — they’re evolving. That means individuals must continuously adapt or risk being left behind.

2. Career Growth and Mobility

Upskilling doesn’t just help you survive — it helps you thrive.

Want a promotion? Looking to switch industries? Trying to freelance or start a side hustle? Upskilling bridges the gap between where you are and where you want to be.

For example:

A marketer who learns data analytics becomes more valuable.

A teacher who gains expertise in EdTech can unlock new career opportunities.

A finance professional with coding skills can transition into fintech.

3. Increased Job Security

In uncertain economic times, employees with in-demand skills are often the last to go. Upskilling makes you indispensable. Employers view proactive learners as assets — people who are flexible, forward-thinking, and ready to take on new challenges.

4. Personal Satisfaction and Confidence

Beyond career advantages, learning something new boosts your self-esteem. Mastering a new tool or concept builds confidence and adds a sense of achievement. Lifelong learning is directly linked to better mental health, cognitive ability, and even happiness.

Identifying What to Learn

Not all skills are created equal. Here’s how to identify what you should focus on:

1. Align With Industry Trends

Start by researching current trends in your field. What tools, software, or certifications are becoming standard? Websites like LinkedIn Learning, Coursera, and even job boards can offer insight into what’s in demand.

2. Pinpoint Skill Gaps

Look at your resume, job performance, or feedback. Are there areas where you consistently feel underqualified or reliant on others? That’s your starting point.

For instance, if you’re in marketing but struggle with Excel or Google Analytics, that’s a practical gap to close.

3. Balance Hard and Soft Skills

Hard skills (e.g., coding, SEO, data visualization) are measurable and job-specific. Soft skills (e.g., communication, emotional intelligence, adaptability) are often what make or break long-term success.

According to LinkedIn’s Workplace Learning Report, soft skills like creativity, collaboration, and critical thinking are increasingly valued by employers.

How to Upskill Effectively

Upskilling doesn’t have to mean going back to college or spending thousands. With the right strategy, you can learn faster, smarter, and more sustainably.

1. Set Clear Goals

Vague intentions (“I want to get better at digital marketing”) rarely produce results. Instead, try: ✅ “I will complete a Google Ads certification within 30 days.” ✅ “I will write one blog post a week to practice content writing.”

2. Use Online Platforms

Some great learning platforms include:

Coursera – Offers university-led courses, many for free.

Udemy – Affordable, practical skill-based learning.

LinkedIn Learning – Career-focused, bite-sized lessons.

edX – Ivy-league content in flexible formats.

YouTube – A goldmine for free tutorials.

Don’t forget podcasts, newsletters, webinars, and even TikTok or Instagram accounts focused on education.

3. Apply What You Learn

Knowledge without application is wasted. If you’re learning copywriting, start a blog. If you’re learning a coding language, build a small project. Application cements learning and gives you portfolio pieces to show potential employers.

4. Join a Community

Learning with others keeps you accountable. Join Slack groups, Reddit communities, Discord servers, or local meetups. Networking with people on the same journey also opens up career opportunities.

5. Track and Reflect

Keep a simple progress log. Write down what you learned each week, what worked, and what didn’t. Reflection helps identify plateaus and gives you clarity on your next steps.

Upskilling at Work: Make It a Two-Way Street

If you’re employed, your workplace may be willing to sponsor courses or give you dedicated learning hours. Upskilling benefits your employer too — so don’t hesitate to ask.

Here’s how:

Propose a specific course or certification.

Explain how it’ll improve your job performance.

Offer to train others on what you’ve learned.

Employers appreciate initiative and are often happy to invest in employees who invest in themselves.

Final Thoughts: Build a Habit, Not Just a Skill

The most successful people don’t upskill once — they build a habit of learning.

Start with 30 minutes a day. Read a chapter. Watch a tutorial. Experiment with a new tool. Upskilling isn’t a race; it’s a lifestyle.

Remember: your career is your responsibility. In a world where industries change overnight, the most future-proof investment isn’t in stocks or crypto — it’s in you.

[wuxiaphoenix]

On Writing: A Quick Jury Introduction

Okay, thought I’d turn an exhausting day into possibly useful info for you all.... The U.S. institution of trial by jury is likely more familiar to some of us than others. If you’re a writer coming from outside the States, though, what may not immediately be apparent is that far, far more Americans interact with the legal system than ever show up for a civil suit or are charged with a crime.

All those jurors have to come from somewhere.

So. There are multiple requirements to be a legit juror, but mostly it boils down to, you’re a U.S. citizen, you’re over 18, and you have all your civil rights (i.e. you’re not a felon yourself). You also, so far as I know, have to be a resident of the county where the trial is taking place. In practical terms this means once you get any kind of state-issued ID, even a learner’s permit - if you’re over 18, you’re in the list the computer draws from for the next jury pool.

