The agent was able to create a very detailed documentation about the ZX Spectrum internals. I provided a few .z80 images of games, so that it could test the emulator in a real setup with real software. Again, I removed the session and started fresh. The agent started working and ended 10 minutes later, following a process that really fascinates me, and that probably you know very well: the fact is, you see the agent working using a number of diverse skills. It is expert in everything programming related, so as it was implementing the emulator, it could immediately write a detailed instrumentation code to “look” at what the Z80 was doing step by step, and how this changed the Spectrum emulation state. In this respect, I believe automatic programming to be already super-human, not in the sense it is currently capable of producing code that humans can’t produce, but in the concurrent usage of different programming languages, system programming techniques, DSP stuff, operating system tricks, math, and everything needed to reach the result in the most immediate way.
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What we see is that there are in fact two entangled traditions of “knocking on things for good luck”: touching iron, and touching wood. We also find that they are widely distributed, but also have a pretty clear cluster around the Mediterranean and Europe.
Google says Nano Banana 2 can maintain character resemblance for up to five characters in a single workflow, which could be especially valuable if you’re using it to create storyboards or visual stories. It can follow precise instructions for complex requests, as well, and can generate input with up to 4K in resolution with richer textures and sharper details than its predecessors could.
Нина Ташевская (Редактор отдела «Среда обитания»)