**May 28, 2025** - BTC Inc., the leading provider of Bitcoin-related news and events, is excited to announce that the Bitcoin Conference, the world’s largest and most prestigious gathering of the Bitcoin industry, will be returning to Las Vegas next year. Next year’s conference will take place at the Venetian Las Vegas from April 27 – 29, 2026.

The announcement comes on the heels of a highly successful Bitcoin 2025 event, which saw over 35,000 attendees descend on Las Vegas to participate in valuable networking and community-building events, experience leading-edge technology showcases, and hear insights from policy leaders, business executives, and celebrities across the Bitcoin industry.

“Bitcoin 2025 was the largest event in Bitcoin’s history and arrived at a pivotal moment for the industry,” said Brandon Green, Chief of Staff at BTC Inc. “Next year, we are going to compound it into not only the biggest event in Bitcoin’s history, but one of the largest and most important events globally.”

“Our city and state were delighted to host the Bitcoin conference this year,” said Governor Joe Lombardo. “Las Vegas is home to groundbreaking innovation and exciting new ideas, and we’re the perfect forum for the 2026 Bitcoin conference. We look forward to welcoming the conference to our state again next year.”

Tickets for Bitcoin 2026 are available for purchase on the official conference website. Interested individuals and organizations are encouraged to secure their spots early, as demand is expected to be unprecedented.

For sponsorship opportunities, media inquiries, or further information about The Bitcoin Conference, please contact us or visit <https://b.tc/conference/2026>.

**About The Bitcoin Conference:**

The Bitcoin Conference is the world’s largest and most influential gathering of Bitcoin professionals, investors, and thought leaders. Committed to fostering Bitcoin adoption and industry innovation, the conference has grown into a global phenomenon since its founding in 2019. Learn more at [https://b.tc/conference/2025 ](https://b.tc/conference/2025)

The World’s Largest Bitcoin Conference Returns to Las Vegas in 2026

Explore the largest Bitcoin Conference!

# Artificial intelligence in psychotherapy: a new frontier or a threat to humanity?

Psychotherapy, for a long time considered exclusively the sphere of human interaction, is transforming today under the influence of the rapid development of AI. Chatbots, self-help apps, and remote counselling platforms based on machine learning algorithms are slowly entering our lives, promising new opportunities in mental health. But how useful are these innovations, and what risks do they carry?

## Accessibility and personalization: The benefits of AI in psychotherapy

One of the main benefits of AI in psychotherapy is accessibility. Conventional therapy is often limited by geographic barriers, high cost, and lack of skilled professionals. AI tools, by contrast, can provide 24/7 support tailored to a user's individual needs at a significantly lower cost, and in some cases at no cost.

Apps using cognitive behavioral therapy (CBT) have shown effectiveness in combating depression and anxiety disorders by offering structured programs and personalized tasks. For example, [Woebot](https://spectrum.ieee.org/woebot) Health provides a CBT-based chatbot that helps users deal with negative thoughts and emotions. Users interact with Woebot via text messages, receiving real-time support and recommendations.

Another example is [Wysa](https://www.wysa.com/for-individuals), which offers an AI assistant for support in everyday life. The app provides more than 200 digital self-help tools, including mindfulness exercises, breathing practices, and relaxation techniques. Wysa also offers the ability to communicate with qualified professionals for additional support.

### Specialist support: AI as an assistant, not a replacement

AI can help psychotherapists in their work. Algorithms are able to analyze large amounts of data, identifying patterns in patient behavior that may be overlooked by humans. This allows specialists to more accurately diagnose problems, develop personalized treatment plans, and track progress. In addition, AI can automate routine tasks such as record-keeping and reporting, freeing up time for deeper patient interactions.

Spring Health uses AI to personalize psychotherapeutic care. Their platform analyzes patient data to find the most appropriate treatments and specialists. This helps to reduce waiting times and increase the effectiveness of therapy.

