Wel.nl

Minder lezen, Meer weten.

Fietser overleden na botsing met trein in Tynaarlo

TYNAARLO (ANP) - In het Drentse Tynaarlo is een fietser overleden door een aanrijding met een trein. Het ongeluk gebeurde in de nacht van woensdag op donderdag op een beveiligde overweg aan de Zuidlaarderweg, waar volgens spoorbeheerder ProRail alle installaties naar behoren functioneerden.

Het slachtoffer is een 45-jarige man uit de gemeente Tynaarlo. De politie spreekt van een noodlottig ongeval.


Damen ontkent verlies grote Duitse opdracht voor bouw fregatten

GORINCHEM (ANP) - De Nederlandse scheepsbouwer Damen ontkent een grote opdracht voor de bouw van fregatten voor Duitsland kwijt te raken. Woensdag meldden de Duitse kranten Bild en Der Spiegel op basis van ingewijden dat de Duitse regering Damen Naval wil vervangen door de Noord-Duitse scheepsbouwer NVL voor de opdracht voor zes fregatten. Maar een woordvoerder van Damen stelt donderdag dat het "absoluut" niet klopt dat het bedrijf de opdracht kwijt is.

"Er worden samen met de Duitse regering constructieve gesprekken gevoerd over de verdere voortgang van het project", vervolgt de zegsman. Hij zegt niets te kunnen melden over de inhoud van die gesprekken, "maar zeker is dat Damen betrokken blijft bij de bouw van deze F126- fregatten".

Het Duitse ministerie van Defensie zei woensdag tegen Bild dat nog geen beslissing is genomen over de opdracht. De bouw van de fregatten heeft vertraging opgelopen, wat tot financiële problemen leidde voor Damen Naval.


Israël gaat Flotilla-activisten uitzetten

TEL AVIV (ANP) - De gearresteerde activisten van de Global Sumud Flotilla (GSF) worden naar Israël gebracht, meldt het Israëlische ministerie van Buitenlandse Zaken. Daar zullen de procedures beginnen om hen uit te zetten naar Europese landen.

De activisten willen hulpgoederen naar de Gazastrook brengen, maar Israël staat dat niet toe. Tot nu toe zijn twintig van de 44 schepen uit de vloot onderschept. Dat gebeurde in internationale wateren. Meer dan tweehonderd activisten zijn gearresteerd.

Volgens Israël zijn de activisten veilig en in goede gezondheid.


Rijksoverheid.nl - Nieuwsberichten

Nieuwsberichten op Rijksoverheid.nl

Nieuw platform helpt jonge agrariërs bij bedrijfsovername

Vandaag is het online platform Bedrijfsovernamewijzer.nl officieel gelanceerd. Voor het eerst komt er een onafhankelijk steunpunt waar jonge agrarische ondernemers, bedrijfsoverdragers en zij-instromers terechtkunnen voor advies, begeleiding en inspiratie bij bedrijfsovername. Overheid, agrarische organisaties en onderwijsinstellingen bundelen hiervoor hun krachten om de toekomst van de Nederlandse land- en tuinbouw te versterken. Bedrijfsovernamewijzer is onderdeel van het nieuwe programma ‘Voor de volgende generatie’. Dankzij een nieuwe investering van ruim 4,4 miljoen euro van het ministerie van Landbouw, Visserij, Voedselzekerheid en Natuur kan dit programma zich de komende vier jaar verder ontwikkelen voor de volgende generatie agrarische ondernemers.

Kookaburra

Right On Photography has added a photo to the pool:

Kookaburra

Saw this guy on our way to the beach. He wasn't too worried about us. I suspect he is a young one but I guess someone on Flickr will tell me.

Slashdot

News for nerds, stuff that matters

Mira Murati's Stealth AI Lab Launches Its First Product

An anonymous reader quotes a report from Wired: Thinking Machines Lab,a heavily funded startup cofounded by prominent researchers fromOpenAI, has revealed its first product -- a tool called Tinker that automates the creation of custom frontier AI models. "We believe [Tinker] will help empower researchers and developers to experiment with models and will make frontier capabilities much more accessible to all people," said Mira Murati, cofounder and CEO of Thinking Machines, in an interview with WIRED ahead of the announcement.

Big companies and academic labs already fine-tune open source AI models to create new variants that are optimized for specific tasks, like solving math problems, drafting legal agreements, or answering medical questions. Typically, this work involves acquiring and managing clusters of GPUs and using various software tools to ensure that large-scale training runs are stable and efficient. Tinker promises to allow more businesses, researchers, and even hobbyists to fine-tune their own AI models by automating much of this work.

