Posts with #Tech

#Tech

Public posts on X that use #Tech.

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  1. kiosa✓@thegreatest_sv
    holy f*ck, web designers have no idea what's coming the ones who learn these tools now will be fine. the ones who don't will be searching job in 2027. 7 design repos you need to know to survive AI, try this asap: 1. UI UX Pro Max gives Claude real design taste: 192 color palettes, 74 font pairings, rules for every industry. your fintech app stops looking like a crypto casino 2. Impeccable catches "AI slop" design the moment it's written. tell it to critique, polish or make it bolder, and it actually does 3. Framelink Figma MCP paste a Figma link into Claude Code and get that exact layout in code. no more eyeballing screenshots 4. React Bits 215+ free animated components and backgrounds. the difference between "nice site" and "wait, how did they do that" 5. GSAP Skills the official skills that teach your AI proper GSAP: timelines, scroll animations, text effects. and GSAP is fully free now, every plugin included 6. HyperFrames write HTML, get a finished video. your AI can make product promos and motion graphics without After Effects 7. MCP for Blender this one's wild. Claude gets hands inside Blender and builds real 3D scenes, models and materials from a text prompt the cell in this video? I built it myself with Claude Code and a few of these 3D and motion tools. no studio, no team. want to make something like this? like + save this post, comment "CELL" or DM me and I'll send you the exact prompt.
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    kiosa @thegreatest_sv
    2283022.4K151K
  2. kiosa✓@thegreatest_sv
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  3. Micron Technology@MicronTech
    Halloween is full of surprises. Your #tech should be ready for them. 👻 Memory and storage help technology process data at the edge and turn it into intelligence in real time. Here’s to quick reactions and #Halloween fun. 🎃
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  4. Edward Johns✓@Ed__Johns
    Today we’re out of stealth, and we’ve raised a $40m seed round co-led by @creandum and @usv, to bring Instant Robot Learning to life. For the past few months, we‘ve been busy building a new company. Machenta. This follows results from a new kind of robot foundation model we’ve built, which I’m so excited to share with you today! Usually, it takes hours/days of data collection and training to teach a robot. We’ve built a model that learns tasks instantly: one demonstration, no further training. A model trained entirely in simulation, without a single pixel of real-world data. A model where teaching robots is so quick and easy, it feels like physical vibe coding. A model for robots that learn like humans do, from someone like you. Welcome to the era of Instant Robot Learning. Thank you @Kathi_Wilhelm, @rebeccakaden, @hkanji, @jonno_evans and all of our angels for your support! @Machenta_ Learn more: See below for what you can do with Instant Robot Learning!
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  5. The Rundown AI@TheRundownAI
    Top stories in tech today: - A selfie could help predict cancer survival - Japan is chasing a Martian mystery - Apple sets date for touchscreen Mac - Meta pops the hood on Prometheus
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  6. kaivectorf✓@kaivectorf
    This is f*cking insane. SpaceXAI engineer: “SpaceXAI pays me $1.2M a year because i know how to build 60+ GrokBot teams that ship 300+ updates a day while i sleep. I haven’t written code by hand in months. I set the rules, then check what the bots deliver.” In a 1-hour livestream, she starts with an empty GitHub and zero bots. 72 hours later, her team has built a company run by bots. Here’s the system: step 1 → give each bot one clear role and its own computer in the cloud. step 2 → teach it a task once. it saves the process as a reusable skill. step 3 → connect the bots in one group chat so they can hand work to each other. step 4 → set the rules, let the team run, then check what gets done. Even the 2 a.m. run happens with your laptop closed. GrokBot → skills → bot team → one group chat → a company that runs itself SpaceXAI calls it “a persona, not a task.” Anyone can open a new GrokBot chat. the real unlock is building a team that keeps working without you. This 1-hour tutorial is worth more than most $2,000 agentic engineering courses. Bookmark it and watch today Then read the article below ↓
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    beamnxw ./ @beamnxw
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  7. Braith Leung✓@BraithLeung
    If you’re in #tech, let’s connect and build together!
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  8. GatoNegro@LatinoBlackCat
    Hey #tech friends, time to promote your startup Drop your project URL and let's connect
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  9. darkzodchi✓@zodchiii
    holy f*ck, Anthropic put an entire Claude degree on GitHub for free... 7 repos, ~465K stars, and in the right order they take you from your first prompt to an agent that reviews your PRs while you sleep. each repo is the next layer of the one before. prompt-eng-interactive-tutorial -> how to talk to Claude 9 chapters, from basic prompt structure to cutting hallucinations ↳ claude-cookbooks -> copy-paste recipes notebooks for RAG, tool use, vision, sub-agents and prompt caching ↳ claude-quickstarts -> full apps you can deploy 17 starter projects, from a support agent to Claude controlling a desktop ↳ skills -> teach Claude your workflows one folder with a SKILL.md and Claude does the task the same way every time ↳ claude-agent-sdk-python -> your own agent the Claude Code agent loop in Python, with your own tools and hooks ↳ claude-code -> the agent in your terminal reads your codebase, edits files, runs commands and handles git ↳ claude-code-action -> the agent in your repo tag @claude on a PR or issue and it reviews the code or pushes a fix ↳ build one agent with these and you become the person your team brings every AI project to, and that’s usually where the raise starts the Opus 5.5 prompting guide that goes on top of all 7 is below ↓
