alphabetatheta

Some of my friends have been using: https://app.vivalabs.ai/ as a more managed/paid service recently

To quote the majority opinion: "Testimony or private records of the President or his advisers probing such conduct may not be admitted as evidence at trial." Sounds almost impossible & a pretty definitive statement.

This is a terrible take. The Supreme Court case severely limits even the use of evidence to prosecute a President. The majority ruling says that as long as something is done in "official" capacity the intentions don't matter.

EDIT: This ruling probably retroactively clears Nixon from Watergate. It would make it illegal to use the tapes as evidence against him.

What were the core workflows at google you guys were looking to replace ?

This is a neat idea but where do you see this being the most useful ?

Pretty surprising that the FTC decided to go for something like this.

Surprised some folks did something so blatant and obviously stolen!

Posthog has been a fantastically useful tool to understand how our product is being used! Don't get some of the hate - any OSS company will probably embed some telemetry occassionally.

Why are people still using Ory Kratos? It's still incredibly confusing documentation. Large fan of projects like: https://supertokens.com/ that focus on making authentication workflow implementation really easy.

The main question here is how soon will the model architecture improvements come. I fathom it won't be that long till OpenAI or Google come up with something better. The tricky piece here is that these companies will now keep their models more proprietary to make profits. Can a competitor company figure out an on par or better model architecture in time?

I've commonly seen companies create secure by default programs around there deploying there Infrastructure (terraform/cloudformation templating). Maybe some companies do this with packages and vulnerability management. While its commendable to try this, until an organization is pretty large very little effort will be put into making secure by default design.

Are there any great examples of cost efficient LLM application deployment at scale?

The hardest part here is the tradeoff between architectural complexity as you build systems and speed of shipping product. Earlier stage companies will ship ship ship and ignore good architecture practice. At some point, it will come back to bite you if your company lives to see another day.

The investment is all about the vision LangChain proposes & I guess they have 20K stars and a decent amount of users.

This book should have a component on K8s & the cloud.

China picks which loans to give based on geopolitical importance. This is a fantastic way to wield soft power of the US, India, and other Eurasian countries. Moreover, it also reduces reliance on the dollar.

I'm actually surprised how much dairy products contribute to global warming. It's only veganism that really cuts down on carbon emissions.

I wonder how much we can extend this to image or video labelling tasks? this could really jeopardize the business moats of lot of data labelling startups and services.

Such a tool could be used if there were regulations around its usage in police stations and proper auditing of its use. Seems like we're far from it. I hope it doesn't fall into the hands of foreign adversaries.

Some of the best programmers have come across had their origins in OS and compilers. This is where the real programming and fundamentals are built.

What lot of folks are missing here is just how easy it is to add "AI" to products for large companies. The APIs are prevalent and easy to integrate with. Right now we're in the hype cycle, but soon people will be finding and reporting on all sorts of limitations and security issues.

Hey HN! I've been building a unified API for permissions, user activity, and configuration information for 100s of SaaS applications.

This can help answer questions like:

- Does user X have read permissions to Google Drive file Y?

- What are the recent failed login attempts to Salesforce.com?

Extracting this information from each SaaS application individually requires manual downloading of access logs, screen scraping, and other cumbersome work.

Some potential use cases include:

- An enterprise search company determining if an employee is allowed to view a particular Google Drive document

- A SaaS security company monitoring login activity across SaaS apps

- A SaaS spend management company determining if there are multiple unused licenses to Zoom

I'd love to hear any feedback you have or feel free to reach out at founders@ironleap.io.

Neeva is trying to do better than Bing. Also, Neeva does not do ads.

Your father having a mini stroke at a very young age does sound to be like a pretty important risk factor. Family history is super important in these situations.

The stuff looks super cool, but it still looks kinda beta. When will it be available?