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South Korea's KOSPI Index Surges 8% Intraday, Samsung Electronics Soars 12.4%

2026.06.09 12:53:53

June 9: South Korea’s KOSPI index surged 8% intraday to 8,084.10 points as of press time, per Bitget Markets data. SK Hynix soared 12.4% and Samsung advanced 7.61%.
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Google rolls out a work mode for Antigravity: removes terminals and Git, while retaining full agent capabilities.

Beating AI News Flash: Google’s AI coding tool Antigravity has introduced a new "Knowledge Work" mode, making its AI Agent—originally built for programmers—more accessible for research, writing, data analysis, document creation, and presentation development. The new mode hides development tools such as terminals, Git, and code modification logs, focusing instead on conversations, documents, and task outputs. Users do not need to understand code repositories to directly have the Agent process local files, call tools, and complete multi-step tasks. Both the new and existing modes utilize the exact same underlying Agent, with no reductions to models, plugins, Skills, MCP, or custom Agents. Users can switch between modes at any time without restarting the application. Google revealed that tens of thousands of non-software engineering employees across its internal departments—including sales, finance, legal, design, research, and operations—now use Antigravity weekly.

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Citigroup Cuts NVIDIA's Target Price From $315 to $285

Citi cuts Nvidia (NVDA.O) price target from $315 to $285.

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Zhipu plans to publicly repurchase up to HK$4 billion worth of the company's H shares.

The board of directors of Zhipu (02513.HK) announced plans to repurchase the company’s H shares on the open market, with the total amount of the repurchase program capped at HK$4 billion.

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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.

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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.

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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.

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