581–590 of 1000 posts
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Banner, sidebar, in-line, interstitial, modal… what advertising modes wouldn’t work on conversational interface?
Conversational interfaces seem ideally suited to voice assistants. When you ask "hey google, what's the default password for my router?" does it make you sit through a 30 second ad before saying "the default password is password ".
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You are missing the Microsoft partnership. MS has a 48% stake in OpenAI and provides all the infrastructure through Azure, including purpose built machines for model training. Microsoft has also launched GitHub Copilot, summarization features in Teams, and is widely reported to be adding GPT features to Bing.
MS cannot deliver successful stuff on the web at scale. They can deliver unsuccessful stuff on the web at scale, they can deliver successful stuff that turns out to be inconsequential for their bottom line on the web in the long-term (AJAX came from MS), but it's just not in their DNA to take over the web. They had lots of chances to do it during the last 20 years or so, they had all the silver bullets at their dispo…
It's this type of confidence that you come back to HN over and over for.
Let's ignore Azure, Office 365, and Microsoft's other online properties. In just video games: Microsoft owns and operates the Xbox network with over 100 million active monthly users[1]. That runs on the internet with all the features of a social network and more. I think they can deliver successful stuff at web scale OK, whatever their other shortcomings.
1 - https://hothardware.com/news/xbox-live-surpasses-100-million...
At this point, Microsoft should do whatever it can to make a deal with Apple to place a ChatGPT powered platform in the iPhone/i Devices. Most of the people using "computers" nowadays do it through mobile phones, and Google has a strong grip in that market with Android, with only Apple giving them some competition. Thus the only platform where Microsoft could really compete is in iOS. If Microsoft + Apple could get t…
Microsoft would then need to pay for ChatGPT computation, model retraining, maybe testing of deployments/upgrades, maybe sponsor Apple's initial development efforts, plus pay for the expensive deal to be Apple's default choice.
Am I understanding the problem correctly? It looks like a lot of work and very expensive if I'm getting it right.
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> So my question is, how hard of a problem is that with LLMs? I get the sense that LLMs are trained on a very large data set all at once, but that it is difficult to incrementally update them with new data. It's the opposite. Getting an LLM to learn the basics of grammar and paragraph-level language structure is the "hard" part. Once you have that, further fine-tuning, specialisation, or other incremental changes are…
It's not about "Well behaved." All we're teaching it is our biases.
I’m curious to hear why Google isn’t going to win in this AI arms race. The way I see it, Google: * is effectively the gateway to the internet, owning the most popular website in the world, mobile OS, and browser * has infinite LIVE data, both unstructured and structured (knowledge graph) * has infinite compute resources * employs the world’s best AI scientists and invests heavily in AI * has decade(s) of experience…
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Those new language models are "Google killers" because they reset all the assumptions that people have made about search for several decades. Imagine that people start using those chat bots massively as a replacement for Google search. Then the notion of keyword disappears. Google AdSense becomes mostly irrelevant. Of course, Google is a giant today with a history of machine learning innovation. So they have a good c…
All these conversations have one glaring omission. As it stands right now, ChatGPT is a net negative on the ecosystem it exists in. What does that mean? ChatGPT extracts value from the ecosystem by hoovering up primary sources to provide answers, but what value does ChatGPT give back to these primary sources? What incentivizes content creators to continue producing for ChatGPT? Right now, nothing. ChatGPT (or its des…
I agree this is bland corporate speak. But it reminded me of a question that's been floating around: A number of pundits, here on HN and elsewhere, keep referring to these large language models are "google killers." This just doesn't make sense to me. It feels like Google can easily pivot its ad engine to work with the AI-driven chat systems. It can augment answers with links to additional sources of information, be…
Those new language models are "Google killers" because they reset all the assumptions that people have made about search for several decades. Imagine that people start using those chat bots massively as a replacement for Google search. Then the notion of keyword disappears. Google AdSense becomes mostly irrelevant. Of course, Google is a giant today with a history of machine learning innovation. So they have a good c…
At this point, Microsoft should do whatever it can to make a deal with Apple to place a ChatGPT powered platform in the iPhone/i Devices. Most of the people using "computers" nowadays do it through mobile phones, and Google has a strong grip in that market with Android, with only Apple giving them some competition. Thus the only platform where Microsoft could really compete is in iOS. If Microsoft + Apple could get t…
Earlier quoted context omitted.
> So my question is, how hard of a problem is that with LLMs? I get the sense that LLMs are trained on a very large data set all at once, but that it is difficult to incrementally update them with new data. It's the opposite. Getting an LLM to learn the basics of grammar and paragraph-level language structure is the "hard" part. Once you have that, further fine-tuning, specialisation, or other incremental changes are…
It's not about "Well behaved." All we're teaching it is our biases.