mediaman

15 ms·

211.
by mediaman 2y ago
If you read the paper, they explicitly define "productivity" as real sales per employee. Your point about service versus food would be valid except that, apparently, they weren't being paid well for the service, because real
212.
by mediaman 2y ago
The paper does not cover "mid-tier dining." It covers fast food because that's where they had good data. Moreover, real restaurant spending in total is up, so while your personal dining decisions are interesting they don&#x27
213.
by mediaman 2y ago
Using BlackRock as a comparison is really disingenuous. They're basically a Vanguard. They hold assets as trustee for the actual owners of the wealth. BlackRock and Vanguard can't wake up one day and decide to put in a bid for Ope
214.
by mediaman 2y ago
Agree, BM25 honestly does an amazing job on its own sometimes, especially if content is technical. We use it in combination with semantic but sometimes turn off the semantic part to see what happens and are surprised with the robustness of
215.
by mediaman 2y ago
Everything I tried previously had very disappointing results. I was trying to get rid of Azure's DocumentIntelligence, which is kind of expensive at scale. The models could often output a portion of a table, but it was nearly impossibl
216.
by mediaman 2y ago
You don't need to wait for Google. Their Jan 21 checkpoint for their fast reasoning model is available on AIStudio. It shows full reasoning traces. It's very good, much faster than R1, and although they haven't released pric
217.
by mediaman 2y ago
It's not clear that writing poetry is a bad use case. Reasoning models seem to actually do pretty well with creative writing and poetry. Deepseek's R1, for example, has much better poem structure than the underlying V3, and writer
218.
by mediaman 2y ago
You can just use it and see for yourself. It's quite good. I do believe they were honest in the paper, but the $5.5m training cost (for v3) is defined in a limited way: only the GPU cost at $2/hr for the one training run they did
219.
by mediaman 2y ago
So there's a tradeoff between image resolution and dynamic range, for a given sensor size?
220.
by mediaman 2y ago
It’s not about data, it’s customer segmentation. Frequent customers are more price sensitive, and are willing to use the app to get all the discounts, while occasional customers will not, so they can capture both the more price sensitive pa
221.
by mediaman 2y ago
I didn't say it's easy, and it's probably not the right fit for you. But it's at least a plan with a good end-game, which a lot of $10/mo online only business models simply cannot turn into something viable. 50-1,00
222.
by mediaman 2y ago
Yes. But it's not for everyone, especially not for a lot of engineers. Many of these buyers feel more comfortable meeting you in-person, so going to trade shows, writing articles for niche trade publications, and sometimes doing site v
223.
by mediaman 2y ago
I don't understand why people even think about selling $10/mo licenses. Just go sell $2-4k/mo SaaS to a medium sized traditional industry that has ancient, crummy software with a target customer employee size of 50 - 1,000 pe
224.
by mediaman 2y ago
Yes, they're just a petrostate. Over half their economy is oil and mining.
225.
by mediaman 2y ago
Norway doesn't care. It is a country with a reputation for good governance and northern-European economic strength. But economically, it is a country that is largely a gas station: like a democratic Russia with more competent governanc
226.
by mediaman 2y ago
One source [1] puts it at 60-75% of revenue as third-party API, most of which is AWS. [1] https://www.tanayj.com/p/openai-and-anthropic-revenue-breakd...
227.
by mediaman 2y ago
Who are you referring to? Putin and Russian oligarchs? If so, how would you imagine the mechanics of prosecuting them to work?
228.
by mediaman 2y ago
Why not use jsonb for this kind of thing? Store the schema in one table, one per client, or perhaps one per table per client, and then store the data for that in another table, segregated by customer and table type, with row data stored in
229.
by mediaman 2y ago
I believe it's worth pointing out that with your Toyota, you're still buying an American car. The vast majority of Toyota vehicles sold in America are made in US plants. Which is a good thing! It shows that those other quality iss
230.
by mediaman 2y ago
The subsidy was to incentivize adoption of technology to fight climate change. As a result, he took actions that reduced CO2 emissions, which everyone benefits from.
231.
by mediaman 2y ago
Can codebuff handle larger files (6,000 loc) and find the right classes/functions in that code, or if it finds the file with the necessary info does it load the entire file in?
232.
by mediaman 2y ago
Hiring consistently high performing employees is not a solved problem. Making it hard to fire low performers results in low performing teams, and there are no reliable solutions to this.
233.
by mediaman 2y ago
The API returns how many tokens were used in reasoning, so it would be easy to see any average change in reasoning token consumption. And token prices in general have been extremely deflationary over the last 18 months.
234.
by mediaman 2y ago
The simple answer is: I don't care. I'll statistically figure out what the typical total cost per call is from experience, and that's what matters. Who cares if they lie about it, if the model's cost per call fits my bud
235.
by mediaman 2y ago
One trick that people are using, when using Cursor and specifically Cursor's compose function, is to dump library docs into a text file in your repo, and then @ that doc file when you're asking it to do something involving that li
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by mediaman 2y ago
There's a couple observations about these numbers. The first is that the numbers don't add up to 100%, because students can select more than one race. For the class of 2028 they add up to close to 100%, but they add up to over 120
237.
by mediaman 2y ago
For my application we do a land-and-expand strategy, where we use a mix of BM25 and semantic search to find a chunk, but before showing it to the LLM we then expand to include everything on that page. It works pretty well. It might benefit
238.
by mediaman 2y ago
Do you believe that no subfactor can ever have a sign opposite of the factor of which it is a component?
239.
by mediaman 2y ago
They don't mention BM25, which still outperforms much of semantic search. A fun exercise is to watch the benchmarks of the latest semantic embeddings models and see that they still struggle to match good 'ol BM25. BM25 uses the re
240.
by mediaman 2y ago
The systems described in the article don’t sound like RAG at all. RAG systems have a much lower propensity to hallucinate, and generate verifiable citations from the source material. Though I think they’re better as research aides than “wri

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