There is probably a marvelous software core in many large enterprises but at least in my experience it’s surrounded by layers and layers of very basic stuff. Read from a database, write to a database (often not even with any logic dealing with parallel read/writes). Excel Macros. Basic forms to submit data. Scripts to print some stuff from a database. …
I guess experiences differ across companies and industries. I work in logistics. Logistics deals with messy processes and a messy reality all the time. A tiny fraction of that is due to buggy software. Some of it could be avoided with great software, but again: that we also didn’t have before LLMs
Yes. Bad UI, cumbersome flows, too little automation, … plenty of flaws, but the business just keeps on running. Orders received, invoices written, documents shared, …
I think the author underestimates how boring and simple 90% of enterprise software is. The part that isn’t powering aircraft and power plants. So much of it originates from one-nighters, badly managed subcontractors, and requirements that are of low quality to begin with (because they are written by people who have very different day jobs). And you know what? Most of that runs 24/7 without a glitch. LLMs just gives us more of that. And maybe it’s even better
> Regulation before the market has even settled down
The counter point would be: the major AI providers have seemingly also lost control of their creation. So at the very least both sides are doing things before they fully understand what they are doing. Also, looking at the (planned) IPOs and the share of AI in S&P 500, one could argue that while the market hasn’t settled, it already is a massive market. When should we start regulating? Eventually it will be too late
> Regulation that cannot practically be implemented or complied with
Yes. Having worked with one EU authority, it’s still people who eventually do the enforcing. That has the risk of corruption but I have also seen repeatedly that they won’t do something if it violates common sense. As always, there is room for interpretation and enforcement and it will be used. Like with any good governance. And companies still can (and do!) sue
One can and must discuss and challenge all these regulations, but this seems better than just sliding carelessly into some sort of mega-corp dystopia. It is good to have some balance of power. Is the EU perfect? Absolutely not, but neither are the corporates. Ideally, compromises will be found (and mostly they are found). Honestly, what’s the worst that can happen here? If this slows down the European economy, that’s a trade-off Europe has chosen to take (and yes, I’m very aware of the difficulties of fair representation in such a complex entity as the EU). We now have three big power blocks with very different politics and governance models. Isn’t that so much better than just playing one massive bet on a few big AI players? Honestly, I think it is exciting!
There might be a set of people for whom that might be true. There are a lot of people for whom that is not true and, fair or not, they will have an easier time to make things happen in the world
Today’s surface areas are gigantic and many of them will - in a typical company - not be chosen by cybersecurity experts. How do I hide the physical location of an office that offers physical access to the company’s network? How do I hide which OS the company is using? How do I hide the underlying technology of customer-facing systems? How do I hide which SaaS services I use?
No, a compromise can also be a win-win. It balances potentially extreme positions, it adds further perspectives, it forces all parties to consider what is most important to them. If the only alternative to a compromise is no agreement, it may actually be the only way to win
Skeptical of the study approach, but it is an entirely possible scenario if we don’t hit AGI. Many of the non-tech companies are only now starting to invest into AI. For many of them, AI might unlock new business approaches. Eg a company switches to real time pricing. Great, but suddenly you need people swapping price tags. Or you launch a project to replace paper price tags with electronic tags. Those need to be regularly maintained and charged, etc. Oops, our legacy ERP system can’t deal with that. Let’s upgrade that
It’s such a beautiful plane. Despite having worked for Airbus, the 747 triggers emotions for me that the A380 simply doesn’t. It represents an era of aerospace engineering that will not come back (in many cases probably for the better - but still!)
Because it is really hard to reliably hire good people. Almost all typical signals & methods (CVs, experience based interviews, …) have very low reliability. An IQ test has the highest reliability according to studies but would be illegal in most jurisdictions. Plus, hiring managers frequently don’t know what they want or they believe they want something that they actually don’t
If there was any smart way of doing it, we should block it for everyone. Very little good has come of it. Also solves the age verification problem. It’s soooo difficult to not fall into the addiction trap, and I’m exhausted from keeping myself away from it.
