Of course it works exceptionally well when the instinct turns out to be right. But can end companies if it isn’t.

Not to mention it’s a reverse engineered version of the base game.

I'd take an army of high-school graduate LLMs to build my agentic applications over a couple of genius LLMs any day.

This is a whole new paradigm of AI.

They’ve all pretty much 5x’ed YTD. That’s completely wild.

News of a deal and hype was largely responsible for the rise. Now that the sentiment is cooling off, it’s dropping back to a more reasonable level.

Code assistance tools might speed up your workflow by maybe 50% or even 100%, but it's not the geometric scaling that is commonly touted as the benefits of autonomous agentic AI.

And this is not a model capability issue that goes away with newer generations. But it's a human input problem.

My team has been prototyping something very similar with encoding business operations policies with LEAN. We have some internal knowledge bases (google docs / wiki pages) that we first convert to LEAN using LLMs.

Then we run the solver to verify consistency.

When a wiki page is changed, the process is run again and it's essentially a linter for process.

Can't say it moved beyond the prototyping stage though, since the LEAN conversion does require some engineers to look through it at least.

But a promising approach indeed, especially when you have a domain that requires tight legal / financial compliance.

I am leading a small team working on a couple of “hard” problems to put the limits of LLMs to the test.

One is an options trader. Not algo / HFT, but simply doing due diligence, monitoring the news and making safe long-term bets.

Another is an online research and purchasing experience for residential real-estate.

Both these tasks, we’ve realized, you don’t even need a reasoning model. In fact, reasoning models are harder to get consistent results from.

What you need is a knowledge base infrastructure and pub-sub for updates. Amortize the learned knowledge across users and you have collaborative self-learning system that exhibits intelligence beyond any one particular user and is agnostic to the level of prompting skills they have.

Stay tuned for a limited alpha in this space. And DM if you’re interested.

I am not on SM, and I really cannot even imagine the peer?-pressure that drives normal, sane and reasonable people living in modern society to go after something so silly and be willing to part so much money for it.

I understand how it works with designer bags and watches etc where it's a signal for social status. But this bag? Come on.

Anyone know why? Or is it just that there is a positive feedback loop here of people wanting to buy this bag only to resell it for a huge return, and that causes the prices to shoot up. When really nobody actually wants to buy this bag to use? Sounds like a group-think ponzi scheme.

I feel exactly the same way. I recently bought my father-in-law an M4 iMac which he thought was a disproportionately nice gift for no apparent reason.

Oh there are some very compelling reasons for it. My tech support load went way down and he’s super happy. Win-win.

Every Tv in my home is paired with an Apple TV. I leave the display unconnected to the internet.

The day when TVs require an internet connection to show external inputs - that will be a sad day.

Or when they come with cellular modems.

My home internet is a fiber gigabit 3g/3g up/down. Tucked away under the staircase is where my fiber ONT terminates and it is my server room. I have half a dozen boxes running various things. 4 symmetric 2012 i7 mac minis running linux KVM, and hosting various critical services - pihole, home automation, Homekit Secure Video etc.

Then there a giant former gaming PC with 7 HDD bays running the entire storage backend for a whole load of GoPro/Osmo/Insta360 videos I capture. Rclone to Google Photos for back-up. I don't edit any videos. Just there to capture memories so I can at some point when AI tools get good enough just have it generate clips. Same box runs my plex server with HW transcoding.

Then there is the actual gaming PC, a mini-ITX running steam remote play. Has power, a network cable and a fake HDMI dongle that emulates a monitor to trick the GPU into thinking something is actually plugged in.

Basically everything I do with desktop PCs at home is via some sort of remote interface.

Remote gaming is probably the most demanding of all of these. Low-latency HW-accelerated solutions eg: Parsec / steam-link are incredible technologies.

I carry an AppleTV + PS5 controllers to friends' houses and play the latest games across the internet.

Then we injected the generated mermaid diagrams back into subsequent requests. Reasoning performance improves for a whole variety of applications.

The devs on this must be sleeping. F for not paying attention to your users’ needs.