The video is privated now, but the timelapse is weird. Sometimes it skips only seconds before the next screenshot and sometimes it skips probably hours forward.
That doesn't mean the company is losing money in aggregate on these subscriptions. Buffets are still in business even though some people gorge themselves silly at them. The incremental cost may exceed the incremental revenue for a particular person or minority group, but that's not how these businesses measure profitability.
>During early testing, Stripe reported that Fable 5 compressed months of engineering into days. In a 50-million-line Ruby codebase, the model performed a codebase-wide migration in a day that would otherwise have taken a whole team over two months by hand.
Who is refactoring by hand? This comparison is not relevant in 2026.
>And most IoT devices aren't doing video transcoding at all.
The data gets streamed to the cloud where servers with GPUs transcode it. I'm pointing out that IoT devices historically have reached out to servers with GPUs even before GenAI.
Due to how simple they are to work with they will become popular. Compare NLP before and after GPT-3. GPT-3 majorly brought down the complexity and skill needed for doing NLP tasks even if traditional NLP is much much faster. Ultimately ease of development will win out and the industry will work towards optimizing running such LLMs to make it cheap enough to run.
Why not use those extra fiber optic cables as part of the actual internet? You can immediately start making money off of it due to people getting legitimate value from it. If other lines were to be cut or have issues your lines would act as a backup. And yes if things got overloaded it would act slower. It seems unoptimal to make a completely separate network.
There is ton of utility. I use it all the time to study, to look up what's happening in the world, to understand the context behind what others are saying, cooking recipes, and much more. Considering LLMs have access to tools for searching the internet they have a superset of the capabilities of Google and consumers got a lot of value from Google. In fact from putting ads on the search results Google has made billions of dollars from such consumers getting value from their service.
When you ask it to give you a digest of current events or as a study aid how are you ensuring that what your reading is a valid representation of the source material? Has it never given you false information?
Not OP but, anyway, AI output should be treated like any other source material.
I study from reputable sources every day and never cease to be amazed by how many errors or misconceptions they have. Peer-reviewed articles, books from renowned scholars, news from major publications… regardless of the source, false information and contradictions accumulate. I’d wager that AI, besides helping me uncover these issues in the literature, has had a lower error rate than most of the materials that I read on a daily basis.
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