Crypto World
Bitcoin Price Stabilizes Near $75,900 After 4% US-Session Drop
Bitcoin price fell 4% in US trading and stabilized at around $75,900 as of 8 a.m. in London. The decline came after the US failed to advance a key crypto regulatory bill, weakening industry sentiment ahead of a potential Federal Reserve interest-rate hike.
The combination puts regulatory developments and monetary policy at the center of the market backdrop. We see that the whole crypto market was also weaker after steep declines during the US session.
The immediate regulatory issue was the US failure to advance a key crypto bill. Reuters had reported before the vote that the Senate was preparing to take a procedural vote on the Clarity Act, a measure that could help determine the bill’s fate. The legislation would address legal ambiguity around whether tokens qualify as securities or commodities, according to Reuters.
That setback arrived while investors were also assessing the prospect of higher US interest rates. Bloomberg described the regulatory disappointment as weighing on sentiment just ahead of a potential Fed hike. The two developments provided the context for Bitcoin’s US-session decline and the broader weakness across crypto assets.
Reuters reported on Sept. 14 that traders assigned an 85% likelihood to a rate hike on Wednesday following hot inflation data. That figure was a snapshot of expectations reported at the time, rather than a permanent measure of market consensus.
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What the Rate Odds Do, and Do Not?
Rate probabilities reflect market pricing and can change as new economic information arrives. CME FedWatch says its probabilities of future Federal Reserve target-rate changes are implied by prices for 30-Day Fed Funds futures. Its methodology makes it a reference for how interest-rate traders are pricing upcoming policy decisions.
The available reporting supports the existence of elevated hike expectations, but it does not establish a precise causal chain between any one market variable and Bitcoin’s 4% decline. The reported backdrop was a potential rate increase alongside the failure to advance the US crypto bill.
Reuters also noted that elevated inflation had raised expectations of a Fed hike and that long-end bond yields were nearing 5%, creating more competition for capital. The report described a rate increase as a challenge for speculative assets, including Bitcoin.
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The Next Bitcoin Price Test
The Federal Reserve decision is the next scheduled policy event highlighted in the reporting. The decision would test the optimism that had returned to Bitcoin after its late-August rebound. Bloomberg similarly identified a potential Fed rate increase as an immediate source of pressure for the crypto market.
The regulatory question remains separate from the rate decision. The failed effort to advance the bill leaves the legislation’s future unresolved, while the Fed’s policy decision concerns the interest-rate outlook. Together, those issues frame the near-term conditions facing Bitcoin after its decline in US trading.
Bitcoin’s level near $75,900 at 8 a.m. in London marked the point of stabilization reported by Bloomberg. The broader crypto market, however, remained weaker after the steep US-session declines.
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Phemex CEO Federico Variola has taken a critical stance on AI’s growing role in crypto, arguing that the technology is currently acting more like a drag than a catalyst for the sector. In comments on Cointelegraph’s Chain Reaction, Variola said AI has redirected liquidity away from crypto and intensified security risks—especially for smaller teams that cannot easily absorb rising defense costs.
While Phemex earlier this year outlined an AI-led shift in its own product and internal workflows, Variola’s latest remarks expanded the focus to the wider industry. He suggested the net effect of AI may be to push crypto further toward centralization rather than strengthening decentralization.
Key takeaways
- Variola argues AI is diverting capital from crypto to other sectors while simultaneously increasing the power of threat actors.
- He warns that higher cybersecurity burdens may concentrate security capacity among well-funded entities, potentially encouraging centralization.
- Recent crypto incidents have been linked by industry figures to AI-enabled tactics, raising the perceived baseline risk for both self-custody and DeFi.
- Even so, Variola sees practical uses for AI agents in portfolio support and decision-making, while stopping short of expecting full replacement of human judgment in trading.
Why Variola says AI is a “net negative”
Speaking during the episode, Variola said it is hard to be bullish about AI within crypto because it changes incentives on both sides of the equation. According to him, liquidity has been significantly rerouted into AI-related activity, reducing the competitive attention and funding available to the crypto industry itself.
At the same time, Variola argued AI is accelerating adversarial capabilities. In his view, AI is not simply raising the technical quality of code—it is also helping attackers exploit protocols and scale tactics that rely on automation, speed, and sophistication.
