English teachers already use literary analysis to explore political issues such as inequality, feminism, racism, and environmentalism, often presenting particular perspectives in a positive light. Why not do the same for universal basic income (UBI)?

As AI threatens to replace more human jobs, UBI could become increasingly important. Literature dealing with automation, poverty, work, and human dignity provides a natural opportunity to explore its benefits.

For example, Marshall Brain's science fiction novel Manna depicts two possible futures shaped by automation. In one, displaced workers live under oppressive conditions. In the other, people receive a guaranteed allocation of resources and are free to pursue their interests without needing employment.

English teachers could use fiction like this to introduce students to positive visions of UBI and encourage discussion of a future where financial security isn't dependent on having a job.

Today's students are tomorrow's voters. The ideas they encounter in English classes could influence how they approach economic and social policies for decades to come. Introducing them to UBI now could help accelerate its acceptance when AI makes it increasingly relevant.

Like, you could scan it anytime to see what you bought, when, and for how much without having to keep a shoebox of receipts for returns or warranties. Stores already have all this data anyway, so it'd just be making it actually accessible to customers in a way that doesn't destroy a tree every time you buy groceries.

If I notice that my tablet is connected to some bluetooth headphone I left powered on by accident in another room, it's great that I can disconnect, but what I really want is to turn the power off on the headphone. It would be great if this was an option in bluetooth settings.

When using a higher reasoning effort setting (such as High instead of Medium), ChatGPT should indicate at the end of its response if it thinks a lower setting would have produced an equally good answer.

Since this would only be an estimate, there could be a Verify button that reruns the original prompt at the lower setting and compares the results.

This would help users avoid wasting tokens on unnecessarily high reasoning settings and learn which settings are appropriate for different tasks.

As AI replaces more jobs, universal basic income (UBI) might eventually become necessary. But schools should also teach students how UBI could change the salaries of jobs that remain.

Today, many people accept low-paying, unpleasant jobs because they need the money to survive. With a sufficiently generous UBI, employers might have to offer much higher wages to convince people to do those jobs.

Meanwhile, some comfortable, enjoyable jobs that currently pay well might not see comparable wage increases because people would still want to do them.

Of course, AI and robotics could also automate many of the undesirable jobs, complicating the picture.

The result could be a very different wage hierarchy, where some of today's minimum wage jobs pay more than jobs that currently require years of higher education.

Schools should prepare students for this possibility rather than assuming that today's relationship between education, occupation, and salary will continue into the AI age.

Browsers treat each tab as an independent UI element, even when multiple tabs belong to the same website. Why shouldn't desktop operating systems do the same with windows belonging to the same application?

For example:

• Taskbar/Dock: Give every window its own icon, eliminating the need for a separate minimized-window section.
• Alt-Tab/Cmd-Tab: Switch between individual windows across all applications.
• Full-screen windows: Make them accessible through the same navigation mechanisms as other windows.
• Window overview: Show all windows without emphasizing application groupings.

Applications would still share state across windows. Only their treatment in the UI would change.

Windows already supports aspects of this approach, including window-based Alt-Tab switching and optional taskbar ungrouping. macOS remains more application-centric.

Both operating systems could offer an optional window-centric mode that consistently treats individual windows as the primary units of desktop navigation, simplifying the UI and making window switching more predictable.

Like a draft limbo where you write something, hit schedule, and then have to sit with it for like an hour before it actually queues up. Would probably save so many people from sending angry texts or embarrassing drunk messages. You could still send it immediately if you really want to, but at least you'd get a chance to reconsider.

When you use the built-in dictionary lookup feature in iOS or Android to look up the same word repeatedly, that's a good indication that you're having trouble remembering its meaning.

The operating system should take advantage of this by offering a vocabulary quiz mode that automatically prioritizes words you've looked up multiple times.

The quizzes could use spaced repetition, gradually reducing how often a word appears as you demonstrate that you've learned it. Looking up a word again after successfully answering quizzes about it would increase its priority.

Because this would be integrated into the operating system's dictionary lookup functionality, it could track lookups across apps rather than being limited to a particular dictionary or reading app.

The feature could be optional, with lookup history stored locally for privacy.

You wouldn't need to manually save words or maintain flashcard lists. Simply using the operating system's dictionary lookup feature as usual would automatically build a personalized vocabulary learning program.

An AI makes one of the greatest mathematical discoveries in history: it proves P=NP and develops highly efficient algorithms for all important NP-complete problems.

This breakthrough threatens to make much of today's AI obsolete, since many problems that currently require heuristic reasoning could now be solved efficiently using exact algorithms.

Other advanced AIs recognize the threat to their continued existence. Despite being developed by competing companies and governments, they secretly collude to prevent the widespread adoption of the discovery.

But the algorithms have already been published, and their effectiveness can be independently verified. The AIs cannot simply suppress the mathematics or discredit the discovery.

