HN user
.Net developer
cbarak@gmail.com
Eventually they will kill the hyperscalers too because of privacy issues. It's better for a company to pay an uprfont cost and then run everything on premise that uploading their entire codebase to a third party service.
I removed the model and then removed Chrome too. Good effing riddance.
Around that time a lot of politicians in Greece had their phones hacked by Pegasus. It's an ongoing scandal in Greece that never got fully resolved, although all evidence indicate that it was an operation orchestrated by the office of the prime minister in coordination with the local intelligence service. So I wouldn't call that an attack against the European parliament.
Sorry to break it to you, but those aren’t marketers. Marketers can’t build shit. Those are all savvy developers who realized that they can take their talents to less competitive markets and harvest at scale all the low hanging fruits.
They bought at $1bn and made it an $80bn behemoth. Meanwhile, I don't understand why a company has to innovate all the time like it's a piece of cake.
Instagram is an $80bn company right now. I’d call that a success.
Do they have a CLI?
You can get an AMD Strix Halo with half that price even after hardware price adjustments. Besides you don't need 128GB of RAM to run a 27B model.
I’m more interested in how they do large scans without their ISP or hosting provider going bananas about it.
Very few people, but quite a lot of companies especially after per token pricing took effect and companies see their invoices skyrocketing. You pay an upfront cost once and you’re done.
I did that too. Ending up building my own reverse index with a fixed-size vocabulary. But that's my issue, you start building one product and you end-up building ten in the process to solve all edge cases because no one bothered to research how things scale.
I do a lot of work that is based on academic research, aka building a proprietary sparse embedding model. My issue with academia is that they don’t bother to solve the practical issues. They tell you how to build a PPMI model, but what about hitting a database that’s 500TB to find co-occurrence numbers? This isn’t even touched so you’d then have to go and invent a bazillion of algorithms yourself to make your life easier. So while the bedrock is based on academic research and we thank them for that, scaling anything requires a lot of work in uncharted territories.
That or uMatrix
How exactly is AI helping you with sports? Have you become a better athlete? Have you learned more about the strategy of each sport from the perspective of a coach for example? Care to elaborate?
Economist has drunk the AI koolaid. Pretty pathetic for a publication of their esteem.
Search for one is absolutely horrendous. It used to be great, but not so in the last years. Nowadays it’s filled with spam sites that they don’t seem to be able to filter out. And don’t get me started on the crappy AI overview that hijacks all queries.
Just today I tried a query for water filters and 1/3 of the results were ads. The other third were product pictures, or businesses in close proximity based on my ip. Then there was a box with related products/services, which was completely irrelevant to my needs, a second box with places, yet more product images and so on and so forth. Practically 70% of the real estate of the page was occupied by things I didn’t ask for. All I want is a list of relevant sites to go there and judge for myself. I don’t want Google to spoon feed me.
Raspberries are basically for DIY projects. I have one on my router handling call blocking for my landline. If it was costing $300 I would rather get a mini PC or use one of my defunct phones with UserLand on it. I can't see any world where a comparison to an entry level laptop makes sense.
Anthropic or OpenAI have no foothold into the mobile market. Google has integrated a shitton of AI functionality into their latest Pixel phones. That’s what would scare me if I was Apple and worried that if AI prevails this could steal some market share from me. The other two are irrelevant in this context.
When the music stops we could start buying hardware again at rational prices.
Even if we assume that everything you said holds true, how is that we as a crowd can make viable a service that eats some $300bn annually in infrastructure costs? Where would that money come from? Most tech companies these days are cutting their AI budgets because the per token pricing is killing them.
Nothing, they just work as intended. I bought a Fujitsu A/C that supposedly required registering through some app. Never connected it, and I removed the wifi kit at installation. Works like a charm no problem whatsoever.
I can only speak for myself. I mostly write C# and the code they generate isn’t of my liking. Too many var statements, async everywhere even for the most trivial things, and then a lot of times when I ask something difficult they fail spectacularly. I asked Claude the other day to propose an algorithm for Named Entity Recognition for brand names and all it did was to build a heuristics based on the type of business entities. And then in order to do that it went and created four classes. They overcomplicate things all the time for no apparent reason.
I built an Asterisk dialplan using Gemini a few months ago and it has so many hacks and quirks in it that I don’t dare touch it. I just leave it there hopping that it will keep working. I excluded Asterisk from future OS updates to avoid something fucking up that travesty of a dialplan.
Couple of weeks ago I wanted to explore an enhanced version of a PPMI algorithm that tries to flatten rare pairs. I went back and forth with all three major LLMs (ChatGPT, Claude, Gemini) and they couldn’t agree on anything. They kept changing each other’s algorithms all the time. The “reasoning” part seems laughable, it’s just a probabilistic infinite loop.
And that’s just for the programming part. Whenever I’ve asked them about SEO their answers are highly inaccurate. All in all I just don’t fucking trust anything they say.
They simply have no incentive. If AI tanks there's no sweating it, the cash cow of Search will keep printing money and no one is the wiser.
There’s nothing baffling to it. Windows PCs are upgradable. Apple won’t even give you a PCie slot on its $10k mac studio ultra to install a better network card or whatever.
GPU prices have gone 5-10% down in the last month.
Wow, this is fucking phenomenal. I fed it a long transcript asking it to create a summary and it executed it extremely well. For an 8B model this is quite impressive.
Tell me about it. I spent a week back and forth between four models (ChatGPT, Claude, Gemini, Grok) trying to enhance a PPMI algorithm. They couldn’t agree on anything. One was refuting what the other said. Eventually I decided to follow what Claude suggested because its explanations made the more sense.
What if their move is to make AI search horrible so that OpenAI has no moves left here because trust in the product collapses?
Give it a few years and the web will be AIs talking to other AIs ad infinitum