Historically, this has nothing to do with lying, but is all about the founding idea of the social security system that all parties (workers, employers, state) carry part of the burden. Employers were supposed to pay their fair share because they also benefitted from the system (a sick or injured employee is not a productive one). Or saying it differently: the employer pays an insurance premium to reduce the effects of sickness. That premium is tied to the „value“ of the employee as measured by their salary.
There is plenty to improve with the system but to call it „retarded“ considering how much good it has brought to the world seems quite wrong to me. I don’t want to work in the pre-Bismarck era
To me, it doesn’t make a lot of sense to hire fewer juniors because of AI. This assumes that the only thing AI can’t replicate is experience. This in itself already seems questionable, but most importantly what about creativity, relating to humans, common sense, etc.?
If you had to hire a concierge for a hotel, would you rather take a guest-oriented, quick-witted junior or an AI? If you could either take a Waymo or an 80-year old driver, what would you take?
I don’t believe hiring managers think that one-dimensionally. Roles are unique and in some roles experience is more important than in others. Plus, juniors already balance their lack of experience with lower salary expectations.
The much easier explanation for the anecdotes: companies are more cautious at the moment and if you only have a few positions to hand out, you rather take the proven hand than risking it on someone who hasn’t shown yet that they can do it
Plenty of comparisons here between salaries and token costs. All fair but very much assumes that salaries are rational. Why do we pay some engineers 10x as much for the same role just because they are in a different location? The WFH discussion surfaced some of that. If money is cheap, all sorts of funny things are happening. Is it worth to spend 1500 USD on AI? I don’t know. Is it worth paying engineers 300k USD instead of 30k? Honestly, I don’t know
So many comments on Claude having gotten worse over the last weeks. Haven’t noticed it myself apart from one very stupid thing it did recently. Is there any proper data on this? I saw this one claim recently (can’t find the link) but I believe they didn’t run the same test twice but tested different things over time
I don’t know. Is a random YT channel more trustworthy considering their reliance on sponsorships? And once they do interviews, they face the same issue
I also just don’t see interviews being a big audience draw (at least for text-based news). It seems there are so many other, bigger problems than the issue of access: lack of revenues, lack of interest in quality journalism, …
I fully agree that it’s close to impossible to not eventually fall into the trap of overrelying on them. However, it’s also true that I was able to do things with them that I would never have done otherwise for a lack of time or skill (all sorts of small personal apps, tools, and scripts for my hobbies). Maybe it’s a bit similar to only reading the comment section in a newspaper instead of the news? They will introduce you to new perspectives but if you stop reading the underlying news you’ll harm your own critical thinking? So it’s maybe a bit more grey than black & white?
Is this how it really works? With demand outstripping supply, prices rise across the globe. Prices at gas stations go up as well. The only ones earning a „LOT“ of money are Big Oil shareholders?
Beyond all, I think cost is a major driver. A key difference in cheaply made clothing vs more expensively made clothing is the sophistication of the tailoring. However, the interesting side effect is that cheaply made clothing sort of fits everyone badly while more expensively made clothing either fits you really well or not at all. If(!) you care about well-tailored clothing you're either lucky that one of the brands fits your body or you need to go the custom-tailoring route. Custom tailoring wasn't anything special for a long time but we sacrificed it to our desire for cheaper clothing (which isn't necessarily a bad thing!)
I agree with the sentiment. I don‘t code a lot, but AI has sped up things in all fields for which I use AI (or at least the expectation of speed has grown). For me, it’s the context switching but also just the mental load of holding so many projects and ideas together in my head. It somewhat helps that the usable context of LLMs has grown over time so I tend to trust the „memory“ of the AI a bit more to keep track of things and somewhat try to offload stuff from my brain
I‘m a technical exec and most of the advice rings true. Somewhere the translation from technical goals to business goals has to happen. Good leads will help with that and good engineers will come prepared
That might be true for today’s laptops, but back then laptops had a lot more empty space to compress. Combined with a tough but flexible shell, the thinkpad might indeed have saved him!