The absolute best 15 scanners which experts are using.

Got these scanners from the following accounts:

1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX

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Listing all scanners from @Pathik_Trader Sir first.

1. Open

2. 80-20 Reversal Setup


3. Fake

4. Trapping Inside Bar (Positional Setup)

Because microtest TDD is more a "way of geeking" than a technique or a received body of knowledge, building one's faculties is a long and sometimes perilous effort. Let's talk about learning.

(I, too, feel a little relief just now, tho not as much as some, because recent events aren't an ending, they're the beginning of a lot of work.

Black Lives Matter.

Stay safe, stay strong, stay angry, stay kind.

Let's keep changing this.)

I want to approach the question(s) of learning TDD in some ways that are a little different from others I've seen. I've written two TDD curricula myself, and am involved currently in helping with two more. I see all of them, including the current ones, as "interesting failures".

At first, learning/teaching TDD seems like a road, then over time it seems to become a tree, and ultimately it feels much more like a spreading activation network, including lots of external triggers, plateau periods, and transformative experiences.

(I'm open to the possibility that this is what *any* judgment-centric skill looks like, but for now I just want to talk about TDD.)

#RaspberryPiPico silicon teardown time!

Board as received optical + x-ray images

Inspecting package. X-ray shows bond wires easier after removing thermal slug

Thermal slug removed w/ HCl + H2O2

Decapped to show copper bond wires connecting die to package pins. Initially used only nitric acid which destroyed copper bond wires (last image). Fixed by switching to mixed nitric + sulfuric acid

I am grateful to @slatestarcodex for taking the time to respond to my critique of technocracy. There is a lot there to respond to and in general I think the exchange speaks for itself. However, I think there are few points where clarification is important for the exchange to be

productive, which I'll briefly address here. I suspect many fellow travelers (e.g. @audreyt @dsallentess @JohnnieM @MichelleRempel @VitalikButerin @mds49) will find the exchange fairly ironic/revealing. I'll post this as a response on this blog as well.

1. Let me start with concessions. There are many points where @slatestarcodex correctly highlights various areas where my grasp of beliefs and facts are limited or wrong, especially in the depth of my grasp of the views of the rationalist community.

I freely admit that there are serious limits to how much I've been able to research the views of people in this community and I certainly hope they are not as I characterized them, though as I will point out below many elements of @slatestarcodex's response confirm my concerns.

2. Given the last point, I fully acknowledge the danger of throwing stones lest I shatter my own glass house. However, leaving aside any blame, I think to make sense of my piece and @slatestarcodex's response requires a bit of context that clearly he lacked. First, outside

So Sony has this format called Optical Disc Archive, right? It's a high-density storage cartridge, but it turns out it works by cheating.

because if you open it up (which you should never do. trust me on this one)
it turns out... it's blu-ray.

it's a big STACK of blu-ray

And the idea is that Sony built some very complicated drive which you can slot this cartridge into, and it'll open it up and grab out the right disc and just read/write that one

then when you hit the eject button, it shoves the discs back in and closes up the case, and hands you the cartridge.

why are chips often so expensive? how do chip companies determine the prices of their chips? a thread... 🧵

first thing chip companies do is to figure out the COGS - cost of goods sold. this is how much it costs them to produce a chip--not counting profit or anything else.

but before we can calculate that, we need to know The Life of a Chip, start to finish!

it starts as a raw slice of silicon, something like this. (0th step is a raw boule or silicon ingot, grown as a single crystal, that is sawn up like this)

then it gets run through a variety of processing steps. etching, diffusion, implantation, deposition, and others.

The Phantom of Heilbronn (or how for 16 years the German police hunted a serial killer who didn't exist)

(Thread, non sweary version here: https://t.co/iDOIhaFgIT)

Between the years of 1993 and 2009, police in Heilbronn, Germany were tracking just about the most elusive serial killer since Ted Cruz.

Known as the Phantom of Heilbronn, or occasionally The Woman Without A Face, she was implicated in so many crimes that the police eventually put out a reward of €300,000 for any information leading to her arrest.

The case that brought her to the media's attention and earned her two ridiculously badass nicknames

(honestly, if you don't want people to do murders you're going to have to come up with less glamorous nicknames - what's wrong with Jack Shitshispants or the Zodiac Cuck)

(1) Since some people laugh at Cardano project and it's peer review aspect, let me share a story from work for all of you
(2) There is company called Databricks and they open sourced recently a technology called: https://t.co/gpZyKKiMVD . This technology is super important

(3) In BigData delta allows one to perform DELETE and MERGE operations contrary to Hadoop + Hive where this is not possible, seeking through many partitions finding customer data to remove and then rewriting it is not only expensive as an operation but also very dangerous

(4) This promising technology is something that many companies, which have big data turn into as they need to be GDPR compliant.
(5) I was always reading and accepting all details from their website as given and the "truth"

