I vibed the landing page so there are problems with it. Since it is my first app, I don't know how to write a copy. I will change it though. Thank you for your input.
I know podcasts are terribly unfashionable now, because they're not AI-powered and MP3 encoders barely use enough power to warm a teaspoon of coffee never mind boil an ocean, but I feel like Coffee Break German would want to have a word with that claim too.
Maybe unlock means "recognize and solve a problem with an order of magnitude fewer tokens than the first time you did it". The same way humans might spend a lot of time thinking about a certain problem and various ways to solve it, but once they go through that process, and then recognize it again, they don't need to go to the same process and jump right to the solution.
I'll have a stab at this. I'll start with an attempt at justifying the remark that an agent which is a good coder will be good at other tasks.
1. Coding is, as a technical endeavour, relatively difficult (similarly for mathematics). So a model which performs well on this task can be expected to easily handle also-technical-but-slightly-easier tasks, like understanding (musical) harmony theory or counterpoint -- for much the same reason that human programmers/mathematicians/scientist don't struggle to understand those "easier" theories.
2. Reinforcement learning augments a base models ability to excel in something else that's "difficult", namely to "look ahead" and plan multiple steps in advance. That's literally how the training algorithm works, generating multiple paths at once, and rewarding intermediate steps in those paths which succeed in attaining the goal. And that skill, too, is extremely useful in other domains. An AI agent which learns that to break a problem into sub-problems, and then tackle each in turn methodically -- it stands to reason that it can apply that to, say, a business plan.
Note: 1 & 2 are not independent, nor are frontier models' excellence in these domains magical: it ultimately boils down to the availability of massive datasets (in particular for coding) and totally objective metrics (in the case of mathematics: solved math problems). That's the key ingrediant for reinforcement learning to be so effective.
So: the skills are transferrable because they're difficult, and require lots of planning. That models are so good at them is a fluke, and in a parallel world where humans created git repo after git repo of business plans, it might be that which we lean on to teach a reinforcement learning algorithm how to "reason" and "plan".
Now let's turn our attention to the "synergies" aspect, which I agree with. Let's say your agentic model, which is already excellent at reasoning and planning, acquires a new or improved capability which allows it to search the domain space, calculate, etc. much better than before -- this capability can now bear upon the plan, or be factored into the plan. For example, the model might be able to say "I don't need to worry about this particular subproblem for now; I can rely on my "mathematica" capability to deal with it when I absolutely need."
Or to put it differently: monkeys, like humans, are able to use (rudimentary) tools. They'll take a rock, and use it to crack open a coconut (or whatever). But a human being, with far superior reasoning and planning abilities, takes that tool, and uses it to make an even better tool -- and the result after many iterations of this process is civilization as we know it, while monkeys are still stuck trying to crack open nuts with rocks.
Are you actually EU? You know we are not one homogeneous state right? There are currently 27 nations, in which policy and circumstance varies between even at a regional level. There is immense poverty in some nations, notably Spain or Italy, but even Germany. I've seen it first hand, its heartbreaking.
Thanks for sharing this chart. I am amazed how Poland has less poverty than Germany. Maybe is East Germany bringing the average down for the entire country? Even then, still very impressive.
Sure consumer goods are cheaper, but I don't need more "stuff". The essentials I need for my family: food, energy, housing, and most importantly time are much less accessible. Sure, we could buy bulk, move to a LCOL area and work remote, but not everyone can do that.
This is the trend that a lot of people in my generation complain about.
> You are specifically interested in the job for reasons other than the money. It is unlikely that other applicants want the job as badly as you do.
This is really rat race to the bottom. Obviously it goes without saying that people passionate about a project get preference, but if you are trying to wind yourself up to be "passionate" your winding yourself up to accept less for more work.
> Do not ask employees for a referral!
This amount of times I get asked for blind referrals is insane. Maybe it is a non-western thing, but I nor anyone else I know does this or accepts these requests. It only kills an application, since it looks deceitful, an applicant should stand on their own.
> If the company is <30 people, reach out to the CEO directly.
There is already a lot of spam filtering through their inbox, this is white noise. This maaaay only work if you know them on other channels and they are "cool".
> Again, send more than one email.
lol
CS is oversaturated right now for many reasons. Regardless, mass applications do not work unless you are cheating, targeted applications do not work unless everyone else does the same. The best bet is internal networks, or searching for work in unexpected locations, e.g. webmaster at the local pulp mill.
source: I worked in hiring for small stints over 7 years
I blame infiltration by bots slowly shifting the Overton window. Did this site not get "weird" in the last few years?
Not to think to highly of ourselves, I for one am a genuine idiot, but the crowed here likely has more influence than a lot of other online forums. Making it a worthwhile target, especially on the AI front. Plus the site is an easy to integrate into a bots with the minimal website and all.
What a tittle, almost makes you feel good for vibe coding out slop without knowing half of what is going on. What are even the examples marginal css changes on already perfectly good designs?
If you want to look at the bright side, this design guide will be easier to spot SAAS, slop as a service.
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> The only German course that actually produces speakers.
Hahaha, You better add a source to that. Without being am established household name like Duolingo or Rosetta Stone, that sounds like a scam.
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