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.
The last year has been big for Google's AI efforts. Its rapid-fire model releases have brought it to parity with the likes of OpenAI and Anthropic and, in some cases, pushed it into the lead. The Nano Banana image generator was emblematic of that trend when it debuted last year, and subsequent updates only made it better. Now, Google has announced yet another update to its image model with Nano Banana 2, which is available starting today.。关于这个话题，51吃瓜提供了深入分析
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Author(s): Pradeep Kumar Rana, Atharva Vyawahare, Rohit Batra, Satyesh K. Yadav
// Speaker 0: [0.56s - 2.96s]。夫子对此有专业解读