Crypto World
Crypto Firms Ask AI Companies for Early Access to Bitcoin Devs
A coalition of crypto companies and industry groups has asked frontier artificial intelligence (AI) labs to provide Bitcoin developers and other open-source “defenders” early access to their most capable models. The request comes in a letter published Monday by the Bitcoin Policy Institute (BPI), arguing that current access arrangements can leave critical infrastructure teams operating behind the pace of rapidly advancing AI-assisted cyber capabilities.
In the letter, signatories say many defenders—including Bitcoin Core developers—can be limited by the absence of dedicated “trusted-access programs” and by guardrails applied to publicly available frontier systems. As a result, they contend that qualified teams may be forced to rely on less capable open-weight models, even as attackers may use more powerful AI tooling to probe for weaknesses.
Key takeaways
- The Bitcoin Policy Institute letter calls for “standing trusted-access programs” so open-source financial infrastructure defenders can use top-tier frontier AI before widespread public release.
- Signatories argue that guardrails and limited access to advanced models can hinder security research and response for Bitcoin and broader crypto systems.
- The letter links the push to the rising scale of AI-enabled vulnerability discovery and threats, citing multiple reports from open-source maintainers.
- Industry data referenced in the letter points to a sharp jump in monthly crypto hacks, with April 2026 losses exceeding $634 million.
- The coalition includes major ecosystem participants such as Anchorage Digital, BitGo, Bitwise, Blockstream, Kraken, Ledger, and Trezor, among others.
Why the letter centers on “trusted access”
The BPI says the economics of security research and cyber operations are shifting as frontier AI models become more capable. According to the letter, advanced systems can search large codebases, surface potential weaknesses, and compress timelines for complex technical work—benefits that apply not only to attackers, but also to defenders responsible for maintaining open-source financial infrastructure.
Without early, dedicated access programs, the letter warns that defenders may struggle to keep pace with evolving threats. It also argues that cyber incidents exploiting open-source vulnerabilities can translate directly into real-world harm, including the risk of losing “life savings,” given how widely open-source software underpins digital finance.
To address this asymmetry, the letter asks frontier AI labs to “establish or expand standing trusted-access programs” for qualified open-source defenders. The focus is less on broad public access and more on structured access channels for teams charged with safeguarding infrastructure.
What data and security commentary are used to support the case
The letter points to recent increases in hack activity across the sector. It cites DefiLlama data showing that total monthly crypto hacks surged in April 2026, with malicious actors stealing more than $634 million from cryptocurrency platforms—described as the highest monthly total since the Bybit hack. That earlier incident, the letter notes, contributed to losses of roughly $1.4 billion in February 2025, again according to DefiLlama.
In addition to incident volume, the letter frames AI as a force multiplier for vulnerability discovery. It references concerns raised across the crypto security industry as newer AI systems make it easier to automate parts of the probing and exploit development cycle.
Earlier coverage cited within the letter highlights comments from Mitchell Amador, CEO of bug bounty platform Immunefi, who characterized the moment as a “vulnerability apocalypse” in relation to developments in AI-assisted research. The letter also mentions the emergence of newer frontier models—described in the article as Claude Opus 4.8 and ChatGPT 5.5—as part of the broader shift raising security stakes.
Who signed the request
The open letter is co-signed by a broad cross-section of the crypto industry, signaling that the concern is not confined to one segment of infrastructure. Alongside the Bitcoin Policy Institute, the signatories include organizations such as the African Bitcoin Institute, Anchorage Digital, BitGo, Bitwise, Blockstream, Bull Bitcoin, MARA, Kraken, Ledger, and Trezor, among others.
By bringing together companies spanning custody, exchanges, analytics, wallet infrastructure, and Bitcoin-focused organizations, the letter underscores the “system-wide” nature of the risk it describes: open-source code and shared software dependencies can affect multiple products, operators, and user bases at once.
Implications for Bitcoin developers and the broader security community
If frontier AI labs establish or expand trusted-access programs as requested, the most immediate practical impact would be on the speed and effectiveness of defensive work around open-source financial infrastructure. In the letter’s framing, having early access to capable models could improve how maintainers audit code, identify potential weaknesses, and respond to new exploit techniques.
The request also highlights a tension that many in security research recognize: attackers may benefit from advanced tools faster than defenders can. By arguing that public guardrails and limited availability of powerful models can block legitimate defense work, the letter effectively calls for a policy-like solution—one that treats certain defenders as authorized users of frontier capabilities.