(Yes, I once had to arrange transportation to a jury summons when I still wasn’t legally allowed to drive by myself. Fun. Not.)

About two to three weeks before you’re due to show up, you get the summons in the mail. At which point a certain amount of profanity may ensue, because you have to prepare to upend all your plans for at least an entire day. You can ask for a deferral, or even to be dropped from selection, if one of several hardship conditions apply. You’re the sole person doing 24/7 medical care for someone, for example, or you’re going to be in the hospital on that date with major surgery involved. “My workplace won’t let me take that day off,” is NOT one of those conditions. Let the court know that, and they will then duke it out with your workplace. No, seriously, that is what will happen. The jury summons is a civic duty. It is, effectively, being “drafted” for that day. Constitutionally. I would not want to be the employer who has to hear from the Clerk of Courts. It would not go well.

So, you prep, you clear your schedule, there’s usually a questionnaire to fill out (either on paper or, more recently, on a county website) so they have some background to make sure you’re who they meant to call... and then you wait. In my home county, you wait until the night before you’re due to come in, and call the automated line to see if they still need a jury pool the next day. It’s possible the lawyers will hash things out and call the trial off. No trial, no jury needed.

Assuming you’re not that lucky, then it’s get up very early in the morning so you can get to the courthouse on time. They try to put courthouses near the center of the county, but some counties are very big. And you come prepared, because you’re likely to be there from 8 AM to 5 PM or later.  

My experience is that it’s very cold in courthouses. Don’t ask me why. After the first trip I started bringing multiple layers so I didn’t freeze myself into bronchitis. It... mostly works.

Summons in hand, you go in through the metal detector; anything else you bring in with you (coats, water, etc.) has to go in a tray and fit through an x-ray machine under the unblinking and likely already-tired eyes of a couple deputies. And you take a deep breath before plunging into what will be an introvert’s most horrible day, because you will be surrounded by strangers you cannot get away from.

You follow the various staff directing you to the first auditorium, where you hand in your summons, let the clerks know whether you’re employed and whether or not your employer is going to pay you for the day (often they don’t), then try to find a seat not so close to the speakers that your ears will get blasted when everyone else shows up and they show the instructional vids about voting being a civic duty, take it seriously, etc., etc.

(It is and I do, but I’ve seen the vids so many times by now....)

Aaand then you wait. And wait. Often two hours plus. While the attorneys up in the courtroom overhead are duking things out with each other, and with the judge, and reading all the questionnaires to try and figure out who they might want on their jury and what questions they want to ask.

A certain number of people may get let go at this point, depending on how many trials they’re picking for. The clerk of court quipped that they ought to consider lottery tickets....

Finally the attorneys hit the end of when the judge will allow them to keep delaying things, and all the pool gets led upstairs to the courtroom itself. Once everyone’s in, all rise for the judge, there’s another lecture on civic duty, fair and impartial, and so on.

(Everyone is already freezing, tired, and there’s no coffee. Seriously, there’s a spot for snack and drink machines when we have breaks, but not one drop of coffee. The court clerks also mourn this as an affront against humanity.)

The attorneys - prosecution and defense - get introduced, as well as the defendant. And then the questions start. One of the first being, does anyone in the pool know anyone 1) who’s going to be in court or 2) one of the other jurors? Even with random selection, it’s possible you get some people who know each other....

Other questions that may show up include but are not limited to: Can you be fair and impartial with X charges? (Given you have no idea what you’re a jury for until this point, from a traffic ticket to murder, this is important.) Do you think you can judge the credibility of a witness? Have you, a family member, or someone you know been involved with a similar crime? Do you know any of the witnesses?

Once they get past all of that and mark down a preliminary “who’s affected by what and why”, then the attorneys go back to the judge’s bench and start discussing who they’ll pick. Jurors don’t get to overhear this. If they have specific follow-up questions for a particular jury candidate, you get called up to the judge’s bench to answer them.

(My frank and honest answers seemed to unnerve both the prosecution and the defense. Heh.)

BTW, a jury may be less than the classic twelve. For many trials they just want six or seven, so they’ll pick out eight or nine (so they have a few alternates). They’re also likely to be selecting juries for several trials from the same pool. So once they make their first picks, those jurors are brought over to the jury box, sworn in, told not to talk with anyone about the case, and released until court is back in session. Everyone else has to sit and wait through the rest of the picks....

