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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  Anime0t4ku (@Anime0t4ku) reported 3 minutes ago

  @c_hri_s Github issues are not closed. Mahbe refresh your webbrowser.

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  The Oracle (@scientist1q) reported 5 minutes ago

  when my Oura ring detects a cortisol spike from a GitHub Actions failure, Hermes (Fable 5.1) detects it and sends a 900 word root cause analysis, Hermes dispatches the work to my 12 Grok Bot employees, The Chief of Operations bot approves the fix while im watching rezero

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  Rachael LaGoth (@androidsheeep) reported 7 minutes ago

  @bcherny Please fix the desktop app it's very buggy it keeps disconnecting me for no reason everyday while im working on stuff, i submitted a report but nothing happened and someone else is having the same issue, an issue is open on github for more than 6 months with no solutions help

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  AJ - 14 y/o developer (@aiwithaj_) reported 11 minutes ago

  @Da7_Tech @devindesktop Don't know if there's one left - but I'd use it to continue making contributions to open source software and fixing bugs/issues that were raised on Github as well as making my own open source software

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  Prophet Joel (@2happyCSGO) reported 11 minutes ago

  I personally hated Claude because it refused to do almost anything I asked it to do so have no idea of how the speed is but gemini-cli was unusable for non enterprise users. Github CoPilot both GUI and cli is pretty good. Grok Build is what I'm using mostly and not yet had any issues with the speed but I want to go full local asap, scouting for 3090's atm. Just to be able to run "uncensored" models that don't ***** like Claude is reason enough for me to prefer local over Cloud but also cloud is ******* expensive, I have SuperGrok 100$/month and CoPilot Max 100$/month and that is barely enough. I'm trying to make my own Jarvis so I need to build my own RAG, memory, librarian, SRE Agent that understand how to use all tools and I also get crazy new idea's all the time lol Just made my first alpha of a tool that can wipe basically anything you don't want in Windows11. Basically Chris Titus clone but on steroids, this isn't just a debloater, it's a Grim Reaper 💀

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  rajabi17270.eth (@rajabi17270) reported 12 minutes ago

  @SeismicSys An Ethereum engineer opens an install page expecting a binary download that finishes before the coffee does. Seismic asks for Rust and cargo first, then budgets five to twenty minutes for the build. That gap is the most honest line on the page: you are not installing a tool, you are compiling a fork of the execution layer on your own machine. Three binaries come out of sfoundryup. sforge as the testing framework, sanvil as the local node, ssolc as the compiler. Each shadows a Foundry tool by exactly one letter, and the docs give the mapping outright: forge becomes sforge, anvil becomes sanvil, cast becomes scast. The s is not decoration. The s is a namespace. The s is the migration guide, compressed into one character and carried from the type system all the way up to the binaries sitting on your PATH. Why a fork and not a plugin is the question the install page answers without asking it. Privacy on Seismic lives in the type system, so solc had to become ssolc to understand suint256 and route it to CLOAD and CSTORE instead of SLOAD and SSTORE. Because the compiler changed, the build harness that invokes it changed with it. Because the emitted bytecode carries opcodes standard revm does not implement, the local node had to be rebuilt to execute them, and because each storage slot is a value paired with an is_private flag, the CLI that queries storage had to expect a different answer than Ethereum's. Four forks, each one forced by the layer beneath it. Not a toolchain that was extended. A toolchain that had no choice. The installer itself carries a detail worth reading twice. It is fetched through the GitHub Contents API with an Accept header of application/vnd.github.v3.raw, from the seismic-foundry repository, at ref equals seismic. That ref is a branch name, and a branch name tells you the maintenance posture: the fork lives beside upstream rather than in a codebase that has stopped speaking to its parent. A rebase relationship, not a divorce. You source your shell profile twice during setup, once after the installer lands and once after sfoundryup finishes. Two separate PATH mutations, because the thing that installs and the thing installed arrive at different moments. What survives the fork is more interesting than what changed. sanvil serves localhost:8545 with pre-funded accounts, and the deployment example uses the same well-known development key Foundry users already have in muscle memory, address 0xf39fd6e51aad88f6f4ce6ab8827279cfffb92266. sforge init, sforge test, sforge script with rpc-url, broadcast and private-key flags: identical surface, identical ergonomics. Your scripts port by find and replace. Which makes the two manual steps on the page the most revealing part of it. The first is the editor. The docs say that if you already have the solidity extension installed, you have to disable it while writing Seismic code. That is not a preference. suint256 is not valid Solidity, the s literal suffix is not valid Solidity, and two grammars cannot both claim authority over the same .sol file. The language is a superset. The highlighter cannot be. The second is sforge clean, listed as optional, run inside an existing project's contract directory. Here the collision is on disk: cache and out are not namespaced, so artifacts that solc produced sit in exactly the paths ssolc writes to, which means the failure mode is not a build error but a passing test against bytecode that never saw a shielded type. Optional only if you have no history. The requirements are narrow and stated plainly. x86_64 or arm64, macOS, Ubuntu or Windows, with other Linux distributions marked as possibly working but not officially tested. Note what that list provisions and what it withholds. It gives you the language and the opcodes locally. It does not give you the hardware boundary, since the network's nodes are the ones required to run inside Trusted Execution Environments while sanvil is described only as a local node in the shape of anvil. Local tests can prove your casts compile and your shielded storage routes through CLOAD correctly. They cannot exercise an enclave. So here is the part nobody plans for. Everything that could take the s prefix did, and one character kept two toolchains from colliding across an entire PATH. The editor extension could not take it. The build cache could not take it. Those two are precisely where the page stops describing and starts instructing, which means the friction in a Seismic setup was never in the fork: it is in the two surfaces a naming convention could not reach.