At the same time, it remains unclear what “standing trusted-access programs” would look like in practice, including how labs would vet applicants, what models would be shared, and how output would be handled. The letter is a policy request rather than a technical specification, so builders and investors should watch for follow-up actions that clarify implementation details.
For now, the key signal is the coalition’s insistence that time-to-defense matters as AI capabilities scale—especially as hack activity remains elevated and AI-assisted vulnerability discovery accelerates. The next phase will likely involve whether frontier AI labs respond, and whether any program structures emerge that could help Bitcoin and other open-source maintainers close the gap between defensive capacity and adversarial capability.
Crypto World
ChatGPT AI Predicts Bitcoin Will Test This Level Before The End of 2026
Bitcoin has already been cut nearly in half from its 2025 peak. ChatGPT AI predicts the punishment may end with an explosive reversal, with its latest Bitcoin price prediction targeting $120,000 by the end of 2026 and a stretch toward $140,000.
The call from Sam Altman’s OpenAI chatbot asks Bitcoin to nearly double from $63,593. That sounds aggressive until you look at where the money could come from.
US spot Bitcoin ETFs have already absorbed roughly $52.1 billion in cumulative net inflows, including 5 straight positive sessions from August 3-7. The SEC’s approval of in-kind creations and redemptions also gives institutional investors a more efficient route into crypto ETFs.

Washington is shifting too. The US Strategic Bitcoin Reserve keeps reserve BTC off the market while directing Treasury and Commerce officials to explore budget-neutral ways of acquiring more Bitcoin.
Then there is the retirement market. Digital assets now have a wider path into 401(k) portfolios, while further progress on the CLARITY Act could strip away another layer of regulatory uncertainty.
Bitcoin only has 21 million coins. Put stronger ETF accumulation, broader retirement access and easier monetary conditions against that fixed ceiling, and the supply-demand equation can change fast.
But the trade can break the other way. High rates, recession pressure or sustained ETF withdrawals could trap Bitcoin below $70,000 and send it back toward $50,000-$55,000.
[crypto-chart coin=”bitcoin”]
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AI Predicts Bitcoin Price: BTC Has to Escape the $60,000s First
The chart makes ChatGPT’s $120,000 target look distant. Bitcoin has fallen from above $120,000 and spent months printing lower highs before finally finding buyers around $60,000.
That selloff has now given way to a tight base around $60,000-$66,000. Holding $60,000 keeps that base alive, while $68,000-$70,000 is the first serious barrier bulls need to reclaim.

Bitcoin closed at $63,593, down 0.50% on the day after trading between $63,174 and $64,447. Above $70,000, the chart opens toward the previous $76,000-$82,000 recovery zone.
RSI reads 46.55 against a 49.82 signal line. That 3.27-point deficit puts sellers slightly ahead, but neither side has enough momentum to control the market decisively.
For now, Bitcoin is compressing rather than collapsing. A clean break from this base would be the first chart signal that ChatGPT AI’s road toward $120,000 has actually begun.
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Bitcoin at $120,000? Kalshi Lets Traders Put a Price on the Outcome
Forecasts are easy to publish. Kalshi turns them into markets where traders can take a position on what actually happens.
That makes a call like ChatGPT AI’s $120,000 Bitcoin target more than something to debate. Traders can use prediction markets to gauge how real money prices future crypto outcomes, alongside elections, economics, technology and other major events.
For readers watching whether Bitcoin can turn this $60,000 base into a six-figure comeback, Kalshi offers another signal worth following: what the market itself is willing to bet on.
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The post ChatGPT AI Predicts Bitcoin Will Test This Level Before The End of 2026 appeared first on Cryptonews.
Crypto World
Solana platform taps prediction market Kalshi for Wall Street-style high-speed data feed
The growing presence of financial institutions in cryptocurrency brings with it increasing demand for Wall-Street style systems in digital asset markets, such as servers that offer split-second advantages when executing trades.
Solana-based DoubleZero looks to meet that demand by adding prediction market Kalshi’s order book to its low-latency market data feed.
The DoubleZero Foundation said this will provide trading firms with a machine-readable view of a prediction market for pricing, hedging and signal generation on Solana, one of the major layer-1 blockchains.
The foundation described DoubleZeroEdge as a transport layer, sending live exchange and onchain data over dedicated fiber, publishing the data and distributing it simultaneously to all connected traders.
