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DeepSeek Reportedly Sidelines Nvidia and AMD Ahead of Flagship Launch

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DeepSeek, the Chinese artificial intelligence lab that unsettled global markets with its low-cost model last year, has broken with industry convention by withholding early access to its forthcoming V4 model from major U.S. chipmakers, according to two sources familiar with the matter who spoke to Reuters.

Instead of providing pre-release builds to Nvidia and Advanced Micro Devices, DeepSeek granted several weeks of lead optimization time to domestic suppliers, including Huawei Technologies. The decision represents more than a technical adjustment; it signals a strategic realignment within China’s AI ecosystem.

AI developers typically collaborate closely with hardware vendors ahead of major model launches. Pre-release access allows chipmakers to fine-tune compilers, memory management systems, and runtime libraries to maximize throughput and efficiency. That process is particularly critical for large foundation models, where marginal performance gains can significantly affect deployment economics.

DeepSeek’s previous releases involved cooperation with Nvidia’s engineering teams. The absence of such collaboration for V4 marks a notable shift.

From a narrow commercial perspective, the immediate revenue impact on Nvidia and AMD may be limited.

“The impact to Nvidia and AMD for general data accelerators is minimal — most enterprises are not running DeepSeek, which serves as a benchmarking model more than anything else,” said Ben Bajarin, CEO of research firm Creative Strategies.

He noted that advances in AI development tools are shortening optimization cycles “from months to weeks.”

Yet optimization windows are not merely operational conveniences. They help shape ecosystem dominance. When a model is tuned early for a specific architecture, it can reinforce software-hardware lock-in, steering future deployments toward that platform.

By giving Huawei and other domestic chipmakers a head start, DeepSeek effectively directs performance alignment toward China’s indigenous silicon stack. This is particularly significant as Chinese AI developers work to reduce dependence on U.S. accelerators amid tightening export controls.

The move arrives as U.S.-China technology tensions deepen. A senior Trump administration official told Reuters that DeepSeek’s latest model was trained on Nvidia’s most advanced Blackwell chips within mainland China — a claim that, if substantiated, could raise compliance questions under U.S. export restrictions. Licenses for cutting-edge training processors remain tightly controlled.

According to the official, DeepSeek may seek to remove technical signatures revealing reliance on U.S. hardware and publicly assert that Huawei chips were used in training. It remains unclear whether DeepSeek secured approval to acquire inference-focused chips such as Nvidia’s H20 or AMD’s MI308, which were allowed to resume limited shipments to China last year.

DeepSeek’s rise has been rapid and consequential. Since its breakout in January 2025, its models have been downloaded more than 75 million times on Hugging Face. Over the past year, Chinese open-source models collectively surpassed those from any other country on the platform, reshaping the global competitive landscape.

Open-source traction matters strategically. Models distributed widely through platforms like Hugging Face can become de facto standards for benchmarking, experimentation, and downstream development. If such models are optimized primarily for domestic Chinese hardware, that alignment could gradually shift developer preferences and infrastructure investment patterns.

This dynamic also intersects with export control debates in Washington. The U.S. government has sought to limit China’s access to advanced AI training chips while allowing some inference-oriented processors to ship. The rationale is to constrain China’s ability to build frontier models while preserving certain commercial ties.

However, if Chinese labs are increasingly aligning software with domestic chips — and potentially obfuscating the role of U.S. hardware in training — the effectiveness of hardware-centric export controls could erode. Software optimization and distributed training techniques can mitigate hardware disadvantages over time, especially if supported by state-backed investment.

China’s broader policy objective appears clear: build a vertically integrated AI stack encompassing chips, models, and applications. DeepSeek reinforces that ambition by prioritizing domestic chipmakers in its model development cycle.

The near-term financial consequences for Nvidia and AMD may be modest, particularly if DeepSeek remains more influential as a benchmarking reference than as a dominant enterprise platform. The longer-term significance lies in ecosystem alignment. Early access determines which hardware architectures are favored, which toolchains are refined, and which supply chains are reinforced.

As several Chinese AI firms prepare new model releases this month, the pattern suggests a coordinated acceleration in domestic capability building. DeepSeek’s decision to exclude U.S. chipmakers from early optimization access reflects not just competitive maneuvering but a recalibration of technological allegiance.

Crypto Markets Showing Strong Rebound After $500M Liquidations

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The crypto market is experiencing a strong rebound today, with significant short liquidations fueling the pump. Recent data shows over $500 million in short positions liquidated in the past 24 hours as Bitcoin and other major assets rallied.

Total liquidations reached around $556–$575 million in the last 24 hours, with shorts taking the majority of the pain; $422–$468 million in short liquidations vs. much lower longs. Bitcoin surged from recent lows around $64K–$65K, pushing past $68K and briefly touching near $70K before some pullback, currently hovering in the mid-to-high $67K range.

