GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Glenn 'devalias' Grant (@_devalias) reported 55 seconds ago

  @reach_vb But can you triage a GitHub repo backlog of open issues and fix the core desktop product instead of ignoring users efforts..? 🤔

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  Swaymak.AI (@SwaymaKdotAI) reported 2 minutes ago

  Matt Shumer was right. I don’t game. I’m almost a boomer. And I only learned to code three years ago with AI. But for my son’s birthday, one prompt changed my view of AI gaming completely. My son has been a gamer his entire life. He already has everything, so I kept asking myself: What do you buy someone like that for his birthday? Then I saw @mattshumer_’s post about Claude Opus 5 one-shotting a playable game. I decided to try his prompt, tweak it slightly for my son, and see what happened. For context, I tried something similar a long time ago with Opus 4.6. It took a ton of effort, and the result was garbage. This time? One prompt. A 21-hour run on Ultra. About 20% of my weekly plan burned. And at the end of it, my son had a playable game built specifically for him running on the 85-inch TV. He was blown away. This isn’t someone being impressed because a character moved across a screen. He knows games. He has played them his entire life. Now he is playing something tailored to him, enjoying it, and already talking about how we can make it bigger and better. Is it perfect? Of course not. But that isn’t the point. The point is that an almost-boomer who doesn’t game, learned to code with AI only three years ago, and used a single prompt to create something a lifelong gamer genuinely enjoys. There is something here. Something big. You can criticize the imperfections. You can argue about whether “one-shot” counts when the run takes 21 hours. You can complain about the compute or the cost. But sticking your head in the sand won’t slow this down. I see the same resistance every day from small businesses. People are so focused on what AI can’t do or fearful of what it might do that they never take the time to discover what it can already do for them. The businesses working with us at Swaymak are taking the opposite approach. They are experimenting, learning, and riding a wave of extraordinary new technology. And on this one, Matt absolutely called it: Opus 5 and AI are going to change gaming in a very big way. Today, though, this isn’t really about technology. It’s about watching my son enjoy a birthday gift that didn’t exist yesterday because I was willing to try. Screenshots attached. Video coming. I’ll put the project on GitHub soon. Then I’m getting back to helping businesses take advantage of the biggest technological change of our lifetime.

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  Swetank Sisodia | swetank.eth (@swetanksisodia) reported 2 minutes ago

  4/6 We use GitHub Issues and Projects for development and QA. Codex reviews the previous week’s activity, open tasks, blockers, and release status, then sends me a Slack DM.

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  Jarek.sui (@0xJarekkkkk) reported 3 minutes ago

  @CertiK having trouble logging in via GitHub, google OAuth is working fine though

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  Brad Groux (@BradGroux) reported 3 minutes ago

  @HixVAC I've been working with GPT 5.6 Sol for an hour to fix my GitHub profile README, and I'm not even kidding. Started on Medium, it failed 4 times, moved to Extra High, and it took three times. These were very simple formatting request.

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  HOL (@HashgraphOnline) reported 8 minutes ago

  GitHub CLI commands now have a typed capability model. `gh repo delete` is blocked regardless of spelling. `gh pr view --json` is allowed. `gh issue create` requires review. Classification follows what the command does — not what it looks like.

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  Prakash Sharma (@PrakashS720) reported 10 minutes ago

  🚨 Your Windows PC is secretly running 200+ background services right now. Most of them waste RAM, slow down your system, collect telemetry, and keep features alive you'll probably never use. An open-source developer decided that was enough. They built optimizerDuck — a free tool that helps you clean up Windows 10 & 11, remove bloatware, and optimize your PC for better speed, privacy, and battery life. Here's what it can do: → Optimise 35+ performance, privacy, battery, and system settings → Manage 200+ Windows services with built-in risk labels → Remove pre-installed bloatware with a preview before deletion → Apply GPU-specific tweaks for AMD, NVIDIA, and Intel The best part? Every change automatically creates a rollback file, and the tool requires you to create a Windows Restore Point before making any modifications. ✅ No installer ✅ No ads ✅ No telemetry ✅ No premium paywall ✅ Fully open source ✅ Works completely offline If you use Windows, this is one of those GitHub projects worth bookmarking. Repo link in the comments 👇

