Not an apples to apples comparison#. iOS uses way less ram than android, plus has memory compression. That’s why Apple gets away with less ram and much smaller batteries with equal or better performance.
# pun intended
HN user
Not an apples to apples comparison#. iOS uses way less ram than android, plus has memory compression. That’s why Apple gets away with less ram and much smaller batteries with equal or better performance.
# pun intended
It works great for a number of reasons
- it’s functional making it much easier to reason about for LLMs (eg no side effects)
- it’s compiled (including the html template), so the LLM get instant feedback if something is off and can fix it quicker
- it’s more concise than other frameworks (language, framework, no front/backend split) and consequently you hit the max token limit much less frequently
- it has excellent tailwind support
I told a business partner to just use claude for certain tasks a year ago, and it failed miserably in python where it succeeded in elixir/phoenix liveview. This was a regular occurrence. LLMs have obviously progressed since, but the principle still stands that they work much better in elixir than python.
So in short: it’s great and arguably better than most other languages and frameworks
I disagree with that conclusion. I see tailwind as a cleaner more succinct version of css that is much easier to manage and add features too.
Sure it’s not as dry, but I’ve been bitten in this regard because css framework and templates are so intransparent, preventing me from simply changing padding or margin.
CSS is too detailed and too verbose. Frameworks like bootstrap are too high level and don’t give enough control. Tailwind hits the sweet spot whilst allowing me to be detailed if I want to. It allows me to just get it done.
Unsure how true that is. Google cloud is tiny compared to aws for a reason.
It matters. People will switch if you piss them off.
But how? In the states you can’t even take legal action but are forced into arbitration?
Munich is a bad example - they were effectively „bought out“ by Microsoft by investing hugely into the local economy in the form of offices and employees. It was also two parties that kept flip flopping with different priorities. Linux itself had some hiccups but was fine from what I recall.
Had similar thoughts until googling what the cheapest Chromebook on Amazon costs: $139.
I’d still get a Neo and for students it’s probably the right choice - chromebooks are just a browsers after all.
But pricing wise this laptop is a decade too late. The netbook of the day (chromebooks?) are just unbelievably cheap. Apple will still sell millions of these and keep on eating up market share.
Tidewave.ai does exactly that. It’s made Claude code so much more functional. It provides mcp servers to
- search all your code efficiently - search all documentation for libraries - access your database and get real data samples (not just abstract data types) - allows you to select design components from your figma project and implements them for you - allows Claude to see what is rendered in the browser
It’s basically the ide for your LLM client. It really closes the loop and has made Claude and myself so much more productive. Highly recommended and cheap at $10/month
Ps: my personal opinion. I have Zero affiliation with them
They do bin their chips. Across the range (A- and M-series) they have the same chip with fewer / disabled cpu and gpu cores. You pray a premium for ones with more cores. Unsure about the chip frequencies - Apple doesn’t disclose those openly from what I know.
All in one of course. That’s the biggest advantage. And why postgres is great - it covers virtually all standard use cases.
Depends on the query and I don’t have exact numbers of the top of my head, but we’re talking low 100ms range for something pgvector itself wasn’t able to handle in a reasonable amount of time.
I’ve been using this since early this year and it’s been great. It was what convinced me to just stick to Postgres rather than using a dedicated vector db.
Only working with 100m or so vectors, but for that it does the job.
Apple probably wouldn’t have changed to usbc for their phones. Lightning was a mobile phone / other development, whilst usbc and its contributions came from their Mac department.
They did not like each others standards. I know Apple engineers working on the phone who dislike the change even up to this day…
Truetax | Senior/Staff Software Engineer - Elixir/Phoenix LiveView | San Francisco (Hybrid) or REMOTE (US) | Full-time
Truetax builds software to streamline government tax administration and make society more equitable. We're working with state and local governments to modernize their tax systems using GenAI agents and workflow automation.
We're looking for a Senior/Staff engineer who can ship fast while maintaining quality. You'll work directly with our co-founders (experienced entrepreneurs with multiple venture-backed exits) to design and build cutting-edge GenAI-powered systems.
If you're curious, self-motivated, and energized by complex government workflows, we'd love to hear from you.
