itissid

Any system no matter how well intentioned will outlast its usefulness and eventually dies. I think the key is to see it in the moment and immediate future — Serbia's Gen Z's GDP/GINI/what-have-you is a good yardstick to measure that. So its kind of weird to say we believe because every time something like this is tried it really is different and whatever you/I believe in _never_ lasts even our lifespans.

In a muddled political system(democratic or otherwise) today its about power and how is it balanced. When Nandan Nilekani was creating India's UIDAI(the national aadhar system), he insisted that he would only do the project if he was given a cabinet level post[1]. His is one of the few technology examples to succeed in India when most large government run projects are a disaster. ISRO is probably another decent example of success. I think Nilekani succeeded because he had a clear moral compass and a defined goal.

But there is a problem with kings, soon they have an asshole child. Metaphorically speaking at least. UIDAI is being used stupidly enough like an SSN now and in ways it was never meant to be.

[1] https://www.newyorker.com/magazine/2011/10/03/the-i-d-man

I think de-googling is itself has its costs. I've been waiting for a better solution to email. On a related note fundamentally I think the incentives to keep email infra alive is linked to the same incentive rooted in the core belief held by companies/services that ads work.

If there was an inflection point to break that perception — like covid gave a pause for thought for location based ad targeting — and hence the incentive, perhaps we can kick email as one of the ideas whose time has come.

I am rooting for ATproto to be the replacement.

Has anyone tried https://tangled.org/ for simple projects on their home server? Is it easy enough?

In any case running an agent framework in anything but a strict environment like openshell or a VM with a non rooted container and with a firewall out side of that containment is the definition of stupidity.

I am ratting this out to the Tree Beard

Proton engineering culture always got a bad rep pre-AI era as well(per their glassdoor reviews[1]) . Poor engineering directly or indirectly makes them susceptible to data breach because good talent stays away. One reason why I hesitated moved to proton back when a lot of people did. My understanding is that the only reason they are in the game are because send email services are extremely difficult to run.

[1] https://www.glassdoor.com/Reviews/PROTON-Reviews-E13574.htm

So if you want to judge as a customer for selection and figure out how likely a new(ish) PaaS company going to get breached, how would you evaluate them?

1. Ask them about what percentage of their own resources goes towards cybersecurity, audits etc. Would they even tell you.

2. Technical stack maturity. If the details are available, because they won't reveal any of it to you.

3. Other signals: Do they give talks on platform security, who is incharge of their cyber security.

How is that ever going to work out? The speed of discovery for LLMs is so fast, these places are getting breached more often than not due to a human errors. Its really hard for machines, let alone humans, to guard against a lot of LLMs going against them 24x7.

Has someone read this and Pearls in Graph Theory and can tell me which one they liked more as an intro? I found the former a lot of fun and was a good introduction for high school math grade. I saw a few problems and they looked just a bit beyond, but not by much! A bit of probability theory is well within e.g. Exercise 3 in the "The “cop-and-highway-robber game” asks the probability of a robber getting caught were they to choose an edge to rob and one of the vertices of that edge was chosen by a cop. Fun.

It's latent but not like impossible to comprehend latent. No?

if I understand taking LLMs as an example certain neurons will fire based on certain motifs, then one can change the phrases or sentences around that motif and _predict_ if the same neurons would fire.

Like if I said "I like cars, but I like rockets better. Can you suggest some rocket models to fly?" and Neuron X fired every time it saw a `, but` and attended to what followed it, that would give you a good way to _understand_ when it changed and what might have caused it.

My understanding is that this is now clearly visible behavior.

Ive read 1/3rd of it. It's long and I will read most of it. But This is good news from a safety perspective no?

If its grouping circuits based on motifs and when they fire — and it applies to large networks — then one should be able to literally query or debug a reconstructed database and check against actual activations. More importantly If this was a hand-wavy thing to do earlier for safety, it's not anymore because it's on more solid ground using Normal Science.

Coding was not the main application before ~Dec 2023, the same way the light bulb was not the main use of electricity for a long time. Meta for better or for worst is good at discovering new use-cases for their products(however bad they are for society is a different debate) and pivot if they are not - remember the Portal device( https://www.meta.com/portal/ ) ? Good hardware, decent usecase, killed within a ~year of its release.

> So why would you lock yourself in...

Many people don't even know what locking in means. The crowd in this forum < 1% of the world do, you and I do, and maybe a few outside. There are only laymen outside of 99%. No one i know of knows or uses a harness. They don't know the large number of VMs built on say Hermes. They really don't care or have time. If you give them a ready made product thats a click away, and its good enough, they will use it.

How paranoid should one be of, say for example, a wasm vulnerability exploited on zero day by a bad JS ad?

I am scared for my parents to get exposed to this kind of thing from bad ad network actors. Does anyone have some practical concrete recommendations they took? Like I don't think they can install ublock origin and whitelist sites on demand in Firefox they way I do.

The only practical thing right now is to make sure they don't have the money on device and have 2 fac for email and bank accounts. But every now and then there are phishing attamepts that they could fall prey to.

I think a lot of people in this thread are openly dismissive: "oh its just open claw, anyone can and many have build that".

I think what they are missing is the fact that there are not that many teams in the world that can deploy muse like product to A/B test a lot of hypothesis at the scale meta can at scale. I mean even if you could get to scale with DC you need a reason for people to use your product.

My mom and dad and their family have never heard of Claude and don't use chat gpt except once in a while as a search engine. But meta will figure out a way to insert this into modals and feeds to make people stumble and stick on it.

I am no meta fan, but I think people underestimate how fast product uptake there is for non Dev harness.