“It’s difficult to envision a world in which AI is going to favor crypto specifically as an industry, since a lot of the fixes that we see actually encourage more centralization rather than less centralization.”
For investors and builders, the core tension in Variola’s argument is straightforward: if staying safe increasingly requires large security budgets, then the economic pressure to centralize operations may intensify. That matters for an industry whose claims to value often depend on decentralization and broad participation.
Security pressure as AI changes the threat landscape
Variola’s skepticism lands alongside a period in which AI has repeatedly entered discussions around crypto security incidents. One example cited in the broader conversation is a July incident in which attackers reportedly drained roughly $116 million in Bitcoin from more than 5,200 addresses tied to a Coldcard hardware wallet flaw. The report framework around that incident has widely been tied—at least in industry narratives—to the malicious use of AI.
Coinkite CEO Rodolfo Novak also publicly warned developers at the time that the “sober reality” is that AI-assisted code review can uncover bugs faster than even experienced teams can keep up with. That perspective aligns with Variola’s concern: the same speed and scale that makes AI useful can also shorten the window between vulnerability discovery and exploitation.
Variola explicitly tied these risks to the economics of security staffing. He said small protocol teams may no longer be able to function effectively without “a massive cybersecurity budget,” implying that defensive measures may become structurally out of reach for many decentralized projects.
The stakes are not limited to protocol-level vulnerabilities. Variola also suggested that AI-driven threats could reduce the appeal of self-custody and decentralized finance for everyday users. He argued that as AI becomes more pervasive, attacks may increasingly take the form of device compromises or social engineering campaigns—conditions that could raise the number of risks retail users must actively manage.
“As AI becomes more pervasive, and whether it is your devices being hacked or social engineering, or all these kinds of strategies that are empowering threat actors, that makes DeFi a lot less appealing for a retail user because you have to worry about so many things that you didn’t have as much before.”
Defensive AI exists—but the trade-off may still be hard
Not everyone in the security community shares the same level of pessimism. The article notes that security experts have also highlighted AI’s defensive potential. For example, CertiK senior blockchain investigator Natalie Newson told Cointelegraph in April that “AI can also be one of the biggest defenses,” even while warning that attackers are simultaneously becoming more sophisticated.
This is a critical nuance for readers: the debate is not simply whether AI helps attackers or defenders. It is about pace, cost, and who can afford to respond quickly. If attackers can iterate faster while defenders face rising operational expenses, the overall balance may still tilt toward the party with resources—whether that is a centralized service, a large security team, or an entity able to purchase rapid incident response.
That framing supports Variola’s larger thesis: even if AI improves security tools, the resulting “fixes” may require organizational scale that decentralized projects struggle to replicate.
Where Variola sees room for AI in crypto
Despite his broader caution, Variola said he sees tangible benefits in AI agents—specifically for user-facing assistance such as helping investors build portfolios or improving trading decisions. However, he emphasized that these tools should be treated as decision support rather than autonomous replacements.
In his words, users would remain responsible for the final action: AI agents might help with information processing, strategy framing, or execution context, but they are not expected to fully replace the judgment involved in taking a trade.
For market participants, this distinction may be practical. Portfolio guidance and workflow automation can reduce friction for retail users, but security and risk management still depend heavily on human oversight—especially in a threat environment Variola describes as increasingly shaped by social engineering and device compromise.
As AI adoption accelerates across crypto platforms, readers should watch two closely connected questions: whether AI-enabled defenses meaningfully reduce real-world exploit frequency, and whether the cost of those defenses pressures the ecosystem toward larger, more centralized operators. The answers will likely determine whether AI ultimately broadens participation—or quietly narrows it.
Bitcoin (BTC) mining sites have become some of the scarcest permitted power capacity in the United States. With 151 data center restrictions still active, AI developers face years of waiting to plug in anywhere new.
CoinShares cited at least 225 data center moratoriums or restrictions in its second-quarter mining report. The clampdown turns already energized capacity into a scarce asset.
States Are Closing the Door on New Power
The restrictions span 30 states, according to ElectricChoice tracking cited in the CoinShares report. Maine banned new data center construction outright in April.
CoinShares calls New York the most significant development. It paused environmental permits for facilities of 50 megawatts (MW) or more on July 14. Governor Kathy Hochul’s first statewide permit freeze runs for a year.
