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hagope

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Dukie, techie, living in Silicon Valley.

@hagope

http://www.linkedin.com/in/omar3

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this is great, I've always wanted something like this, do you think you can add other model metadata, like api name (`gemini-2.5-pro`), context length, modalities, etc

I used to be excited about running models locally (LLM, stable diffusion etc) on my Mac, PC, etc. But now I have resigned to the fact that most useful AI compute will mostly be in the cloud. Sure, I can run some slow Llama3 models on my home network, but why bother when it is so cheap or free to run it on a cloud service? I know Apple is pushing local AI models; however, I have serious reservations about the impact on battery performance.

Coursera has great content from Industry partners (Google Cloud, Amazon AWS, IBM etc) that teach everything you need to know for hacking in cloud. These skills are not widely taught in University, but skills are highly valued in the Tech industry. Three specializations (a collection of courses) that are hands-on and I would highly recommend 1.) https://www.coursera.org/specializations/aws-fundamentals 2.) https://www.coursera.org/specializations/gcp-data-machine-le... 3.) Anything from deeplearning.ai [disclosure: I work at Coursera]

Omar from Coursera. Our mission is to educate and reach as many people as possible. We are hiring across several different job roles mainly in Engineering and Data. Our main offices are in Mountain View, CA (HQ) and Toronto, Canada. Also, there are many non-technical roles and international locations including NYC, London and Abu Dhabi. Please reach out if you have any questions! https://jobs.lever.co/coursera?lever-via=-kpP7dimO_

Is this an accurate representation of comp? For the equity portion, for example if the value is calculated at 2018 peak stock market levels (RSU are granted in # of shares, not value of shares) then shouldn't all the equity values be discounted by the 10-20% drop in FANG stock values?

Exactly, I drive past this barrier every day...the problem is the left two lanes on 101 are carpool/EV lane so Tesla drivers just zoom down it...at this particular exit, the left carpool lane leads to an HOV flyover exit which puts you on 85. If you are not paying attention (ie on autopilot flying past traffic), you will end up on a completely different highway! I see people very frequently swerve out of the flyover lane back on to 101 very often, so my initial thought was that he tried to disengage too late to either get back on 101 or the catch the flyover (not clear which one).

Mine does too, I'm on the phone with Verizon ordering a replacement. My problem, the audio just went out all of a sudden with a pop when I was on a call. Now none of the audio works. I started with Support on Google, they were good, then I transferred to Verizon, they were good too.

Eat My Dust founder here. The mission statement for our company is to enable everyone to live and work in a clean and healthy environment. At first, we'll start by sampling dust from your environment and based on our analysis provide a health report and alert you to any potentially dangerous materials (and what to do about it). As we grow, we'd like to drive the price of these tests to near 0. If we are successful, we may not even need to do a test, but rather we can predict your environment based on several features that prove to be predictive across the data set.

We are still validating the idea at this point. If awarded the YC fellowship, we'd use the funds to test the market for this service. The goal is to collect data on what type of customers would use this service, what problems this would solve for them, what is total addressable market size, etc. For example, if we can acquire 100 paying customers who would be willing to pay $20 for an "Eat My Dust" report, we may end up spending $200 per customer to provide the service. However, at the end of this exercise we'd know whether or not this an idea worth pursuing further.