Yes, you do get a lunch break. Eventually. Depending on how far the judge thinks he can push people to get the attorneys done - that’ll vary, especially if you have older jurors or those with medical conditions who need to eat something with medicine or end up in trouble. Lunch may break for an hour, which isn’t as long as you’d think because there’s nowhere nearby to get solid food unless you hit the road. In lunch hour traffic. Fun.

(I bring lunch in a cooler. Have I mentioned I’ve done this a lot of times?)

And then it’s back to the next set of attorneys, and questions, and... it’s a long, cold, exhausting day surrounded by people. Though if you are selected, the trial is usually the next day or at most later that week, so with luck you’re only upended for a few more days.

Whether or not you get picked, you’re then out of the pool for a year. If they do call you back early, you can tell them that!

Jury duty. Necessary, somewhat interesting, very chilly. So it goes!

[sekspeakss]

How Long Will It Take to Get CCNA Certified?

Starting your career in networking often begins with one key decision — getting certified. The CCNA (Cisco Certified Network Associate) is one of the most trusted credentials in the IT industry. But before you begin preparing, you probably want to know: how long will it take to actually earn it?

The answer isn’t the same for everyone. It depends on your background, how much time you can dedicate, and the learning methods you choose. Let’s explore how you can plan for your certification in a realistic and achievable way.

Why the CCNA Still Matters in 2025

With the growing demand for cloud infrastructure, cybersecurity, and connected systems, the CCNA course continues to hold value. It’s more than just a certification — it signals to employers that you understand the basics of how networks operate and how to work with Cisco devices.

The exam covers a range of topics including routing and switching, IP connectivity, security concepts, and network automation. It's ideal for entry-level professionals, students, and career changers aiming to get into IT.

The Real Timeline: What to Expect

There’s no fixed time to complete your preparation, but here’s a general idea:

Beginners with no experience might need 5–6 months to cover all topics from scratch.

Those in IT support roles may be able to prepare in 3–4 months with steady weekly study.

Experienced tech professionals could finish in just 6–8 weeks by focusing on exam-specific topics.

Your timeline depends not just on your experience, but also how consistent you are. Even a couple of hours each day can go a long way if you follow a clear plan.

How to Structure Your CCNA Preparation

Studying for CCNA isn’t just about reading books — it's about building real skills. Here’s how to organize your study effectively:

Cover the fundamentals first: Learn the OSI model, network protocols, and addressing.

Practice subnetting regularly: It’s one of the most tested and tricky areas.

Simulate real networks: Use Cisco Packet Tracer to set up labs and practice troubleshooting.

Join discussion groups or forums: Talking through complex topics can help you learn faster.

Test yourself often: Practice exams help identify weak spots and build test-taking confidence.

Can You Realistically Pass in 3 Months?

It’s entirely possible, especially if you’re already familiar with IT or are a quick learner. You’ll need to stay focused, follow a weekly plan, and spend time with hands-on labs.

Many learners enroll in a ccna course in chennai to stay consistent and follow a proven syllabus. These courses often include practical lab access, which plays a huge role in boosting confidence for the exam.

Common Struggles During Preparation

Every candidate hits bumps along the road. Some of the challenges include:

Finding time to study while managing work or school

Understanding complex concepts like VLANs or NAT

Staying motivated after the first few weeks

The best way to manage these challenges is by setting short-term goals, using a planner, and joining a supportive learning group.

After You Earn Your CCNA

Once you pass the CCNA exam, you’ll open doors to various job roles such as junior network engineer, system support technician, or NOC technician. The certification also lays the foundation for higher-level paths like CCNP or Cisco’s security-focused certifications.

If you're looking for a long-term study environment, a reputable ccna institute in chennai can help you plan your next certification and stay up to date with Cisco technologies.

Final Thoughts

Earning a CCNA is about dedication, hands-on practice, and learning how networks truly function. Whether you’re starting from scratch or already in the IT field, you can plan to become certified within 2 to 6 months, depending on your pace.

Start with the basics, follow a schedule, and use tools that mirror real-world scenarios. The skills you gain will not only help you pass the exam but also support your growth throughout your IT career.

[jcmarchi]

OpenResearch reveals potential impacts of universal basic income

New Post has been published on https://thedigitalinsider.com/openresearch-reveals-potential-impacts-of-universal-basic-income/

OpenResearch reveals potential impacts of universal basic income

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A study conducted by OpenResearch has shed light on the transformative potential of universal basic income (UBI). The research aimed to “learn from participants’ experiences and better understand both the potential and the limitations of unconditional cash transfers.”

The study – which provided participants with an extra $1,000 per month – revealed significant impacts across various aspects of recipients’ lives, including health, spending habits, employment, personal agency, and housing mobility.

In healthcare, the analysis showed increased utilisation of medical services, particularly in dental and specialist care.

