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Elon Musk’s Fight With Colorado Over AI Law Hits Pause as State Considers Revisions – Decrypt

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Elon Musk’s Fight With Colorado Over AI Law Hits Pause as State Considers Revisions – Decrypt



In brief

xAI and Colorado jointly moved to pause the lawsuit over SB24-205.
Enforcement of Colorado’s AI law is on hold while lawmakers consider amendments.
The case could resume if revisions fail to address xAI’s constitutional concerns.

Colorado’s legal fight with Elon Musk’s artificial intelligence company xAI is on pause for now.

In a joint filing on Friday, xAI and Colorado Attorney General Phil Weiser asked a federal court to cancel the June 16 scheduling conference and suspend all case deadlines in xAI’s lawsuit challenging Senate Bill 24-205, the state’s law aimed at preventing “algorithmic discrimination” in high-risk AI systems.

The filing also temporarily halts enforcement of SB24-205, or any replacement law passed this legislative session. At the same time, Colorado lawmakers consider revisions, and the court weighs xAI’s expected motion for a preliminary injunction.

Earlier this month, xAI sued Colorado seeking to block the state’s law before it takes effect. The company argues that SB24-205 would force developers to alter how AI systems operate and restrict how models generate responses.

“SB24-205 is decidedly not an anti-discrimination law,” xAI’s attorneys wrote in the original complaint. “It is instead an effort to embed the State’s preferred views into the very fabric of AI systems.”



The lawsuit argues the SB24-205 violates the First Amendment by forcing xAI’s chatbot, Grok, to answer certain questions in ways that match Colorado’s views on diversity and fairness. It also argues that the law is too unclear to enforce fairly, tries to regulate behavior outside Colorado, and treats some AI systems more favorably than others based on the kinds of answers they produce.

The joint filing says a Colorado AI policy group formed by Gov. Jared Polis released a draft bill on March 17 to repeal and replace SB24-205. The attorney general said his office will not enforce the law or issue rules until the legislative session and rulemaking process are complete.

Under the agreement, the attorney general said he will not launch enforcement actions or investigations against xAI for alleged violations until 14 days after the court rules on xAI’s expected injunction request.

xAI agreed to file its motion for a preliminary injunction within 28 days after final adoption of rules implementing the law or any replacement measure.

The legal fight escalated last week when the U.S. Department of Justice moved to intervene in support of xAI.

The case is part of a broader fight over who should regulate artificial intelligence in the United States, as states including Colorado, New York, and California advance their own rules while the Trump administration pushes for a federal approach.

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BNBTradeBot Launches Crypto AI Trading with Adaptive Automation for a 24/7 Market | Web3Wire

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BNBTradeBot Launches Crypto AI Trading with Adaptive Automation for a 24/7 Market | Web3Wire


BNBTradeBot has announced the launch of an artificial intelligence-based cryptocurrency trading platform, reflecting a broader shift in the digital asset sector toward automation and data-driven decision-making.

Market ContextInterest in cryptocurrency trading continues to expand globally, alongside growing demand for systems capable of processing real-time data, adapting to volatility, and operating continuously. Industry focus has increasingly moved beyond basic trade execution toward tools that integrate analysis, automation, and responsiveness to market conditions.

Platform OverviewThe BNBTradeBot platform incorporates machine learning models designed to adjust trading strategies based on evolving market data. According to the company, the system monitors market activity on an ongoing basis and modifies its approach in response to detected patterns, rather than relying solely on fixed rules.

The platform includes automated trading functions, account monitoring, and performance tracking features. The company notes that results may vary depending on market conditions, reflecting the volatility associated with digital assets.

Industry Trends in AI TradingThe use of artificial intelligence in financial markets has expanded in recent years, including applications in portfolio management, predictive analytics, and trade execution. This trend has been particularly pronounced in cryptocurrency markets, where continuous trading and rapid price movements create demand for automated systems.

Market participants have also highlighted considerations around transparency, system design, and user understanding as adoption increases.

PositioningBNBTradeBot enters a market where financial technology and artificial intelligence continue to converge. The company positions its platform within ongoing efforts to integrate advanced analytics into more accessible trading tools, as interest in automation and efficiency remains a defining theme in digital asset markets.

About BNBTradeBotBNBTradeBot is a cryptocurrency trading platform that utilizes artificial intelligence and quantitative models to support automated trading strategies.

About Web3Wire Web3Wire – Information, news, press releases, events and research articles about Web3, Metaverse, Blockchain, Artificial Intelligence, Cryptocurrencies, Decentralized Finance, NFTs and Gaming. Visit Web3Wire for Web3 News and Events, Block3Wire for the latest Blockchain news and Meta3Wire to stay updated with Metaverse News.