In traditional finance (TradFi), institutions use specialized networks to access data at high speed, whereas in crypto, traders still largely rely on the internet. DoubleZero attempts to address that through a bespoke onchain system.
“This is the same distribution model that has underpinned traditional financial exchanges, from NYSE to Nasdaq to the CME, for decades,” the foundation said in an emailed announcement on Wednesday.
Crypto World
How to Tell If You’re Trauma Dumping or Just Venting
“It’s not about not talking about problems,” says Stephanie Mahalec, a therapist in Los Angeles. “Talking about problems is a very important part of relationships. It’s just how you talk about it.”
Here’s how to tell when trauma dumping might be reaching unhealthy levels in a friendship or relationship, according to therapists—and how to repair.
There’s no room for the other person to set a boundary
Asking whether someone has time to listen is considerate. It can be as simple as: “Do you have a minute? Can I vent about something?”
Dr. Hans Watson, a psychiatrist in South Jordan, Utah, recommends taking into account the time, place, and audience. Is this a workable moment? Is this an appropriate setting? Is this someone you ordinarily talk to about personal things?
With some relationships, that understanding is already in place. If you and a close friend routinely call each other when life falls apart, you probably don’t need to renegotiate the terms every time. And if you forget to ask permission during an especially painful moment, that alone does not make the conversation a trauma dump. “One conversation or one trauma dump is not a problem,” Groskopf says. “We’re all human.”
Crypto World
Harmony Patches Pre-Staking Quorum and Receipt-Replay Flaws After ONE Mint Claim

Harmony released a mainnet patch on Aug. 12 that changes two verification paths after reports of an unauthorized ONE mint: a quorum check affecting pre-staking-epoch committees and a cross-shard receipt mechanism that could apply the same transfer more than once. The v2026.1.1 release came after… Read the full story at The Defiant
Crypto World
Google Pixel 11 Launch Disappoints as Alphabet Stock Falls
Google has unveiled the Pixel 11 lineup, but the new phones arrive with unusually modest hardware upgrades, higher prices, and even a downgrade in RAM on some models.
The Pixel 11, Pixel 11 Pro, Pixel 11 Pro XL and Pixel 11 Pro Fold bring Google’s new Tensor G6 chip and several AI-powered software features. However, the physical changes are limited compared with previous generations.
What is Changing on the Google Pixel 11 Lineup
Some of the main hardware changes include:
- The standard Pixel 11 gets a 56% larger main camera sensor, faster 25W wireless charging and a smaller camera bump.
- Battery-life claims remain largely unchanged from last year.
- Most camera sensors are unchanged, while Google has not announced any meaningful graphics-performance improvement for Tensor G6.
- The Pixel 11 Pro gets a brighter display and a 30% larger telephoto sensor, but its main camera specifications remain largely similar.
- The Pro models now start with 12GB of RAM, down from 16GB on last year’s starting configurations.
- Google also removed the body-temperature sensor and replaced it with a new LED-based “Highlight” notification feature.
The biggest change may be the price.
The Pixel 11 starts at $899, up from $799. The Pixel 11 Pro starts at $1,099, while the Pro XL rises to $1,299.
The Fold also gets a $100 price increase despite keeping the same 256GB starting storage.
Why Google Is Cutting Back on Hardware
The weak upgrade cycle comes as smartphone makers face a global memory shortage driven by the AI boom.
AI data centers consume huge amounts of high-bandwidth memory, server DRAM and enterprise storage. Memory makers such as Samsung, SK hynix and Micron are therefore shifting more production toward higher-margin AI hardware.
That has made smartphone memory significantly more expensive.
TrendForce estimated that LPDDR5X mobile memory contract prices jumped 78% to 83% quarter-on-quarter in Q2 2026.
Earlier data showed the cost of an 8GB RAM and 256GB storage configuration had already risen close to 200% year-on-year.
Manufacturers are responding by cutting memory specifications, increasing prices or limiting hardware upgrades.
Alphabet Shares Reverse Early Gain
Alphabet shares initially rose about 0.6% at Wednesday’s market open, briefly approaching a 1% gain.
However, the stock later reversed course and fell about 0.2%, even as the broader Nasdaq remained higher.
There is no evidence that Pixel 11 reviews caused the decline. Still, the early reversal comes as Google asks consumers to pay more for phones whose biggest improvements increasingly come from software and AI rather than new hardware.
The post Google Pixel 11 Launch Disappoints as Alphabet Stock Falls appeared first on BeInCrypto.