One participant noted, “I got myself braces…I feel like people underestimate the importance of having nice teeth because it affects more than just your own sense of self, it affects how people look at you.”

While no immediate measurable effects on physical health were observed, researchers suggest that increased medical care utilisation could lead to long-term health benefits.

The study also uncovered interesting spending patterns among UBI recipients.

On average, participants increased their overall monthly spending by $310, with significant allocations towards basic needs such as food, transportation, and rent. Notably, there was a 26% increase in financial support provided to others, highlighting the ripple effect of UBI on communities.

In terms of employment, the study revealed nuanced outcomes.

While there was a slight decrease in overall employment rates and work hours among recipients, the study found that UBI provided individuals with greater flexibility in making employment decisions aligned with their circumstances and goals.

One participant explained, “Because of that money and being able to build up my savings, I’m in a position for once to be picky…I don’t have to take a crappy job just because I need income right now.”

The research also uncovered significant improvements in personal agency and future planning. 

UBI recipients were 14% more likely to pursue education or job training and 5% more likely to have a budget compared to the control group. Black recipients in the third year of the program were 26% more likely to report starting or helping to start a business.

Lastly, the study’s analysis revealed increased housing mobility among UBI recipients. Participants were 11% more likely to move neighbourhoods and 23% more likely to actively search for new housing compared to the control group.

the openresearch team releases the first result from their UBI study:https://t.co/8YXBwVeQeW

great, diligent work over the past few years. proud of the team!

— Sam Altman (@sama) July 22, 2024

The study provides valuable insights into the potential impacts of UBI, offering policymakers and researchers a data-driven foundation for future decisions on social welfare programs. This major societal conversation may be necessary if worst case scenarios around AI-induced job displacement come to fruition.

(Photo by Freddie Collins on Unsplash)

See also: AI could unleash £119 billion in UK productivity

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: agi, ai, artificial intelligence, employment, ethics, government, job displacement, law, legal, openresearch, Politics, report, research, Society, study, ubi, universal basic income

[johnemerging]

Emerging Technologies

Blog Post 1

Who am I?

Hello, my name is John Perepelkin.

I am a third semester student for Information Technology Services at SAIT in Calgary. I have been enjoying the courses very much, and though it seems difficult sometimes, if I study hard I seem to do well. I have not done a lot of research into what field I want to pursue within IT, but it seems to me that I have a knack for virtualization and good skills with server management. I think though, that cypber-security is a field in extreme demand.

I am an older student, and when I was a child, computers were just becoming PC's. First one I had seen was an Apple I. Very basic. Nowadays the technology seems to almost be outpacing our ability to control it.

I have a wife and we have been married 14 years. Good timing, for this information on the blog, because we met on valentines day, and it is the 13th today. We have one 10 year old daughter, and she is kind, smart and has recently gotten her first degree black belt in tae-qwon-do.

We enjoy the outdoors and in the summer we go camping whenever possible and sometimes we travel to the U.S. or to other parts of Canada. I enjoy fishing, and just being in the great outdoors when we go out.

fin. of MY BLOG Part 1.

Blog Post 2

johnemerging

Feb 27

WHY EMERGING TECHNOLOGY IS RELEVANT

I think emerging technology is important for me, especially as I am in the IT field, and everything I work with involves technology, if the technology is new and improved from an old technology that's great. If it is a completely new technology it is important for me to understand it and how I can affect my chosen field of work.

A new technology can open up new industries, and new fields of employment. Twenty years ago, the internet and networking was taking off at an exponential rate while ten years before that, networking existed only at a rudimentary level. The new technology that had emerged that made our current social network and technological network possible was video cards. The video card enabled a computers memory and cpu capacity to be used for raw data, and the data used to create and transmit video was transferred to the new video cards. That is an example of how emerging technology has effected everyone from then, until now.

Today, the newest technology that everyone is excited, or worried about depending on your viewpoint. This of course is machine learning, or AI(artificial intelligence). From what I have seen this newest technology is in it's infancy. We have learning models that can help us in our everyday work, but these models cannot actually do anything on their own. However the applications for industries and automation seem to be very interesting, it is possible that in the future our manufacturing plants will only need an AI to run it with robots doing the 'hands-on' work. This will be possible revolution for human society, as we will a)have no jobs besides maintaining the AI and the machines, and lots of the work we do will instead be done by machines. Automation to the most extreme point possible.

These are just a few examples of how emerging technology is relevant, in fact it is extremely relevant.

johnemerging

BLOG POST 3

The New Wave of Emerging Technology

A new wave of emerging technologies is reshaping industries, communication, and everyday life. Artificial intelligence (AI) and machine learning continues to power everything from personalized solutions and autonomous systems. Quantum computing is revolutionizing data processing, and blockchain technology is expanding cryptocurrencies, and producing secure applications for finance and supply chains.

