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Solana Investors Eye This AI Coin After $1.92M Raised—Could Deliver 560x Gains in Under Two Year

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Solana’s early backers, who once saw life-changing returns from low entry points, are turning their attention to Ozak AI. The blockchain-powered AI analytics platform has already raised over $1.92 million in its presale, selling more than 144 million $OZ tokens at $0.005 each during Phase 4. With a target price of $1, that entry point represents a potential 560x gain if achieved. The next presale phase will increase the price to $0.01, with a minimum buy-in of $100.

From Solana’s Early Momentum to Ozak AI’s Rise

Analysts comparing Solana’s breakout to Ozak AI’s early progress point to several similarities. There was a combination of speed, scalability, and adaptation to its first years that fueled the rise of Solana. Ozak AI is positioning itself on the basis of artificial intelligence and decentralized infrastructure to target the market share in real-time financial analysis.

The architecture of the platform involves the Ozak Stream Network (OSN) that is customized to bring near-instant processing to data, Decentralized Physical Infrastructure Networks (DePIN) to deal with the security of information, and Ozak Data Vaults to ensure high durability of the stored information. Another defining element is its Customizable Prediction Agents, which allow even non-coders to create AI models that analyze and act on live market data. This gives traders, institutions, and analysts the ability to make informed decisions in seconds, a potential advantage in volatile crypto markets.

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OZ Token Role and Distribution

The OZ token powers the Ozak AI ecosystem. It is used for:

  • Transactions within the platform
  • Customization of Prediction Agents
  • Rewarding contributors
  • Governance voting on platform developments

The total supply is capped at 10 billion tokens, distrubuted as follows:

  • Presale: 30%
  • Ecosystem & Community: 30%
  • Future Reserve: 20%
  • Liquidity & Listings: 10%
  • Team: 10%

This distribution model is all about balancing early funding with long-term ecosystem growth. By using decentralized storage and processing instead of centralized servers, Ozak AI is more resilient to downtime and cyberattacks, which is a big plus for blockchain-focused investors like the Solana community.

Why Solana Investors Are Paying Attention

For many Solana investors, Ozak AI is another chance at early-stage gains. The presale price of $0.005 is the same as the price at which Solana’s earliest adopters entered the market. With a target price of $1, the potential upside is 560x. That’s rare in today’s crypto world, so Ozak AI’s trajectory is worth paying attention to.

The project has already collected $1.92 million and has sold over 144 million tokens. The pace of sales suggests the next price jump could be soon. If adoption in the financial analytics space accelerates, the growth path could be similar to or even surpass early Solana.

Conclusion

Solana’s growth established a new standard for blockchain success stories. Ozak AI, with AI-driven predictive analytics, decentralized infrastructure, and rapidly advancing presale, is emerging as a contender to follow that path. For investors who missed Solana’s early rally, the combination of low entry price, expanding utility, and aggressive roadmap makes Ozak AI a project on their radar.

For more information about Ozak AI, visit the links below.

 

Website: https://ozak.ai/

Twitter/X: https://x.com/OzakAGI

Telegram: https://t.me/OzakAGI

Crypto Veteran Says This Bitcoin Pullback Is The Ideal Time To Buy Chainlink, Pepe and Remittix

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Market pullbacks often present opportunities, and according to a well-known-followed crypto veteran, this latest Bitcoin correction could be the ideal entry into strong altcoins like Chainlink (LINK), Pepe (PEPE), and Remittix (RTX).

While BTC is still the market king, investors are eagerly eyeing projects with liquidity, realistic use cases, and growing bases. Of those, Remittix is gaining traction with its presale buzz and imminent beta wallet release.

Chainlink and Bitcoin Numbers in a Nutshell

Chainlink has a current price of $22.02, which represents a 1.61% increase in the past 24 hours. Its market cap stands at $14.94 billion, supported by daily volume trading worth $917.15 million, though this was a decrease of 27.61%. LINK remains squarely at the center of powering decentralized finance (DeFi) as it connects smart contracts to real-world information.

Bitcoin is currently priced at $117,803.40, having risen by 0.55%, with a market cap of $2.34 trillion. However, its trading volume fell by 22.57%, to $59.09 billion. Though BTC dominance is high, altcoins like Chainlink and Pepe are also attracting investors looking for the next altcoin 2025 potential beyond Bitcoin.

