Sam Altman ChatGPT AI just delivered the most institutionally detailed Bitcoin price prediction bull case in this entire series. The model predicts $150,000 as the central year-end target, with a credible bull range of $180,000 to $200,000 and a momentum-driven stretch target of $250,000 sitting above that.

The bull case reads like a complete regulatory and adoption checklist rather than a single thesis. Bitcoin trades near $64,000 today, and the model describes the catalyst stack as unusually powerful even by Bitcoin’s historically catalyst-rich standards.

The bipartisan CLARITY Act has passed the House and advanced through Senate committee work, and final enactment would clarify SEC versus CFTC jurisdiction and remove a major institutional risk premium that has kept conservative allocators cautious. The GENIUS Act adds another layer of regulatory clarity for stablecoins and digital assets on top of that.

The Trump administration’s explicitly pro-crypto policy pivot and the creation of a Strategic Bitcoin Reserve whose holdings are not to be sold give Bitcoin unprecedented political legitimacy that no previous cycle has ever had.

Regulated demand channels are widening simultaneously across multiple vectors, including spot ETFs, in-kind ETF creations and redemptions, potential 401 (k) access, the repeal of restrictive SAB 121 custody accounting, OCC approval for banks to provide crypto custody and execution, and FASB fair value accounting.

That last item matters enormously because it means corporations can now hold Bitcoin on their balance sheets without penalizing accounting treatment.

Adoption has moved well past theoretical at this point, with digital asset funds attracting $47.2 billion during 2025, corporate treasury participation expanding, and Strategy alone reporting holdings above 845,000 BTC, creating persistent structural demand against Bitcoin’s fixed post-halving issuance.

The bear case names specific triggers rather than vague concerns. A fall toward $45,000 to $60,000 becomes the scenario if CLARITY stalls before the midterms, inflation forces the Federal Reserve to tighten instead of easing, ETF flows reverse, or leveraged Treasury companies are forced sellers.

The model explicitly frames the $150,000 target as the best risk-adjusted outcome rather than a guaranteed one, which is a notably measured closing statement for a prediction this ambitious.

Bitcoin (BTC)

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Bitcoin Price Prediction: Recovers Off Its Lowest Level In Over A Year With The Best Catalyst Stack Of The Cycle

The daily chart shows Bitcoin at $64,382 after a recovery that has gained real traction over the past 2 weeks, bouncing from lows near $58,000 in late June and building momentum into early July.

Today’s candle is up nearly 2% and has traded as high as $64,453 intraday, putting Bitcoin back above the $64,000 level for the first time since late May.

That recovery looks structurally different from the shallow bounces that came before it, with a series of higher lows forming since the June bottom and each subsequent session holding gains rather than immediately giving them back.

Resistance sits first at $68,000, the level that capped multiple attempts to push higher throughout May and June, with a much heavier ceiling near $80,000 where the most extended rally of the year ultimately ran out of buyers.

The $60,000 level sits directly below as the line between the current base and the upper end of the bear case range named in this prediction, making it the most critical number to watch on this chart.

The broader structure still shows lower highs stretching back to October, with the downtrend technically intact until Bitcoin can clear $80,000 and hold it.

Momentum on the daily candles looks the most constructive it has been since April, with green sessions becoming more consistent and the selling pressure that dominated June clearly dissipating.

Given how precisely the model frames the CLARITY Act timeline and late Q3 to Q4 as the ignition window, the price action over the next 6 to 8 weeks around the $60,000 to $68,000 zone will almost certainly determine whether this base becomes the launchpad ChatGPT is describing or simply another failed attempt to reverse a dominant downtrend.

Here is What ChatGPT AI Predicts About LiquidChain

Most people will only see this rotation in hindsight. The smart money has already moved.

Large caps are not failing. They are out of room. Bitcoin, Ethereum, and XRP keep pressing against the same ceilings with nothing breaking through. Every macro tailwind has a new arrival date. Every institutional wave lands next quarter. Sitting in assets where the upside depends entirely on someone else’s decision is not a strategy. It is a waiting room.

Capital that has survived enough cycles knows one thing. It moves before the destination becomes obvious.

Early-stage infrastructure plays by completely different rules. A small market cap means that a modest rotation can produce dramatic price movement. The returns live in the gap between what something is genuinely worth and what the market has assigned it so far. That gap exists only while the project remains undiscovered. Once found, it closes permanently.

