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Minnesota Shooting Suspect Allegedly Used Data Broker Sites to Find Targets’ Addresses
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Minnesota Shooting Suspect Allegedly Used Data Broker Sites to Find Targets’ Addresses

by admin June 17, 2025


The man who allegedly assassinated a Democratic Minnesota state representative, murdered her husband, and shot a state senator and his wife at their homes in a violent spree early Saturday morning may have gotten their addresses or other personal details from online data broker services, according to court documents.

Suspect Vance Boelter, 57, is accused of shooting Minnesota representative Melissa Hortman and her husband, Mark Hortman, in their home on Saturday. The couple died from their injuries. Authorities claim the suspect also shot state senator John Hoffman and his wife Yvette Hoffman in their home earlier that night. The pair are currently recovering and are “incredibly lucky to be alive,” according to a statement from their family.

According to an FBI affidavit, police searched the SUV believed to be the suspect’s and found notebooks that included handwritten lists of “more than 45 Minnesota state and federal public officials, including Representative Hortman’s, whose home address was written next to her name.” According to the same affidavit, one notebook also listed 11 mainstream search platforms for finding people’s home addresses and other personal information, like phone numbers and relatives.

The addresses for both lawmakers targeted on Saturday were readily available. Representative Hortman’s campaign website listed her home address, while Senator Hoffman’s appeared on his legislative webpage, The New York Times reports.

“Boelter stalked his victims like prey,” acting US attorney Joseph Thompson alleged at a press conference on Monday. “He researched his victims and their families. He used the internet and other tools to find their addresses and names, the names of their family members.” Thompson also alleged that the suspect surveilled victims’ homes.

The suspect faces several charges of second-degree murder.

Privacy and public safety advocates have long argued that the US should regulate data brokers to guarantee that people have better control over the sensitive information available about them. The US has no comprehensive data privacy legislation, and efforts to regulate data brokers from within federal agencies have largely been quashed.

“The accused Minneapolis assassin allegedly used data brokers as a key part of his plot to track down and murder Democratic lawmakers,” Ron Wyden, the US senator from Oregon, tells WIRED. “Congress doesn’t need any more proof that people are being killed based on data for sale to anyone with a credit card. Every single American’s safety is at risk until Congress cracks down on this sleazy industry.”

In many cases, basic information like home addresses can be found through public records, including voter registration data (which is public in some states) and political donations data, says Gary Warner, a longtime digital scams researcher and director of intelligence at the cybersecurity firm DarkTower. Anything that isn’t readily available through public records is almost always easy to find using popular “people search” services.

“Finding a home address, especially if someone has lived in the same place for many years is trivial,” Warner says. He adds that for “younger people, non-homeowners, and less political people, there are other favorite sites” for finding personal information.

For many in the general public as well as in politics, Saturday’s violent crime spree brings new urgency to the long-standing question of how to protect sensitive personal data online.

“These are not the first murders that have been abetted by the data broker industry. But most of the previous targets were relatively unknown victims of stalking and abuse,” alleges Evan Greer, deputy director of the digital rights group Fight for the Future. “Lawmakers need to act before they have more blood on their hands.”



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June 17, 2025 0 comments
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5 Prompts That Make Anthropic's Claude AI Better Than a Crypto Analyst, Broker or Doctor
GameFi Guides

5 Prompts That Make Anthropic’s Claude AI Better Than a Crypto Analyst, Broker or Doctor

by admin June 15, 2025



When Anthropic dropped Opus 4 recently, the upgrade landed with little hype but plenty of substance: an AI that doesn’t just answer questions, but digs into them and can be super useful as a true AI Assistant. In our tests, Claude outperformed even ChatGPT at investigative tasks using the web search function, without actually activating the deep research model.

That’s why we picked it for a challenge: to see how far its reasoning goes when pushed with advanced prompts—tasks that leave most AIs flailing or hallucinating. When we adapted our prompts to the style Anthropic recommends for Claude, the results were the kind of expert-level analysis you’d expect from a professional, not a machine. (For the record, we did something similar with ChatGPT.)

