The sites I host on Cloudflare are all down. Also, even ChatGPT was down for a while, showing the error: "Please unblock challenges.cloudflare.com to proceed."
This is still the case for me
Readit Newsdsco commented on Cloudflare Global Network experiencing issues cloudflarestatus.com/inci... · Posted by u/imdsm
dsco commented on Amazon strategised about keeping water use secret source-material.org/amazo... · Posted by u/chhum
Water use is a pretty close proxy for power use which is a pretty close proxy for how much computation is happening.
I can totally see why a company wants to keep this info secret.
Competitors would really like to know.
Yes if we squint really hard then this could be the reason. It could also be because it's a PR disaster.
dsco commented on Reasoning LLMs are wandering solution explorers arxiv.org/abs/2505.20296... · Posted by u/Surreal4434
> hallucinated or unfaithful conclusions
Disclaimer: I’m no expert. An anecdotal example: I asked the reasoning LLM a question, and it laid out the correct answer in its thinking step, only to stop thinking and confidently give the wrong answer. That moment led me to conclude that when LLM evangelists talk about reasoning and thinking, they are essentially bullshitting.
This is unfair and why people see HN as largely a pessimistic crowd. Just because someone might be wrong doesn't mean they are actively trying to deceit you, which I assume you mean with "bullshitting".
It's a new and shiny object and people tend to get over-excited. That's it.
Does anyone get the demos at https://www.gpt-oss.com to work, or are the servers down immediately after launch? I'm only getting the spinner after prompting.
dsco commented on Show HN: I made a web-based, free alternative to Screen Studio screenrecorder.me... · Posted by u/johnwheeler
Fantastic product! I almost feel bad for Screen Studio as he's a solo creator and charges for the product, this will most certainly be bad news for him
dsco commented on US Administration announces 34% tariffs on China, 20% on EU bbc.com/news/live/c1dr7vy... · Posted by u/belter
For extra sauce on the "they're barely even thinking about this" cake someone figured out where those crazy "Tariff Charged" numbers were coming from, they're taking the trade deficit and dividing by the total imports from that country.
edit: The White House deputy press secretary posted their formula and it is just trade_deficit/2*total_imports per country just dressed up with a lot of fancy language to make it seem smarter but the two extra terms are constants.
I've seen this comment a couple of times. What would be a better way of doing it? Also consider that if they would've had a more complex formula, what would be the cost of needing to explain it publicly? Would they then need to start defending the fairness of each tariff vs doing it the simple way and having a single formula across the board?
I realize it’s anathema to a lot of people, but you could just... pay for stuff. YouTube has an ad-free premium option.
I wish I could do this for Spotify. Paid plans still include ads.
They cram ads into podcast episodes which themselves also have ads, so you'll get the read ads + Spotify's local ads + Spotify laughs all the way to the bank.
I believe over time not having ads will be a thing of the past, and you'll instead pay for fewer ads. Like where else are people going to go for exclusive content?
dsco commented on How Trump's tariff chaos is already changing global trade theverge.com/decoder-podc... · Posted by u/stevenwoo
This was an incredible episode interweaving engineering, politics and an idea of where the world might be headed the next 20-30 years.
dsco commented on DeepSeek Open Infra: Open-Sourcing 5 AI Repos in 5 Days github.com/deepseek-ai/op... · Posted by u/ahsmha_
> the moat might be in the hardware and vertical integration.
The moat is the products that can be built. The moat is always the product - because a differentiated product can't be a commodity. And an LLM is not a product.
Google and MSFT and Meta have already "won" because they have profitable products they can build LLMs onto. Every other company seems to be burning cash to build a product, and only ChatGPT is getting the brand recognition to realistically compete.
Building an LLM is like building a database. Sure a good one unlocks new uses, but consumers aren't buying something for the database. Meanwhile enterprise customers will shop around and drive the price of a commodity down while open source alternatives grow from in-house uses to destroy moats.
Even hardware isn't a true moat. Only Google has strong vertical integration with their TPUs, and that gives them a lead. BUT Microsoft, AWS, Meta and a whole bunch of startups are building out custom silicon which will surely put pressure on them and Nvidia to keep innovating and earning that price edge.
See I kind of buy the database argument but also kind of don't. A database needs an operator whereas a LLM doesn't. You're basically melting the product into a piece of goo and the UI can be approached using natural language.
For products that still need a UI you could claim that LLM operators take over, so that's still a tax you pay to the incumbents as you interact with a product. It's sort of like we take the money which was paid to SQL operators and engineers and instead pay it to the hyperscalers.