Navigating the Top Challenges in AI Safety and How to Address Them

Navigating the Top Challenges in AI Safety and How to Address Them

Artificial intelligence (AI) is reshaping industries, enabling unprecedented innovations, and influencing nearly every aspect of our lives. However, as we embrace its transformative potential, ensuring AI operates safely and ethically is paramount. Here, we delve into the top challenges in AI safety and explore strategies to mitigate them.

1. Bias and Fairness

The Challenge:

AI systems learn from data, and data often reflects societal biases. If unchecked, these biases can lead to unfair or discriminatory outcomes in hiring, lending, law enforcement, and more.

Coping Strategies:

• Diverse Data Sets: Ensure training data is representative and inclusive.
• Bias Audits: Regularly audit algorithms for bias during and after development.
• Explainability: Develop AI models that are interpretable, allowing stakeholders to identify and correct biased decisions.
• Regulation and Standards: Adopt and adhere to ethical guidelines like the EU’s AI Act.

2. Transparency and Explainability

The Challenge:

Many AI models, particularly deep learning systems, function as "black boxes," making it difficult to understand how decisions are made.

Coping Strategies:

• XAI (Explainable AI): Invest in methodologies that enhance AI transparency.
• Model Simplification: Opt for simpler models where possible without compromising performance.
• Stakeholder Communication: Provide clear documentation and visual tools to explain AI outputs to non-technical stakeholders.

3. Safety in Autonomous Systems

The Challenge:

AI-powered autonomous systems like self-driving cars, drones, and robots must operate safely in unpredictable environments. Failures could lead to accidents or fatalities.

Coping Strategies:

• Rigorous Testing: Simulate edge cases extensively before deployment.
• Redundancy: Incorporate fail-safe mechanisms to handle unexpected scenarios.
• Real-time Monitoring: Implement continuous monitoring and adaptation capabilities.
• Collaboration: Work with regulators to establish safety standards.

4. Adversarial Attacks

The Challenge:

Adversarial attacks involve manipulating AI inputs to deceive the system, potentially causing severe consequences in domains like cybersecurity, healthcare, and finance.

Coping Strategies:

• Robust Design: Develop AI systems resistant to adversarial inputs.
• Continuous Updates: Regularly patch vulnerabilities.
• Security Testing: Conduct penetration testing specific to AI systems.
• Collaboration: Share threat intelligence across the AI community.

5. Ethical Decision-Making

The Challenge:

AI systems often face ethical dilemmas, especially in applications like autonomous weapons or medical decision-making. Programming moral principles into AI remains a complex task.

Coping Strategies:

• Multidisciplinary Teams: Involve ethicists, sociologists, and domain experts in AI design.
• Value Alignment: Use techniques like inverse reinforcement learning to align AI behavior with human values.
• Policy Frameworks: Establish clear guidelines for ethical AI deployment.

6. Unintended Consequences

The Challenge:

AI systems can exhibit unforeseen behaviors, especially when optimizing for poorly defined objectives. For instance, an AI maximizing clicks might promote harmful content.

Coping Strategies:

• Robust Objective Design: Clearly define and regularly refine AI objectives.
• Monitoring and Feedback: Continuously monitor outcomes and adapt the system based on real-world feedback.
• Human Oversight: Maintain a human-in-the-loop for critical decision-making processes.

7. Misuse of AI

The Challenge:

Bad actors can exploit AI for harmful purposes, such as deepfakes, surveillance, and automated cyberattacks.

Coping Strategies:

• Regulation: Advocate for laws that prevent malicious AI use.
• Detection Tools: Develop and deploy AI systems to identify and counter malicious applications.
• Public Awareness: Educate the public about potential risks and how to identify malicious AI products.

8. Alignment with Long-term Human Goals

The Challenge:

Advanced AI systems could develop goals misaligned with humanity’s long-term welfare, posing existential risks.

Coping Strategies:

• Research Investments: Support AI alignment research.
• International Collaboration: Promote global cooperation to align AI with shared human values.
• Gradual Deployment: Introduce AI systems incrementally to ensure alignment at every stage.

Final Thoughts

Ensuring AI safety is not just a technical challenge but also a societal one. It requires collaboration among technologists, policymakers, businesses, and the public. By proactively addressing these challenges, we can harness AI’s immense potential while safeguarding against risks, ensuring a future where AI serves humanity responsibly and ethically.