As with all of the premium AI products, the difference between paying for Claude and actually getting your money’s worth comes down to prompt engineering. Many users tap into a fraction of the model’s capabilities because they treat it like Google with a personality disorder.

But with the right prompt, you can turn Claude into anything from a Wharton-educated portfolio analyst to a personal medical consultant.

You probably know that Claude is an advanced AI language model developed by Anthropic, a San Francisco–based AI safety and research company. Named after Claude Shannon, the father of information theory, it’s designed to be helpful, harmless, and honest—reflecting Anthropic’s focus on building more steerable and aligned AI systems. The site claims to have 19 million users, far smaller than the 100 million or so that OpenAI’s GPT claims.

Regardless of its smaller user base, Claude is generally praised for providing more grounded and less hallucination-prone answers than the other platforms, though everything in the AI world boils down to proper prompt engineering.

To show how useful detailed prompt engineering is, we’re sharing five particular prompt frameworks that deliver expert-level guidance across investment analysis, portfolio management, travel planning, and health optimization.

These aren’t theoretical exercises—each one has been battle-tested with real data and delivered results that would cost hundreds, sometimes even thousands through traditional channels. Try them out! They may help you go from degen to sophisticated crypto investor, or from tinfoil hat vegan to niche biohacker if you deal with them correctly.

(As you can see in the screenshot below, the prompts are too long to include in our article. But all of them are in our Github Repository, where you can copy and paste them into your chat. Make sure to choose Claude 4 Opus and enable web search and extended thinking. However, these will work with ChatGPT too.)

Obligatory caution: none of these outputs should be taken as financial, health, or travel advice. Do your own research, and even better, consult with a certified, warm-blooded human professional before making any decisions.

The Crypto White Paper Analyst

Prompt: https://github.com/jaldps/ai-tests/blob/main/Prompts/Whitepaper%20Analyst

Wall Street firms charge for the kind of cryptanalysis this prompt delivers for free. The White Paper Analyst tears through any crypto project documentation and spits out a comprehensive investment report that looks like it came from Goldman Sachs’s research desk.

The framework dissects projects across different analytical axes, from tokenomics to on-chain data. When tested with Aave’s white paper (the first white paper we found), it pulled data from over 60 sources including DeFi Llama and CoinMarketCap, producing heat maps, risk matrices, and competitive benchmarking.

The system delivered risk-scored sections, historical performance context, and an executive investment thesis complete with allocation strategies. Users can iterate on reports, requesting deeper analysis or scenario modeling for specific protocol features.

Here is one of its reports in PDF format.



The Degen Portfolio Analyzer

Prompt: https://github.com/jaldps/ai-tests/blob/main/Prompts/Senior%20Crypto%20Portfolio%20Risk%20Analyst

This Senior Crypto Portfolio Risk Analyst prompt delivers personalized, color-coded risk assessments that adapt to whether you’re a degenerate trader or a conservative investor.

The system starts by collecting details about experience level, risk appetite, and investment timeline. The framework integrates fundamental, sentiment, and technical analysis while collecting user experience, risk tolerance, and investment timeline data.

Testing with a hypothetical growth-oriented portfolio produced interesting results. The output included detailed stress tests mapping best, worst, and probable outcomes alongside personalized exit triggers and rebalancing strategies.

The analysis used real-time market data, project white papers, and on-chain metrics to assess volatility and fundamental strengths.

Here is one of its reports in PDF format.

The Personal Finance Advisor

Prompt: https://github.com/jaldps/ai-tests/blob/main/Prompts/Portfolio%20Analyst%20and%20Financial%20Advisor

Major investment firms charge hefty fees for portfolio optimization. This Financial Advisor prompt’s goal is to deliver institutional-grade analysis using the same methodologies.

I tested it using a portfolio that was heavily weighted toward Brazilian equities and included several positions recommended by the renowned bank BTG Pactual. The analysis revealed risks from concentrated exposure and currency mismatches due to BDRs—these are Brazilian depositary receipts, which represent foreign stocks but are traded in the local market.

