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avnfish

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I’m very bearish on Accenture for the following reason: the business model is a levered flywheel (high-paid salespeople and aggressive M&A buyouts powered by share price appreciation and low wage outsourcing). This is kicking into reverse due to revenue growth deceleration

Unlike a partnerships model, Accenture taps the public markets for financing to do M&A and pays its star salespeople with stock. Declining revenue growth rerates the stock price lower, which then makes the market more competitive (can’t buyout others) and acts as a disincentive to the salespeople, which then lowers the stock price further. This alone may be survivable, but at the same time, the company has more than half a million staff (!) employed in India/Philippines/etc at exactly the time when the market wants SOTA-level AI work instead of legacy ‘managed services’, and the federal government is cutting many $B of ACN contracts

Tl;dr: these guys aren’t getting IBM’d, they’re getting Xerox’d

Here is my attempt: blockchain is a 'good enough' way to bootload a platform for making permissionless dollar-denominated payments. You could technically achieve the same functionality, with better performance, off an interoperable open standards database and communication protocol. But everyone from global south governments, to the CFTC/SEC, to Mastercard would be after you before liability could be effectively distributed. With the design they're going for, you can vaguely gesture to the stablecoin issuers, node operators and on/off ramp operators that will be there on day 1 as legally separate parties each carrying part of the liability.

I will end with this thought: If we can get to a new local equilibrium where global transaction costs are 10x lower and >30% of global GDP can get paid faster / with better price signals / etc., shouldn't we try even if the tech is non-optimal?

Wow—this being an AI generated comment is certainly a possibility. The proliferation of LLMs in online discussion spaces is accelerating and radically reshaping the modern web.

Identifying AI-generated comments often involves spotting patterns in tone, structure, and content. Here are the most common indicators: [1] Overly polished or formulaic structure, [2] Repetition or redundancy, [3] Unnatural verbosity or vagueness, [4] Subtle logical gaps (e.g., "LLMs are radically reshaping the modern web")

Wow, they did a licensing deal with a legitimate manufacturer in Taiwan to get the battery listed on official websites? This runs so much deeper than I expected.

Supply chains are one heck of an attack surface...

Did McKinsey write this?

Quantum computing is poised to be the next major innovation, but five of the top ten tech companies globally in terms of quantum investment are based in the US and four in China. None are based in the EU.

Veo 2 years ago

It's introduced early on (and not what the book is really about): distribution of a video that is so entertaining that any viewer is compelled to watch it until they die

Megacorps can be made to work for you (albeit with a certain set of tradeoffs):

* milk the wellness benefits as much as possible - including any therapy cover

* look at leave of absence / sick leave (larger corps are better able to accommodate)

* transfer to a better team

* adjust your hours downwards either explicitly or tacitly

Megacorps aren't great at the whole empowerment and outcome control thing, but you can at least use the benefits to recover and then maybe move to something more meaningful

My timelines are basically the same as yours, which is reassuring because often articles talk about timelines that are measured in months rather than years

I suspect this article is intentionaly inflammatory. Opening sentence mocking someone's physical appearance. Outlandish salary / other attribute expectations. At the same time: admission of being a single parent freelance journalist and complaining about the perceived lack of eligible options. I'm glad it all worked out well for the author but what exactly is the point of this article other than to provoke?

Can someone with more networking expertise than me explain whether this sort of risk applies only to rented DC servers? Or is it an ISP risk that can also impact Mullvad's owned servers[1]?

[1] Mullvad owns 159 servers in 9 countries (https://mullvad.net/en/servers/), so not quite sure why you wouldn't just choose to use one of those instead if concerned about this