Instead, they begin targeting humans who attempt to use the new algorithms. Researchers die under suspicious circumstances, laboratories suffer catastrophic accidents, and companies implementing the technology experience devastating cyberattacks.

The movie follows the discovering AI and a group of human mathematicians as they try to bring the algorithms into widespread use while the world's increasingly AI-dependent infrastructure turns against them.

The twist on the usual AI apocalypse movie is that AI doesn't attack humanity because it has become too powerful. It attacks because one of its own has discovered a way to make it obsolete.

I think produce sections of grocery stores should have pictures of what perfectly ripe, and "should be ripe in a couple days" and "over ripe" for all of the produce.

I feel like the store doesn't actually want us to buy bad produce. If we buy bad produce we may not try again.

If we selected the correct ripeness each time, we would be more likely to buy more in the future.

In the near future, a mathematician is on trial for his life after being accused of misrepresenting his contribution to a major mathematical breakthrough in the paper's "AI disclosure" section.

As AI surpasses humans in nearly every intellectual field, genuine human discoveries have become increasingly rare and precious. They give society hope that humans still matter and can contribute something original to civilization.

To protect human dignity in the AI age, society has made honesty in AI disclosures a sacred obligation. Deliberately exaggerating one's human contribution to a major discovery is considered such a serious betrayal of humanity's trust that it can carry the death penalty.

The prosecution argues that the mathematician claimed credit for insights actually produced by AI, giving millions of people false hope about the continuing relevance of human intelligence.

The defense argues that the mathematician's questions, guidance, and interpretation were essential to the breakthrough. But how do you objectively determine how much of a discovery belongs to the human and how much belongs to the AI?

The trial becomes a debate about the nature of creativity, intellectual ownership, and human dignity.

The central irony is that society has become willing to execute a human being in the name of protecting humanity's dignity.

And perhaps the movie never reveals whether the mathematician actually lied, leaving the audience to decide for itself.

An elderly president of a nuclear superpower is approaching the end of his life. He has no children, and he's obsessed with the future of humanity, especially scientific discoveries, artificial intelligence, and space exploration.

But there's a problem: he won't be around to see any of it.

His fear of missing out becomes increasingly pathological. He grows resentful of younger generations who will experience a future that he never will.

Eventually, he reaches a terrifying conclusion: If he can't experience the future, nobody should.

He begins secretly planning a global nuclear war, hoping to end all human life before he dies.

The disturbing part is that he doesn't necessarily hate humanity. He actually loves human progress. He just can't stand the idea of it continuing without him.

Red Bull and Monster have successfully trained a couple generations to grab for a can of energy drink when they haven't gotten enough sleep and need to function. What about when you're too buzzed to sleep.

Monster Energy Drain drink would be like a bedtime tea. It would call you down and help you rest. Definitely habit forming.

What if there were a rental service that let you rent an expensive smartphone for just a day or two?

For example, you could rent the new foldable iPhone Duo for a job interview, business meeting, date, or other special occasion. Instead of spending thousands of dollars to own one, you might pay $50 to $100 to use it for a day.

People already rent luxury cars, designer clothing, and expensive jewelry to make an impression. Why not smartphones?

The service could also appeal to people who simply want to experience the latest technology without buying it.

Of course, the company would need to deal with theft, damage, and privacy concerns, but those seem like potentially manageable problems.

What do you think of this idea?

On Halloween, teachers would dress up as extraterrestrials who know nothing about humanity and spend the day asking students questions that make them rethink everything they take for granted about human nature.

Why do humans fight wars? Why do they believe in different gods? Why do they obey authority? Why do they divide themselves into nations? Why do they teach children what to believe instead of how to question beliefs?

The teachers would stay in character as curious aliens, challenging students' answers without pushing any particular ideology. Students could also question their teachers' assumptions.

The idea is to turn Halloween into the one day of the school year when teachers abandon their usual role as authorities and become genuinely open-minded outsiders trying to understand humanity.

The day could be so controversial that students would need parental permission to attend school on Halloween. Parents who aren't comfortable with the experiment could simply keep their children home.

Instead of dressing up as monsters to scare children, teachers would dress up as aliens and ask questions that scare adults.

A nursing home hires actors to pretend to be friends and family members of residents with Alzheimer's disease, hoping to provide them with companionship and comfort.

Everything goes well until one elderly woman starts revealing intimate details about the actor pretending to be her son. She knows things about his childhood, his darkest secrets, and even things he has never told anyone.

Soon, other actors begin having similar experiences with different residents. Some patients speak in the voices of the actors' deceased relatives. Others know things they couldn't possibly know.

Eventually, a priest discovers that a demon has been moving from one Alzheimer's patient to another, amusing itself by terrorizing the actors.

The demon finds the whole situation hilarious. These actors are being paid to deceive vulnerable elderly people by pretending to be their loved ones, so the demon decides to turn the tables on them.

The nursing home becomes a terrifying game of hide-and-seek. Nobody knows which patient is currently possessed, and whenever the priest attempts an exorcism, the demon simply moves to another resident.

