Ryan Drazga

1.1K posts

Ryan Drazga

Ryan Drazga

@Rdrazg

Katılım Kasım 2022
207 Takip Edilen69 Takipçiler
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Ryan Drazga
Ryan Drazga@Rdrazg·
On my way to vibe code up a b-rep kernel for vibe coded CAD software. Surely nothing will go wrong.
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Lexer
Lexer@LexerLux·
trillion dollar idea: XCOM style game where you play as the SCP foundation
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Ryan Drazga
Ryan Drazga@Rdrazg·
I think there are levels to the anti-AI in games crowd. Some people are just 100% no AI at all, Some people are no AI in large studios Most people I imagine are no AI "assets", as in models, sound, music, ect. Then there are no AI in gameplay design crowd. A gamer especially a singleplayer story-driven game players want deep well thought out stories with attention to detail. One that is opinionated crafted by a storyteller with a vision. (See bioshock, mass effect, ect.) AI can speed up the development for the systems and assets that support this; However, it really can't and shouldn't replace that vision and the crafting of the story. This is typically the opposite of what large game companies care about though, as many of these companies now want to make "safe" games faster which are algorithmically confirmed to be profitable (current trend is extraction shooters) So those companies replacing staff with AI to speed up the development of slop due to their lack of willingness to experiment is what players are truly worried about I would think.
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Ryan Drazga
Ryan Drazga@Rdrazg·
To be fair it’s 60B for their data, Tesla is a physical product which requires resources to build, YouTube has a lot of the decades of existing content, Apple again is physical and has brand name, Cursor has very little moat and rapidly increasing competition with their main value being the data they have collected thus far not the IDE itself being worth 60B
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am.will
am.will@LLMJunky·
People hate on Cursor, or even go as far to laugh at it. "$60B for an IDE LOL" "It's just a VSCode fork" Yeah, and Tesla is just a car. Youtube is just a video player. and the iPhone is just a phone It's honestly hysterical how wrong they are. GPT 5.5 High Fast and Cursor 2.5 Fast feel unbelievably good in this harness. I have been building non-stop for the last week. Between Cursor and my Codex sub, I want for nothing.
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Ryan Drazga
Ryan Drazga@Rdrazg·
@0xglitchbyte The ironic part is AI (especially the GPT models) are surprisingly good at Zig as well.
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Ryan Drazga
Ryan Drazga@Rdrazg·
I would argue learning those skill sets can be rapidly accelerated with AI, even if using it to the absolute minimum for a domain. The ability to rapidly find knowledge you didn’t have before with it that takes a lot of research is a huge usecase especially for less experienced guys in a domain.
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Ryan Fleury
Ryan Fleury@rfleury·
@JoshDaws Agreed, although importantly what this means is that non-AI skillsets will not go away, and most critically, humans will not be removed from the loop. This alone invalidates much of the marketing hype used to sell investors on specific companies.
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Ryan Drazga
Ryan Drazga@Rdrazg·
As a young guy who has vague ideas of what I want, I use “vibe coding” as a starting point just to even see what ideas work and feel like, The issue is to go beyond that you need experience on how to turn that into the non slop you talk about. Which is hard to get as the market is rapidly pushing towards a desire for devs who just use AI for everything, to get rapid work done. So there is a lot of pressure to show off your AI coded slop projects just to get work, while there is decreasing incentive from companies for you to understand that work deeply to learn how to get to the non-slop version.
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Ryan Fleury
Ryan Fleury@rfleury·
“Vibecoding”, i.e. ~hands-off usage of LLMs to rapidly generate code without regard for the actual code’s contents, for novel applications, can literally never be non-slop, because—as I’ve described before—there is not enough bits of information content in prompts to express the user’s exact desires in sufficient detail, and the desired solution is not expressed in training data (due to the problem’s novelty). Only a sentient human developer can relate to another human user to determine what is desirable, and design the software such that it accomplishes this desirable outcome, and carefully verify that it is doing that, rather than something else (potentially undesirable). This is true even for the combinatoric space implied by the training data, for instance if the novel problem is merely novel in that it combines pieces of existing solutions. There needs to be a guiding force to know what to combine and how. The more detailed the prompt becomes, the more human oversight (the more human-guided round trips with the LLM), the closer it becomes to actual code (i.e. detailed execution instructions for a computer).
Ryan Fleury@rfleury

