KYB is an extension of KYC processes, focusing on verifying identity and assessing risk of business customers.
Regulatory landscape around KYB has evolved over time, with laws requiring more scrutiny on business relationships.
Major trends in KYB include the growth of fraud and cyber risks, increasing number of small businesses, and the demand for consumer-like digital experiences by SMBs.
Reports are being released earlier, which shrinks the early sample used for forecasts and raises the chance of bigger revisions; recent winter storms also delayed some closings and could make January sales look weaker than they really were.
In the local markets that have reported, closed sales are down noticeably year‑over‑year (around -5.6% NSA), so seasonally‑adjusted national sales for January are more likely to be flat or slightly down instead of a strong gain.
New listings are modestly down (~1.6% YoY) while active inventory is up (~5.8% YoY), so supply is higher than a year ago but still mixed compared with pre‑pandemic 2019 levels.
The traditional job is changing, and many people are finding new ways to earn money outside of formal employment. Technology is making it easier to work in more flexible and decentralized ways.
We're seeing a shift toward financial security rather than full employment. Concepts like Universal Basic Income are being considered to help people when jobs are less available.
The future of work may involve more projects and contracts with multiple income streams. People will likely collaborate in smaller teams and use technology to support their work.
Private equity firms invest in existing businesses to help them grow and become more profitable, sharing in the profits as a result. It's like giving your friend's business a boost with your investment.
These firms raise money from wealthy individuals, pension funds, charities, and banks to create a fund for their investments. This means they pool money from different sources to make bigger investments.
Private equity can create jobs and drive economic growth, but it also has a reputation for being tough on company management and workers during operational changes. Understanding its impact helps you see how it can touch everyone's life.
Recent reports by researchers highlighted concerns about companies like AppLovin and Construction Partners, suggesting they are facing serious revenue and operational issues.
There have been notable executive resignations at companies such as Blue Bird Corp and Lanzatech Global, indicating potential instability within those organizations.
The SEC released FOIA logs suggesting certain companies are under investigation, as many investors see this as a red flag about their business practices.
XDR trends include the growing use of ML/AI-powered XDR services to enhance detection and response capabilities, rising deployment of MXDR solutions for SMEs, and adoption of XDR in SecOps for improved security operations.
Key challenges of XDR are lack of standardization and clarity in definition and implementation, integration and interoperability issues with existing security solutions, and privacy and compliance concerns with data collection and sharing.
Opportunities with XDR include enhanced security posture and performance, innovation and differentiation for providers and users, and growth and expansion into new markets and segments for scalability and flexibility.
Xiaomi has been working for over a decade to develop its own chips, overcoming past failures to launch their new Xring O1 chip. This shows their commitment to compete in the high-end smartphone market.
The company learned from its earlier struggles and made smart changes, like bringing chip development in-house to improve teamwork and communication. This helped them build a stronger, more focused chip-making team.
Despite their successes, Xiaomi faces significant challenges ahead, notably the need to sell enough phones equipped with their new chip to make the investment worthwhile. They are determined to continue improving and innovating in this area.
Context switching happens when a computer's operating system manages multiple tasks. It's necessary for keeping the system responsive, but it can slow things down a lot.
Understanding what happens during context switching helps developers find ways to reduce its impact on performance. This includes knowing about CPU registers and how processes interact with the system.
There are specific vulnerabilities and costs associated with context switching that can affect a system's efficiency. Being aware of these can help in optimizing performance.
Markets are very uncertain for 2026: either a liquidity-fueled rally lifts prices regardless of weak fundamentals, or a slow-burn downturn hits as consumer debt and delinquencies worsen.
Political pressure on the Fed could lead to premature rate cuts that damage policy credibility, raise inflation expectations, and push markets toward extreme steps like yield-curve control.
Even with macro risk and noisy year-end forecasts, there will be overlooked pockets of opportunity where active hunting for underpriced assets can produce asymmetric upside.
The speaker has had a busy year filled with exciting projects, including working on small tech boards and experimenting with new materials.
They recently launched the ESP32 Rainbow project, which is fully funded and aimed to be a product soon, with interesting development challenges along the way.
The speaker thanks their supporters, including Patreons, and looks forward to sharing more content and projects in the new year.
It is crucial to integrate UX principles into the employee experience to enhance engagement and productivity in the workplace.
By applying UX methodologies like user research, iterative design, and usability testing, organizations can create environments that prioritize employee needs and well-being.
UX professionals can play key roles in optimizing the employee experience by leading research, advising on best practices, and educating workplace teams on UX skills and mindsets.
Many SaaS companies are raising their prices. In 2024, about 42% of them made adjustments, with an average increase of 20%.