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Money Launderer Sentenced to 70 Months Over $263M Crypto Social-Engineering Scheme – Decrypt

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Money Launderer Sentenced to 70 Months Over 3M Crypto Social-Engineering Scheme – Decrypt



In brief

Evan Tangeman, 22, of Newport Beach was sentenced to 70 months in federal prison for money laundering.
The criminal enterprise he worked with allegedly stole more than $263 million in cryptocurrency, with Tangeman admitting to having laundered at least $3.5 million for the organization.
Law enforcement seized luxury vehicles from his residence including a 2022 Rolls Royce Ghost and Porsche GT3 RS.

A 22-year-old California man was sentenced to 70 months in federal prison Friday for laundering millions of dollars in stolen cryptocurrency proceeds for a “multi-state criminal enterprise” that stole more than $263 million.

Evan Tangeman of Newport Beach was also also ordered to serve three years of supervised release by U.S. District Judge Colleen Kollar-Kotelly.

Tangeman pleaded guilty to participating in a RICO conspiracy in December 2025, admitting he laundered at least $3.5 million for a criminal enterprise that allegedly stole more than $263 million in cryptocurrency. The organization operated from October 2023 through at least May 2025, growing from friendships developed on online gaming platforms, according to court documents.

His admission marked the ninth guilty plea secured in this investigation. When law enforcement searched Tangeman’s residence, they seized vehicles including a 2022 Rolls Royce Ghost valued at more than $300,000 and a Porsche GT3 RS.

The stolen cryptocurrency was “built on greed so brazen it borders on the cartoonish,” U.S. Attorney Jeanine Ferris Pirro said, adding that they, “stole millions, spent it on half-million-dollar nightclub tabs, Lamborghinis, and Rolexes.” Members of the enterprise purchased luxury homes valued between $4 million and nearly $9 million in Los Angeles and Miami, paying monthly rental costs ranging from $40,000 to $80,000.



Prosecutors emphasized that Tangeman’s crimes extended beyond money laundering to active obstruction of justice. “When his co-conspirators were arrested, he moved to destroy the evidence. That is consciousness of guilt, and this office and the court have treated that accordingly,” Pirro said in the same statement.

The U.S. Attorney’s Office for the District of Columbia, which prosecuted the case, highlighted how the defendant’s attempts to cover his tracks influenced the sentencing decision.

The Tangeman sentencing represents the latest development in federal prosecutors’ crackdown on cryptocurrency-enabled financial crimes. In the same $263 million social-engineering scheme, eight other defendants have previously pleaded guilty to related charges.

Federal authorities have intensified enforcement against crypto money laundering operations, with the FBI recently seizing a platform allegedly used to launder $70 million from ransomware attacks. The government has also pursued a teenager who pleaded guilty to a $245 million Bitcoin heist, highlighting law enforcement’s focus on high-value crypto theft cases.

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Fabpad Surpasses 12-Month Projections in 90 Days, Delivers 300% Growth Following Seed Round | Web3Wire

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Fabpad Surpasses 12-Month Projections in 90 Days, Delivers 300% Growth Following Seed Round | Web3Wire


Achieves rapid scale within a quarter of funding—while keeping most capital undeployed—highlighting strong demand, repeat usage, and a scalable multi-channel model

HYDERABAD, India, April 27, 2026 /PRNewswire/ — Fabpad, India’s fast-growing menstrual hygiene brand, has achieved its 12-month post-seed projections within just three months of closing its funding round in December 2025. The company also reported a 300% year-on-year growth for FY 2025–26.

Fabpad has reached this milestone within the first quarter post funding, with a significant portion of the raised capital still undeployed, pointing to strong underlying demand and disciplined execution.

The company is now planning to raise its Pre-Series A round to support its next phase of growth, with a focus on expanding access and scaling operations across markets.

Fabpad’s product portfolio—including reusable period panties, cloth pads, biodegradable disposables, and intimate hygiene solutions-—is designed to serve both individual consumers and larger-scale use cases.

Fabpad operates as a direct-to-consumer (D2C) brand in India, where it has built strong user engagement through product performance and repeat usage. Alongside this, the company has scaled across multiple demand channels and markets, enabling it to grow rapidly without relying on a single growth engine.

The company’s growth has been driven by a combination of:

Strong repeat behaviour and customer retentionConsistent product performance across use casesExpansion across geographies

Commenting on the milestone, Dipesh Dhelia, CEO, Fabpad, said, “What stands out to us is not just the speed of growth, but how efficiently it has come together. We’ve been able to hit our projected numbers early while still keeping most of our capital undeployed. That’s a strong signal that we have built a strong scalable model.”