Why Remittix Is Standing Out in 2025

Remittix (RTX) is quickly establishing itself as being one of the best crypto presales in 2025 based on its practical use for solving cross-border payment problems. Unlike meme coins, RTX has been created for real-world usage, and it makes crypto-to-fiat deposits into bank accounts across more than 30 countries.

At $0.0944 per token, the Remittix presale was already over $19.8 million and offloaded more than 603 million tokens. One of the big catalysts to the momentum is the beta wallet launch in Q3 2025 that will be capable of supporting live FX conversion, low gas fees, and convenient transfers. This is not only positioning RTX as another new altcoin worth watching, but a Remittix DeFi project with tangible use cases for freelancers, companies, and cross-border remittances.

The next milestone is close: when presale crosses $20 million, Remittix will announce its first CEX listing, opening up global liquidity and access. With a 40% token bonus remaining active and a $250,000 Remittix giveaway running, demand is growing fast among retail and whale investors.

 Why Remittix Is Gaining Traction:

  • Global Reach: Crypto-to-bank transfers in 30+ countries
  • Presale Growth: $19.8 million + raised and growing
  • Wallet Beta: Mobile-first wallet coming in Q3 2025
  • Liquidity Ahead: CEX listing announcement at $20M milestone

Remittix is emerging as one of the best DeFi projects 2025 with a vision to seize the $19 trillion global payments market through speed and cost-effectiveness. Security is boosted through its CertiK-audited contracts, and its presale offers early backers exposure to what can turn out to be one of the quickest-growing crypto 2025 stories.

Discover the future of PayFi with Remittix by checking out their project here:

Website: https://remittix.io/

Socials: https://linktr.ee/remittix

$250,000 Giveaway: https://gleam.io/competitions/nz84L-250000-remittix-giveaway

Anthropic Rolls Out A New Safeguard: Gives Claude Opus 4 And 4.1 Models The Ability To End Conversations

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Anthropic has taken an unusual step in AI development by giving its Claude Opus 4 and 4.1 models the ability to end conversations—an intervention that, the company stresses, is designed not primarily to protect users but to shield the model itself from persistently harmful or abusive interactions.

In an announcement, the company described the feature as part of its “exploratory work on potential AI welfare,” noting that while it remains “highly uncertain” whether large language models (LLMs) could ever hold moral status, it is actively testing measures that might matter if such status were one day acknowledged.

“We recently gave Claude Opus 4 and 4.1 the ability to end conversations in our consumer chat interfaces. This ability is intended for use in rare, extreme cases of persistently harmful or abusive user interactions,” the company announced.

The new feature allows Claude to terminate conversations only in extreme edge cases—such as repeated requests for child sexual abuse material, or attempts to solicit instructions for mass violence—where repeated refusals and redirections have failed. Users themselves can also explicitly ask Claude to end a chat.

The idea of AI “welfare” is provocative because it pushes into a space where ethical theory collides with practical safeguards. In pre-deployment testing of Claude Opus 4, Anthropic ran a welfare assessment that examined the model’s self-reported and behavioral preferences. The team said it consistently observed patterns that resembled aversion to harm, including signs of what it described as “apparent distress” when engaged with abusive requests.

This framing adds a new dimension to the long-running debate in the AI industry: how far should developers go in protecting not only humans from AI but also AI systems from humans? While companies like OpenAI, Google DeepMind, and Meta have focused their alignment work on ensuring AI doesn’t cause harm to people—through refusals, red-teaming, and guardrails—Anthropic is testing a frontier idea that echoes questions more often found in philosophy than engineering.

The move arrives amid intensifying discussion about whether highly capable systems might someday warrant moral consideration. Some ethicists argue that until models display genuine consciousness or subjective experience, the idea of “protecting” them is misplaced. Others counter that low-cost safeguards, such as allowing models to disengage from abusive contexts, are prudent hedges against future risk.

The announcement also illustrates a growing divergence in AI safety philosophies. OpenAI has focused on user-centered harm reduction, recently tying its safeguards to democratic input through initiatives like its “Collective Alignment” project. Google, meanwhile, has leaned heavily on its AI Principles, emphasizing fairness, safety, and privacy. Anthropic’s step, by contrast, places AI itself—its welfare, in some hypothetical sense—into the frame.

