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Oct 2
Life after Meta: Manus regains independence, debuting Manus 2.0 and 'Cue' AI agent
Following its return to independent operations, AI startup Manus unveiled two new products in late September 2026: Manus 2.0 and "Cue," a personal agentic AI application. The product rollouts mark the company's first major strategic moves after its planned acquisition by Meta fell through.
Lite-On Technology is stepping up its strategic investment in server hardware manufacturing and electric vehicle (EV) charging software integration to support overall revenue growth. On October 2, the company announced that its board approved a capital expenditure plan to expand capacity at its Kaohsiung branch in southern Taiwan. Its wholly owned US subsidiary Leotek Electronics also announced the acquisition of California-based EV charging software provider AmpUp through a reverse triangular merger.
Anthropic has warned that GLM-5.3, the latest model from Chinese AI startup Z.ai, approached Claude Mythos Preview on an exploit-development benchmark but lacks sufficient safety protections, raising concerns that malicious actors could use it for cyberattacks.
South Korea's government is pushing to join the "global top three AI powers," but the AI semiconductor development program led by the Ministry of Trade, Industry and Resources (MOTIR) had spent nothing by the end of August 2026. The core AI semiconductor budget for 2026 totaled KRW166.554 billion (about US$119 million), according to Edaily and Newdaily, yet cumulative execution remained at KRW0.
Across the week, Taiwan-linked semiconductor groups and their partners continued expanding capacity, while AI demand, export controls, and financing structures shaped the industry outlook. ASML's push to raise EUV output comes as Musk and Huang warn China may narrow the lithography gap by 2030. TSMC is also tied to Texas, Singapore, and Tesla projects, while ASE added test capacity. Meanwhile, a US smuggling case and Broadcom's Anthropic financing highlight growing geopolitical and financial risk.
Japan plans to detail the first five years of Prime Minister Sanae Takaichi's more than JPY370 trillion (US$2.3 trillion) 14-year investment initiative, which is designed to spur investment in AI and other strategic sectors, according to documents submitted Thursday, October 1, to Japan's Growth Strategy Council.
As the number of AI computing transistors integrated within a single CoWoS package rises rapidly, DIGITIMES observes that moving massive volumes of data to compute chips fast enough is becoming increasingly critical to fully utilizing available computing power.
Acer said it led Canada's Windows personal computer market in August 2026, according to the latest Circana data. The company reported a 22.9% market share in the country and said its sales rose 18.3% from a year earlier, compared with an industrywide decline of 23.2%.
As AI develops rapidly across both cloud and edge environments, major chipmakers are devoting less attention to chip specifications and more to system-level design and ecosystems. For IC design leaders, moving into the system layer has become a key factor for upgrading in the AI era, because simply supplying chips is no longer enough to stay competitive in AI product lines.
Surging electricity demand driven by artificial intelligence, combined with growing public backlash against data center developments, is elevating energy developers into the new powerbrokers of the AI economy. Beyond maximizing land value through grid access, some energy-rich operators are moving up the technology value chain and could become direct purchasers of IT equipment.

India is expanding its role across semiconductors, electronics and digital services, as new investment rules, supply-chain localization and Apple initiatives highlight both the country's progress and remaining constraints.

Synopsys is reshaping how it monetizes its two core businesses, electronic design automation (EDA) and semiconductor IP, as AI transforms engineering workflows. Announcements at the company's 2026 Investor Day in New York, including new partnerships with OpenAI and Amazon, point to revenue models increasingly tied to customer consumption, design outcomes, and eventual chip shipments rather than primarily to engineer seats or upfront licensing.