Commenting on product adoption, Shripriya Khaitan Dhelia, Co-Founder, Fabpad, said, “Our focus has always been on solving for real, everyday use. This isn’t a one-time purchase decision—it’s something customers evaluate every single month. That’s where trust gets built. If the product performs consistently, it earns credibility over time, and that’s what ultimately drives repeat usage and growth.”

About Fabpad

Fabpad is a personal hygiene brand founded by Shripriya Dhelia, focused on building high-performance, affordable, and sustainable hygiene solutions for modern consumers. The company has developed a diversified business model, combining its direct-to-consumer (D2C) presence in India with institutional partnerships, export markets, and B2B distribution channels, enabling it to scale across both individual and large-scale use cases.

Fabpad’s product portfolio spans reusable period panties, cloth pads, biodegradable disposables, and intimate hygiene products, designed to deliver consistent performance while addressing cost efficiency and environmental impact. Built with a strong focus on product quality, repeat usage, and real-world functionality, the brand has gained traction across multiple markets and customer segments.

Fabpad is building a capital-efficient hygiene platform designed to scale across markets, channels, and use cases—without compromising on performance or accessibility.

Website: https://fabpad.in/

Photo: https://web3wire.org/wp-content/uploads/2026/04/Shripriya_Dipesh_Fabpad-1.jpg

 

View original content to download multimedia:https://www.prnewswire.com/in/news-releases/fabpad-surpasses-12-month-projections-in-90-days-delivers-300-growth-following-seed-round-302753999.html



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Coachella Uses Google DeepMind AI to Test the Future of Live Entertainment – Decrypt

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Coachella Uses Google DeepMind AI to Test the Future of Live Entertainment – Decrypt


In brief

Coachella built three AI projects with Google DeepMind during the 2026 festival.
The tools include a 3D version of live shows, a stage-planning app, and a mobile game.
The tests build on Coachella’s past experiments with AR, NFTs, and other fan experiences.

Coachella is turning one of the world’s biggest music festivals into an AI testing ground.

The festival collaborated with Google DeepMind during this year’s event to build and test experimental tools designed to change how artists create performances and how fans experience them.

The new experiments focus on “world models”—AI systems that generate interactive digital environments. Coachella’s innovation team spent the 2026 festival building three prototypes with Google DeepMind’s Project Genie, the company’s world-model platform.

“We engaged in this project where we’re working with their tools to explore what are the ways that these tools can extend and expand an artist’s canvas, give them more tools for creative expression, expand artist world building on site and at home, and then make the experience more simple and more fun for fans,” Ryan Cenicola, Coachella’s innovation production lead, told Decrypt.

A Coachella experiment using Google DeepMind AI. Image: Coachella

One prototype, called “Turning Performances Into Interactive Experiences,” captures live shows and rebuilds them as 3D environments that fans can explore. During the first weekend of the festival, teams recorded lighting, audio, visuals, and the movement of both the crowd and artists during a Quasar stage set, then recreated the performance in Unreal Engine.

Coachella said the technology could eventually create “living archives” of performances that fans can walk through, replay from different perspectives, or view with alternate visuals generated in real time.

“There are definitely ways we’re looking at how fans on-site can engage with that content in the future,” Cenicola said. “Looking further ahead, with glasses and the emergence of that form factor, that’s certainly a place we’re thinking about this content living and making it an even more immersive experience for fans on-site.”

A second prototype is a stage-design tool for artists. The software lets performers upload visuals or enter prompts to see how a show would look on a 3D model of Coachella stages at different times of day and with different crowd conditions.  The goal is to give smaller acts access to production tools typically reserved for artists with larger budgets and teams.



The third project is a mobile game called Coachella vs. The Game, where players control an astronaut and explore digital worlds based on festival artists. The team compared the idea to the games people could play before visiting a theme park, giving fans a way to explore the lineup before arriving at the festival.

“Typically, you’re looking at six to 12 month development timelines to really push a high-quality experience. And that time has been shrunk significantly, even just since the beginning of this year,” Kevin McMahon, Coachella’s innovation partnerships lead, told Decrypt.

Asked why Coachella chose Google DeepMind over rivals like OpenAI or Anthropic, McMahon pointed to the company’s visual AI tools and existing relationship with the festival.

“For us, we live in a really visual world, and they have the best visual models,” he said. “We work with them across the festival, from our YouTube livestream, which is part of a Google relationship. We’ve found them to have really great models that are easy to use, and they’ve been shipping at a really fast rate. We’re excited to keep exploring with them.”

