Phones are like 💻 now. The year-to-year improvements are tiny. Some factors related to this –

At least for folks like me who sometimes read re chips, chip improvements are 👍. But big year-to-year improvements are probably hard. If it was easy, Apple or Qualcomm may have already made a chip that was 2 or 3 times faster than the old 1.

So hard to have a clean implementation of under-screen cam and face recognition sensors. Hence, hole punch. Samsung fold has an under-screen front cam but the implemention wasn’t clean and the pic quality is below average.

So hard to make a 🔋 that’s 2 or 3 times better than the old 🔋. The tech world has been so hungry for a 🔋 innovation for a long time. There was optimism re graphene. Idk if it’ll succeed in mass production.

Is this the word firms use to kinda hide their error, which was moving to the cloud?

A traditional soldering iron in my nation costs about PHP 450 (about USD 7.95). The portability, accelerometer, temp control, easy repair and the ability to solder while charging a phone are 👍, but USD 250 is so high.

About 10 years ago, my usb drive was Fat32 by default. I changed it to Ntfs due to Fat32’s 4-GB cap, which I’ve disliked. I’m still using Ntfs.

We mustn’t enter any private info in a large language model (llm) in the 1st place. The conversations are probably used to train ai models.

There should be 2 disclaimers in any llm –

1. The llm’s responses aren’t always based on facts. It can say wrong info sometimes.

2. Users mustn’t enter any private info in the llm.

Yes, 👍 apps.

The issue with touchscreen kiosks is that some have short arms.

On another note, I get the benefits of computer-voice-operated drive-thrus. No need to use your phone. If your phone’s 🔋 is 3%, you can still buy food.

My Samsung a70 doesn’t get major software updates anymore. I’m OK with it. I’ll use this as long as possible.

1 of the 👍 points that were brought up was artificial gatekeeping. Many techies know it but I guess many non-techies don’t know it. Phone makers intentionally not putting the newest features on the old phones to boost the newest phones’ sales should be widely known. I wonder what the public opinion will be.

I like that the writer thought re climate change. I think it’s been 1 of the biggest global issues for a long time. I hope there’ll be increasing use of sustainable energy for not just data centers but the whole tech world in the coming years.

I think a digital waiter doesn’t need a rendered human face. We have food ordering kiosks. Those aren’t ai. I think those suffice. A self-checkout grocer kiosk doesn’t need a face too.

I think “client help” is where ai can at least aid. Imagine a firm that’s been operating for decades and encountered so many kinds of client complaints. It can feed all those data to a large language model. With that model responding to most of the client complaints, the firm can reduce the number of their client support people. The model will pass the complaints that are so complex or that it doesn’t know how to address to the client support people. The model will handle the easy and medium complaints; the client support people will handle the rest.

Idk whether the government or the public should stop ai from taking human jobs or let it. I’m torn. Optimistically, workers can find new jobs. But we should imagine that at least 1 human will be fired and can’t find a new job. He’ll be jobless for months. He’ll have an epic headache as he can’t pay next month’s bills.

Moondrop space travel

I’m doubtful. I wanna hear more from security experts.

I open my vid in Vlc player then use the Windows live caption feature.

Live captions is usefuuuuul.

I’ve liked Windows 11. Hope they don’t degrade it by putting many unneeded ai tools in it.

The article is too long for me. 2 of its main ideas are “Everyone using large-language models should be aware of ai hallucination and be careful when asking those models for facts.” and “Firms that develop large-language models shouldn’t downplay the hallucination and shouldn’t force ai in every corner of tech.”

There was already so much misinformation on the Web before Chatgpt 3.5. There’s still so much misinformation. No need for the hallucination to worsen the situation. We need a reliable source of facts. Optimistically, Google, Openai or Anthropic will find a way to reduce or eradicate the hallucination. The Google ceo said they were making progress. Maybe true. Or maybe generic pr lie so folks would stop following up re the hallucination.

Nvidia is making so many Hopper and Blackwell cards, but is there a severe oversupply of gaming graphics cards (RTX 40 series)? I did a quick search. The Hopper can’t do games. Or if there’s a workaround, it won’t be as 👍 as a 40 series card.

The 3-nanometer thing was classic anticompetitive behavior right? Will the European union or the American government investigate Apple?

Tsmc surely is in a class of its own. The other Arm cpu makers are lagging.

I’m awaiting the M4 Macbook air. I wanna see the performance comparison between it and a Windows 💻 with a 2024 Intel cpu.

Re real leaks, Mark Gurman seems legit. When Gurman reported something, then I awaited Apple’s announcement, the official thing matched what Gurman said.

Please try Copilot, Claude 3 opus and Gemini. Please use whichever you prefer. :)

I prefer Claude 3 opus.

I guess Altman thought “The ai race comes 1st. If Openai will lose the race, there’ll be nothing to be safe about.” But Openai is rich. They can afford to devote a portion of their resources to safety research.

What if he thinks that the improvement of ai won’t be exponential? What if he thinks that it’ll be slow enough that Openai can start focusing on ai safety when they can see superintelligence’s approach from the distance? That focusing on safety now is premature? That surely is a difference in opinion compared to Sutskever and Leike.

I think ai safety is key. I won’t be :o if Sutskever and Leike will go to Google or Anthropic.

I was curious whether or not Google and Anthropic have ai safety initiatives. Did a quick search and saw this –

For Anthropic, my quick search yielded none.

Huge blow to Huawei, which is a firm I dislike.

It seems they can’t buy x86-architecture processors from Intel and Amd. How can they make x86 💻?

If Windows arm will succeed in the far future (this is a big if for me), I wonder if Huawei can buy Mediatek chips for Windows arm 💻. I did a quick search. It seems Mediatek wanna design arm chips for 💻.

A Reuters article said Qualcomm licensed their 5g tech to Huawei. I guess not being able to buy from Qualcomm isn’t a big issue for Huawei. Huawei has their own 5g tech.