This is probably something that will be fixed with an OpenAI to "some chess AI"-plugin. Then for the current model it's just enough to understand that it's a chess problem.
Maybe, but my point is that if it's this bad at understanding chess, which a fairly simple and objective domain, why should we have confidence it has understanding in other domains where it's harder to prove wrong answers wrong? We aren't going to be able to come up with specialized plugins that fix its mistakes in every conceivable domain. The amount of trust people are putting in the current models seems to indicate that they think it's roughly at a human level of understanding, which doesn't seem to be the case. And if we are actually trying to solve the problem of general intelligence, we can't just sweep things under the rug and say "plugins will fix it".
We created this learning path with a SaaS/online marketplace Product Manager in mind, so it is based on our own background. Depending on the underlying technology and industry, you might replace the technology and design fundamentals with specific knowledge and skills required in your industry.
Rollout has started at the beginning of June and now they have rolled it out to 100% of the users. This makes me very happy because Asana was the last of my regular tools that was still in light mode.
The mission of store2be is to build a global market network that enables brands to book targeted, measurable and scalable live communication events.
To further improve our web apps for tenants and store owners we are searching for a Javascript/Frontend/React/Redux Developer https://www.store2be.com/de/jobs/tech
