alt Hacker NewsI think the advancements around models and such are still somewhat interesting but its all the hype around peripheral things like OpenClaw, agentic workflows and other hyped up AI-adjacent news that are getting pretty old.
I think the advancements around models and such are still somewhat interesting but its all the hype around peripheral things like OpenClaw, agentic workflows and other hyped up AI-adjacent news that are getting pretty old.
I think the workflows can be really interesting to read about. The other week I read a reddit post how someone got Qwen3.5 35B-A3B to go from 22.2% on the 45 hard problems of swebench-verified to 37.8% (opus 4.6 gets 40%).
All they essentially did was tell the LLM to test and verify whether the answer is correct with a prompt like the following:
>"You just edited X. Before moving on, verify the change is correct: write a short inline python -c or a /tmp test script that exercises the changed code path, run it with bash, and confirm the output is as expected."
Now whether this is true, I don't know, but I think talking about this kind of stuff is cool!