This exactly. The "harness" for consumer is not well defined but likely quite sticky if someone can build one. Meta is better positioned with its reach of whatsapp etc unlike anyone to try this.

Meta being meta, will likely run this as an "experiment mode" for 6 months to an year and if it does not work scrap it all and move onto the next thing.

There is a risk ofc muse does not work. But there is a good chance that with the ridiculous number of product teams doing A/B testing with insane number of people already on it, something will emerge that is interesting in a way it never could for their erstwhile Ar/VR foray.

I asked a dentist once how long they went to school she said ~8 years. I asked "Should it take that long to become a dentist". She sighed and nodded as if tacitly acknowledging how ridiculously long it is for what they do. I guess some specializations may need you to go through intense training. But do all of them?

This is the funniest thing ever.

I do home improvement projects (I've in wall built-in storage, benches and nooks) I am on a clock and i have very little room in which to work. The only tool I have relied on https://www.cutlistoptimizer.com/ I have found that the CAD based tools to be pretty much beside the point for _most_ wood working projects for hobbyists, for a few reasons:

1. First several 3-d design iterations are throwaway reworked because I am constantly measuring the design, clearances and studs. And paper works best here instead of working with clankers which takes way longer.

2. Choosing the right kind of materials: thickness and type of plywood, type of hinges, panels, finished or unfinished. Optimize for simplicity of putting components together is most important.

3. Once the design settles the actual joinery needs to be as simple and efficient e.g. butt joints work well most of the time. A good jig for pocket holes is generally the most needed. You will be surprised how well a staple gun works for creating back panels of cupboards.

Its not that they are not useful, shopspec looks great(good job variodot), its just that I can get further and faster without them for most hobbyist pursuits. I invoke YAGNI most of the time because I constantly ask myself one question: "How can I make this be less time consuming?".

Here is some data for example from a macro standpoint https://x.com/Brad_Setser/status/2110415047268933826?s=20

The trade surplus of Taiwan, China, Korea, Japan etc including chips has been sky rocketing. This is like Bill of materials(BoM) and it's at least 3-4 trillion in chips for AI alone, summing it up over the past 3 years.

For what it's worth Michael Burry is pretty much short on the entire thing. At some point(I think mid 2027) those data centers bankrolled by loans will have to start paying rent to investors who bought those loans.

If companies that are basing X% of their future earnings on new AI based products don't pay up a bunch of those data centers are not gonna be re-leased. It's gonna be a problem. An seasoned analyst can take educated guesses as to what that X is: investments made in pure chips by Nvidia/AmD vs how much capital investment— not VC — Faang(i.e ones that are just using the chips for building software) are putting into them. The difference between investment devoted to pure DC build out minus what they are spending is a good proxy to understand the overinvestment.

Why is the comments from the OP marked as flagged or dead at the bottom?

Do you think the R1 you got can actually be taught to clean dishes and put them in a dishwasher in their specific sections? I see it doing so in https://www.youtube.com/watch?v=k1JIyXM5qGw

Awesome, now only if i could get my hands two of those robotic hands and make myself my dish cleaning slave...

There is currently an effort underway to improve the bound. They have reached at a much larger kappa around 0.001635527380375392

https://github.com/CrocSwap/integer-mult-bounds

Have not used it but try finding in the settings if you are somehow in a GK(gatekeeper which is there A/B testing framework)? there may be an experiment of somekind you might be able to opt out of..

Its actually a bit funny. A lot of privacy initiatives were actually part of deprecating code and data that became liability issues post cambridge analytica and covid(think location data, if no one goes anywhere no need for that org right?).

I think the only way meta can care about privacy, if any, is if it becomes socially taboo (lawsuit, WSJ/NYTimes report etc).

The clearest quantitative evidence of this is their P/E, its lower than others relative to its forecast earnings because of all the legal risks that need to accounted for.

Congrats on the launch!. Looks awesome. One small gripe I have is that the user success stores seems obviously like claude has written them. I cancelled my claude sub for codex, partly because i cannot understand claude's style at all - not that there is anything is wrong with it, its effing incomprehensible.

Compare the two yourself and judge(latter is written in gpt-6 luna).

> One client is one API call. It comes back as an always-on Hermes agent that holds that client’s data, that client’s identity, and a hard ceiling on what it can spend. It answers on an OpenAI-compatible endpoint from the moment it boots, so integrating it was a base URL, the same as pointing at any model API.

> Boon provisions an agent for a client with one API call. Each agent has its own client data and identity, along with a spending limit. It exposes an OpenAI-compatible endpoint, so Boon can connect to it by configuring a base URL.

very cool. Congrats on the launch. first half of 2026 was the year when every one made such internal tools one way or another. I am happy you guys could build a product out of it.

The cool thing is even though this tool addresses a few, use case for reducing cognitive load, they happen so frequently that they add up.

I think they key with cognitive load is that the agents often produce a lot of trace/docs etc, in the end only a small % of the traces really are important to the final changes, because concise changes are typically very small and self contained.

One thing i see this becoming important with is maintaining internal tooling built using this. I maintain an internal docs system that helps me do designing before i build code, that docs system is completely vibe coded and i can add features to it very fast, but now its all grown up. A challenge then is can i understand just enough about a new proposed change to approve it? That is key to the doc system not becoming a burden in of itself, while maintaining a tight core feature set.

Classification models lend themselves to sparsity and explainability. The good ones are very simple and economic to run on a laptop. If someone told you before 2022 that a json classifier was a product you would have laughed it off.

To add to this the more difficult problems in classification done on scale have always been about collecting "good" -ve examples, enough data to calibrate on every confidence interval and debugging outliers. And those are solved on a case by case basis by the company pursuing its own peculiar version of the problem.

Am I the only one who thinks this is just all hype?