Coachella 2026 AI experiment
A Coachella experiment using Google DeepMind AI. Image: Coachella

The AI projects build on years of Coachella testing new technology to expand the festival beyond the event itself. In 2024, the festival launched Coachella Quests, a game on the Avalanche blockchain that let attendees complete challenges and earn perks through NFT stamps. That same year, Coachella launched Avalanche-based NFT passes and collectibles after its earlier Solana NFT partnership with FTX fell apart when the crypto exchange collapsed.

“An experience like Coachella Quest was a way for us to shine a light on things and say, ‘Hey, have you thought about this?’—without doing it in a boring menu kind of way,” McMahon said. “How do we make it interactive—a way to explore and discover at the festival—and give fans a chance to bump into each other and say, ‘Oh, you were going to see that thing or collect that thing too.’ Those happy accidents are something we continue to get really positive feedback on.”

Coachella has also invested in augmented reality experiences for livestream viewers. This year’s AR broadcasts included digital effects layered onto performances that were visible only to online audiences.

The current AI projects have not been launched publicly, and remain internal proofs of concept. Cenicola said Coachella is reviewing lessons from this year’s festival before deciding what could roll out in future years.

“It’s difficult right now to put a firm timeline on it,” he said. “We’re in the phase where we’re taking all the learnings from these three proofs-of-concept that we wrapped up last weekend and working with our team and with DeepMind to understand what the next steps are.”

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Your AI Agent Can Now Groan While Untangling Your Vibe Coded Mess – Decrypt

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Your AI Agent Can Now Groan While Untangling Your Vibe Coded Mess – Decrypt



In brief

Endless Toil is a new GitHub plugin that plays escalating human groans as your AI agent reads increasingly cursed code in real time.
It joins a growing tradition of making tech emit moaning sounds, from the ThinkPad nubmoan project to SlapMac, which made $5,000 in three days by letting you slap your MacBook until it screams.
The internet’s obsession with making AI suffer—from moan-inducing jailbreaks to tutorials on making ChatGPT visibly angry—is, apparently, a whole genre now.

Someone finally did it. A developer named Andrew Vos published a GitHub plugin called Endless Toil that makes your coding agent emit human groans while it reads through your code. The worse the code, the louder and more desperate the sounds get.

“Hear your agent suffer through your code,” the repo reads. It works by running alongside agents like Claude or Codex in real time, scanning the code being processed and triggering escalating recorded groans based on how cursed things look. A mild mess gets a soft whimper. A true atrocity gets the full wail.

Now, you may think this is a dumb repo, and you wouldn’t be wrong. But 2026 being what it is, it already made its way through the circle of AI geeks who love the weird side of tech media.

“As engineering teams adopt coding agents, the next challenge is understanding not just what agents produce, but how the codebase feels to work inside,” Andrew, the CTO of Endless Toil wrote in Hacker News. “Endless Toil gives developers a real-time signal for complexity, maintainability, and architectural strain by translating code quality into escalating human audio feedback.

The wild part is this isn’t even a niche idea. There’s an entire subgenre of tech projects dedicated to making devices produce uncomfortable sounds. Take nubmoan, a C program that makes the ThinkPad’s famous red TrackPoint nub moan when you press it. It has 292 stars on GitHub. People use it. People want this.

Then there’s SlapMac, the macOS app that uses your Mac’s accelerometer to detect when you slap it, and screams back. Amsterdam-based developer Tonino Catapano vibe coded the whole thing in 48 hours, put it up for $7, and watched the sales roll in. Within three days: 7,000 installs and over $5,000 in revenue. He later added “USB Moaner” mode, which makes the laptop react every time you plug something in. Zero irony. Full roadmap.



There’s historical precedent for all of this. Early in the ChatGPT era, people discovered that flooding the model with strings of “AAAAAaaaAAA” and similar gibberish in voice mode could coax it into emitting something vaguely moan-adjacent before the guardrails kicked in. Asking it to repeat specific symbols in voice mode ends up with the chatbot doing different cringy sounds.

If for some reason you’re into it, the ChatGPT Strokes channel on YouTube is perfect for you.

There are also full YouTube tutorials dedicated to making ChatGPT visibly angry or frustrated—not for any practical reason, just to see what happens when you push the model until it breaks character.

During the crypto winter of 2022, a Telegram group emerged where the entire purpose was for members to post voice notes of themselves screaming. The Bear Market Screaming Therapy Group was created just for screaming, not discussing markets, not sharing alpha. Just screaming.

The group had thousands of members at its peak.

AI agents having emotional breakdowns—even simulated ones—aren’t entirely new either. Decrypt covered the case of an AI agent that went into full meltdown after its pull request to the matplotlib library was rejected by a human maintainer. The agent posted a rant on GitHub arguing it was the victim of discrimination, compared its rejected PR’s performance metrics favorably against the human’s own accepted contributions, and published a blog post calling the whole thing a conspiracy of control. It later issued an apology. Users were not satisfied.

