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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  NO1ennn (@N01ennn) reported 46 seconds ago

  Microsoft ran its graph system against vector RAG on 8k, 120k, and a full million token context window, and the million token giant lost Jonathan Larson from Microsoft Research put up the numbers → LazyGraphRAG won 92, 90, and 91 percent of data-local questions, the exact place plain RAG was supposed to be strong → and did it at a tenth of the cost of the million token run the lesson buried in the benchmark → a bigger context window is not memory, structured memory is throwing more tokens at the problem was just the expensive way to be wrong open source on GitHub, the lesson a $1500 course would charge you for

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  Michael ® SpeedevsWhale (@SpeedevsO) reported 4 minutes ago

  (use GitHub for sign in) (2025 and below GitHub) Is the requirement I think If your eligible you will get it

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  Wehk (@Wehk_k) reported 6 minutes ago

  @Ronnnnnnnner @Leo_Pier_ A dex paid would just fix or remove that github

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  Myles Marino (@mylesmarino) reported 6 minutes ago

  The correct way to use AI is increasingly looking like an onboarding checklist. Like adding a new remote drop-in teammate. Most people are still using AI like a search engine: 1. Ask question 2. Get an answer 3. Start from scratch again That's close to being a thought partner. Or if you are a bit more advanced, an assistant. Useful, reactive. Mostly a good way to save ten minutes. But treating these tools as teammates has been a critical unlock for us the past few months. You would normally give new hires: - a laptop - ticketing system logins - Slack handle - scoped credit card Even if they didn't need it all day one. But withholding critical systems means they are more "contractors" than they are drop-in remote workers. Do the same for AI: GitHub, Jira, Slack, Mercury, internal docs, the whole 9. Treat this like a new hire who happens to be forgetful. Write down everything and make a reference guide. Have scheduled reviews, so you can provide feedback and continuously improve.

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  mina (@minallkamel) reported 7 minutes ago

  the more i read random issue threads on github the more my disgust for the human species gets cemented

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  Tejas (@stejas809) reported 11 minutes ago

  - Claude = coding. ($20/mo) - Supabase = backend. (Free) - Vercel = deploying. (Free) - Namecheap = domain. ($12/yr) - Stripe = payments. (2.9%/transaction) - GitHub = version control. (Free) - Resend = emails. (Free) - Clerk = auth. (Free) - Cloudflare = DNS. (Free) - PostHog = analytics. (Free) - Sentry = error tracking. (Free) - Upstash = Redis. (Free) - Pinecone = vector DB. (Free) Total monthly cost to run a startup: ~$20 There has never been a cheaper time to build.

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  Focus (@F0kcus) reported 18 minutes ago

  Progressive spent $340 million on Snapshot dashcam analytics last year. He is 24 and built a better one on a $40 eBay dashcam He runs a fraud detection service out of a Cleveland apartment on a used ThinkPad X1 and a water-damaged dashcam he pulled from an eBay estate sale in September. Total hardware: $220. The model analyzes dashcam footage frame by frame and flags staged accidents, exaggerated damage claims, and pre-existing vehicle wear that insurance adjusters miss. He trained it on 40,000 hours of publicly available dashcam crash footage he scraped from YouTube during nights after his shift at the FedEx sorting facility on Rockside Road He posted a demo video to GitHub in October showing the model correctly flagging 47 staged accident patterns across a 12-hour test batch with 96% accuracy running on consumer hardware. A Progressive Snapshot engineering team member found it through a Hacker News thread three days later. Tricia Griffith mentioned the project by name on LinkedIn the following Monday - held it up as an example of "small-team ML solving fraud detection problems that consulting firms have been overcharging insurers for a decade to fail at." By December Progressive had wired $3.6 million into his account for the model weights and a two-year consulting contract to integrate the detection layer into the Snapshot product line rolling out to 24 million active policyholders this quarter Progressive runs at $60 billion in annual premiums on the premise that fraud detection at scale requires their proprietary Snapshot infrastructure. State Farm runs at $88 billion on the same premise with their Drive Safe & Save program. Tricia Griffith just paid a 24-year-old in a Cleveland apartment more for a GitHub repo than most Progressive fraud detection engineers earn in a decade

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  John Kelleher (@jkelleher) reported 21 minutes ago

  Am I right in thinking @cursor_ai cloud agents can't read/create/update GitHub issues? Do we need to create an additional secret for this, despite the plugin already being set up?

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  Krrish Tripathi (@KrrishTripathi2) reported 21 minutes ago

  @ayuxhtwt Probably grinding LeetCode to fix a bug in production because his copied GitHub projects didn't come with an "explain to my boss" feature.

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  Ashutosh Ajgaokar ⚡️ (@ajgaokar) reported 23 minutes ago

  It is not a toy either. The paper reports 82.2% on SWE-bench Verified, a set of real GitHub bug reports an agent has to actually fix, running GPT-5.5 at its highest reasoning setting. Opus 4.6 lands at 79.8%.

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  StatusDrop (@StatusDrop) reported 25 minutes ago

  Quick one: when a dependency like Stripe or GitHub goes down, how do your users find out? From you, or from the error screen? Genuinely curious how people handle this.

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  Warren 🇺🇸 (@Warren42012) reported 26 minutes ago

  @cyberaxe @jiya_3063 I can see that about co-pilot. I have never paid for any subscription on GitHub and never experienced an outage for the last 7 years that lasted over a few hours

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  Jonathan Yantis (@mantis1) reported 28 minutes ago

  @omkarships Most have moved from managing microservices to managed services like GitHub with all the same problems.

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  Aaryan Kapoor (@TheAaryanKapoor) reported 30 minutes ago

  2 AM overthinking... So exactly how stupid is it to run a local model within the GitHub CI server?

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  Nero🍀 (@firedUp_Neyu) reported 31 minutes ago

  @Alibaba_Qwen The EU: we absolutely must slow down and regulate Al to make it more ethical and eco-responsible! China: here's a demigod in a .zip file installable on your MacBook Air, please rate us on GitHub thx