It’s not “theft of labor”; the work was already done. If anything it is theft of “intellectual property” (aka “copyright infringement”), if you believe that is a thing, but not of the “labor” that went into it.
My personal take: anyone producing content, everyone’s creativity, is fed by something that others did before. We’re all standing on the shoulders of giants composed of previous generations and their “content’s” distribution and dissemination. I have an immense gratitude for all the labor before me that I was and am allowed to partake; without that, I would be nothing. Sharing information is an act of love; gatekeeping it is short-sighted greed. New technologies have always “killed” previous “labor”, out of which new opportunity grows. I just wished the collected data was public. I hope we all get a mega-leak at some point.
Don't know whether this is a common outcome, but I tried the "remove the walls" example, and the result was... scary. It completely changed the game so that movement is now diagonal, and made the arbitrary decision that up/down move you on the positive diagonal, and left/right move you on the negative diagonal.
The problem, of course, is that having only the one single "you can't win" law is severely underspecified, but the solution was too clever by half, and highlights the problem with this approach — every program will be under-specified, because, at some point, writing the laws becomes a bigger problem than writing the code itself.
This becomes a real issue because the combination of underspecified but rigid laws pushes the aI towards this sort of "creative" solution that matches the letter but not spirit of the law. In this case, the issue was obvious, but I seriously worry about what sort of shenanigans will occur in less obvious cases.
I have been to a couple of CCC events in my late teens'ish. Around 26C3.
Over all can recommend, at least as a groups. I used it to meet some online friends for the frist time. Wifi / wardriving nerds that I spend a lot of time with online.
But man, I think I have never been at a place with so many small negative experience with other people. Death by a thousand paper cuts. One older man out of nowhere loudly proclaimed I was Anti-semetic, because I was wearing a Palestinian keffiyeh. When sitting in the cellar in the "hacking area", friends of mine and me where coding on kismet or aircrack-ng, when someone from the neighboring desk asked what we where doing. After I told him he only lifted his nose slightly and with a smug smile said "Oh, that's what you call hacking today?"
At one camp, where there even was an event on photography, someone I met almost went into a rage every time he saw a camera. Not pointed at him, just someone with a camera. Off he went to tell the camera owner about how it was last camp and his opinion ..
Everything just minor interaction. But as a whole it's just not people I want to hang around with any more.
> The problem is that vibe coding makes it possible to build a substantial solution before learning enough about the problem to recognise that a much better solution exists.
This example and Bend aside, I find this to be the biggest struggle with the perceived intelligence we have today. It's great at producing something that works, but it is not great at calling you out when you don't know what you don't know.
It's not able to educate and course correct you unless you have great self awareness and discipline.
That said, I think this goes for everything, it's easy to fall into this trap because it is very human. We simply don't know what we don't know, so it's not uncommon to revisit an old solution only to be enlightened that there is now new information that allows you to replace it with something much better.
I don't think anything here is new or changed, if anything changed is really just the rate that we experience this. LLMs make it easier and faster for the feedback cycle to happen.
Now back to Bend, I think putting your work out there and being unapologetic about it, open source even, and willing to take feedback, will go a long way.
I am more worried about the many closed source implementations of LLM built products that are being sold and people are depending upon that don't get this great criticism from many different thinking heads.
Lawyer here (non practicing so to be clear none of this affects me):
most comments I read here don't seem to realize that different areas of law have very very different economic models and don't even mention which one they think will be affected or why, they just sort of lump it all together.
For example: It is highly unlikely llms will have any meaningful effect on high value personal injury law - I don't see a 5 million dollar case being handed to an LLM when the majority of the cost is in trial aids and not even lawyers. It may affect where and how they advertise. It may affect how they work. But it seems really unlikely to put any of them out of business any time soon by people doing it themselves.
Will it affect other areas more? Maybe. Probably? But so far I haven't seen a ton of comments that make specific enough arguments that they could really be debated or responded to effectively with a useful opinion
The alternative is WordArt, or just black on white Comic Sans with some bolding and font size variations with bad ClipArt. These small scale events would never hire a professional.
I'm old enough to remember that people also complained about WordArt and Clipart and too many fonts etc.
I see the chatgpt poster style on many small-scale local village events also. But again, what they replace wasn't any better. It's not replacing some beautiful craft that existed before.
> They identified two different brain progenitor cells. One, which expresses a gene called Otx2, is destined to become the forebrain and midbrain. The other, which expresses a gene called Gbx2, is committed to forming the hindbrain. They showed that these two cell populations never overlap; they are mutually exclusive from the earliest stages of development.
Very cool. Never thought the brain could have two completely different ancestors
Once I asked, puckishly, Claude Code to “follow the instructions in this directory” when there was only an AGENTS.md there.
In the manner of someone finding a dead mouse and holding it up for examination CC said it could find no instructions but perhaps it should check this AGENTS.md file.
I'm not sure that Claude's "Realigned the shape of the load-bearing ownership gate to reduce the blast radius of the design contract; confirmed, not assumed" is more meaningful than "fix".
