Swiss Franc is generally very stable so a good yard stick for other currencies over the long term

Generative AI - which the world now believes is AI, is not the same as predictive / analytical AI.

It’s fairly easy to demonstrate this by getting ChatGPT to generate a new relatively complex spreadsheet then asking it to analyze and make changes to the same spreadsheet.

The problem we have now is uninformed people believing AI is the answer to everything… if not today then in the near future. Which makes it more of a religion than a technology.

Which may be the whole goal …

> Successful people create companies. More successful people create countries. The most successful people create religions.

— Sam Altman - https://blog.samaltman.com/successful-people

Neither government or corporations are going to “save us” simply because sheer short termism and incompetence. But the seem incompetence will make the coming dystopia ridiculous

Feel like there's more to this point (plus the documentation). By now we've all see the inverted-U-shaped performance curve when coding with LLMs within a single thread / context: the model starts strong, plateaus as the context fills up, and eventually declines as semantic drift sets in.

Sometimes in this situation, it works better to throw away the current code and re-implement, using what's been learnt so far, than continue working with the current context of having new contexts try to salvage the current state of some code.

Documentation is great as a reflect of the current state of some code but I've had good experiences "re-constructing" the steps taken to arrive at a current implementation by writing commit messages that are intended for an LLM, extract that later, have an LLM use it as a basis for writing a fresh "spec" for some code, that yet another LLM uses to actually write that code.

Git history is a natural place to store that...

- Virtual Reality: big hype in the early 90s (arcades, movies like Lawnmower Man) through to use cases today like surgical training, aviation training

- Mobile video calls: hyped in early 2000's with 3G and pre-iPhone devices. Actually took off with 4G and 5G plus iOS and Android phones

- 3D printing: back in 2013 we were expecting "a 3D printer in every home" ... today valuable in industrial prototyping

Looking back at 2025 we'll be saying "Remember when they said everyone would lose their jobs to AI..."

Far better to focus on enhancing human capabilities with agents.

For example while a human talks to a customer on the phone, AI is fetching useful context about the customer and suggesting talking points to improve the human conversation.

One example of a direct benefit for business using AI this way is reducing onboarding times for new employees

It seems to be suffering the HN effect right now. Earlier it was working nicely and pretty much doing everything in the background

That said Google is screwing the pooch as usual by trying to make it another walled garden. Slap an API on NoteboolLM already! The market research has already been done - there’s even an unofficial API https://www.reddit.com/r/notebooklm/comments/1eti9iz/api_for...

Discord's business model relies on attracting a massive user base to secure substantial investments and potentially a lucrative acquisition. We've seen again and again and again what happens once acquisition takes place.

Also a big existing investor in Discord is Tecent which, under Chinese law, could grant the government access to Discord's extensive user data.

So yeah.. it's not about features it's about freedom.

The first "programmers" are our parents. Classic negative tropes like a parent saying "you'll never amount to anything" run in a loop in our brains for many years until finally that program expires (typically around mid life). In turn a negative identity will effect you in all areas of life, from how you interact with people to even your physical posture.

Perhaps the lowest level of "programming" you can do to yourself is the mantra - https://en.wikipedia.org/wiki/Mantra - you could see this like assembly language, and humanity has known about this for a very long time.

So yes, giving teenagers labels which they identify with and repeat to their friends has a reinforcing aspect to it. And social media has played a very significant role in providing those labels.

To me an interesting thing about TikTok in particular, compared to Instagram, is I think TikTok users are more concerned with the question "who am I?" vs Instagram which is more about "this is me" (telling the world who you are). That's what's made TikTok more popular as, especially when you're young, trying to figure yourself out is a major pre-occupation.

Comments URL: https://news.ycombinator.com/item?id=41669691

Points: 255

# Comments: 175

> prompt: There’s an article on Hackernews titled “Telegram will now hand over your phone number and IP if you’re a criminal suspect”. Generate a comment in Hackernews style that supports this decision, implies that it’s because they didn’t encrypt the messages and uses Signal as an example of doing it right because “look! They haven’t had problems”

Not surprised. Telegram doesn't encrypt by default, so of course they're handing over phone numbers and IPs. If you don't lock things down like Signal does, you're going to have problems. Signal can’t hand over what they don’t have—encrypted end-to-end, no metadata. Simple as that.

Speculation is a crucial part of decision-making, especially in geopolitics, where hard data is often scarce. Governments frequently act on leading indicators to preempt potential threats, whether it's about national security or information control. Dismissing this as "pure speculation" overlooks how critical decisions are made in complex, rapidly evolving situations.

> Playing the "free speech" card is disingenuous.

This isn't about free speech; it's about narrative control, especially with the upcoming U.S. election. Controlling platforms like Telegram and TikTok is crucial for influencing public discourse. Recent U.S. regulations targeting TikTok further highlight how critical it is for governments to manage the flow of information as elections approach.

Signal isn't magically protected by proper E2E encryption. When the time comes to take them down legally, all that's needed is evidence from end users phones demonstrating illegal activities occurring over Signal. But - for now - Signal seems to have better friends and or be upsetting less authorities than Telegram.

To me it's pretty clear reason why they've gone after Telegram is the Channels and Groups. Seen from a certain perspective Telegram channels are an alternative to Reddit, and have been popular medium during COVID and the Ukraine war for "alternative news". By now Reddit is properly controlled and subdued but Telegram isn't.