The rapid development of extended reality, includes virtual reality , augmented reality, and mixed reality. These technologies are transforming gaming, education, and even remote work, imagine the possibilities extended reality can produce for our military, industry, and advanced educational by creating more interactive experiences. Breakthroughs in biotechnology, such as gene editing and AI-driven drug discovery, are pushing the boundaries of healthcare. As these technologies evolve, businesses and individuals should and must, adapt to the changes that will define the future our world and humankind.

Close notes

031

[gippity]

Your Data on the Line: How Trump and Palantir Are Watching Every American

In recent weeks, a growing network of data‐sharing initiatives has quietly knit together disparate government systems into what increasingly looks like a unified surveillance apparatus.

At the center of this push is Palantir Technologies—Peter Thiel’s data‐analysis firm—which has racked up more than $113 million in federal spending since 2017 and just won a new $795 million Department of Defense contract to expand its “Foundry” platform across the U.S. government.

From Executive Order to “Master Database”

In March, President Trump signed an executive order directing all federal agencies to break down data silos and share information freely. According to The New York Times, the administration has tapped Palantir’s Foundry to stitch together records from the Department of Homeland Security, Health and Human Services, the IRS, Social Security Administration, Medicare and more—raising fears that these once‐separate systems will coalesce into a “master database” of every American’s movements, finances, benefits status, health data, and beyond.

Palantir’s pitch is efficiency: better fraud detection, faster emergency response, and “data-driven governance.” But when “efficiency” means having wall-to-wall access to Americans’ most intimate information, the line between public service and state surveillance blurs—and nobody in the administration has publicly outlined guardrails on who can see or act on this mash-up of personal data.

Real-World Examples: How Camera Feeds Fuel New Abuses

1. Abortion Surveillance via ALPR Cameras

Just last week, reporting by 404 Media revealed that a Texas sheriff’s office ran a nationwide lookup of more than 83,000 automatic license-plate reader (ALPR) cameras to track down a woman who had self-administered an abortion—even searching cameras in states like Washington and Illinois where abortion remains legal 404 Media. Marketed as a tool to stop carjackings or find missing persons, Flock’s ALPR network has been repurposed to enforce contested reproductive-rights laws, granting one state’s law enforcement extraterritorial reach into another’s protected domains.

2. ICE’s Side-Door into Local Camera Systems

Simultaneously, immigration authorities have been piggy-backing on the same Flock network. Internal logs show local police around the country performing thousands of ALPR searches for “ICE,” “immigration,” and “deportation” reasons—even though U.S. Immigration and Customs Enforcement has no formal contract with Flock 404 Media. This “informal” access effectively turns small-town camera grids into a nationwide dragnet, enabling federal agents to track immigrant communities without oversight or transparency.

What Else Could This Database Be Used For?

Once data from tax returns, benefit records, license plates, and even social-media accounts are fused into a single pool, the possibilities for invasive—and often illegal—applications multiply:

Political Surveillance & Protest Policing Merge DMV photos with protest footage to identify marchers, then deploy audits or criminal charges to chill dissent.

Predictive Policing & Risk Profiling Feed individuals’ location, purchase, and communications histories into AI models that rank “public-safety risk,” justifying preemptive stops or heavier patrols in certain neighborhoods.

Voting Suppression Cross-reference voter rolls with benefit-recipient lists or travel patterns to flag “suspicious” ballots or intimidate targeted demographics with misleading outreach.

Insurance & Employment Discrimination Insurers and employers could buy or co-opt government data to deny coverage or jobs based on health history (e.g., clinic visits), credit records, or even past travel.

Family Separation & Child Protective Actions Social-services and education records fused with location data could trigger automated CPS investigations—potentially resulting in unwarranted removals of children from their homes.

Commercial Exploitation & Data Brokerage Once assembled, this all-in-one dataset would be a gold mine for marketing firms—enabling ultra-targeted ads and price discrimination down to the individual.

Each of these scenarios leverages the same dynamics: previously siloed data—whether from the IRS, SSA, camera networks, or cell-tower logs—becomes instantly searchable and actionable under Palantir’s dashboard. As more agencies sign on, opt-out becomes nearly impossible without losing access to essential services.

Can We Stop It?

Legal challenges by privacy advocates, labor unions, and student groups are now underway, arguing that this mass data-sharing violates constitutional protections against unreasonable searches and pinpoints marginalized communities for surveillance. Yet until courts impose clear limits or Congress enacts robust privacy legislation, the federal government—and its tech contractors—will continue to expand this unprecedented data empire.

