As long as Codex remains so affordable and useful they do not have to slash prices, just keep Codex usable.
I keep meaning to try Claude Code, but I can't seem to run out of limits on Codex on regular pro plan.
Meanwhile all my friends on Claude Code are fighting the token limits every few hours.
I even switched to using extra high for easy medium level script tasks as a test and besides taking longer there was not much reduction in the token allowance.
I generally write a detailed spec before plan then possibly iterate a bit before implementation. Not sure what I am doing "wrong".
At the same time you have to be out there in the world, increase your luck surface - if you sit in your cubicle/room/private chatroom all day you are less likely to make a mark on the world despite your brilliance.
Again I forgot which artist said it but that in New York art scene the most successful artists spent most of their working days socializing not painting/sculpting etc.
Along with already mentioned "Buy, Borrow, Die" strategy is the more widely practiced "Expense everything" strategy which often ends in tax disaster for the practitioner.
He expensed lavish Gatsby style parties and everything.
I remember reading a biography of his that one way in 1920s he accomplished was by having bought some big mostly useless plot of land and technically his lavish parties were sales presentations to sell this land. Occasionally some of his acquintances would actually buy a parcel of mostly useless land in middle of nowhere thus the business use was actually maintained. Again, highly unlikely to fly today with IRS and even then there were tax lawsuits.
The issue is that it is impossibly hard to pull off without going into tax fraud territory.
Another interesting case of "Expense everything" were ABBAs stage dresses and suits. They were purposely flashily impractical to avoid falling afoul of Swedish tax laws.
That said tax authorities in most countries do allow some leeway for the small fish. Basically pragmatic tax authorities give you certain limits for certain expenses that you can expense.
So in my European country you can expense a certain amount of gas, travel, clothing, eating out, etc as a self-employed. Yes you should have receipts, but if you stay within limits, it is up to you how honest you want to be about that "business" lunch.
I remember it being it common in US too, someone takes you to lunch and you are supposed to mention their business and talk a few minutes about their business, then in their eyes it was a business expense.
However, the moment you start going over these limits you will face increased scrutiny and you are in for a bad time for claiming as business expense lunch with your friends at Dorsia.
The latest clickbait style can be mitigated by custom instructions.
I use:
"Tell it like it is; don't sugar-coat responses. Use academic university level explanations unless instructed otherwise.
Do not end with teaser offers or curiosity hooks. Give the full answer immediately. If related topics exist, show them as a brief bullet list. Use professional language and style."
Now I actually often like the related topics hooks, just not the clickbaity version from last few weeks.
If not for Codex performing so well for me from VS Code I'd happily migrate to Claude or Gemini.
Also brings back the irony now apparent in original Google paper: http://infolab.stanford.edu/pub/papers/google.pdf "To make matters worse, some advertisers attempt to gain people’s attention by taking measures meant to
mislead automated search engines."
Basically you have Cremant type sparking wines which are produced from other regions of France besides Champagne. It is just like Champagne just that other French regions like Loire, Alsace, Bordeux etc are not allowed to call it Champagne.
So just like Armanac's are like Cognac's for lower price, good Cremant will be cheaper and more enjoyable that cheaper Champagne (I've not had any really expensive Champagne).
Then you have Cava from Spain which is similar process to Cremants and Champagne.
The difference would be in type of grapes used. A friend of mine swears by Cavas just like I swear by Cremants from Loire region. However my wife hates Cava.
Then Proseccos from Italy again are similar, but quality varies more.
After that we get into more questionable cheaper sparkling wines which usually means some sort of out of bottle insertion of CO2 and even worse version include some other modifications such as sugar.
In general to avoid literal headaches you want BRUTs. Anything semi-sweet or sweet is suspicous.
Again I am not a full wine expert but this is mostly years of ahem experience.
After, RAM, SSD, GPUs, now HDDs what else is there left to sell out? Power supplies, fans?
In a way this feels a bit absurd for these AI centers to hog HDDs.
As pointed by others neither training nor inference require HDDs and storing raw data should not require that much.
So my hypothesis is that it is a double whammy of overall declining consumer sided HDD demand, leaving data centers as main source of demand and additional demand from the new AI centers.
I feel like the AI centers are just buying HDDs because why not throw a HDD in each server blade even if there is no need? The money is there to be spent and it must be spent.
As someone who has been building computers since 1989 it feels like end of personal hobby casual building.
I will end with an imperfect analogy with multiplayer gaming. It is quite common in multiplayer games for higher level players to wish to acquire some tradeskill they neglected to acquire earlier. maybe a new quest appears, or new "must have" item that requires such skill.
They (past me included) have too much game money and no wish to acquire tradeskill items slowly. So the "rich" will overpay by 2x or 10x or even 100x the usual price.
That is free market at work right?
