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Saved by @Alex1Powell

~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.
Common thread: engineering hubris. We had the best tech, but had poor documentation + no "solutions” mindset. A CxO at a large telco once told me “you folks just throw code over the fence”. Cloud was seen as the commercial arm of the most powerful team @ Google: TI (tech infra).
TI “built” stuff == good; Cloud “sold” stuff == bad. This unspoken hierarchy led to GTM decisions that cemented our #3 position in a market where we had far superior tech. Another reminder that BETTER TECH RARELY WINS AGAINST BETTER GTM: https://t.co/jpVV5CWl44
As a result of this engg::product::sales tussle, we 2nd guessed if we were (1) platform or product (2) for developers or enterprises, serving (3) new age cloud-native cos or everyone. Steve Yegge has a legendary rant on #1: https://t.co/hf3rtIJgUb. KNOW WHO YOUR CUSTOMERS ARE!
A lot of early mistakes were made w/ #2-3: AWS was going to the customers and rolling cloud-compatible on-prem versions and direct interconnects to their DCs. We wanted more clients like Snapchat: cloud native. World had lots of goldman sachs: hybrid. GO WHERE THE CUSTOMERS ARE.
Sales teams without quotas (🤯); chaotic branding (GCP? Google Cloud? Google for Enterprise?); title inflation - everyone was “head of X” “lead of Y”; ill-conceived vertical solutions; weak partnership programs, etc. All this took years of fixing.
When TK joined from ORCL many old-timers left GCP to other parts of Google, but he was 100% the right person for the job: aggressive, customer-obsessed, sales oriented. My friends who stayed back speak of a very different org.
GCP is likely at $8-10B ARR now and still growing >50% y/y. This is remarkable, but MSFT came from behind and is now neck-to-neck w/ AWS. I am hardly shocked - for MSFT, an Azure contract was probably 1 extra pricing sheet under a pre-existing MSDN MSA. Zero legal friction.
My google exp reinforced a few learnings for me: (1) consumers buy products; enterprises buy platforms. (2) distribution advantages overtake product / tech advantages and (3) companies that reach PMF & then under-invest in S&M risk staying niche players or worse: get taken down.
As always, this is one person’s narrative so unlikely to be fully accurate. GCP is a much, much stronger platform and team today. Goes without saying, my heart will always root for Google Cloud. We are still scratching the surface of this beast and it is still day one. /end

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Jake Williams
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Twas the night before Christmas and all over the ‘net,
Not a creature was stirring except a few cyber threats
The firewalls were configured at the egress with care,
But that wouldn’t stop us from being hit by ransomware. 1/

The children were nestled all snug in their beds,
While attackers hit the web server and established a beachhead
Mama with her EDR and I with my IDS
Were ready to tackle this hot infosec mess. /2

Down in the SOC there arose such a clatter,
I logged into my dashboard to see what was the matter.
This thing had better work, it cost so much cash.
How in 2020 can this thing STILL require Flash?! 3/

The alerts lit up the dashboard, it produced such a glow
But it’s because the threshold for alerting was configured so low.
When what to my wondering eyes did appear,
But 300 false positive alarms. I thought “I’ll be here all year.” 4/

Then a little old DLL, signed by SolarWinds,
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Dave Anderson
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@dave_universetf
In my quest to write a fast IPv4+6 parser, I have written a slow-but-I-think-correct parser, to use as a base of comparison.

In doing so, I have discovered more cursed IP address representations that I was previously unaware of.

A thread!

We start out simple, with IPv4 and IPv6 in what I'll call their "canonical form":

192.168.0.1
1:2:3:4:5:6:7:8

Various specs call these "dotted quad", dot-separated fields each representing 1 byte; and "colon-hex", colon-separated fields each representing 2 bytes.

The first bits of complexity come from IPv6. In canonical form, common addresses would end up with long runs of zeros in the middle. So, "::" allows you to elide 1 or more 16-bit blocks of zeros:

1:2::3:4 means 1:2:0:0:0:0:3:4

Next up, for cursed historical reasons, IPv6 permits you to write the final 32 bits of the address in dotted quad form. Effectively, you can splat an IPv4 address onto the end of IPv6 addresses!

1:2:3:4:5:6:77.77.88.88 means 1:2:3:4:5:6:7777:8888

And of course, you can combine the two!

fe80::1.2.3.4 means fe80:0:0:0:0:0:102:304
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Fran\xe7ois Chollet
François Chollet
@fchollet
Here's an overview of key adoption metrics for deep learning frameworks over 2020: downloads, developer surveys, job posts, scientific publications, Colab usage, Kaggle notebooks usage, GitHub data.

TensorFlow/Keras = #1 deep learning solution.


Note that we benchmark adoption vs Facebook's PyTorch because it is the only TF alternative that registers on the scale. Another option would have been sklearn, which has massive adoption, but it isn't really a TF alternative. In the future, I hope we can add JAX.

TensorFlow has seen 115M downloads in 2020, which nearly doubles its lifetime downloads. Note that this does *not* include downloads for all TF-adjacent packages, like tf-nightly, the old tensorflow-gpu, etc.


