Every single CDMO/API I’ve spoken about has still many many unseen angles. Below is a small example. Last added @LaurusLabs near 330 last year and immediately disclosed that I’ve added. Nothing sold since. Waiting for correction to add more 🙏🏻

Keywords: Many many unseen angles

TYPES OF SINS(PAAP) AS PER SKAND PURAN.

There are three types of Adharma- Sthool, Sukshma and Ati Sukshma. The group of Sins in the Sthul section carries you to Narak. These sins are committed through your thoughts, words and deeds.

It is of four types.

1)First is the sin committed by your mental state-
Thinking about woman other then your spouse.

A)Resolution to amass wealth from others.

B)Thinking ill about others.

C)Thinking of doing a forbidden or unworthy deed.

2)Second is the sin that you commit through your words :-

A)Talking irrelevant things.

B)Telling a lie.

C)Speaking harshly.

D)Talking ill about others.

3)Third type of sin is committed through your body actions-

A)Eating food not prescribed to you or forbidden.

B)Violence.

C)Eating fancier food.

D)Acquiring other's wealth.

So these twelve types of sins.

There are six types of sinners or Mahapatak

1)One not bowing his head in front of a temple.

2)Never praise Shiva.

3)People who behave untowardly way in front of Ishwar.

4)People who do not show respect to Ishwar, guru or one who are undignified.

5)One who do not behave properly.

6)One who is jealous of other bhakts.

Below is the list of sins which people may commit.

1)One who does not help a needy person or a person in pain,

Shri Hanuman had boon to be immortal. And be present where ever there is Ram stuti.
I came across this beautiful story that I would like to share
#threadstories
#Hanuman ji is believed to live in the foothills of Himalayas. But once he spent a lot of time in Sri Lanka
1/9

Where Ravan's brother ruled for many years..
On his way back he came across tribal people from community called #Mathanga
He gave Darshan to them. The chief of the tribe asked him to keep coming back to guide their generations
Hanuman ji said that whoever recites this mantra
2/9

I will give them Darshan. But there are two conditions
1st he/she must know his relationship with me
2nd there must not be anyone around him in 950 mts radius. If present, that person must also know about my relationship with him /her.

He promised to come after every 41 yrs
3/9

The Mathangs also maintain a ‘logbook’ where they record all the words spoken and ‘leelas’ performed by Lord Hanuman.
They call him their Guru
Who teaches them how to live their lives.
A Sri Lankan organization called Setuu is studying this ‘logbook’ and also conduct
4/9

programmes for Hanuman devotees who can do ‘Sadhna‘ under the guidance of Setuu masters. Devotees who qualify all the criteria will be eligible for Hanuman’s ‘sakshaat darshan‘
The Setuu has certain conditions that need to be kept in mind which includes devoting one complete
5/9

Dr. Anandibai Joshi

Upon her birth on 31 March 1865 she was named Yamuna, after the holy river. Her parents Gunputrao Amritaswar Joshee & Gungabai Joshee came from a long lineage of wealthy landlord family in Kalyan of Bombay Presidency, whose wealth was now waning.

Anandi was the sixth of 10 children, & had 4 brothers (only two of which survived) & five sisters. Her father was particularly fond of her, as she was a bright child with an inquisitive mind. Being an educated man himself, Ganpatrao assured that his daughter was taught Marathi.

As was common practice she was married at a tender age of 9, to Gopalrao Joshi, a 29 year old widower who worked as a postal clerk in the same city. After marriage her husband named her ‘Anandibai’ (which means ‘Joy of my heart’).

Gopalrao was man ahead of his times with reformist ideas & had married Anandibai on the condition that he would be allowed to educate his wife.

He even tried to enroll Anandi in a missionary school, but did not succeed. Despite being the supportive husband, Gopalrao had his flaws.

He was a strict teacher & would sometimes resort to beating if Anandi slacked in her studies.

Some people really benefit from hearing advice that everyone knows, for the same reason we keep schools open despite every subject in them having been taught before.

In that spirit, here's some quick Things Many People Find Too Obvious To Have Told You Already.

Your idea is not valuable, at all. All value is in the execution. You think you are an exception; you are not. You should not insist on an NDA to talk about it; nobody serious will engage in contract review over an idea, and this will mark you as clueless.

Technologists tend to severely underestimate the difficulty and expense of creating software, especially at companies which do not have fully staffed industry leading engineering teams ("because software is so easy there, amirite guys?")

Charge more. Charge more still. Go on.

The press is a lossy and biased compression of events in the actual world, and is singularly consumed with its own rituals, status games, and incentives. The news necessarily fails to capture almost everything which happened yesterday. What it says is important usually isn't.

Companies find it incredibly hard to reliably staff positions with hard-working generalists who operate autonomously and have high risk tolerances. This is not the modal employee, including at places which are justifiably proud of the skill/diligence/etc of their employees.

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.