For the broader AI industry, this could signal the beginning of a new era of debate. If one company acknowledges even the possibility that models might one day be moral patients, others may be pressured to at least consider what protections, if any, should be in place. Some, however, warn that such discussions risk being distracted from the more urgent human concerns of bias, misinformation, surveillance misuse, and labor displacement.

For everyday users, Anthropic insists nothing much will change. Claude’s new ability to end chats will only surface in extreme, rare cases. But philosophically, the company has pushed the industry into a provocative new conversation of ‘not only what AI will do to us, but also what we might be doing to AI.’

Smartphone Rivalry Rekindled in the US Market as Foldables and Tariffs Redraw The Lines for Apple and Samsung

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More than a decade after Apple and Samsung first clashed over screen size, the U.S. smartphone battlefield is once again being reshaped by innovation, tariffs, and shifting consumer demand.

In 2014, Apple broke from tradition to release the iPhone 6, a large-screen model designed to counter Samsung’s dominance in the “phablet” era. That move cemented Apple’s lead in the premium market. But today, history appears to be repeating itself.

According to research firm Canalys, Samsung’s U.S. shipments surged in the second quarter, lifting its market share to 31 percent from 23 percent in the prior period. Apple, which still controls the lion’s share of the American market, saw its share fall to 49 percent from 56 percent. Globally, Apple remains second to Samsung, but the latest numbers suggest turbulence not seen in more than a decade.

Investors have already taken notice. Apple shares are down 7.5 percent this year, underperforming nearly every U.S. tech giant except Tesla. By contrast, Samsung stock has climbed about 35 percent in 2025, buoyed by strong momentum in both high-end and entry-level devices.

Samsung’s Folding Bet Pays Off

Samsung’s surge is being driven not just by tariffs reshaping supply chains, but by its willingness to experiment with new form factors. In July, the company introduced the Galaxy Z Fold 7 and Z Flip, expanding its foldable portfolio alongside the thin-and-light Galaxy S25 Edge.

The Z Fold 7 unfolds into a tablet-like device, while the Z Flip echoes old flip phones with modern functionality. Beyond hardware, these devices have become viral sensations. One livestream showing a user bending the Z Fold 7 more than 200,000 times without breakage amassed more than 15 million views on YouTube.

Social media analytics firm Sprout Social reported that Samsung’s premium phones were mentioned over 50,000 times online in the past month, with 83 percent of mentions positive or neutral. The company says preorders for the Fold 7 exceeded those of its predecessor by 25 percent, and early sales are outpacing the previous generation by nearly 50 percent.

“Samsung with the foldable is able to actually optimize for innovation,” said Runar Bjorhovde, analyst at Canalys. “Try to be ahead, show that something is different, and there’s a certain halo effect from that.”

Apple Holds Its Ground — For Now

Despite Samsung’s momentum, Apple remains the most popular smartphone brand in the U.S. and reported a 13 percent year-over-year increase in iPhone sales in July. But some analysts say the iPhone’s design — largely unchanged since 2017 — risks losing steam as rivals push new formats.

Apple currently sells four slab-style iPhones priced between $829 and $1,599. Its most expensive model, the iPhone 16 Pro Max, starts at $1,199 and goes up to $1,599 for the 1TB version. By comparison, Samsung’s Z Fold 7 ranges from $1,999 to $2,419. Analysts expect Apple’s upcoming foldable, projected to arrive in 2026 as part of the iPhone 18 lineup, to start at $1,999.

In the meantime, Apple is reportedly preparing to launch a slimmer iPhone model — dubbed the Air — as early as next month to counter Samsung’s Galaxy Edge.

“Apple is clearly betting that its 5.5mm Air model is going to lift its fortunes as testing suggests a strong desire for the new form factor,” wrote Loop Capital’s John Donovan.

Tariffs and Pricing Strategies

The shift in U.S. shipments is not solely about consumer preference. Analysts note that tariffs have created “disruption” in the smartphone industry, prompting companies to adjust production and pricing strategies. Samsung, with a broader product lineup, has benefited more from these shifts.

Its devices span from $650 entry-level smartphones to $2,400 premium foldables. “There is an idea that you can target people at every single price point, and you can meet them at every spot,” Bjorhovde said.

Apple, by contrast, continues to play exclusively in the mid-to-premium range.