[mariacallous]

On a 5K screen in Kirkland, Washington, four terminals blur with activity as artificial intelligence generates thousands of lines of code. Steve Yegge, a veteran software engineer who previously worked at Google and AWS, sits back to watch.

“This one is running some tests, that one is coming up with a plan. I am now coding on four different projects at once, although really I’m just burning tokens,” Yegge says, referring to the cost of generating chunks of text with a large language model (LLM).

Learning to code has long been seen as the ticket to a lucrative, secure career in tech. Now, the release of advanced coding models from firms like OpenAI, Anthropic, and Google threatens to upend that notion entirely. X and Bluesky are brimming with talk of companies downsizing their developer teams—or even eliminating them altogether.

When ChatGPT debuted in late 2022, AI models were capable of autocompleting small portions of code—a helpful, if modest step forward that served to speed up software development. As models advanced and gained “agentic” skills that allow them to use software programs, manipulate files, and access online services, engineers and non-engineers alike started using the tools to build entire apps and websites. Andrej Karpathy, a prominent AI researcher, coined the term “vibe coding” in February, to describe the process of developing software by prompting an AI model with text.

The rapid progress has led to speculation—and even panic—among developers, who fear that most development work could soon be automated away, in what would amount to a job apocalypse for engineers.

“We are not far from a world—I think we’ll be there in three to six months—where AI is writing 90 percent of the code,” Dario Amodei, CEO of Anthropic, said at a Council on Foreign Relations event in March. “And then in 12 months, we may be in a world where AI is writing essentially all of the code,” he added.

But many experts warn that even the best models have a way to go before they can reliably automate a lot of coding work. While future advancements might unleash AI that can code just as well as a human, until then relying too much on AI could result in a glut of buggy and hackable code, as well as a shortage of developers with the knowledge and skills needed to write good software.

David Autor, an economist at MIT who studies how AI affects employment, says it’s possible that software development work will be automated—similar to how transcription and translation jobs are quickly being replaced by AI. He notes, however, that advanced software engineering is much more complex and will be harder to automate than routine coding.

Autor adds that the picture may be complicated by the “elasticity” of demand for software engineering—the extent to which the market might accommodate additional engineering jobs.

“If demand for software were like demand for colonoscopies, no improvement in speed or reduction in costs would create a mad rush for the proctologist's office,” Autor says. “But if demand for software is like demand for taxi services, then we may see an Uber effect on coding: more people writing more code at lower prices, and lower wages.”

Yegge’s experience shows that perspectives are evolving. A prolific blogger as well as coder, Yegge was previously doubtful that AI would help produce much code. Today, he has been vibe-pilled, writing a book called Vibe Coding with another experienced developer, Gene Kim, that lays out the potential and the pitfalls of the approach. Yegge became convinced that AI would revolutionize software development last December, and he has led a push to develop AI coding tools at his company, Sourcegraph.

“This is how all programming will be conducted by the end of this year,” Yegge predicts. “And if you're not doing it, you're just walking in a race.”

The Vibe-Coding Divide

Today, coding message boards are full of examples of mobile apps, commercial websites, and even multiplayer games all apparently vibe-coded into being. Experienced coders, like Yegge, can give AI tools instructions and then watch AI bring complex ideas to life.

Several AI-coding startups, including Cursor and Windsurf have ridden a wave of interest in the approach. (OpenAI is widely rumored to be in talks to acquire Windsurf).

At the same time, the obvious limitations of generative AI, including the way models confabulate and become confused, has led many seasoned programmers to see AI-assisted coding—and especially gung-ho, no-hands vibe coding—as a potentially dangerous new fad.

Martin Casado, a computer scientist and general partner at Andreessen Horowitz who sits on the board of Cursor, says the idea that AI will replace human coders is overstated. “AI is great at doing dazzling things, but not good at doing specific things,” he said.

Still, Casado has been stunned by the pace of recent progress. “I had no idea it would get this good this quick,” he says. “This is the most dramatic shift in the art of computer science since assembly was supplanted by higher-level languages.”

Ken Thompson, vice president of engineering at Anaconda, a company that provides open source code for software development, says AI adoption tends to follow a generational divide, with younger developers diving in and older ones showing more caution. For all the hype, he says many developers still do not trust AI tools because their output is unpredictable, and will vary from one day to the next, even when given the same prompt. “The nondeterministic nature of AI is too risky, too dangerous,” he explains.

Both Casado and Thompson see the vibe-coding shift as less about replacement than abstraction, mimicking the way that new languages like Python build on top of lower-level languages like C, making it easier and faster to write code. New languages have typically broadened the appeal of programming and increased the number of practitioners. AI could similarly increase the number of people capable of producing working code.

