what-the-grump

But thats not the reality of China right? People own cars, apartments, TVs, refrigerators, they are not distributed centrally.

Sure because you had to distribute sales and place product. You shifted marketing off to the retail location and distributor and you still controlled the price / mark up.

Pizza is already sold, the last mile delivery should have zero impact on its retail. Right now the last mile delivery has a near monopoly on retail of a restaurant. Pretending that toast/grubhub/seamless somehow benefit the customer is pure rubbish.

Because it decouples the restaurant from controlling the means of purchase and delivery and thereby creating a market on top of the restaurant.

You order on Uber Eats, Toast, Seamless, and they set the prices pushing them up.

It’s a completely parasitic market and if a restaurant does not participate it’s squeezed out due to not being able to compete with online ordering.

You notice how you can’t just order from xyzpizza.com and choose 1-7 vendors to deliver the pizza? They should class actioned into the depth of hell.

Imagine going to Nike.com, but Nike has to sell on the usp website at the ups price because they deliver the last mile package…

The average person in America is living paycheck to paycheck and has negative equity.

20 years ago you couldn’t see in Shanghai. Trump pulled back the clean air act, it’s not hard to see a trend. It’s also not hard to buy a ticket and see it yourself.

Please point to the active money in this economy?

The pension reallocations? Blackrock? Bitcoin?

There is a ton of money being siphoned off with zero place to put it. When sv collapsed why does Roku park half a billion dollars in a bank account. Roku has 8th of Mazda’s net worth parked in a bank account… there is unchecked capitalization for the sake of the share price, this money is doing nothing except buying up competition.

I think only time will tell? Let me flip this on it's head.

LLMs allow me to tackle stuff I have no business tackling because the support from the LLM for the task far exceeds google / stack overflow / [insert data source for industry or task].

Does the concept sink in? Yes and no, I am moving too fast most of the time to retain the solution.

When the task is complex enough and LLM gets it wrong, oh boy is it educational, not only do I have to figure out why the LLM is wrong, I have to now correct my understanding and learn to reason against it.

I was a very bad student, most of the classes didn't make sense to me, bored me out of my mind, I failed a lot. Do I ever feel that way when talking to Chatgpt about a task I have no idea how to solve? No, and guess what we figure it out together.

Another data point, my english writing has improved by using chatgpt to refactor / reformat, more examples, mostly correct english structure. Over time stuff sinks in even if you are not writing it, you are still reading it, and editing.

Lets take code for a minute, is it easier to edit someone else's code or your own? So everyone that has to dive deep into troubleshooting chatgpt's code is somehow dumb/lazy? I don't think so, they are at least as smart as the code.

What would happen if we made a curriculum around using chatgpt, how far would I get in chem 1 if I spent 90 minutes with chatgpt prompts prepared by a professor and a machine that never gets tired of explaining / rephrasing until I get it?

Many places? Lets see, chase bank has 5k locations in the US. I have 3 locations near me, and if I wanted to use something like on online bank like Betterment, I can go 30-40 locations immediately near me and they will cover the transaction fees...

The closest bitcoin ATM is 20 miles away from me in another town at a sketchy gas station. Let me just hop over and grab 3k out of it and get robbed.

Because Wi-Fi going down for a minute or two doesn’t matter in most deployments. And when it does… you submit a change ticket and not just Yoo-hoo a change in production.

Reading this thread I’ve been using unifi equipment for over a decade why are people tinkering with their networks on a daily basis?

I have more issues with enterprise equipment than with unifi equipment because it just works, and it’s 1/5th of the price, and I can buy a replacement the same day. My spf modules on junipers cost more than most of the products in the entire unifi catalog and can’t support being downlinked to 1GB on one port without the whole module being set 1gb and the entire core rebooted.

The amount of hate is simply unwarranted, people are afraid to patch enterprise switches because historically that meant driving out and a call with TAC, when did we start pretending that enterprise network equipment works flawlessly?

Because if it worked better then we’d be doing it already. But no amount of cryptobro podcasts are going to fix the shortcomings of digital currencies. And everyone knows this.

My dollar will be worth a dollar tomorrow and will sit in my wallet. My crypto currency is worthless on most of the planet. Do you take payments in LoL skins or vbucks?

Wait whats so confusing?

GPT3.5, 4.0, 4o, 4o-mini, 4.1 o3, 4,5?

I want to slap every person at OpenAI.

call freaking tuned models what they are, basic, advanced, coding, research, etc. etc. Slow, Fast. Like cmon.

I cannot reproduce this in any version of copilot?

Copilot with outlook.com

Copilot base one that comes with M365,

And the add-on one for 30$/mo.

Copilot in VS code

All produce: ffmpeg -i movie.mov -vcodec libx264 -crf 23 -preset medium -acodec aac -b:a 128k output.mp4

Which is not surprising because its just an Open AI 4o call... so how are you getting this?

xkcd 927, every single time

Without a single line of code or example. Help I’m drowning.