This short squeeze added substantial buying pressure, with the crypto market cap jumping notably; reports of $170–$200B+ added in a short window. Altcoins like ETH, SOL, and others saw strong gains often 6–10%+, contributing to the broader rally. Factors mentioned include a relief bounce after extreme fear (Fear & Greed Index hit lows earlier in the week), returning ETF inflows, and market mechanics like sweeping liquidation clusters around key levels.

This kind of short squeeze is classic in volatile markets—bears get forced to cover, amplifying the upside move. It’s not uncommon to see headlines flip quickly from “crypto is dead” to “massive pump” in days. Volatility remains high, so leverage carefully.

The forced closure of short positions created a feedback loop: Bears had to buy back assets at higher prices to cover, adding buy-side pressure and accelerating the rally. Bitcoin surged from lows near $64K–$65K to highs around $69K–$70K touching near $70K briefly before pulling back to ~$67K–$68K range.

This contributed to BTC’s strong one-day gain—one of the biggest since its October 2025 all-time high—while alts like ETH up ~7–11%, SOL, and others saw even sharper moves often 8–10%+. Broader market cap rose ~4–5%, adding hundreds of billions in value quickly. Over 128,000–132,000 traders got liquidated overall, with shorts bearing ~80–85% of the damage.

Bitcoin shorts alone wiped out ~$195–$236M, ETH ~$175–$179M. This “rekt” many over-leveraged bearish bets, especially those caught off-guard after recent fear-driven dips (Fear & Greed Index had hit extreme lows earlier in February). Negative funding rates (shorts paying longs) and crowded shorts set the stage for this squeeze—classic contrarian signal that often precedes upside volatility.

US Bitcoin ETFs saw inflows; reversing prior outflows with ~$258M in one day reported, Coinbase premium flipped positive indicating US retail and investor buying. Broader risk-on mood boosted by external factors like strong NVIDIA earnings easing AI and tech fears, flowing into crypto as a high-beta play.

Sweeping liquidation clusters around $69K cleared overhead resistance, potentially opening paths to $72K+ if momentum holds and more shorts pile in. Analysts note this is largely a relief bounce and mechanics-driven (not fresh fundamentals), with falling open interest suggesting reduced leverage overall. Sustainability questioned—could fade if no new catalysts emerge.

Altcoins benefited disproportionately in some cases, but high leverage remains risky; similar squeezes can reverse sharply if sentiment flips. In short, this event turned extreme bearish positioning into rocket fuel for bulls, delivering a classic crypto squeeze. It’s a reminder of how crowded trades can unwind violently—bears got burned, but it added real buying power to the rebound. Volatility stays elevated, so manage risk accordingly.

US Spot Bitcoin ETFs Records Net Inflows Exceeding $500 million

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U.S. spot Bitcoin ETFs have broken their recent outflow streak with significant net inflows exceeding $500 million. The funds recorded approximately $506–508 million in net inflows on that date—the highest single-day total in several weeks.

This marks a reversal after five consecutive weeks of net outflows, during which investors pulled out roughly $3.8–4.3 billion (the longest such streak since late 2025 or November, amid broader market pressures like macro uncertainty and tariff concerns). BlackRock’s iShares Bitcoin Trust (IBIT) led strongly with around $297 million.

Grayscale’s Bitcoin Trust (GBTC) contributed notably with about $102–103 million (a rare positive day for it). Other contributors included Bitwise (BITB) at ~$39 million and Fidelity (FBTC) at ~$30 million. Importantly, no major ETF showed outflows that day, indicating broad-based buying.

This has helped push weekly inflows so far to around $560 million, putting the funds on track for their first positive week after the extended slump. Cumulative net inflows since the ETFs’ inception remain strongly positive at over $54 billion.

The inflows coincided with Bitcoin’s price rebounding above $68,000 from recent lows around the mid-$60,000s or even testing $64,000 earlier in the week, suggesting renewed institutional interest and “cautious accumulation” rather than full euphoria. Analysts view this as a potential signal of stabilizing sentiment, though sustained inflows would be needed for a more definitive trend reversal.

For context, Ethereum spot ETFs also saw positive flows ~$157 million on the same day in some reports, while the broader crypto market showed mixed but improving risk appetite. The recent five-week streak of net outflows from U.S. spot Bitcoin ETFs (totaling roughly $3.8–4.5 billion through late February 2026, with year-to-date figures around $4.5 billion in some reports) stemmed from a combination of macroeconomic pressures, risk aversion, and market dynamics rather than any fundamental flaw in Bitcoin itself.

This period followed Bitcoin’s sharp correction from its October 2025 highs above $126,000, with prices dipping toward the mid-$60,000s by early-to-mid February amid broader risk-off sentiment. Macroeconomic uncertainty and risk-off positioning.

