zihotki

4 ms·

1.
by zihotki 18d ago
My bet is that humans will kill humans faster than AI. AI enables not only good actors, but also bad actors: Russians, Iranians, Houthis, other terrorist groups - they all now effectively use AI to speed-up development of their weapons as w
2.
by zihotki 19d ago
Landing page screams llm-isms, and after reading and looking around, I still can't identify what problems it tries to solve. The features described are just standard integration glue, they have little relevance to context or why's
3.
by zihotki 2mo ago
Have you tried reading/reviewing the code claude generates? That could have prevented the issue with the accounts.
4.
by zihotki 3mo ago
If everyone starts applying cooldowns, won't it postpone the problem? So now there is a considerable amount of users who are affected and someone from the affected group discovers the infection and reports it. But if everyone will be d
5.
by zihotki 3mo ago
That's a good question indeed. Also I wonder why they picked java as the implementation language.
6.
by zihotki 3mo ago
Since LLM can create the pages for non-techical people, it for sure can also help publishing the page
7.
by zihotki 3mo ago
That sound interesting. Would you mind sharing it?
8.
by zihotki 3mo ago
That resonates a lot with my experience in Netherlands. It's way friendlier for expats but the barrier is there
9.
by zihotki 3mo ago
Similar - no (I'd be glad to be proven wrong), but you can find some small suppliers focused on specific niche like https://www.motedis.com if you need the profiles.
10.
by zihotki 3mo ago
I'm building a homelab as well and fully second the ode. It feels incredible to do the setup via llm, like they are the perfect fit.
11.
by zihotki 3mo ago
tldr - Qwen 3.5 9B finetuned on a "simple secret dataset" (500 million tokens of Claude 4.8 Opus, Claude 5 Fable, GPT 5.5 and similar models)
12.
by zihotki 3mo ago
I found that a good tool helps a lot once I switched to Github Copilot app. It solved the friction and mental tax for me. I easily manage 4 sessions in parallel on same or different projects while 2 was max in the past. The bottleneck now i
13.
by zihotki 3mo ago
Not that much - a bit better but still negligible. Prefill is highly parallelizable and benefits from many cores. NVidia GPU's simply have several times more cores than even Pros.
14.
by zihotki 3mo ago
From personal experience - it works, but you won't get a comfortable time to first token (latency is high). The reason is that prefill on Macs is bad. You need to have a lot more cores to do it quick. It's close to instant for sma
15.
by zihotki 3mo ago
I wonder how it compares to https://github.com/refactoringhq/tolaria They look similarly scoped. I haven't used it yet and it's great that there is more choice now
16.
by zihotki 3mo ago
In real life only a minority of teams achieved good results according to Circle CI report. And there is one notable anecdotal source proving that it is possible - https://ideas.fin.ai/p/2x-nine-months-later
17.
by zihotki 3mo ago
The solution is called curated package feed. Using private one instead of default public package source, you get a trusted source. All updates should be done by first pulling the new packages to the private feed and only after passing the r
18.
by zihotki 3mo ago
Are there any benchmarks/evals to back the claims? Or how do you know that it helps reducing waste?
19.
by zihotki 4mo ago
Isn't that exactly the marketing part? He is the marketing and the channel, he has optimized marketing process.
20.
by zihotki 4mo ago
And the best recommendation security teams can give - keep your SBOM strict, use min release age policy (sounds more like band-aid). That's a scary world to live in.
21.
by zihotki 4mo ago
I wonder if adding an artificial barrier in form of a donation could help. That's probably the only remaining way to show the good faith.
22.
by zihotki 4mo ago
Pencil and paper - that's the classical way a lot of developers from western europe were taught to code. Back to the basics
23.
by zihotki 4mo ago
> To screw with OpenAI's IPO? That's actually a very interesting idea. At least it could be a cherry on a cake given he lost the lawsuit with OpenAI.
24.
by zihotki 4mo ago
Are there any benchmarks/evals to see if this particular one is doing anything good comparing to, let's say, plan mode? How do you measure it actually works and you don't waste tokens and your personal time? I fail to see any
25.
by zihotki 4mo ago
Wait, that's actually a great feature. Let me contact a friend in Google and make a suggestion..
26.
by zihotki 4mo ago
> Crypto is fast. Markets move violently. Complexity is accelerating. > Most users discover risk only after damage is done. and then > Resonance Labs (BVI) Limited > 2nd Floor, Ellen L. Skelton Building, > Fishers Lane, Road
27.
by zihotki 5mo ago
MS is more like assembling the surfaces, it's not the same as having a full vertical integration like Apple is trying to achieve with their contracts with Intel, in-house modem, etc.
28.
by zihotki 5mo ago
I think that's what author implies by this sentence in the intro: > It’s still your responsibility to understand your system and define what “correctness” means, and you need a high-level understanding of temporal logic.
29.
by zihotki 5mo ago
It's an unreadable word soup in general
30.
by zihotki 5mo ago
I'll wait for the follow up posts "setting up reasonable budgets for ai-native organization" and "validating (benchmarks/evals) that your ai-native setup has any benefit over a simplistic ai-assisted org"

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