It's a network of computers with GPUs, so there's no reason it can't sleep at the same time it's awake. Just a continuous "sleeping" process going on in the background, incrementally updating the model. No need for the "thinking" process to be "unconscious" while the "sleeping" process runs. Anthropomorphism confuses everything. There's no such thing as "offline hours" because the Earth is a sphere and the United States is not the center of the universe.
Nap while you can. The baseline is slowly raising; AI fed with organization context will hunt you down and lay you off, as it has done at multiple companies this spring already.
For the record I took it 100% seriously, having been wfh since covid I’ve taken more than one nap during ‘work hours’ myself… I’m saying ‘spin up an agent and go for a long walk’ being ok is close to over and it’s over in some companies already - and it isn’t because they’re monitoring what you’re doing, it’s that they know what is possible from those few folks who don’t go for walks and spin up more agents instead.
Heh it feels like that in a way, and the more complex the feature, the more endless the back and forth reviews can be - there seems to be always some feedback, so you need to decide when to be done with it and commit. You can easily get into review paralysis.
Mitch Bradley created OpenFirmware. It started at Sun as OpenBoot (informally "SunForth") on the SPARCstation 1 in 1989, was standardized as IEEE 1275-1994, and was renamed OpenFirmware at that time. Its lineage runs back through Mitch's earlier Forthmacs (Bradley Forthware, early 80s), which ran on 68k Macs, Sun-2/3, Atari ST, and Amiga. Mitch credits Henry Laxen and Michael Perry's F83 and Glen Haydon's MVP-Forth as the public-domain ancestors.
The metacompiler can target many platforms, word sizes, CPUs, and threading models, and produce stripped ROMable images. It can build the kernel as direct-threaded (DTC), indirect-threaded (ITC), subroutine-threaded (STC), or token-threaded (TTC), with 16, 32, or 64 bit cells. Shipping kernels are DTC native code with cell-sized xt pointers: 32 bit on the original SPARC and PowerPC machines, 64 bit on modern PPC64, SPARC64, and ARM64 builds.
Peripheral expansion cards ship a separate, portable, variable-byte token format called FCode. The kernel interprets FCode at boot/probe time and recompiles it on the fly into the live native dictionary. After probe, FCode-loaded drivers run as ordinary native Forth words. That two-stage design (fast native runtime, portable FCode transport) is what let Sun ship one card PROM image that worked across CPU generations.
FCode was designed for SBus on the SPARCstation 1, with cross-CPU portability built in. Sun's earlier and contemporary buses were not interchangeable with SBus (Sun-2 used Multibus, Sun-3 used VMEbus, the Sun386i "Roadrunner" used AT-bus), so the cross-architecture payoff arrived later, when IEEE 1275-1994 standardized OpenFirmware and PCI allowed FCode in option ROMs. After that, the same expansion-card PROM image could boot on Sun SPARC, Apple PowerPC Macs, IBM PowerPC servers (CHRP), and the OLPC XO.
Interview with Mitch Bradley (he's like the Woz of Forth):
In parallel with the OpenBoot work, Mitch also developed an extremely portable C-based Forth (the public version is "C Forth 93"). It runs a switch-threaded inner interpreter over packed tokens, with configurable cell width (16, 32, or 64 bit) and configurable token width (pointer-sized by default, 16 bit with the T16 build flag for tight flash budgets), plus a small hand-rolled FFI built around a fixed-arity 12-argument marshalling trampoline driven by a format string. It is now the embedded variant used in OLPC's OpenFirmware and in PlatformIO targets including RP2040, Teensy, ESP32, ESP8266, and STM32:
I ran EForth under the Subleq from Howe R.J at https://github.com/howerj/muxleq (the subleq one) first at QuickJS (trivial tasks, almost a 1:1 map from the C code, made in a hurry) and under... jsinterp.py from the infamous yt-dlp but using arrays instead of printing functions. But... if yt-dlp's "mini-JS" implements some captcha input functions... you can add I/O with ease and run EForth with what they call (not me) a "Not totally functional interpreter".
Not totally... until people there run the 110 rule program, Conway's Life, Subleq+EForth...
I ran EForth under Muxleq (multiplexed subleq) under an n270 Atom (32 bits Intel) and was fast enough. Much slower than GForth or even PFE (which is slow compared to GForth), but usable even to do Algebra exercises. Rendering a Mandelbrot fractal (ASCII) lasted half a minute but it's amazing that few lines of C enable you to run a Forth with input composed of numbers. I even have a backup in paper.
I don't think that's true? Macs were running Open Firmware, they had an expectation of the same Forth code that Suns made use of, and several cards needed to be flashed with Apple firmware to be Mac compatible. Alphas definitely ran x86 video card init code under emulation, though.
iirc, the OpenFirmware boot image was larger than the equivalent BIOS image - I've got half a memory of resoldering ROM chips on ATi cards so they could be cross-flashed to work in G3/G4 PoweMacs.
I have a client I've been working with for decades (because they're great people to work with), maintaining and improving their php code base that still uses Smarty templates. So I know and hate Smarty from first hand experience, and appreciate what a terrible idea Smarty is and why.
I've also extensively used Zope and Plone, which attempt to give designers a "safe" set of capabilities and subset of Python which was a total disaster. Template DSLs always end up trying to regrow programming language features, much usually worse then the languages they are implemented in.
Zope is particularly illustrative because it recursively accumulated: TAL, METAL, TALES, RestrictedPython, and DTML: all to avoid "just use Python templates". (And don't even get me started on all the layers CMF and Plone introduced!)
This happened with Smarty, Zope Page Templates (ZPT), TAL/METAL, RestrictedPython, Django templates, Helm templates, Jenkins pipelines, GitHub Actions YAML, Terraform HCL, and countless other attempts to create a "safe non-programmer-friendly mini-language" that eventually mutates into a worse programming language, often with horribly leaky abstraction layers of \escaping and < perfect syntax and <
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