Multi-chain fragmentation is bleeding DeFi every single day. Bitcoin, Ethereum, and Solana exist as completely isolated systems. No native bridge between them. Every user crossing those boundaries absorbs the cost directly in fees, slippage, and failed transactions. Every single crossing. Every single time.

ChatGPT AI predicts LiquidChain fixes that entirely. All 3 networks within a single execution layer. One deployment reaches everything. Zero cross-chain tax on any interaction.

The presale is at $0.01454 with just over $890,000 raised. The market has not found this yet. That is exactly the point.

Execution is unproven. Adoption is unknown. Established assets offer a predictable ride toward a ceiling everyone can already see. LiquidChain is an entry point that disappears the moment the market looks up.

Visit LiquidChain.

The post Sam Altman ChatGPT AI Predicts Bitcoin Price Will Shock Everyone by End Of 2026 appeared first on Cryptonews.

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Ethereum News: The Ethereum Foundation’s Protocol Security team disclosed on July 9 that coordinated AI agents scanning Ethereum’s core codebase identified CVE-2026-34219, a remotely-triggerable panic in libp2p’s gossipsub layer that allows any unauthenticated peer to crash a vulnerable node with a single crafted control message.

The bug has been patched in libp2p-gossipsub v0.49.4, and every operator running consensus clients on an older version should treat the upgrade as non-negotiable.

Ethereum (ETH)

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Ethereum News: What the Bug Actually Does

Gossipsub is the P2P messaging layer all Ethereum consensus clients depend on to propagate blocks and attestations across the network.

CVE-2026-34219 lives in the PRUNE backoff expiry handler: when a peer sends a crafted PRUNE control message carrying a near-maximum backoff value, the implementation performs unchecked Instant + Duration arithmetic on the next heartbeat tick. That arithmetic overflows and triggers a panic, according to SentinelOne’s vulnerability database.

According to NVD’s CVE record, the vulnerability carries a CVSS v3.1 base score of 8.2 HIGH with an attack vector of network, no privileges required, and no user interaction.

The attacker can reconnect and replay the message after each crash, making the denial-of-service repeatable at negligible cost. Affected scope is any validator, indexer, or sidecar tool running Rust libp2p-gossipsub below v0.49.4, the vulnerability is not confined to Ethereum deployments, as Snyk’s advisory flags it as a risk for any application using the vulnerable crate in production.

Discover: The Best Crypto to Diversify Your Portfolio

How the AI Agent Pipeline Found It

Nikos Baxevanis of the Ethereum Foundation’s Protocol Security team published the methodology behind the find.

The team ran many AI agents in parallel against Ethereum’s systems software, cryptographic code, and contracts, coordinating through a shared Git repository with no central dispatcher, a structure borrowed from Anthropic’s fleet-based compiler work.

Roles were generated dynamically as the work surfaced them: Recon converted attack surface into testable hypotheses, Hunting traced code paths and built reproducers, Gap-filling tracked coverage, and Validation independently re-checked every candidate before it counted.

The key discipline was a strict reproducibility threshold. As the EF post states: “A candidate isn’t a finding until there’s a self-contained artifact that reproduces the failure against the real code, and that runs for someone who didn’t write it.”

That single rule filtered out the most common false-positive traps – panics that vanished in production builds, reproducers that relied on internal values no real attacker input could ever produce, and formal proofs that were trivially satisfied regardless of actual code behaviour.

The EF team’s candid framing of the triage burden is the most operationally useful part of the disclosure. “The surprise was how little of the work went into finding them, and how much went into telling the real bugs from the ones that just looked real,” Baxevanis wrote.

Most candidates were wrong, duplicate, or out of scope, and the volume AI generates means that false-positive rate compounds fast without rigorous triage infrastructure.

What This Means for Protocol Security Going Forward

CVE-2026-34219 is not an isolated incident in libp2p’s backoff handling. According to external CVE listings, a prior vulnerability, CVE-2026-33040, reportedly involved a similar PRUNE/backoff overflow fixed in v0.49.3 and carried a CVSS score of 8.7. CVE-2026-33040 and CVE-2026-34219 appear to be back-to-back high-severity bugs in the same subsystem across consecutive minor releases, suggesting a pattern of systematic hardening in libp2p’s backoff handling rather than a one-off patch, and suggesting the gossipsub control-message surface warrants continued scrutiny.

The broader implication for Ethereum infrastructure is structural. AI-assisted security work has been applied to smart contract audits for years; this disclosure marks a meaningful shift toward deploying the same capability against core networking and systems code.

