Questions

That is what I was thrown, questions and quite a few. To get there I need to take you on a little journey it was around 1988 I got my fingers on some defence data (can’t tell you which one) the data shows results of some kind (I had no idea at that time what results they were) but the part that was, was the fact that they had log files and these files gave locations. It comes with the setting of log files. These files gives the hacker way too much information, what solutions are being used, what IT architecture was in play, in those days I was a simpleton. I never realised the power that this kind of information had, or as some hackers said in this setting “Copy me, I want to travel” This part matters, because around 2014 (after the traitor Manning gave the files to Wikileaks) I got my hands on some of them. The compression used was one I had never used before and it took a few days to get the program. What I saw was that log files were here too. It wasn’t that obvious, but I noticed them and these log files gave part of that current architecture to whatever hacker got (or was given) access to it. So a setting that was about 37 years old. This setting has been in place for that long a time, so as you see this, we can start with the articles, so keep what I just gave you in mind.

The article was given to us by NDTV (at https://www.ndtv.com/world-news/openai-accuses-deepseek-of-distillation-what-it-is-how-it-works-us-china-tensions-11002628) I got the news from Reuters, but they are behind a paywall, so NDTV gets the honour. We see ‘OpenAI Accuses DeepSeek Of Distillation: What It Is, How It Works’ and hit comes with “In the AI world, distillation is a common technique where a smaller or newer AI model learns by studying the responses of a larger, more advanced model” And we also see “The company told the House Select Committee on China that DeepSeek allegedly relied on a technique known as “distillation” to extract responses from advanced US AI systems and use them to train its own chatbot, R1,” according to a memo obtained by Reuters. The American AI giant stated that the Chinese firm was finding clever ways to bypass safety systems and trying to take advantage of the technology that US companies spent billions of dollars developing.” Now consider that (according to some) “OpenAI is valued at approximately $500 billion, cementing its position as the world’s most valuable venture-backed company” when you get that and when you realise that log files could be used to ‘distill’ information. Now imagine that this information could lead to corporate knowledge? So when you realise that this setting was out there for almost 40 years, do you think that more concise solutions would have been needed? So when we see that Sam Altman is prone to ‘excuses’ like the setting with Nvidia, the stage with Microsoft and now this? What is Sam Altman not telling its audience? Isn’t anyone taking that leap? So whilst I remember that at least one of the Pentagon routers still have the admin password to “Cisco123” you might consider the setting that this article (as well as the Reuters) version is a preamble to bad news and when you consider that Americans have an overactive dislike of anything Chinese (like DeepSeek)  and when we get to “In the AI world, distillation is a common technique where a smaller or newer AI model learns by studying the responses of a larger, more advanced model. Instead of training that model completely from scratch, the newer model observes and mimics the advanced model’s answers and behaviors.” The setting I gave you makes the setting of better protection even more sense. Especially as this impacts a expected $500,000,000,000 valuation. There are days that I don’t have that amount in my wallet (100% of the time) so I am left with questions. So in the first, why was there no better protection and in the second, how did DeepSeek get access to them. I would normally tend towards the inside job notion. And that setting is seen (personally and speculatively)  on a few levels and in a few ways, but happy go lucky, the media isn’t on that level yet (or ever). So does anyone else have the idea that something doesn’t seem to add up or match to the stage of a 500 billion dollar solution? Just a few questions come to mind at this point. 

Have a great day today, there about to have breakfast in Toronto and I kinda miss than frisky cold atmosphere whist drinking an elephant coffee (Jumbo cappuccino with full cream milk and three raw sugars) whilst nibbling on some sandwich (nearly anything goes there). So enjoy your day today.