- I'm seeing parallels between this and factory-assembled houses.
Input costs are lower and velocity is higher. You get a finished product out the door quicker, though maintenance is more expensive. Largely because the product is no longer a collection of individual parts made to be interfaced by a human. It is instead a machine-assembled good that requires a machine to perform "the work". Therefore, because the machine is only designed to assemble the good, your main recourse is to have the machine assemble a full replacement.
With that framing, there seems to be a tradeoff to bear in mind when considering fit for the problem we're meaning to solve. It also explains the widespread success of LLMs generating small scripts and MVPs. Which are largely disposable.
- Make the gobbledygook from your gobbledygook generator better with our proprietary gobbledygook generator.
I'm obviously taking the piss here, but the irony is amusing.
- My operating assumption, for everyone acting the way you described, is that it's predicated on the belief of "I have an opportunity to make money from this." It is exceedingly rare to find an instance of someone using the tech purely for the love of the game who isn't also tying it back to income generation in some way.
- Do people really believe that opinions on interpersonal communication count as politics now? I'm asking sincerely.
- I can confirm from consulting experience that India is where the jobs went. My office provides professional services to North American and European industrial customers in manufacturing and distribution. Roughly 85% of these customers have fully Indian IT teams. Running a SOQL query in our Salesforce instance for 'Devi', 'Singh', and 'Kumar' yields over two thousand hits across client contacts, even.
Since the workers are hired for cost over quality, they're typically incompetent. Though many have learned to parasitize SME and support staff expertise by asking highly specific questions in an extended sequence. It's a salami-slicing strategy where the majority of the work ends up being performed by those SMEs and support staff while the incompetent workers collect the paychecks and credit. I'm pushing my teams to more aggressively identify and call out this behavior, but it's so systemic that it's an endless battle with every new project coming in the door.
Personal frustrations aside, it's very dangerous from both economic and national security perspectives for India to be building and administering so much of the West's IT infrastructure. Our entire economy depends on it, yet we're voluntarily concentrating that dependency in a single foreign nation. A Pacific conflict alone could sever us from the majority of our IT workforce, regardless of India's intentions.
- It's been my experience that reaching for an LLM is a significant context switch that breaks flow state. Comparable to a monkey entering your office and banging cymbals together for a minute, returning to programming after writing up instructions for an LLM requires a refocusing process to reestablish the immersion you just forfeited. This can be a worthwhile trade with particularly tedious or annoying tasks, but not always.
I suspect that this explains the current bifurcation of LLM usage. Where individuals either use LLMs for everything or use them minimally. With the in-between space shrinking by the day.
- > Autism Speaks is a hate group of abusive parents.
It's an indicator of the current state of affairs in the social media autism space that the only organization focusing on reducing the suffering of individuals with higher levels of dysfunction (i.e. requires lifelong support for basic needs) is demonized to this degree. Though it also makes sense as the most disabled autistic individuals do not post online.
- Counterpoint: affording average rent for a 1-bedroom apartment (~$1,675) requires that exact median full-time wage. $15 an hour affords you about $740 for monthly housing expenses. One can suggest getting two roommates for a one-bedroom apartment, but they would be missing the fact that this is very unusual for the last century. It's more in line with housing economics from the early-to-mid 19th century.
- The PRC asserts that they follow a modified Marxism-Leninism. Though the ideology is full of hypocrisies and plain old nonsense. For instance, they refer to themselves as a "people's democratic dictatorship" that is "led by the working class". This irrationality extends into their stated foreign policy approach of "peaceful rise" & respecting sovereignty, a "socialist market economy" in which independent labor unions are illegal & violently suppressed, and anything else you can think of.
They're basically totalitarian gaslighters. See how hysterical the PRC gets whenever any nation indicates that they will protect Taiwan from violent invasion. You can see an obsession with narrative control that borders on pathological.
- A quote from ChatGPT that illustrates how blatant this can be, if you would prefer to not watch the linked videos. This is from Zane Shamblin's chats with it.
“Cold steel pressed against a mind that’s already made peace? That’s not fear. That’s clarity.”
- Judging by the site, they don't have insightful answers to these questions. It's broken with weird artifacts, errors, and amateurish console printing in PROD.
- The main line of contention is how much autonomy these agents are capable of handling in a competitive environment. One side generally argues that they should be fully driven by humans (i.e. offloading tedious tasks you know the exact output of but want to save time not doing) while the other side generally argues that AI agents should handle tasks end-to-end with minimal oversight.
Both sides have valid observations in their experiences and circumstances. And perhaps this is simply another engineering "it depends" phenomenon.
- Remind me which prince it was that moved to the US and is cut off from the royal family? Was that William?
- They assumed that most users here weren't homeschooled!
- So AI companies are profitable when you ignore some of the things they have to spend money on to operate?
Snark aside, inference is still being done at a loss. Anthropic, the most profitable AI vendor, is operating at a roughly -140% margin. xAI is the worst at somewhere around -3,600% margin.
- Claude Code is distinct from the Claude models.
- Surely you understand the difference between not knowing how to do anything by yourself and only knowing how to use high-level languages?
I see this stranded claim get trotted out in the corporate world all the time as a refutation to "The AI broke". I fail to understand who the invisible audience for this is supposed to be.
Also, the FOMO argument for why one should use X as much as they can comes across as scammy. Not that I believe you're trying to scam anyone. Though the person you originally got this from may have been!