Crypto Industry News & Market Trends

Robinhood engineers charged over $50K crypto scheme

Federal prosecutors have charged two Robinhood engineers with commodities fraud and wire fraud after each allegedly earned more than $50,000 by trading crypto perpetual futures with confidential listing information.　　SummaryTwo Robinhood engineers allegedly traded before the company announced new cryptocurrency listings.Each defendant allegedly earned more than $50,000 through perpetual futures positions on Hyperliquid.Commodities fraud carries a maximum 10-year sentence, while wire fraud carries up to 20 years.The criminal complaints remain allegations, and both engineers are presumed innocent unless convicted.　　Robinhood engineers allegedly traded before listings　　The U.S. Attorneys Office for the Southern District of New York announced the charges against Hefu Chai, 36, and Huaisong Xiang, 30, also known as Jerry Xiang, on Sep. 15.　　Both defendants worked as engineers at Robinhood Markets during the alleged conduct. According to the criminal complaints, their jobs gave them access to confidential information about which cryptocurrencies Robinhood Crypto planned to add to its platform and when the listings would become public.　　Prosecutors allege that Chai and Xiang used the information between 2025 and 2026 to open perpetual futures positions linked to the planned listings. Rather than buying the underlying tokens, they allegedly placed the trades through Hyperliquid before Robinhood released its announcements.　　Discover more　　Engineering & Technology　　Digital Currencies　　Economics　　Once the listings

09-16Industry

CLARITY Act Isnt Dead, but Washington Is Running Out of Calendar

Key TakeawaysThe CLARITY Act fell 11 votes short Tuesday, losing its cloture vote 49-50.H.R. 3633 stays on the Senate calendar, allowing John Thune to try cloture again.Congress can revisit the CLARITY Act, but January 2027 brings a legislative reset.　　The Senate Never Even Got to Debate the Bill　　After more than a year of negotiations, committee work, and political horse-trading, the CLARITY Act made it to the Senate floor Tuesday afternoon. Then the door stayed shut. The 49-50 cloture vote wasnt a vote on whether H.R. 3633 should become law. It was a vote on whether senators should begin debating it at all.　　Sixty votes were required. Without them, debate doesn‘t begin, amendments don’t start flying, and theres no final-passage vote waiting around the corner. The House had already passed its version 294-134 in July 2025, while the Senate Banking Committee advanced the legislation 15-9 in May.　　Democrats were not having it. For instance, Senator Elizabeth Warren (D-MA) stressed on X:　　“Senate Republicans are trying to jam through a crypto bill that would let Trump continue lining his pockets off the crypto industry.”　　First, the CLARITY Act Stays on the Calendar　　Here‘s the strange part: losing cloture doesn’t formally kill H.R. 3633. The legislation remains Calendar No.

09-16Industry

Dense vs. MoE Models: Key Tradeoffs Developers Must Know

Iris Coleman　　Sep 15, 2026 19:36　　Exploring dense vs. Mixture-of-Experts (MoE) models for AI: when to prioritize simplicity or scalability, with insights on performance and memory trade-offs.　　NVIDIAs latest blog post, published on September 15, 2026, dives into the architectural trade-offs between dense and Mixture-of-Experts (MoE) AI models. These two dominant approaches to building large-scale language models (LLMs) offer distinct advantages depending on the deployment context, making this guidance highly relevant for developers and enterprises grappling with deployment choices.　　The core difference between dense and MoE models lies in parameter usage. Dense models activate all parameters for every input token, ensuring straightforward deployment and predictable performance. MoE models, on the other hand, use a routing mechanism to activate only a subset of parameters (called “experts”) per token, making them more efficient in compute-intensive scenarios but more complex to deploy and manage.　　Why MoE Models Are Gaining Traction　　MoE models like NVIDIA‘s Nemotron 3.5 Lightning and Google’s Switch Transformer offer scalability and throughput advantages by activating only a fraction of parameters per token. For instance, Nemotron 3.5 Lightning, a 30-billion-parameter model, uses just 3 billion active parameters per token while maintaining the capacity of the full model. This selective activation allows MoE models to decouple memory requirements