### Empathy as a non-programmable quantity

But for all the efficiency of algorithms, the key question remains: can AI replace human understanding and empathy? Psychotherapy is not just the application of techniques, but the process of establishing a deep, trusting connection between two people.

AI can recognize the tone of speech, choose the right exercise, but it does not "feel" pain, doubt, or guilt. It doesn't interpret silence, it doesn't pick up semitones, it doesn't make a genuine connection. As psychotherapist Laurie Gottlieb said, "a person's presence and attention is something that heals, not an algorithm".

Philosophically, the question here is: can psychotherapy without a person be truly therapy, or does it become only an improved form of self-help?

## Risks: privacy, addiction, and the illusion of help

AI in psychotherapy is associated with several dangers:

1. Copyright/IP Policy. Psychotherapeutic sessions contain sensitive information, and leaks or breaches of systems can be devastating. For example, in 2023, there was a large-scale scandal with data leakage from the BetterHelp application - more than 7 million users were at risk.
2. Dependence on technology. If a person begins to rely solely on a chatbot, this can weaken their motivation to develop communication skills, self-reflection, and real interaction. "Pattern psychotherapy" appears, where depth is replaced by speed.
3. Security illusion. Some users may perceive AI as a complete replacement for a therapist without realizing the limitations of the technology. But AI has no right to diagnose, it is not responsible - it can be dangerous in crises.

## The future of psychotherapy

The future of psychotherapy likely lies in a symbiosis of human experience and artificial intelligence capabilities. AI will be used to increase access to care and make treatments more effective, while maintaining the centrality of the human therapist and their capacity for empathy and understanding.

It is important to develop ethical standards and regulations for the use of AI in psychotherapy to ensure the safety and effectiveness of such tools. More research also needs to be done to assess the long-term effects of AI use in mental health.

Ultimately, artificial intelligence can be a powerful tool in the psychotherapy arsenal, but it should not replace the human interaction that underpins effective treatment.

What are the pros and cons of AI in psychotherapy?

AI against anxiety: how GPT models are becoming next-generation therapists

# What happens when startups start evaluating algorithms rather than people

Traditionally, venture capital is about flair. An experienced fund partner "hears" the correct intonation in the funder's voice, feels that the idea falls into the zeitgeist, and may agree to invest even without a clear business plan. This model has worked for decades - and still does. But the world is changing, and with it, the rhythm and scale of the industry.

In recent years, analytical platforms built on machine learning have begun to enter the venture capital market. Their goal is to replace intuition with calculation, structure with algorithm, and charisma with metrics. This is not an attempt to remove a person from the process, but rather a significant shift in the role that person plays, instead of an "investor-visionary" - an analyst who relies on the forecasts of the system.

Such a transition is not loud, but irreversible. And startups should understand how decisions are now made about who will be given money, and why.

![Image from FreePik](img/dall·e-2023-11-30-12.00.14-a-corporate-and-sophisticated-digital-banner-16_9-aspect-ratio-for-the-article-stability-ai-positioning-itself-for-acquisition.-the-design-should-1024x585.jpg)

## Why did you even need AI in venture capital?

Over the years, investors around the world have received hundreds of thousands of pitches. Even if the fund works with a specific focus, for example, only with fintech in Southeast Asia or only with SaaS platforms, up to several dozen applications can come in per day. You cannot view, structure, or filter this stream manually.

This is where artificial intelligence comes in. Next-generation platforms such as EQT Motherbrain, SignalRank, and Tribe Capital's System of Intelligence are taking over the work of the first layer of filtering. They do not just automate the selection, but build a logically based assessment model for each startup, based on a huge amount of data.

### What exactly does AI analyze?

* Company website and its structure
* Press mentions
* LinkedIn activity
* Attendance growth rate
* Team composition and biography
* Volumes and frequency of code updates (in the case of a tech startup)
* Patents
* Market structure
* Open source user behavior
* Tone of mentions

All this is compared with the base of successful and failed startups, and a model of probable success or failure is built. This is not about guarantees, but about an informed assumption of who is more likely to "take off".

