spprashant

OpenAI only provided the 70% increase figure. The investors were assuming a $40bn base number, which the media then took to mean the ARR is now 70bn.

Its comically bad how this circus is playing out.

Clear path or no-path to citizenship I guess. The fact that H1B is a dual-intent visa muddies the water and allows employers to string along people for decades.

The US will do anything but have a sane worker visa program, with clear path to citizenship. The lottery system is built to be gamed and so is the performative local "hiring" attempts.

On the flip side it always surprises me how rabid HN can be about throwing out H1B workers. I am sure some of the people who you may have come across were not deserving of it, but a large amount of them work hard to come here and setup roots. Cancelling visas or deporting them will not get American workers their jobs back. Please spare a moment to consider the pain and anguish it brings to families.

> with clear path to citizenship.

Or no path at all. Tying the citizenship carrot to the visa and letting the employers hold the stick is the worst of all possible outcomes.

Its considered a dual-intent visa.

I don't mind the projects. Its the grandiose self-important posting that is insufferable. Not everything you experienced today is an epiphany on productivity or team-building.

Off-topic: That web page looks exactly like my vibe-coded utilities.

This is how I discover China has its own space station.

> When China formally requested to join the ISS program in 2007, Roscosmos and the European Space Agency (ESA) supported cooperation with China, but the Wolf Amendment, enacted by the United States since 2011, prohibited Chinese participation. That same year, China launched Tiangong-1, gaining rendezvous and docking experience.

10 years later, they had a fully operation space station. Say what you will, the Chinese are efficient once they set their mind to something.

While I mostly just do AI-assisted coding at work nowadays, after a long time yesterday I did some scripting in a python REPL on a remote server which didn't have any AI tooling. It felt rewarding. I was also surprised my programming muscle memory was still alive and kicking.

Just penalize the labs for rogue AI access of property like you would if a person did it. Make it difficult for them to be cavalier about running experiments.

They moved the goalposts. I think the landscape has changed since their initial Python superset pitch.

It seems like a deliberate pivot towards creating an AI-era language which make GPU programming as easy as writing Python.

I am finding the goal of the project at odds with the anti-local approach in the article.

I understand the point about people not wanting to be sysadmins - but surely hosting your Guardian Angel in a AWS data center has its own risks. Imagine how broken you would feel when us-east-1 goes down again.

> While I have found LLMs useful for researching and planning code changes, my attempts at actually making them write code have been quite lackluster. I found them to be slow and expensive to generate, for a mediocre result.

I think this observation is generally true for the kind of problems the author is working on.

But I would not make the leap to avoid using LLMs for any kind of code writing. LLMs do fantastically well in the 95%+ of the code that engineers spend time on. And for those we should leverage the technology.

It is upto us as engineers to figure out when to stop using LLMs. We are smarter than just dumping logs and half dozen specialized markdown files to a LLM and have it figure out solutions.

I agree with your observation. Although the framing of the question signals some of the response "Do you think.. " forces the model to check for the cost-benefits.

We can definitely mould AI agents to think more critically about these things, I dont know how effective it will be in the long term honestly.

The OS changes all the time, Apple/Google stop supporting an API your app relied on, security vulnerabilities get published, even stupid stuff like timezone changes can break a perfect app in strange ways.

I think we are moving from "can you build this product?" to "do i trust you to support this product?". Software is cheap, trust is a premium.

Developers and companies who put real care into their product will come out on top. A large part of that is going to be, what not to build - something AI agents will always say yes to.

To be fair, was always the case but its only going to be made more apparent as AI scales out.

I only see a hat under 3.5 Flash-Lite. Is it a model issue or a rendering issue?

For some reason it is not able to detect 64GB RAM on my Fedora Linux mini PC. It shows only 8GB.

I am just offering a different point of view, not disagreeing with the other experiences on this thread.

I d like to think I have fully recovered from confirmed Lyme diagnosis with Doxycycline for 14 days. I had fever and weakness for a week and lowest HRV reading my Fitbit ever recorded (7ms v 50ms avg).

Interestingly, I have a lot of symptoms like anxiety, sleeplessness, and brain fog even today, but I know for a fact I had it even before Lyme. It had peaked during the COVID times when I sat at my desk working over 10 hours on the regular because there was literally nothing else to do.

So at-least in my case it seems COVID was the trigger and Lyme didn't seem to move the needle much either way.

Yes the era of the no-fly list is coming to AI.

This is a extremely common issue that happens in growing firms.

You start off with everything in Postgres, it makes the most sense. Soon you realize some tables are growing really huge - usually some sort of time-series or log data reaching 10TB+. You can no longer fit it in one node. You can try you luck with some sharding extensions, but they add complexity to upgrades.

In that case it makes total sense to move these large tables off Postgres, and I think Clickhouse is a straight up replacement here. You can still keep your relational heavy tables in Postgres.

Yes it affects you ability to cleanly join data, and guarantee 100% consistency. With some smart application code, and schema design, you can replace parts of Postgres with Clickhouse for the big data problem.

If your data is too big for postgres, it seems like moving straight to Clickhouse is the best option. We have been through an whole array of distributed database technologies, and Clickhouse might be first one that doesn't have too many compromises.

Not ever profession has an insatiable desire to automate away their own jobs.

The Atlas Obscura version of clustering seems especially bad. The presence of the cluster circles with unchanged numbers, even after zooming in, is just plain wrong.

I have seen some better clustering implementations, which give good sense for whats inside the cluster if you click on it.

Generally agree that the stacked individual points are a much better approach on modern hardware.

The US really is just allowing all sorts of horizontal and vertical mergers. There is enough economic theory to suggest this is a net negative for consumers. We are powering through it anyway.

He is just being willfully obtuse to make a point. This has to be one of his weaker essays. He is trying to "gotcha" AOC by talking math instead of debating the larger point. The kind of thing he has himself argued against in the past.

I thought Amazon has a stake in Anthropic, and would want them to succeed.

This has David Sacks written all over it.

Are people really going to hurt by this? Opus 4.8 can do a vast amount of the same tasks at half the price. How many people are really doing cutting edge work?

Yeah I don't agree at all with this stance. I am as tired of capitalism as anyone else. But let's not pretend money is not important. Just like open source projects need money and funding to keep delivering.

I d rather donate $1 to 10 different blogs every month, than subscribe to NYT or Atlantic.

We do have people with real incentive to not allow self-driving cars to succeed.