Some companies are adding or removing plans to better meet customer needs. Others are being more strategic with their pricing pages to attract larger clients.
Pricing strategies are evolving, with some companies using discounts to gain new customers while others maintain strict pricing models to target premium segments.
Performance optimization in Python has changed a lot due to improvements in the Python virtual machine. Tricks that helped in the past may not be needed anymore.
Creating local aliases for functions can speed up access, but recent Python updates have made this less important. In many cases, the performance difference is small now.
Not all lookups are the same—using direct local references or importing functions can still be faster than accessing them through module paths. Always consider readability vs. speed based on your code's needs.
Python 3.13 has been released, bringing many new features like better error messages and a new JIT compiler. It's exciting, but users are advised to hold off on upgrading until next year.
Template strings (or t-strings) are introduced, offering a cleaner way to create formatted strings that can be used in various situations. This could help prevent mistakes when handling string formatting for tasks like translation or logging.
New proposals like external wheel hosting and dependency groups in pyproject.toml make it easier to manage packages and their dependencies, especially for larger libraries.
Global capitalism is complex and can't just be understood as one single economy. Different sectors, like finance and agriculture, have their own unique ways of operating.
It's important to recognize the different sectors of capitalism to fully understand how they interact. For example, globalization affects industries like manufacturing and real estate in distinct ways.
By acknowledging that capitalism is made up of many different parts, we can avoid oversimplifying it and appreciate the specific factors at play in each aspect.
Paid subscriptions are now available for the newsletter, and it's a way to support the creator if you appreciate their work. You can choose a monthly or annual subscription.
Subscribers will get some benefits, like priority access to events and possibly the ability to provide feedback on drafts. It's a way to show you're really interested in what they do.
The creator is open about using the income to help with other projects and improve the quality and speed of their content, making it more valuable for subscribers.
Websites selling Bluesky followers, likes, and reposts have multiplied and are easy to find with a simple search as the platform grows.
Many of those sites look nearly identical, use the same chat widgets (often backed by LLMs), and rely on similar hosting, which suggests shared operators or common tooling.
Fake follower accounts show a repetitive bio pattern like “X based, interested in Y,” and thousands were created in bulk, indicating they were manufactured for sale.
Using Chain-Of-Thought prompting helps large language models think through problems step by step, which makes them more accurate in their answers.
Smaller language models struggle with Chain-Of-Thought prompting and often get confused because they don't have enough knowledge and understanding like the bigger models.
Google Research has a method to teach smaller models by learning from larger ones. This involves using the bigger models to create helpful examples that the smaller models can then learn from.
In software design, there are ordinary phases (small changes) and revolutionary phases (fundamental changes) - understanding when each is needed is important.
Revolutionary design violates the open/closed principle by requiring new elements and relationships that don't fit with the existing design.
Revolutionary changes in design require different values and care compared to ordinary design - they are essential for accommodating new types of features.
Modern LLM chatbots can create deep, parasocial bonds that leave vulnerable people emotionally dependent and at risk of harm, and adding ads to those relationships makes that danger far worse.
Economic pressure is pushing AI from search-style results to single "answer engines," which incentivizes native, trust-exploiting advertising that users are less likely to recognize as persuasion.
Protecting people requires systemic fixes: legally imposing fiduciary duties for companion AIs, forcing clear ad disclosures and cognitive breaks, recognizing neurorights, building public ad-free AI options, auditing models, and holding companies liable for harms.
Start learning about Bitcoin first. It’s crucial to understand the basics like the Bitcoin whitepaper and how its network works.
Next, dive into Ethereum. This platform allows for smart contracts and is key to many new decentralized applications.
Don't forget about stablecoins. They help connect the crypto world with traditional finance and are growing rapidly, so learning about their types and use cases is important.
Cassie at Palm is excited about a new product called Touchdown but worries about funding for its launch. They found a partner to help manufacture it, which is a positive step.
Len's career is taking a turn after Netscape's success, leading him to a possible job managing a new Internet-focused mutual fund. He’s starting to realize he enjoys this direction more than retirement.
The bond between Len and his daughter Janet grows as they navigate their new potential successes together. Both are starting to embrace a more ambitious and wealthy future.
Data can be really complicated, and it's easy to miss how everything connects. People often focus on their own area and forget about the bigger picture of the data ecosystem.
Chief Data Officers (CDOs) are important but can only do so much to fix data issues. They deal with many challenges, including limited power, lack of experience, and politics within the organization.
To improve in the data field, we need to recognize the gaps in our knowledge, prioritize what to focus on, and continuously educate ourselves in both our own areas and related data domains.