This is all great advice especially at the 101 level. At the 201 level, you can start to skip a lot of these formalities by straightening out the information asymmetry and really having a crisp position on the value exchange.
- Your #1 goal should actually be knowing the top of the range of what this role is worth in the market. Once you figure that out, the whole "don't say the first number" rule is BS. Set expectations at the high water mark and then your job isn't to negotiate on salary; it's to negotiate if you're worth it
- Now that you know the maximum price this role (or product, or service -- it's all the same!) can be set to, you need to convince the other side that you deliver the requisite amount of value to justify the price. Like the article said, talk about your impact. Your BATNA. Your opportunity cost. All of these things are real and support why you are worth it
Once you transition from negotiating on price alone to negotiating ROI, everything changes. Try your best to solve the asymmetry, set the price and move on, find your leverage, and then make a compelling case. That's how you win
Perfectly said on both counts. Rents, unlike broker fees, are highly transparent prices that are far more influenced by market pressure and competition, a win for buyers in a market already very lopsided toward sellers. Because broker fees are disclosed selectively and later in the purchase funnel, buyers (renters) often make less optimal and more expensive choices due to that information asymmetry.
There definitely will be a small spike in the cost of rentals, but 1) it will definitely not be a perfect 12-15% transfer from what the fee costs, and 2) I predict that downward price pressure will bring rental costs around what they are now, especially given the prevalence of no fee units. The cost will likely just cut into landlords' revenue, and anyone claiming prices will rise substantially are probably lobbying on behalf of landlords.
Whatever lecture this came from needs to get a reality check -- "downward price pressure" on rental units in most of the USA was slowly disappearing until the COVID-19 lockdown, at which time the prices increased dramatically, across the board, in all markets (except maybe the Ohio valley? Mississippi ?). Secondly, AirBnB gave reliable revenue streams to property owners, across the western world, keeping units empty. Third, local government has converged on artificial constraint of construction in many markets.
In NYC, rents went way down, to the point where there was a sticker shock from people who moved to NY during Covid and were shocked when prices went back up a year or two later.
ok, I checked .. this article [0] says that rents in 2020 went back to 2011 prices.. new to me, so yes, I could write more carefully.. my mistake. Overall, I don't retract it.. rental prices are steeply greater now than 2020 AFAIK
NYC during covid was crazy. Buildings were offering 12 month leases with 4 months free. So when things normalized in 2021/22 people were facing 33% rent increases and then the pace of the increases basically never slowed down until this year.
Which makes sense if you look at demand. We went from people will never live in cities again at the height of covid, to things like revenge travel and everyone wanting to give big cities a try now that prices were briefly down.
Yeah I got 3 months free to stay in my tiny Gowanus apartment. It ended up saving us enough to get us over the line on a down payment on a house later. It was a really fortunate turn in an otherwise miserable year.
This behavior is extremely frustrating. I have a pair that only supports one device, and on the occasion that I connect them to my MacBook and forget to unpair or turn off Bluetooth afterward, they will permanently be usurped by Apple Music -- computer awake or asleep -- and my phone never stands a chance.
I actually think Apple is the reason why newer headphones are starting to support two devices. Apple makes a decision for themselves and it forces entire industries to move that direction. As someone who hates the Apple approach (please give me the Woz machine: more ports, more open, more hackable, more mine), it is painful to watch. Yes I'm still bitter about headphone jacks :-D
What if you have a personal MacBook *and* a professional MacBook? Well they occupy the two available seats from the “multi-point” system of the Bose QuietComfort 45 and my issue is not solved.
Same story as a lot of people here. I got Lyme when I was in my early twenties. I had no bullseye rash and no evidence of a tick bite. And I lived in California which made it even more confusing.
Woke up one day with debilitating headaches (I never got headaches normally). Lasted for two weeks, doctor said I had "viral meningitis" which should clear up on its own. Coincidentally they did, and thought all is well!
Next week my elbow hurts. Then my pinky. Then my foot. Then my neck. Every day it would be a new obscure part of my body, until a month in I was in so much pain I could barely walk. For someone in their early 20s, this was debilitating.
