That's fantastic, love the ability to inspect each state and see it as a whole running in real-time. I remember seeing a C64 simulator that showed the memory/cpu state - but this goes beyond that.
Started with the excellent MIR compiler, and I wrote much of the class/string/json/dict, exceptions and AI made the generics,ownership tracking, and safety checks/traps. Added some go
The memory model is mixed, I ended up using arenas for dictionaries and adding a full ownership checking / safety checking compiler stage.
It's purely for the joy of making something interesting.
Similar story for myself. It was long and tedious for my mental model to go from Basic, to Pascal, to C, and finally to ASM as a teen.
My recent experience is the opposite. With LLMs, I'm able to delve into the deepest parts of code and systems I never had time to learn. LLMs will get you to the 80% pretty quick - compiles and sometimes even runs.
Impressive! The cloning and voice affect is great. Has a slight warble in the voice on long vowels, but not a huge issue. I'll definitely check it out - we could use voice generation for alerting on one of our projects (no GPUs on hardware).
I spent a few months working on different edge compute NPUs (ARM mostly) with CNN models and it was really painful. A lot of impressive hardware, but I was always running into software fallbacks for models, custom half-baked NN formats, random caveats, and bad quantization.
In the end it was faster, cheaper, and more reliable to buy a fat server running our models and pay the bandwidth tax.
When I use the "think" mode it retains context for longer. I tested with 5k lines of c compiler code and I could 6 prompts in before it started forgetting or generalizing
I'll say that grok is really excellent at helping my understand the codebase, but some miss-named functions or variables will trip it up..
I tried replacing a DMA queue lock with lock-free CAS and it wasn't faster than a mutex or a standard rwlock.
I rewrote the entire queue with lock-free CAS to manage insertions/removals on the list and we finally got some better numbers. But not always! We found it worked best either as a single thread, or during massive contention. With a normal load it wasn't really much better.
Wonder if this could work for li-ion batteries as a current collector? You could potentially lower charging times and handle higher power applications and higher temperature ranges.
Downvote me all you want - the fact remains that previous Google models were so riddled with guardrails and political correctness that it was practically impossible to use for anything besides code and clean business data. Random text and opinion would trigger a filter and shut down output.
Even this model criticizes the failures of the previous models.
Dang - Google finally made a quality model that doesn’t make me want to throw my computer out a window. It’s honest, neutral and clearly not trained by the ideologically rabid anti-bias but actually super biased regime.
Did I miss a revolt or something in googley land? A Google model saying “free speech is valuable and diverse opinions are good” is frankly bizarre to see.
Once things are a little more stable, I will put it up!
Right now you can just break before the (fun_call)() delegate and disassemble the fun_call in gdb.
The basic trick is to add reloc support to the x86 translate code, mark external calls and replace with 0x0 placeholders, and copy out the machine_code and data segment output to an object file.
I can do basic main functions with simple prints calls but not much more. It’s a hack for now but I’ll refactor it until it’s solid.
I’ve been modifying the the MIR c2mir JIT compiler to extend the c11 compiler to support simple classes, boxed strings(immutable, nun-nullable) with AOT support.
Imagine if Java and C had a love child, basically.
MIR is a fantastic piece of engineering.
Honestly the hardest part is representing types. Having played around with other compilers it seems to be a typical problem.
I’m stuck in the minutiae of representing highly structured complexity and defining behavior in c. I can understand why many languages have an intermediate compiler - it’s too much work and it will probably change over time.
US domestic TB funding by CDC, through state and local programs, have not been cut.
The Global Fund to Fight AIDS, Tuberculosis and Malaria is still funded by the US congressional appropriations through State department ($6B for 2023-2025) but future funding is in review.
USAID funding for the Global Drug Facility was cut. GDF is a treatment coordinator which helps deliver drugs and treatments to areas in need. GDF is managed by the Stop TB Partnership (a UN OPS program) and has largely been a success so it's not going away as it's funded by multiple nations and private organizations.
State Department could include GDF in the existing emergency humanitarian waiver.
On the merits, this Court previously held that no provision of § 8468 prevented the plaintiffs' removal. See Mem. Op. at 7. First, the Court noted that “the power of removal from office is incident to the power of appointment” “absent a specific provision to the contrary.” Id. at 6 (quoting Carlucci v. Doe, 488 U.S. 93, 95 (1988) (citation omitted)). Second, the Court held that the plain text of § 8468(b), which provides only that Board members “serve for three years each” on staggered terms, does not meet that standard. Id. at 7. Third, the Court read Parsons v. United States, 167 U.S. 324 (1897), and Myers v. United States, 272 U.S. 52 (1926), to hold that term-of-office provisions, standing alone, do not confer removal protection.