dudus

And on the product side you have product requirement docs which was always useful when a new feature came up as it aggregated all contacts, documentation, support, communications, etc. You always want to work in a product that maintains a decent one.

On these previous comments it seems like no one bothered to try it. I wonder if we'll get some people with some better feedback this time around because the product does look stunning.

That's exactly what Terraform and Redis did.

The open source license is designed to guarantee your liberties. The moment you start to remove some liberties you have neutered it.

Because historically they made money selling managed version of their services.

Now GCP, AWS and Azure just sell a superior managed version for cheaper. So they lost their income stream.

Open source products tried to change the license so the big guys would at least have to pay them something to make money on their work.

I could never get into nix on Mac os. Maybe it's a different thing if you use nixOS but I'm not willing to make that jump.

It seems the clear barrier to entry to nix is UX and to an extent the custom language they use. Maybe this problem can be solved with LLMs. We need an LLM fine tuned to write nix language.

The stock was at $31. The $80 level was just shortly after the IPO. They paid fair market price

The cost is supposed to go down as LLMs become more efficient and hardware efficiency goes up with time.

Their biggest competitor release a model. They must follow suit.

This is exactly the type of license Redis tried to move to when people got upset and forked it twice.

"Essentially Apache with restrictions"

There's a crazy theory that negative AI posts are foreign agents or even big tech trying to slow down progress of AI so they can catch up.

Everyone has the same agreement. Duck duck go is grasping at straws here because their business model is completely crushed if they don't have a privacy upper hand or a competitive product. They will be forced into a pivot they can't succeed in.

He just posted an interview today.

https://www.youtube.com/watch?v=bc6uFV9CJGg

They are not exposing their super secret trove of data here. Meta can easily control a what the model can or cannot use.

It may have given it the ability to crawl the web and use datasets but only on the hosted version since it would be using tools through func calling.

True. But it's guaranteed to get worse.

With genAI on the rise it'll get harder and harder to spot real from fake.

It's unclear to me if the resulting product will be better or worse. But it will definitely be composed of more synthetic data than it is now.

I really like Astro and Quik.

If you want to take a step further start from a template like astrowind.

It's opinionated performant and works really well with react, Svelte, or any other fe framework. You can even mix and match them.

But for what you are looking for you are better served by combining it with firebase or a firebase clone.

But how will Reddit fend off the increase of fake content from bots?

I have a sliver of hope AI generated content will actually be good one day. Just like I believe automated cars will be better than humans. I have nothing against reading content that was written by AI, for some of my reading.

The fact the game has no items, no power ups, no levels, no enemies. Just one question: what is going on? And your job is to figure it out. Knowledge is your only way forward. Unfortunately that means the game can only be played once and any spoiler will ruin it for you.

Aren't passkeys ready for prime time yet?

Ouch

""" Earlier today, a public relations firm working with Sisense reached out to learn if KrebsOnSecurity planned to publish any further updates on their breach (KrebsOnSecurity posted a screenshot of the CISO’s customer email to both LinkedIn and Mastodon on Wednesday evening). The PR rep said Sisense wanted to make sure they had an opportunity to comment before the story ran.

But when confronted with the details shared by my sources, Sisense apparently changed its mind.

“After consulting with Sisense, they have told me that they don’t wish to respond,” the PR rep said in an emailed reply. """

Having tried all 3 (Gemini, chatgpt and Claude) I'll agree with GP that 1-2 years seems conservative if anything.

I don't think AI will be won on the model but the tooling. Google is arguably ahead.

The models I'd say it's a toss. But it doesn't matter as before the year is up all of them will release new versions one-uping each other. It's a race to the bottom. They either collude on price or most will go bankrupt.

Edit:typo

They are already in the water, and they are not going away, hence the name.

yes

eg: https://g.co/gemini/share/2d77c73c2ad3

As someone that hates email and text messages I'd totally trade my time spent in meetings and writing or reading emails for watching and making videos.

Searching within videos is a solved problem for Google.

Agreed. I ran a few tests and observed similarly that threats didn't outperform other types of "incentives" I think it might some sort of urban legend in the community.

Or these prompts might cause wild variations based on the model and any study you do is basically useless for the near future as the models evolve by themselves.

I thought it was cheap. It said last tickets. I don't know ... that was stupid.

It looked interesting at first. But when I started to research more I didn't find any buzz.

I reported the event to eventbrite

I just signed up for this genAI summit but the lack of social buzz and the profile of the organizers give me a strange feeling.

https://genaisummit.ai/#/

I'm afraid this is might be a fake conference created by AI. Am I crazy? I paid $500 for tickets. I almost signed up for the booth.

I'll have to start emailing speakers for confirmation because it's not passing the smell test.

Opinions mine based on learning from scratch this space in the last couple months only.

I feel like these architectures built on top of last gen LLMs are mostly useless now.

The current gen jump was significant enough that creating a complex chain of thought with RAG on last gen usually is surpassed by 0 shots on current gen.

So instead of spending time and money building it it's better to focus on 0-shot and update your models to the latest version.

Feeding LLM outputs into other LLM inputs IMHO just will increase the bias. Initially I expected to mix and match different models to avoid it but that didn't work as much as I expected.

It depends a lot on your application honestly.

It's definitely quite popular inside Google itself, where all sorts of small and one-off systems are built and deployed entirely in AppsScript.

And it has had significant updates as well. The newer runtime is based on V8 using some clever way to isolate the code. Previously they used Mozilla Rhino as the runtime because it was easier to sandbox, but it was also very frustrating to work with.

Now the DX is much better with more recent and performant executions and a better UI.

If I sound like a sucker it's because I am and building with Apps Script is fun even with its limitations.

While Power Platform in comparison might be 100x more powerful for all I care and I still wouldn't touch it with a 10ft pole. Most frustrating experience I ever had.

I do find myself painstakingly repeating tests after every commit no matter how minor it is.