skysight-inc/HackerNews huggingface dataset:
That's a pretty grim outlook, but I honestly can't poke a "hole" in its logic.

Well stated, somebody's clearly done their reading on Marxist theory :)

I've been struggling recently with limitations on "managing upward" I've seen thus far in my career -- eventually incentives become aligned such that no "good" manager that represents their employees well to leadership and says "no" when necessary has stuck around very long. I suspect it's largely systemic but I appreciate the way you've highlighted why.

The only cases I've seen where incentives align in favor of the rank and file employee tend to be ambitious projects as "growth" opportunities -- but of course this tends to be more often than not in the form of "experience" rather than necessarily higher "pay". Good managers still try to proactively find opportunities and make sure the team keeps growing. Eventually you "fix" the pay part by switching jobs, but I do wish we had a better system where I could just be "loyal", grow expertise in a relevant area, and be fairly compensated without having to worry about basic things like healthcare.
If you are assigning me some rights or an entire piece of IP, I must provide you with some consideration (monetary compensation) for that to be a valid contract. You cannot simply “gift” it to me.

So I would, as part of the contract, hand over $1 or $20 to establish that I have skin in the game and have paid for this contract be valid. The consideration could be stock and other things, but it can’t be null.
This doesn't make any sense. The LLM knows the token to letter associations if you ask it. Once it has split the token into letters, it can answer the question anyway.

This tells us that the model is unaware of its own limitations, otherwise it would have figured that this tasks needs it to split the letters first.
A major AI washout is coming. I know a business owner of a niche and highly profitable product for medical billing, and he added an LLM feature to auto-write and correct notes in the record. Small feature, definitely valuable, but his own engineers did it themselves with open source software trained on their own data. No third-party was involved.

I have no idea how all of these companies will make any money. The funding is washed because it comes from the owners of compute, its stipulated to be used only for them, and then the money comes right back. What insane nonsense this bubble is, and we will look back in a few years like we did for the dot com crash of the 90s.
Show HN: I built a really fast writing app that finds connections in your notes.
I have been working on building thinkdeli.com for the past few months in my work break. It started with an aim to build a really fast app that would also let me write offline. I shared it with a few friends, they seemed to like it. I kept building and I have DAUs now :)

thinkdeli.com is a zero setup writing and publishing app powered by AI.

thinkdeli uses semantic search to find patterns in your notes and surfaces the most relevant notes as you are writing, real time. There is also an AI writing assistant that helps you brainstorm and write better. You can also chat with your notes and ask questions like - "Based on my therapy notes, recommend some books that will help me".

The part that has been surprising for me is that people love to publish their notes. After talking to users, I built an entire reading section in the app - which supports likes, comments, subscribing, etc.

thinkdeli supports traditional features like tagging, backlinks, etc. It also supports *Markdown*. It is a rich WYSIWYG editor.

I used react, nextjs, tiptap, yjs, transformers.js (huggingface) for creating embeddings using an LLM. I am using OpenAI APIs for the AI assitant features.

Would love to hear feedback, and suggestions.
> The hard thing about this

I see what you did there.
> How can these companies be certified and compliant, etc., and then in practice have horrible SDLC?

Checklists ?
Just my anecdotal two cents: what you're saying simply does not match my life experience. The model bit is debatable, but the predicted outcomes are demonstrably false for me and a lot of people I know.
It’s hard enough to debug SAML as it is, I can’t imagine debugging artifact binding without having full control of both the SP and IdP.
Addendum: For those who are interested in a wider range of computing topics, some of us from Libera IRC network have formed a computing literature reading channel named #bitwise. See https://bitwise.codeberg.page/ for the connection details.
OpenAI is so hot and already makes so much revenue, it can raise money at the snap of a finger.

I wouldn't hold my breath at this tweet.
> In many cases I could use sed or awk to replace each other

I always felt that way too. I don't do a ton of command line processing of stuff now, but got pretty proficient with them back in day specifically for a unix class in college. A lot of the seemingly simple command line tools have overlapping feature sets or can be coerced into doing extra stuff.
I stopped communicating with political entities at all, other than to reply STOP; roughly three years of patience with this approach reduced the torrent of spam to an acceptably-minimal trickle.
Important for some consistency algorithms, for example Google spanner. (Not necessarily advocating for those algorithms)
> and certainly don't move in the direction it appears to be moving.

I hereby dub this the Ridley Scott's Prometheus Rule
“ The method requires repeated random assignment of managers to multiple teams and controls for individuals’ skills.”