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    darkzodchi @zodchiii
    304731936.5K
  10. Samyak✓@samyakc169
    Hey @X founders, builders, marketers! 👈 Let’s #connect 🤝 share ideas, build cool things, and grow together! If you’re in #tech, come say “Hi” 👋
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  11. Alex⚡✓@xltheg
    If you're in #tech let's connect 👀⚡️
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  12. Matthew@Matthewcoderx
    120 Mind-Blowing AI Tools! 🚀 ​Stop wasting hours searching for software. ​Save this ultimate cheat sheet right now! 📌 ​#AITools #Productivity #Tech ​Follow @matthewcoderx for more useful tools and tech resources! 🚀"
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  13. Kshitij Mishra | AI & Tech✓@DAIEvolutionHub
    Google Brain founder Andrew Ng: "Prompting will be dead in 6 months Agent harnesses built with loops and graphs will replace it" Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today Prompt → Run → Verify → Improve The first 20 minutes teach what most $1,500 courses try to sell you For free Bookmark and watch it today
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  14. Jaume✓@jaumesegura7
    If you’re in #tech, let’s connect and build together! 🚀💻 Jaume, from 🇪🇸, primary teacher to solo founder.
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  15. rσнιт ☘️@rohittmore
    Let's connect if you're building in : → SaaS → AI → Dev → Automation → Indie Hacking → Marketing → Startups Building in public is better with the right people 🚀 #letsconnect #Tech @X
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  16. 💀Ladomania💀@ladm1699
    We really gotta teach STEM majors the importance of not making things sometimes
    Praveen Kumar Verma @Alacritic_Super
    Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks. By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time. Massive implications for next-gen search & rescue and edge AI.
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  17. Praveen Kumar Verma✓@Alacritic_Super
    Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks. By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time. Massive implications for next-gen search & rescue and edge AI.
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  18. hayato✓@hayatomaruu
    Andrej Karpathy spent 8 years at OpenAI and Tesla Last week he compressed everything he knows into one free 2-hour lecture Prompts → Agents → Harness → Graphs → Loops People spend $15k on bootcamps that teach less than this You probably don't have 2 hours right now Don't let it vanish from your feed Watch it, then read the full Opus 5.5 harness engineering guide below
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    beamnxw ./ @beamnxw
    Stop letting unfinished Opus 5.5 runs eat your budget Set up the harness before your next long task Save progress, verify results, reuse the workflow The full 7-layer setup below ↓
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  19. beamnxw ./✓@beamnxw
    Stop letting unfinished Opus 5.5 runs eat your budget Set up the harness before your next long task Save progress, verify results, reuse the workflow The full 7-layer setup below ↓
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  20. yurshev✓@yurshevv
    holy f*cking sh*t Karpathy put an entire AI degree on github for free while you are still paying $200/month to watch youtube tutorials from a guy with 3000 followers 7 repos. 306,741 stars combined. in the right order they take you from "how a neuron learns" to "agents that run research overnight while you sleep" every repo you skip is a layer of understanding your competition at work already has and you do not. and every month you keep "planning to start" is another month someone on your team gets handed the AI project you should have been running here is the exact order. do not reshuffle it 1. micrograd → how a neural net actually learns. backpropagation in about 100 lines of python. this is where every AI engineer on earth started. if you cannot read this file, every other repo on the list is going to feel like black magic to you 2. nn-zero-to-hero → his full video course. lecture notebooks that walk you from a single neuron to GPT. the thing people pay $2000 for from AI "bootcamps" that teach a fraction of what is in this one free repo 3. minbpe → how text actually turns into tokens. the tokenizer that sits inside every LLM, in clean minimal code. this is the part 95% of self-taught people skip, and it is why their models never work right 4. nanoGPT → your own GPT. the simplest repo in existence to train and fine-tune one. after this file you stop asking "how does ChatGPT work" because you have literally built the smaller version with your own hands 5. llm.c → the same training with nothing hidden. raw C and CUDA, no PyTorch wrapper doing the hard parts for you. this is where you stop being a prompt engineer and start being an actual engineer 6. nanochat → a full chat model end to end. GPT-2 level training that cost ~$43,000 in 2019. in this repo it costs about $48. let that sit for a second. the thing people called a breakthrough is now a weekend project 7. autoresearch → agents that do the research for you. the agent edits your training code, trains for 5 minutes, keeps whatever improved, discards whatever did not, and repeats all night while you sleep. this is where the people reading this list stop being students and start being whatever comes after that the brutal truth most people avoid: train one GPT from scratch and you become the person who gets handed the AI project at work, along with the raise that comes with it. keep "planning to start" and you become the person watching that happen to someone else the classroom half of the same degree, what Stanford actually teaches about AI for real, is below
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    yurshev @yurshevv
    251661.4K123K
  21. yurshev✓@yurshevv
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