What occurs when the AI race stops being about dimension and begins being about sense?
On this episode of Tech Talks Day by day, I sit down with Wade Myers from MythWorx, an organization working quietly whereas questioning a few of the loudest assumptions in synthetic intelligence proper now. We recorded this dialog through the noise of CES week, when headlines have been full of larger fashions, extra parameters, and ever-growing GPU demand. However as a substitute of chasing scale, this dialogue goes in the other way and asks whether or not brute drive intelligence is already operating out of street.
Wade brings a perspective formed by years as each a founder and investor, and he explains why at present’s giant language fashions are beginning to collide with real-world limits round energy, price, latency, and sustainability. We discuss overtly in regards to the hidden tax of GPUs, how including extra compute typically seems like piling complexity onto already fragile techniques, and why that method seems more and more shaky for enterprises coping with technical debt, vitality constraints, and lengthy deployment cycles.
What makes this dialog particularly fascinating is MythWorx’s perception that the following section of AI will look much less like prediction engines and extra like reasoning techniques. Wade walks by way of how their structure is modeled nearer to human studying, the place intelligence is realized as soon as and utilized many occasions, slightly than dragging across the full weight of the web to reply each query. We discover why deterministic solutions, audit trails, and explainability matter way more in areas like finance, regulation, medication, and protection than clever-sounding responses.
There may be additionally a grounded enterprise angle right here. We speak about why so many organizations really feel uneasy about sending proprietary information into public AI clouds, how non-public AI deployments have gotten a board-level concern, and why most firms can not justify constructing GPU-heavy information facilities simply to experiment. Wade attracts parallels to the early web and smartphone app eras, reminding us that the playful section typically comes earlier than the sensible one, and that disappointment is commonly a sign of maturation, not failure.
We end by trying forward. Edge AI, small-footprint fashions, and architectures that reward effectivity over extra are all on the horizon, and Wade shares what MythWorx is constructing subsequent, from quicker mannequin coaching to offline AI that may run on gadgets with out fixed connectivity. It’s a dialog about restraint, reasoning, and realism at a time when hype typically crowds out reflection.
So if larger fashions are now not the end line, what ought to enterprise and know-how leaders truly be being attentive to subsequent, and are we able to rethink what intelligence actually means?
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