I mean in theory couldn’t anyone close to the news source transmit it somehow via an anonymous communication channel to someone else so they can make the trade. Even if there is an investigation they have to find the proof to make a conviction right?
self fulfilling prophecy though, because the people who worked at Google but don't tell you about it, won't tell you about it, so you don't know they did so you're only going to hear about it from the ones you hear about it from
To pick a different topic, I know a couple of vegans. Some of them are militant about it, others simply are not. You'd never know that about them unless it really came up.
"You don't need to ask, they'll tell you" - a claim that the people who work there will brag about it.
And while there may be some truth to it, keep in mind that you hear about the ones that will tell you, you don't hear about most of the ones that don't.
Move on, you’re not married. If You can’t align on how to vet the problem then you can’t align on the dozen other things you need alignment on. Cut your losses and move. It’s not failure it’s pivoting. Take the learning and move on, and make sure you vet your next cofounder throughly along what you learned from this experience. I will say, she wants to work on something that she has data she can sell. Selling, users, and traction will make the fundraise much easier. So try and see where she is coming from. But it sounds like at this point better to go your own way.
I will say, now after 15 years messing with this. With LLM I just do it all in Python. But, I still miss the elegance and simplicity of R for data manipulation and analysis. Especially the dplyr semantics. They really nailed it. I think they got crushed by the namespace / import system. There’s something about R that makes you so fluid and intuitive. But the engineering, the efficiency, I get with Python now, I can’t go back.
Funny you mention namespacing: R 4.5.0 was just released today with the new `use()` function, which allows you import just what you need instead of clobbering your global namespace, equivalent to python’s `from x import y` syntax.
I agree with all your comment… except the very last bit. Do you really find python to be more efficient at engineering stuff than R? And especially speed, which in my experience at least is broadly the same if not faster with R because it interages easier with Rust and C++?
Not OP, but i think python is very far above R for engineering stuff. I built my early career on R and ran R user groups. R is great for one-off analyses, or low-volume controlled repetition like running the same report with new inputs.
For engineering stuff i want strong static analysis (type hints, pydantic, mypy), observability (logfire, structlog), and support (can i upload a package to my cloud package registry?).
For ML stuff, i want the libraries everyone else uses (pytorch, huggingface) because popularity brings a lot of development and documentation and obscure github issues the R clones lack.
Userbase matters. In R, hardly any users are doing any engineering; most R code only needs to run successfully one time. The ecosystem reflects that. The python-based ML world has the same problem, but the broader sea of python engineers helps counterbalance.
On further reflection I think the sweet spot for R for me
Has always been prototyping and exploration. Where you don’t exactly know what the logic needs to be, or how the data needs to be cut to get at what you want. So that rapid type of exploration R is really really good at. Closer to math for me than software engineering. And if I had a job where I could just do that all day I’d be pretty happy at this point in my life. and you can’t use a pivot table Google sheets or excel to get at the cut you want or the logic is too complex to do in Google sheets. So for that sweet spot, which is still a broad niche, R is excellent and shines.
Everything I need can get done in python, so I don’t even need to deal with rust and cpp. Adding language interop between r and cpp is now just another thing on my plate, so just stick to Python and pay the cost of less elegant code for data manipulation which I am okay with because now I just need to read it and not write it.
There’s a ton more python code out there so the LLM reliability in python code just makes my life easier. R was great and still is, but my world is now more than just data eng, model fitting, and viz. I have to deal with operationalizing and working with people who aren’t just data science and most org don’t have the luxury of having an easy production R system so I can get my python code over the line and trust a good engineer will be okay smeshing that into the production stack which is likely heavy Python. (Instead of saying oh we don’t work with R we do Python Java so it will take 3-5x longer).
Another sad truth is the cool ml kids all want to do pytorch deep ML training / post training / rlhf / ppo / gdpr gtfo so you are not real hardcore ml if you only do R. I know it’s stupid but the world is kind of like that.
You want to hire people who want to build their careers on the cool stack. I know it’s not all the cool talk the hackers here play with but for real world application I have a lot of other considerations.
Wow this is what put food on the table for us as a kid. Respect to VAX / VMS. I wonder if anyone remembers sperry univac digital burrows etc tech co of yore. It gave me a childhood in America, so however old or obsolete it may be I have a fond place for it.
What most people don’t see is that we are basically under “shadow austerity” to correct for the not so hyperinflation we saw post COVID.
It is a combination of post WW2 Britain (China is the US in that analogy) - this helps to explain the Canada and Greenland issue; and Volcker era stagflation economics. It will not get any better in the short term, but there is likely to be substantial growth in the long term as a result.
What that means is the fed likely won’t reduce rates, and it may reduce its rate decrease to 1 this year, if even that. It is entirely possible the rate doesn’t come down at all.
Expect Layoffs to come, as the fed doesn’t seem to care about unemployment as its target is on inflation. Many zirp era businesses and funds will fail. Less cereal and eggs for the same dollar.
I am really hoping we don’t start to de-anchor from 2% inflation as a result of all this. I wonder how various US infrastructure projects can and will be financed. Reduction in entitlements. Possibly some type of mandate to hold treasuries.
Try and work it out. Walking away is the easy path and always there. See if there is someone you both respect who can mediate the disagreement. See if you can timebox the other partners idea to see if it will pan out. See if you are both willing to listen to the data to point you both toward the right direction. If you have that much money coming in already and the market is big enough, see if you can get to profitability and at least be default alive so that you can sustain these endeavors in the long run in case the other guys idea doesn’t pan out.
