threeseed

7 ms·

91.
by threeseed 1y ago
> but aren't you taking on full liability when using it Of course. And if you were to do something stupid like take your hands off the wheel it would constitute reckless driving. Which means in an accident your warranty is void, ins
92.
by threeseed 1y ago
At least you are aware that you are an increased risk every time you drive. Which means when you do inevitably kill someone and ruin the lives of their friends and family you will be culpable and spend a long time in jail. You are morally o
93.
by threeseed 1y ago
Because this is almost always just the fault of some low level engineer trying to save some time rather than some systemic issue at the heart of the company. The company will just apologise and the CEO will make sure to tell everyone they k
94.
by threeseed 1y ago
> There’s a good chance he’s fully aware — and totally fine with it Why would you think that a CEO would involve himself in matters like this ? Especially given that whichever aerospace company it is would be far more concerned with issu
95.
by threeseed 1y ago
Elizabeth Holmes has an 11 year sentence and banned for life for building anything like Theranos again. Not sure what more accountability is necessary. Unless you want to get involved in who she dates.
96.
by threeseed 1y ago
Here is a link to the patent that Haemanthus is working off: https://www.nytimes.com/interactive/2025/05/10/business/Haem... Note that it doesn’t reference any of Theranos’ patents so any relationsh
97.
by threeseed 1y ago
You are providing the illusion of trust though. There are a multitude of components between my app and your service. You have secured one of them arguably the least important. But you can't provide any guarantees over say your API serv
98.
by threeseed 1y ago
> The only way to guarantee privacy in cloud computing is via homorphic encryption No. The only way is to not use cloud computing at all and go on-premise. Which is what companies around the world do today for security or privacy critica
99.
by threeseed 1y ago
> Confidential computing has been around a while, and we still don’t see widespread adoption of it, largely because of the difficulty This is not the reason at all. Complexity and difficult are inherent to large companies. It's beca
100.
by threeseed 1y ago
But nobody wants you as a service provider. Everyone wants to have Gemini, OpenAI etc which are significantly better than the far smaller and less capable model you will be able to afford to host. And you make this claim that the cloud prov
101.
by threeseed 1y ago
Cloud providers aren't going to care too much about this. I have worked for many enterprise companies e.g. banks who are trialling AI and none of them have any use for something like this. Because the entire foundation of the IT indust
102.
by threeseed 1y ago
Scala would be the best given that its type system is formally modelled: https://infoscience.epfl.ch/entities/publication/6c6bb09d-a4...
103.
by threeseed 1y ago
You can install apps on fridges, cars etc. I guess you're driving a computer ?
104.
by threeseed 1y ago
> I expect an interface to be consistent after working for 9 years Even if that interface is insecure and harmful to users ? As an industry we've learnt a lot about how apps siphon and sell your data. And I appreciate this probably
105.
by threeseed 1y ago
Often it's because setting up a David versus Goliath story is good for business. Spotify did this all the time where they would complain about Apple not allowing them access to some private API and then when they did didn't even b
106.
by threeseed 1y ago
a) Notarization is an automated process to check for apps that would compromise the integrity of their platform. It doesn't care about the content or type of app you're building. b) Apple is charging a fee for their SDKs similar t
107.
by threeseed 1y ago
Far more to AI than just LLMs. I am talking about more traditional models.
108.
by threeseed 1y ago
There is no one cancer but we are working to cure as many variations as we can.
109.
by threeseed 1y ago
Which is actually a problem AI is perfect for.
110.
by threeseed 1y ago
Yes they are. I've worked with hundreds of Data Scientists and every one had the ability to work on different problem areas. And so they were working on models to optimise truck rollouts or when to increase compute for complex jobs. If
111.
by threeseed 1y ago
a) Enterprises have almost entirely moved away from self-hosting software. GCP Marketplace is fine but I would probably also look at a Kubernetes option as many companies have GKE clusters. b) It won't be 5x faster though and I wrongly
112.
by threeseed 1y ago
You may want to look into DataMechanics who is another YC startup who tried something similar. They were acqui-hired by NetApp. If I remember they focused on SME space because in enterprise you will likely struggle against pre-allocated clo
113.
by threeseed 1y ago
I've used GPU based Spark SQL for many years now and it sounds flashy but it's not going to make a meaningful difference for most use cases. As you say the issue is that you have an overall process to optimise from getting the dat
114.
by threeseed 1y ago
Apache DataFusion Comet also exists which is similar: https://datafusion.apache.org/comet/ Both are stop gaps though since optimised SIMD accelerated Vector support is coming to the JVM albeit extremely slowly: https:
115.
by threeseed 1y ago
You should try using an S3 based shuffle plugin: https://github.com/IBM/spark-s3-shuffle Then mount FSX for Lustre on all of your EMR nodes and have it write shuffle data there. It will massively improve performance an
116.
by threeseed 1y ago
> A lot of BigQuery users would be surprised to find they don't need BigQuery. No they wouldn't. a) BigQuery is the only managed, supported solution on GCP for SQL based analytical workloads. And they are using it because they
117.
by threeseed 1y ago
Many of us have been using GPU accelerated Spark for years: https://developer.nvidia.com/rapids/ https://github.com/NVIDIA/spark-rapids And it's supported on AWS: https://docs.aws.
118.
by threeseed 1y ago
Which has absolutely nothing to do with what we are discussing: General content versus personalised, targeted, actionable and specific content.
119.
by threeseed 1y ago
But this isn't about normal people. It's about people who maybe easily susceptible or mentally impacted who are now provided with direct, personalised instructions on how to do it, how to get away with it and how to feel comfortab
120.
by threeseed 1y ago
The people who work in Safety teams I am sure don't consider themselves liars who are only doing it to hide over the fact that deep down they want to censor your experience. At one point people thought DeepFakes were relatively harmles

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