7: AI Agents

5: Sam Altman

2025 gonna be wild

— anushk (@anushkmittal) January 2, 2025

Grok is a Goldmine

But it's only powerful if you use it for the right things.

11 ways to use Grok and save you hours of time: (🔖Bookmark for later) pic.twitter.com/akGXXmUCvS

— Poonam Soni (@CodeByPoonam) January 3, 2025

Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications. Sparks are flying in our field, and 2025 will be a great year for building!

One aspect of AI that I’m particularly excited…

— Andrew Ng (@AndrewYNg) January 2, 2025

reflections: https://t.co/rHdE40AuOG

— Sam Altman (@sama) January 6, 2025

Is this the first time you’ve said this? I feel like this is the first definitive time pic.twitter.com/FGcPnvea4v

— Aaron Bailey (@aaroncbailey) January 6, 2025

We started OpenAI almost nine years ago because we believed that AGI was possible, and that it could be the most impactful technology in human history. ......... These years have been the most rewarding, fun, best, interesting, exhausting, stressful, and—particularly for the last two—unpleasant years of my life so far. ......... Getting fired in public with no warning kicked off a really crazy few hours, and a pretty crazy few days. The “fog of war” was the strangest part. None of us were able to get satisfactory answers about what had happened, or why. ........ I appreciate the way so many people worked together to build a stronger system of governance for OpenAI that enables us to pursue our mission of ensuring that AGI benefits all of humanity. ............ The last two years have been like a decade at a normal company. When any company grows and evolves so fast, interests naturally diverge. And when any company in an important industry is in the lead, lots of people attack it for all sorts of reasons, especially when they are trying to compete with it. .......... when we started we had no idea we would have to build a product company; we thought we were just going to do great research. ......... We also had no idea we would need such a crazy amount of capital. There are new things we have to go build now that we didn’t understand a few years ago, and there will be new things in the future we can barely imagine now. ............ We believe in the importance of being world leaders on safety and alignment research, and in guiding that research with feedback from real world applications. ........... We are now confident we know how to build AGI as we have traditionally understood it. We believe that, in 2025, we may see the first AI agents “join the workforce” and materially change the output of companies. We continue to believe that iteratively putting great tools in the hands of people leads to great, broadly-distributed outcomes. ............. We are beginning to turn our aim beyond that, to superintelligence in the true sense of the word. We love our current products, but we are here for the glorious future. With superintelligence, we can do anything else.

Superintelligent tools could massively accelerate scientific discovery and innovation well beyond what we are capable of doing on our own, and in turn massively increase abundance and prosperity.

....... Ron Conway and Brian Chesky went so far above and beyond the call of duty that I’m not even sure how to describe it. I’ve of course heard stories about Ron’s ability and tenaciousness for years and I’ve spent a lot of time with Brian over the past couple of years getting a huge amount of help and advice. .......... They used their vast networks for everything needed and were able to navigate many complex situations. .......... I thought I knew what it looked like to support a founder and a company, and in some small sense I did. But I have never before seen, or even heard of, anything like what these guys did, and now I get more fully why they have the legendary status they do. They are different and both fully deserve their genuinely unique reputations, but they are similar in their remarkable ability to move mountains and help, and in their unwavering commitment in times of need. ............ I look forward to paying it forward.

