People don't like to hear this but the open models just aren't good for end to end agentic workflows.
There are some very very good small open models that can excel in certain finite bounded tasks, but the foundational models are essential to building out agentic pipelines that actually work.
>And most of the time I see some basic workflows. Summarizing Slack. Answering emails. Doing scheduled scans. Performing research and booking something. Sending emails out of Claude.
This alone will improve the lives of so many people. The real issue with AI commentary is that everyone is guilty of the hedonistic treadmill. We constantly need it to do more and more to get that sense of awe.
>And as others have pointed out, other departments and agencies (such as the IRS) have most of the rest of the data required to make policy decisions.
There are laws in place forbidding government agencies from merging together datasets.
The last thing people should support is creating of profiles of individuals by combining data from different government agencies. This is why the census is so important as a data collection mechanism.
>Kalshi and Polymarket are mainly just sportsbooks.
How? They sell contracts between two users. One side each. Completely different from a sportsbook where users are betting that the lines they set are not correct.
Also risking it all for some distilled models is a recipe for disaster.