Nobody asked for an LLM response for every single search.
They used to detect certain types of queries and offer direct answers when the query matches. In my opinion that’s how Gemini in search results should work.
1,229 karma · joined June 15, 2023
Nobody asked for an LLM response for every single search.
They used to detect certain types of queries and offer direct answers when the query matches. In my opinion that’s how Gemini in search results should work.
I can't forgive them for failing to do any monitoring whatsoever.
They gave powerful models with no guardrails access to the Internet and didn't monitor it.
Even the slightest bit of monitoring of their outgoing Internet activity would have immediately given it away and they could have shut it down.
They were asleep at the wheel, and that's just plain negligence.
In a lot of occupations the skills you learn in college are real and meaningful. If you don't have the skills, you can't do the job. You can't fake it 'till you make it if it's painfully obvious to your coworkers that you don't understand basic concepts.
Also, you're comparing the number of engineers working on one product, to the number of engineers working at Shopify across their entire company today, which includes far more than just one app.
You're entitled to your opinion that Shopify is a poor app or that it's overengineered, but clearly it's not simple. That's just a fact. If it looks like a simple app to you, that's because you're not seeing most of it.
It's like looking at the YouTube mobile app as someone who watches videos and saying that the app frontend looks simple. You're only seeing 5% of the app. The other 95% is for video creators and advertisers, and it is decidedly NOT simple. I think that's the same here.
The cockpit voice recorder transcript has the copilot repeatedly saying "we're coming in too fast" but the pilot never clearly acknolwedges.
The copilot ought to have been more assertive and said "We need to go around. NOW."
The pilot shouldn't have needed that. He should have made the call himself, but even if he was unsure, once his copilot called that he should have done the right thing.
Neither of them will ever fly again. The only question now is if either of them will go to prison. There's already a civil wrongful death lawsuit against them.
Technically it’d work just as well to have a thin API wrapper or cli tool the agent is allowed to access.
But compared to the average adult? I think you forget just how bad at writing the average person is.
If you ask a non-programmer to install Claude Code, just installing it will be a challenge, then opening the shell and interacting with it. Things as simple as copying and pasting can present roadblocks if you've never used a shell before, and things intuitive to programmers like using up-arrow to go back to a previous prompt would never occur to someone in the field.
Claude Code seems so simple and natural of a UI to programmers, it's easy to forget how much it builds on.
Here are just a few examples I found of evidence in just a few minutes of searching:
https://slate.com/technology/2005/11/the-open-source-movemen...
https://www.wired.com/2014/07/tech-time-warp-ms-matrix/
https://www.latimes.com/archives/la-xpm-2002-dec-26-fi-micro...
The legal questions were always overblown. The concern Ballmer was raising was that if you incorporate a bit of GPL software into your own, then it could "infect" the rest of your code and force you to release more. But that's ridiculous because nobody is forcing you to incorporate GPL software into your own. There was no serious legal concern about simply using Linux - Microsoft was just trying to scare people.
Is Microsoft a different company today? Yes, in many ways. They're much better about open-source software, for sure.
I still think they're anticompetitive in many ways. Their marketing team still prefers to try to spread lies about their competition (e.g. Chrome) rather than promote their own product on its own merits.
Google may be a big bureaucracy now, but launch approvals and processes are there for a reason.
Let's say you have a site that fetches content from a database. If you Save As, then at best you'll get a local copy of an HTML page with JS that loads the content from the same remote database. It might not work (since the local copy has a different origin), or if it does, it requires you to be online, which defeats half of the purpose.
What this project, and SingleFile, both do is save a snapshot of what the rendered page actually looks like at that moment in time. The scripts are stripped out so it runs locally and has no external dependencies.
Oh, wait
I did so many interesting experiments with MapReduces that would run overnight.
For a while, I would even build internal services that were basically "free" because I'd just run them all at priority 0.
Over time those services got less and less reliable as overall usage started to increase, so I was forced to either justify the resources or scale back - but that was a good thing.
I feel like something similar would be a good model for AI token use: big tech companies ought to have their own self-hosted LLM data centers to power their own needs, then let employees use off-hours capacity to experiment.
Outside of experimentation, we should be encouraging token efficiency for everyday tasks. Rather than having a certain number of tokens, engineers should be evaluated based on how much they actually get done.
Using a lot of tokens to automate a process that used to require hours of human labor every week? Good use of tokens, should be encouraged.
Using a lot of tokens to debug an easy frontend bug that could have been fixed by hand, and still took you 4 hours to complete? Waste of tokens, should be discouraged.
I'm using a brand-new MacBook Pro with a high-end M5 processor, and this site is extremely unresponsive for me. Huge latency between clicking and getting feedback.
It also breaks accessibility.
The QR code use case seems far more reasonable to me, you're generating a static image.
However, even out of that 80% of my time, what fraction is actually spent "writing code"?
AI can be an enormous accelerator for the time I'd normally spend writing lines of code by hand, but it doesn't really help with the rest of the work:
- Understanding the problem - Waiting for the build system and tests to run - Manually testing the app to make sure it behaves as I'd like - Reviewing the diff to make sure it's clear - Uploading the PR and writing a description - Responding to reviewer feedback
There are times when AI can do the "write the code" portion 10x faster than I could, but if it's production code that actually matters, by the time I actually review the code, I doubt it's more than 2x.
If you want Apple-quality headphones to go with your MacBook Neo, the USB-C Earpods are $19:
I've never seen a bank offer that feature via their website.
I've tried them all and I keep coming back to Claude Code because it's just so much more capable and useful than the others.
Of course, no question El Cap was technically far more challenging.
They had amazing talent. Seriously, some of the most brilliant engineers I've worked with.
They had a huge team. Hundreds of people.
It was so ambitious.
But it seemed like such a terrible idea from the start. Nobody was ever able to articulate who would ever use it.
Technically, it was brilliant. But there was no business plan.
If they wanted to build a new kernel that could replace Linux on Android and/or Chrome OS, that would have been worth exploring - it would have had at least a chance at success.
But no, they wanted to build a new OS from scratch, including not just the kernel but the UI libraries and window manager too, all from scratch.
That's why the only platform they were able to target was Google's Home Hub - one of the few Google products that had a UI but wasn't a complete platform (no third-party apps, for example). And even there, I don't think they had a compelling story for why their OS was worth the added complexity.
It boggles my mind that Fuchsia is still going on. They should have killed it years ago. It's so depressing that they did across-the-board layoffs, including taking away resources from critically underfunded teams, while leaving projects like Fuchsia around wasting time and effort on a worthless endeavor. Instead they just kept reducing Fuchsia while still keeping it going. For what?
They invested BILLIONS of dollars on things like:
* Firefox OS * Mozilla Persona * Mozilla VPN * Firefox for TV (e.g. Amazon Fire) * Lockwise * Mozilla Hubs
Did anyone ask for those things? What a huge waste for all of that to be built and abandoned.