It’s plain bait and switch.

You paid a premium for promised X, specifically. Y showed up. This is the equivalent of buying a first class ticket, and getting put in economy.

Someone should class action this bs.

I’ve seen ChatGPT generate bad English and I’ve seen the layer or logic / UI re-render the page as I think there is a simple spell checker that kicks in and tells the api to re-render and recheck.

I don’t believe for one second that LLMs reason, understand, know, anything.

There are plenty of times LLMs fail to generate correct sentences, and plenty of times they fail to generate correct words.

Around the time ChatGPT rolled out web search inside actions, you’d get really funky stuff back and watch other code clearly try to catch the run away.

o3 can be hot garbage if you ask it expand a specific point inside a 3 paragraph memo, the reasoning models perform very, very poorly when they are not summarizing.

There are times where the thing works like magic, other times, asking it to write me a PowerShell script that gets users by first and last name has it inventing commands that flags that don’t exist.

If the model ‘understood’, ‘followed, some sort of structure outside parroting stuff it already knows about it would be easy to spot and guide it via prompts. That is not the case even with the most advanced models today.

It’s clear that LLMs work best at specific small tasks that have a well established pattern defined in a strict language or api.

I’ve broken o3 trying to have it lift working python code, into formal python code, how? The person that wrote the code didn’t exactly code it how a developer would code a program. 140 lines of basic grab some data generate a table broke the AI and it had the ‘informal’ solution in the prompt. So no there is zero chance LMMs do more than predict.

And to be clear, it one shot a whole thing for me last night, using the GitHub/Codex/agent thing in VS code, probably saved me 30 minutes but god forbid you start from a bad / edge / poorly structured thing that doesn’t fit the mould.

Pretending that the world is stable predictable and feeling in control while making fun of other people. Obviously.

I mean… we’ve data mined and extracted, and summarized, etc. etc. what’s impressive to me we can do this quickly.

Take each chunk extract key phrase, summarize, now for each chunk, or vector search, is the basis of every rag chatbot built in the last 2-3 years.

Know plenty of communities that abuse social security benefits, is it worth fixing? I’m fortunate enough to pay the median house hold income in just taxes to the government. Take my money, no.

These are poor people struggling to get by, they are going to cheat the system, who wouldn’t when you live on the edge. It’s a drop in the bucket all for a PR attempt.

I have an iPhone pro, a 120hz LG, and a MacBook Air. At no point has the MacBook felt choppy…

I switch between various refresh rates daily, it’s barely noticeable.

Because this needs to be toned down a serious notch. I’ve spent the last year and a half in AI land just to do 95% data work and pretend that it’s now somehow magic AI while OpenAI and the rest are seen as the magic that makes this all work.

You have a 4500+ lb car with 0-60 acceleration of 2.x to 4.x seconds and crazy torque, if you drive EVs like a teenager you will eat your tires after 10-12k miles.

I mean... yes/no? EVs are on AS slicks, the tyre itself has less tread on it than something like CrossClimate 2. Overall they are replaced quicker and eat tread quicker. Its ~50% difference. I have both ICE and EV.

The new tyres that are coming out like Pirelli P Zero, promise a longer life span, but that remains to be seen.

They just need to hoodwink an investor to give them enough money to buy a factory producing magnets in China. Then they are going to slowly back way from their claims of doing anything special.

If they do not, they will run out of money and close after expending whatever capital they have.

Rinse and repeat and brrr goes the money printer.

Just like if you take eating healthy to the limit, the course of action is to not eat and starve to death?

That’s why we don’t take things to the limit right? That’s how you get a singularity.

So interact with them? This doesn’t stop you in any way.

I pay $89 for 15 months of Outlook for Families thing, which gives me onedrive, office and ad free outlook, credit monitoring and centrally managed anti-virus for a family of 6... You are not beating that in any other provider. Credit and dark web monitoring alone per person will cost that much per month.

Everything except loop, kaizala, and parts of viva... so 90%?

Are you kidding me? For $46 a month, I am getting 57+ features / products. Let's list some major ones.

Exchange online with 100GB mailbox. Onedrive with 1TB storage Sharepoint with 1TB storage allocation as I am 1 user Full desktop office applications Full browser office applications Forms - so basically functional enough SurveyMonkey Teams Planner Bookings, so Calendly... Anti-virus MDM MAM Windows 10/11 Enterprise AAD, a full identity provider with MFA, SCIM, Federation, support for 1000s of integrations A ton of security and audit features to go with all of this.

There is nothing even close to this... adobe costs $30/mo. to edit PDFs with SSO...

And you get anti-virus and credit monitoring with that...

Oh, no it's a thin client. Everyone, get the pitchforks.