Lookonchain APP

App Store

G7 announces the release of 100 million barrels of strategic petroleum reserves, while Europe declines to add to its inventories: Most of the volume is likely just the fulfillment of old quotas set in March.

2026.10.07 17:31:37

According to Bloomberg, citing internal EU meeting minutes, EU member states generally hold that the G7’s announcement last week of a coordinated release of 100 million barrels of crude oil and diesel does not require Europe to further draw down strategic reserves on a large scale beyond its prior commitments. The EU is inclined to cap subsequent releases at the volume agreed in March this year, meaning there may be a significant gap between the G7’s cited "100 million barrels" and actual new supply going forward. The G7 previously announced that, under the coordination of the International Energy Agency (IEA), it would release a total of 100 million barrels of crude oil and diesel over the next four months, and called for diesel to be prioritized and brought forward significantly in the first 20 days. However, as of now, no EU member state has explicitly committed to additional inventory releases within this timeframe. In March this year, IEA members agreed on a plan to release around 400 million barrels of strategic crude oil and refined products, with EU member states collectively accounting for roughly 20% of that volume. As of early October, about two-thirds of the quota has been released, with the remaining part still to be fulfilled. The EU’s current mainstream stance is to fulfill existing commitments rather than expand the overall release volume; some member states have called on the IEA to first assess the impact of prior releases on the market and energy security. On the diesel front, Europe may agree to bring forward its existing quota originally scheduled for later release, but is reluctant to add extra volumes. European policymakers worry that, against the backdrop of fragile Middle East supply chains and rising winter energy demand, depleting strategic reserves prematurely could weaken its ability to respond to future supply shocks.

Relevant content

FOMO early investor and advisor HDF joins the team as head of perpetual contract business.

Fomo, an early investor and advisor (hdf, @PaikCapital), has joined the trading app Fomo as Head of Perpetual Contracts. He noted that with a decade of trading experience, his goal in joining Fomo is not merely to make perpetual contract trading accessible to all, but to build a network that elevates the proficiency of every trader.

7 minutes ago

Developers embed a 32-bit CPU into Qwen’s model weights, enabling the large language model to run computer programs directly internally.

Beating AI Express News: Independent developer Divyansh Agrawal has built Qwenputer based on Alibaba’s Qwen3.5-4B, integrating a 32-bit RISC-V virtual CPU directly into the model’s weights. This allows the large language model (LLM) to perform precise calculations when generating responses without relying on external computing tools. Instead of retraining Qwen, Agrawal added 11 layers before the original 32-layer network, using a compiler to translate the CPU’s operation rules directly into model parameters. The added network leverages the Gated DeltaNet architecture to implement precisely readable and writable memory for storing programs and data. The virtual CPU can now run compiled C programs and has passed RISC-V instruction tests, with no errors detected in tests executing approximately 18 million total instructions. In DeepMind’s 40 large-number multiplication problems, the original Qwen got 22 correct answers, while Qwenputer scored 39; the original Qwen achieved a perfect score when connected to external Python tools. The CPU itself executes instructions accurately, but the LLM may still make errors when calling it or outputting results. This technical approach has precedents: in March this year, Percepta implemented a virtual computer capable of running C programs using a neural network, though it was a purpose-built model. By contrast, Qwenputer integrates similar computing capabilities into the already trained Qwen, enabling the LLM to use its internal CPU for calculations during response generation. However, the solution is currently very inefficient: a large number of zero-value parameters expand the model file to 18.8GB, roughly twice the size of the original, and its computing speed is far slower than external tools.

7 minutes ago

Binance Wallet’s PREDICT presale has raised over 190,000 BNB, with oversubscription standing at approximately 25 times.

According to relevant pages, the Binance Wallet PREDICT token presale has raised 197,300 BNB, with a target of 7,794.12 BNB, currently oversubscribed by approximately 25 times. Earlier reports noted that the participation threshold for predict.fun’s (PREDICT) Pre-TGE Prime Sale was 60 points, and 15 points will be deducted for joining the current TGE event. The event runs from 16:00 to 18:00 today, with a per-user subscription limit of 6 BNB.

7 minutes ago

Tom Lee: Wash’s remarks are more dovish, which bodes well for the recovery of risk assets and AI trading.

After yesterday’s FOMC meeting, Tom Lee told CNBC that Federal Reserve Governor Christopher Waller’s latest remarks leaned dovish, which bodes well for risk assets and a rebound in AI-related trading. Lee pointed out that Waller publicly challenged the claim that “AI growth will inevitably lead to inflation” — a critical point, as markets had previously fretted that AI capital expenditures would drive up inflation, forcing the Fed to raise interest rates or tighten monetary policy. “Therefore, now we can treat good news as good news. You will be able to say that significantly better-than-expected data is a positive, because the Fed will not attempt to slow artificial intelligence’s growth,” Lee added.

7 minutes ago

US stocks were broadly lower in pre-market trading, with optical communications stocks, storage stocks, and the Neocloud concept all declining, none spared.

According to data from the BIT Stock Platform, U.S. pre-market trading saw broad declines today, with no exceptions among optical communications, NeoCloud, and storage stocks in the AI industry chain. Among star stocks: Nvidia fell 0.92%, Apple rose 0.83%, Microsoft rose 3.55%, Google fell 10.40%, Amazon fell 0.71%, Meta rose 0.90%, and Tesla fell 0.99%. Optical communications stocks: Lumentum rose 4.38%, Corning fell 3.39%, Coherent fell 0.68%, AAOI fell 3.77%, Broadcom fell 3.26%, and Marvell Technology fell 9.08%. NeoCloud concept stocks included Oracle (down 2.98%), CoreWeave (down 6.54%), Nebius (down 7.09%), IREN (down 5.20%), and Applied Digital (down 5.00%). Storage stocks also saw notable pre-market declines: Micron fell 3.78%, SanDisk fell 3.90%, SK Hynix fell 2.94%, Western Digital fell 3.78%, and Seagate Technology fell 3.44%. For crypto-related concept stocks, MSTR fell 2.16% and BMNR fell 3.36%.

7 minutes ago

London Metal Exchange (LME), a subsidiary of Hong Kong Exchanges and Clearing (HKEX), is exploring the tokenization of metal inventories stored in Hong Kong warehouses.

According to Reuters citing sources familiar with the matter, London Metal Exchange (LME), a subsidiary of Hong Kong Exchanges and Clearing (HKEX), is exploring tokenizing metal inventories stored in Hong Kong warehouses to turn them into digital assets eligible for loan collateral and other financing activities, in line with Hong Kong’s strategy to develop into an international commodity trading hub. LME responded that it is currently in the early stages of exploring tokenizing metal inventories for which warehouse receipts have not been issued. Unlike metals under warehouse receipts that already have standardized financing mechanisms, these inventories currently lack mature financing channels. Sources revealed that LME plans to hold a closed-door industry roundtable in early November to discuss the plan. HKEX is also testing carbon credit tokenization to enable near-real-time transaction settlement.

7 minutes ago

Popular tokens

BitcoinEthereumHyperliquidSolanaTRONBNBTetherAaveXRPPepeFartcoinOndoJupiterUniswapBonkPendleEthenaArbitrumAvalancheLidoChainlinkPolygonDogecoinCardano