That’s an extremely extremely demanding condition very unlikely to be satisfied in practice, IMO. Even conditionally exogenous given covariates is hard to swallow.
Ukraine had physical control of these weapons. They handed them over in 1994, 3 years after the fall of the USSR for assurances Russia would respect their borders.

More generally a handful of soldiers isn’t the full might of a countries military. Bribes, blockade until they run out of supplies, or just shoot them.
Sign Git Commits with SSH Keys
Well that's it then, we're gonna die
Rebooting San Francisco Royalty: Emperor Norton Meets GenAI
Lessons from CrowdStrike's Global Outage
How do you normalize for prestige and clout chasing to actually get quality though?
I'm honestly glad I am not (no longer) seemingly the only one thinking this. When I read the reactions to Scribe, I was a bit surprised there wasn't much skepticism/concern about that.

While I applaud their transition to being a Non-Profit/Foundation, the "tech fad chasing" of the last weeks definitely concerns me about Proton, looking at the backlog of "common sense" additions and even the lack of proper Linux support.

While it will be fine for most users, I'm more leaning to skepticism regarding generative AI and (pushing) crypto by a corporation. The former being due to copyright abuse, with the latter being a weird thing to push for in the current age where usages of blockchain are met with skepticism instead of hope.

I'd recommend looking into Tuta (formerly known as Tutanota). They recently got interviewed by Techlore indicating they wanna release "Tuta Drive". Seems to become a proper replacement for Proton, if you don't care about VPNs, crypto wallets or Cloud password storage.

All in all, Proton's features can be replaced by other services. Mullvad's well known for their straight forward "gold standard" VPN. Crypto wallets can best be held locally. Password storage got Cloud (Bitwarden) or local (KeePass and its derivatives in clients) options. Only "hurting" missed feature is Proton Docs, which launched not too long ago and is also missing quite a few features. Self-hosting or getting a service to host NextCloud is an option, however, but that'll eat into costs.
If you think Nadella will let OpenAI run out of money, you're dreaming.
I'm currently exploring

https://rakkasjs.org/ and https://www.convex.dev/
Consideration is generally money (but more generally and dangerously something actually received in exchange for giving away something else in the contract.) It can't be a binding contract if there is no exchange such as merely signing away the code.
In fairness, the geyser in question is Old Faithful, among the best-known geysers in the world, renowned for its regularity.

I’m not sure that it’s particularly more regular than most other geysers, but that’s what is known for.
If you enable Continuity, you have some good features like clipboard sharing. This is arguably the most useful computing features of the apple ecosystem, especially if you use your devices in different context.

Explore the Accessibility section in the Settings. That's where the useful customization options are.

If you have the storage space, let the Photos app on the Macbook store the photos locally. Way easier to deal with them as a bulk there than on the Phone.

You can store web apps on the homescreen by using the share button. If it's a pwa, it will appears like a real web app (Was great for Navidrome, Logitech Media Server, and Outlook).

Some apps have both iOS and Mac versions, like Bear, Things, Anybox,... Be sure to check the iOS counterpart.

Explore Shortcuts. While I prefer scripts on the Mac, they're good on the iPhone.
it's not just a message board, it's an influence machine.

They need to make sure the stuff they want people to think is posted often and has a big number next to it, they need to make sure things that people like are associated with the stuff they want people to like/think/do and things that people don't like are never associated with the stuff they want people to like/think/do. They need to make sure that people who say the wrong things are silenced or persuaded to leave, etc etc. Man they probably have at least one contact in at least one intelligence agency and they have to make sure not to run afoul of that contact.

Like the news isn't just a list of what happened recently, political debates aren't just two guys talking, and reddit/twitter aren't just message boards.
Personally, language diversity should be the last thing on the list. If we had optimized every software from the get-go for a dozen languages our forward progress would have been dead in the water.
You find a good manager the same way you would find a good IC: https://youtube.com/watch?v=QplyFXgIx7Q
Bitwise Reading Lounge
Stop celebrating the guy who brought spyware and ads to windows
The failure is ours. We built our infrastructure on top of crates of dynamite, and thought it was a good idea.

Seriously, who would run an operating system that requires trusting code by giving it ambient authority? We've known that was nuts since the 1970s.
This appears to have been published in 2015. Perhaps update the title with the year?
there is a term "gracious consideration" often used where i am.
rough translation is: "pretty please" [batting eyelashes]
Everyone in europe had to be fine with that for the whole cold war. Never understood the american hysterics during the cuban missile crisis. Like the END wasnt real before and after.Manifest destiny for exceptional Hipocrasy.
Maybe they're summarizing/processing the documents in a specific format instead of chatting? If they needed chat, might be easier to build using RAG?
There is nothing political about what I said.
Artificial Intelligence Research Might Have Hit a Wall (2018)
As someone with a decade of hands-on SAML experience, I highly recommend against implementing SAML. Use OIDC instead.

