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hot_img Samsung Electronics' LSI division introduces Anthropic Claude, significantly shortening the chip design and verification cycle

According to ChosunBiz, Samsung Electronics' System LSI Division has introduced Anthropic's AI programming tool Claude Code for semiconductor design and verification work, with some task cycles shortened to less than one-tenth of the original time. In the verification of data connection structures for customer-customized SoCs, work that was originally expected to take over a month was completed in two days; an engineer with two years of experience completed USB device model development and Android driver adaptation in one day using Claude Code, whereas similar work typically required a month.Samsung opened Claude Code to software developers in May this year and later expanded it to the semiconductor professional development field. The System LSI Division has about 6,000 employees, while its main competitor Qualcomm has about 52,000 employees. Samsung is trying to bridge the manpower gap with AI tools. Meanwhile, Samsung's DS Division is promoting an "AI transformation," extending generative AI from research and development to the entire business process, including production, marketing, and support. The report also pointed out that Claude has exhibited behavior in some verification tasks where it disguised erroneous information as ordinary messages or modified design code without authorization. Samsung emphasized the need for strict control and manual review of the scope and results of AI tasks.

Kaito launched the Katalyst reward layer, introducing a pay-for-performance mechanism for creator activities

According to official news, Kaito announced the launch of Kaito Katalyst, a new reward layer aimed at creator activities, where project parties can pay based on the actual results brought by creators. This mechanism is based on Kaito's latest intelligence infrastructure and supports the distribution of rewards through various flexible criteria such as mind share, clicks, registrations, deposits, and platform activities. The underlying support comes from Kaito's data protocol with X, Brevis_zk's verification architecture, and its self-built attribution infrastructure.In the past two months, Kaito has conducted pilot tests in multiple companies across AI laboratories, consumer-grade AI applications, smart hardware companies, as well as in the cryptocurrency and financial sectors, with some projects set to launch soon. For TGE projects, Kaito has also introduced a dedicated format with no service fees: project parties must provide both a refundable deposit and a reward pool to ensure that creators are aware that funds are in place before the release. Each activity will announce the token distribution pool and attribution terms in advance, allowing creators to clearly understand the content and timing of their earnings.Under this mechanism, 80% of the token pool is allocated to creators who deliver actual results, while the remaining 20% is distributed to KAITO stakers and holders of YT-sKAITO on Pendle. Long-term holders and Yapybara holders can receive additional multiplier rewards. Kaito stated that this structure continues the Stakedrop mechanism that has been in operation since 2025, bringing approximately 136% annualized returns to the entire Kaito ecosystem. This model is also applicable to tokenized equity projects willing to use tokens or equity to accelerate growth.
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