Ever wondered if the latest AI models can actually crunch numbers like a pro mathematician? As someone who's spent years diving into the nitty-gritty of blockchain code—think Solidity smart contracts that power everything from DeFi to those wild meme token launches—I've always been curious about how AI might supercharge our field. Enter Hari Krishnan, CEO at Cantina and Spearbit, with a background in Solidity development. In a recent X post, he drops a quick but telling comparison that could hint at big shifts for crypto tech.
Hari's take? "GPT-5 pro is really good at math." Straight to the point. But then he contrasts it with Google's Gemini Deep Think, calling out that it's "not quite" living up to the hype of being akin to the International Mathematical Olympiad (IMO) gold medal-winning model. For the uninitiated, the IMO is like the Super Bowl for math whizzes—high schoolers tackling problems that stump pros. DeepMind's earlier AI hit silver medal status there, so the bar is sky-high.
This isn't just idle chatter. Hari quotes his own earlier thread where he tested Gemini Deep Think on five math puzzles. The verdict? Epic fails across the board, including one problem straight from the model's training data. "It tries its best to find an 'inductive pattern', but doesn't reason quite well," he notes. Ouch. Inductive reasoning, by the way, is that Sherlock Holmes-style deduction where you spot patterns in data to predict outcomes—crucial for everything from optimizing tokenomics in meme coins to verifying complex blockchain proofs.
Why does this matter for us in the meme token world? Imagine AI that nails math like GPT-5 Pro. It could automate the hairy calculations behind viral tokens, like predicting pump-and-dump dynamics or simulating yield farming strategies without human error. Tools like this might democratize meme creation, letting devs focus on the fun, cultural hooks rather than debugging quadratic equations in gas fees. On the flip side, if models like Gemini keep stumbling, we're reminded to pair AI with human oversight—especially in high-stakes blockchain deploys where one bad equation could rug a community.
Hari's insights, coming from a Solidity vet, feel especially on-point. His work at Spearbit audits smart contracts, catching vulnerabilities that often boil down to... yep, math mishaps. If GPT-5 keeps evolving, it might just become the ultimate co-pilot for meme insiders building the next Dogecoin successor.