Sam Altman Interview On Nov. 30, 2022, traffic to OpenAI’s website peaked at a number a little north of zero. It was a startup so small and sleepy that the owners didn’t bother tracking their web traffic. It was a quiet day, the last the company would ever know. Within two months, OpenAI was being pounded by more than 100 million visitors trying, and freaking out about, ChatGPT. .......... his relentless pursuit of artificial general intelligence—the still-theoretical next phase of AI, in which machines will be capable of performing any intellectual task a human can do. ........... Conservatively, I would say there were 20 founding dinners that year [2015], and then one ends up being entered into the canon, and everyone talks about that. The most important one to me personally was Ilya 1 and I at the Counter in Mountain View [California]. Just the two of us. ........... 2012 comes along. Ilya and others do AlexNet. 2 I keep watching the progress, and I’m like, “Man, deep learning seems real. Also, it seems like it scales. That’s a big, big deal. Someone should do something.” ............. It’s impossible to overstate how nonmainstream AGI was in 2014. People were afraid to talk to me, because I was saying I wanted to start an AGI effort. It was, like, cancelable. It could ruin your career. But a lot of people said there’s one person you really gotta talk to, and that was Ilya. So I stalked Ilya at a conference, got him in the hallway, and we talked. .............. The pitch was just come build AGI. ........ I cannot overstate how heretical it was at the time to say we’re gonna build AGI. So you filter out 99% of the world, and you only get the really talented, original thinkers. .......... if you’re building, like, the 10,000th photo-sharing app? Really hard to recruit talent. ........... Convince me no one else is doing it, and appeal to a small, really talented set? You can get them all. And they all wanna work together. So we had what at the time sounded like an audacious or maybe outlandish pitch, and it pushed away all of the senior experts in the field, and we got the ragtag, young, talented people who are good to start with. .............. People used to joke in those days that the only thing I would do was walk into a meeting and say, “Scale it up!” Which is not true, but that was kind of the thrust of that time period. ........... The rest of the company was like, “Why are you making us launch this? It’s a bad decision. It’s not ready.” I don't make a lot of “we’re gonna do this thing” decisions, but this was one of them. ............... And that started off a mad scramble to get a lot of compute 7—which we did not have at the time—because we had launched this with no business model or thoughts for a business model. I remember a meeting that December where I sort of said, “I’ll consider any idea for how we’re going to pay for this, but we can’t go on.” And there were some truly horrible ideas—and no good ones. So we just said, “Fine, we’re just gonna try a subscription, and we’ll figure it out later.” That just stuck. We launched with GPT-3.5, and we knew we had GPT-4 [coming] ............... It’s very unusual to have been a VC first and have had a pretty long VC career and then run a company. .............. And I knew I was both overwhelmed with gratitude and, like, “F---, I’m gonna get strapped to a rocket ship, and my life is gonna be totally different and not that fun.” I had a lot of gallows humor about it. My husband 8 tells funny stories from that period of how I would come home, and he’d be like, “This is so great!” And I was like, “This is just really bad. It’s bad for you, too. You just don’t realize it yet, but it’s really bad.” ................. It complicated my ability to live my life. But in the company, you can be a well-known CEO or not, people are just like, “Where’s my f---ing GPUs?” .............. come with me to the research meeting right after this, and you will see nothing but disrespect. Which is great. .............. that year was such an insane blur, from November of 2022 to November of 2023, I barely remember it. It literally felt like we built out an entire company from almost scratch in 12 months, and we did it in crazy public. One of my learnings, looking back, is everybody says they’re not going to screw up the relative ranking of important versus urgent, 9 and everybody gets tricked by urgent. So I would say the first moment when I was coldly staring at reality in the face—that this was not going to work—was about 12:05 p.m. on whatever that Friday afternoon was. ................ so they fired me at noon on a Friday. A bunch of other people quit Friday night. By late Friday night I was like, “We’re just going to go start a new AGI effort.” Later Friday night, some of the executive team was like, “Um, we think we might get this undone. Chill out, just wait.” .................. Saturday morning, two of the board members called and wanted to talk about me coming back. I was initially just supermad and said no. And then I was like, “OK, fine.” I really care about [OpenAI]. But I was like, “Only if the whole board quits.” I wish I had taken a different tack than that, but at the time it felt like a just thing to ask for. ............. There was this whole thing of, like, “Sam didn’t even tell the board that he was gonna launch ChatGPT.” ......... But what is true is I definitely was not like, “We’re gonna launch this thing that is gonna be a huge deal.” ............. It’s a crazy year, right? It’s a company that’s moving a million miles an hour in a lot of different ways. ............ But then very quickly it was over, and I had a complete mess on my hands. And it got worse every day. It was like another government investigation, another old board member leaking fake news to the press. And all those people that I feel like really f---ed me and f---ed the company were gone, and now I had to clean up their mess. .............. Once everything was cleared up, it was all fine, but in the first few days no one knew anything. And so I’d be walking down the hall, and [people] would avert their eyes. It was like I had a terminal cancer diagnosis. There was sympathy, empathy, but [no one] was sure what to say. ................ we do a three-hour executive team meeting on Mondays ............. yesterday and today, six one-on-ones with engineers. I’m going to the research meeting right after this. Tomorrow is a day where there’s a couple of big partnership meetings and a lot of compute meetings. .............. There’s five meetings on building up compute. I have three product brainstorm meetings tomorrow, and I’ve got a big dinner with a major hardware partner after. .......... A few things that are weekly rhythms, and then it’s mostly whatever comes up. ............ I’m not a big inspirational email writer, but lots of one-on-one, small-group meetings and then a lot of stuff over Slack. .............. I’m a big Slack user. You can get a lot of data in the muck. I mean, there’s nothing that’s as good as being in a meeting with a small research team for depth. But for breadth, man, you can get a lot that way. ............ You’ve put research in a different building from the rest of the company, a couple of miles away. .............. Research will still have its own area. Protecting the core of research is really critical to what we do. .............. Usually you get a very good product company and a very bad research lab. We’re very fortunate that the little product company we bolted on is the fastest-growing tech company maybe ever—certainly in a long time. But that could easily subsume the magic of research, and I do not intend to let that happen. .........................