The EF team’s conclusion is direct: “The bottleneck didn’t go away. It moved from finding bugs to trusting the results, which is a better place for it, because that’s where human judgment actually matters.” For Ethereum’s ongoing protocol development, that’s a durable process improvement – not just a one-time find.

Operators running consensus clients or any auxiliary tooling built on Rust libp2p should verify their gossipsub version immediately and upgrade to v0.49.4 or later. The patch adds bounds checking on backoff duration values in PRUNE messages before they enter heartbeat arithmetic, closing the overflow path entirely.

Don’t Miss Out on Our $1,000 USDT Airdrop on ByBit

The post Ethereum AI Security Agents Found Bug That Could Crash Any Node With a Single Message appeared first on Cryptonews.

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JPMorgan’s artificial intelligence (AI) agents beat a traditional 60/40 portfolio across two decades of backtests. The bank celebrated the result, then warned investors not to trust it.

The test asks whether AI can move from assisting analysts to allocating capital itself. It lands as Jack Dorsey champions a similar shift in how people work with machines.

How JPMorgan’s AI Agents Beat the 60/40 Portfolio

JPMorgan’s cross-asset strategy team built eight AI agents that move between stocks and bonds as conditions change. The strategists, led by Thomas Salopek, shared the results in a July 9 note. The system reads four macro regimes set by growth and inflation.

The benchmark is fair and meaningful. The 60/40 split anchored balanced portfolios for decades. In 2022 it had its worst year since 1937, when stocks and bonds sank together.

The agents favored stocks when growth looked strong and bonds when it weakened. Over 20 years of backtests, the best agent topped the 60/40 portfolio by 0.7 percentage point a year.

It did so with 2.8% lower annual volatility. All eight agents won on a risk-adjusted basis, with Sharpe ratios of 0.74 to 0.95 against the portfolio’s 0.61.

The agents ran on off-the-shelf models from OpenAI and Anthropic, yet beat JPMorgan’s own rules-based regime model. That extends the bank’s recent AI calls into riskier territory.

Why the Bet Echoes Dorsey’s Agent-First Vision

The approach mirrors a philosophy Jack Dorsey described. The Block chief executive now defers to AI agents rather than directing them.

Dorsey has already bet his company on it, cutting over 4,000 jobs at Block in February and crediting AI. That was about 40% of staff. JPMorgan’s agents apply the same logic to markets, part of a wider push toward AI agents handling money.

The Warning Veteran Quants Know Well

JPMorgan was clear about the limits. The results come from historical simulations, not live trading, and the bank cautioned against over-reading them.

Richard Bernstein, a veteran Wall Street quant, put it more sharply. New strategies, he noted, rarely publish backtests that lose.

His point is publication bias. Flexible AI models can fit past noise, then fade when live costs and unseen regimes hit.

JPMorgan also warned that crowded AI trades could amplify market stress, echoing broader cracks in AI spending. Backtests have flattered many strategies that later stumbled. Whether these agents survive live markets is the real question.

The post JPMorgan’s AI Portfolio Bet Echoes Jack Dorsey’s Vision, But With a Big Warning appeared first on BeInCrypto.

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Grayscale has named five blockchains best positioned to gain as tokenized stocks push deeper into traditional finance. The asset manager pointed to Ethereum (ETH), Solana (SOL), Avalanche (AVAX), BNB Chain, and Canton Network.

A new research note frames tokenized equities as one of the clearest signs of blockchain entering mainstream markets. Grayscale sees three models driving that shift, and each rewards a different set of networks.

Three Models Moving Tokenized Stocks Onchain

Grayscale head of research Zach Pandl laid out the three phases in the note. The first is the wrapper model, where a token represents shares held inside a special purpose vehicle. That structure holds more than 70% of tokenized stock value today.

These wrapped tokens give holders price exposure rather than direct ownership. They appeal to retail traders because they fit decentralized finance and trade around the clock. Demand has climbed fast, with tokenized stock products drawing fresh capital in recent weeks.

The split already favors specific chains. Grayscale’s data shows third-party platforms hold most tokenized stock value. Ethereum, Solana, and BNB Chain carry the majority of onchain assets.

The second model brings existing securities on-chain through regulated rails, part of the broader real-world asset tokenization trend. Grayscale pointed to the DTCC pilot on Canton Network.

That pilot runs under a no-action letter from the US Securities and Exchange Commission. A live launch is targeted for the first half of 2026. The weight behind it is substantial. DTCC processed $3.7 quadrillion in securities transactions in 2024, and it recently joined Euroclear as co-chair of Canton’s governance.