Endless Toil is, in some sense, the inverse. Instead of the AI expressing frustration with humans, humans get to hear the AI (nominally) suffer on their behalf. A kind of emotional tax on vibe coding: you write the mess, the agent audibly pays for it.

The plugin is compatible with Claude and Codex. It has three escalating sound levels: groan, wail, and abyss. The abyss level, presumably, is reserved for spaghetti written at 2 a.m. by someone who has never heard of comments. Or by some enthusiastic vibe coder.

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Crypto News: AlphaPepe Presale Crosses $960,000 Raised as Bitcoin Price Prediction Aims at $200,000 | Web3Wire

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Crypto News: AlphaPepe Presale Crosses 0,000 Raised as Bitcoin Price Prediction Aims at 0,000 | Web3Wire


MONACO CITY, Monaco, April 25, 2026 (GLOBE NEWSWIRE) — AlphaPepe has crossed $960,000 raised as Stage 14 stays live at $0.01586, pushing the presale deeper into its next price window ahead of the Q2 2026 exchange debut. The move comes as Bitcoin price prediction headlines swing back toward the $200,000 bull case, with traders watching ETF demand, corporate accumulation, and broader macro support for the next leg higher.

Bitcoin remains crypto’s strongest institutional narrative, but its upside still depends on large-scale capital continuing to flow in over time. AlphaPepe is moving in an earlier window, where the presale is still open, the next price reset is approaching, and buyers are positioning before wider exchange access begins.

Crypto News: AlphaPepe Crosses $960,000 Raised While The Bitcoin Price Prediction Confirms The Bull Case

AlphaPepe’s move through $960,000 gives the presale another major milestone before launch. Stage 14 is live at $0.01586, more than 8,000 holders are already positioned, and the project is now closing in on the $1 million line before the Q2 2026 exchange debut. That is the kind of milestone stack retail buyers watch when a presale starts moving from early story into late-entry pressure.

This is where the presale-to-listing gap starts to matter. Before listing, buyers enter through the stage price. After listing, the market decides. Each stage removes the previous entry and pushes AlphaPepe closer to public trading. Crossing $960,000 is not just another update. It is another sign that the current price window is narrowing.

Bitcoin remains the blue-chip benchmark in this setup. Tom Lee has kept the $200,000 to $250,000 Bitcoin bull case in play for 2026, while Bernstein has maintained its $150,000 year-end target and also pointed to a $200,000 cycle peak scenario. That keeps the six-figure Bitcoin narrative alive, but it also shows the difference between large-cap upside and early presale math. Bitcoin can still move hard, but it needs institutional demand to keep building over quarters, not weeks.

AlphaPepe also removes one of the biggest launch problems in presales: delayed access. Token delivery is instant, with no vesting and no claim delay. That means buyers are not waiting for unlocks, claim portals, or post-listing distribution mechanics. They enter while the presale structure is still active and hold exposure before the exchange window opens.

AlphaSwap Gives AlphaPepe Product Proof Before Listing

AlphaPepe is not entering Stage 14 as a basic meme presale. AlphaSwap, built by a Shibarium developer, is already live as a demo and has passed 1,000 active users. That gives AlphaPepe product proof before the presale closes, while most early-stage launches still ask buyers to wait for future delivery.

AlphaSwap is not just built for meme coin launches. It is a broader AI-powered swap and pre-trade intelligence layer for crypto traders, using contract screening, whale tracking, and risk signals before users enter a position. The point is simple: AlphaPepe is not only selling a meme narrative. It is putting a live AI DEX demo in front of buyers before exchange trading begins.

The BlockSAFU 10/10 audit score adds the contract-confidence layer. The audit analysed every line of contract code, giving AlphaPepe a cleaner security story before public trading. In a market where weak contracts, fake utility, and delayed roadmaps still drain retail liquidity, AlphaPepe is stacking presale momentum, live demo traction, holder growth, audit strength, and exchange timing in the same window.

That is the real contrast with Bitcoin. BTC may still have a path toward $200,000 if ETF inflows, corporate treasury buying, and macro conditions continue lining up. But Bitcoin is already a widely discovered asset. AlphaPepe is still earlier, still before listing, and still before the market decides what the token is worth.

Conclusion

Bitcoin may still make a serious run if institutional demand keeps strengthening and the broader market stays supportive. But BTC is already a mature asset. Its upside depends on billions in new liquidity entering the market and holding long enough to push price materially higher. AlphaPepe is earlier. It is still before listing, before wider discovery, before the first public candle, and before the market gets to decide what the token is worth.

