I second that and I think the HN moderation (@dang) here should do a better job keeping things on topic. That is actually super important because HN will eventually just be another reddit. Quality of conversation here has been deteriorating already significantly in the past years due to more and more people with insignificant curiosity about technology and science but all the more interest for engaging in pointless political debates.
There are other platforms for discussing Trump and his shenanigans. Reddit for example.
wouldn't be so sure about that in Germany, even if technically and legally true. i've heard too many times about spamigation cases where shysters send mass cease and desist letters. even if those are complete bullshit and without substance you're well advised to respond and competent at that - which means you'll have to invest in a lawyer ... yadda yadda.
Overselling is only the tip of the iceberg. The real problem is that a lot of managers base their decision to introduce language models into business processes on cutting edge Pro edition demos, but what is, of course, actually used in production is some cheap Nano/Flash/Mini version.
Gemini Pro neither as is nor in Deep Research mode even got the number of pieces or relevant squares right. I didn't expect it to actually solve it. But I would have expected it to get the basics right and maybe hint that this is too difficult. Or pull up some solutions PDF, or some Python code to brute force search ... but just straight giving a totally wrong answer is like ... 2024 called, it wants its language model back.
Instead in Pro Simple it just gave a wrong solution and Deep Research wrote a whole lecture about it starting with "The Geometric and Cognitive Dynamics of Polyomino Systems: An Exhaustive Analysis of Ubongo Puzzle 151" ... that's just bullshit bingo. My prompt was a photo of the puzzle and "solve ubongo puzzle 151"; in my opinion you can't even argue that this lecture was to be expected given my very clear and simple task description.
My mental model for language models is: overconfident, eloquent assistant who talks a lot of bullshit but has some interesting ideas every now and then. For simple tasks it simply a summary of what I could google myself but asking an LLM saves some time. In that sense it's Google 2.0 (or 3.0 if you will)
Google pays Mozilla, Mozilla has more money, Mozilla spends more money (especially in compensations to a bloated C-level), Mozilla needs more money, Google threatens with paying less, Mozilla will lube up and bend over.
If they keep their shit together and ride the surveillance wave then I don't see what should keep them from increasing 15fold by 2050. Their technology is not at all dependent on AGI, which is why I don't understand why they are always thrown in together with OpenAI et al.