<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>dathinab</author><text>I don&amp;#x27;t think if complexity is the right metric.&lt;p&gt;front-end JS can easily also become very complex&lt;p&gt;I think a better metric is how close you are to reinventing a wheel for the thousands time. Because that is what LLMs are good at: Helping you write code which nearly the same way has already been written thousands of times.&lt;p&gt;But that is also something you find in backend code, too.&lt;p&gt;But that is also something where we as a industry kinda failed to produce good tooling. And worse if you are in the industry it&amp;#x27;s kinda hard to spot without very carefully taking a hounded (mental) steps back from what you are used to and what biases you might have.</text><parent_chain><item><author>aniviacat</author><text>Current LLMs fail if what you&amp;#x27;re coding is not the most common of tasks. And a simple web app is about as basic as it gets.&lt;p&gt;I&amp;#x27;ve tried using LLMs for some libraries I&amp;#x27;m working on, and they failed miserably. Trying to make an LLM implement a trait with a generic type in Rust is a game of luck with very poor chances.&lt;p&gt;I&amp;#x27;m sure LLMs can massively speed up tasks like front-end JavaScript development, simple Python scripts, or writing SQL queries (which have been written a million times before).&lt;p&gt;But for anything even mildly complex, LLMs are still not suited.</text></item><item><author>binocarlos</author><text>I would pay hundreds of dollars per month for the combination of cursor and claude - I could not get my head around it when my beginner lever colleague said &amp;quot;I just coded this whole thing using cursor&amp;quot;.&lt;p&gt;It was an entire web app, with search filters, tree based drag and drop GUIs, the backend api server, database migrations, auth and everything else.&lt;p&gt;Not once did he need to ask me a question.  When I asked him &amp;quot;how long did this take&amp;quot; and expected him to say &amp;quot;a few weeks&amp;quot; (it would have taken me - a far more experienced engineer - 2 months minimum).&lt;p&gt;His answer was &amp;quot;a few days&amp;quot;.&lt;p&gt;What I&amp;#x27;m not saying is &amp;quot;AGI is close&amp;quot; but I&amp;#x27;ve seen tangible evidence (only in the last 2 months), that my 20 year software engineering career is about to change and massively for the upside.  Everyone is going to be so much more productive using these tools is how I see this.</text></item><item><author>jsheard</author><text>There&amp;#x27;s no accounting for taste, but keep in mind that all of these services are currently losing money, so how much would you actually be willing to pay for the service you&amp;#x27;re currently getting in order to let it break even? There was a report that Microsoft is losing $20 for every $10 spent on Copilot subscriptions, with heavy users costing them as much as $80 per month. Assuming you&amp;#x27;re one of those heavy users, would you pay &amp;gt;$80 a month for it?&lt;p&gt;Then there&amp;#x27;s chain-of-thought being positioned as the next big step forwards, which works by throwing more &lt;i&gt;inferencing&lt;/i&gt; at the problem, so that cost can&amp;#x27;t be amortized over time like training can...</text></item><item><author>JanSt</author><text>Using Claude 3.5 Sonnet in Cursor Composer already shows huge benefits for coding. I&amp;#x27;m more productive than ever before. The models are still getting better and better. I&amp;#x27;m not saying AGI is right around the corner or that we will reach it, but the benefits are undeniable. o1 added test-time compute. No need to be snarky.</text></item><item><author>bdndndndbve</author><text>The current AI hype wave has really hit a nerd soft spot - that we&amp;#x27;re steps away from AGI. Surely if a computer can make plausible-looking but incorrect sentences we&amp;#x27;re days away from those sentences being factually accurate! The winter after this is gonna be harsh.