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- Hacker News
- It started failing two days ago, when it suddenly couldn't access gmail threads reliably. Then it started popping up warnings that I was over quota when I wasn't. It even let me use Fable briefly, or pretended to. Meanwhile search finally started working, so there's that.
This video, wow: https://www.threads.com/@founder__growth/post/DZz_9Ikj3Wx
Out of desperation, I moved to ChatGPT and it's working better than I remember. All these companies are playing games under load, under failure. No wonder we can't agree on what's good for what.
by badlibrarian - So can we hire back those Oracle workers to write some code now?by TheSilva
- > Be Anthropic
> Optimize your bottom line for token spending so you collect $$$$
> Release Ultracode feature that optimize for Token Spending (a.k.a Dynamic Workflows)
> Tokenmaxxing achieved + 529 Overloaded unsustainable APIs everywhere
by hmokiguess - status.claude.com looks like a holiday christmas ornamentsby ra0x3
- I had to log in to github and review a PR by hand just now. I felt like a savage again!by swader999
- Actual 90d uptime: 97.6838% (calculated by Codex from live data)
So, only one 9 for 10x vibes.Computed from the page’s own data for 2026-03-26 through 2026-06-23: - Partial outage: 43h 15m 1s - Major outage: 6h 46m 48s - Total affected time: 50h 1m 49s - Major-only uptime: 99.6861% - I have been developing software since the late 80s, mostly CAM software for metal cutting machines, and I have been refereeing tabletop roleplaying games like Dungeons & Dragons since the late 70s.
I get the power of LLMs, and I do find them useful. But I find them useful in much the same way I find a really good set of random tables useful, or a good set of rules for procedurally generating something like a star sector for a science fiction campaign.
For my day job developing software, and for the RPG campaigns and books I run and publish today, LLMs are, in many cases, random tables on steroids. After using them for two years, even with all their improvements, I am continually reminded by the results I get that, at the heart of it, I am still dealing with what amounts to randomly generated content.
Yes, I know it is more accurate to call the process probabilistic rather than random. And yes, somebody can construct a technically deterministic setup with fixed weights, fixed seeds, fixed sampling parameters, and a frozen runtime environment. But that is like saying you can recreate a rainstorm if you get a thousand butterflies to flap their wings in exactly the right way. It may be technically true, but it is not how the technology behaves in normal day-to-day use.
For practical purposes, given the same prompt and the same apparent starting conditions, the result can differ each time you use a model. The outputs will often be highly correlated, and often useful, but they are not deterministic software in the ordinary sense.
So far, I am failing to see how the inherent probabilistic nature of the technology can be fully overcome. I understand how we got to where we are today from older neural net technology, including the systems used for vision and sound. What we have now can be very useful. But my view is that it is being badly oversold and overhyped. Its probabilistic nature is being vastly underestimated, and that is a major reason for much of the weirdness and many of the failures we keep seeing.
In tabletop roleplaying, there have been times when hobbyists relied too much on procedurally generated content and ultimately got burned by it, either through campaigns that were not as fun or products that were subpar. Each time, the lesson was the same: there is no substitute for human judgment.
Any workflow or technology incorporating LLMs has to keep humans in the loop, and not merely as rubber stamps. The human has to remain the primary decision maker.
- I suppose it's a good time to encourage people trying out pi[1] with any cheap model from the openrouter rankings page[1].by yanis_t