HN user
Has anyone tried this for things like Excel models and PowerPoints? And any reactions to how it compares to Claude?
I’ve seen lots of flashy examples, but a lot of knowledge work is not this, and more synthesis of sources and information in to structured content.
Re: common people, yes, and given all the talk of job instability AI is creating, why hasn’t Anthropic or OpenAI offered discounted plans for laid off or displaced workers? Wouldn’t this be a tangible way to display goodwill and build adoption?
Where does the harness come in to play? I'd love to use GLM 5.2 for general chat, but I don't know of any harness that offers an experience close to ChatGPT or Claude (e.g., history, skills, projects) without requiring a PhD to set it up.
I love your idea and wondered why saving and indexing browser visited pages was not being done. Does this handle large amounts of local files, for example 10-20TB across file types like Powerpoint, Excel, Word, and PDF?
How did the voting work? The first thing I thought was, what happens in a tie (2-2) vote?
I know less about the airframe differences across the -400 and -8, but I can say the 747-8 represented a major upgrade in Flight Management Software.
I re-wrote the Central Maintenance System (portion inside the FMS) in C from scratch because no one had the original detailed design documents. The original -400 code was written in Pascal if I'm remembering correctly. I gleamed what I could from the source and relied on unit tests to get the rest of the way there based on what I knew of the protocol itself.
The entire FMS software was completely re-written in C++ and using modern object oriented patterns (at the time). Probably the most fun I've had over my now 20'ish year career. Of course Boeing was pissed with the delays this caused because the airframe wasn't a major change. I'll quote a Boeing (from MD originally) executive as saying "Meeting this project deadline is more important than your child dying."
Sadly this was also the time I remember Boeing's engineering ranks began to thin out. Personal opinion, this was a large part of what led to the MAX situation.
I haven't kept up with the latest on supercomputing power, but I recall some years ago there being strong evidence that China had a couple of un-announced supercomputers that would have topped the charts. It makes me wonder what is publicly disclosed vs. actual.
Thought the same thing even before I saw your comment!
Wouldn't distribution naturally be the more expensive part vs. electricity generation given the latter is centralized and scaled? Perhaps this is a fallacy, but that is the thought that crossed my mind.
Is this at all similar to what happened with telecoms? For some reason that is what popped in to my head.
Is there any formal research in this space? I too have tried flavors of this approach, but I can't confidently say my results were better.
I worry its kind of like asking 2-3 different consultants what the optimal strategy is for your business...and I'm not sure merging the answers produces anything material better.
This strikes me as crowd-funded prompt caching, but with humans in the loop.
You mention cost in one of the replies. Can you elaborate on the cost profile (ballpark) for various problem types? I would also be curious to understand the strategies employed and what the costs look like across each.
I have a CSE847 and HP DL380 G10 that have gone down for me due to power outages. Many of these look complex, and I basically just need remote power-on/toggle capability. Should I be looking at something else?
Here is the reddit thread where passengers were live replying. I don't seem confirmation of what the Bluetooth device name was. There is one comment in there claiming the following:
"Wife is on the plane. Guy had a speaker named bomb. He just confessed to it. He said he named it forever ago and forgot about it. He’s 16 years old. Wife’s friend is sitting next to him as they are questioning him."
https://www.reddit.com/r/flightradar24/comments/1tsfu8y/emer...
"gets much more complex with scale" feels like the crux of it. Pick the right solution for your intended scale
That said, I appreciate this is hard in practice. We need to start small to manage the development rabbit hole risk, while also wanting to dream big. There is a tension there that I find hard to balance.
Moral flexibility if the term we use. Substance abuse is also, unfortunately, is a hallmark.
I'm out of my league on this discussion, but it reminds me of the Configuration Database (CDB) used for most modern aircraft.
Yeah, classic strategic mistake - lets try to attract a set of buyers completely different from our core base. The only thing that may save them, i.e., exotic playbook 101, is require core buyers to purchase one in order to get "the opportunity" to buy one oof its halo cars.
This will go down as one of the largest strategic missteps in history. I understand the intent on the surface, but this completely misses the boat and abandons the racing heritage that makes Ferrari special. IMO, design was never really an issue with Ferrari. The problem is Ferrari has begun chasing popular trends, e.g., 4-door, electric.
"Walker" here and glad to see so many others agreeing this helps them. I also talk to myself and find it incredibly helpful, despite my wife thinking I'm a weirdo.
I hope as leaders and future leaders we can create a culture more tolerant of these practices, changing the perception that "if you aren't at your desk, you aren't working."
How many retail investors plan to buy? The folks I hear most excited about this have equity from the startup/PE companies they were involved in and are treating it like a big future payday. Apparently there is a big Whatsapp chat for them to discuss it all.
My recollection is that retail investors end up losing in these situations. I'm personally staying away...feels too much like a grift, but I won't pretend I have some magical analysis to prove it.
How much of what is being generated by LLMs is actually value add? My perception is there are lots of great experiments, but little real value.
+ Developers are more productive, but are you all leaving work at 3p and enjoying a new found sense of work-life balance?
+ Companies are investing heavily in AI, yet I'm paying more for the same thing. Jamie Dimon still pays me 0% on my checking despite spending billions on AI.
It may be that simply adopting AI isn't enough. Could new startups that are born-in-AI buck this trend? I wonder what Clayton Christensen would say if he were still around.
Love it and used a similar approach to vibe a core banking application for a mid-tier US bank with ~$10B+ in assets. They plan to put it in to production soon. That said, I felt held back by the rest of the org. the entire time because they continue to work the old way...we could have delivered it in a fraction of time and cost.
Seems the same as a hotel - empty rooms benefit no one.
Dumb question: is preventing the module from loading safe to blindly run on, e.g., Unraid, Proxmox, WSL2? Is it possible to break anything?
It's good to know your experience mirrors mine. Developers are moving faster, but the rest of the organization is holding them back because processes and decisions still rely on other parts of the org. Has anyone else observed the same?
Organizations "born in AI" appear to buck this trend for obvious reasons (no legacy org. to deal with). My two cents.
Yes...but isn't his employment contract structured to incent this kind of move? His pay is 100% at-risk in the form of 170M+ stock options that only vest if he hits some astronomical targets.
I'm just not sure his rationale is completely objective given such a structure...
In your opinion, is the lack of attention on security due to speed-bias or not having the expertise? For a startup / sole entrepreneur with very limited resources, what would be your advice?
Interesting idea as someone who spent a lot of my career in aerospace and airlines. If I were running the transformation my initial shortlist would be:
1) Revenue/Route management: re-think the routes with a ruthless focus on sustainable routes with defensible margins.
2) Customer experience and Brand: being an LCC can't come at the expense of customers, i.e., the fare is so cheap we get to treat you like shit.
3) Capital-structure & cost base: you need to right-size the debt, fix liquidity, and ensure you have a durable cost structure (fuel-risk management, etc.)