This article covers many of the reasons to avoid SAML: https://workos.com/blog/fun-with-saml-sso-vulnerabilities-an...
OpenAI has a strong "the real deal" feel to me.

I entered my credit card number and now I can get answers from the best LLM out there via a simple curl command.

I have tinkered with all the competitors, but none had low enough friction for me to become a paying customer.
Are there regulations regarding this? If not, then it's not that big of a problem.
The Myth of Open Source Large Language Models: A Critical Perspective
Alternatively, it's because the base platform has also devolved into unusability. Both Reddit and Twitter are in a position where their info is easily scraped, and their community is barely worth the advertising/paid-premium experience they demand from you. As both platforms continue to decline in quality, you might not even need to replace the original service. Both businesses appear intent on getting replaced.
Yeah, like Rockstar with GTA V Online.
> every major energy project announced, from Australia to California, uses Tesla megapack

I was nodding along to most of your comment but this part is a clear exaggeration. Many of the California BESS projects are using LG systems. For example Morro Bay, Edwards Sanborn, and Moss Landing, which are among the largest on the planet, all used LG, at least for some phases.
Fun with SAML SSO Vulnerabilities and Footguns (2020)
The difference you are referring to was already asserted in your first comment. I'm afraid whatever you were trying to add here is being lost. Unless you were, strangely, straight up repeating yourself for no reason?
Makes sense right? Otherwise why make a model so large that nobody can conceivably run it if not to optimize for performance on a limited dataset/compute? It was always a distillation source model, not a production one.
they are insignificant compared to cultural factors when you look at the huge variation in means across history and in various locales.

You have every variant of wealth and poverty leading to both increasing and decreasing birthrates so another culprit must be the factor.

it just isn't true that people are primarily motivated by money.
The next iteration depends on NVIDIA & co, what we need is sparse libs. Most of the weights in llms are 0, once we deal with those more efficiently we will get to the next iteration.
$20 consideration for reducing legal ambiguity around code they already own. Even if it's almost guaranteed to roll in favor of the employer, simply having to litigate it is enormously expensive. Such litigation would be detrimental to everyone but the lawyers, but that won't stop people from thinking they have a case.

I'm with you, companies will always look out for their own interests, but when clarification minimizes logistical waste, it's possible to benefit everyone.
Yes -- said another way, if you're an ML researcher and you have human-provided (scraped) data, and an ability to generate synthetic data, then until recently, you had a controllable parameter: how much of your training data for your new model should be synthetic? You can vary this, run multiple experiments, and choose how much synthetic data to use -- and you can vary the specific configs about how that synthetic data is generated.

If synthetic data is mixed into your upstream data sources in a way you cannot control, then your ML team loses a valuable controllable parameter.
I'm building a ai coding assistant (https://double.bot) so I've tried pretty much all the frontier models. I added it this morning to play around with it and it's probably the worst model I've ever played with. Less coherent than 8B models. Worst case of benchmark hacking I've ever seen.

example: https://x.com/WesleyYue/status/1816153964934750691
A set is "countably infinite" if you can construct a one to one mapping from the set to the natural (counting) numbers.

The natural numbers are of course countably infinite, but so are even numbers, prime numbers, fractions, algebraic numbers and lots of other kinds of numbers that people want to do arithmetic with. "Uncountably infinite" sets can't be put into a one to one correspondence with the naturals, no matter how you produce to produce such a mapping, it's always possible to produce a number in the set which wasn't part of it. Real numbers being the prototypical example of that, but the power set (the set of all the subsets) of the naturals is, also.

People do arithmetic with all kinds of things that "aren't numbers". Math isn't restricted to working with numbers.
But Gary Marcus will never run out of takes.
https://en.wikipedia.org/wiki/Peppercorn_(law)
In game theoretic terms all of this looks a lot like a Nash equilibrium to me and, as such, fells inescapable
OpenAI is not in the AI business. It's in the platform business. In other words, its biggest customers will make their own AI and LLM-based apps from the services that OpenAI provides.

As the first commenter said, they are the first to market with a service that's usable enough and cheap enough that regular people can now dream up their own AI apps and implement them quickly. This is a going and growing business for them and they're far ahead of any competitor. Don't expect to see OpenAI going away anytime soon.
Visual explanation of HTML shopping.
Indeed.All exponential growth curves are sigmoids in disguise.
John Mayall has died
Yeah, I won't dispute this at all. I've spent a fair amount of time forcing myself to develop expertise in SAML ... and it kind of sucks.

