"Let Me Say it Now": IPS Rakesh Maria sir

Lashkar-e-Taiba(LeT) wanted to project 26/11 Mumbai attacks as a case of “Hindu terrorism”

All the terrorist including Ajmal Kasab was given Fake IDs with Hindu names.

In this book,he breaks his silence for the 1st time.

cc- @Swamy39

'Let Me Say It Now', Elaborating on the Hindu Terror conspiracy, IPS Maria sir writes,

"If all had gone well he
[Ajmal Kasab, the only one of the ten terrorists to be caught alive]
would have been dead with a red string tied around his wrist like a Hindu."
We would have found an identity card on this person with FICTITIOUS name "Samir Dinesh Choudhari",
student of Arunoday Degree and P.G College.'

and said that it ruined the plans of Pakistan of proclaiming the Mumbai Terror Attack as a Hindu conspiracy.
Over the last couple of decades, Mumbai has had its fair share of organised crime and terror attacks.
Chain snatching's, extortion's, gang-rapes, communal violence, terrorist bombings and ...
then of course the Terrorist attacks on 26/11 which lasted for over 48 hours.
After each incident, the common refrain has been to lay the blame at the doorstep of the Mumbai Police department for their lack of intelligence and capability for dealing with the problems of the maximum city.
IPS Rakesh Maria sir, having served in the Crime Branch, ATS and then as Commissioner of Police – Mumbai,

has not just had a ring-side view to these events, but has played a key role in investigating many of these crimes and bringing the perpetrators to justice.
His autobiography, ‘Let Me Say It Now’ comes at a time when the public memory is fresh enough for the back-story behind each of these incidents.

IPS Maria sir takes us back to the 1993 Mumbai serial bomb blasts or the acts of terror perpetrated by the Indian Mujahideen.
At the same time, Mr Maria provides a very detailed insight into the hard life of a Mumbai policeman.

Never-ending duty hours, constant media and political attention, poor working conditions and an un-supportive system.
Yet, the honourable do not give up.

Unfortunately, as IPS Maria sir highlights...

the reward for such commitment and integrity is often a transfer.
Do you remember the propaganda of Congress during 26/11 TERROR attack?
They tried their best to prove this attack by Hindu
Digvijay,Mahesh Bhatt parroted same line&also released book blaming RSS.
Mahesh Bhatt's son was also found linked to David Headley
Too much of a coincidence?
In Pathankot Attack, Key Role Of Terrorist Released By Congress Government .

Latif was Released by the Congress-led government in 2010, along with nearly 20 other terrorists who returned Pakistan through the Wagah border in Punjab

& Digvijay!🔻
https://t.co/maDhHh99Cq
Set FALSE narrative in the name of entertainment!

There is a scene in film 83, where Pakistan Army stopped firing so that Indian Army could watch world Cup final

But in reality, such thing never happened

This is Bollywood for you!
Agenda driven.

https://t.co/61NHwRz3OP
Agenda driven Bollywood - Pakistani Army stops bombing so Indian soldiers can follow cricket score.

Real life Pakistani Army commits ceasefire violations on a regular basis.

Even real Pakistani Army must be laughing hard at that scene.

#83Movie

https://t.co/GXU8vbxEtN
14/n

Do you remember PROPAGANDA during 26/11 TERROR attack?

Congress's DIGVIJAY

Bollywood's MAHESH BHATT

They tried their best to prove this attack by Hindu also released book blaming RSS.

MAHESH BHATT's son was also found linked to David Headley.

Too much of a coincidence?

More from All

How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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