RISC-V

RISC-V is an open standard instruction set architecture based on reduced instruction set principles, initiated by the University of California, Berkeley in 2010, with the instruction set specification fully open-source and free to use.

The traditional ESP32 uses the Xtensa architecture, while the ESP32C3 uses the open-source RISC-V instruction set.

The current mainstream instruction set architectures include x86/x86-64 (Intel/AMD), ARM, RISC-V, MIPS, and PowerPC.

RISC-V is an open-source architecture that is rapidly rising in the embedded and edge computing fields.

Developers compiled a complete RISC-V CPU architecture into the model weights of Qwen 3.5 4B, using the Gated DeltaNet layers as an exact memory model, enabling programs to run without error through forward propagation alone, raising the arithmetic benchmark from 48% to a perfect 100%.

RISC-V is an open-source instruction set architecture with a modular design, and its base integer instruction sets RV32I/RV64I contain only about 40 instructions.

MicroZig is an embedded development framework built on the Zig language, providing hardware abstraction layers, peripheral drivers, and toolchain support for microcontrollers (such as ARM Cortex-M and RISC-V).

Key metrics such as the accuracy and speed of the model's execution of RISC-V instructions and the range of instruction subsets it supports all require more testing to verify.

A project called Qwenputer embeds the behavior of a 32-bit RISC-V CPU into the weights of the Qwen3.5-4B model, enabling the model to execute RISC-V instructions rather than calling an external emulator.

RISC-V adopts a reduced instruction set (RISC) design, with an open specification that can be freely implemented and extended without paying licensing fees.

Even if the model can "internally execute" instructions, its reliability, speed and debuggability still cannot compare with a real CPU, and in the short term it is more likely to be a research supplement than a replacement.

In recent years, specialized AI chips (such as Google TPU and AWS Trainium), wafer-scale chips, and RISC-V-based accelerators have continued to emerge.

Anthropic's research applies large-model formal software verification at the RISC-V assembly level to hundreds of real open-source libraries and generates proofs in batches.

Formal verification does not mean there are no bugs; the proofs assume a single-threaded static RISC-V binary, a fixed memory budget, and Linux, whereas most people actually run on X86 or ARM with dynamically linked Glibc.

The open chip route typically leverages open instruction sets such as RISC-V or open-source compiler frameworks (such as MLIR and TVM) to lower the porting barrier.

The asmsense dataset currently supports only the x86-64 architecture and does not yet include other architectures such as ARM64, RISC-V, and MIPS.

Firmware reverse engineering is the most difficult, because it targets multiple architectures such as ARM, MIPS, and RISC-V, usually has its symbol table stripped, and may also be compressed or encrypted.

RISC-V was released by the University of California, Berkeley around 2010, and is an open instruction set architecture (ISA) specification rather than a complete chip implementation.

The RISC-V ecosystem rapidly accumulated a usable software library in its early days by porting GCC and LLVM.

SoCs based on open instruction set architectures such as RISC-V are developing, and openness at the chip design level is improving.