Investors, particularly institutions, de-risked portfolios amid fears of global tariffs; President Trump’s announcements of new or expanded tariffs, including a 15% shock impacting trade and growth expectations, geopolitical tensions and a stronger U.S. dollar. These factors reduced appetite for high-volatility assets like Bitcoin, which traded more like a risk-on proxy tied to tech stocks than a “digital gold.”

A sell-off in tech stocks including AI-related names dragged correlated risk assets lower. This hit Bitcoin miners pursuing AI and high-performance computing strategies especially hard, as tighter financing led some to sell BTC holdings to shore up balance sheets, adding spot supply pressure.

Deleveraging and unwinding of positions: Rapid reduction in leverage across crypto and broader markets contributed to orderly but persistent selling. Hedge funds and tactical/short-term players exited, including unwinding of basis trades (arbitrage between spot ETFs and CME futures) that had been profitable in 2025 but compressed in the downturn.

Some outflows reflected profit-taking or rebalancing rather than outright panic. Institutional wariness persisted after an early October 2025 crash/exposure of vulnerabilities amplifying caution in a volatile macro environment. Technical factors, such as Bitcoin breaking key supports, reinforced the downside momentum.

Some flows rotated toward altcoins or other assets, while ETF mechanics amplified pressure—redemptions force authorized participants to sell underlying BTC, creating mechanical selling. This was not isolated to Bitcoin; Ethereum ETFs saw similar multi-week outflows.

The outflows represented a sustained de-risking phase driven by external macro headwinds and tactical adjustments, not capitulation from long-term holders who largely stayed put, with cumulative ETF inflows since 2024 launch still strongly positive at ~$53–54 billion.

Analysts viewed it as a “healthy reset” or temporary consolidation in a choppy environment, with the recent inflow reversal; over $500 million on February 25 potentially signaling stabilizing sentiment as Bitcoin rebounded above $68,000. Sustained positive flows would be needed to confirm a fuller trend shift.

Nigerian Crude Trades $71 Above Budget Benchmark: Good for the Budget, Bad for the People

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Nigerian crude last traded above $70 per barrel, remaining comfortably above the Federal Government’s 2026 budget benchmark of $64.85. Bonny Light, Nigeria’s flagship grade, was trading around $71 per barrel, slightly below $72.3 earlier in the week but still elevated relative to fiscal assumptions.

For the treasury, the development is positive. Oil revenue remains central to Nigeria’s budget framework, foreign exchange earnings and debt servicing capacity. With the benchmark price set conservatively, sustained trading above $70 per barrel would improve revenue projections, narrow potential deficits and ease pressure on borrowing.

Nigeria’s crude retains structural advantages in the global market. Known as “light and sweet,” Bonny Light’s low sulfur content and high API gravity make it cheaper to refine into premium fuels such as diesel and gasoline. That quality premium often supports demand, especially in Europe and Asia.

The latest price strength has been driven largely by geopolitical risk. U.S. military activity around the Red Sea and renewed nuclear negotiations between Washington and Tehran have heightened fears of supply disruption. Iranian naval exercises in the Strait of Hormuz — a corridor that handles roughly 20 million barrels per day — have amplified that premium. Even a temporary disruption in that waterway would reverberate across global benchmarks, including West African grades.

Fiscal Gains, Consumer Pain

While higher crude prices bolster federal revenue, they carry a direct cost for consumers. Nigeria has significantly reduced fuel subsidies, meaning domestic pump prices are now more closely aligned with international crude benchmarks and exchange rate movements.

As crude rises, so too does the landing cost of refined petroleum products. Even with domestic refining capacity expanded through the Dangote Refinery, feedstock pricing remains tied to global oil markets. The refinery is currently supplying between 60 million and 65 million liters of petrol daily to the Nigerian market and exporting surplus volumes, but its input costs move with international crude.

The result is a familiar paradox: what strengthens government revenue can erode household purchasing power. Higher pump prices increase transportation costs, raise logistics expenses for businesses, and ultimately feed into food and commodity prices. For households already grappling with elevated inflation and stagnant wage growth, another upward adjustment in petrol prices would further squeeze disposable income.

Energy costs have broad pass-through effects in Nigeria’s economy. Transport operators adjust fares, manufacturers face higher input costs, and small businesses contend with increased generator fuel expenses. The inflationary impulse from oil price spikes, therefore, extends beyond fuel stations into the broader consumption basket.

A Risk Premium That May Prove Temporary

The durability of current price levels remains uncertain. The present rally is closely linked to tensions between Iran and the United States. Diplomatic talks are resuming in Geneva, and markets are highly sensitive to any signal of de-escalation.