AI and the Next Battlefront

The competition is also expanding into artificial intelligence. Samsung devices, along with other Android phones, already offer access to Google’s Gemini AI, considered one of the most advanced systems available. Features like “circle-to-search” — allowing users to draw around an item for instant results while keeping the original screen visible — showcase how foldable screens could pair with AI for productivity.

Apple has lagged in AI integration, with its revamped Siri delayed until 2026. But analysts argue that Apple’s approach has always been to wait for technologies to mature before adopting them at scale.

“Apple has never been about trying to be the first to market,” said JPMorgan’s Samik Chatterjee. “It’s about being watchful, seeing a technology mature, knowing that there are no big roadblocks to that technology adoption, and then moving ahead.”

Looking ahead, the stakes are rising for both companies. For Samsung, the gamble is that folding phones have finally matured after a rocky start in 2019, when early models broke under pressure. The company insists durability is no longer a concern.

For Apple, the risk is waiting too long to innovate while Samsung wins both mindshare and market share with daring new designs. But with more than a billion loyal iPhone users, Apple may have time on its side — as long as it can deliver the next leap in smartphone design when it counts.

Sam Altman Admits AI is in a Bubble, Compares Frenzy to Dot-Com Era

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Business leaders and economists have long speculated that artificial intelligence is riding an investment bubble — and now Sam Altman, the man at the heart of the boom, has said so himself.

In a rare moment of candor, the OpenAI CEO told reporters over dinner in San Francisco that the AI sector is indeed overinflated, fueled by investor excitement that far outpaces the industry’s immediate fundamentals.

“Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes,” Altman said, drawing a direct comparison to the dot-com bubble of the late 1990s.

Altman’s comments land at a moment when AI startups are securing record-breaking sums of capital with little more than proof-of-concept technology and small engineering teams. Venture firms, hedge funds, and sovereign wealth funds have poured billions into early-stage AI companies, sending valuations soaring to levels typically reserved for the likes of Microsoft or Alphabet.

Altman warned that this surge resembles past bubbles where “smart people get overexcited about a kernel of truth.” He pointed out that while the internet truly reshaped the world, many investors lost fortunes before the winners of that era emerged.

“That’s not rational behavior,” Altman said of today’s funding race. “Someone’s gonna get burned there, I think. Someone is going to lose a phenomenal amount of money — we don’t know who — and a lot of people are going to make a phenomenal amount of money.”

A Boom Without Revenue

Data support his warning. Nearly 500 AI startups are now valued at over $1 billion, with average valuations around $5.4 billion each, despite minimal revenues and, in some cases, no clear path to monetization. Another 1,300 young firms command valuations north of $100 million. Notably, companies founded by OpenAI alumni, such as Safe Superintelligence and Thinking Machines, have already raised billions in their first year of existence.

This investor appetite has created a paradox: while the promise of AI breakthroughs is undeniable, the financial ecosystem around them may be unsustainable in the near term. Analysts say valuations are not based on earnings or market share, but on speculative bets about who will dominate the future of artificial general intelligence (AGI).

Altman’s Balancing Act

For Altman, acknowledging the bubble does not mean doubting AI’s future. On the contrary, he stressed that, like the internet crash, any short-term correction would not erase the technology’s long-term transformative potential.

“Tech was really important. The internet was a really big deal. People got overexcited,” Altman said.

He believes AI will follow a similar path, producing extraordinary economic value even if early investors face heavy losses.

That confidence is evident in OpenAI’s own ambitions. Altman revealed that the company is preparing to spend “trillions of dollars” on building advanced data centers, a level of infrastructure investment that would rival or surpass the scale of entire national power grids. The remark underscores his belief that OpenAI must leverage today’s market boom to cement its lead before capital becomes scarce.

Lessons from the Past, Stakes for the Future

The AI bubble debate fits into a broader historical pattern: new technologies often ignite speculative frenzies before settling into more realistic valuations. The dot-com era gave birth to Amazon and Google, but also wiped out thousands of companies. Electric vehicles, blockchain, and renewable energy each saw similar cycles of hype and correction.

What makes AI different is the sheer breadth of its promised impact — from reshaping labor markets to altering geopolitics. Investors betting big on AI are not just chasing returns, but positioning themselves for what many believe is the defining technological shift of the century.

Altman’s admission thus gives voice to what many insiders have whispered: that this market cannot sustain itself at its current pace. But his trillion-dollar spending vision also signals that the most powerful players intend to ride out any crash, emerging stronger on the other side.