when an AI system can do what very skilled humans in important jobs can do—I’d call that AGI.

.......... Can it start as a computer program and decide it wants to become a doctor? Can it do what the best people in the field can do or the 98th percentile? How autonomous is it? I don’t have deep, precise answers there yet, but if you could hire an AI as a remote employee to be a great software engineer, I think a lot of people would say, “OK, that’s AGI-ish.” .................... when I think about superintelligence, the key thing to me is, can this system rapidly increase the rate of scientific discovery that happens on planet Earth? ................. it was clear people were trying to use ChatGPT for search a lot, and that actually wasn’t something that we had in mind when we first launched it. ....................... since we’ve launched search in ChatGPT, I almost don’t use Google anymore. ........ Many people who work at OpenAI get really heartwarming emails when people are like, “I was sick for years, no doctor told me what I had. I finally put all my symptoms and test results into ChatGPT—it said I had this rare disease. I went to a doctor, and they gave me this thing, and I’m totally cured.” ............ Long term, as you think about a system that really just has incredible capability, there’s risks that are probably hard to precisely imagine and model. But I can simultaneously think that these risks are real and also believe that the only way to appropriately address them is to ship product and learn. .................. three potential roadblocks to progress: scaling the models, chip scarcity and energy scarcity .......... I think 2025 will be an incredible year. ............. He’s the president of the United States. I support any president. .......... The question was, will he abuse his political power of being co-president, or whatever he calls himself now, to mess with a business competitor? I don’t think he’ll do that. I genuinely don’t. May turn out to be proven wrong. ........... for all of the stories—people talk about how he berates people and blows up and whatever, I hadn’t experienced that. ............ The thing I really deeply agree with the president on is, it is wild how difficult it has become to build things in the United States. Power plants, data centers, any of that kind of stuff. I understand how bureaucratic cruft builds up, but it’s not helpful to the country in general. It’s particularly not helpful when you think about what needs to happen for the US to lead AI. And the US really needs to lead AI.

This blog just reinforced my feeling that the next 5-10 years will feel like living through 100 years in terms of change, disruption, and human progress

— Mario Puzo (@38capital) January 6, 2025

Sam, as one of the first beta testers in Europe since ChatGPT’s launch in 2022, I’ve been amazed at how quickly it’s grown into something so impactful and efficient.

Your commitment to aligning AGI with human values and your vision for its role in benefiting humanity are truly…

— Luciana Villanti (@lucianavillanti) January 6, 2025

Idea: one way voice mode. Listens to audio/speech but replies with text only. Takes text prompts also while still listening. Seems this should be made for deaf/hearing accessibility situations at the least.

— David Mealo (@techSage) January 6, 2025

You carry that AGI around pic.twitter.com/rnk9TGodwz

— Jason Levin (@iamjasonlevin) January 6, 2025

Summary of "Reflections" by Sam Altman pic.twitter.com/DZWSQeqYQY

— MindBranches (@MindBranches) January 6, 2025

“We are now confident we know how to build AGI as we have traditionally understood it.” Because you already have

— $Q*🍓on Ethereum (@QStarETH) January 6, 2025

pic.twitter.com/GLCgtux3fr

— Scales of Insights (@scales_insights) January 6, 2025

yes i really do; i hope we can start a lot more public debate very soon about how to approach this

— Sam Altman (@sama) January 6, 2025

Can you imagine this time last year ChatGPT couldn't reverse the word "strawberry" 🤯

Excited to see what next year brings!

