Path: csiph.com!weretis.net!feeder8.news.weretis.net!reader5.news.weretis.net!news.solani.org!.POSTED!not-for-mail From: Mild Shock Newsgroups: sci.physics.relativity,sci.math Subject: Gemini, DeepSeek, OpenAI all know Dmitriy V'jukov (Was: I'm a spinner, I'm a sinner [Dmitry Vyukov for pi-WAM]) Date: Mon, 20 Jul 2026 08:31:02 +0200 Message-ID: <113kfb6$3b4e$1@solani.org> References: <10seel8$rsl4$5@solani.org> <113i6qr$1r2p$1@solani.org> <113je4j$l8tp$6@dont-email.me> <113je9k$l8tp$7@dont-email.me> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit Injection-Date: Mon, 20 Jul 2026 06:31:02 -0000 (UTC) Injection-Info: solani.org; logging-data="109710"; mail-complaints-to="abuse@news.solani.org" User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:140.0) Gecko/20100101 Firefox/140.0 SeaMonkey/2.53.24 Cancel-Lock: sha1:eH2JjE6d6M0VlKLZOc+Ju/EvGYA= X-User-ID: eJwNyskBwCAIBMCWlIVFygmH/Zdg5j0GbpYrjWrX7orVUZm7sx2uFtVbIUZYf+VJwWA0XUJlZUv94cR4zRzwAVH7FZM= In-Reply-To: <113je9k$l8tp$7@dont-email.me> Xref: csiph.com sci.physics.relativity:671488 sci.math:646840 Hi, Its actually quite amazing. Gemini, DeepSeek, OpenAI all know Dmitriy V'jukov. I have asked the IntelliJ integrated Freeium AI to generate some code for me, I guess their service uses by default OpenAI (Codex), and had it reviewed by Gemini and DeepSeek. These AIs started lecturing me about lazySet() in Java. But I went with set(): private static boolean enqueue(Queue q, Object data) { int pos = q.enqueuePos.get(); for (; ; ) { int index = pos & q.bufferMask; int seq = q.sequences.get(index); int dif = seq - pos; if (dif == 0) { if (q.enqueuePos.compareAndSet(pos, pos + 1)) { q.data[index] = data; q.sequences.set(index, pos + 1); return true; } pos = q.enqueuePos.get(); } else if (dif < 0) { return false; } else { pos = q.enqueuePos.get(); } } } The above version seems to be more suitable for my purpose, since it allows polling, it basically implements offer(). While the version posted on in the lock free group by Chris M. Thomasson implements a spin wait blocking put() already. But I didn't port it yet to JavaScript or WGSL. Currently busy with realizing a Worker facade in JavaScript for a CPU backend that will run in both the browser and node.js. Bye Chris M. Thomasson schrieb: > On 7/19/2026 2:04 PM, Chris M. Thomasson wrote: >> On 7/19/2026 2:53 AM, Mild Shock wrote: >>> Hi, >>> >>> I'm a spinner, I'm a sinner >>> I spin on CAS loops for my dinner >>> Some call it busy-wait, I call it fate >>> When the queue is empty, I just rotate >>> >>> 2 Producer threads, 2 Consumer threads >>> Each Producer generating 8192 items >>> the single common channel between >>> them 128 elements larger. >>> >>> public class DmitryVyukov >>> 8 ms >>> public class DougLea >>> 10 ms >>> >>> On the Ryzen AI 7 350 which has 8 physical >>> cores with hyperthreading, making it 16 >>> logical cores. >>> >>> LoL >>> >>> Bye >>> >>> See also: >>> >>> Producer-Consumer Queues by Dmitry Vyukov >>> https://sites.google.com/site/1024cores/home/lock-free-algorithms/queues >>> >>> Steve Miller Band - The Joker (Official Music Video) >>> https://www.youtube.com/watch?v=dV3AziKTBUo >>> >>> Mild Shock schrieb: >>>> Hi, >>>> >>>> Ok I was looking at this learning challenge, >>>> producing vector (y1,y2,y3,y4) from a vector >>>> (x1,x2,x3,x4), System R can do it via least square? >>>> >>>> | 0 0 0 1 |   | x1 |     | x4 | >>>> | 0 0 1 0 |   | x2 |  =  | x3 | >>>> | 0 1 0 0 |   | x3 |     | x2 | >>>> | 1 0 0 0 |   | x4 |     | x1 | >>>> >>>> How it started: >>>> >>>> "multiplicative RNNs arises naturally from a >>>> proof-theoretic interpretation of next-token >>>> prediction as nested intuitionistic implication" >>>> Paul Tarau - 2026 >>>> https://arxiv.org/abs/2601.19915 >>>> >>>> How its going: >>>> >>>> "Dave uses a PDP-11 to train a real Neural >>>> Network complete with Transformers and >>>> Attention so you can see them at their most basic." >>>> Mr. Taskmanager - 2026 >>>> https://www.youtube.com/watch?v=OUE3FSIk46g >>>> >>>> We see Doctor Frankstein in action from >>>> the Bronze Age of Computing, producing >>>> a Humunkulus, the progenitor of todays >>>> >>>> Bulgakov Shuriks in the Hyperscale Age! >>>> >>>> Bye >>>> >>>> P.S.: My impression neither cut to the core, that >>>> this incredible transformer most likely >>>> produced this deterministic attention: >>>> >>>> | -1 | * | k | + | 5 | = | k' | >>>> >>>> Or differently expressed y_k = x_{5-k}. >>>> >>>> How did the transformer do it? It produced >>>> a neural network with 1216 parameters, but >>>> didn't use embeddings or polar encoding >>>> >>>> of positions. But if we strip the noise >>>> and denoise from the position encoding, >>>> the denoise is done via softmax. We somehow >>>> >>>> must get the above, right? I still need to >>>> verify my claim! BTW: The PDP-11 assembly >>>> from 1979 uses wider example not with n=4 >>>> >>>> but with n=8. >>> >> >> I am friends with Dmitry Vyukov from way back, 23+ years ago. >> Actually, I helped him find some bugs in Relacy when it was in >> pre-alpha way back on comp.programming.threads. Also, I created some >> neat eventcount algos, read all: >> >> https://gist.github.com/mratsim/04a29bdd98d6295acda4d0677c4d0041 >> >> For starters... ;^) > > > also, I made a neat alteration to one of Dmitry Vyukov MPMC queues, > check it out: > > https://groups.google.com/g/lock-free/c/acjQ3-89abE/m/a6-Di0GZsyEJ > > can you get to the link? Thanks. Read all.