sumoboy

What has apple really lost not investing billions in AI? IMO nothing. At any point they could just buy or partner with any missing piece. Google is the safe bet for Siri but this could be any number of providers in the future at which one of them might even pay apple like google does for search in safari. Apple needs to tackle component costs to increase revenue, especially memory which they have to start thinking about their own fab long term.

Is it really a shortage of chips and not datacenters? Nobody seems to accurately know this fact, just semiconductor companies saying were at future capacity for years.

Google says 1 million blackwell gpus are being delivered monthly I'm really curious if it's companies just hoarding chips/memory/servers awaiting to be deployed in data centers not ready yet for months or years, or everything built is actually deployed upon delivery. Plus google and amazon have there own chips in the mix.

Landscape companies know time is everything especially when a commercial mower can go 6-10 mph. Every turn slows you down when your flying.

Some brilliant marketing really, the grandma test.

He forgot to mention we'll need 1000 more data centers and 3000 new prisons to manage the chaos. So confused by this billionaire behavior with wanting to control society.

I think Google is a bit sandbagging here knowing they have all the data and likely better models hiding. My theory is it's a bit of not disrupting the stock market direction by exposing whose really the boss. If they can do it cheaper, faster, and better, people start asking questions, especially with upcoming IPO's.

Nobody getting gas at Costco cares.

Why is that AI was supposed to help juniors shine, because plenty of so called "senior devs" have never really learned properly, bad habits, or lack technical breadth to be called that. This article is nothing more than what everyone else has been saying for two years, poorly at best. AI + coding has yet to hit it's stride and at some point highly specific LLM's will take into account of architecture, patterns, use-cases, compute environments, network, dev ops, testing, and coding to further equalize and close the gaps between the two roles. I've talked to seniors devs many are not interested in AI coding, just not the way they do things.

The only real advantage a senior dev has today is domain knowledge specific to a business in many cases. Even that is not much to hold on to because when layoffs come if nobody is hiring jr's then the seniors are getting axed.

You also risk senior talent who stay but doesn't want to change or adopt, at least with any urgency. AI will accelerate that journey of discovery and learning, so juniors are going to learn super fast.

I think it's a combination of both, the LLM's today for coding are just average containing a lot of pre-2024 knowledge. The vibe tools are getting around some of the shortcomings and increased token limits which is great, but up to date current knowledge can't rely on llm.txt doc updates as context and expect reasonable code generation. Give me some monthly updated topic related LLM's to use (coding, content writing, history), I don't need the entire world all the time.

Like a new diet every week, not everyone is losing weight. Great for snippets, suggestions, and helping with errors. But a long ways to go before it's more consistent and commonly used.

not the results I expected with the query "80+", "80+ Gold" worked better.

I thought that was IBM, so confusing anymore.

Pretty easy to filter out a majority of devs who don't know much including juniors before hiring. Not knowing stackflow doesn't mean much, but then again professors think that's cheating so why should they reference it. No reason to trash jr devs, they don't know what they don't know because colleges ignore what they need in preparation for real world interviews and readable resumes.