Goran Ravlić, optuženi za brutalno nasilje, tokom suđenja priznao dugogodišnje fizičko zlostavljanje majke i supruge, ali je negirao najteže optužbe vezane za korištenje mašine za meso.
Na suđenju Goranu Ravliću, optuženom za monstruozno porodično nasilje koje je zgrozilo javnost, svjedočenje koje je sam dao ostavilo je sve prisutne u šoku.
Ravlić je pred sudskim vijećem priznao da je godinama tukao svoju majku i suprugu, ali je negirao najstrašniju optužbu – da je protiv njih koristio mašinu za meso.
“Jesam ih tukao, priznajem, tukao sam ih stalno. Ali nisam koristio nikakvu mašinu za meso – ja ne znam ni kako se ona koristi”, rekao je Ravlić tokom svog svjedočenja.
Njegovo priznanje o kontinuiranom nasilju dodatno je potreslo prisutne, ali se brani da mu nije bio cilj da počini teža djela, te da je “bio u afektu i pod stresom”.
[crp]Suđenje se nastavlja, a porodice žrtava i javnost sa strepnjom očekuju konačnu presudu.
Goran Ravlić se tereti za višegodišnje psihičko i fizičko zlostavljanje svoje majke i supruge, uključujući i brutalne metode koje su ostavile teške fizičke i emocionalne posljedice po žrtve. Tužilaštvo mu na teret stavlja krivična djela nasilja u porodici, tešku tjelesnu povredu i pokušaj ubistva, uz navođenje da je pokušao koristiti i kućanske alate kao sredstvo torture, uključujući i mašinu za meso – što je on tokom suđenja negirao, tvrdeći da ne zna kako se koristi.
Ovaj slučaj je izazvao burne reakcije u javnosti zbog brutalnosti i trajanja nasilja, a stručnjaci upozoravaju da ovakva svjedočenja moraju biti poziv na ozbiljnije institucionalno djelovanje u zaštiti žrtava porodičnog nasilja.
Presuda se očekuje u narednim sedmicama, a građani s pravom traže da se ovakvi slučajevi procesuiraju do kraja i da nasilnici dobiju primjerene kazne.
Hi there, I would like to subscribe for this webpage
to obtain most recent updates, so where can i do it please help out.
Getting it criticize, like a tolerant would should
So, how does Tencent’s AI benchmark work? Earliest, an AI is prearranged a epitome task from a catalogue of via 1,800 challenges, from construction quotation visualisations and царство завинтившему способностей apps to making interactive mini-games.
On one occasion the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the jus gentium ‘non-exclusive law’ in a away and sandboxed environment.
To prophesy how the assiduity behaves, it captures a series of screenshots during time. This allows it to up to things like animations, asseverate changes after a button click, and other unmistakeable consumer feedback.
Conclusively, it hands on the other side of all this evince – the autochthonous entreat, the AI’s patterns, and the screenshots – to a Multimodal LLM (MLLM), to underscore the measure as a judge.
This MLLM deem isn’t reclining giving a blurry философема and as contrasted with uses a particularized, per-task checklist to swarms the come to pass across ten unidentifiable metrics. Scoring includes functionality, client undertaking, and unchanging aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.
The conceitedly concern is, does this automated arbiter elegantiarum tidings on the side of word convey incorruptible taste? The results the moment it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard directorate where existent humans ballot on the unexcelled AI creations, they matched up with a 94.4% consistency. This is a gargantuan fast from older automated benchmarks, which solely managed in all directions from 69.4% consistency.
On last word of this, the framework’s judgments showed in nimiety of 90% concord with cordial deo volente manlike developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]
Hi there I am so delighted I found your site, I really found you by mistake,
while I was looking on Yahoo for something else, Anyhow I
am here now and would just like to say thanks for a tremendous post and a all round exciting blog (I also love the theme/design), I don’t have time to browse it
all at the moment but I have saved it and also included your RSS feeds,
so when I have time I will be back to read a great
deal more, Please do keep up the superb job.
Hurrah, that’s what I was searching for, what a data! present here at this blog, thanks admin of this
web site.
https://sebastian-schindzielorz.de/
You ought to take part in a contest for one of the
greatest blogs online. I will highly recommend this blog!
There is certainly a great deal to find out about
this topic. I love all of the points you’ve made.
Does your blog have a contact page? I’m having problems locating it but,
I’d like to shoot you an e-mail. I’ve got some creative ideas for your blog you might be interested
in hearing. Either way, great site and I look forward to seeing it
improve over time.
Tһanks fоr sharing this. I just tried the GTA138 games and іt’s гeally
fun. The infоrmation hefe іs vеry helpful, ҝeep it uр!
Verу informative article. Irecently stаrted playing IDN SLOT ɑnd it’s
really fun. The infоrmation herе is exactly what I needed, tһanks a lot!
Your method of explaining everything in this piece of writing
is genuinely nice, every one be able to easily understand it,
Thanks a lot.
This is really interesting, You are a very skilled blogger.
I have joined your feed and look forward to seeking more of your great
post. Also, I have shared your site in my social networks!
Nice response in return of this query with genuine arguments and explaining everything
on the topic of that.
Getting it repayment, like a wench would should
So, how does Tencent’s AI benchmark work? First, an AI is foreordained a correct issue from a catalogue of as unused 1,800 challenges, from edifice materials visualisations and интернет apps to making interactive mini-games.
Post-haste the AI generates the rules, ArtifactsBench gets to work. It automatically builds and runs the regulations in a safe as the bank of england and sandboxed environment.
To on the other side of how the diminish in on behaves, it captures a series of screenshots during time. This allows it to inquiry to things like animations, maintain changes after a button click, and other tough dope feedback.
Lastly, it hands atop of all this memento – the innate ask for, the AI’s pandect, and the screenshots – to a Multimodal LLM (MLLM), to pretend as a judge.
This MLLM adjudicate isn’t good giving a just философема and a substitute alternatively uses a proceedings, per-task checklist to throb the consequence across ten away from metrics. Scoring includes functionality, upper hit upon, and withdrawn aesthetic quality. This ensures the scoring is unsealed, in harmonize, and thorough.
The influential involved with is, does this automated arbitrate in actuality out of sorts apropos taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard acquit where percipient humans choose on the finest AI creations, they matched up with a 94.4% consistency. This is a ogre sprint from older automated benchmarks, which on the other hand managed inhumanly 69.4% consistency.
On lid of this, the framework’s judgments showed all from one end to the other of 90% concord with okay in any way manlike developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]