## What changes for funds

Funds are starting to think like data companies. Instead of relying entirely on meetings, they integrate tools that suggest: "Pay attention to this project, it looks like successful cases three years ago". Or vice versa - "this startup has too many red flags, although they were convincing at the presentation".

The human factor is still important, but now it is not at the beginning, but closer to the end of the funnel. Instead of 200 meetings, 20. And each, after selection based on models that take into account thousands of factors.

It saves time, reduces costs, and helps funds not miss worthwhile projects that could pass by simply because of the lack of the right intro or a bad slide.

### How startups can now prove their worth

The most noticeable change is the diminishing role of charisma. Yes, it still works in the late stages. But at the entrance of the funnel, it is not enough. The algorithm does not recognize emotions, it is not interested in your slogans. He looks at the growth trajectory, at the logic of product development, at the coincidence of patterns.

This means that founders should better document their actions, track metrics, form open sources of information, develop command pages, and make them understandable for machine analysis.

A startup with a strong idea but zero digital transparency will fail. But a young project with provable metrics, even without connections, has a chance to be noticed and rise higher in the ranking.

## And if the algorithm is wrong?

Wrong - of course. Because AI doesn't understand the context. He can "hack" an idea that will later turn out to be revolutionary. It does not work well with rare, non-standard hypotheses. He builds a forecast based on the past, and breakthroughs often run counter to the logic of previous successes.

That is why in new systems, AI does not replace a person, but helps them. In the fund model, AI can act as a "scout", "analyst", or "partner assistant". But the investor still has the final word, especially when it comes to non-standard or risky solutions.

The principle is simple: the car shows the field, and the person chooses which one to play.

![Image from FreePik](img/gettyimages-1164885329.png)

## This is just the beginning

Today, only part of the large funds work with such approaches. But the trend is obvious. Small and medium-sized funds connect API tools, integrate assessment platforms, and hire data science specialists inside teams.

Startups, in turn, are starting to monitor how they look in the digital space. How they can be analyzed, what signals they send to open sources, and how much they correspond to the patterns of successful companies.

AI in venture is not about replacement. This is about the restructuring of thinking. Instead of the question "in whom we believe," the question "what can be justified" appears. Intuition does not go anywhere, but now it must go hand in hand with evidence-based analytics.

If you are a founder, do not wait until you are noticed in person. Make the data speak for itself.

If you're an investor, don't rely on old methods. New capabilities require new tools.

And if you just watch the industry, remember this moment. This is one of those rare cases when not only the product, but also the very way of making decisions, becomes technology.

AI-investors are coming: what does this mean for the funders and funds?

What to expect from AI investors?

## Introduction

ESG investing, which takes into account the environmental, social, and governance aspects of companies or assets, has gained significant traction in recent years. Investors are increasingly seeking to align their values with their financial goals, and ESG investing offers a way to achieve both. This article explores the benefits and challenges of ESG investing and provides a step-by-step guide for those interested in getting started.

## Benefits of ESG Investing

![P﻿hoto by rawpixel.com on FreePik](img/benefits.avif "P﻿hoto by rawpixel.com on FreePik")

P﻿hoto by *rawpixel.com* on *FreePik*

1. Resilience and Adaptability: ESG investing helps investors identify companies that are more resilient and adaptable to changing market conditions and societal expectations. By considering factors such as environmental sustainability, social responsibility, and strong governance practices, investors can choose companies that are well-positioned for the future.
2. Risk Mitigation: ESG investing allows investors to avoid companies that are exposed to environmental, social, or governance risks that could harm their reputation, profitability, or viability. By incorporating ESG criteria into investment decisions, investors can reduce the potential for negative surprises and mitigate risks.
3. Positive Impact: ESG investing enables investors to support companies that are actively contributing to positive social and environmental outcomes. Whether it's reducing greenhouse gas emissions, promoting diversity and inclusion, or improving human rights, investing in companies with strong ESG practices can make a tangible difference in the world.

