The other day we shared a thread on the 5 types of work a Hotspot can perform to mine $HNT. Today we take a look at the work of a Challenger in Proof-of-Coverage (PoC).

Hey, who wants to read a story about @Upwork fucking over freelancers in order to upsell their clients on unnecessary services the clients don't want and can't afford? Strap in!

So after my marketing agency closed I started freelancing again. A marketing company that wanted to work with me only hires freelance writers through @Upwork. So I signed up. I wasn't thrilled about it, but that's who they contract with and it's their marketing company.

I've been receiving regular assignments from this company, thru @Upwork, for over a month now. I've written dozens of articles for them. My work has been exemplary. I've been handling repeated rush jobs and delivering. The client was and is very happy. That's coming from them.

While I was wrapping up several assignments this week I was contacted by the marketing company. They asked if I had taken a new full-time job and wasn't available anymore. It seems @Upwork's talent group told them I was no longer available to take assignments.

I was very surprised. Nothing had changed on my end. I still needed the freelance work very much. I told them so. So the marketing company pressed @Upwork and were told there were "compliance" issues that were preventing the marketing company from giving me any more work.

~8yrs ago (Dec’12) I got a job @Google. Those were still early days of cloud. I joined GCP @<150M ARR & left @~4B (excld GSuite). Learned from some of the smartest ppl in tech. But we also got a LOT wrong that took yrs to fix. Much of it now public, but here’s my ring-side view👇

By 2008, Google had everything going for it w.r.t. Cloud and we should’ve been the market leaders, but we were either too early to market or too late. What did we do wrong? (1) bad timing (2) worse productization & (3) worst GTM.

We were 1st to “containers” (lxc) & container management (Borg) - since '03/04. But Docker took LXC, added cluster management, & launched 1st. Mesosphere launched DCOS. A lot of chairs were thrown around re: google losing this early battle, though K8 won the war, eventually 👏

We were 1st to “serverless” (AppEngine). GAE was our beachhead -- it was the biggest revenue source early on but the world wasn’t ready for serverless primitives. We also didn’t build auxiliary products fast enough. Clients that outgrew GAE wanted “building block” IaaS offerings.

1st to hadoop (map-reduce ‘04) but our hosted Hadoop launched in ‘15. AWS EMR was ~200M ARR by then. 1st to cloud storage (GFS ’03), but didn’t offer a filestore till ‘18! Customers were asking for it since 2014. Didn’t launch archival storage or direct interconnect till v. late.

Facebook lost another 1 million daily users in Europe and stayed flat in North America as scandals and low engagement with teens come back to bite its business https://t.co/O7tfyIw7Fd tip @Techmeme

Facebook still added 37M monthly & 24M daily users thanks to big gains in the Asia-Pacific region, but those users earn it 1/10th as much as US/Can users

The real story dragging on Facebook's share price is that yearly revenue growth has fallen from 59% 2 years ago to 33% today. It's run out of lucrative Western users and News Feed ad space.

Let's remember that Facebook doubled its security staff & cut back on viral videos/clickbait. That drags on its profits & revenue, but are crucial to society. And while Twitter shares soar, it has made no such commitments to fighting harassment & misinfo.

How do you optimise your slides, audio or video when delivering online teaching?

There are many learning theories out there, but Mayer’s Multimedia Learning Theory is epic.

Read this thread + use his theories to improve learning transfer

Non-ideal slide to get started👇

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A quick thread on intelligence analysis in the context of cyber threat intelligence. I see a number of CTI analysts get into near analysis paralysis phases for over thinking their assessments or over obsessing about if they might be wrong. (1/x)

Consider this scenario. A CTI analyst identifies new intrusions and based on the collection available and their expertise note that the victims are all banks. Their consumer wants to know when threats specifically target banks (not just that banks are victims).

The CTI analyst has, from their collection, at this time, and based on their expertise enough to make an activity group (leveraging the Diamond Model in this example) that meet's the requirement of their consumer. So what's the problem?

The CTI analyst begins to over think it. "What if I had more collection? Would my analysis change? I really don't *know* they aren't also targeting mining companies in Australia as I don't have collection there."

The analyst knows their analysis is going to be shared. Maybe even public. "What if another team or professional intelligence firm has more collection and ends up noting that it isn't banking specific at all. Banks are victims, not targets. Will my consumer distrust me later?"