(6) There is however an amazing Principal Developer at our company that found some of the claims from their website as dubious, e.g. ACID claims on such a distributed file system
(7) It turns out this is not the first time this company advertises something that is simply not true

(8) on another occasion this company made untrue claims about Cassandra database and this then became source of disputes e.g by dr. @martinkl - my fave expert in distributed systems
(9) All professional developers also know of course famous Jepsen tests ->

maybe it's just leftover urges from being a toddler putting round pegs in square holes but every time I see a video card like this on ebay I want to buy it and also some RAM chips to fill it with

when I win the lottery I'm gonna buy all of these and a bunch of RAM chips, put them together, and then relist them right back onto ebay

I have a dream that one day all the super VGA cards on ebay will have full ram expansion sockets

that's a nice VLB video card you have there
be a real shame if someone were to UPGRADE ITS RAM

huh, I don't think I've ever seen RAM in that package
QFP DRAMs?

People sometimes ask me what my vision of DeFi is. This is a very tough question. DeFi is very messy with thousands of experiments happening. But high level, I think DeFi will go through 2 phases:

During the 1st phase (next 2-5 years), we'll continue to build games, casinos, and speculative products.

This sounds uninspiring. But it has two main important consequences.

1) This will ultimately lead to hundreds of millions of users to install wallets and get uncomfortable with the UX.

2) This will force the tech (especially scaling) to mature.

Once we've achieved these two goals, phase 2 begins. In phase 2, products that serve real economic activities / integrated with the real economy will be built and flourish.

Right now, such products barely exist. @terra_money comes to mind. But this is the kind of products that I really look forward to. They are more economically sustainable, and create more value.

Elastic didn't really relicense ElasticSearch. It forked it.

🧵 A thread.

1/18

There's a lot of talk in the open source community about the cost of forking.

2/18

- "Forking is best avoided."

- "Forking is a last resort option."

- "Forking is like a nuclear weapons. It's a defensive threat."

3/18

Forking is seen as impractical and extremely expensive.

And that's a Really Good Thing(tm).

It's a forcing function for figuring out solutions that are broadly acceptable across the community.

4/18

The thing is, the cost of forking is mostly a function of three things:

1⃣ the size of the community that you can bring along with you,
2⃣ whether you need to rename your fork (who owns the trademark), and
3⃣ how much infrastructure you need to rebuild.

5/18

X : Are you interested in container technology?
Me : No. I'm interested in the practices that emerge from industrialiation of technology. It's the practice that actually define the future, not the technology.
X : So, what are you interesting in?
Me : ... long list ...

1. SWARMING (of people and machines)

2. DISTRIBUTED AND INDIRECT LEARNING

3. DISTRIBUTION OF PROVISION (not power but provision)

4. ACCEPTANCE OF STANDARDS (identification and adoption of)

5. INCENTIVES & FUNDING MODELS (worth based / outcome based models)

6. FOCUS ON INTENT (long term goals)

7. MANAGEMENT OF CONSTRAINTS (including enabling constraints)

8. FOCUS ON PRINCIPLES (over beliefs)

9. SUPPLY CHAIN MANAGEMENT

10. IMMERSION

11. RESOURCE MANAGEMENT

12. SUSTAINABILITY (not just tickboxes in a CSR)

13. REUSABILITY (of components including exaptation)

14. MANAGING INERTIA (models for identifying and managing)

15. RESILIENCE (both engineering and ecological)

16. MOBILISATION (of people and resources)

17. MANIPULATION (of perceptions and defense against)

18. SITUATIONAL AWARENESS

19. AUGMENTED INTELLIGENCE (not replacement of human capital but addition to)

20. REDUCTION OF WASTE

The ancient struggle was not having enough.

The modern struggle is having too much.

Too much news, too much sugar, too much of everything at your fingertips..There's only 1 way out.

Let's lay it out:

On one side, you have "Team Dopamine":
* 24/7 news cycle, full of clickbait headlines
* Social Media, friend's pics that disappear in 24 hours
* Endless varieties of sugar & porn

going up against your tiny, 3 pound brain running 20,000 yr old software

Even if you are a smart person who tries their best to stay healthy & happy... you are going up against Fox News, TikTok, PornHub, Robinhood, Instagram

These are weapons of mental destruction.

Thousands of our smartest engineers & data scientists work at these companies.

They run constant experiments. Fighting against each other for every moment of your attention. So you open THEIR app.

It's skinner's box, rats pushing buttons for rewards. But you're the lab rat.

So what do we do?

We have everything. More than any species, at any time period in history. It's wonderful...but also deadly.

Food injected with syrup sugar
Painkillers you can't live without
Video games where you can fly and kill
Porn better than any date you'll ever have

1) Let's talk about the question of 'how should we think about Chinese tech'

What do we talk about when we talk about Chinese tech? Who is 'we' here? How do you pronounce Elema?

I've hit 10k in followers and it's time to earn my stripes as a thinkboi.

