VIDEO

How to Get Signalmaxxing Out of Tokenmaxxing

The debate is tokenmaxxing vs. signalmaxxing. Val agrees with both sides, then reframes the distinction. For every token you generated yesterday, you need a second for quality and a third for security — that’s 3× tokens, non-negotiable. But you don’t have 3× the power, 3× the budget, or any latency to give. So the move is getting signalmaxxing OUT of tokenmaxxing.

Transcript

Hi, everyone. This is Val Bercovici at WEKA. And some interesting conversations around tokenmaxxing versus signalmaxxing. And some articles recently in the Wall Street Journal and i-SCOOP.

One article says burn more tokens and the other says optimize signal per token. Both sides are right and both sides are also debating the wrong layer.

Here’s a part nobody’s saying out loud. For every token you generated yesterday, today you need a second one for quality, and you need a third token for security.

Cybersecurity isn’t a nice to have anymore, especially in the age of Mythos. AI has to guard AI, and it has to do it in real time.

So the number of tokens you actually need today is three times what you had yesterday. Now the adults in the room already know what comes next.

You’ve got three levers: accuracy, latency and cost. We’ve been calling this the AI triad for more than a year.

Accuracy is non-negotiable. A wrong answer is worse than no answer at all. Latency, you can’t trade because security runs at the speed of the attack. Which leaves cost. And cost is exactly where the math breaks.

So tokenmaxxing is just burning more tokens, which means higher costs. That’s wasteful, akin to putting a bicycle wheel on a Porsche.

So here’s the move no one’s naming. It’s not tokenmaxxing or signalmaxxing. It’s getting signalmaxxing out of tokenmaxxing. More tokens and better tokens for the same power, the same the same GPUs. So more is more.

In this case, call it maximaxxing.

Essentially,we want cars to go fast. We want cars to go far. We just don’t want to sacrifice mileage. The memory wall is where the next trillion tokens Scale that wall and the math works again.

How we get there is context memorymaxxing.

And none of this should be a surprise. I wrote about Tokenomics in January of last year, 2025, I said the winners of the AI revolution would be the ones who drove down token costs without compromising performance. The market just caught up.

The winners in this era won’t be the ones who spend the most. They’ll be the ones who wasted the least.] This is Val Bercovici with WEKA. Catch you next time.