Wow, is that what preview means? I see those model options in github copilot (all my org allows right now) - I was under the impression that preview means a free trial or a limited # of queries. Kind of a misleading name..
Do they? What are those OpenAI earnings that you are talking about? That's a company that should have ceased existing some time ago if earnings were important
Thanks for replying - so its used as a generic catch-all term internally? Did previous DoD secretaries use it in speeches? I thought they used bureaucratic terms like service member. I guess that doesn't work in casual conversation...
Am I too much of an idealist to hope that AI leads to less buggy software? On the one hand, it should reduce the time of development; on the other hand, I'm worried devs will just let the agents run free w/o proper design specs.
The message with AI from execs is that you have to go fast (rush!). Quality of work drops when you rush. You forget things, don’t dwell on decisions and consequences, just go-fast-and-break-things.
> The message with AI from execs is that you have to go fast (rush!). Quality of work drops when you rush.
Sure, but otherwise, the competition will be first to market, and the exec may lose their bonus. So, the exec keeps their bonus, and when the tech debt collapses, the exec will either have departed long ago or will be let go with a golden parachute, and in the worst case an entire product line goes down the drain, if not the entire company.
The financialization and stonkmarketization of everything is killing our society.
Considering how many companies that have adopted AI led to disastrous bugs and larger security holes?
I wouldn't call it an idealist position as much as a fools one. Companies don't give a shit about software security or sustainable software as long as they can ship faster and pump stocks higher.
The average LLM writes cleaner, better-factored code than the average engineer at my company. However, I worry about the volume of code leading to system-scale issues. Prior to LLMs, the social contract was that a human needs to understand changes and the system as a whole.
With that contract being eroded, I think the sloppiness of testing, validation, and even architecture in many organizations is going to be exposed.
The social contract where I work is that you’re still expected to understand and be accountable for any code you ship. If you use an LLM to generate the code, it’s yours. If someone is uncomfortable with that, then they are leaning too hard on the LLM and working outside of their skill level.
It might actually turn out like that. A lot of bloat came from efforts to minimize developer time. Instead of truly native apps a lot of stuff these days is some react shaped tower of abstractions with little regard for hardware constraints.
That trend might reverse if porting to a best practice native App becomes trivial.
Considering that AI still can't even reliably get basic programming tasks correct, it doesn't seem very likely that turning it loose will improve software quality.
Many tech execs operate under the thesis that china & the democratic party are existential threats that warrant a surveillance/military/police ramp up. Meanwhile, many tech employees are credulous and frequently adopt self-serving geopolitical narratives. The current macro trends don't help (huge defense budgets, bad labor market power, China is in fact more powerful)
That's the key: use AI for labor substitution, not labor replacement. Nothing necessarily wrong with labor saving for trivial projects, but we should be using these tools to push the boundaries of tech/science!
To be fair, the healthcare employment flows are small (1.6M) compared to the total employment stock (160M+ people). And you would expect the healthcare labor supply to increase to match the bulge created by the baby boom. I don't think this means we will all be a healthcare middle man though; it assumes this large flow is permanent, and overstates the fraction of the labor stock.
Not all the legacy newspapers are failing; NYT is doing well. There are other news sources beyond legacy newspapers, broadcasters, local news, and social media. There are wire services (AP, Reuters), insider access journalism (Axios, Punchbowl, Semafor), public media (NPR, PBS, BBC), investigative journalism (ProPublica), digital-first outlets (Politico, Vox), and the growing wave of small, indie , creator-led media (YouTube, Substack, Patreon).
NYT as a news organization is, charitably, part of the controlled opposition. They are not meeting this moment at all, through cowardice or intentional complicity I'm not completely sure.
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