Readit NewsI’ve been thinking lately that email is a good interface for certain modes of AI assistant interaction, namely “research” tasks that are asynchronous and take a relatively long time. Email is universal, asynchronous, uses open standards, supports structured metadata, etc.
I'm building something similar. See my comment the OP above:
This made me think: what if my little utility assistant program that I have, similar to your Stevens, had access to a mailbox?
I've got a little utility program that I can tell to get the weather or run common commands unique to my system. It's handy, and I can even cron it to run things regularly, if I'd like.
If it had its own email box, I can send it information, it could use AI to parse that info, and possibly send email back, or a new message. Now, I've got something really useful. It would parse the email, add it to whatever internal store it has, and delete the message, without screwing up my own email box.
Thanks for the insight.
I'm building something similar and related to the other comments below! It's not production ready but it will hopefully be in a couple of weeks. You guys can sign up for free and I will upgrade you to the premium tier manually (premium cannot be bought yet anyway) in exchange for some feedback:
sci_prog commented on New tools for building agents openai.com/index/new-tool... · Posted by u/meetpateltech
Does the SDK allow executing Python code generated in some sort of sandbox? If not are there any open source library which does this for us?
I would ideally like the state of the code executed, including return values, available for the entire chat session, like IPython, so that subsequent LLM generated code can use them.
Yeah, OpenInterpreter does this (you are not limited to OpenAI only):
https://github.com/OpenInterpreter/open-interpreter
I wrote a wrapper around it that works in a web browser (you'll need an OpenAI API key): https://github.com/uhsealevelcenter/IDEA
sci_prog commented on In Colorado, a marriage of solar energy and farming ksjd.org/2024-12-31/in-co... · Posted by u/dr_dshiv
~400W/panel @ 20% efficiency is pretty much spot on for my home rooftop solar panel specs, so your math checks out there.
$0.02/kW does seem a bit low. Looking at my bill, it looks like I got paid ~$0.03/kW last month in California where my retail price is $0.17/kW off-peak. Looking at the current price charts for electricity, they're also currently ~$0.03/kW, so the numbers do check out since we're supposed to be paid the current wholesale price.
Electricity just doesn't cost all that much to generate, most of the cost comes from transmission and storage.
Thanks for sharing this! That was the exact info I was looking for, didn't know the wholesale price was so low. But it does make sense that transmission and storage is what is inflating the retail price.
sci_prog commented on In Colorado, a marriage of solar energy and farming ksjd.org/2024-12-31/in-co... · Posted by u/dr_dshiv
This is a cool concept and I love the idea but the math on the money earned from the 3276 solar panel doesn't add up. The article says the farm owner makes about $20,000 a year from the solar farm.
I'm assuming that each solar panel is 2 by 1 meter, which would mean that it produces about 400 watts (20% efficiency at 1000 watts per sq meter coming from the sun). You can use this calculator to estimate how power you can produce at the given location for a given system size in kilowatts: https://pvwatts.nrel.gov/pvwatts.php
The system above is 1310400 watts or ~1,310 kW, which according to the calculator produces about 2 million kWh/year.
If he makes $20,000 that would mean that he gets paid only $0.01 per kW of power. And even if my assumption above about the size of each individual panel is off by a factor of 2 and they are only 1 sq meter in size (which I think they are not because the article states that the solar farm can power about 300 average households, which require the annual power output to be more than what I estimated above) that would make $0.02 per kW of power. How is it possible that the amount earned per kW is so low when the utility companies in Colorado charge about $0.14 per kW (effective rate)? And who is actually the customer here and where is the money coming from? I'm just curious to learn more.
sci_prog commented on Diffusion for World Modeling diamond-wm.github.io/... · Posted by u/francoisfleuret
I noticed that all text looked garbled up when I had some lucid dreams. When diffusion models started to gain attention, I made the connection that text generated in generated images also looked garbled up.
Maybe all of those are clues that parts of the human subconscious mind operate pretty close to the principles behind diffusion models.
Also the AI generated images that can't get the fingers right. Have you ever tried to look at your hands while lucid dreaming and try counting fingers? There are some really interesting parallels between the dreams and diffusion models.
https://threadwise.app
You can email prompts directly to your ThreadWise address and get instant AI-powered responses, essentially an always available co-worker. Another great feature is the ability to schedule recurring tasks and since the AI has web access, you can get things like:
Daily mortgage rates or airfare price monitoring
Weather and news summaries
Sport scores, jokes, quote of the day
Pull data from public APIs (and more)
So you can essentially use it as a personal newsletter, crafted to your taste.
The free tier will let you test this out for free! I am looking for some feedback/criticism, testing, and additional ideas and I am open for collaboration if you have experience with sales. Also open to hearing which scheduled tasks people would find most useful.
Why I built it: I noticed a trend online, as well as with family/friends, that people would like to have a quick access to AI in instances where they couldn't always install apps or use browser-based tools (such as in remote/low bandwidth environments). This is when it him me, email clients already have all the features needed to interact with an AI (text + attachments) and I quickly got to work.
Some of the advantages are also that since there are no new apps, or browser tabs needed, the tool is ideal for companies who don't have the bandwidth to setup full fledged AI solutions on their own. The companies can choose either between public LLMs (e.g. OpenAI) or host everything on-premise with locally run models, so no data ever leaves the premises.
Eager to hear what you all think!