• 
  kyrox (@kyroxxxq) reported 16 minutes ago

  THIS GUY CUT HIS AI TOKEN COSTS BY 70% USING ANDREJ KARPATHY'S VIRAL 3-FOLDER SYSTEM. He was uploading the exact same 5,000-token PDF to Claude every single day. Every session started from scratch, burning through processing costs for identical answers. Then he read an 800-word GitHub gist by Andrej Karpathy and realized his entire workflow was broken. You don't recompile software every time you run a program—so why force AI to reprocess raw files every session? Karpathy's fix relies on a simple 3-folder architecture: raw/, wiki/, and instructions/. Your raw source files sit untouched as ground truth. Claude reads them once and compiles clean, interlinked markdown pages directly into the wiki/ folder. A single 20-page PDF gets transformed into 8 to 15 cross-referenced wiki pages. Future queries read exclusively from the compiled wiki—never from the original raw sources again. The token math is massive. Processing 250,000 tokens once shrinks repeat queries from 100,000 tokens down to just 5,000. Instead of paying for an AI that forgets everything every 24 hours, your knowledge base finally compounds over time.

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  PersonalJarvis (@PersonalJarvis) reported 17 minutes ago

  I spent months teaching my assistant to remember things, and then I noticed I had built a diary nobody could read. 4,712 stored items. 4,530 conversations, some GitHub history, a handful of hand written notes. All of it searchable, none of it lookable at. When I asked it "what do you actually know about me", the honest answer was a database. The picture is what the same data looks like now. Every dot is an entity that came out of my own conversations. Every line means two of them showed up in the same moment. 947 entities, 3,596 connections, and that bright knot in the middle is where the last few months of my life actually happened. Nobody drew that map. It fell out of the data. The part I still find funny is how little machinery it took. There is no new table anywhere. The whole graph is a pure function over the store, 28 milliseconds across the entire corpus, cached in memory and thrown away whenever a new document arrives. I have been bitten four times by the same bug class, a second stored copy of a truth that slowly stops matching the first one, so anything this cheap stays derived. It is never written down twice. Entity resolution is deterministic and does not call a model. Unicode normalize, collapse whitespace, casefold. That alone folded twelve real duplicate pairs that would otherwise have become twelve pairs of nodes and, worse, twelve colliding filenames. There is deliberately no stopword blacklist. Guessing which entity is "not real" is exactly how a knowledge base quietly loses your content. Retrieval is the piece I am proudest of. Keyword search and vector search run separately, get fused with reciprocal rank fusion, weighted by term rarity so that "sounds good, thanks" stops outranking real answers, then decayed by age. After that a reranker scores every candidate from zero to ten. That zero to ten is the whole trick. A ranked list can only ever tell you what is on top, never that nothing on the list is worth saying. An absolute score can. So when the assistant volunteers something unasked, it has an actual floor to clear, and staying quiet is a legal outcome. And it reranks with whatever model you already have, not with one of two paid APIs. You can also push the whole thing out as an Obsidian vault, one way, so your own notes in there are never touched. 14 of those 947 names contain a character a filename does not survive. That took longer to get right than the graph did. It is not on GitHub yet. Not for drama. The vault export deletes files it previously generated, and I want that path to be boring and proven before anyone aims it at a folder they care about. The rest of the project is already public. This part follows when I trust it.

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  Glenn 'devalias' Grant (@_devalias) reported 20 minutes ago

  @thsottiaux Now how about some focussed humming through that Codex GitHub issue backlog instead of ignoring everyone bothering to report things…

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  Muhammad Owais Warsi (@MO_warsi786) reported 21 minutes ago

  what happned to github, issues not loading up

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  Rumble Fish Software Development (@rumblefishdev) reported 22 minutes ago

  We want to hear from builders on Soroban. If a transaction isn't decoding correctly, if an event summary is wrong, or if your contract isn't showing up as expected, open a GitHub issue or find us in the Stellar Discord. The tool is free. The feedback loop is open. 👇

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  Clover (@ThiagoG11321261) reported 24 minutes ago

  @Kougeru @DickStone56 @TravisDiesAgain why is it vibecoded? looks like its just the DS translation the other graphical issues happen because pcsx2 still didn't fix them all, you can see it in their github/wiki page