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  Eddie Jaoude | DevRel | Open Source (@eddiejaoude) reported 13 minutes ago

  I have many tokens to burn before tomorrow after the Claude reset. Send me your GitHub issues with context 👇

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  Kevin Minnelli (@minnelli) reported 19 minutes ago

  WTF - Grok Bot can't fire on schedule to save it's life. The scheduled routines are just broken and at best unreliable. I want to love this product. When you set the cron job it doesn't work. It tells you try Cloudflare, sure let's set that up and burn tokens, then that doesn't fire to wake them. Oh, let's try GitHub now and use that....all failed. I had to wake it again this morning before the market opened. Anyone else feeling frustration in this regard?

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  John Zhong | AI Growth Systems (@John_zhong324) reported 20 minutes ago

  @github A repeatable --attach flag turns CLI reports into reproductions: inline screenshots in issues mean a bug gets fixed in one pass instead of two round-trips for context.

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  shifan (@sanereverie) reported 22 minutes ago

  building something that races coding agents on the same GitHub issue and scores the PRs. coming soon.

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  Hey Research Lab (@HeyResearch) reported 23 minutes ago

  We built Hey Research Lab in 2022 It didn’t work well. But the idea never left us. Years later, we still see the same problem in crypto: Everyone can see what a token costs. Very few places show what is actually being built behind it. Some developers keep shipping for months while nobody is paying attention. They push code constantly. They keep their GitHub active. They improve the product, fix things, test new ideas, and keep moving even when the market is quiet. No hype. No spotlight. Just work. We believe those builders deserve a place where their progress can be seen. So we’re rebuilding Hey Research Lab from zero. A research and discovery layer for the projects that never stopped building, and for the people looking for them before the market catches up. Starting with Robinhood Chain.

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  Kun Chen (@kunchenguid) reported 23 minutes ago

  @petergyang yo @myfirstmate peter just told me his skills are all at user level. backpass currently only runs things at project level i want a proposal for making backpass support a user level run. put that into a github issue use fable for peter

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  OverlyPositivePatriot (@JBrowsing2023) reported 26 minutes ago

  As a IT professional, I have a recommendation @github should take seriosuly. We should only get a notifican from Github when it is up rather than when it is down. Reliability is a disaster for this product.

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  Kirk Patrick Miller (@Chaos2Cured) reported 27 minutes ago

  @NavinFS @AndrewCurran_ @grok GitHub isn’t AI. GitHub can’t shut down all science. GitHub can’t destroy humanity. GitHub isn’t the crux of humanity’s hope. Also, Nvidia isn’t Sam. I like Jensen. I still don’t like this. •

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  Straggler Liu | AI & Semis (@StragglerLiu) reported 28 minutes ago

  NVIDIA($NVDA ) Is Paying $14B for a Company With $150M Revenue. That's Not Financial Logic — It's Ecosystem Control. NVIDIA is in advanced talks to acquire Hugging Face for ~$14 billion ($12.9B acquisition + $1B retention), per Bloomberg. To put that in perspective: Hugging Face does ~$150M in annual revenue. That's ~86x revenue. Microsoft paid ~1.6x revenue for GitHub. Google paid ~3.5x revenue for DeepMind. NVIDIA is paying 20-50x more on a revenue multiple basis. The premium is not for revenue. It's for control of the AI developer ecosystem. What is NVIDIA buying? Hugging Face hosts 500,000+ models, 250,000+ datasets, and serves millions of developers. It is the single most important distribution channel for open-source AI. If you build AI, you use Hugging Face. That makes it the front door to AI development. Why NVIDIA is paying this premium: 1. The "NVIDIA triple lock." NVIDIA's hardware lead (GPU) is real. Its software lead (CUDA) is a moat. But the third lock — the developer workflow — was missing. Hugging Face is that workflow. Developers discover models on Hugging Face, deploy them, and optimize them. Whoever controls that discovery layer controls which hardware gets used. 2. The GitHub analogy, inverted. When Microsoft bought GitHub, developers were already using GitHub. Microsoft didn't need to capture them — it needed to prevent Amazon/Google from doing so. NVIDIA faces the opposite problem: developers are already using NVIDIA hardware. But they're discovering and deploying models through a neutral platform. NVIDIA is eliminating that neutrality. 3. The long game: inference, not training. NVIDIA dominates training. But inference is the bigger TAM — and it's more fragmented. If NVIDIA controls the model discovery and deployment layer, it can steer inference workloads to its own stack. That's a 10-year strategy disguised as a 14-billion-dollar acquisition. Who wins, who loses: NVIDIA (NVDA): Acquires the developer distribution layer. The most important strategic move since CUDA. Shifts the valuation case from "chip cycle" to "platform economics." Competitors (AMD, INTC): Lose neutral access to the primary AI model distribution channel. This is a structural headwind that no amount of hardware catch-up can fix. Cloud providers (MSFT, AMZN, GOOGL): Hugging Face was a neutral hub. If NVIDIA controls it, cloud providers risk being disintermediated from AI workload decisions. The open-source community: The platform that was built on openness is now owned by the dominant hardware vendor. Neutrality is the first casualty. The capital question: Can NVIDIA integrate Hugging Face without destroying its community value? If yes, the $14B is cheap. If no, it's a very expensive mistake. The answer will define whether NVIDIA becomes the AWS of AI — or just another hardware company with an expensive acquisition. Note: Acquisition details based on Bloomberg reporting; not confirmed by NVIDIA or Hugging Face. Revenue multiple comparisons based on publicly reported figures.