— Michael Luo (@AzianMike) January 6, 2025

Feedback is welcome https://t.co/0pFnPaCgtG

— Elon Musk (@elonmusk) January 5, 2025

I used the ChatGPT image generator to draw a pie chart. It just could not do it. Multiple tries. Looks like ChatGPT is spatially/geometrically challenged. @openai @sama

— Paramendra Kumar Bhagat (@paramendra) January 6, 2025

I have not used Grok.

— Paramendra Kumar Bhagat (@paramendra) January 6, 2025

Grok will be the best source of truth by far https://t.co/PvtFaLwm9f

— Elon Musk (@elonmusk) January 5, 2025

Make men masculine again. It matters.

— Nichole Wischoff (@NWischoff) January 5, 2025

insane thing: we are currently losing money on openai pro subscriptions!

people use it much more than we expected.

— Sam Altman (@sama) January 6, 2025

Free Education And Health Care For All In Nepal By Way Of A Referendum https://t.co/sVpyhSy9ai

— Paramendra Kumar Bhagat (@paramendra) January 6, 2025

Boyan says this is 1-2% of global plastic emissions. If it were only 1% and they were able to keep growing at this rate, they'd capture all emissions in 8 years. https://t.co/NQf0gnxjAJ

— Paul Graham (@paulg) January 5, 2025

The numbers are in: In 2024, @TheOceanCleanup removed 11,740,000 kg of trash—a 78% year-over-year increase.

A big thank-you to everyone who helped make this happen!

Now, let’s double this in 2025! pic.twitter.com/UwYy5PUh9G

— Boyan Slat (@BoyanSlat) January 3, 2025

These are my favorite books I read this year. 📚 What are yours?

Not the End of the World by @_HannahRitchie
Essential reading for anyone who wants to understand the current state of the world’s environmental problems and how to solve them in a constructive way.

1491 by… pic.twitter.com/OdneMck5HK

— Boyan Slat (@BoyanSlat) December 27, 2024

Nothing demonstrates better that Zelensky has become a tremendous leader than his self-control in the face of such demeaning, morally vacuous lines of questioning. The rage and horror must be overwhelming. Superhuman. https://t.co/J6N4iFHh0q

— Garry Kasparov (@Kasparov63) January 6, 2025

All my most mentally ill friends ended up as mental health professionals

— Nikhil Krishnan (@nikillinit) January 5, 2025

When I was running Viaweb I was puzzled by this kind of graph, with alternating steep growth and flat spots. Then I realized it was just sin(x)-like variability added to a consistently growing function. This is what "ups and downs" look like in a world of overall growth. https://t.co/8VxNKKljoa

— Paul Graham (@paulg) January 5, 2025

Explain the Zen.

— Paramendra Kumar Bhagat (@paramendra) January 6, 2025

Great news: Seattle just raised its minimum wage to $20.76/hr, one of the highest in the nation! 🎉

I’m proud to see my hometown leading the way in putting workers fast. Now let’s get it done nationwide.

— Pramila Jayapal (@PramilaJayapal) January 5, 2025

In the 1990s, the top .01 percent paid about 30-35% of an effective tax rate. Today, they pay 20%. Republicans want to give more tax breaks to the ultra wealthy. Democrats want to raise taxes on these billionaires to pay for healthcare, jobs, and childcare. That's the difference.

— Ro Khanna (@RoKhanna) January 5, 2025

It is my earnest hope that His Majesty considers this matter in the interests of his subjects https://t.co/xUD8lOym8g

— Elon Musk (@elonmusk) January 4, 2025

The Reform Party needs a new leader. Farage doesn’t have what it takes.

— Elon Musk (@elonmusk) January 5, 2025

my prediction is that the alcohol-driven culture of nightlife is going to go though a huge upending

Now is a good time to open that late night decaf tea house, evening bathhouse, game board parlor, or cozy cafe that closes at 2am pic.twitter.com/TFPi6BRTF9

— Patricia Mou (@patriciamou_) January 5, 2025

The minimum wage is worth nearly 30 percent less than it was 15 years ago and hasn’t been raised since. That’s appalling.

Congress needs to give Americans a family-supporting wage.

