Capital B completes a €21 million capital increase, and plans to purchase an additional approximately 270 bitcoins.
French Bitcoin reserve-listed firm Capital B (The Blockchain Group) announced the completion of a private placement round, issuing roughly 36.22 million warrant-linked shares (ABSA) to global institutional investors at €0.58 per share, generating gross proceeds of around €21 million, with net proceeds of approximately €19.9 million after related expenses. The round’s strategic investors include Bitcoin early developer Adam Back and asset management firm TOBAM, while Maxim Group acts as the exclusive placement agent. Capital B stated the funds will be used to advance its Bitcoin treasury strategy, with plans to acquire an additional ~270 BTC. Upon deal completion, the company’s Bitcoin holdings are projected to rise to around 3,415 BTC.
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South Korea’s KOSPI index closed 1.79% lower, while SK Hynix dropped 4.45%.
According to Bitget market data, South Korea’s KOSPI index closed down 123.48 points, or 1.79%, at 6788.89 points on Friday, August 28. SK Hynix fell 4.45%, and Samsung Electronics dropped 3.38%.
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Tencent's Hy4 model outperformed GLM-5.3 and Kimi K3 in blind tests, with its lowest inference cost 82% lower than the latter two models.
Beating AI News: Tencent has published results from a blind engineering test for its Hy4 model. 163 internal Tencent experts evaluated different models across 203 real-world engineering tasks, with Hy4 posting an average score of 2.99/4, outperforming GLM-5.3 (2.92/4) and Kimi K3 (2.94/4). Specifically, Hy4’s win rate against GLM-5.3 stands at 46.8%, with a 12.8% draw rate and 40.4% loss rate; versus Kimi K3, its win rate is 51.2%, draw rate 7.9%, loss rate 40.9%. The test tasks are actual internal Tencent engineering projects, not traditional fixed benchmarks. However, Hy4 does not lead across all public benchmarks. Per Tencent’s released evaluation data, it has mixed performance against models like GLM-5.3 and Kimi K3, and still lags behind GLM-5.3 in code and cybersecurity tests including DeepSWE and CyberGym. Price is Hy4’s most prominent advantage: it costs 6 yuan per million input tokens and 18 yuan per million output tokens—25% cheaper than GLM-5.3 for input and roughly 36% cheaper for output; compared to Kimi K3, it is 70% cheaper for input and 82% cheaper for output. Its cache hit cost is just 0.3 yuan, 85% lower than GLM-5.3 and Kimi K3’s 2 yuan.
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South Korean media: Samsung is developing 8-layer HBM4E to meet NVIDIA's requirements.
According to a report by Seoul Economic Daily, Samsung Electronics is developing an 8-layer HBM4E product as required by NVIDIA, for use in NVIDIA’s custom high-bandwidth memory NVHBM. This design cuts the number of stacked layers compared to Samsung’s original plans for 12-layer and 16-layer products. NVIDIA has set a target speed of 17 to 18 Gbps, roughly 20% higher than the 14.4 Gbps of Samsung’s early HBM4E samples. The 8-layer design reduces the difficulty of wafer thinning, precision stacking, and backend packaging, eases yield pressure, and boosts supply capacity. NVHBM is expected to debut in NVIDIA’s Rubin Ultra AI GPU, scheduled for launch next year. Rubin Ultra will expand its GPU interconnect scale from the current 72 units to up to 576 units, using more high-speed GPUs working in tandem to offset the drop in storage capacity per individual GPU. Samsung has the capability to design and manufacture DRAM, logic chips, and base dies, allowing it to offer one-stop services for custom HBM. Industry insiders point out that Samsung has already demonstrated high transmission speeds on HBM4, and as NVIDIA shifts its competitive focus from high stacking to high-speed transmission, Samsung’s related capabilities may draw more attention.
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