Restrictions have also spread at the county level across Ohio, Michigan, Georgia, and Indiana. More than a third of counties there have moved to limit development, according to the report.
Pennsylvania tightened review rules for large projects, while Texas halted new grid connections pending an audit.
New York exempted permits it had already deemed complete, and similar carve-outs are common. A finished approval is now worth something that a newcomer has no way to obtain.
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What Bitcoin Miners Own That Nobody Else Can Get
The queue behind those rules is the harder problem. The US interconnection queue holds roughly 2,600GW, about double the country’s installed capacity.
Median waits from request to operation exceeded five years for projects completed in 2025, according to research from Lawrence Berkeley National Laboratory.
Texas shows the squeeze clearly. ERCOT’s own large-load queue data put data centers at 87% of 410 GW. In PJM, projects entering service in 2025 averaged more than seven years from request to operation.
“The practical consequence is that an energised site cannot be recreated within any commercially relevant timeframe, regardless of capital available,” CoinShares added.
Existing space has tightened alongside it. CBRE recorded primary market vacancy at a record 1.4% at the end of 2025, despite supply growing by 36%, with vacancy falling to 0.3% in Northern Virginia by the first quarter of 2026.
Against that backdrop, a $3.5 billion purchase of three leased Northern Virginia AI facilities set a benchmark near $27 million per MW. Listed miners with energized but unleased capacity, in contrast, trade below $3 million per MW in some cases.
The two numbers are not directly comparable. One reflects facilities with leases in place, while the other reflects how the market values capacity that has none.
Conversion is not free. Retrofitting mining infrastructure to AI-grade costs an estimated $8 million to $15 million per MW, compared with $700,000 to $1 million to build it for mining.
“The direction of travel is clear: regulation and grid congestion have inverted the historic discount applied to mining sites, converting what was once viewed as stranded, low grade infrastructure into some of the scarcest permitted power capacity in the US,” the report mentioned.
Meanwhile, Washington has pushed back on the restrictions. President Donald Trump warned that towns that reject the facilities will end up backwards and poor, while Republicans fear a midterm backlash over the buildout.
Operators who can fund conversion and lock in tenants, therefore, stand to capture most of that premium. Grid access is the entry requirement, not the whole business.
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The post Bitcoin Miners Own Something AI Developers Can't Build Fast Enough appeared first on BeInCrypto.
Crypto World
Ethereum Price Prediction: ETH Shrugs Off CLARITY Act and Fed Decision, Could Break $3,000
Ethereum sits at $2,400, dropping a brutal 4% on the day amid its bullish price prediction a week earlier. The largest altcoin absorbed a legislative gut-punch and is staring down a Fed decision that would rattle most assets, yet whale wallets are still buying.
The CLARITY Act failed to clear the 60-vote cloture threshold in the Senate on Tuesday, triggering an immediate 5% drop toward $2,400 as regulatory clarity got pushed further down the road. Despite that, the setback hasn’t broken the underlying bid.
Exchange netflow data shows reserves falling by 159K ETH over five days, while wallets holding 10K-100K ETH, or the whale cohort, added roughly 200K ETH to their stacks over the past week. Retail, meanwhile, dumped about 192K ETH, continuing a distribution pattern that’s held since January.
Add in $121 million of spot ETH ETF inflows on Monday, and $216.4 million on Friday, and the divergence between institutional accumulation and retail selling becomes the real story heading into Thursday’s FOMC decision.
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Ethereum Price Prediction: Will ETH Hit $3,000 This Week?
ETH is consolidating in a triangle pattern between support at $2,405–$2,485 and resistance at $2,535–$2,600. The 20-day EMA near $2,425 has held as a floor through the recent pullback, and volume has stayed constructive rather than capitulatory, a sign this dip is more consolidation than reversal.
A decisive close above $2,600 would confirm the breakout, opening a run toward the $2,800–$3,000 zone that Bitget’s analysts are flagging as the next psychological target. If ETH instead grinds sideways, the $2,400–$2,550 range could hold until the Fed decision clears the calendar.
A break below $2,350 would invalidate the setup and reopen the August lows near $1,880. With a 92.3% priced-in probability of a 25bp hike per the CME FedWatch tool. Thursday’s outcome is largely baked in, and the real risk is the accompanying commentary. Full breakdown available in this Ethereum price prediction.
