Killer Applications Coming to AI Soon Round 2

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Killer AI Applications Coming Soon, Round 2

Last week, we saw the first round of killer applications. But today, things get serious. We are looking into two killer applications tackling serious problems in trillion-dollar industries.

One will dramatically pop one of the largest bubbles in existence today (I’m not referring to the AI bubble), changing the future of upcoming generations, and the other could put into question the jobs of thousands, if not millions, of people.

I’m referring to the corporate job AI tycoons are betting will be the first to fall. I will also provide an easy way to know if that’s you, how to prevent it, and how to assess other job types that could be impacted.

Naturally, I will point out which companies are most likely to eat the cake in each case and who will get their cake eaten, with one company uniquely positioned for success.

But first of all, I’ll prove how the industry is lying to you regarding the true intelligence of current AI, a no-hype filter of the crude reality of the industry today, and explain why this is finally about to change.

The Conquest of Reasoning

The last two years of the AI industry can be summarized in one word: compression.

Glorified databases

With the industry ‘stuck’ at the million ExaFLOP range of compute used to train GPT-4 back in 2022 (it was released in March 2023 but was trained the previous year), with Llama 3.1 405B only consuming 1.5 times more compute, the entire industry has been on the ‘GPT-4 intelligence’ level for two years.

Whether this is due to a lack of enough GPU install base or simply because we are hitting an intelligence wall, the reality is that the industry, especially in 2024, has focused more on efficiency.

In other words, we haven’t made AI more ‘intelligent’ (in fact, as we saw in a previous analysis we did, they aren’t that smart at all), but ‘greater in value per pound of weight’ (no pun intended).

Cynically, one could make a strong case that all AI has conquered in the last two years is memorization. In fact, ChatGPT can be reduced to a glorified database you can chat with (and, more often than not, be deceived by).

But this doesn’t mean we have wasted our time. This was a necessary step in our path to solving the real problem that AI needs to solve (and is finally solving):

It’s poor intelligence.

On the Measure of Intelligence

If you’ll excuse my boldness, after years of reading research of all types, I have a pretty nice idea…

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