For my company, being able to view the user journey throughout the site in the analytics is pretty valuable.
We don't care who the specific users are - but the tracking gives us an idea of how many people use the site? do they have a good experience? are they giving us money? do we have a bug somewhere we're missing? etc.
Back in the day we used to track user activity via a "hit id" (basically a random string) that was generated on the backend that added a "post" request to every page.
So we need the entire world's available money, capital, energy and earth's entire resources in order to improve LLMs so that my daughter's cousin can keep talking to their imaginary 'friend'.
I can't wait until AI startups need to raise $100TN dollars for this important mission.
To be fair, insider trading for a prediction market doesn’t really seem like a bad thing. It’s arguably the entire point (to incentivize the aggregation of all relevant information on the topic) and, unlike securities markets, there’s no equivalent of “but it’s unfair to normal traders using the markets as investments.”
The problem with prediction markets is not purely insiders but that they interface with the real world, so they encourage bettors not just to predict an outcome but to bring it into being.
You are a poorly paid Russian commander. You open an account on polymarket or Kalshi and place a bet about specific Russian troop movements, perhaps ones that would be disastrous to your war effort even, to up the leverage. When you’ve accumulated a sufficient position, you order the troops to be moved, perhaps even out of accord with orders from above. Your front collapses, your soldiers are routed, and you get rich.
These markets are dangerous. We will learn this lesson eventually.
Your example assumes there would be sufficient liquidity on that bet. The existing platforms aren’t houses or market makers that just provide functionally infinite liquidity on any bets. The “win” criteria on this example is so specific that verification becomes its own problem.
In theory a fun example, but practically it doesn’t play out the way you’re describing.
I'm aware of the assassination market concept, but there's nothing particularly unique about prediction markets. Nearly any conceivable market can be influenced by someone willing to commit violent crime. That obviously includes many normal securities markets.
Legal systems certainly should restrict markets where the incentivize is sufficiently direct (e.g. actual date of death prediction markets). There's a blurry line between what constitutes a sufficiently direct incentive, sure, but there are lots of blurry lines when it comes to legal systems.
Does happen any other aggregation than taking the average though? The whole point of this is that the average believe is not an accurate representation of reality.
Only certain limited forms of insider trading are federal crimes. The insider trading laws don't really cover this type of prediction market. But depending on the facts of the case it's possible that the trader or related parties committed some other crime such as wire fraud or improper release of classified information.
Linuxbrew is absolutely fantastic. No need to mess with apt repositories and can keep custom binaries separate from the os.
Almost everything is there, and it just works.
>the best way to install these tools is to build it yourself, i.e. make install, etc.
And you're fully auditing the source code before you run make, right? I don't know anyone who does, but you're handing over just as much control as with curl|bash from the developer's site, or brew install, you're just adding more steps...
> And you're fully auditing the source code before you run make.
I mean you can?
But that is the whole point when the source is available, it is easier to audit, rather than binaries.
Even with brew, the brew maintainers have already audited the code, and it the source to install and even install using --HEAD is hosted on brew's CDN.
>Even with brew, the brew maintainers have already audited the code
Realistically, how much are they auditing? I absolutely agree with your sentiment that it's better than a binary, but I think the whole security model we have is far too trusting because of the historically overwhelming number of good-faith actors in our area both in industry and hobbyists
> By using this service, you acknowledge that terminal sessions may be logged for educational and debugging purposes. No personal data is collected beyond your IP address.
Is this all open source and is the code available? So that we know where the data is truly going?
And even more to the point: this is a website. What is he afraid of this website doing that all the other websites don't already do? Why single this one out?
It would be an excellent phishing attack if your target is senior IT. You filter out every non-geek, of course, and certainly your responses would lean heavily toward an older crowd. They's all see 'Unix v4', be too excited to consider the risks, and being a 1973 OS assume it is innocent and safe (not thinking about the platform delivering it).
Yeah it’s unlikely that this site will collect any meaningful data and it’s unlikely that you lose any meaningful data by playing with a virtual unix from the 70ies.
> Unless the company is a FAANG company or hedge fund, the UK tech scene is dead.
Try to look beyond startups and pure software companies. There are many businesses in eg manufacturing or in less fashionable locations that struggle to hire decent devs and will often pay pretty good† money.
I can, I have an EU nationality so working for an EU client is seamless to me.
> Unless the company is a FAANG company or hedge fund, the UK tech scene is dead.
That is VERY, VERY true
> I don’t see any good UK startups worth joining in the UK. All the good ones are in SF / NY, etc.
There's a few popping up all over the EU too but from my search a single hub in the US(Say Austin, TX) has a bigger and better ecosystem than the entirety of UK+EU.
Mario Can you please expand on the comment that you agree with, "the UK Tech scene is dead".
What's actually going on within the UK tech jobs landscape? What about certain sectors like fintech? What about all the recent AI startups hiring? What are your on-ground observations?
Within my LinkedIn feed bubble, things are not that bad in the UK, but what is actually happening?
That seems pretty overzealous, companies like SAP or Heinlein are doing well-ish and the recent push for digital sovereignty has induced some money. There also is a bunch of mixed shops (doing he and software or integration work).
The primary difference is that many expect on-site and they pay is generally not US-startup scale.
Many companies also expect you to at least have some knowledge of their local language (e. G., German, Spanish or Polnish) and not just English. One has to adapt to be competitive here.
Hopefully a bit more diplomatically than that, though.
But, I agree. Encourage him to go over all of his work once or twice more, and use spellchecking tools, before committing or sending out email/slack/whatever.
If he's truly dyslexic, it won't necessarily help all that much, but if he's just really sloppy it most definitely will.
IEEE may do it, as it's a professional organization. That is, they're a non-profit dedicated to the furtherance of the field. Being open access fits their mission, and the costs can be handled by dues and fees. Springer and Elsevier are for-profit publishers. I don't know how if they can have an open-access business model.
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