chatmasta

Is the TAM for airlines finite? They ship an indefinitely growing volume of cargo and people. Reusable rockets will be no different. Cargo into space, people in point-to-point orbital flights and to Mars.

Right now it’s the same @icloud.com domain as normal personal emails. Now all auto-generated emails will use a separate domain name, so sites can block emails with that domain, without worrying about blocking people’s main personal email.

No, my legal theory is that you cannot simultaneously compare technology to a weapon and also say it falls outside the bounds of the 2nd amendment.

But it’s not that different from the whole premise of their red team scaremongering which was “we pointed the model at a source file and told it to find an exploit.”

Anti-jailbreaking and passport verified access to model families.

It’s a pretty safe bet that every frontier lab has multiple foreign intelligence agencies running assets inside of it.

So are guns, which we constitutionally protected. In fact there’s probably a decent argument that AI should fall under 2nd amendment protection.

It’ll be sorted out after OpenAI releases their next model.

Even Amazon does this. So scummy. This exchange rate trick should be illegal everywhere.

It’s logical consideration with “logical” meaning Spock style logic, ie utilitarianism at all costs. Another prominent EA is SBF for example. It’s designed to sound innocuous and many of its cultish promoters may genuinely believe it’s innocuous, but it’s not.

The company was founded basically out of the effective altruism movement.

Doesn’t PgDog also handle the sharding by proxying the writes? Maybe I missed something but I thought this is their value prop. It’s not just another PgBouncer.

The composition of the average transaction will be different in a shopping cart (lots of writes and updates) compared to your use case which sounds like it skewed read heavy. With Postgres it’s generally easier to scale reads because it doesn’t really matter which replica the query hits, as long as it contains the data it needs. Whereas write-heavy workloads route through a single-writer bottleneck.

There’s challenges scaling read-heavy workloads, for sure — but they’re generally more straight forward than scaling write-heavy workloads. You can get away with more dumb horizontal scaling than with writes.

What if the data goes to Anthropic EU servers?

Yeah it’s wild. But I think the attitude is more like “everyone is taking the same risks together, so we won’t be alone if the ship hits an iceberg.” Nobody got fired for buying Frontier AI.

Anthropic has all the answers for that. You’ll go through some compliance exercises and classify them as a subprocessor of highest tier of data sensitivity.

They give it some thought, but Anthropic and AWS have the whole menu of compliance and security checkboxes needed to reassure CISO it doesn’t need to be “the office of no” and can allow the AI onboarding. The pressure to adopt and adapt to AI is so high right now that there’s nothing a CISO or CFO can say to stop its adoption. And the more they say “no” or “wait,” the more at-risk they put their job.

Follow the Yugoslavia model and ship soldiers from each country to live and work with each other in their first years in military service.

Then again… Yugoslavia maybe not the best example here…

I see some deeply enthusiastic comments like this whenever it’s mentioned. I wonder how much lack of adoption is simply lack of awareness. Apple needs to find ways to make experimenting with it, and experiencing specific use cases, more approachable. I’m not going to go to the Apple Store to try it — I don’t care enough. Maybe one day I’ll happen to do that, but I’ve got enough social anxiety (which is a low amount!) to not want to ask someone in a busy Apple Store to let me strap the VR goggles to my face for 30 minutes of experimenting with a code editor.

Idk if there’s an easy solution to this — maybe shared setups distributed to WeWork type spaces or something… but I suspect it’s the main barrier to adoption, assuming even just 10% of developers would share the same experience as you when they try it for the first time. (Or maybe there’s also a learning curve where it sucks on first experience, and your body gets used to it only after some prolonged usage?)

They will, but they won’t realize it’s writing code. It will look like Claude Cowork, which writes code for itself under the hood but is results-oriented for the user.

What? They make money from their own inference and models too, which they can train effectively for free by funding their operations with rental income from their last gen datacenter.

xAI covers their cost of N-1 datacenter while running their own models in N and building out N+1.

I’d like to see less focus on Playwright and more focus on giving the agent more than just an MCP to browser automation. Make it multi-modal, figure out how to optimize when to send screenshots to which model, etc… current coding harnesses are awful at any UI automation because they’re just automating DevTools and occasionally screenshotting. It’s obviously robotic, it’s slow, it’s ineffective and makes it difficult for the agent to validate success of code changes.

Generalized computer use is what will ultimately solve this, but I think there’s real intermediate value in optimizing browser workflows specifically, as a medley of remote browser automation and multi-modal browser use.

Luckily for Apple, their primary competitor has managed to make their OS even worse. Windows becomes more unusable with every update, and on top of that, continues shoving telemetry and advertising into the OS. I installed windows on a laptop as an experiment and was shocked to see ads in the start menu. Who wants that?!

The best OS is probably something between Ubuntu and macOS. But nothing beats macOS on default, works out of the box, secure and usable and integrated with ecosystems of daily life.

Try messing with the settings more. Grayscale (or whatever it’s called) makes the transparency much more tolerable, or even _nice_, than with multi-color.

It’s also more palatable on iOS because you only have one window open at a time. Many of the complaints around Liquid Glass on macOS are focused on window management and issues that only occur with multiple windows on screen simultaneously.

I’m not sure they need novelty or moat. AI compute resources are so scarce that inference providers will buy whatever is available. SpaceX sells inference hardware in bulk, with a proven track record of running inference and training workloads at scale.

Grok does seem to have the best searching capabilities, and not just for twitter. I wonder what search engine they’re using on the backend.

Datacenter operators who rent space are selling electricity. SpaceX is selling a fully built datacenter with compute designed for a specific purpose. They’re operating at a higher level of the value chain and can charge accordingly.

Also weird how it’s all or nothing. Feels like it should just be a theme you choose for your OS.

When I download a new app on iOS, I immediately disable searching it and disable background updates. I hate the search feature and only use it as an app launcher when I’m accidentally not on the App Library screen.

On macOS, I also disable spotlight for everything because the indexing process has been the single biggest culprit of CPU spikes when it’s doing something insane like indexing a git repo. Again, I only use Spotlight as an app launcher.

I wish it were easier to opt into this “App Launcher only” mode. I had to really tinker with the settings to exclude everything except applications. And I’m sure I’m going to need to do it all over again after this update.