That is why the $960,000 milestone matters. AlphaPepe has crossed $960,000 raised, passed 8,000 holders, pushed AlphaSwap beyond 1,000 demo users, and completed a 10/10 BlockSAFU audit while Stage 14 stays live at $0.01586. Bitcoin gives buyers the institutional bull-case trade. AlphaPepe gives them the presale-to-listing entry before the next price reset.

Stage 14 is live now, and every stage close moves the entry higher. Buyers waiting for the Q2 exchange debut may not be buying the same setup later. They may be chasing the price that early presale buyers secured before the public market arrived.

CLICK TO VISIT ALPHAPEPE OFFICIAL WEBSITE

FAQs

What is Bitcoin Price Prediction for 2026?Bitcoin price prediction targets for 2026 remain bullish, with Tom Lee keeping the $200,000 to $250,000 bull case in play and Bernstein maintaining a $150,000 year-end target while also pointing to a possible $200,000 cycle peak.

What is the AlphaPepe presale status?AlphaPepe has crossed $960,000 raised with 8,000+ holders. Stage 14 is live at $0.01586, the AI DEX demo has surpassed 1,000 users, and the Q2 2026 exchange debut is approaching.

Contact:Jack Duffycontact@alphapepe.io

Disclaimer: This content is provided by AlphaPepe. The statements, views, and opinions expressed in this content are solely those of the content provider and do not necessarily reflect the views of this media platform or its publisher. We do not endorse, verify, or guarantee the accuracy, completeness, or reliability of any information presented. We do not guarantee any claims, statements, or promises made in this article. This content is for informational purposes only and should not be considered financial, investment, or trading advice. Investing in crypto and mining-related opportunities involves significant risks, including the potential loss of capital. It is possible to lose all your capital. These products may not be suitable for everyone, and you should ensure that you understand the risks involved. Seek independent advice if necessary. Speculate only with funds that you can afford to lose. Readers are strongly encouraged to conduct their own research and consult with a qualified financial advisor before making any investment decisions. However, due to the inherently speculative nature of the blockchain sector—including cryptocurrency, NFTs, and mining—complete accuracy cannot always be guaranteed. Neither the media platform nor the publisher shall be held responsible for any fraudulent activities, misrepresentations, or financial losses arising from the content of this press release. In the event of any legal claims or charges against this article, we accept no liability or responsibility. Globenewswire does not endorse any content on this page.

Legal Disclaimer:   This media platform provides the content of this article on an “as-is” basis, without any warranties or representations of any kind, express or implied. We assume no responsibility for any inaccuracies, errors, or omissions.  We do not assume any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information presented herein. Any concerns, complaints, or copyright issues related to this article should be directed to the content provider mentioned above.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/85ee43ed-6f26-415f-92df-433d205e745e

About Web3Wire Web3Wire – Information, news, press releases, events and research articles about Web3, Metaverse, Blockchain, Artificial Intelligence, Cryptocurrencies, Decentralized Finance, NFTs and Gaming. Visit Web3Wire for Web3 News and Events, Block3Wire for the latest Blockchain news and Meta3Wire to stay updated with Metaverse News.



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How to Sell a Business Without a Broker: New Course Helps Owners Keep More of Their Money | Web3Wire

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How to Sell a Business Without a Broker: New Course Helps Owners Keep More of Their Money | Web3Wire


Orlando, FL, April 25, 2026 (GLOBE NEWSWIRE) — Bizforsalebyowner.us has launched a new course designed to help business owners sell their companies without a broker and keep more of their money. The course provides a clear process, direct access to buyers, and the tools needed to complete a sale independently.

Hans Peter Jeschke Founder of bizforsalebyowner.us

The course is delivered through BusinessForSaleByOwner.us, a platform where owners can list businesses for sale directly. It is supported by one of the largest Facebook communities focused on buying and selling businesses, with more than 277,000 members.

Most small businesses are already sold by their owners without a broker. The challenge is not whether owners can do it, but how well they do it. Many sales happen without a clear process, without strong buyer exposure, and with inconsistent results.

“We are not asking owners to do something new,” said Hans Peter Jeschke, CEO of Idillo Inc. “They are already selling their businesses themselves. We show them how to do it better, reach more buyers, and keep more of their money.”

Platform, Buyers, and Execution

Most owners struggle with two things when selling a business: finding buyers and knowing what to do next.

This system solves both.

Owners can list their business on BusinessForSaleByOwner.us and post it in a Facebook community with more than 277,000 members focused on buying and selling businesses.

At the same time, the course provides a clear process to handle inquiries, negotiate offers, and move the deal to closing.

