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Grok 4.8 is finally arriving, Musk: Testing will first be rolled out to select Grok Bot users this week.

49 minutes ago

Beating AI News: Elon Musk Finally Explains Why Grok 4.8 Has Been Delayed The Grok team abandoned its original JAX and SGLang software stacks, choosing to rewrite the entire reinforcement learning and inference system from scratch in C/C++—a shift that added significant development time. On September 14, Musk had disclosed that the 2.5-trillion-parameter Grok 4.8 was nearing pre-training completion, noting at the time that pre-training had switched to a self-developed C++ system, though reinforcement learning still relied on multiple patched legacy software stacks. That segment has now been fully rewritten. Grok 4.8 has completed pre-training, and the team also invested substantial effort in cleaning up supervised fine-tuning (SFT) data—the dataset used to teach the model to respond to user instructions. The model has since entered the reinforcement learning phase, with internal evaluation scores beginning to rise. Musk plans to roll out a test for a select group of Grok Bot users this week. He also took a direct jab at the previous generation: "Thank goodness, Grok 4.8 will be completely different from 4.7." However, he acknowledged the new model is not yet impressive, adding that this time the underlying foundation has finally been solidified, with far greater improvements expected in the future.

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Nvidia’s pre-market gain on US stocks narrowed to 0.1%, erasing its earlier rise of more than 2%.

According to data from the BIT Stock Platform, NVIDIA (NVDA)’s pre-market gain in US stocks has narrowed significantly, with the stock now trading at $178.89.

6 minutes ago

SoftBank's CFO denies Elon Musk's claim of a turbine order breach: "Completely incorrect"

SoftBank Chief Financial Officer Yoshimitsu Goto responded today to Elon Musk’s allegation that SoftBank defaulted on turbine orders. On November 6, Musk posted on X, “SoftBank is defaulting on their turbine orders.” During an analyst Q&A session, someone sought comment from SoftBank on the matter. Goto stated: “We have absolutely no idea what he’s getting at, but this claim is completely wrong. There is no such default.” He also noted the company remains on track to advance its AI infrastructure. This stance aligns with earlier remarks from Scott Strazik, CEO of GE Vernova. Per prior reports, Morgan Stanley had queried GE Vernova whether it faced canceled turbine orders or financing issues from clients; Strazik replied “no,” adding he had not observed disruptions in customer financing, requests to withdraw turbine reservations, or slowed progress.

6 minutes ago

Anthropic Releases Claude Cost-Saving Guide: Start with lower-capacity model, upgrade to higher tier if tasks fail, slash costs by 41% while boosting accuracy

Beating AI News Flash: Anthropic has released a Claude model selection guide, advising developers not to default to the most powerful Fable 5.2. For most programming and knowledge work, start with Opus 5.5’s Medium inference strength. For clearly defined feature development and daily automation, use the more affordable Sonnet 5.5. Simple tasks like classification and information extraction can be assigned to Haiku 5.5. Large-scale code migrations, complex research, or tasks Opus cannot complete are the only scenarios where Fable 5.2 should be considered. Anthropic notes an effective cost-cutting method is letting AI audit its own results: for example, run automated tests when coding to catch and fix errors instead of using the highest inference strength from the start. In tests on the same subset of SWE-bench Pro programming benchmarks, Anthropic had Opus 5.5 first execute tasks with Low inference, then only retry failed tasks with High. The result was a ~97% pass rate at an average cost of $0.17 per task. By comparison, running all tasks directly with High inference yielded a 95.3% pass rate at $0.29 per task — the former approach reduced costs by ~41% while delivering a slightly higher pass rate. Increasing inference strength in isolation has a cost-performance ceiling: when Opus 5.5 was upgraded from High to Xhigh, its SWE-bench Pro score improved by only ~1.4 percentage points, while its cost rose 2.5 times. Anthropic advises that if a model at High cannot solve a hard problem, try a stronger model at a lower inference strength. For instance, in the FrontierCode 2.0 benchmark, Fable 5.2 at High scored 45.3%, nearly matching Opus 5.5’s 45.5% at Max, while its average cost per task was only half of Opus. Even though Fable’s per-token API price is twice Opus’s, total costs for such hard tasks may still be lower.

6 minutes ago

Upbit adds WAVES to its investment warning list.

According to an official announcement from Upbit, WAVES has been added to its investment warning list.

6 minutes ago

Latest IPO prospectus for Anthropic revealed: Plans to issue 825 million shares at $70 to $78 per share

According to Reuters, the latest draft prospectus shows that Anthropic plans to issue 825 million shares in its initial public offering (IPO), with an indicative price range of $70 to $78 per share. The cornerstone investors for Anthropic's IPO include AMD, Broadcom, Google, Micron Technology, Microsoft, NVIDIA, and TSMC Partners. These cornerstone investors will collectively subscribe for $26 billion worth of the company's common shares through a separate private placement.

6 minutes ago

A certain crypto whale has liquidated all long positions in Hynix, and after taking profits, plans to buy back at a lower price of $880.

According to TradingBeats' monitoring, a crypto whale liquidated approximately $5.019 million in long positions of SK Hynix (SKHX), selling at $903.41 for an estimated profit of $19,000. After the liquidation, the same address immediately placed a $5.001 million buy order at $880, planning to re-enter long positions once the price pulls back. The planned entry price is roughly 2.59% lower than the previous average selling price.

6 minutes ago

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