Also note that most of these downloads aren't from humans, but are automated downloads from CI systems (but none are from Google's systems, as Google doesn't use PyPI).

In a way, this metric reflects usage in production.

There were two worldwide developer surveys in 2020 that measured adoption of various frameworks: the one from StackOverflow, targeting all developers, and the one from Kaggle.
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Dusk @ it's 2021
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I am seeing a ton of confusion about protecting yourself on the Internet. So as a retired bastard genius kid, I wanted to share my own experiences and knowledge in this.

DOXXING, PERSONAL CYBERSECURITY, ANONYMITY for the average revolutionary. A thread:

If you're a regular user of huge Internet services like Amazon, Google, Twitter, Facebook, etc., as well as over the age of 18, it's wise to assume that your personally identifiable information IS attainable and IS out there. These services all collect and save info --

to varying degrees, and to varying levels of security. And this information is VALUABLE. Data breaches occur frequently, retroactively, and unknowingly, and the data from said breaches are circulated around and cached in all kinds of easy-to-access places online.

Why does this matter? A (simplified) hypothetical: while someone probably can't find your street address from just your Twitter bio, if your handle is the same as your e-mail, and that e-mail is in a publicly available data breach with a street address attached, you're screwed.

Usually when doxxing happens, a much more elaborate version of said case happens. Doxxing really comes down to investigating all of an individual's available info and digital footprints, and narrowing it down to a single identity.
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Ashfaqullah Khan was born at the turn of the 20th century on October 22, while Bismil was born 3 years earlier on June 11, in the same town. Both of them were excellent writers in Urdu and Hindi.

Both of them would come together under the Hindustan Republican Association, not to mention the fact that Ashfaq was an admirer of Bismil’s poetry, and became close friends with him on that account.

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Remarkable Commando op

A long 🧵 but worth your time

Aurangzeb sent his maternal uncle Shaista Khan with powerful army over 1,50,000 on the request of Badibegum Sahiba, Adilshahi sultanate

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Shaista Khan entered Deccan to kill Chhatrapati Shivaji Maharaj & to destroy his empire. Shahista Khan captured a lot of province and fort of Chakan near Pune.

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Till 3 years he gave lot of troubles to the subjects of Chhatrapati Shivaji Maharaj and he personally made Lal Mahal his destination to live at , which was the property of Chhatrapati Shivaji Maharaj . Lal Mahal, where Chhatrapati Shivaji Maharaj spent his childhood.

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1. In the April 1663 Chhatrapati Shivaji Maharaj personally made a surprise attack on Shahista Khan in the Lal Mahal Pune.

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Oh my Goodness!!!

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Has this man been concealing his true identity?

Is this man a supposed 'dead' Seal Team Six soldier?

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Who ELSE is alive that may have faked their death/gone into witness protection?


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Are these "golden tickets" going to lead to their ultimate undoing?

Review crumbs on the board re: 'gold'.


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ARRESTS and EXECUTIONS OF FAMOUS PEOPLE 2020 UPDATED
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2. The tribunals are arresting these people in plain clothes. We saw the Obama’s arrest, although we didn’t know it was an arrest at the time. The arrest was done nonchalantly so as to not get noticed by the public.
All arrests of these famous people were done this way.

3. If the person is convicted of child sex trafficking, crimes against humanity or treason, they will be executed.
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4. A sentence of execution down to life in prison may be accepted if their evidence is worth anything.
When a plea deal is done, the defendant must present evidence they have to make their sentence lighter. This information is given to the prosecution, defense, and to the judge.

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🌺श्री गरुड़ पुराण - संक्षिप्त वर्णन🌺

हिन्दु धर्म के 18 पुराणों में से एक गरुड़ पुराण का हिन्दु धर्म में बड़ा महत्व है। गरुड़ पुराण में मृत्यु के बाद सद्गती की व्याख्या मिलती है। इस पुराण के अधिष्ठातृ देव भगवान विष्णु हैं, इसलिए ये वैष्णव पुराण है।


गरुड़ पुराण के अनुसार हमारे कर्मों का फल हमें हमारे जीवन-काल में तो मिलता ही है परंतु मृत्यु के बाद भी अच्छे बुरे कार्यों का उनके अनुसार फल मिलता है। इस कारण इस पुराण में निहित ज्ञान को प्राप्त करने के लिए घर के किसी सदस्य की मृत्यु के बाद का समय निर्धारित किया गया है...

..ताकि उस समय हम जीवन-मरण से जुड़े सभी सत्य जान सकें और मृत्यु के कारण बिछडने वाले सदस्य का दुख कम हो सके।
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तदुपरांत सुर्य व चंद्र ग्रहों के मंत्र, शिव-पार्वती मंत्र,इन्द्र सम्बंधित मंत्र,सरस्वती मंत्र और नौ शक्तियों के बारे में विस्तार से बताया गया है।
इस पुराण में उन्नीस हज़ार श्लोक बताए जाते हैं और इसे दो भागों में कहा जाता है।
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