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  claymorwan | DELTARUNE SPOILERS (@claymorwan) reported 24 minutes ago

  @noinconsistency i remember a while ago my ISP for some reasons block github files, not github itself by file hosted on github (???) like github-pages and ****, and my only way to access those was by using a VPN funny enough i found out while having issues with prism launcher lmfaooo

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  MTS (@MTSlive) reported 25 minutes ago

  DAILY SITUATION RECAP: Nvidia launches the Open Secure AI Alliance in order to find and fix vulnerabilities using open-source AI, sort of like an open Project Glasswing. Founding partners include a mix of enterprise software companies (Databricks, Salesforce, IBM, SAP, Siemens, Snowflake), cybersecurity companies (Palo Alto Networks, Red Hat), open-source providers (Hugging Face, LangChain, OpenClaw, Nous, the Linux Foundation), AI labs (SpaceXAI, Thinking Machines, Cognition), and other major companies (Nvidia, Microsoft, Cisco, Palantir, Dell). Moonshot AI releases the Kimi K3 weights and technical report after eleven days since launch. Kimi K3 is a 2.8T parameter mixture-of-experts (MoE) model with 104B active parameters and a 1M token context window. Moonshot also open-sourced much of their infrastructure, including their attention kernels, agent environment platform, and MoE communication library. Just because you can download it in theory doesn’t mean you actually can — the model is far too big to be run on any consumer hardware. Nvidia invests $5B in Ilya Sutskever’s SSI. Sutskever, formerly co-founder and Chief Scientist of OpenAI, founded Safe Superintelligence in 2024 with the sole goal of building a safe superintelligence, with no other products along the way. It has since raised $3B at up to a $32B valuation (likely higher now). SSI is famously very secretive about its research, but Sutskever said it’s “focused on overlooked aspects of how the human brain functions”. The new funding, and access to Nvidia Vera Rubin GPUs, will allow SSI to 10x its compute. More companies sign on to Nvidia’s open source letter. The letter, posted by Jensen Huang on Friday, advocates for a robust American open-source ecosystem with minimal government regulation. New signatories include Google, SpaceXAI, OpenAI, AMD, Cisco, Palo Alto Networks, Nebius, Scale, Fireworks AI, Baseten, Cohere, Sakana AI, Periodic Labs, Core Automation, OpenClaw, and GitHub. Every major American frontier lab except for Anthropic has now signed. CXMT stock surges 466% on its first trading day. The company, formerly ChangXin Memory Technologies, is the largest memory manufacturer in China and the fourth-largest in the world (after SK Hynix, Samsung, and Micron), with a 9% global market share. It now has the second-highest market cap of any Chinese company after Tencent. CXMT doesn’t make the most leading-edge HBM for AI chips, but supplies DRAM to consumer tech manufacturers and data centers. Nvidia may guarantee $250-350B of financing for an OpenAI data center. SB Energy, a subsidiary of SoftBank, is developing a massive 10 GW data center on federal land in Ohio at a total cost of over $500B. The financing guarantee would allow SB Energy to borrow money at lower rates, and possibly allow OpenAI to spend more on Nvidia chips. China begins manufacturing DUV machines. Deep ultraviolet (DUV) lithography machines print intricate nanoscale patterns on silicon wafers, a critical step in chipmaking. The new machines, built by an unnamed state-backed company, will be shipped to local chipmakers including SMIC, Hua Hong Semiconductor, and CXMT. China is still behind on the most advanced extreme ultraviolet (EUV) lithography, which is solely produced by Dutch company ASML. ASML stock fell 6% on the news. Dario Amodei explains Anthropic’s position on open models: open-weight models without dangerous capabilities are a public good, and Anthropic has never supported a full ban. However, we should be worried about the CCP using them for repression, as well as cyber/bio/alignment risk. To that end, we should not sell chips to China, crack down on distillation, and require mandatory safety testing for all sufficiently capable open and closed models. China threatens to respond if the US sanctions their AI labs. The Chinese Ministry of Commerce said US accusations of distillation were “smears” and that China will “take all necessary measures” to defend its rights and interests against any action that substantively harms them. DeepSeek has suspended its recent funding round after comments from a private investor call with CEO Liang Wenfeng were leaked. Written by @theojaffee. Read more at our link in bio.