— Rep. Ro Khanna (@RepRoKhanna) January 5, 2025

Kalkiism: A Radical Vision for the Future Economy

Kalkiism: A Radical Vision for the Future Economy

In an age where robotics and artificial intelligence are rapidly transforming the global workforce, a groundbreaking economic philosophy is emerging to ensure humanity reaps the benefits of these immense productivity gains. Kalkiism, as outlined in the book The Kalkiist Manifesto, proposes a revolutionary system that challenges conventional economic norms and envisions a world built on equality, fairness, and human dignity.

What Is Kalkiism?

Kalkiism reimagines the economic structure by replacing money with time as the universal unit of value. In this system:

• All jobs earn the same hourly wage measured in time units (seconds, minutes, hours).
• Purchases are made using these time units, creating a standardized, equitable value system.
• Everyone has a job, including traditionally undervalued roles like caregiving and homemaking.

The idea is simple yet transformative: when you work eight hours, you earn eight hours. This approach eliminates disparities in wages, elevates all forms of labor to equal status, and ensures that the economy values contributions based on time rather than monetary worth.

The Role of Technology

Kalkiism recognizes that advancements in robotics and AI have unlocked unprecedented productivity potential. These technologies can handle repetitive, hazardous, or high-efficiency tasks, freeing human workers to focus on creative, social, and meaningful roles. Kalkiism leverages this shift by:

• Reducing reliance on long working hours.
• Ensuring the equitable distribution of AI-generated wealth and productivity gains.
• Emphasizing the importance of human labor in areas where technology cannot replicate empathy, care, and creativity.

Why Nepal?

The Manifesto suggests launching Kalkiism as a pilot project in Nepal. This small yet diverse nation provides an ideal testing ground for such a system due to its:

• Manageable population size.
• Existing challenges with economic disparity.
• Rich cultural emphasis on community and cooperation.

Starting small allows for iterative improvements and the development of scalable strategies before introducing Kalkiism on a global stage.

The Potential Benefits

Kalkiism offers a range of advantages that address some of today’s most pressing economic and social issues:

1. Social Equity: By removing monetary disparities, Kalkiism eliminates the gap between high-paying and low-paying jobs.
2. Recognition of Unpaid Work: Domestic and caregiving roles, often overlooked in traditional economies, are fully integrated and valued.
3. Simplified Economy: Time replaces complex monetary systems, reducing corruption and inefficiency.
4. Productivity and Fairness: Robotics and AI maximize production, ensuring everyone’s basic needs are met while maintaining fairness.

Challenges to Address

Despite its promise, Kalkiism raises several questions and challenges:

1. Value of Specialized Labor: Professions requiring extensive training, like medicine or engineering, may need additional incentives to attract skilled individuals.
2. Global Integration: Transitioning from a money-based global economy to a time-based one will require significant coordination and collaboration.
3. Resource Allocation: Managing the distribution of scarce or high-demand resources could be complex without monetary pricing mechanisms.
4. Innovation Incentives: Without monetary rewards, encouraging entrepreneurship and technological advancement might be difficult.

Open Questions

Kalkiism opens the door to intriguing possibilities, but some crucial questions remain:

• How will overconsumption or hoarding be addressed when goods are priced solely in time units?
• What systems will ensure meaningful societal contributions from all participants?
• How will international trade function under a time-based economic model?

The Vision Ahead

Kalkiism is more than an economic system; it is a call to rethink the way we value human effort and creativity in the age of automation. By aligning economic rewards with time—a resource every individual has equally—it aims to build a world where fairness, equality, and opportunity prevail.

As the pilot project in Nepal unfolds, the global community will watch closely to see if Kalkiism can deliver on its promises. Could this radical vision be the key to a fair and prosperous future? Only time will tell.

16: AI

Interesting.

We need to rethink how messaging, including email, works overall. https://t.co/6wZAslJLTc

— Elon Musk (@elonmusk) December 15, 2024

In Switzerland, 1 in 7 adults is a millionaire.

This is 5 times more than in the US.

So, I wanted to learn their wealth-building habits.

Here are 7 ways the Swiss approach money to become richer than you: pic.twitter.com/fSWz9ZCYGQ

— Neel Shah (@codedailyML) December 15, 2024

I invested more in Boom than I've ever invested in a startup before. But this company is important for America. They'll also make a huge amount of money if they succeed. No one else is anywhere near having a supersonic airliner. https://t.co/BHyMD64jMJ

— Paul Graham (@paulg) December 15, 2024

The key to financial freedom:

Passive income.