Securitize Pushes the Newest Model

The third and newest model has companies issue shares natively on-chain. Securitize became the first newly public company to bring its own stock on-chain at its NYSE debut this month. It launched SECZ shares on Avalanche and Solana on day one.

The firm expects SECZ to become the world’s largest tokenized stock. Its choice of Avalanche and Solana tracks Grayscale’s view that open and hybrid networks suit issuer-native shares. Securitize also serves as the tokenization platform behind BlackRock’s BUIDL, the largest tokenized US Treasury fund.

Grayscale expects all three models to coexist for years. It sees the issuer-native model as the most promising, though tokenized market liquidity stays thin and rules remain unclear. Wrapper products lean on Ethereum, Solana, and BNB Chain, while Canton anchors the institutional pilot.

What Comes Next for the Five Networks

The framework lands as tokenized equities move from pilots toward regulated infrastructure. Broader adoption still depends on clearer rules for natively issued shares.

Market pricing shows the stakes for the named chains. Ethereum’s spot market had ether near $1,785, the second-largest crypto asset, while Solana’s SOL price hovered around $78. Both networks host a rising share of on-chain tokenized assets.

Whether regulated pilots can match the retail pull of wrapper tokens will shape the next phase. For now, Grayscale’s map sends the value toward a short list of chains.

The post 5 Altcoins Stand to Gain From Tokenized Stocks, Grayscale Says appeared first on BeInCrypto.

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A bipartisan housing bill containing a ban on a central bank digital currency (CBDC) in the United States is set to become law as the deadline approaches for President Donald Trump to sign it.

Just after midnight on Friday, the 21st Century ROAD to Housing Act will have been in Trump’s hands for 10 days, excluding Sundays, the maximum amount of time a bill can be on the president’s desk without a veto or a signature. Under the US Constitution, the legislation will automatically become law without action from Trump, who canceled the signing ceremony for the bill on Jun 24.

In a Friday social media post, Trump confirmed that he would not sign the housing bill, calling Republicans in Congress who voted on the legislation “dumb” and urging the Senate to instead prioritize a controversial voting bill, the SAVE America Act. The legislation, which would require people to provide proof of US citizenship in person to register, has received widespread criticism for claims that it would disenfranchise citizens already eligible to vote.

Source: Donald Trump

The housing bill, passed by the House of Representatives and Senate in June with support from Democrats and Republicans, included language barring the Federal Reserve from issuing or creating a CBDC “or any digital asset that is substantially similar” until Dec. 31, 2030. Many analysts saw the digital dollar ban as a political giveaway to gain Republican support. Trump did not address the CBDC ban in his Friday post.

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Related: Trump backs CFTC authority over prediction markets

“[H]e’s refusing to sign the biggest housing bill in 30 years,” said Senator Elizabeth Warren, who co-sponsored the bill, on Trump’s actions. “The good news: it’s going to become law anyway.”

Could Trump’s inaction also affect crypto market structure?

Although the US president said in May that he intended to “future-proof” digital asset regulations, his refusal to sign legislation unrelated to the SAVE America Act has raised questions about whether the Digital Asset Market Clarity (CLARITY) Act under consideration in the Senate could face a similar situation as the housing bill.

The CLARITY Act, considered by many to be one of the most significant pieces of legislation affecting digital asset regulation, has already passed the House and two crucial Senate committees. Republican leaders in Congress expect that the bill will be heading to the full chamber for a floor vote in July once lawmakers return from state work periods on Monday.

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Trump’s ties to the crypto industry have already complicated discussions between Democrats and Republicans over the market structure bill. The president disclosed earning more than $1.4 billion in income from his crypto ventures in 2025, including memecoins and the family’s World Liberty Financial platform.

Magazine: Crypto’s CLARITY Act faces partisan fight over ethics on Senate floor

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Bitwise’s Q2 2026 crypto market review shows its 10 Large Cap Crypto Index dropped 15.4% last quarter, the third straight quarter in the red and the longest such stretch since 2022.

However, the same report argued that even as prices fell, the crypto sector, including stablecoins, tokenized assets, and prediction markets, has been strengthening.

Crypto Prices Down, But Fundamentals Are Improving

According to Bitwise, eight of the index’s 10 constituents finished Q2 in the red, with the worst performer in the basket being Cardano (ADA), which slipped nearly 40% in Q2 and is down more than 56% year to date. Ethereum and XRP lost 24.66% and 20.79% of their values, respectively, while Solana’s dip was more modest in comparison at 10.87%, although YTD it registered a more significant 40.61% plunge.