Crypto World
Lumentum Stock: Lumentum Earnings Top Estimates As New Products Ramp
Lumentum Holdings (LITE) reported fiscal fourth-quarter earnings and revenue that topped consensus estimates amid high expectations. The company’s fiscal first-quarter 2027 guidance for Lumentum stock came in slightly above views. The company reported fiscal Q4 earnings after the market close on Tuesday. “Lumentum reported a quarter with revenue effectively in-line and gross margin above, the same dynamic in the prior…
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Crypto World
Crypto Long & Short:
That is the flaw volatility exposes. Markets have become faster, more global and more interconnected, while capital movement remains slow and fragmented. Closing that gap requires a different way of thinking about cash, collateral and settlement.
Stablecoins are no longer peripheral
Settlement remains one of the weakest links in capital markets. Institutions can execute trades globally in milliseconds, but the transfer of value that supports those trades can still take days. That delay creates funding pressure, operational risk and unnecessary capital drag.
This is where stablecoins become relevant to institutional markets. Strip away the noise and the use case is straightforward: they allow cash-like value to move with the speed and programmability of digital assets. For firms still working around T+1 or T+2 settlement, nostro and vostro accounts, and hard cut-off times, that is not a marginal improvement. It changes what is operationally possible.
The market has already moved beyond theory. Stablecoin market capitalisation is now around $320 billion, and recent industry data points to record levels of on-chain transfer activity. The more important point, however, is not the headline number. It is that regulated institutions are beginning to treat stablecoins and tokenised cash as settlement infrastructure rather than crypto-market curiosity.
Crypto World
Perplexity AI Predicts an XRP Scenario Few Analysts Are Discussing
A 70% rally from here would only get XRP to the middle of Perplexity’s target range. Perplexity AI predicts XRP can reach $1.60-$2.20 by the end of 2026, with its latest XRP Price Prediction settling on $1.75 as the most likely bullish target.
That is a bold reversal call with XRP sitting at $1.0235. Perplexity co-founder and CEO Aravind Srinivas’s AI sees legal clarity, institutional products and real network demand as the fuel.
Ripple’s ongoing court settlement progress could finally shrink the legal discount that has followed XRP for years. Clearer US crypto rules would give the market one less reason to price in regulatory risk.

An XRP-specific ETF or institutional product launch could bring fresh capital into the asset. Rising on-chain demand from exchange wallets and treasury inflows would add something even more important: evidence that XRP is being used, not merely traded.
Get those pieces moving together and $1.60-$2.20 stops looking absurd. The model puts $1.30-$1.50 closer to its base case, with $1.75 its preferred bullish year-end target.
The bear case is already knocking. A negative SEC outcome or delayed regulatory milestones could break $1.20 support and expose the $1.05-$1.15 region, levels XRP is already trading below.
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AI Predicts XRP: Ripple Is Running Out of Room Near $1
The chart tells a much uglier story than the forecast. XRP has collapsed from above $3.00, carved out a long sequence of lower highs and now sits just above the psychologically important $1.00 mark.
There is no convincing reversal yet. The structure still resembles a descending trend grinding into support, with $1.00-$0.99 acting as the immediate floor and $1.10-$1.20 forming the first meaningful resistance zone.

XRP closed at $1.0235, up 1.20% for the session after trading between $0.9905 and $1.0257. That intraday recovery kept $1.00 alive, but one green candle does not erase months of selling.
RSI sits at 38.94 while its signal line reads 41.20. The 2.26-point gap keeps momentum tilted toward sellers, although XRP has not yet entered deeply oversold territory.
This is where Perplexity AI’s $1.75 call gets tested. XRP first needs to stop defending $1.00 and start attacking $1.20 before a run toward $1.60-$2.20 deserves serious attention.
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Bitcoin Hyper Takes the Opposite Side of the Crypto Speed Problem
XRP’s thesis depends heavily on institutional access and clearer rules. Bitcoin Hyper attacks a different bottleneck: making Bitcoin useful for faster, cheaper on-chain activity without abandoning the network that made it valuable.
Bitcoin Hyper combines Bitcoin Layer 2 infrastructure with the Solana Virtual Machine, bringing high-speed execution, low fees and smart contract functionality into a Bitcoin-focused ecosystem. Its Canonical Bridge is designed to move BTC between Bitcoin and the Layer 2, while decentralized governance gives the network a path beyond centralized control.
That creates a sharper proposition than simply betting on another standalone chain. Bitcoin Hyper is effectively betting that Bitcoin’s next chapter is not just about holding BTC, but actually putting that capital to work.