If negotiations produce a breakthrough or reduce the risk of supply disruption in the Strait of Hormuz, the geopolitical premium embedded in oil prices could unwind quickly. Oil markets typically reprice rapidly when perceived supply risks ease. In that scenario, Nigerian crude could retreat toward or below the $64.85 budget benchmark.

At the same time, medium-term supply dynamics point toward potential softening. The U.S. Energy Information Administration has projected that global inventories will rise this year, forecasting an average increase of 3.1 million barrels per day in stockpiles as production growth outpaces consumption. Such projections imply a market that could tilt toward balance or oversupply if demand growth slows.

Trade uncertainty also clouds the demand outlook. Signals of new U.S. tariffs have revived concerns about global growth, industrial output, and energy consumption. Slower growth in major economies would reduce oil demand and apply downward pressure on prices.

This creates a narrow window of opportunity for Nigeria. Elevated prices offer short-term fiscal breathing room, especially if production improves toward the government’s 1.84 million barrels per day target. Output in early 2025 hovered around 1.48 million bpd, close to the OPEC+ quota but still below budget ambitions.

However, the benefits are contingent and potentially short-lived. If tensions between Washington and Tehran ease, oil prices could decline, compressing revenue gains. Conversely, if tensions escalate, prices may rise further — boosting government income while intensifying domestic inflationary pressures.

In effect, Nigeria’s fiscal position strengthens when oil climbs, but the average consumer feels the strain almost immediately. The current price environment reflects geopolitical risk rather than structural demand growth, meaning it could reverse as quickly as it emerged. The challenge for policymakers is to manage the windfall without assuming its permanence — and to cushion households from the inflationary consequences of global oil volatility.

Kalshi Accuses MrBeast’s Employee of Insider Trading 

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An employee of Beast Industries (the company behind YouTuber MrBeast, has been accused of insider trading on the prediction market platform Kalshi.

Artem Kaptur is a video editor for MrBeast’s content. Kalshi announced on February 25, 2026, that it investigated and found reasonable cause to believe Kaptur used material, non-public information from his job to place bets on markets related to MrBeast’s videos and events; such as specific outcomes, phrases said in videos, or results from related shows like Beast Games.

Kaptur reportedly traded about $4,000 in August and September 2025. He achieved “near-perfect” success on low-odds bets, which flagged as statistically anomalous in Kalshi’s surveillance systems. Kalshi imposed a two-year suspension from the platform.

He was fined approximately $20,000 total including a $15,000 penalty and disgorgement of around $5,397 in profits. The case was reported to federal regulators; the Commodity Futures Trading Commission, which oversees prediction markets like Kalshi.

This appears to be one of Kalshi’s first public disciplinary actions for insider trading violations, alongside another case involving a former California gubernatorial candidate who bet on his own campaign. Beast Industries responded by stating it has “no tolerance” for such behavior, whether from employees or contestants on MrBeast’s shows.

The company has initiated an independent investigation and noted it implemented policies prohibiting prediction market trading on company-related info a few months ago (after the trades occurred). Beast Industries CEO Jeff Housenbold later commented on CNBC that prediction markets are “ripe for abuse” in this context.

The story highlights growing concerns about insider advantages in prediction markets as they expand to cover entertainment, politics, and more. The Artem Kaptur insider trading case on Kalshi has several notable impacts across personal, corporate, regulatory, and industry levels,

Kaptur stated he was terminated from his role as a video editor and VFX artist for MrBeast and Beast Industries. In a public X post, he described the fallout as “devastating,” including loss of income, public reputation damage, and long-term professional stigma at age 26.

He took responsibility but argued the punishment felt disproportionate for a small-scale violation in an evolving regulatory space. The company issued a statement emphasizing “no tolerance” for such behavior from employees or contestants, and it launched an independent investigation.

Beast Industries implemented rules prohibiting employees from trading on company-related prediction markets a few months ago. CEO Jeff Housenbold addressed the issue in media appearances, noting prediction markets are “ripe for abuse” in entertainment contexts.

Kalshi highlighted having opened over 200 insider trading investigations in the past year, positioning itself as proactive amid rapid growth in prediction markets. The case underscores vulnerabilities in prediction markets, where non-public info can create advantages. It may accelerate calls for clearer rules or tighter oversight from the CFTC, as platforms expand beyond traditional events.

Some coverage notes this highlights how “new” markets are still defining insider trading boundaries. Minor effects observed, like potential shifts in odds for MrBeast-related contracts; subscriber milestones, phrases in videos, due to reduced perceived insider activity, though markets remain open to public traders.

While the traded amount was small ~$4,000 leading to ~$5K profit, the case serves as an early high-profile example of enforcement in the booming prediction market sector, emphasizing risks of insider advantages in niche and entertainment bets. No major ongoing federal charges or market crashes have been reported, but it could influence future compliance policies across similar platforms.