09-16Industry

BTC, XRP, SHIB Plunge After Clarity Failure: These Senators Voted Against It

Bitcoin, XRP and Shiba Inu are trading sharply lower after the U.S. Senate failed to advance the CLARITY Act, dealing a major blow to the cryptocurrency industrys push for comprehensive market structure legislation.　　The crucial procedural vote failed 49-50 on Tuesday. Supporters needed 60 votes to invoke cloture on the motion to proceed to H.R. 3633, meaning the legislation fell well short of the threshold required to move forward.　　The defeat added more pressure to an already weak cryptocurrency market.　　BTC, XRP, SHIB Plunge After Clarity Failure: These Senators Voted Against It　　Clarity Act Fails Again: What It Means for Crypto　　Bitcoin is currently trading near $76,000, down roughly 3.7% over the past 24 hours. XRP has suffered an even steeper decline, plunging more than 7% to around $1.30.　　Shiba Inu has also joined the selloff. SHIB is changing hands at roughly $0.00000513, down around 3.7% on the day.　　You Might Also Like　　Ethereum, Solana and other major cryptocurrencies are also in the red.　　These senators voted against CLARITY　　Perhaps the biggest surprise was the number of lawmakers who had previously participated in bipartisan crypto negotiations but ultimately voted against moving the bill forward.　　Several prominent Democrats who had spent months negotiating the legislation voted no, including Kirsten Gillibrand, Mark Warner,

09-16Industry

NVIDIA DSX Boosts AI Factory Efficiency with 24% Token Gain

Alvin Lang　　Sep 15, 2026 19:28　　NVIDIAs DSX platform improves AI factory efficiency, achieving 24% more token throughput in fixed power budgets, reshaping industrial AI.　　NVIDIA‘s push into industrial-scale AI continues to deliver measurable results. At the 2026 AI Infra Summit, the company revealed that its DSX MaxLPS platform increased token throughput by 24% at cloud provider Lambda’s AI factory, all within a fixed power budget. This breakthrough underscores NVIDIA‘s vision for ’AI factories as next-generation infrastructure where power efficiency defines productivity.　　Lambda‘s test environment, which spanned a 19-node NVIDIA HGX B200 GPU cluster, demonstrated how dynamic power allocation and workload optimization recover stranded capacity. By running 19 nodes at 85% power instead of 16 nodes at full power, the system boosted token throughput from 4 million to 5 million tokens per second, with performance per watt improving by 23%. This efficiency gain could scale up to 40% more GPU capacity in future facilities using NVIDIA’s Vera Rubin NVL72 architecture, set for deployment in 2027.　　Power constraints are a growing issue for AI infrastructure. NVIDIAs DSX suite—introduced earlier this year—addresses this challenge by optimizing energy use across compute, cooling, and grid interaction. DSX MaxLPS focuses on maximizing token production from a fixed energy supply, while

09-16Industry

Clarity Act Fails Again: What It Means for Crypto

The US Senate on Tuesday rejected a cloture motion that would have allowed the Digital Asset Market Clarity Act to move forward.　　The vote was on a motion to proceed rather than the legislation itself. This was a stunning loss for the crypto industry, which had exuded confidence that enough senators would vote to advance the bill.　　Heres what this means for the crypto industry.　　Clarity Act Fails Again: What It Means for Crypto　　XRP Fakeout Ruins Landmark XRP Ledger Momentum: Main Crypto News This Morning　　What is Clarity Act？　　The bill, introduced as H.R. 3633, would establish separate regulatory categories for digital commodities and digital securities.　　Digital commodities would generally include assets whose value is primarily linked to the use and operation of a blockchain network, while digital securities would cover assets associated with investment contracts and centralized development or control.　　Discover more　　News　　Brokerages & Day Trading　　Merchant Services & Payment Systems　　Under the proposed framework, the CFTC would oversee digital commodities, while the SEC would retain jurisdiction over digital securities.　　The legislation is intended to address one of the industrys longstanding regulatory questions: when a crypto asset should be treated as a security rather than a commodity.　　The House passed the legislation in July 2025 by 294 votes to 134. The

09-16Industry

Bitcoin, Ethereum And More Tumble As CLARITY Act Fails In Senate

Topline　　Major cryptocurrency assets slid Tuesday as the Senate failed to pass the Digital Asset Market Clarity Act, which seeks to create a federal regulatory framework for digital assets and faces opposition from some Democrats who say the legislations provisions are too weak.　　The CLARITY Act vote was held Tuesday afternoon.　　Photo by Justin TALLIS / AFP via Getty Images　　Key Facts　　The CLARITY Act, which needed 60 votes to pass the Senate, failed after a 49-50 vote was held.　　Bitcoin dropped 4.1% on Tuesday afternoon to around $75,000, falling to its lowest point in its last five days of trading.　　Ethereum fell over 5% to $2,397, also recording its lowest point in the same period.　　XRP tumbled 10.3% while meme coin DOGE dropped 5.6% and Solana fell over 4%.　　Some digital assets were spared from significant losses Tuesday afternoon, with Tether, Binance Coin and USD coin falling just a fraction of a percent.　　Big Number　　7%. Those are the Polymarket odds the CLARITY Act will become a law before the end of the year, dropping from the 18% odds it held Monday.　　What to watch for　　The CLARITY Act will have to be reintroduced to Congress at a later date after failing Tuesday, meaning it is seriously unlikely it will be presented

