This is an improvement within the current paradigm of "big ag", but IMHO tech is opening the possibility of a completely different way of doing things. For example, this comment which is below the linked video imagines a robot-maintained food forest, I think it's on point because I, too, believe that the future is swarms of small robots rather than a few big tractors:
> Imagine, a few years down the line, applying these principles to maintaining an edible polyculture ecosystem-farm. Not necessarily a big machine going through a flat field, but small drones tending to trees, vines, herbs, plants, pollinators and water features all in the location that is best for them based on local features. It could micromanage weeding and harvesting, but also composting, planting, grafting and nurturing keystone species and rare species while avoiding pesticide, nitrogen imbalance and soil compaction. A productive farm could look like the garden of Eden.
It reminds me of my favorite personal rpg game: One can find himself surrounded by superior minds which is quite humbling but what if this is not at all the case? You are to play the shining beacon of intellect in the room? Not much fun at all. Thus in stead one asks carefully crafted dumb questions until everyone is 100% convinced yours is the worse disposition. You still have to solve all the puzzels on the quest of live or whatever the mission your party of heroes gathered for but to avoid being discovered a nerd you quickly insert a dumb question. Is there alcohol in this beer? What day is it? etc Let them win with chess. Think deeply if you want sugar in your coffee.
People make the funniest faces. After a few reasonably dumb questions you can get away with slightly more stupid and work your way towards outlandish!
I suggested one time to take turns looking at google earth to see if someone walked out of a building.
A couple years from now, Metabook might find themselves in real trouble. They won't be the React of ML anymore. All the researchers who want to get work done have already flocked to Jax, so I suspect it's a matter of time till the rest of the world notices.
Time will tell. For now, it's by far the most fun I've had in my entire career. I've been in ML for awhile now, but my background was gamedev, finance, and security -- I encourage you to dip your toe into the weird ML scene, because it happens to be a blast nowadays.
privacy redirect is a browser extension that can automatically redirect twitter links to the nitter instance of your choice. it also handles youtube->invidious, instagram->bibliogram, reddit->teddit, and more
I am of the surprisingly-controversial opinion that ML’s future is going to be as a human empowerment tool — a bicycle for the mind, yet so much more. Listen to how cool my gamedev music sounds: https://soundcloud.com/theshawwn/sets/ai-generated-videogame...
I feel comfortable saying that it’s awesome and being immodest, because I didn’t write it! None of those notes are mine. “Crossing the Channel” has one of the strangest tempos I’ve heard, yet it sounds so cool because I think the model made a mistake early on, and decided it wasn’t a mistake — instead, it came up with the most likely not-mistake it could think of, and it happened to sound great.
But I “wrote” all ~20 songs on that list in one night. Took about six hours, aka a standard workday. I don’t think it’s production-grade music - far from it - but it also wasn’t a production grade model. (On the other hand, it was trained by gwern, so I’m skeptical the production models of the future will capture all the little magic that he seems to imbue into his.)
I chose the instruments, I decided what sounded good, but I didn’t write a single note. It felt a lot like listening to someone jam out, and asking them to play different things. I was just the fella who was there to listen.
That’s where ML is going to shine. The future is going to be so exciting with the things you’ll be able to do.
But not in the current direction, I think. Currently, the goal is to factor the human out of the equation entirely. So the answer to your question is: even if the AI has “advanced”, its only because they added this case to the training set. If a human was at the helm, they would have annihilated you, because they’d see what you were doing and pilot the AI over to you.
I am skeptical this case is solvable, in a fully automatic way. IMO human empowerment will happen by arming actual humans with these models. (Depressingly, “arming” might have a few meanings depending on how AI war turns out, but that’s a different conversation.)
I agree with the fact that it's very unlikely that I can develop a mechanical system that would beat algorithmic trading. The good news is that I don't have to. That's why I'm a discretionary swing trader. In my personal case, trading is about learning how to fish. Learning a non computer skill that I can use for the rest of my life.
Even if it sounds cruel. With enough time and hard work, you can train yourself to detect the pigs getting slaughtered by the professional traders and take a bite of the action. That's what swing trading is all about.
That being said, it's far from easy. It requires a lot of hard work and determination. Reading books is a good start. The book "Trading Your Way to Financial Freedom" by Dr. Van K. Tharp is required for any modern day trader. The most important lesson from the book is probably that you have to always go into a trade knowing how much you are willing to loose on that trade. Using a stop and respecting it should be deeply engraved into your DNA.
