Taelin
@VictorTaelin • 72,140 subscribers
Kind / Bend / HVM / INets / λCalculus
Videos
RELEASE DAY After almost 10 years of hard work, tireless research, and a dive deep into the kernels of computer science, I finally realized a dream: running a high-level language on GPUs. And I'm giving it to the world! Bend compiles modern programming features, including: - Lambdas with full closure support - Unrestricted recursion and loops - Fast object allocations of all kinds - Folds, ADTs, continuations and much more To HVM2, a new runtime capable of spreading that workload across 1000's of cores, in a thread-safe, low-overhead fashion. As a result, we finally have a true high-level language that runs natively on GPUs! Here's a quick demo:
Taelin2,840,634 Aufrufe • vor 2 Jahren
Deleted again because misinformation 🥲 Gemini 3.5 Flash *is* available on the API. Yet, both the API and the CLI versions are 3x slower than on the IDE! See the video below. → Antigravity IDE: 4 seconds (smooth) → Antigravity CLI: 15 seconds (buggy) So the point holds: they want you to use the visual IDE. Problem is: it is 2026. NOBODY should be using IDEs anymore. Get over it. Let it GO. I’m certainly not launching a VSCode fork to use a model, no matter how great it is. They invent a portal gun, only to lock it behind a taxi subscription, because they completely fail to realize their very product deprecates that other thing they think will make them money? Cursor is a great example of a company that (sadly) is very likely fail because of that mindset. Composer is actually surprisingly good model. They should put all efforts in serving it. Yet, they keep locking it under an old school product that nobody wants to use. And even these who DO use IDEs probably won’t necessarily pick YOUR IDE. And they shouldn’t. You do NOT need them to, to make money. Your model is the product. You keep chasing old business models. Completely out of touch. Meanwhile Anthropic is all charging at full speed to sooner or later surpass Google by just serving great models under an API /ctrlv
Taelin67,278 Aufrufe • vor 19 Tagen
IT WORKS! Demo time 🥳 (next 10x productivity bump is here?) Suppose you must refactor a large codebase, e.g.: > "use I32 instead of U32 as the native number type" That task, by itself, is simple enough to be automated by Sonnet alone, right? Problem is: what if the codebase is too large to fit on the AI's context, and RAG solutions / editors like Cursor can't precisely isolate which parts require edit (because it needs some semantic reasoning)? What now? Do we fallback to human coding, as did the old Mayans? Of course not! We just split the codebase in chunks, and send each chunk to ~500 DeepSeek instances in parallel (!). Each instance then decides if given block should be edited or not. This is viable because DeepSeek is smart, fast and really cheap. Finally, we send the blocks that need edit to Sonnet, in a single prompt, and let it work normally. The entire process takes less than a minute, is cheap enough, and very effective. We conclude with a 'git diff' for manual review. In short, AI has came to grep search & replace. Since this script feels like dropping a bomb in your codebase, I'm calling it AoE, and it is available on VictorTaelin/AI-Scripts. Enjoy! Here's the demo:
Taelin630,845 Aufrufe • vor 1 Jahr
a quick demo of this workflow I really recommend it, way faster than CLI agents
Taelin176,073 Aufrufe • vor 6 Monaten
to elaborate, what surprised me is that we can just upload a melody, some lyrics to match, and it... just works? for example: → uploaded Tetris melody → wrote some crappy lyrics → 15s later, I got this it fits perfectly, matching notes to syllables! I had no idea this worked
Taelin60,398 Aufrufe • vor 3 Monaten
Code editing has been deprecated I still need to be there to feed insights, but the actual editing is fully automated. I now program by just talking to Sonnet on terminal. This complex refactor should take days, and it was done by lunchtime. How long til it is fully autonomous?
Taelin163,169 Aufrufe • vor 1 Jahr
DEMO TIME SupGen is a generative coding AI... except it isn't an AI. There is no model, there is no pre-training. You just give it some examples, and it gives you a program. It runs locally, in a single-core CPU. Oh, and it can also prove theorems. Here's a demo, including a brief TT intro. (The synth examples start at the 6 min mark.)
Taelin87,638 Aufrufe • vor 1 Jahr
Another day of AI's optimizing the Bend-to-JS compiler Results: → consistent improvements in most tests → regressions are quickly corrected → some sus results (0.3s → 0.01s) - bug or legit? → compiler capped at 2k-LOC to avoid code explosion I'll review it next Monday
Taelin13,640 Aufrufe • vor 3 Monaten
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