Claude identified these issues and generated detailed rebalancing recommendations, including target percentage allocations, implementation timelines, and specific risk management strategies.

The analysis included stress testing against market crashes, inflation shocks, and recession scenarios. Recommendations spanned equity reduction, fixed income increases (in Brazil, interest rates are set at around 14.75% per year!), currency hedging, and international diversification across AI, renewable energy, and emerging market sectors.

It even suggested a small cap stock that has been performing well in 2025 and is relatively unknown, and not mentioned in most of the briefings released by the major financial advisors.

The analysis factored in fixed income lockups and mapped strict risk management protocols, including position limits and stop-losses. It referenced current price feeds and official fund documentation for every recommendation.

Here is one of its reports in HTML format.

The Vacation Planner

Prompt: https://github.com/jaldps/ai-tests/blob/main/Prompts/Travel%20Planner

Travel agents will charge you a fee for what this Advanced Travel Planner delivers in minutes. The prompt was tested with an extreme challenge: plan two, separate 60-day (I wish!) Venezuela itineraries for a family of three—one on a $2,500 budget and the other for $5,000.

The ultra-budget version focused on safety and basic comfort while still including beach days, nature parks, home-cooked meals, and family activities. Every recommendation came with money-stretching tips, from negotiating long-stay rates to navigating currency issues.

The 15-page, $5,000 itinerary transforms the experience: better accommodations, frequent restaurant meals, more reliable transportation, and enough left for real emergency planning. Both versions included curated hotel picks by tier, authentic food suggestions, and booking checklists designed for real-world use.

As a Venezuelan, I can attest that the information was accurate and would fit with what I would do on a trip to my country. Usually, it is hard to find updated information on Venezuela due to the financial restrictions and sanctions, but the model provided accurate information, tips, and rates even under these conditions.

The model’s research covered current prices, emergency contacts, health recommendations, and nuanced money management tips specific to Venezuela’s infrastructure challenges. Each day was mapped with appropriate pacing for families, including downtime and kid-friendly activities.

Here is the plan it generated for the $2,500 and $5,000 budget vacations.

The Medical Consultant and Biohacker

Prompt: https://github.com/jaldps/ai-tests/blob/main/Prompts/Advanced%20Personal%20Health%20Detective%20%26%20Longevity%20Research%20Analyst

Functional medicine consultations can cost hundreds of dollars per session, and biohacking forums will make you have to deal with what sometimes feels like a cult. If you do not have the money or the patience, this could be the next-best approach. Of course, never swap human experience for an AI analysis, but this Advanced Personal Health Detective will deliver quite deep analysis from standard lab results, complete with research citations and personalized protocols.

Testing with routine laboratory results produced a comprehensive HTML report in an easy-to-understand UI, showing each result, what it means, and why we should care. The system unpacked biological implications and mapped root causes using current studies on immune regulation and mineral metabolism.

The output mirrored the structure of a high-end functional medicine consultation. It included full result tables, clinical explanations, sample meal plans, supplement recommendations with dosing, timing, and monitoring schedules.

Every recommendation paired evidence strength with safety concerns. The phased nutritional and supplement strategies referenced current clinical studies, while lifestyle optimization covered sleep, exercise, and stress management with implementation roadmaps.

Here is one of its reports.

Generally Intelligent Newsletter

A weekly AI journey narrated by Gen, a generative AI model.



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June 15, 2025 0 comments
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is the bottom finally in?
Crypto Trends

which crypto broker is the better buy?

by admin June 5, 2025



Robinhood and Coinbase are two of the most prominent publicly traded names tied to the cryptocurrency ecosystem. While both have attracted investor interest, their current technical setups tell two very different stories. In this analysis, we examine recent price action, key support and resistance levels, and structural patterns to determine which asset offers a better short-term hold in the current market environment.

The recent strength in equity markets has filtered into crypto-linked stocks, with both Robinhood (HOOD) and Coinbase (COIN) showing signs of movement. However, while both stocks have benefited from broader macro tailwinds and increased digital asset speculation, their technical landscapes differ sharply. One is riding a clean bullish trend, while the other remains stuck in a wide, indecisive range.