Any chance you'd share which libraries you used, if any? I'm really trying hard to compile resources that make SAML SSO less of a nightmare, and part of that effort involves tracking down bad documentation.
In practice, for production, it's best to leave it out to separate component, especially if you might end up having to run with customer-supplied certs
Yes, I'm redeeming the card, I'm redeeming the cards, okay!
That's great, but the video goes on to say that he hired a trained manager (an MBA) with zero experience in manufacturing to manage the Macintosh manufacturing team...

So, do as I say not as I do?
They still would have more of a right than the US not that it would be OK.
The flip side of this is that there is almost always a very small effect, even if you are testing a crazy hypothesis (there are very weak correlations between all sorts of things). So you can often get a ‘significant’ result just by using a huge sample, even though the effect size is too small to matter practically.
Yes, albeit a really expensive one. Large models like GPT-4 are rumored to run inference on multiple machines because they don't fit in VRAM for even the most expensive GPUs.

(I wouldn't be surprised if GPT-4o mini is small enough to fit on a single large instance though, would explain how they could drop the price so much.)
important to note that this time around weights are available https://huggingface.co/mistralai/Mistral-Large-Instruct-2407
What makes you think your interview practice is producing good managers?

You might be looking for them, but my conclusion after reading many "how we hire/interview" posts is most people do something and conclude it works - instead of testing. What if instead you put all the names of potential managers in a hat and drew one - what makes your process better (at least the hat selects for "lucky" people)
It’s not given to billions of people but a few thousand companies
Not the same, but I mailed a sweatshirt to a relative in Sweden from the US and it was like $36 and if I wanted it tracked the whole way it would have been something like $55. Granted this was USPS and maybe shopping it around would have been cheaper, but I had no idea that international shipping was so expensive considering you can buy stuff from china and shipping is basically free.
They spent 400M on R&D this quarter, which means more "personalisation"/ad targeting and probably cooking up some DOA chatbot/assistant product that's costing them a ton in compute
Exactly:

> Participants were recruited from the Essex University Economics Lab sample pool. ... The median participant was a graduate student with two years of work experience.

Hard to see how econ grad students play-acting boss says much about the kinds of long-term relationships / group dynamics that appear in the wild.
Maybe, if he keeps saying the same thing for enough years, one day it will actually come true!

> Remember how I said that deep learning was “hitting a wall” with compositionality in 2001, in 2018 and again 2022?

We get it. We really, really get it. We get it so hard I'm attempted to build a Gary Marcus GPT bot which only knows how to talk about how AI will never ever work and is doomed...any day now.

Talk about having your job replaced by a shell script...
Can you locate that post? In my own experience, Google Document AI has superior quality but I'm looking for something a bit more objective and scientific.
Ultimately you end up implementing whatever your customers want implemented.
This reminds me of Lord of the Flies. The real version of the events turned out very differently.

https://www.newsweek.com/real-lord-flies-true-story-boys-isl...
Hi! Thanks for your comment! The app does exist, and the video of the app is from real data! It’s our « admin app » and a « client app » just for end users is being developed
to be fair that's quite a weird request (the initial one) – I feel a human would struggle to understand what you mean
> If you think about evolution and hill climbing, of course it works.

You don't even need to go that far. How do most children learn? By reading textbooks and listening to lesson plans assembled by their teachers from all the relevant content the teachers have experienced.

Our education systems are built on synthetic data that is created for optimized learning, so that every child doesn't have to prove the universe from scratch to learn some basic maths.
When I was young, my brother knew a guy who was really into movies. If you wanted to know about a movie you couldn't remember, you would go talk to that guy.

For a while, the internet had an end-run play that made that guy less useful. You can just go on the internet for obscure movie information, buddy.

But now it seems like knowing a movie guy is going to be the only way to get a real person's opinion on movies. The internet is about to forget everything without a profit motive and just start telling you that the latest product from a monolith corp like disney is the only movie worth watching. If someone scrapes all the useful movie opinions off of reddit and spends their time crafting it into a usable format, that guy's probably got a company. But not Bill. Bill's just a guy you can know or not know. You can't monetize knowing Bill. Sidenote that's probably why it irked me so bad when some bozo coined the phrase "social capital".
Are the symbols assumed to be compact? I guess their closures obviously are, and the closure of a symbol should be indistinguishable from the symbol.