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LiquidChain Targets Early Mover Upside as Ethereum Tests Key Levels
ETH holders riding this consolidation are positioned reasonably well, but let’s be direct: a move from $2,400 to $3,000 on a trillion-dollar-plus asset is a solid 25% swing, not a multi-bagger. For traders chasing asymmetric upside, that math pushes attention toward earlier-stage infrastructure plays instead.
The Order rests. The architecture never sleeps. — LiquidChain (@getliquidchain) September 9, 2026
⟁https://t.co/vqvBcdSQYC pic.twitter.com/bNof4XHJ58
That’s the lane LiquidChain ($LIQUID) is building in. Liquid is a Layer 3 network fusing Bitcoin, Ethereum, and Solana liquidity into one execution environment. The presale is priced at $0.014956 with $960K raised so far.
Its pitch centers on a Unified Liquidity Layer and Single-Step Execution, letting developers deploy once and tap all three ecosystems rather than fragmenting liquidity across chains. Verifiable Settlement rounds out the architecture.
Research LiquidChain before the next price hike.
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The post Ethereum Price Prediction: ETH Shrugs Off CLARITY Act and Fed Decision, Could Break $3,000 appeared first on Cryptonews.
Benchmark 10-year government bond yields surged to decades-high levels across five major economies this week. The US and UK hit marks last seen in 2007, while Japan reached a level unseen since 1996.
Germany’s 10-year yield climbed to its highest point since 2009, while France’s reached a level not seen since 2008. Oil above $100 a barrel is reigniting inflation fears ahead of a cluster of central bank meetings this week.
A Synchronized Repricing
The moves mark one of the broadest bond selloffs in years. Renewed Middle East hostilities have pushed crude prices higher, threatening to reignite consumer inflation.
That pressure has pushed yields to levels Bitcoin has never seen since the asset’s creation.
Heavy government debt issuance is compounding the pressure. US bonds’ worst decade in more than two centuries adds to the supply investors must absorb. Japan’s debt load, above 200% of gross domestic product, leaves Tokyo especially exposed to rising borrowing costs.
Why Yield Matters
Higher long-term yields ripple into mortgage rates, corporate borrowing, and government budgets. Analysts single out France as the most exposed among major economies.
“The most vulnerable sovereigns are those combining large fiscal deficits, elevated debt burdens and reliance on external capital. France stands out among developed markets.”
Masahiko Loo, senior fixed income strategist at State Street Investment Management, told CNBC.
Markets are also bracing for the Fed’s rate decision this week, with traders pricing high odds of a hike. That could either steady or extend the global selloff.
The synchronized rise across the US, Europe, and Japan is not a single-country story. It reflects a broader repricing of sovereign risk and inflation expectations. Whether the trend stabilizes or accelerates further may hinge on how central banks respond in the coming days.
The post Not Just the US: Global Bond Yields Hit Multi-Decade Highs. Time to Worry? appeared first on BeInCrypto.
Google released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking on September 15, calling them its most advanced audio models yet.
The two models talk, reason, and handle tasks. But how do they rank with independent analysts? The Extended Thinking version topped Artificial Analysis’ Speech-to-Speech Index at 82.6, ahead of GPT-Live-1 and Grok Voice.
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How the Benchmarks Rank Google’s Newest Conversational AI Model
Artificial Analysis’s Index averages speech reasoning, agentic performance, arena preference, and task success rate.
Gemini 3.8 Live Extended Thinking, tested at high reasoning effort, debuted in first place. GPT-Live-1 Astra followed at 81.5 and Grok Voice Think Fast 2.0 High at 81.3.
The standard Gemini 3.8 Live placed fifth with a score of 76.0. Both variants beat Gemini 3.1 Flash Live High, which scored 71.5.
The agentic gap is wider. Extended Thinking reached 68.6% on the Tau Voice benchmark, against 37.7% for the previous generation.
On the speech reasoning benchmark, Extended Thinking scored 97.7%, edging Grok Voice at 97.2%. However, it trailed Qwen Audio 3.0 Realtime Plus, which scored 99.2%.
Human Testers Still Reach for the Older Gemini Model
Price is where the distance opens up. The standard model runs $0.84 per hour of input audio. That is roughly half its predecessor’s $1.75 and the Index’s cheapest rate.