But reading books is not enough. Getting a proper trading education is important. The average trading course will cost you anywhere from $2,000 to $5,000. With so many get-rich-quick schemes on the Internet is hard to find a serious an respected trading education program. They are out there. A good place to start would be Trader Planet. They have a list of the Top Trading Schools.
Why pay so much for a trading course? Because in the long term it will save you time and money. In the book "How I made $2,000,000 in the Stock Market" by Nicolas Darvas. The author spent many years of failure paying tuition to the markets until he found his way. Many people read this book and get fascinated by the big number. The fascinating part about the book is that in the 1940s and 1950s this guy created his own form of pseudo technical analysis. That system is what made him the $2,000,000. He spent a lot of time an money developing the system and eventually worked out for him. Keep in mind that Moving Averages started to get used in trading in the 1960s (If I'm not mistaken).
The moral of the story is that spending $2,000 or $3,000 in advance for a proper trading education will save you a lot of time and money.
People with little or no trading experience should not be developing mechanical systems and use them to risk real money. Wanna do it for educational purposes, sure go ahead, but don't risk any money. That shouldn't stop you from diving into the markets though. Once the market bug bites you there's no turning back. You just have to do it the old fashion way. In my case, by reading charts. As a software developer I think technical analysis is the only way to study the markets because that's how my brain is wired.
> The seeds were planted when DuPont researchers found that thicker membranes were actually proving to be more permeable. This came as a surprise because the conventional knowledge was that thickness reduces how much water could flow through the membranes.
It's amazing how often "how it works" is taken for granted. This reminds me of the trend of racing bicycle tires. It used to be "obvious" that you wanted to run a skinny narrow tire at high pressure, for better aerodynamic and rolling efficiency. Even when they started wind tunnel (for tires and wheels) and rolling resistance testing, it was done on steel rollers, not on actual road surfaces. It was assumed that rough roads caused efficiency losses primarily in tire flex (heat), so it made sense to keep pressures high.
In the past decade or so, there's been a radical shift towards wider tires and wheels. There are a lot of people riding/racing on 28-32mm wide tires where you would have been laughed at a decade ago, and told to go back to the "efficient" 23mm wide tires. 10-15 years ago, you'd want to be running 120psi on a 23mm wide tire and today you want to run your tire pressure as LOW as possible, and run a wider tire to compensate, to give more air volume to spread the load and bumps across. The rolling resistance is LOWER, because they've found that the energy losses from rough roads or from bumps is in the tremendous amount of energy expended to move the 150-200lbs of "unsuspended" rider and bicycle up and down rapidly. You're losing single-digit watts in rolling resistance on that lower pressure tire, but saving tens or hundreds of watts in energy that would be lost moving the rider's mass up and down.
I'm not kidding about the "laughed at" part, either. I'm looking up how wide a tire I can fit on my 12 year old road bike, and there are plenty of downright ABUSIVE forum posts from just 6 or 8 years ago, telling people to go buy a mountain bike if they want to run wider than 25mm tires on my particular bicycle, where I'm trying to fit a 28 and would really like to run a 32 if possible.
And a lot of these findings started off as "huh, that's weird" when testing newer wheel shapes in the real world.
It seems that microbiome research is always defended here. Perhaps it is scientific, but be aware that a multi billion dollar industry depends on "improving" the microbiome.
If you're serious about using a VPN, I strongly recommend getting an OpenWRT capable router and setting up your VPN there. Some benefits:
- It's physically impossible for your devices to bypass the VPN.
- It also works with devices that have poor or non existent VPN support (e.g. Roku, smart TV, etc.).
- You only have to configure it once vs having to configure it on all your devices.
- You can easily and quickly toggle the VPN by switching to a Wifi that doesn't have VPN setup.
I've been using GL.iNet's travel routers for many years and can't recommend enough (no affiliation other than being a customer). Just ordered their new Beryl router[0].
I do enjoy Khalid's explanations, and I applaud anyone who is exploring different mediums and methods to help improve education, especially around Mathematics and Computing (my areas of interest).
> Imagine, a few years down the line, applying these principles to maintaining an edible polyculture ecosystem-farm. Not necessarily a big machine going through a flat field, but small drones tending to trees, vines, herbs, plants, pollinators and water features all in the location that is best for them based on local features. It could micromanage weeding and harvesting, but also composting, planting, grafting and nurturing keystone species and rare species while avoiding pesticide, nitrogen imbalance and soil compaction. A productive farm could look like the garden of Eden.