If you want to make money while you sleep...

Here are the 10 best passive income streams anyone can start in 2025 (no experience required):

1. Laundromats pic.twitter.com/mFU8Joixux

— Mike Hoffmann (@MrPassive_) December 16, 2024

If Elon Musk starts his own UNWOKE search engine, would you use it over Google? pic.twitter.com/9JCk9uvxbU

— TaraBull (@TaraBull808) December 15, 2024

The most bullish AI capability I'm looking for is not whether it's able to solve PhD grade problems. It's whether you'd hire it as a junior intern.

Not "solve this theorem" but "get your slack set up, read these onboarding docs, do this task and let's check in next week".

— Andrej Karpathy (@karpathy) December 14, 2024

This is what generative models are for pic.twitter.com/qQ92UtQ3gP

— Andriy Burkov (@burkov) December 15, 2024

The United States is going to thrive if our strategy is to bring wealthy people to Mar-a-Lago, put them in front of the media, and then request $100 billion more than they were prepared to invest.

Incredible.pic.twitter.com/kuWgbW1McD

— Anthony Pompliano 🌪 (@APompliano) December 16, 2024

Powerful
pic.twitter.com/2lheQf4vZj

— Elon Musk (@elonmusk) December 15, 2024

It’s ~120m tall today. Probably grows another ~20m over time. https://t.co/wYEHq26gOE

— Elon Musk (@elonmusk) December 15, 2024

pic.twitter.com/xBaqUk0wcR

— Elon Musk (@elonmusk) December 15, 2024

The Next Smartphone Will Have IOT Elements

No longer are smartphones substantially better than they were a year or two ago. We have been in this era of small tweaks for a while now. But we might be about to hit a critical mass of innovation in the industry. Imagine a smartphone that has internet access at every point on earth due to satellite internet. And imagine a smartphone that is constantly just charging itself because it grabs energy from light, sun or not. And imagine a smartphone that you don't have to actively stare at, actively touch. Those are the three pain points right now.

The Next Smartphone Will Have IoT (Internet Of Things) Elements

For years, we’ve witnessed the relentless march of smartphone innovation. From retina-searing displays to lightning-fast processors, each new release seemed to outpace the last. But in recent times, the evolution of smartphones has felt… incremental. No longer are they dramatically better than the models from just a year or two ago. Instead, we’re stuck in an era of small tweaks and minor upgrades.

Yet, that might be about to change. We could be standing on the brink of a critical mass of innovation in the smartphone industry. The next generation of devices is set to redefine what we think a smartphone can be, integrating cutting-edge Internet of Things (IoT) elements to solve key pain points.

Always Connected: Satellite Internet

Imagine a smartphone with seamless internet access no matter where you are on the planet. No more dead zones or frantic searches for a Wi-Fi signal. Thanks to advances in satellite internet technology, smartphones could soon come equipped with always-on connectivity. This would unlock possibilities for travelers, adventurers, and even those in rural areas where traditional cell networks struggle to reach.

Self-Charging Devices

One of the perpetual frustrations of modern smartphones is battery life. What if you never had to worry about plugging in your phone again? Future devices could harness ambient light to charge themselves, whether it’s sunlight streaming through a window or the glow of indoor lighting. This revolutionary approach to energy capture could make battery anxiety a relic of the past.

A Hands-Free Future

Smartphones have always demanded our attention, requiring us to stare at screens and actively engage with them. But the next wave of innovation could free us from this constant interaction. Advanced sensors, voice commands, and AI-powered assistants will allow us to use our phones more passively. Picture a device that proactively responds to your needs, seamlessly integrating with your daily life without requiring constant input.

The IoT Revolution

These advancements point toward a future where smartphones are more than just devices—they’re nodes in an interconnected IoT ecosystem. Always online, self-sustaining, and unobtrusive, the next smartphones will blend into our lives more seamlessly than ever before. They won’t just be better versions of what we have now; they’ll be transformative tools that redefine how we interact with technology.

The era of incremental upgrades may be coming to an end. The next smartphone could be a leap forward, solving pain points that have frustrated users for years and heralding the dawn of a truly connected world. Are you ready for what’s next?

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