MisterPea
Only reason to buy this if you want to own your compute.
Experimentation and inference are all going to be cheaper on the cloud
256GB model is $10k and the 512GB version will probably be double
There's a lot of consumer surplus with the features GitHub offers. I'm sure they can have better pricing tiers to capture the surplus without losing too many users.
I am also creating this and enjoyed the post and comments all going through the same thing :)
gemini-cli had it's own quota, antigravity had it's own quota, and ai studio had it's own free tier quota and I managed to make use of all of them super cheaply.
Now they're finally unifying everything and cutting down, which is less of a cognitive load to keep track of quotas but also fewer benefits
I mitigate it by creating dense planning docs for everything and executing iteratively.
Lot's of time wasted on procedure unfortunately
Stability is going to come at a large non-monetary premium these days
But jeez, is it buggy, slow and unintuitive at times.
Complete shift in google's old engineering culture of high quality - they seem to be shipping quickly in favor of stability
Silver lining of current RAM prices is that it changes the cost-benefit analysis of improving underlying software which (hopefully) gets implemented in open source.
I think I might try daily 10000IU after showing my doctor how little it's moving the needle for me
Either way, Google's transparency with this is very poor - I saw the limits from a VP's tweet
They lagged in AI, but the new Gemini 2.5 Pro is incredible. They built an incredible tool in NotebookLM but failed to market it
Small companies interests are aligned with Meta as they are now on an equal footing with large incumbent players. They can now compete with a similarly sized team at a big tech company instead of that team + dozens of AI scientists
The line connecting NorCal to SoCal is so much more productive that any other line being prioritized is crazy to me.
IMO more about growth of the engineering teams that lead to any specific culture deteriorating.
There was significant emphasis on code quality at least on the team I was on, and an ever improving culture.
I did work on one voyager task though and I remember it being a nightmare
I have little doubt Apple is going to be a major player in AI, especially in the non-Nvidia hardware space after playing around with MLX
One of my biggest gripes with academia. More and more are universities and those who run it act like private corporations than non-profit research institutions
Considering only the most dedicated users are going to pay for this, Meta is most likely losing money with Ad-Free version
Source: https://s21.q4cdn.com/399680738/files/doc_earnings/2023/q3/p...
Funnily enough, I would recommend AWS over GCP in every single category except for the two that you mentioned.
Although Snowflake is my choice for DW and it is cloud agnostic
Conversation probably started by Satya asking the LinkedIn CEO to just reduce X$ expenses and the LinkedIn leadership made these specific changes.
People think Zucc just acquired his way to the top when Meta has probably been the top 3, if not best, run company in the past decade.
Had Evan sold Snap to Facebook back in the day, I'm fairly confident it would be valued at least 10x what it is now.
Meta's open source play I think comes back to regaining public sentiment about them after scandals/metaverse, and also making it difficult for established competitors to have much moat.
Given how much Snap pays their employees it was probably the right call.
Will be interested to see down the line how any startups nowadays will fare with Meta.