u/BigBossN313

building the product is hard, but selling it is turning into a different job.

lead list, follow ups, inbox, crm notes, linkedin, reminders, bounced emails, random sheets.

for people building b2b side projects, how are you keeping sales from becoming a full-time ops role?

Looks more curated than usual. Anyone tried it and want to share?

During the World Cup, I spent more time comparing AI predictions. I've mainly been using SportEval AI to compare multiple models side by side, including both their predictions and reasoning.

Once the knockout stage started, I noticed something interesting. As more upsets happened, a lot of models became more conservative. When the probabilities for a draw and a win were close, they often leaned toward predicting a draw.

Qwen seemed to take a different approach.Instead of only looking at team strength, recent form, betting odds, or head to head records, it also looked back at its own prediction history.It mentioned that it had already predicted 14 draws during the tournament and believed this had become a systematic bias in its predictions. Because of that, it stopped using the idea of choosing a draw whenever the probabilities were close. Instead, it adjusted its decision boundary. When the probabilities for a draw and a win were similar, it became more willing to predict a winner instead of defaulting to the lower risk draw\.After the Netherlands and Germany were eliminated, Qwen was the only one among nine AI models that did not predict a draw for the Côte d'Ivoire vs. Norway match, and it ended up being correct.

That felt different from other models.Most models seem to improve their predictions by adding new information such as team form, injuries, betting odds, Elo ratings, or historical data, then recalculating the probabilities. Qwen looked more like it was updating its decision strategy. In other words, it was not only updating the inputs. It also looked back at its previous predictions, identified a bias toward draws, and then changed how it made later decisions.

It almost feels like the process is:

1.Review previous predictions and identify a prediction bias.Â

2.Decide whether that bias is affecting the results.Â

3.Adjust the decision rule instead of only recalculating the match probabilities.Â

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To me, this looks more like changing the prediction policy rather than simply updating the prediction probability.Of course, I'm not sure whether this is actually probability calibration, meta reasoning, or just a heuristic built into Qwen's reasoning process.

If anyone has looked into how Qwen handles reasoning, or has done any experiments on this, I'd be interested to hear your thoughts.

Planning to watch Mobile Suit Gundam Hathaway: Sorcery of the Nymph Circe tomorrow. I would like to ask for the peeps who've already watched it here. Is the movie in english dubbed or japanese w/ english subtitles?