The doctor comedy of errors continued. They said I had juvenile arthritis, which is a common misdiagnosis and an insane one considering how acutely this came on. She prescribed me steroids but I declined because I didn't trust her diagnosis (fun fact I learned later: steroids make Lyme worse and harder to treat). I got referred to a rheumatologist who likely would have continued down the same short-sighted path, but thanks to a modern medical miracle -- no appointments available for 6 months (!), that didn't happen either.
I was losing patience and time, so I started researching everything I could. I forced the doctor to run blood tests for everything possible, including Lyme, Rocky Mountain spotted fever, everything. She almost refused to give me the tests because "that's impossible! you've never had the bullseye and there are no ticks in California!" She even accidentally left the Lyme test off my lab sheet (??) which I only caught when I double checked the paperwork with a lab tech.
I was starting to lose hope thinking being nearly paralyzed would be the rest of my life.
And then the western blot came back positive.
48 hours on doxycycline and EVERYTHING disappeared. Over 3 months of debilitating pain, and all I needed was a pill of the most common antibiotic out there. Just wow.
I had to follow up with the CDC and an infectious disease specialist. So how did I get bit by a tick all the way in California? Turns out, I went camping near Boston a week before this all happened. I told the whole story to the infectious disease doctor (who grew up in the northern Midwest). His response?
"Classic Lyme"
Get tested for Lyme y'all. It's one of the most misdiagnosed infections out there. And if you have all the symptoms but test is negative and have been in nature, just take doxycycline. Not worth risking your life.
Thank you for sharing your experience. I wonder if there's a course for non-medical professionals about common symptoms and what to look out for. My high school didn't offer one.
Yep that was one of my justifications for wanting to get a Lyme test. Their response: "well you never had a rash and don't remember being bitten by a tick so that sounds impossible"
Unless existing physicians' associations put up a fight, which they absolutely will, AI replacing the diagnosis aspect of a PCP is both probably one of the best applications of LLMs possible and one of the biggest impacts they can make for humanity.
PCPs are notorious for misdiagnoses, they're expensive, hasty, often times don't believe or listen to patients, and frequently just don't have all the data. This isn't necessarily their fault -- they're overworked and the medical industry isn't making things better -- but the reality is primariy care isn't working very well right now even in developed countries. Imagine in developing ones...
Diagnosing a patient is in many ways an expert system problem which computers are excellent at. Amassing the data from every medical textbook ever written, plus every study ever done, plus clinical conversations with patients and their medical history (the hardest part), and you have the best PCP ever made. Add a nurse to manage the physicality of it and one day connect data to the system to track lifestyle behaviors, sleep, and things people won't necessarily self-report, and you have something revolutionary. And AI is kinder and more compassionate, as the article said.
No wonder people have been trying to crack this nut for decades (albeit with minimal success). I hope the LLM revolution helps make another big round of progress.
> Diagnosing a patient is in many ways an expert system problem which computers are excellent at.
I'm admittedly not a doctor, but this doesn't really match my understanding at all–after my dad got sick a couple of years ago I developed a bit of a fascination with reading about the practice of medicine, which has largely changed my view from an engineer's perspective like this to one with much more nuance.
Diagnoses in general are not nearly as cut and dry as people would like to believe, and getting to them is not often as simple as being a function of X symptom and Y test result. Patients are often vague or simply not equipped to provide a perfect history, tests have ranges and associated error, as well as risks of their own, treatments have risks themselves that may interplay with myriad other life factors. In many situations there may not be a definitive diagnosis to be had at all.
I fully agree, it's a jungle out there with contradicting or outdated studies and and and. Humans aren't that perfect either though. Personal knowledge can get outdated too and not all keep themselves up to speed. A less that ideal test result can trigger a different test or can get dismissed as "not so bad". Correlations can go unnoticed. An annoying personality might get invited less often for checks. So really, there are some aspects where AI can increase the quality of the medical act. Indeed we are far from replacing it so I won't even bother thinking about it right now, I mean me as a patient. But extra help? Please bring more.
Wasn't medical diagnosis also a goal of IBM Watson? I was honestly hoping to see real applications for that system but in the end it seems all we got was a robot that was pretty good at Jeopardy.
LLMs came some years after Watson- GPT 1 came out in 2018 (and was completely useless towards this goal), and Watson was developed mostly between 2005 and 2013
Ok, I suppose they might still have used the idea of a language model (LM) which has existed for much longer (Wikipedia says 1980). But the only difference would then be the use of transformers, which I understand is what the "L(arge)" refers to.