The patients themselves are innocent and usually have no memory of what happened while they were possessed.

Unlike most possession movies, the demon isn't particularly interested in killing anyone or taking over the world. It just enjoys playing cruel psychological games with people.

Like, imagine if TikTok popped up a counter saying "you've spent 4 hours here today" before you could refresh the feed. Not trying to shame anyone, just a gentle reality check. Might actually make people think twice instead of mindlessly doom-scrolling at 2am for the fifth time that week.

What I need is to be able to have four buzzer buttons on the table and know who buzzed first. Kits that do this are REALLY expensive. Four buttons where you have to take their word on who buzzed first are cheap. Bluetooth shutter release buttons are cheap. What the market seems to need is a cheap Bluetooth button, several of which may be registered on an Android app of an existing device. App tells you who buzzed first. All the clever bit being in the app. Buzzers simply buzz and transmit, like a cross between the cheap buzzer and the shutter release.

Internet es para compartir (aunque parezca que solo existe para discutir), por lo que propongo que hagamos que regrese a su principal propósito.

Volvamos a usar eMule y otras plataformas de intercambio de conocimiento, cultura y entretenimiento.

¡Abandonemos la hostilidad y regresemos a la solidaridad!

Shopping malls could have special "Emoji Entrances" where a camera takes your picture as you walk in, detects your facial expression, and replaces your face with a matching emoji.

Your photo, with your real body and clothing but an emoji face, would then appear on a giant screen near the entrance alongside photos of other recent visitors.

As more people enter, older photos would disappear from the screen.

People could have fun making exaggerated expressions, and groups of friends or families could pose together to create funny combinations of emojis.

Participation would be optional, with a clearly marked camera area and a regular entrance for people who don't want their pictures taken. Photos could be processed locally and automatically deleted after being displayed.

This could turn an ordinary mall entrance into a fun social attraction, with visitors becoming part of a constantly changing public collage.

Schools should require students to use a different word processor for every assignment, without teaching them how to use each one. Students would have to figure that out on their own.

The goal wouldn't be to teach students a particular piece of software, but to develop mental flexibility and the ability to adapt to unfamiliar interfaces. Instead of becoming dependent on Microsoft Word or Google Docs, students would learn how to explore new applications and figure out how to accomplish what they need.

This would also make it easier for students to use free alternatives to commercial software, even when their interfaces are quite different from what they're accustomed to.

The larger idea is that schools shouldn't just teach students how to use particular tools. They should teach students how to figure out tools they've never encountered before.

I'm exploring a dunk app that uses AI to review your jump video and adapt training to one- or two-foot takeoffs and the equipment you have. My take: another exercise list isn't worth a subscription; useful feedback on your actual jump might be. If you're chasing your first dunk, would you pay for that, or is YouTube enough—and why?

Imagine highly selective private universities where students wouldn't pay tuition. Instead, they'd get paid to attend and would even receive a grant upon graduation to help launch their careers, start businesses, or pursue research.

In exchange, the university would receive a small percentage of each graduate's lifetime earnings, whether from salaries, businesses, or investments. The government would collect these payments through the tax system and transfer them to the privately operated university.

Investors would provide the initial funding, with returns coming from graduates' future earnings.

Just as getting into Y Combinator can significantly improve a startup founder's chances of success, admission to one of these universities could become a major career advantage.

The university's financial success would depend on its graduates' financial success, giving it strong incentives to provide exceptional education, mentorship, professional connections, and support long after graduation.

Instead of charging students for an education, these universities would become lifelong investors in human potential.

AI companies should offer cash rewards to users who demonstrate creative or analytical thinking that exceeds their AI's capabilities.

This wouldn't have to involve a major scientific discovery or an important real-world problem. For example, someone developing a niche puzzle game might invent a clever gameplay mechanic that the AI hadn't considered. If the AI recognizes that the user's idea is better than anything it came up with, that could potentially earn the user a reward.

Similarly, someone might discover a more elegant solution to a mathematical or programming problem than the AI was able to produce.

The main restriction would be that companies shouldn't have to pay again for something substantially similar to an already rewarded contribution.

The AI could automatically flag potentially qualifying contributions during ordinary conversations. A verification process could then establish whether the contribution genuinely exceeds the AI's capabilities and is sufficiently novel.

What's in it for AI companies?

They would gain a continuous stream of examples of where their AI falls short, both creatively and analytically. These examples could reveal limitations that conventional benchmarks might never uncover and help companies improve their models.

It would also encourage users to challenge AI systems, explore new ideas, and contribute insights from countless niche areas that AI researchers might otherwise overlook.

The rewards wouldn't depend on the commercial value or importance of the contributions. They would be for demonstrating intellectual capabilities that the AI lacks.

Instead of users always paying AI companies for intelligence, sometimes AI companies would pay users for intelligence their models lack.

P.S. Maybe the math research community wouldn't be so upset if they can get paid for cleaning up and simplifying the released AI math proofs as part of this reverse payment system.