If you don't mind Meta retaining your data, the "Contributor" pricing is deepseek-v4-flash-level of low, roughly 1/10th normal muse-spark API pricing currently. Attractive if you're OK with them retaining and using your data.

Texas is probably our national leader in terms of deploying solar and wind power, which feels ironic but is totally rational and logical.

Sadly, my investigations a few years back indicated that a suitably strong and robust 2-axis tracker that would withstand our local winds and snow loads is significantly more expensive than just buying more panels and facing some of them east/south/west to accomplish the same thing. Doing this on an existing shed also avoids some local zoning rules vs a dedicated ground mounted system.

Using LLM tools can greatly accelerate development when used effectively, it can enable much smaller high performing teams to be much more effective. But it's not magic and if you're holding it wrong it really can be a hindrance rather than a benefit.

Paid prompts are not used for training. Data retention is not entirely clear, they will keep it if they think you're breaking the rules, but it's not clear how long they keep it if they don't think you're breaking the rules.

If you have a desktop CPU with 2 memory channels and 2 DIMMs per channel, then the 2 DIMMs on each single channel share all of the address and data lines, there's just a chip select difference to pick which DIMM you're addressing. There is some extra loading on the lines, since you have 2 DIMMs, hence the supported speeds are usually slightly lower, but you only add 1-2 more actual PCB traces to have 2 DIMMs per channel vs 1 DIMM per channel. In contrast, adding another memory controller would add upwards of almost 100 additional PCB traces from the CPU.

This is one of the main reasons (the other is the number of PCIe lanes) why high end desktop and server CPUs have like double the number of pins and so much bigger sockets as compared to consumer desktop CPUs.

You’re right that traces can emit and receive RF, hence why things like FCC limits and testing exist even for unintentional emitters, but even failing devices which greatly exceed the limits have traces which are many orders of magnitude worse at being antennas than a typical trace antenna.

More Crescent Island scale up, although not likely entirely linearly.

But all GPU inference work like this, it’s not specific to Intel. Just Intel promises more affordable cards with big memory so they’re attractive.