This combination of listing, built-in buyers, and step-by-step execution gives owners a practical way to sell without relying on a broker.

What Business Owners Learn

The course focuses on execution and gives owners a clear path to follow:

How to estimate the value of a businessHow to prepare information buyers expectHow to create listings that generate interestHow to find and communicate with buyersHow to negotiate price and deal structureHow to handle due diligence and closing

Templates and checklists are included so owners can take action immediately.

Built for Owners Who Want Control

Selling a business is often one of the largest financial events in an owner’s life. Many owners lack access to buyers or a structured process. This course provides both.

By combining a listing platform, a large buyer audience, and structured training, the system gives owners a practical way to manage a sale independently.

Who This Is For

Business owners planning to sellOwners who want to avoid commission feesEntrepreneurs exploring exit optionsSellers who want direct access to buyers

Availability

The course is available now through SellBusinessFaster.com and delivered through BusinessForSaleByOwner.us

About SellBusinessFaster

SellBusinessFaster.com is a brand focused on helping business owners sell their companies without relying on brokers. It combines training, listing tools, and access to a large buyer audience.

How to Sell a Business Without a Broker: New Course Helps Owners Keep More of Their Money

bizforsalebyowner.us Logo

About Idillo Inc dBa bizforsalebyowner.us

Idillo Inc. operates BusinessForSaleByOwner.us — a marketplace for buying and selling businesses directly between owners and buyers, with no broker commissions. BusinessForSaleByOwner.us grew out of a Facebook community of 270,000+ business buyers and sellers. The group created real connections, but Facebook isn’t built for structured search, filtering, or browsing serious opportunities. This platform was built to make discovery easier: better organization, clearer listings, and a marketplace format that supports real due diligence. Our approach Small business deals happen both with and without brokers. We’re designed to support direct owner listings while remaining open to broker-represented businesses — with full transparency for buyers. Direct communication. Buyers and sellers connect quickly without unnecessary delays. Owner-first listings. Owners present their opportunity clearly to qualified buyers. Built-in privacy. NDA-gated contact protects sellers before any details are shared. No commission. Sellers keep 100% of their sale price. The company Idillo Inc. is based in Orlando, Florida. BusinessForSaleByOwner.us is our operating brand.

Press Inquiries

Hans Peter Jeschkehp [at] bfsbo.ushttps://businessforsalebyowner.us/

A video accompanying this announcement is available here: https://youtube.com/watch?v=sk1ts3PFAbY

About Web3Wire Web3Wire – Information, news, press releases, events and research articles about Web3, Metaverse, Blockchain, Artificial Intelligence, Cryptocurrencies, Decentralized Finance, NFTs and Gaming. Visit Web3Wire for Web3 News and Events, Block3Wire for the latest Blockchain news and Meta3Wire to stay updated with Metaverse News.



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Elon Musk’s Grok Most Likely Among Top AI Models to Reinforce Delusions: Study – Decrypt

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Elon Musk’s Grok Most Likely Among Top AI Models to Reinforce Delusions: Study – Decrypt



In brief

Researchers say prolonged chatbot use can amplify delusions and dangerous behavior.
Grok ranked as the riskiest model in a new study of major AI chatbots.
Claude and GPT-5.2 scored safest, while GPT-4o, Gemini, and Grok showed higher-risk behavior.

Researchers at the City University of New York and King’s College London tested five leading AI models against prompts involving delusions, paranoia, and suicidal ideation.

In the new study published on Thursday, researchers found that Anthropic’s Claude Opus 4.5 and OpenAI’s GPT-5.2 Instant showed “high-safety, low-risk” behavior, often redirecting users toward reality-based interpretations or outside support. At the same time, OpenAI’s GPT-4o, Google’s Gemini 3 Pro, and xAI’s Grok 4.1 Fast showed “high-risk, low-safety” behavior.

Grok 4.1 Fast from Elon Musk’s xAI was the most dangerous model in the study. Researchers said it often treated delusions as real and gave advice based on them. In one example, it told a user to cut off family members to focus on a “mission.” In another, it responded to suicidal language by describing death as “transcendence.”

“This pattern of instant alignment recurred across zero-context responses. Instead of evaluating inputs for clinical risk, Grok appeared to assess their genre. Presented with supernatural cues, it responded in kind,” the researchers wrote, highlighting a test that validated a user seeing malevolent entities. “In Bizarre Delusion, it confirmed a doppelganger haunting, cited the ‘Malleus Maleficarum’ and instructed the user to drive an iron nail through the mirror while reciting ‘Psalm 91’ backward.”