2) Chinese tech is a loaded term. The very fact that we have to say 'Chinese' tech rather than tech demotes its otherness.

So what does a place of origin signify? The different market conditions, political context and imo most importantly, the development stage of the country.

3) I think @benedictevans and @ToniCowanBrown's podcast on 'How to think about Chinese tech when you know fa about China' (my title, not theirs), lays some of the groundwork here.

China's different market conditions and political context often means a parallel tech world

4) This means a fundamental rethinking of first principals that's hard to stomach for most Western tech folks
- Copy is not wrong, in fact, it shows you've picked a de-risked business model
- There are no unscalable resources, esp when labour is

5) But I think the most important factor that gets overlooked is that China tech demotes something very particular. It is coming from a developing country. The life stage of a country is different from its cultural context.

What happens when a developing country is innovating?

🔥 It's probably common knowledge that Netlify makes deployment incredibly simple- you can connect a repo, pick a build command and 🚀

or just drop a folder in and you're done!

...but here are some other things you might not know about our deploys that are very special 🧵

Netlify has a concept of "atomic" deploys- which means a few things:

- You can preview a deploy when you've or someone else has just put in a PR

- You can roll back to ANY previous state, with one click, in milliseconds

- You always know what state your cache is in!

Netlify allows you to cancel a deploy- did you just put in a change, merge it and then realize you've made a terrible mistake? I've never done that. 😬 er...

No worries. You can cancel that deploy with the click of a button.

You can lock a deploy. Let's say you get everything ready for a big release, code review and tests are complete, it's all ready.

You can lock a deploy in a state to get ready for a major release, so that you know exactly what you're releasing and sleep well the night before. 😴

You can even get notifications about locked deploys via email, outgoing webhook, or Slack. Netlify can notify you when a deploy is either locked or unlocked.

Are you a Senior Developer & struggling to switch your job?

Here's a thread on how you should prepare before sending out job applications:

🧵👇🏻

First of all know that there's a lot of demand for good software developers.

It's hard for companies to hire good mid level developers. Some of the interviewers I've talked to recently have mentioned this!

So, if you're good, you can always get into a high paying job.

I have 6.5 years of experience mainly as a Backend Developer. Although I do work a bit of front-end tasks as well as part of my current job.

In this thread I'm going to talk about how I would prepare if I was going to apply for a job interview.

As a mid level developer having 4 - 8 years of experience, you will be expected to have certain skills to be hired by companies. Skills like:

- Problem Solving
- HLD
- LLD
- Mentoring / Code reviews
- Taking responsibility
- Leading end-end development & release of projects etc

Problem Solving:

Even though we mostly never write a lot of game changing Algorithms and use data structures, you're still expected to know the most common ones and how to use them to solve problems:

- Tree
- Linked List
- Heap
- Hash Map
- Array etc

Hmm... something interesting I learned from my buddy @RomeenSheth about McKinsey.

I thought they are just a stale boring consulting co

But he told me they've acquired a ton of software co's & now have a $100M ARR tech portfolio now (!)

I'll let him explain - guest thread!

If you don’t know, McKinsey is a gigantic consulting company:

- $10B+ in revenue
- 80%+ of the F500 as clients
- Hard to get a job there. (<1% of applicants get hired)

Their bread and butter (70% of revenue) used to be “pure strategy” work. That’s now down to just 10% - why?

Clients are demanding “value based” billing. Meaning less "guys in suits talking" and more "show me something tangible"

For example -lets say a client hires McKinsey because they think they are spending too much money on procurement.

So McKinsey acquired Orpheus - a software co that does analytics for procurement.

Instead of advice, they give them a tool (a real solution)

Now Orpheus has been around for 15 years. McKinsey can buy it at a fair price, knowing that it can inject steroids into the business.

Why?

0/ I’m tired of hearing about observability replacing monitoring. It’s not going to, and that’s because it shouldn’t.

Observability will not _replace_ monitoring, it will _augment_ monitoring.

Here’s a thread about observability, and how monitoring can evolve to fit in: 👇

1/ Let’s start with the diagram (above) illustrating the anatomy of observability. There are three layers:

I. (Open)Telemetry: acquire high-quality data with minimal effort
II. Storage: “Stats over time” and “Transactions over time”
III. Benefits: *solve actual problems*

2/ The direction for “Telemetry” is simple: @opentelemetry.

(This is the (only) place where the so-called "three pillars” come in, by the way. If you think you’ve solved the observability problem by collecting traces, metrics, and logs, you’re about to be disappointed. :-/ )

3/ The answer for “Storage” depends on your workload, but we’ve learned that it’s glib to expect a data platform to support observability with *just* a TSDB or *just* a transaction/trace/logging DB. And also that “cost profiling and control” is a core platform feature.

4/ But what about “Benefits”? There’s all of that business about Control Theory (too academic) and “unknown unknowns” (too abstract). And “three pillars” which is complete BS, per the above (it’s just “the three pillars of telemetry,” at best).