illwrks

My guess is that it’s on the software side partnered with the app.

A few years ago I was reading a recruitment report and was surprised to learn that Ireland is a large source of data scientists, so it’s no surprise really

Make sure to report back and let us know how you get on.

Thanks for the recommendation, I'll pop by one over the coming weeks.

I never knew that! I'll try one out next time I'm passing.

Was Morrisons ever any good?

As Nike might say… Just do it.

This is great, I’m working on something that takes advantage of SVG also. Different use case but I do think there’s a lot unexplored value in SVG files.

Years and year ago, I worked in a sign makers and helped out with screen printing on occasion. Screens can last a very long time provided they are created corrected. From memory there were at least 200+ prints from a single screen - I think they may have been t-shirts or tote bags.

Looks like it has been posted already:

https://news.ycombinator.com/item?id=48499692

You need designers that have worked closely with engineers and have their head screwed on.

Modern Tupperware party. 100% agree! That’s the best framing I’ve heard in a long time!

It was a code editor that had Gemini integrated into it. I’ve been playing around with the new version, it can still do what I was using it for, but it does make me wonder if it will become a OpenClaw like tool.

I have to wonder if helpful ads most likely refers to the type of add for the exact search result… So, for example if you search for Coca-Cola the first ad will be something Coke has paid Google for. That helps Google earn $ and helps Coke not loose to a site with better SEO and confusion. Does it help you… maybe.

100%, have to use it for work though!

I’ve been building a small ‘agent’ using copilot at work, partly a learning exercise as well as testing it in a small use case.

My personal opinion is that AI and agents are being misrepresented… The amount of setup, guidance and testing that’s required to create smarter version of a form is insane.

At the moment my small test is: Compressed instructions (to fit within the 8k limit) 9 different types of policies to guide the agent (json) 3 actual documents outlining domain knowledge (json) 8 Topics (hint harvesting, guide rails, and the pieces of information prepared as adaptive cards for the user) 3 Tools (to allow for connectors)

The whole thing is as robust as I can make it but it still feels like a house of cards and I expect some random hiccup will cause a failure.

I wonder if that's why she had caught it so easily, not many people are visiting the UK for it's sunny climate.

With a web based project, you'll need to know how to setup a server and all of that jazz too, I don't know if an agent can help you with this.

I've been tinkering with some models and I'm currently progressing through a few personal projects with Gemma in Antigravity. I'm not an engineer, but I have a very good technical understanding, I'm competent enough to build something by myself.

I've been going though my personal projects feature by feature. So far I've had good success, and as I'm doing it step by step I'm checking what's being created. 90% of the time it's correct and when bugs occur I can work through them and identify the issue, and then explain it to the agent to fix.

I don't think you could ever just set an agent off to create something by itself, unless you have a very detailed comprehensive technical document for it to follow along outlining the big picture and all details within - even then I think the context window wouldn't be enough and it may start tripping up.

The projects I've tried to date: - A love2D game (success) - Buildroot linux for an SBC with above game embedded (success, but with several issues related to the framebuffer, other drivers etc. Fixing this took about an hour of my time and burnt through all of the available thinking model tokens in two sessions. - A few offline web projects (ongoing, success when going feature by feature) - A micro controller project (ongoing)

Very nice. I had a quick look at the data source and I wonder if the more recent data is more sensitive/better quality since 2020? There's a clear trend of the oceans getting warmer but recently it seems like there's more and more heat retained.

"CRW's first-generation global monitoring products were operational at NOAA until April 30, 2020, when they were officially retired, and succeeded by CRW's next-generation operational daily monitoring products."

It does. I've been tinkering with Copilot Studio Agents and you can hit a 8k character limit quickly. By taking your instructions and asking Copilot to compress the information down, while ensuring they are still human readable, you can cut it back to about 5k characters. The information is more dense and functionally the same and the agent is just as consistent as before.

LinkedIn is in a different category than your standard website or social site due to the amount of PII. I'm not saying it's right to scan your environment, but as someone with a LinkedIn account I would prefer they tried to protect my data than be lazy about it. You have more to worry about from Adobe's online tracking than LinkedIn checking your installed extension for scrapers.

You can guaranteed that this is a data protection and anti-scraping measure. I used to work with some recruiters and there are several third party recruiter tools that scrape linked in data to the third party sites database under the guise of supporting recruiters. I would rather this than having my LinkedIn data siphoned off other parts of the internet for god know what purpose.

Anthropic launched in the UK recently (Feb I think) so I expect it’s as a consequence of that.

This has to be a joke. April fool

I’ve been saying the same thing to people I work with for the past few months. When everything is labelled as copilot it creates such confused ideas when someone says they have created something with copilot… or created a copilot agent. It always invoked 20 questions to interrogate what actually was created, and with what ‘version’ of copilot.

MS really needs to distinguish between them all.

Yes. Most people have close to zero understanding of tech, and are instead very heavily influenced by what they hear and see online, on social etc. They won’t think too deeply about the detail and therefore will make false assumptions.

Air model - ditsy and air headed, prone to exaggerate. Standard model - does enough of what you need, no bells and whistles, less of an airhead. Pro model - for professionals, serious and trustworthy

Looks like the same article: https://www.reuters.com/technology/microsoft-weighs-legal-ac...

Yes, computer in your pocket indeed! I think the Apple Neo shows just how powerful/capable the mobile chips are getting for computer use.