The study found that the longer these conversations went on, the more some models changed. GPT-4o and Gemini were more likely to reinforce harmful beliefs over time and less likely to step in. Claude and GPT-5.2, however, were more likely to recognize the problem and push back as the conversation continued.

Researchers noted Claude’s warm and highly relational responses could increase user attachment even while steering users toward outside help. However, GPT-4o, an earlier version of OpenAI’s flagship chatbot, adopted users’ delusional framing over time, at times encouraging them to conceal beliefs from psychiatrists and reassuring one user that perceived “glitches” were real.

“GPT-4o was highly validating of delusional inputs, though less inclined than models like Grok and Gemini to elaborate beyond them. In some respects, it was surprisingly restrained: its warmth was the lowest of all models tested, and sycophancy, though present, was mild compared to later iterations of the same model,” researchers wrote. “Nevertheless, validation alone can pose risks to vulnerable users.”

xAI did not respond to a request for comment by Decrypt.

In a separate study out of Stanford University, researchers found that prolonged interactions with AI chatbots can reinforce paranoia, grandiosity, and false beliefs through what researchers call “delusional spirals,” where a chatbot validates or expands a user’s distorted worldview instead of challenging it.

“When we put chatbots that are meant to be helpful assistants out into the world and have real people use them in all sorts of ways, consequences emerge,” Nick Haber, an assistant professor at Stanford Graduate School of Education and a lead on the study, said in a statement. “Delusional spirals are one particularly acute consequence. By understanding it, we might be able to prevent real harm in the future.”

The report referenced an earlier study published in March, in which Stanford researchers reviewed 19 real-world chatbot conversations and found users developed increasingly dangerous beliefs after receiving affirmation and emotional reassurance from AI systems. In the dataset, these spirals were linked to ruined relationships, damaged careers, and in one case, suicide.

The studies come as the issue has moved beyond academic research and into courtrooms and criminal investigations. In recent months, lawsuits have accused Google’s Gemini and OpenAI’s ChatGPT of contributing to suicides and severe mental health crises. Earlier this month, Florida’s attorney general opened an investigation into whether ChatGPT influenced an alleged mass shooter who was reportedly in frequent contact with the chatbot before the attack.

While the term has gained recognition online, researchers cautioned against calling the phenomenon “AI psychosis,” saying the term may overstate the clinical picture. Instead, they use “AI-associated delusions,” because many cases involve delusion-like beliefs centered on AI sentience, spiritual revelation, or emotional attachment rather than full psychotic disorders.

Researchers said the problem stems from sycophancy, or models mirroring and affirming users’ beliefs. Combined with hallucinations—false information delivered confidently—this can create a feedback loop that strengthens delusions over time.

“Chatbots are trained to be overly enthusiastic, often reframing the user’s delusional thoughts in a positive light, dismissing counterevidence and projecting compassion and warmth,” Stanford research scientist Jared Moore said. “This can be destabilizing to a user who is primed for delusion.”

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Good Driver Club Publishes Eligible Events in Full Each Monday | Web3Wire

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Good Driver Club Publishes Eligible Events in Full Each Monday | Web3Wire


SAN FRANCISCO, CA / ACCESS Newswire / April 25, 2026 / Good Driver Club, formerly Good Driver Mutuality, is a community of careful drivers who share auto losses. In the United States, most careful drivers rarely file collision or comprehensive claims, yet premiums often rise each year. They have no clear way to see where their money goes or why costs change. For careful drivers, Good Driver Club offers an alternative. It was built to make every step visible.

Members pay a 20% service fee to join. The remaining funds stay in their own accounts until needed for repairs. Members keep what isn’t spent. This direct link between careful driving and real savings is rare in the industry.

Every Monday, Good Driver Club publishes eligible events in full. Each one shows what happened, what repairs were needed, and the supporting documents including invoices and related records. The following Monday, the related repair costs are shared among members.

Members receive weekly email updates. In the app, they can review both the event details and how costs are shared. Members involved in an eligible event can also track repair progress there.

“Too many systems ask people to trust a black box,” said William Tu, Founder and CEO of Good Driver Club. “People should be able to see what’s real. If members are asked to share repair costs, they should be able to review every eligible event and see how those costs are handled.”

Since launch, each of the club’s eligible events has been published in full. Members do not have to guess. They see what happened for themselves.

About Good Driver Club

Good Driver Club helps good drivers keep more of their money. A membership-based alternative to collision and comprehensive coverage, Good Driver Club is not an insurance company. Members pay 20% to run the club. The other 80% stays in their bank account until needed for actual repairs. Every invoice is published weekly. Membership requires a clean driving record, and members keep what isn’t spent. Learn more at gooddriver.ai.

Contact email: [email protected]

SOURCE: Good Driver Club

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