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.

I'm sure that's happening right now. On the flipside will companies who hire in 4 years look at those CS/SWE kids as lessor skilled devs because they relied so much on AI to pass classes and didn't really learn?

I don't think companies realize AI is not free. A 100+ devs, openai, anthropic, gemini API costs, the hidden overhead of costs not spoken about.

Too much speculation that productivity will increase substantially, especially when a majority of companies IT is just so broken and archaic.

Why you see a 1000 jobs applications submitted in less than a day for a single software eng. job.

Canon loves feature cripple but don't worry they'll incrementally add those features back on that next 4 year cycle. I've had the R5ii for a few days and would definitely use Topaz gigapixel if enlarging was needed.

Huge gap for building self service tools/dashboards for execs, just no sense of the schema and data to make them sql writers which you don't want. When metabase showed a version last year with AI, you could see right away without some knowledge of the data model your just grasping at writing the correct prompt.

A huge costly mistake for Sprint trying to grow subscribers. Nextel's network was incompatible with Sprints, just a ton of business and technical issues. Sprint was always trying to be on the forefront of technology whether wireless or fiber. They spent a ton money on a project called ION that was last mile fiber to businesses, ahead of there time but a ton of costs actually laying down fiber doomed it. Poor timing for a lot of ideas and projects I saw. Source: ex-sprint emp.

History repeats like the old seo directories such as dmoz, mods just on these power trips where common sense doesn't apply.

Pricing is just out of whack regardless. Definitely a need for these tools but community adoption is pretty important.

Buy an external usb drive, 1 or 2 bays with a 16 to 22tb drives and consolidate everything. Use backblaze for unlimited storage. If really only have around 6tb of actual data, a 2 bay external drive mirrored will be sufficient.

We ran into the same exact issue with Superset not being intuitive, just for a different audience that is more technical. Also went with Metabase which is good, easy to use, lacks some a few chart types but overall the past year has seen quite a few changes and bug fixes consistently happening.

Just don't use any plastic parts, over-engineer the whole thing internally, no wifi, just a dial for temp and lever to engage. All these fancy toasters still can't toast bread.

Many car brands have cult like followers who are insanely loyal to supporting. Some of these brands like Porsche, BMW, Corvettes, and Mustangs have a long history cars that people will spend insane amount of money to buy new or restore old. The 911 if you've never drove one is just simply a fun car to drive anywhere but one could pull up to a race track for a few laps and it's a very capable car.

Porsche is really good at marketing over the past 20+ years producing limited editions of car driving up the value. The sport model here is just that with dealers adding $100k to $200k additional markup fees because the numbers produced are so low, more demand than supply. The 911 is a great car to drive, fairly reliable as a daily driver and very popular with c-level buyers. On the track it's benchmark which many compare themselves so while this sport model is more than capable for 99%, the Porsche GT3 and GT3RS models are even more expensive with bigger performance upgrades. Porsche has zero problems selling these cars as fast as they can make them.

Same developer who has offers a form validator, very solid and was worth the $ for past projects. Nice list of JS snippets.

Newspapers charge a fortune for an obit, nothing is free.

I've seen even transactional email providers like sendgrid block that verizon email, tough to trust.