Side note. The terminology seems a bit confusing. Wikipedia says "LLMs are artificial neural networks following a transformer architecture." It's a bit strange to call it LLM then and not "Transformer-LM", imho.
If you take a dense (fully connected) neural network and take away edges, you can end up at the transformer architecture. Perhaps IBM just used fully connected networks and an insane amount of computational power and used the transformers without even knowing it (?)
I've had some discussions about AI in healthcare with a friend who is a MD and my interpretation of that is that initial face to face/spoken diagnosis is far from the bottle neck of healthcare. Rather the issue is that it is kind of always possible to find more things to work on. More potential cancers or various ailments. And the issue is that all the care that comes after that stage is what costs money and need to be prioritized. Though I expect the exact way how that prioritization works can differ quite a lot between different systems.
The point here being that adding AI diagnostics might improve on the quality of diagnosis but it might also potentially derail healthcare to some degree if the AI system doesn't question weather an investigation or treatment is actually worth it and should be prioritized. Then again, it might also be possible to make it prioritize more consistently and fairly...
AI 2.0 combined with the insane number of health markers Apple Watches and the like can collect will definitely hit GPs hard since preventative care is one of the main things they do afaik.
Imagine never needing to take another blood test again or getting early warnings for potential cancer that would have cost thousands to obtain before...
We're hiring a mid-level to senior engineer to join our exciting team at Credit Karma! We're a high-growth team responsible for some of our business-critical experiences. Stack includes Scala, TypeScript, React, Google Cloud and more.
We're flexible on skill level and have great mentorship programs, and welcome people from all backgrounds to join a collaborative, fun environment. Position is on-site in Charlotte, North Carolina so must be open to relo. Compensation is highly competitive.
Email [email protected] with a resume and a short blurb about what you're looking forward to in your next role.
Well done with getting that ___domain name, but you may be in a world of trouble with trademark infringement with OpenAI. To the point where they actually may have an argument to seize the ___domain:
Credit Karma | Senior Data or Software Engineer | Charlotte, NC (onsite)
We're hiring a Senior Data Engineer, or a Senior Software Engineer who likes data!
Credit Karma is the largest consumer lending marketplace in the US. We work on a ton of interesting and massive data problems, including ingestion of credit bureau and third party data for over 100 million people.
Technologies: Scala, BigQuery, Apache Spark, and more
Our team is awesome and I mean that -- exceptional pay, great work-life balance, talented coworkers, diverse team, and much more.
If you're looking for a great, long-term opportunity with a ton of growth, this is for you.
Email me if you're interested, even if you just want to learn more about the role and Credit Karma: matt.hubert @ our ___domain name.
This role is for Charlotte, North Carolina. Actual days in office are flexible. Generous relo packages provided.
Credit Karma | Full-stack Engineers | San Francisco / Oakland, Charlotte | ONSITE
Come join Lightbox Labs! I'm hiring for our exciting new product dev team inside Credit Karma. We're a close-knit team of extremely talented full-stack engineers and product leaders who have the autonomy to build whatever will make a difference in our partners' and members' lives.
Scala, TypeScript, Python, Docker, Terraform, GCP, data pipelines, ML, AI, and more. Our platform runs machine learning models in isolated execution environments in real-time for the largest financial institutions in the world. It's pretty cool.
I'm looking for smart, helpful people who care a lot and love building products with interesting people and technology.
Credit Karma is an amazing place to work with VERY competitive compensation + benefits and an exceptional startup culture.
Trust me, you'll love working here.
Email me at matt.hubert at our ___domain name to chat.
- Your #1 goal should actually be knowing the top of the range of what this role is worth in the market. Once you figure that out, the whole "don't say the first number" rule is BS. Set expectations at the high water mark and then your job isn't to negotiate on salary; it's to negotiate if you're worth it
- Now that you know the maximum price this role (or product, or service -- it's all the same!) can be set to, you need to convince the other side that you deliver the requisite amount of value to justify the price. Like the article said, talk about your impact. Your BATNA. Your opportunity cost. All of these things are real and support why you are worth it
Once you transition from negotiating on price alone to negotiating ROI, everything changes. Try your best to solve the asymmetry, set the price and move on, find your leverage, and then make a compelling case. That's how you win