@yacineMTB Contradiction of terms

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Ryan Drazga
Ryan Drazga@Rdrazg·
@LLMJunky Meanwhile: Skyrim has been updated to run on your smart blender
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mikusingularity 🚀🪐
mikusingularity 🚀🪐@mikusingularity·
I tried out the Solar Expanse demo since it finally came out this month. It is a space colonization management game for the whole Solar System that takes Delta-v and interplanetary transfer windows into account.
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Ryan Drazga retweetledi
Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
I'm writing Go again (for what, you'll see later...). `go doc` and `gopls` are like agent superpowers and its shocking how productive agents are out of the box at writing [good] Go code versus other languages I've used (including the JS ecosystem). Also, Go + Zig is a good mix. Go for the higher level and concurrent stuff and then no-libc Zig code plus the Zig compiler for zero dependency cross-compiled cgo with high-performance characteristics (minimize cgo boundary crosses). Chefs kiss. Its funny because a lot of the shitty ergonomics of Go CLIs like `go doc` and `gopls` (prev. stuff like `go oracle` or `guru`) are totally obviated by agents and not just that but in a twist of irony they're excellent for agents. Don't worry, its not Ghostty. Ghostty and libghostty will remain pure Zig; it's a fantastic fit and a perfect pairing. This is for something else. "Wait, I thought you said Go has no place anymore?" I was wrong, mostly because agents are so productive at Go. I won't bring in other languages in this discussion because I don't want to feed the crabs, so to speak. lol.
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Kimi.ai
Kimi.ai@Kimi_Moonshot·
Meet Kimi K2.6: Advancing Open-Source Coding 🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2) What's new: 🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization). 🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D. 🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files. 🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops. 🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop. - K2.6 is now live on kimi.com in chat mode and agent mode. For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code - 🔗 API: platform.moonshot.ai 🔗 Tech blog: kimi.com/blog/kimi-k2-6 🔗 Weights & code: huggingface.co/moonshotai/Kim…
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Ryan Drazga
Ryan Drazga@Rdrazg·
@SebAaltonen @jamonholmgren It’s interesting to watch the development of Kitten Space Agency where they are putting a lot of work into a custom engine to deal with these issues.
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Sebastian Aaltonen
Sebastian Aaltonen@SebAaltonen·
In a custom engine, I could personally choose 32-bit fixed point. If we have 1048km * 1048km world size (height = 1048km too). We have uniform density of 4096 units in one meter (~0.2mm). Same storage and CPU cost as 32-bit floating point. But you need to make positions (3xuint32) and vectors (3xfloat32) separate types. It has engine-wide implications.
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Jamon
Jamon@jamonholmgren·
Devs are … fun. Every reply is either: 1. You should do origin shifting (the thing I literally say I’m doing in the second paragraph) 2. Wow what a dummy just use 64 bit floats / integers (sigh…) 3. Wow that’s actually hilarious, leave it in (best replies)
Jamon@jamonholmgren

Floating point precision gets pretty bad at 500 kilometers from the origin point 😅 Working on an origin shifting system, but it's slow going, given my terrain system doesn't support it and I'm having to do a bunch of C++ wrangling, compiling, reloading ... not the fastest feedback cycle

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Google
Google@Google·
We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓
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Ryan Drazga
Ryan Drazga@Rdrazg·
@duanebester Did you increase the value of that software, or decrease costs by more then 1200 (IE if you would have needed 2 engineers vs one for that timeframe) If you can measure that, which may not always be measurable in numerical values, this question can be answered.
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Duane Bester
Duane Bester@duanebester·
Say I spend $1200/mo on AI tokens, but I’m twice as effective at software. Does my value double or halve (with a bias of +/- $1200)?
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Jeffrey Weichsel
Jeffrey Weichsel@jeffreyweichsel·
WANTED: PSYCHOHISTORIANS Seeking exceptional candidates with advanced training in stochastic processes, sociology of masses, and predictive modeling of large-scale human behavior. Candidates must demonstrate: • Mastery of n-variable differential equations governing societal dynamics • Ability to extrapolate historical trends across millennia with statistical rigor • Willingness to operate under conditions of utmost discretion Successful applicants will join a small, elite team developing a revolutionary framework for forecasting the future of the Galactic Empire. Work involves collaboration with Dr. Hari Seldon and select colleagues. Compensation: intellectual fulfillment + secure accommodations on Trantor (or relocation to designated peripheral projects). This is not a position for those seeking public acclaim or imperial favor. Only those who understand that the fate of trillions may rest on precise probabilistic analysis need apply. Reply via encrypted channel: Project Prime Radiant – Reference “Seldon Initiative.” Vague inquiries will be ignored. Talent will be noticed.
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