zihotki

5 ms·

31.
by zihotki 5mo ago
> Powered by Gemini 1.5 Pro full slope
32.
by zihotki 5mo ago
How do you make it so that the model doesn't forget to follow those rules and skills? How do you make it actually understand the architecture and constraints? You can't, current models don't work that way to make it happen.
33.
by zihotki 5mo ago
I wonder if Anthropic tested their claims on a pro, 5x, 20x subscriptions. When you have infinite amount of free tokens it sure makes sense, you just throw tokens at the problem. But not in a limited usage scenarios it doesn't fly far.
34.
by zihotki 5mo ago
No benchmarks and evals present, how do you know it produces better result than /create-skill ? Naive testing doesn't provide any confidence
35.
by zihotki 5mo ago
That's a wonderful initiative! I wanted first to complain about Dutch municipalities but looking at the foundation, I see fellow dutch- and belgian-men are already focusing on them!
36.
by zihotki 5mo ago
And the people will be just simply fired for underperforming. Or anything else, it's easy when you have at will employment.
37.
by zihotki 6mo ago
Better not, it's too buggy and sluggish, it's more in a beta stage on desktop. I've been using it for the last year but not anymore.
38.
by zihotki 6mo ago
Keep in mind that heat pumps have a limit how much they can pump (it also depends on temp., there is less heat in 35F air). If your house is not well insulated, at a lower temperature it would be loosing more energy and eventually it would
39.
by zihotki 6mo ago
Would you mind sharing some details on the 54kWh battery for €6500? I'm looking for one and this sounds like a crazy deal.
40.
by zihotki 6mo ago
You should work on more and better benchmarks before claiming it's value. The benchmarks present are naive ones and only count tokens. What about performance of the model? Is it really better than caveman or just simple 'be brief&
41.
by zihotki 6mo ago
I wonder if this benchmark brings any value. Models are already quite capable and reach high scores in it.
42.
by zihotki 6mo ago
Looks like Microsoft has run out of compute and can't scale it fast enough to serve copilot users and Azure AI Foundry needs, given that the customer base is growing there as well.
43.
by zihotki 6mo ago
No worries, chats soon will catch up with the ads!
44.
by zihotki 6mo ago
No numbers/measurements/benchmarks and you dare call it "a working" one? Any real proofs that this 'works'?
45.
by zihotki 6mo ago
Productivity per dollar doesn't increase because for maturity levels 1&2 the costs for inference and extra team load (PRs quantity and size) eat up all gains. Only on level 3 one can see actual productivity impact. Most companies a
46.
by zihotki 6mo ago
Read the fine print - there is usually a limitation on charging cycles. So battery can be out of warranty even if it's 3 years old but reached limit on charging cycles.
47.
by zihotki 6mo ago
The car battery warranty is often for X years or Y cycles, whatever comes first.
48.
by zihotki 6mo ago
Did they take into account aging and depreciation of the vehicle battery, which is crazy expensive? It makes negative sense to use v2h with current limited cycles batteries of cars. These batteries are optimized for charging speed and power
49.
by zihotki 6mo ago
For coding it makes no sense to use any quantization worse than Q6_K, from my experience. More quantized models make more mistakes and if for text processing it still can be fine, for coding it's not.
50.
by zihotki 6mo ago
For those who's looking into a good homelab servers - better look at the refurbrished/used mini-pc based on 5th gen of Intel, like i5 11500T (HP ProDesk 400 G5 Mini for example), or ryzen. You'll get better thermals, better C
51.
by zihotki 7mo ago
Misconception? That's a playbook, not a misconception.
52.
by zihotki 7mo ago
This is false, you can make many plastics without fossil sources (pla, bio-pet, bio-abs, etc). The only challenge is cost and scale - it's cheaper and easier to use existing processes.
53.
by zihotki 7mo ago
Once, or even if it gets some adoption, it will be filled in with ai-generated crap or abused in other ways directly via api. That's for later, now you need to answer who is your audience is and why the target audience has to adopt thi
54.
by zihotki 7mo ago
I also have the same concerns. I have my agenda meeting free and create meetings like once a few weeks. The same is for booking flight tickets - once a decade. Adding openclaw there would take more time and effort than doing it manually. An
55.
by zihotki 7mo ago
That implies that you have a fixed time for lunch and also chat during lunch. I may be the minority but I prefer to eat when I'm hungry and focus on the food instead of chatting. And there is also allergies, as a celiac, I have big tro
56.
by zihotki 7mo ago
This is a very good question. I also struggle to find a good solution to process various signals (papers, tecniques, etc.) with my co-workers while maintaining proper work-life balance. Either you have to be a full time geek, or be left beh
57.
by zihotki 7mo ago
Recently I came across a good blog post about friendship maintenance, it's worth reading https://www.avabear.xyz/p/friendship-maintenance
58.
by zihotki 7mo ago
Please show your benchmarks and evals to prove that your template actually makes any sense and doesn't waste the credits/tokens/requests/etc.
59.
by zihotki 7mo ago
1. Local models become more capable 2. you can easily fine-tune them 3. availability of certain cloud models and your access to them is something you can't control 4. privacy of your data
60.
by zihotki 7mo ago
this was definitely written by an AI

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