For investors watching whether the next crypto expansion reaches beyond simple price appreciation, Bitcoin Hyper puts that thesis front and center.
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The post Perplexity AI Predicts an XRP Scenario Few Analysts Are Discussing appeared first on Cryptonews.
Crypto World
Commodities Trader Marex Jumps 13% On Earnings, Flashes Buy Signal
Commodities Trader Marex Jumps 13% On Earnings, Flashes Buy Signal
Crypto World
Congress Pushes Odds of a Government Shutdown to December as Bitcoin Watches
The House passed a stopgap funding bill 220-205 on July 21, moving its proposed government-funding deadline from September 30 to December 4 and placing it after the midterms. This has led to the odds of a Government shutdown happening across all predition markets.
But that is no longer the full picture: on August 8, the Senate passed its own version 90-6, extending funding through December 11 instead. The two versions still need to be reconciled, meaning Congress has moved closer to avoiding an October shutdown without yet completing the process.
For Bitcoin traders, that distinction matters. The immediate September 30 cliff looks less threatening, but the underlying funding fight has largely been pushed deeper into the year rather than eliminated.
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Odds of a Government Shutdown: A Rescheduled Fight, Not a Settled One
The disputes behind the funding deadline were not settled by the July House vote. The House measure simply extended current funding largely at existing levels through December 4, while the Senate’s subsequent version would run through December 11 and contains provisions absent from the House bill.
The Senate bill also restricts the administration’s ability to redirect certain funds and temporarily blocks a White House rule requiring political review of federal grants. Those differences mean the legislation must return to the House before it can reach President Trump’s desk.
Meanwhile, House Republicans have separately advanced a $95 billion budget plan covering Iran-related defense and intelligence spending, farm assistance and parts of President Trump’s election-law agenda. The baseline appropriations fight has therefore been postponed rather than permanently settled.
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What the Prediction Markets Are Saying
Kalshi and Polymarket run event contracts that pay according to whether defined outcomes occur under each market’s resolution rules. The October 1 shutdown market therefore measures whether a shutdown occurs around that specific deadline, not whether another funding confrontation emerges in December.

That distinction has become even more important since the Senate vote. With both chambers now backing temporary funding beyond the midterms, the probability of an October shutdown should not be treated as a proxy for the broader probability of another fiscal confrontation later in 2026.
Prediction markets have also proved highly sensitive to congressional developments during previous funding fights. The Department of Homeland Security shutdown that began February 14, for example, generated large swings in contracts tracking when funding would return as negotiations evolved.
Why Bitcoin Traders Are Watching December Aside from the Odds of a Government Shutdown
Shutdown risk can matter for crypto because fiscal uncertainty, liquidity expectations and broader risk sentiment can all influence Bitcoin. But the relationship is not mechanical, and a shutdown by itself does not guarantee either a Bitcoin rally or decline.
Arthur Hayes has separately argued that potential Federal Reserve intervention to support the Japanese yen could expand dollar liquidity and ultimately benefit Bitcoin. His broader liquidity thesis makes the policy response surrounding fiscal or monetary stress potentially more important for Bitcoin than the political event itself.
A December funding standoff would also arrive after the midterm elections and during year-end market positioning. For traders considering a liquidity-driven framework, the key issue is therefore not only whether a shutdown occurs, but what fiscal and monetary conditions develop around it.
Bitcoin’s Other Near-Term Catalysts
On August 12, Bitcoin remained below $65,000 after briefly reaching about $65,200 earlier in the week. The congressional funding timeline is only one of several macro variables influencing the market.
July CPI is due on August 12, leaving the Federal Reserve’s September decision sensitive to another inflation surprise. Market expectations remain divided over whether policymakers could raise rates again, meaning a hotter-than-expected inflation print could reset the rate outlook independently of developments in Congress.
The Strait of Hormuz relief trade has also unraveled after President Trump demanded decades of compensation from Iran, pushing oil prices higher. Bitcoin has struggled to establish a sustained move above $65,000 amid the renewed geopolitical uncertainty.
That leaves Bitcoin exposed to several simultaneous catalysts: inflation, Federal Reserve expectations, oil prices, Iran-related developments and the evolving U.S. funding negotiations. Any attempt to attribute its next move solely to shutdown odds would therefore oversimplify the macro picture.
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The post Congress Pushes Odds of a Government Shutdown to December as Bitcoin Watches appeared first on Cryptonews.
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