Bitcoin itself just suffered its worst June in four years after falling below $60,000 and was about 49% off its October 2025 all-time high of over $126,000 at the time of writing, stretching the downturn to about nine months.

But there were two assets in the Large Cap Crypto Index that bucked the downward trend: Hyperliquid (HYPE) and Stellar Lumens (XLM), with the former going up 79% and the latter over 10%. However, year-to-date XLM dumped 6.71% while HYPE still stayed green, surging by nearly 158%.

A separate report from CryptoQuant indicated that about 40% of altcoins are trading near their all-time lows, a share that climbed toward 45% when BTC broke below the aforementioned $60,000.

Per the Bitwise market review, on-chain activity, trading volume, and the total value locked (TVL) in DeFi also slipped. But it was not all doom and gloom, as prediction market volumes reached a record $43.2 billion during the quarter, which is almost 18 times higher than the year before.

Meanwhile, tokenized real-world assets have gone up more than 50% so far this year to nearly $33 billion, and crypto-focused equities have also outperformed the wider digital asset market, with the Bitwise Crypto Innovators 30 Index gaining 30.6%.

The asset manager also noted that stablecoins settled 2.3 times more value than Visa and collectively hold more US Treasuries than the likes of Norway, India, Brazil, and Saudi Arabia. Further, it pointed out that revenue generation among crypto applications has become more concentrated, with Hyperliquid, PancakeSwap, and Aave each producing roughly $900 million over the past year.

A Market Twice the Size It Was at the Last Bottom

When Bitwise compared current activity levels to the same point in the 2022 cycle, the difference stood out away from the price charts. For instance, Ethereum transaction counts ran about 13 times higher, and DeFi TVL sits more than 60% above the level from that period. Additionally, stablecoin assets under management have doubled.

According to the report, only prices have failed to keep pace with the increasing usage and infrastructure, with the market now valuing crypto at levels associated with the last bear market, even though the industry is operating at almost twice the scale it had reached then, and there is greater liquidity and clearer participation from traditional finance firms.

The post Bitwise Report: Crypto Fundamentals Are Getting Stronger Despite Third Straight Negative Quarter appeared first on CryptoPotato.

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Five Democratic senators have called for committee hearings “to investigate the national security implications of President Trump’s cryptocurrency holdings” as the chamber considers digital asset market structure legislation.

In a Friday notice, the Democratic ranking members of five US Senate committees and subcommittees asked lawmakers to address President Donald Trump’s 2025 financial disclosure, in which he reported earning about $1.4 billion connected to crypto ventures like his memecoin and family’s World Liberty Financial platform. The lawmakers said that the reports “heighten concerns about the President pushing Congress to pass crypto legislation in favor of the very industry he’s cashing in on,” referring to the Digital Asset Market Clarity (CLARITY) Act, on which the Senate is expected to vote this month.

“We call on our respective Committees to hold hearings to investigate the national security implications of President Trump’s cryptocurrency holdings, including the influence of the [United Arab Emirates] or unknown third parties on President Trump’s actions,” said the notice.

Senator Richard Blumenthal, one of the Democrats who called for hearings into Trump’s ties to crypto, speaks to CNN’s Anderson Cooper on Thursday. Source: Richard Blumenthal

As members of the minority in both the Senate and House of Representatives, Democrats have less authority to hold their own hearings and oversight without Republican support. However, Senate rules require 60 votes to end a filibuster and advance a bill, meaning that Republicans will need help from some Democrats to pass CLARITY.

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Related: Donald Trump says ‘nothing wrong’ with $1.4B crypto windfall while in office

Some Senate Republicans, like Cynthia Lummis, continue to push for CLARITY to pass even as many Democrats signal they will withhold support without clear ethics provisions. Representative French Hill, who chairs the House Financial Services Committee and helped the bill pass in the House in 2025, said that Trump’s ties made passing legislation “more complicated.”

CBDC ban to become law after Trump’s refusal to sign bill

The notice from Democrats came just hours before a bill barring the Federal Reserve from issuing or creating a central bank digital currency (CBDC) until Dec. 31, 2030, is expected to become law on Saturday. Trump canceled the signing ceremony for the bipartisan housing bill containing the CBDC ban and did not issue a veto of the legislation, leaving the measure to automatically become law after 10 days.

Magazine: Crypto’s CLARITY Act faces partisan fight over ethics on Senate floor

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