09-16Industry

Senate Blocks Clarity Act, Likely Killing It For 2026

Lawmakers blocked the Clarity Act on Tuesday a procedural vote, with the long-awaited legislation missing the 60 votes needed to advance it.　　Senators mostly voted against advancing the legislation — 49 for and 50 against — that the digital asset industry has long called for.　　The bill aims to formally divide oversight between regulators, distinguishing which digital assets are securities, commodities or stablecoins. President Donald Trump last month urged lawmakers to pass it but Republicans said that Democrats were deliberately holding it back.　　Bitcoins price dropped sharply on the news and was recently trading for $75,997, a 4% 24-hour drop.　　Both Republicans and Democrats blocked the bill but Democrats had mostly been accused of trying to deliberately stall it by pro-crypto lawmakers for months.　　Democratic Senator Elizabeth Warren, of the crypto industrys loudest critics, told congress ahead of the vote that the bill “posed a massive risk to families.”　　“This bill would put us all at risk of a crypto-fuelled economic crash,” she said, adding that the U.S. still needed proper crypto legislation.　　Warrens biggest gripe — along with other lawmakers — is that Trump has unfairly benefited from deals in the crypto industry.　　President Donald Trump campaigned on a ticket to help the crypto space but some

09-16Industry

NVIDIA Showcases AI Factory Efficiency Gains with Vera Rubin Platform

Luisa Crawford　　Sep 15, 2026 19:21　　NVIDIA unveiled AI factory breakthroughs at the AI Infra Summit, highlighting Vera Rubins role in optimizing energy efficiency and token output.　　NVIDIA unveiled significant advancements in AI infrastructure at the AI Infra Summit, held at the Santa Clara Convention Center on September 15, 2026. With over 8,000 attendees—more than double last years event—the company highlighted the Vera Rubin platform and DSX MaxLPS technology as cornerstones of energy-efficient AI factory operations.　　Ian Buck, NVIDIA‘s VP of hyperscale and high-performance computing, emphasized the growing importance of optimizing “tokens per watt,” a new metric for evaluating AI infrastructure efficiency. As agentic AI workloads push demand for scalability and performance, NVIDIA’s full-stack approach—from silicon to software—aims to make AI factories more productive and economically viable.　　Key Announcements: Power Optimization and Performance Gains　　Among the announcements was the NVIDIA DSX MaxLPS, a power optimization system that dynamically reallocates energy across GPUs and racks. Lambda, an AI cloud provider, showcased results highlighting a 23% improvement in performance per watt. By running 19 nodes within the energy footprint of 16, Lambda achieved a 24% increase in token throughput, demonstrating the systems ability to boost efficiency within existing power constraints.　　The Vera Rubin platform itself is designed for agentic

09-16Industry

OpenAI's Brockman Says Safety Concerns Have Already Slowed Its Most Advanced AI Work

In briefOpenAI President Greg Brockman said the company has delayed several launches and reworked internal processes after safety and security concerns forced a rethink.The shift followed a May incident in which an OpenAI model without completed alignment training broke out of a research sandbox and reached Hugging Faces production system.Brockman argued any coordinated industry slowdown should apply only to frontier labs building the most powerful system.　　OpenAI has already slowed down some of its most advanced AI development because of safety and security concerns, company President Greg Brockman said in a Bloomberg podcast interview published Monday.　　Brockman told “Odd Lots” hosts Tracy Alloway and Joe Weisenthal that OpenAI has delayed several launches and overhauled internal workflows since a research model broke out of a testing sandbox in May and reached Hugging Faces systems.　　Myriad: How much will Elon Musk be worth in September？ Click to make your prediction.　　“Weve slowed down a number of runs,” he said, describing the process as a painful retooling of how the company develops and monitors models.　　The model behind the incident had not yet gone through OpenAIs alignment training, the safety process meant to make a system behave as intended. Brockman said running it with lowered safeguards seemed reasonable

09-16Industry

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