## Challenges of ESG Investing

1. Measurement and Comparison: One of the challenges of ESG investing is the lack of a universal standard or framework for measuring and comparing ESG performance across companies. This makes it difficult for investors to evaluate and compare the sustainability practices of different companies accurately.
2. Data Availability and Reliability: Finding reliable and consistent data on ESG factors can be challenging. Some companies may not disclose relevant information, and there can be variations in metrics and methodologies used for ESG reporting. Investors need to be diligent in sourcing accurate and comprehensive data to make informed investment decisions.
3. Greenwashing: Greenwashing refers to misleading marketing or exaggeration of ESG credentials by companies. Some companies may misrepresent their ESG practices or impact, making it challenging for investors to distinguish between genuinely sustainable companies and those engaging in greenwashing.

## Getting Started with ESG Investing

![P﻿hoto by FreePik](img/investing.avif "P﻿hoto by FreePik")

P﻿hoto by *FreePik*

1. Open an online brokerage account: Choose a brokerage platform that offers ESG stocks, funds, or ETFs, and compare different brokers based on their features, costs, and ESG screening tools.
2. Understand your ESG criteria: Define the environmental, social, and governance factors that are important to you and determine how you want to measure them. Use ESG scores, ratings, or frameworks to evaluate the sustainability of companies or investments.
3. Choose your investment approach: Decide how you want to build your ESG portfolio based on your preferences, goals, and risk tolerance. Options include using a robo-advisor, investing in ESG ETFs or mutual funds, or selecting individual ESG stocks.
4. Conduct thorough research: Verify the ESG credentials and performance of companies or funds you're interested in. Utilize various sources such as company reports, news articles, analyst opinions, or third-party data providers to gather comprehensive information.
5. Seek professional advice: If you're new to ESG investing or need guidance, consider consulting with a specialist or professional advisor who specializes in ESG investing. They can assist in designing a suitable ESG strategy, selecting appropriate investments, and monitoring your portfolio.

## Measuring the Impact of ESG Investments

Measuring the impact of ESG investments can be complex due to the absence of a universal standard or framework for reporting and disclosure. However, here are steps to evaluate the social and environmental outcomes of your ESG investments:

1. Identify your ESG criteria and goals: Define the ESG factors that align with your values and financial objectives. Use ESG scores, ratings, or frameworks to assess the sustainability of your investments.
2. Choose a measurement method: Select a method that captures the inputs, outputs, and impacts of your ESG investments. Utilize quantitative or qualitative indicators such as greenhouse gas emissions, diversity and inclusion metrics, customer satisfaction scores, or case studies.
3. Compare with benchmarks: Compare your ESG performance with relevant benchmarks, such as sector-specific ESG topics, stakeholder-specific factors, or peer group averages. This helps identify strengths, weaknesses, and sets realistic targets for improvement.
4. Report and communicate: Report and communicate your ESG impact transparently and consistently, utilizing standardized reporting formats and platforms. Several ESG reporting frameworks and standards exist, such as TCFD, GRI, SASB, CDP, and PRI, which can guide companies and investors in disclosing and evaluating ESG performance.

## Conclusion

ESG investing provides a way for investors to align their values with their financial goals while considering environmental, social, and governance factors. Despite challenges such as measurement and comparison difficulties, data availability, and greenwashing concerns, ESG investing offers numerous benefits, including resilience, risk mitigation, and positive impact. By following the steps outlined inthis guide, investors can get started with ESG investing and contribute to a more sustainable and responsible financial future. It's important to stay informed and adapt to the evolving landscape of ESG investing, seeking professional advice when needed and continuously evaluating the impact of your investments.

Discover the rise of ESG investing and how it aligns values with financial goals. Explore the benefits, challenges, and steps to get started with ESG investing. Learn how to measure the impact of your investments and make a positive difference in the world.

The Rise of ESG Investing: Aligning Values and Financial Goals

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