Is a new vibe-coded landing page for a 5-year old product really worthy of being on the front page nowadays? There should at least be a [2021] in the title.
Carney has extremely strong support amongst the general public in Canada which hasn't been the case for the Canadian PM over the past 20+ years.
158 Canadian soldiers died defending the United States at the US's request after 9/11. Canadian fighter jets helped to patrol the skies in the US at the US's request after 9/11.
The insults coming from the US Secretary of Defence and President are not unnoticed. They are logged and remembered.
There is a finite number of rces that LLMs can find. We‘re in for a rough couple of years but on the other side of the transition we‘ll have more secure software stacks. I’d rather that everyone got the full capabilities and we’d weed out the bugs quickly than restricting LLMs for all but three letter agencies.
If you want to try a _legit_ Jev implementation that matches (at least in my evals), the vLLM patch to turn DiffusionGemma into Jev is available.
On my DGX Spark I get very similar latency numbers, and it matches my evals + or - a few points on each test (DG wins some, Jev wins some, both show low confidence when wrong).
I ran the same evals against a Qwen36 and it clearly lost to both of them, so you are leaving both knowledge and instinctual reasoning on the table with any smaller models, FWIW.
My MIL setup a passkey accidentally on her Google account and now has no idea where it is. Removing it now requires her password which she’s also forgotten. But now for some reason on Google I can’t initiate any type of forgot your password flow because of how Google sets up things and I have zero clue where she stored the passkey.
Sure guys, why can't someone just build you your personal phone at the same price as the iPhone whose development costs are amortized over seval billions consumers :-/
Nah, if this was the OP website you’d be complaining that it tells you nothing and you have no idea what they do or what they are presenting still. Also that it looks like shit on mobile. You’re just glazing the company in this case.
You should go with the canonical HN quality website references: McMaster-Carr, Craigslist
Exactly, "you can't win" is grossly under-specified. The goal of the demo is just to show that laws can't be broken. Yet, if that's your only law, the AI can do whatever to protect it - including changing how the character moves, or even removing the flag entirely!
So, yes, that's the issue with laws: they only protect what you remember to write. They're not a silver bullet. But they can still be incredibly useful, because it takes a small law to protect against entire classes of bug, covering your entire codebase. For example:
LAW: "the sum of all balances in this contract must be zero"
This one liner would have prevented Ethereum's infamous "The DAO" hack, where millions were stolen and almost undermined the entire project. But if your laws are under-specifying or ill-specifying your intents, Bend can't do anything to protect you.
> I always wondered what held them back from building a meaningful networking business in the US.
It was just timing. Their networking gear was built on some very impressive ASICs which became commodity chips a few years later before they could grow. Arista, Juniper, et al ate their lunch using other vendors’ IP. IIRC it was Broadcom and Fulcrum that released the chips that killed them.
A lot of people in the comments say that the supposedly better examples in the article are still “horrible” because they can tell they’re AI and point to things that the AI did “wrong” and a human artist would do better.
That may be true if you’re working with a top of the line artist, but in my experience the average freelance designer online is significantly worse than AI. I’ve worked with dozens of budget friendly designers on Fiverr and consistently get way worse results than I’ve gotten from AI models. Will a great human designer produce better output than an AI? Maybe, but a small local event or business probably won’t have the budget to hire them or know where to find them. It’s cheaper, faster and easier to use AI to generate something that’s good enough for their purposes.
People also point out all the little flaws in the “good” examples and cite them as obvious tells that they were AI generated. I think it would be interesting to see if people could reliably distinguish between AI generated flyers and human made flyers. Sure, sometimes it’s obvious like when the AI adds those weird, cartoony people. But if the model is told not to create designs like that and stick to the styles used in the second half of the article, I expect people would have a much harder time distinguishing the human designs from the AI designs.
LLMs are vectorial databases with losses that index statistically filled data, which uses a text interface to query such statistically filled data. The output is a string concatenation (statistically concatenated bit by bit).
When the LLMs are queried (prompted), you can get random mixed data as output, ERRORS, due to undesired indexes getting closer at one point while the string was being concatenated for the output, what affects the rest of the indexed content that will be concatenated.
It is intrinsic to this tech. The larger the context, the greater the probability of get mixed data. And if the provider lowers the precision of those indexes -in order to decrease hardware resources and energy consumption- such probability increases to the point where those errors are granted.
Even knowing that the queries can return wrong/mixed data in the responses, errors, the companies developing this, decided to introduce a new product, that connects such LLMs outputs to the command console, latter connected to internet, raw 'eval' running commands from such outputs witch obviously can contain whatever mixed random. Then we started to hear "oh, it deleted my directory", etc, and it seems the next one will be "a missile killed my wife", because it is a text concatenation engine with errors.
To name it "hallucination" is an euphemism... those are errors, and they are granted to happen at one moment. If they do not know this, then they ate too much marketing without doing their job, or it was a convenient contract for the pocket$ of someone.
this is such a funny comment, we are so tech-pilled that we forgot companies traditionally pay dividends and that’s the reason to invest, to share in the profits, not to speculate