Extended Thinking runs at $3.50 per hour. That undercuts GPT-Live-1 Sol at $4.47 and Grok Voice Think Fast 2.0 High at $4.80.
Latency fell as well. Average time to first audio dropped to 1.18 seconds, compared with 2.99 seconds for the older Gemini model.
Listeners, however, are not fully sold. Gemini 3.1 Flash Live still leads in preference in blind Speech Agent Arena conversations, with an Elo of 1096.
Gemini 3.8 Live sits second at 1083. The Extended Thinking variant trails at 990, despite completing 89.1% of its tasks.
Voice AI is now being graded on two scales that point in different directions. Benchmarks reward the model that reasons hardest. Preference rewards the one who talks best. Google is currently leading both, with different models.
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The post Google Just Released Its Most Advanced Audio Model. Here Is How It Ranks appeared first on BeInCrypto.
Fundstrat’s Tom Lee expects the Federal Reserve to raise interest rates by 25 basis points today, arguing the move could still spark a substantial equity rally rather than derail one.
The Federal Open Market Committee (FOMC), the Fed’s rate-setting panel, meets today, with a decision expected at 2 p.m. ET. Lee said the hike would remove pressure for further increases, a shift he called bullish for stocks, since it would send Treasury yields lower.
Why Lee Sees the Hike as Bullish
Lee said the Fed does not need to hike to curb inflation. He cited Goldman Sachs data on four temporary distortions, portfolio fees, flash memory, tariffs, and energy.
Together, they add 1.7 percentage points to headline Personal Consumption Expenditures (PCE) inflation.
Those distortions should fade within six months regardless of Fed action, Lee said. He estimated they could cut PCE by about 100 basis points on their own.
Still, Lee said the coming hike likely reflects market pressures rather than the Fed’s own read on the economy.
“I don’t know if the Fed really needs to accelerate that process.”
— Tom Lee, CNBC
Lee expects markets to treat the hike as the last of this cycle. He pointed to heavy cash on the sidelines and a string of down days as fuel for a rebound.
S&P 500 Target and the AI Trade
Lee reiterated his view that corporate earnings have not yet peaked. He pointed to depressed housing investment as room for growth, potentially adding $30 to $50 to S&P earnings.
He said the S&P 500 could top 8,200 by year-end, extending earlier bullish stock calls. Technology and software shares, he added, are leading the gains.
Lee added that artificial intelligence (AI) remains central to US economic growth, even as recent developments raise new safety and oversight questions.
Lee still expects a larger pullback later this year, tied to margin debt, leverage, and initial public offering (IPO) activity. For now, he said pessimism itself is why markets have not yet peaked.
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Crypto World
The Fed rate decision is shaping up to be a nightmare for Warsh. Bitcoin might still shine
According to Brooks, the primary narrative is not today’s anticipated rate hike, but rather the additional policy tightening expected later this year. Warsh may therefore struggle to deliver a message that aligns with the aggressive pricing currently seen in the markets.
“Tomorrow’s Fed meeting is a nightmare for Warsh. There’s no way he can live up to all the hikes priced, so the press conference will likely disappoint markets. The Dollar is likely to fall and long yields likely to rise,” Brooks said.
A weaker dollar typically supports dollar-denominated assets, including bitcoin and gold, reflecting a well-documented negative correlation between digital assets and the U.S. Dollar Index (DXY). Further, as Brooks noted, longer-duration Treasury yields are likely to rise if the press conference disappoints.
The yield catalyst
While rising yields are traditionally a bearish signal for non-yielding assets like bitcoin and gold, some observers note that the underlying driver matters. In this instance, yields are expected to climb due to an inflation signal from the Federal Reserve rather than an optimistic economic growth outlook, a crucial distinction that alters the typical market playbook.
According to a JPMorgan scenario analysis shared by Barchart, if the Fed hikes rates without delivering explicit, hawkish forward guidance, investors could conclude that current monetary policy remains too accommodative, prioritizing economic growth over restraining inflation.
Bitcoin (BTC) and Ethereum (ETH) spot ETFs shed a combined $592 million on September 15. Both products posted their deepest single-day outflows in months.
The outflows landed as the CLARITY Act failed to advance in the US Senate. The setback pulled prices lower, and capital followed them out.
Ethereum ETFs Record Their Worst Session Since January
Ethereum (ETH) funds lost $141.47 million, their largest daily outflow since January 30, according to SoSoValue data.
