nis0s

I hate that it happened because of a political reason, and many topics affected were unnecessarily targeted, but it’s 1000% true that many labs were overfunded, and accumulated resources which were essentially spent on ego bullshit. There need to be more cuts and selective funding of research labs, in general. Sadly, funding R1 does not guarantee that you’re going to get anything meaningful from that research as a non-trivial number of PIs just used excessive funding to bloat up their numbers to appear politically important, like middle managers at FAANG. So, essentially creating an adult daycare with no regards to output or impact. This needs to stop, and spending needs to be allocated responsibly. Lab impact needs to be assessed on regular (2-yr seems reasonable) basis, and then funding needs to be diverted to new or better players.

> I agree with you take the there isn’t a lot of specialist work for data scientists to do with using off-the-shelf LLMs that can’t be done by an engineer.

Conversely, data scientists are doing software engineering, including webdev. It’s an interesting time. I think it’s less about the job title demarcation now, and more about output.

Not yell (why?), but use all caps to emphasize. The yelling isn’t going to cure a shifting context window, no matter how much you do it.

Where are all the production issues that have been created because of AI? Are there more incidences than before now? What’s the rate of production failures pre and post AI?

Only reason humans need to be in the loop is so there is someone to blame or hold accountable in a legal sense.

Not really, there’s a lot it does right. But any automated tool or calculator will be as good as its operator.

What’s important? That bridges get built and stay up, or that they’re built only after toiling X amounts of hours. AI will change the nature of work, it’s going to make a lot of people uncomfortable. But more importantly, it’s going to let people who understand things faster get the info they need to be productive.

Why don’t people use their real accounts to make these spam posts? Degens.

The problem being solved is how to easily do grafts and kickbacks.

There aren’t different definitions of consciousness, rather different conditions which result in an emergent property. The field has generally accepted sentience as a level of consciousness, which needs further examination.

It’s likely a misdirection, it’s hard to say what might happen. It might not even be five days wait.

Why don’t they ask the Saudi to settle their debts, or pay for the defense pact SA made with them? Like US and NATO, currently.

It depends on your context window, and how much else you’re relating to the agent(s).

That number is so alarmingly arbitrary I am concerned such activities and related statements may amount to supporting some manner of a Ponzi scheme.

One key reason you’re wrong is that many interesting things aren’t even getting published, they’re on the DL for years and eventually make it to public spheres and products.

Academia is just a daycare at this point, and many labs shouldn’t exists or get funding. The people who move the field aren’t necessarily the ones with the most citations, they’re usually hard at work in places that don’t publish at all.

Because as someone said in the thread that in two years the LLM will just read the docs and produce perfect Bend code.

I was in a programming class when ChatGPT/CoPilot first came out. I hadn’t started using it yet for classes because I was under the impression that “my work should be my own”. I was the only one in the class who would get 80+ average on quizzes, everyone else got nearly perfect scores. Oh well.

Something else is afoot in the markets, I wouldn’t take rando tweets at face value, especially if they’re confirming a narrative you’re biased to accept.

https://www.citadelsecurities.com/news-and-insights/2026-glo...

The problem is that inefficient systems will cost even more as you scale their use, but gains from such systems are not guaranteed, and profits even less so.

How much are you spending before you even see a $1 of revenue?

Nice tool, but the agentic workflow doesn’t sound cost efficient.

This is marketing, not reality. The only “job destruction detector” anyone needs to keep track of is non-farm payrolls.

The best way is to publish papers and go to conferences

There were always multiple crises in the world at any one time. We’re just aware of them happening concurrently now because of the internet and global connectivity.

These types of frameworks never resolve the core problem with agents, which is they don’t really think and so are prone to getting stuck in infinite loops even if they’re wrong. I haven’t used this framework, but my guess is that Devil’s Advocate will be the most prone to this problem. But who knows.

Great idea, I would start by speaking with a trained educator at a university or similar.

Maybe also get some other people on board to create a certified program so if your program doesn’t work out for the student, they can get some credit for spending/wasting time with your group.

Other thing is safety, if you’re dealing with young people and involve other adults, you want proper and lawful mechanisms to protect the kids and yourself.

Besides that, teaching is a skill by itself, and teaching poorly can have the opposite of the intended effect.

If AI will be so capable that it will work flawlessly without human intervention, then why can’t replaced employees use AI employees to start their own companies, and set up competition to existing vendors of all kind. Retail, ads and marketing will be still be kings, and the next competition will be AI vs. AI.

A sufficiently motivated adversary will have the hardware to run the biggest open source models on prem. The only costs are then electric bills.

Sure, one agent will be fine in that setting. But the dynamics and requirements change you have multiple agents who need to coordinate tool use and task assignments.

Opensource models exist

There is a need for an orchestration-ready IDE, but the entire ecosystem of cost per token is unsustainable for the amount of work that needs to be handled. Open source models and tools are the only solution.

Only Amp is dead. The coding agent/tools are fine, you don’t see Cursor shutting down its doors.