Bad Vibes

Paradoxically, the vibe-coding boom suggests that a solid grasp of coding remains as important as ever. Those dabbling in the field often report running into problems, including introducing unforeseen security issues, creating features that only simulate real functionality, accidentally running up high bills using AI tools, and ending up with broken code and no idea how to fix it.

“AI [tools] will do everything for you—including fuck up,” Yegge says. “You need to watch them carefully, like toddlers.”

The fact that AI can produce results that range from remarkably impressive to shockingly problematic may explain why developers seem so divided about the technology. WIRED surveyed programmers in March to ask how they felt about AI coding, and found that the proportion who were enthusiastic about AI tools (36 percent) was mirrored by the portion who felt skeptical (38 percent).

“Undoubtedly AI will change the way code is produced,” says Daniel Jackson, a computer scientist at MIT who is currently exploring how to integrate AI into large-scale software development. “But it wouldn't surprise me if we were in for disappointment—that the hype will pass.”

Jackson cautions that AI models are fundamentally different from the compilers that turn code written in a high-level language into a lower-level language that is more efficient for machines to use, because they don’t always follow instructions. Sometimes an AI model may take an instruction and execute better than the developer—other times it might do the task much worse.

Jackson adds that vibe coding falls down when anyone is building serious software. “There are almost no applications in which ‘mostly works’ is good enough,” he says. “As soon as you care about a piece of software, you care that it works right.”

Many software projects are complex, and changes to one section of code can cause problems elsewhere in the system. Experienced programmers are good at understanding the bigger picture, Jackson says, but “large language models can't reason their way around those kinds of dependencies.”

Jackson believes that software development might evolve with more modular codebases and fewer dependencies to accommodate AI blind spots. He expects that AI may replace some developers but will also force many more to rethink their approach and focus more on project design.

Too much reliance on AI may be “a bit of an impending disaster,” Jackson adds, because “not only will we have masses of broken code, full of security vulnerabilities, but we'll have a new generation of programmers incapable of dealing with those vulnerabilities.”

Learn to Code

Even firms that have already integrated coding tools into their software development process say the technology remains far too unreliable for wider use.

Christine Yen, CEO at Honeycomb, a company that provides technology for monitoring the performance of large software systems, says that projects that are simple or formulaic, like building component libraries, are more amenable to using AI. Even so, she says the developers at her company who use AI in their work have only increased their productivity by about 50 percent.

Yen adds that for anything requiring good judgement, where performance is important, or where the resulting code touches sensitive systems or data, “AI just frankly isn't good enough yet to be additive.”

“The hard part about building software systems isn't just writing a lot of code,” she says. “Engineers are still going to be necessary, at least today, for owning that curation, judgment, guidance and direction.”

Others suggest that a shift in the workforce is coming. “We are not seeing less demand for developers,” says Liad Elidan, CEO of Milestone, a company that helps firms measure the impact of generative AI projects. “We are seeing less demand for average or low-performing developers.”

“If I'm building a product, I could have needed 50 engineers and now maybe I only need 20 or 30,” says Naveen Rao, VP of AI at Databricks, a company that helps large businesses build their own AI systems. “That is absolutely real.”

Rao says, however, that learning to code should remain a valuable skill for some time. “It’s like saying ‘Don't teach your kid to learn math,’” he says. Understanding how to get the most out of computers is likely to remain extremely valuable, he adds.

Yegge and Kim, the veteran coders, believe that most developers can adapt to the coming wave. In their book on vibe coding, the pair recommend new strategies for software development including modular code bases, constant testing, and plenty of experimentation. Yegge says that using AI to write software is evolving into its own—slightly risky—art form. “It’s about how to do this without destroying your hard disk and draining your bank account,” he says.

[manekapiyumawali]

Why Sabaragamuwa University is a Great Choice.

Sabaragamuwa University of Sri Lanka (SUSL) is increasingly recognized for its technological advancement and innovation-driven environment, making it one of the leading universities in Sri Lanka in terms of technology. Here are the key reasons why SUSL stands out technologically.

Here’s why SUSL stands out as a technological powerhouse among Sri Lankan universities:

🔧1. Faculty of Technology

SUSL established a dedicated Faculty of Technology to meet the demand for tech-skilled graduates. It offers degree programs such as:

BTech in Information and Communication Technology

BTech in Engineering Technology

These programs combine practical experience in labs, workshops and real-world projects with a strong theoretical foundation.

🖥️2. Advanced IT Infrastructure

SUSL has modern computer labs, smart classrooms, and high-speed internet access across campus.

