TheGeminon

In the paper DeepSeek just says they have ~800k responses that they used for the cold start data on R1, and are very vague about how they got it:

> To collect such data, we have explored several approaches: using few-shot prompting with a long CoT as an example, directly prompting models to generate detailed answers with reflection and verification, gathering DeepSeek-R1-Zero outputs in a readable format, and refining the results through post-processing by human annotators.

Maybe they’ll try to build up traffic to your site from those domains and then push to sell them to you/extort by removing the redirects?

It is also unavailable from Canada.

If you read a bit further he excludes instances like that and listed films with only a single (likely intentional) title drop.

> Okay, so those are the problems. What’s the solution?

> If you need to perform a case mapping on a string, you can use LCMap­String­Ex with LCMAP_LOWERCASE or LCMAP_UPPERCASE, possibly with other flags like LCMAP_LINGUISTIC_CASING. If you use the International Components for Unicode (ICU) library, you can use u_strToUpper and u_strToLower.

Devaluing the new currency by adding lesser metals will also devalue existing currency that is "pure" as you aren't able to trust the value of the currency anymore, so the value of the existing pool of money will drop.

Its at a smaller scale, but it can be seen with counterfeit currency today. Cash-heavy businesses have to absorb whatever amount of counterfeits they accept, so they are really valuing your dollar at $0.99 if they might have to throw it out.

There are ways to gauge the confidence of the LLM (token probabilities over the response, generating multiple outputs and checking consistency), but yeah that’s outside the LLM itself. You could feed the info back to the LLM as a status/message I suppose

Democracies are more than capable of passing laws that violate the rights of minorities.

With 37,000 Palestinians marked as suspected militants, it would mean they expected up to 555,000 - 740,000 civilian casualties.

The ideal way is to release a security advisory that some CVE patches are coming with no details, so that upgrades can be prepped coordinated for a known patch day.

You just need to focus niche and upmarket, OpenAI is e.g. never going to make that "clone your chats and have your LLM-self go on pre-dates" app that went around Twitter.

It doesn’t need to be all or nothing though, humans are social creatures. If rates are similar, having 5-10% of your tribe being more exploratory could be advantageous, even if the rest are picking up slack in other areas.

Unsure if it’s pseudoscience, but similar to the argument around morning vs. evening preference being related to having someone alert for the tribe at the right times.