It will be interesting to see how well Waymo does with snow!
when was the last time NYC had any snow?
Readit Newsyuxt commented on Self-driving cars begin testing on NYC streets amny.com/nyc-transit/self... · Posted by u/pkaeding
yuxt commented on Mind-Bending Soviet Era Oil Rig City on the Caspian Sea cnn.com/2024/11/06/climat... · Posted by u/rramadass
I think your expedition was actually along Aral sea. That is dried.
Caspian sea is rather stable.
The Volga Hydroelectric Station, located on the Volga River, directly impacts the Caspian Sea. The Volga River, Europe’s longest, flows into the Caspian Sea and contributes about 80% of its freshwater inflow. The construction of the Volga Hydroelectric Station and other dams along the river has altered its natural flow, reducing the volume of water reaching the Caspian Sea. This reduction has contributed to the sea’s declining water levels.
https://earthobservatory.nasa.gov/images/150452/the-caspian-...
yuxt commented on Mind-Bending Soviet Era Oil Rig City on the Caspian Sea cnn.com/2024/11/06/climat... · Posted by u/rramadass
In the late 1980s, I went on an expedition along Kazakhstan's eastern shore of the Caspian Sea. One of our stops was supposed to be a fishing village, but when we got there, it was completely empty. Hundreds of mud huts sat abandoned as everyone had just disappeared. In one of the yards, a camel was still there. It felt haunting, like walking through a ghost town. The strangest part? There was no sea anywhere nearby! The Caspian had dried up so quickly that people had to leave their homes behind because they couldn’t live there anymore.
yuxt commented on RAG vs. Fine-Tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture arxiv.org/abs/2401.08406... · Posted by u/yuxt
The paper "RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture" compares Retrieval-Augmented Generation (RAG) and fine-tuning techniques in Large Language Models (LLMs). It proposes pipelines and evaluates their trade-offs using popular LLMs like GPT-4. The paper includes a detailed case study in agriculture to provide location-specific insights to farmers. Results show that fine-tuning improves model accuracy significantly, and when combined with RAG, it enhances accuracy even further. The paper demonstrates how LLMs can be adapted for industry-specific knowledge, potentially transforming various industrial domains.
yuxt commented on Ask HN: You're planning a vacation to somewhere, what's your process? · Posted by u/lgregg
There was a submission today that helps with а task planning using ChatGPT, one of the examples was TravelGPT
yuxt commented on Ask HN: What crypto do you use for a consumer facing app? Is Ethereum OK? · Posted by u/mmdoda
Look into stablecoins or layer 2
I think people need to start realising just how incredibly much the government is now stepping in at each of these crises to make them as smooth as possible. But there is a downside to this. You are not allowing the normal economic effects to happen because you are wanting to keep everything as it is, but then guess what, the status quo stays, and anyone joining the ladder is finding it increasingly difficult.
What's amazing is how the narrative around this however is that we need MORE government to set things right. Yet in the tech bubble the government blew up the real este bubble, in 2008 all the banks got saved along with loads of other insurance and other businesses, and now we have the largest stimulus packages ever. (on top of government subsidised student loans, which have made loads of money available for college, pushing up prices).
It's counter intuitive but in the long run this is BAD for anyone that doesn't already have something. It inflates asset prices, it locks in people who already have something. It's bad for millennials. And millennials shouldn't be arguing for more government intervention, but less. Let things fail, so that the waste can get burned off.
Unfortunately it seems a lot of people think things literally need to be burned down for there to be change. But let's be clear, 30-40 years of interventions by governments did this, which is exactly what left leaning people want of government.
The issue is not really that the government is bad, the problem is it has become a proxy for ultra rich to push their agenda. You can probably make it more efficient by limiting corporate sponsorship and making it more transparent. Millennials don't have many options or tools at their disposal to influence the direction we are heading.