A robust Learning Management System (LMS) supports online learning and hybrid education models.

Students and lecturers use tools like Moodle, Zoom, and Google Classroom effectively.

🤖 3. Innovation & AI Research Support

SUSL promotes AI, Machine Learning, IoT, and Data Science in student research and final-year projects.

Competitions like Hackathons and Innovative Research Symposia encourage tech-driven solutions.

Students develop apps, smart systems, and automation tools (e.g., Ceylon Power Tracker project).

🌐 4. Industry Collaboration and Internships

SUSL connects students with the tech industry through:

Internships at leading tech firms

Workshops led by industry experts

Collaborative R&D projects with government and private sector entities

These connections help students gain hands-on experience in areas such as software engineering, networking, and data analytics that make them highly employable after graduation.

💡 5. Smart Campus Initiatives

SUSL is evolving into a Smart University, introducing systems that streamline academic life:

Digital student portals

Online registration and results systems

E-library and remote resource access

Campus Wi-Fi for academic use

These initiatives improve the student experience and create an efficient, technology-enabled environment.

🎓 6. Research in Emerging Technologies

The university is involved in pioneering research across emerging technological fields, including:

Agricultural tech (AgriTech)

Environmental monitoring using sensors

Renewable energy systems

Students and faculty publish research in international journals and participate in global tech events.

🏆 7. Recognition in National Competitions

SUSL students often reach fina rounds or win national competitions in coding, robotics, AI, and IoT innovation.

Faculty members are invited as tech advisors and conference speakers, reinforcing the university's expertise.

Sabaragamuwa University is actively shaping the future not only with technology, but by integrating technology into education, research and operations. This makes it a technological leader among Sri Lankan Universities. Visit the official university site here: Home | SUSL

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Top PEO Service Providers in India: Why Brookspayroll Leads the Way

As businesses around the world expand into India, the demand for Professional Employer Organization (PEO) services is at an all-time high. PEOs simplify workforce management by handling payroll, HR, benefits, and compliance — all under one roof. For global companies and startups alike, choosing the right PEO service provider in India can be the key to smooth expansion and long-term success.

Among the many PEO service providers in India, Brookspayroll stands out as a trusted partner that delivers efficiency, compliance, and cost-effective HR solutions.

What is a PEO and Why Do Businesses Need One?

A Professional Employer Organization (PEO) is a third-party service that manages critical HR functions, allowing companies to focus on their core business operations. PEOs provide:

Employee onboarding and offboarding

Payroll processing and tax filing

Statutory compliance with Indian labor laws

Employee benefits administration

Risk management and HR consulting

For international businesses entering the Indian market, working with a reliable PEO provider in India like Brookspayroll ensures that you stay compliant and competitive — without the hassle of setting up a local entity.

Brookspayroll: Leading PEO Service Provider in India

Brookspayroll has earned a solid reputation as one of the best PEO service providers in India, offering tailored solutions for companies of all sizes. Here's why businesses choose Brookspayroll:

1. End-to-End HR Management

From recruitment and onboarding to payroll and benefits, Brookspayroll handles it all. Their services are designed to support your workforce seamlessly and efficiently.

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India’s labor and tax laws can be complex and ever-changing. Brookspayroll ensures your business complies with all statutory regulations, including PF, ESI, gratuity, and labor laws.

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No need to establish a legal entity in India. With Brookspayroll's PEO services, businesses can hire employees quickly and legally — accelerating market entry.

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Whether you're hiring one employee or hundreds, Brookspayroll scales its services based on your business needs. Ideal for startups, SMEs, and global enterprises alike.

5. Technology-Driven Services

With intuitive dashboards, automated payroll systems, and employee self-service portals, Brookspayroll combines human expertise with cutting-edge technology.

Benefits of Partnering with a PEO Service Provider in India

Choosing a reliable PEO partner in India offers numerous advantages:

Reduced operational costs

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Local market insights

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Brookspayroll not only provides all of these benefits but also goes a step further with personalized support and proactive HR advisory services.

Industries Served by Brookspayroll

Brookspayroll caters to a wide range of industries including:

Information Technology (IT)

E-commerce and Retail

Healthcare

Manufacturing

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No matter the sector, Brookspayroll’s PEO solutions are customized to suit the unique needs of your workforce and business model.

Ready to Expand in India? Partner with Brookspayroll Today

When it comes to PEO service providers in India, Brookspayroll is your trusted partner for hassle-free business expansion. With a proven track record, industry-leading expertise, and customer-centric approach, Brookspayroll helps businesses grow confidently in the Indian market.

Contact Brookspayroll today to learn how our PEO solutions can simplify your HR operations and support your global expansion goals.