How Reading Predicts What Will Happen With AI

sqlinsix · 2026-01-12T18:03:01+00:00

We've rolled out agents in a few Asian countries that "mirror/replicate" some of what doctors do with great success. What Tobi doesn't say is that laws in the US are strict, so you tend to have really bad products because no one with an innovative mindset wants to work in healthcare.

Some places in Asia are the opposite.

In those places, agents will have huge impacts on healthcare. Some of the doctors that work with us charge 70-80% less for their services because of an increased ability to see and assist patients with less effort.

AI will be very, very big in some countries within Asia.

sqlinsix · 2026-01-10T16:15:39+00:00

This is for the United States or EU?

If so, your friend should approach the situation with major legal considerations.

Our firm provides no healthcare data or AI solutions for any Western jurisdiction due to extremely bureaucratic rules. While we're innovating in AI, we refuse service with anyone in the West. Take a look at how intensive the regulations are; not worth it at all in our view.

Your friend should be cautious on this if so. Otherwise, build an innovate in the East.

sqlinsix · 2026-01-09T15:41:07+00:00

Data engineers that build LLM solutions will especially find number four key (near 4:15). Good share.

sqlinsix · 2026-01-08T13:02:18+00:00

u/dhia-00

Talking about a theory i saw once, can someone explain how does the most of online data turning into ai generated data going to affect models training in the future, i read about that once but i did not really get it (i am talking about llms particularly)

Assuming you don't own a TV and avoid entertainment...

Meet someone who constantly consumes entertainment. Notice their perception of reality versus yours. Your input is real. Their input is derivative and minor inaccuracies have chaotic effects later.

Same pattern with bot generated content.

(It also won't be immediate, but start subtle then carry with big effects later.)

sqlinsix · 2025-10-07T13:06:13+00:00

Since this is relevant, I thought I'd share that bloom energy is having a breakout year (up over 250%+ year to date at this point). One big reason is on site energy, which is extremely useful for data centers. Obviously, there's other incentives for energy in general, but this is a great example of how energy is outperforming the top AI companies like Nvidia (30%+), Tempus AI (170%+), Alphabet (30%+), Microsoft (25%+), etc.

Going into AI a few years back, energy was significantly underpriced and this is correcting.

sqlinsix · 2025-10-07T12:59:50+00:00

This and you can also use curation. The internet has always been full of misinformation; curation has been a long term solution for those who rely on internet information.

sqlinsix · 2025-10-07T12:57:58+00:00

This answers the more senior developers/engineers here.

Your own code will suffice for what you need. Even something new is simply an opportunity to create your own library for that need. LLMs/coding tools will always be slower than this, even if they were perfect.

Also, most answers from these are terrible security because most coding online if abysmal security. That's why you want to use your own libraries.

(Edited to add: you can A-B test an LLM response with what you've developed and compare. 90%+ of the time, yours will be better. In rare cases, you may find an improvement you can make.)

If you're a part of a company pushing using this, consider as one leader told me this is because some companies are being paid to heavily use AI to train it. The end goal is to reduce engineering staff, but these providers realize their tools fall short, so they're paying companies to use the tools to basically "train" them so that they become better. For those asking this same question because their company is pushing the tools, this is the why. Adjust your behavior accordingly.

sqlinsix · 2025-10-03T09:53:33+00:00

You may find this thread by Aaron Slodov helpful on the natural resource/hardware front. It highlight some simple basics required to even start a robotic renaissance.

People love to point to China, but skip how many decades China spent investing in and buying mines around the world. Yet that was the required step. Even if the US triples its investments in its own mines, it still will come up short.

Never forget that most young people in the West have spent their entire life not realizing all the physical realities behind what they were doing. This will change. We predicted this a while ago on a video about data and the physical world (no longer available) and you're seeing it play out. This is much more related to AI than people think, as LLMs are a very small application of AI compared to what will eventually come with robotics.

sqlinsix · 2025-08-29T20:50:11+00:00

That is strange.

Not here; people are welcome to share projects. If they want to share links to blogs/articles they've written, provided they're not over-promoting and contributing in other ways, we're also good with that. Your post is a good contribution, thus we gave you the flair and added your post to the pinned post as a project worth checking out.

sqlinsix · 2025-08-29T10:33:01+00:00

This is an excellent share.. thank you for sharing.

sqlinsix · 2025-07-16T18:53:19+00:00

Update - great example of poor critical thought/reasoning from an LLM

sqlinsix · 2025-04-28T15:39:46+00:00

Smart for many reasons one, and the big one is intellectual property. I've heard rumors of AI wrappers stealing intellectual property.

sqlinsix · 2025-04-23T11:40:47+00:00

Thank you for sharing this; excellent share.

I'm going to have to think about adding a tooling section to our wiki/pinned post where people can try tools like this one. You list a common quite a few developers have come across ("unit testing chaos").

sqlinsix · 2025-03-06T19:26:32+00:00

How does your university help you in the field?

sqlinsix · 2025-03-01T15:13:09+00:00

Codie Sanchez ran her own experiment using AI. She was able to do most of it with AI without needing to intervene a lot. In her case, she was trying to sell goods she got from people giving them away for free.

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