Essentially, the team is betting that helping people fine-tune frontier models will be the next big thing in AI. And there's reason to believe they might be right. Thinking Machines Lab is helmed by researchers who played a core role in the creation of ChatGPT. And, compared to similar tools on the market, Tinker is more powerful and user friendly, according to beta testers I spoke with. Murati says that Thinking Machines Lab hopes to demystify the work involved in tuning the world's most powerful AI models and make it possible for more people to explore the outer limits of AI. "We're making what is otherwise a frontier capability accessible to all, and that is completely game-changing," she says. "There are a ton of smart people out there, and we need as many smart people as possible to do frontier AI research." "There's a bunch of secret magic, but we give people full control over the training loop," OpenAI veteran John Schulman says. "We abstract away the distributed training details, but we still give people full control over the data and the algorithms."

Read more of this story at Slashdot.

The Daily WTF

Curious Perversions in Information Technology

Tales from the Interview: Tic Tac Whoa

Usually, when we have a "Tales from the Interview" we're focused on bad interviewing practices. Today, we're mixing up a "Tales" with a CodeSOD.

Today's Anonymous submitter does tech screens at their company. Like most companies do, they give the candidate a simple toy problem, and ask them to solve it. The goal here is not to get the greatest code, but as our submitter puts it, "weed out the jokers".

Now our submitter didn't tell us what the problem was, but I don't have to know what the problem was to understand that this is wrong:

    int temp1=i, temp2=j;
    while(temp1<n&&temp2<n&&board[temp1][temp2]==board[i][j]){
         if(temp1+1>=n||temp1+2>=n)
            break;
         if(board[temp1][temp2]==board[temp1][temp2+1]==board[temp1][temp2+2])
           points++;
         ele
           break; 
         temp2++;
      }

As what is, in essence, a whiteboard coding exercise, I'm not going to mark off for the typo on ele (instead of else). But there's still plenty "what were you thinking" here.

From what I can get just from reading the code, I think they're trying to play tic-tac-toe. I'm guessing, but that they check three values in a column makes me think it's tic-tac-toe. Maybe some abstracted version, where the board is larger than 3x3 but you can score based on any run of length 3?

So we start by setting temp1 and temp2 equal to i and j. Then our while loop checks: are temp1 and temp2 still on the board, and does the square pointed at by them equal the square pointed at by i and j.

At the start of our loop, we have a second check, which is testing for a read-ahead; ensuring that our next check doesn't fall off the boundaries of the array. Notably, the temp1 part of the check isn't really used- they never finished handling the diagonals, and instead are only checking the vertical column on the next. Similarly, temp2 is the only thing incremented in the loop, never temp1.

All in all, it's a mess, and no, the candidate did not receive an offer. What we're left with is some perplexing and odd code.

I know this is verging into soapbox territory, but I want to have a talk about how to make tech screens better for everyone. These are things to keep in mind if you are administering one, or suffering through one.

The purpose of a tech screen is to inspire conversation. As a candidate, you need to talk through your thought process. Yes, this is a difficult skill that isn't directly related to your day-to-day work, but it's still a useful skill to have. For the screener, get them talking. Ask questions, pause them, try and take their temperature. You're in this together, talk about it.

The screen should also be an opportunity to make mistakes and go down the wrong path. As the candidate's understanding of the problem develops, they'll likely need to go backwards and retrace some steps. That's good! As a candidate, you want to do that. Be gracious and comfortable with your mistakes, and write code that's easy to fix because you'll need to. As a screener, you should similarly be gracious about their mistakes. This is not a place for gotchas or traps.

Finally, don't treat the screen as an "opportunity to weed out jokers". It's so tempting, and yes, we've all had screens with obviously unqualified candidates. It sucks for everybody. But if you're in the position to do a screen, I want to tell you one mindset hack that will make you a better interviewer: you are not trying to filter out candidates, you are gathering evidence to make the best case for this candidate.

Your goal, in administering a technical screen, is to gather enough evidence that you can advocate for this candidate. Your company clearly needs the staffing, and they've gotten this far in the interview process, so let's assume it's not a waste of everyone's time.

Many candidates will not be able to provide that evidence. I'm not suggesting you override your judgment and try and say "this (obviously terrible) candidate is great, because (reasons I stretch to make up)." But you want to give them every opportunity to convince you they're a good fit for the position, you want to dig for evidence that they'll work out. Target your questions towards that, target your screening exercises towards that.

Try your best to walk out of the screen with the ability to say, "They're a good fit because…" And if you fail to walk out with that, well- it's not really a statement about the candidate. It just doesn't work out. Nothing personal.

But if the code they do write during the screen is uniquely terrible, feel free to send it to us anyway. We love bad code.

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Werk

Fabio Bruna posted a photo:

Werk

Publieke werken in de droge rivier Celina. Friuli, Italië.

Celina

Fabio Bruna posted a photo:

Celina

Objet trouvé in de droge rivier Celina. Friuli, Italië.

Sfioratore

Fabio Bruna posted a photo:

Sfioratore

Of de overloopgoot. In het Lago di Barcis. Met de Diga (dam) di Barcis.