For full details and to apply please visit: https://wellfound.com/l/2BLYjJ
The beta has been accessible to the public including the electron devs for 2+ months.
Curious what the better frameworks are these days? Are they tied to specific hardware like arduino was? And what language do they use?
Instagram is the same. Had to install it for a dev project and it was disgusting. Social media just can’t be trusted.
Just do both? Need an adequate network for that though which new school ai vibe entrepreneurs might lack…
I've been using elixir / phoenix / liveview for a year now, basically since LLM coding has been a thing and it's been transformative. The usual "getting started" problems were so diminished that i feel like i hardly missed a beat. The usual "this won't compile / how do i do this in a new unknown language" issues that previously could have taken hours to resolve were basically gone. My LLM pair programmer just took care of it. Coming from python / django / cue, it's a breath of fresh air. It's so much easier as all the paradigms come built in with the stack (async workers, etc). The elixir / erlang library is surprisingly complete.
With regards to producing code, it seems to be doing very well. The most impressive thing it did for me was a PDF OCR from scratch using google cloud. All i had to do was plug in my credentials, hook up the code and it just worked. Magic.
Highly recommended.
No reference here but found this out the hard way too. Google search Ali is Utterly useless in fact and entirely different search results vs using the web. Bing is better. Haven’t tried ksgi yet
The question should be the other way around: why mongodb? It’s not ACID compliant so has major down sides…
It’s actually much more that the ozone layer, which filters uv, is much thinner than it was even 60-70 years ago. The ozone layer might be growing again, but at a very slow pace.
Simple fact is, we’re much more exposed to uv than prior generations.
That’s entirely unfounded. There are more than 100 daily flights between the Bay Area and LA metro.
That’s ridiculously high demand.
https://simpleflying.com/san-francisco-los-angeles-flight-ma...
Truetax | Head of Data Operations | ONSITE | Full Time | San Francisco, CA
Truetax, Enterprise AI for Gov Tax Administrators, is seeking a Head of Data Operations who will support the execution of the company's mission - to drive efficiencies of tax systems. You will work alongside the co-founders (multiple venture backed exits; Oxford/Harvard grads) to set up and manage a distributed team of para-legal writers, support teams and data analysts. We need a self-starter who is curious, self-motivated, relentless in self improvement and who can motivate all those around them. They need to be willing to get into the weeds to deeply understand GenAI system processes and train the team. They need to have a deep commitment to our mission and be ready to move fast.
Is macOS up to scratch to be used as a server these days? Last I checked it would always run into trouble / randomly reboot / become unavailable whenever a new OS update became available. Admittedly this is about 2 years ago.
If so, this would be great. Particularly to repurpose older macs.
It is. A bunch of Bart stops now have developments around them, just look at MacArthur in Oakland with its 40 floor residential building next to Bart.
Disagree.
Just get one of the tailwind UX kits and use their classes as your standard style guide. I personally use flowise as it’s free with paid more complex components if needed, but there are a bunch of others out there that fill the same space.
it's perfectly fine if everything can run on a single server instance. which is probably the majority of things.
i've run production instances with 2PB of data being scraped per month by 100+ CPUs and 256GB of RAM using docker compose. some of the machines (smaller instances) have run flawlessly with zero reboots for years on end. both on cloud and on-prem.
i'd say its 100% production ready.
So the problem is 1) port mapping and 2) backing up data volumes?
There are simple solutions to each
1) you simple have a separate docker-compose file for a different environment, ie docker-compose.dev.yml for your dev server. in this file you simply define the parts that differ from the primary / prod compose file. that way it's a simple command. line variable that initiates a dev vs prod vs any other type. for details see https://docs.docker.com/compose/how-tos/multiple-compose-fil...
2) this is literally as simple as running a small bash script that creates a backup, tars and gzips the file and then uploads it to an S3 repository. Sure, maybe not out of the box, but generally pretty simple. Likewise i'd always have a script that does the inverse (downloads the latest backup, loads it into the db and restores the files).
Not exactly rocket science...
I’m surprised how it’s only 30% cheaper vs nvidia. How come? This seems to indicate that the nvidia premium isn’t as high as everybody makes it out to be.