How to claim maximum deduction while filing the declaration and pay Zero tax for CTC of up to Rs 20 Lacs in case of a salaried employee for FY 2022-23

A thread on deductions for salaried 🧵

They’re shooting into the chamber.

1) The Temple of the Divine Claudius was a vast temple complex on Rome's Caelian Hill, overlooking the valley that would later be occupied by the Colosseum. Though almost nothing now remains of the structure, its scale and grandeur once rivalled anything in the city.. #LostRome

2) The 'Claudium' was intended as a sacred complex to revere Claudius and the imperial cult. Construction began soon after the death and deification of the emperor in 54 AD, initiated by his widow Agrippina who was likely responsible for his supposed death by poisoning. #LostRome

3) The sprawling temple complex sat on a gigantic podium that spread across the Caelian Hill, measuring 180 x 200 metres; with towering retaining walls of travertine that raised the structure 20 metres above the valley below. #LostRome

4) The elevated sacred area was likely entered by steps facing the temple on the west side. The temple itself had a projecting hexastyle porch and was surrounded by gardens and a grand portico, probably the 'porticus Claudia' mentioned in Martial's 'On the Spectacles'. #LostRome

5) Statues of both Agrippina and Claudius’ ill-fated young son Britannicus, sculpted in sumptuous dark Egyptian greywacke, were discovered among the ruins on the Caelian Hill in 1651 – and had almost certainly been displayed in the temple precinct. #LostRome

This is Kuinini ‘Nini’ Manumua, the woman who was ultimately displaced by inclusion of Laurel Hubbard.

She’s 21, and it would have been her first Olympics.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.