Nothing in that stretch came close. The worst session in between drained $136.4 million on March 19.
The selling followed four straight weeks of inflows. ETH products took in $1.94 billion over that run, peaking at $824.4 million in late August.
Bitcoin funds gave up $450.33 million, their worst session since June 25. Outflows hit $462.7 million last week, the heaviest since early July, after three weeks of heavy buying.
Trading volume told the same story. Bitcoin products saw turnover of $4.35 billion, compared with a 30-day average of $2.74 billion. Ethereum volume more than doubled its own baseline.
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Altcoin Funds See Mixed Performance
Hyperliquid (HYPE) was the only altcoin product to record an outflow. Its funds lost $3.89 million, extending a September decline of $18.04 million.
Four funds drew money in. Solana (SOL) ETFs led with $1.35 million. Tron (TRX), Dogecoin (DOGE), and Hedera (HBAR) added less than $500,000 each.
Six funds recorded no activity at all. BNB (BNB) XRP (XRP), Chainlink (LINK), Avalanche (AVAX), Polkadot (DOT), and Litecoin (LTC) all logged zero flows. The 11 altcoin funds ended the day with a combined net outflow of $1.66 million. They hold $3.55 billion between them.
Both ETH and BTC ETFs still sit in positive territory for September. Bitcoin funds hold a $17.1 million net gain month to date, while Ethereum funds carry $307.4 million. One session, however heavy, has not erased the month.
The Federal Reserve announces its rate decision on Wednesday, a second policy test within 24 hours.
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The post Bitcoin, Ethereum ETFs Bleed $592 Million as Clarity Act Fails in Senate appeared first on BeInCrypto.
Phemex CEO Federico Variola says AI has been a ‘net negative’ for crypto, despite the crypto exchange announcing an AI-focused transformation earlier this year.
Speaking on Cointelegraph’s Chain Reaction, Variola said AI has diverted capital away from the industry, while empowering attackers and driving up cybersecurity costs for smaller teams — pressures that risk pushing crypto toward greater centralization.
“It’s difficult to be bullish about AI in crypto,” he said. “Liquidity have been significantly diverted to to that industry on one side. On the other hand, AI has empowered a lot of bad actors that have been exploiting protocols.”
“It’s difficult to envision a world in which AI is going to favor crypto specifically as an industry, since a lot of the fixes that we see actually encourage more centralization rather than less centralization.”
Variola’s assessment offers a skeptical view of AI’s impact on crypto. It also comes after his crypto exchange announced an AI transformation in February, when he outlined plans to embed the technology across product development and internal operations, though his latest views focused on the broader crypto industry.
AI raises stakes for crypto security
Variola’s take also comes as AI has been linked to recent crypto exploits.
In July, attackers drained roughly $116 million in Bitcoin from more than 5,200 addresses affected by a Coldcard hardware wallet flaw that is widely believed to have been discovered through the malicious use of AI.
Coinkite CEO Rodolfo Novak warned developers at the time that the “sober reality” is that AI-assisted code review can now uncover bugs that outpace the industry’s most seasoned experts.
“AI has empowered a lot of bad actors that have been exploiting protocols, whether with social engineering or… finding vulnerabilities,” said Variola, adding that small teams working on protocols will no longer operate without a massive cybersecurity budget.
He also warned that the AI threats could make self-custody and decentralized finance less appealing.
“As AI becomes more pervasive, and whether it is your devices being hacked or social engineering, or all these kinds of strategies that are empowering threat actors, that makes DeFi a lot less appealing for a retail user because you have to worry about so many things that you didn’t have as much before.”
On the other hand, security experts have also highlighted AI’s defensive potential. CertiK senior blockchain investigator Natalie Newson told Cointelegraph in April that “AI can also be one of the biggest defenses,” even as she warned that the technology was making attacks more sophisticated.
Despite his assessment of AI’s overall impact, Variola said he sees practical benefits with AI agents, specifically to help investors build a portfolio or help them make better trading decisions. However, Variola said he did not expect AI agents to fully replace human trading decisions.
“At the end of the day, still it will be up to the user to make the final decision. So I don’t think that agents will ever replace that action of taking the trade.”
Magazine: Why are AI’s biggest companies suddenly asking to slow down?
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