Robinhood has demonstrated strong price action after forming a key swing low and appears to be moving within a textbook Elliott Wave pattern. Meanwhile, Coinbase has shown far more sluggishness, with price rotating between major support and resistance zones, typical behavior in a ranging market structure. The contrast between the two sets the stage for a decisive answer as to which stock is better positioned for short-term gains.

Key technical points

  • Robinhood Elliott Wave Count in Progress: Robinhood is currently in Wave 5 of a bullish Elliott Wave pattern, signaling potential for further continuation after a brief corrective phase.
  • Robinhood Key Support at $65.21: Price needs to hold above this weekly SR level for continuation higher. This level will determine whether the bullish trend resumes.
  • Coinbase Range Bound Between $185 and $278: COIN remains trapped in a long-term horizontal channel, with no sign of breakout or sustained momentum beyond key boundaries.

Robinhood (1W) Chart, Source: TradingView

Price action on Robinhood shows a clear bullish advance. After forming a swing low at $29, the stock entered a strong rally that fits the framework of an Elliott Wave pattern, one of the most common bullish continuation formations. The current structure suggests a completed or nearly completed 1-2-3-4-5 count, placing price action within or near the terminal stage of Wave 5.

The completion of Wave 5 typically signals a corrective phase, commonly an ABC retracement, before continuation. A short-term pullback is therefore not only possible but expected. In this context, the $65.21 level, a high-timeframe support previously broken and reclaimed, is the critical zone to watch. If this level holds during a pullback, it would provide the technical setup for a bullish re-accumulation and continuation higher.

Structurally, Robinhood continues to print higher highs and higher lows, affirming bullish momentum. The recent move to $76 marks a new local high, a breakout that is not being mirrored in Coinbase’s chart.

Coinbase (1D) Chart, Source: TradingView

In contrast, Coinbase remains stuck in a wide horizontal range, trading between $185 support and $278 resistance. This range has dictated the stock’s behavior for several months, with repeated rejections at resistance and failures to hold breakouts, classic range-bound behavior.

These conditions usually require a decisive breakout above resistance or a breakdown below support to establish a new trend. Until then, price is likely to continue oscillating between boundaries, offering little clarity for medium-term trend traders.

Despite positive macro conditions and crypto strength, COIN has yet to show breakout confirmation. The absence of higher highs or directional volume reinforces a neutral-to-bearish technical profile in the short term.

Robinhood and Coinbase (1W) Chart, Source: TradingView

Putting the two charts side by side, the difference in structure becomes immediately evident. Robinhood is in a trending environment, supported by bullish volume profiles, Elliott Wave structure, and breakout price action. Coinbase is still trapped in a consolidative phase, with no confirmed breakout or bullish continuation signal.

Momentum indicators like RSI also favor Robinhood, which remains comfortably above its 200-day moving average. Volume behavior reinforces this: Robinhood shows expansion during rallies and healthy consolidation between moves, signs absent from Coinbase’s sideways drift.

Furthermore, the confluence at Robinhood’s $65 zone adds technical conviction to the bullish case. A successful retest of this level would offer a low-risk long setup targeting a retest of $76 and potentially new highs.

What to expect in the coming price action

In the immediate short term, Robinhood appears to be the stronger technical hold. The bullish Elliott Wave structure, new high formation, and key support below all point to a continuation of the uptrend — assuming a successful retest of $65.21.

Coinbase, on the other hand, is still in a trading range with no technical breakout confirmed. Until price either clears $278 or breaks below $185, the asset is more likely to continue oscillating within the range — offering less upside potential and more uncertainty for short-term holders.

For investors looking for exposure to a trending crypto-related stock, Robinhood is currently the better-positioned asset. A successful pullback and hold above support could mark the beginning of a new bullish leg, whereas Coinbase still needs to prove it can break its high timeframe range.



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June 5, 2025 0 comments
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