Decoding the One Big Beautiful Bill Act for Tech Workers

New tax law, same tax code for tech workers… mostly.\
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President Trump signed the One Big Beautiful Bill Act into law on July 4, 2025.\
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In terms of the impact to your taxes, this bill largely maintains the status quo by making permanent most of the tax changes introduced on a temporary basis through the Tax Cuts and Jobs Act in 2017.\
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It does, however, add a few new wrinkles to the tax code.\
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I’m hosting a live webinar next week to break it all down for tech professionals like you.\
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🎙️ Webinar: Decoding the One Big Beautiful Bill Act for Tech Workers\
🗓️ Date & Time: July 24, 2025 from 2-2:45 PM Pacific Time\
📍 Where: Live on Zoom\
💡 Especially relevant for:\
👉 Anyone in a high-income bracket that pays a lot in state & local tax\
👉 Folk planning to make Roth conversions in the next few years\
👉Those considering retiring at 65+ in the next few years\
👉 Anyone considering taking a career break or on an ACA plan\
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We’ll cover:\
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✅ Changes to the deductibility of state and local taxes\
✅ How the new bill affects ISO exercises and your likelihood of paying AMT\
✅ What's up with Section 174?\
✅ Changes to QSBS\
✅ "No tax on tips/overtime"\
✅ Deductibility of new U.S. car loan interest\
✅ The new "Trump account"\
✅ Impacts to Medicaid\
✅ The new bonus deduction for seniors\
✅ Updates to clean energy and EV credits\
✅ How the new rules impact ACA health insurance subsidies

Taro Book Club: The Pragmatic Programmer - Session 5

Session Led by [Bikram Kashyap](https://www.linkedin.com/in/kashyapbikram/)

In this #taro-bookclub discussion, we'll go over [**"The Pragmatic Programmer"**](https://www.amazon.com/Pragmatic-Programmer-Journeyman-Master/dp/020161622X) by Andrew Hund & David Thomas

Here's the agenda:

- Decoupling
- Juggling the Real World
- Transforming Programming
- Inheritance Tax
- Configuration

Please send your questions ahead of time to [**Bikram Kashyap**](https://www.linkedin.com/in/kashyapbikram/) in the [**Taro Premium**](https://www.jointaro.com/membership/) Slack, so that they can be included in the discussion. *If you don't have the book or want more details on how this all works, check out the #taro-bookclub channel in the Taro Premium Slack as well!*

Get ready for another engaging and informative session!

Paper Reading: Enhancing Reasoning Abilities in LLMs through Geometrical Understanding

Session Led by [Lucia Mocz](https://www.linkedin.com/in/lucia-mocz-ph-d/)

The advancement of large language models (LLMs) for real-world applications hinges critically on enhancing their reasoning capabilities. In this paper read, we explore the reasoning abilities of LLMs through a geometrical framework. We establish a connection between the expressive power of LLMs and the density of their self-attention graphs.

The analysis performed in this work demonstrates that the density of these self-attention graphs defines the intrinsic dimension of the inputs to the MLP blocks. In particular, it shows, through theoretical analysis and toy examples, that a higher intrinsic dimension implies a greater expressive capacity of the LLM. Additionally, it provides empirical evidence linking this geometric framework to recent advancements in methods aimed at enhancing the reasoning capabilities of LLMs.

Don't miss this opportunity to deepen your understanding of how geometrical insights can drive improvements in AI reasoning. Whether you're an AI researcher, practitioner, or enthusiast, this talk promises to offer valuable perspectives and groundbreaking ideas.\
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Paper: [**https://arxiv.org/abs/2407.02678**\
(Accompanying](https://arxiv.org/abs/2407.02678￼\(Accompanying) paper: [**https://arxiv.org/abs/2312.01648**](https://arxiv.org/abs/2312.01648))

Paper Reading: Adaptive Radix Tree - ARTful Indexing for Main-Memory Databases

**Session Led by:[ Dharin Shah](https://www.linkedin.com/in/dharinshah/)**

**Link to Paper:[ ](https://db.in.tum.de/%5C~leis/papers/ART.pdf)[https://db.in.tum.de/\\\~leis/papers/ART.pdf](https://db.in.tum.de/~leis/papers/ART.pdf)**

This paper reading session, we will deep dive into a in-memory optimized index structure, that leverages modern CPU caches to make IOPS faster, also allowing range queries.

Abstract—Main memory capacities have grown up to a point where most databases fit into RAM. For main-memory database systems, index structure performance is a critical bottleneck. Traditional in-memory data structures like balanced binary search trees are not efficient on modern hardware, because they do not optimally utilize on-CPU caches. Hash tables, also often used for main-memory indexes, are fast but only support point queries.

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.

Decoding the One Big Beautiful Bill Act for Tech Workers

Taro Book Club: The Pragmatic Programmer - Session 5

Paper Reading: Enhancing Reasoning Abilities in LLMs through Geometrical Understanding

Paper Reading: Adaptive Radix Tree - ARTful Indexing for Main-Memory Databases