In the process whole low level economy is destroyed due to 2nd order effects.
Meaning a new player starting out can only be a farmer.
So if a student comes to me wishing to start building computers what advice do I give them? Farm something?
This is very cool and having stalemate is nice, however how much space would it take to implement the full ruleset?
As you write: not implemented: castling, en passant, promotion, repetition, 50-move rule - those are all required to call the game being played modern chess.
I could see an argument for skipping repetition and 50-move rule for tiny engines, but you do need castling, en pessant and promotion for pretty much any serious play.
Interesting information but these are not hard numbers.
Surely the 100-char string information of 141 bytes is not correct as it would only apply to ASCII 100-char strings.
It would be more useful to know the overhead for unicode strings presumably utf-8 encoded. And again I would presume 100-Emoji string would take 441 bytes (just a hypothesis) and 100-umlaut chars string would take 241bytes.
"Davis, whose firm has invested more than half a billion dollars in Groq since the company was founded in 2016, said the deal came together quickly. Groq raised $750 million at a valuation of about $6.9 billion three months ago. Investors in the round included Blackrock and Neuberger Berman, as well as Samsung, Cisco
, Altimeter and 1789 Capital, where Donald Trump Jr. is a partner."
POP QUIZ - Which minority partner is the key here?
What is current state of the art workflow when working with legacy code across multiple languages?
This would be a 100 kLOC legacy project written in C++, Python, and jQuery era Javascript circa 2010. Original devs have long left. I would rather avoid C++ as much as possible.
I've been Github Copilot (in VS Code) user since June of 2021 and still use it heavily, but the "more powerful intellisence" approach is limiting me on legacy projects.
Presumably I need to provide more context on larger projects.
I can get pretty far with just ChatGPT plus and feeding bits and pieces of project. However that seems like using the wrong tool.
Codex seems better for building things but not sure about grokking existing things.
Would Cursor be more suitable for just dumping the whole project (all languages) basically 4 different sub projects and then selectively activating what to include in queries?
It is so infuriating to get content block on ChatGPT for pretty much any fairy tale that has had a Disney related adaptation.
Try getting a Grimm's 19th century Snow White illustrations. You can not because the Disney crap supersedes it.
In fact you can not get a Snow White illustration of any kind on ChatGPT.
I can not figure out any prompts that would draw using public domain knowledge.
Same goes for a pirate fighting a flying boy - no good.
New one this week was when I tried to draw a border around my daughter's picture of a Poppy from Trolls(That's Dreamworks but same problem).
The actual copyrighted Poppy appeared in the border half way down the generation and then of course content block appeared.
What is hilarious though that ChatGPT will profusely apologize and provide extremely detailed instructions in setting up local Stable Diffusion as an alternative...
As I recall Holmes did in fact do a lot of walking. He vacillated between periods of inactivity(cocaine, violin, shooting V in wall with a revolver) and intense activity (taking up disguises and doing various physical activities including walking all across London and elsewhere.
Just because your logical mind says one thing is good to do and you know you should do it you are not going to always obey your rider, the inertia of the elephant takes over.
So you need a trigger to snap out of it, for Holmes it was a new case.
Indeed regular Jupyter works so well on VS Code for solo work these days that there is no real need for a new entrant.
So what pain point are these new entrants trying to solve?
Sure there is an issue of .ipynb basically being a gnarly json ill suited for git but it is rare that I need to track down a particular git commit. Even then that json is not that hard to read.
Also I'd like an easier way to copy cells across different Jupyter notebooks, but at the end of day it is just Python and markdown not very hard to grok.
OpenAI has ridiculous guardrails for illustrations covering any public domain subject that has been covered by Disney or any other major public corporation.
So by that benchmark Japanese companies have a case.
Try generating a 19th century style illustration of Snow White. You can't at least not on OpenAI platform.
Try generating a picture "of flying boy fighting a pirate on a ship".
I spent a month in 2012 roughly 4 hours a day doing various tasks.
It was horrible, even if I followed all the "best practices" of Turkers it was not a way to make a living.
By end of the month, I had become so jaded to all the "priming" experiments by graduate and undergraduate psychology students. Those usually paid at least something 3-4 USD an hour.
Did some porn labeling tasks, those were horrible after the novelty wore off.
Did very few other labeling tasks because they paid next to nothing.
To have someone actually depend on living for these seemed like a torture.
Same strategies apply for guessing the unknown especially with a modicum(it was on the test!) of Latin knowledge..
Strange that pretty every one here is getting 70k estimates (93/100 for me).
Feels a bit high at least for me as a non-native speaker.
I got 2 words I knew wrong, and guessed about 5 unknown words correctly. Those were bizarre repetitive words I've never seen before.
I remember doing a similar test from a reputable university about 10-15 years ago also in an app format and only got about 30k estimate.