</text></item></parent_chain></comment><story><title>TSMC execs allegedly dismissed OpenAI CEO Sam Altman as &apos;podcasting bro&apos;</title><url>https://www.tomshardware.com/tech-industry/tsmc-execs-allegedly-dismissed-openai-ceo-sam-altman-as-podcasting-bro</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>znpy</author><text>I had similar experiences:&lt;p&gt;1. Aasked ChatGPT to write a simple echo server in C but with this twist: use io_uring rather than the classic sendmsg&amp;#x2F;recvmsg. The code it spat out wouldn&amp;#x27;t compile, let alone work. It was wrong on many points. It was clearly pieces of who-knows-what cut and pasted together. However after having banged my head on the docs for a while I could clearly determine from which sources the code io_uring code segments were coming. The code barely made any sense and it was completely incorrect both syntactically and semantically.&lt;p&gt;2. Asked another LLM to write an AWS IAM policy according to some specifications. It hallucinated and used predicates that do not exist at all. I mean, I could have done it myself if I just could have made predicates up.&lt;p&gt;&amp;gt; But for anything even mildly complex, LLMs are still not suited.&lt;p&gt;Agreed, and I&amp;#x27;m not sure we are any close to them being.</text><parent_chain><item><author>aniviacat</author><text>Current LLMs fail if what you&amp;#x27;re coding is not the most common of tasks. And a simple web app is about as basic as it gets.&lt;p&gt;I&amp;#x27;ve tried using LLMs for some libraries I&amp;#x27;m working on, and they failed miserably. Trying to make an LLM implement a trait with a generic type in Rust is a game of luck with very poor chances.&lt;p&gt;I&amp;#x27;m sure LLMs can massively speed up tasks like front-end JavaScript development, simple Python scripts, or writing SQL queries (which have been written a million times before).&lt;p&gt;But for anything even mildly complex, LLMs are still not suited.</text></item><item><author>binocarlos</author><text>I would pay hundreds of dollars per month for the combination of cursor and claude - I could not get my head around it when my beginner lever colleague said &amp;quot;I just coded this whole thing using cursor&amp;quot;.&lt;p&gt;It was an entire web app, with search filters, tree based drag and drop GUIs, the backend api server, database migrations, auth and everything else.&lt;p&gt;Not once did he need to ask me a question.  When I asked him &amp;quot;how long did this take&amp;quot; and expected him to say &amp;quot;a few weeks&amp;quot; (it would have taken me - a far more experienced engineer - 2 months minimum).&lt;p&gt;His answer was &amp;quot;a few days&amp;quot;.&lt;p&gt;What I&amp;#x27;m not saying is &amp;quot;AGI is close&amp;quot; but I&amp;#x27;ve seen tangible evidence (only in the last 2 months), that my 20 year software engineering career is about to change and massively for the upside.  Everyone is going to be so much more productive using these tools is how I see this.</text></item><item><author>jsheard</author><text>There&amp;#x27;s no accounting for taste, but keep in mind that all of these services are currently losing money, so how much would you actually be willing to pay for the service you&amp;#x27;re currently getting in order to let it break even? There was a report that Microsoft is losing $20 for every $10 spent on Copilot subscriptions, with heavy users costing them as much as $80 per month. Assuming you&amp;#x27;re one of those heavy users, would you pay &amp;gt;$80 a month for it?&lt;p&gt;Then there&amp;#x27;s chain-of-thought being positioned as the next big step forwards, which works by throwing more &lt;i&gt;inferencing&lt;/i&gt; at the problem, so that cost can&amp;#x27;t be amortized over time like training can...</text></item><item><author>JanSt</author><text>Using Claude 3.5 Sonnet in Cursor Composer already shows huge benefits for coding. I&amp;#x27;m more productive than ever before. The models are still getting better and better. I&amp;#x27;m not saying AGI is right around the corner or that we will reach it, but the benefits are undeniable. o1 added test-time compute. No need to be snarky.</text></item><item><author>bdndndndbve</author><text>The current AI hype wave has really hit a nerd soft spot - that we&amp;#x27;re steps away from AGI. Surely if a computer can make plausible-looking but incorrect sentences we&amp;#x27;re days away from those sentences being factually accurate! The winter after this is gonna be harsh.</text></item></parent_chain></comment><story><title>TSMC execs allegedly dismissed OpenAI CEO Sam Altman as &apos;podcasting bro&apos;</title><url>https://www.tomshardware.com/tech-industry/tsmc-execs-allegedly-dismissed-openai-ceo-sam-altman-as-podcasting-bro</url></story>