adespoton

Thankfully they don’t appear to have my number.

Obvious solution: build water splitters driven by natural gas.

The good news is that a lot of banks now offer free credit monitoring, alerts and controls because they know your data has already been breached. This allows you to, via your bank’s interface, take control of your credit monitoring instead of handing it off to an agency that profits from gobbling up whatever it can know about you.

Check with your bank to see what tools they have available for you.

This is a horribly written article about an exciting discovery.

Essentially, they’ve discovered that some humans don’t actually have the AnWj antigen, where it was assumed that all humans had some antigen configuration. And they’ve found a way to test for the missing antigens.

Spot-on.

I spend a lot of time training people how to properly review code, and the only real way to get good at it is by writing and reviewing a lot of code.

With an LLM, it trains on a lot of code, but it does no review per-se… unlike other ML systems, there’s no negative and positive feedback systems in place to improve quality.

Unfortunately, AI is now equated with LLM and diffusion models instead of machine learning in general.

Both the article and the pushback are kind of silly here — the dGPU’s heyday was over a decade ago, back when “serious gamers” had a custom built PC on their desk and upgraded their GPU every two years at a minimum.

Back in 2008, gaming on a laptop started to become a possibility, and dGPUs were part of that story — but for the most part, good luck swapping out your GPU for a newer model; it generally wasn’t so easy to do on a laptop.

THAT was the beginning of the end for dGPUs.

By 2015, I had a laptop with both an iGPU and a dGPU. eGPUs were just appearing on the market as a way around the lack of upgradeability, but these were niche, and not required for most computing tasks, including gaming.

At the same time, console hardware began to converge with desktop hardware, so gaming houses, who had for over 20 years driven the dGPU market, fell into a slower demand cadence that matched the console hardware. GPUs stagnated.

And then came cryptomining, a totally new driver of GPUs. And it almost destroyed the market, gobbling up the hardware so that none was available for any other compute task.

Computer designers responded by doubling down on the iGPU, making them good enough for almost all tasks you’d use a personal computer for.

Then came AI. It too was a new driver for GPUs, and like crypto, sucked some of the oxygen out of the PC market… which switched to adding iNPUs to handle ML tasks.

So yeah; GPUs are now for the cloud services market and niche developers; everyone else can get their hands on a “good enough” SoC with enough CPU, GPU and NPU compute to do what they need, and the ability to offload to a remote server cluster for weightier jobs.

I’d temper that claim with “first known circumnavigation” so that “history” doesn’t have to do so much work.

Also, has the Gregorian/Julian calendar switch of 1582 been taken into consideration?

You mean like the bipartisan bill that Trump tanked because it might make the Dems look good?

Aha! That episode with the ferns! Obviously they planted the ferns!

Yes; I wasn’t talking about how many plan to vote for Harris or Trump, but about the fact that in the current election format, not voting for Harris makes Trump more likely to win, as all other votes are protest votes that won’t actually elect a candidate.

Once FPTP is eliminated and states use a ranked voting system, your argument comes into play. But surely people in the LGBTQ community understand that not voting for Harris in this election means not caring that Trump gets elected?

I was very intentional in my wording.