General Fusion began trading on the Nasdaq under the ticker GFUZ, becoming the first publicly listed fusion power company, ahead of Trump-backed TAE Technologies. The stock surged 40% on its debut. The company went public via a reverse merger with Spring Valley Acquisition Corp. III, though high SPAC redemptions left it with far less than the potential $230 million — likely under $30 million after fees. Combined with $108 million raised from private investors, General Fusion holds about $150 million in cash. The company had faced serious financial difficulties in 2025, including layoffs of at least 25% of staff and a 'pay to play' emergency round. Founded in 2002, General Fusion has raised over $600 million total and pursues magnetized target fusion technology. Its breakeven milestone has been pushed back to 2028 or later, with a first power plant targeted for around 2035.
Nguồn: https://techcrunch.com/2026/07/13/investors-send-general-fusion-soaring-in-debut-as-first-publicly-traded-fusion-company. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
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China's LimX Dynamics raised $200m at a $2.21bn valuation. Its founder says “listing is a must” as 100-plus Chinese humanoid firms race to go public.
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Sắp ra mắtIsraeli quantum computing companies Quantum Art and Classiq are in advanced talks to go public on Wall Street via SPAC mergers, with potential valuations between $2 billion and $5 billion each. Quantum Art develops trapped-ion quantum hardware and has raised ~$200 million, while Classiq builds cross-platform quantum software with partnerships including Nvidia, Microsoft, and AWS, and has raised a similar amount. The deals reflect a broader wave of quantum companies entering public markets — five have already gone public via SPACs in 2026, with another five in advanced talks, totaling ~$70 billion in combined valuation. Around 30 SPACs are reportedly searching for quantum acquisition targets. Israel has emerged as a significant quantum hub, ranking fifth globally in investment with ~$800 million deployed. The sector still faces major risks: most companies are pre-revenue, valuations rely on future expectations, and fault-tolerant quantum computers remain unachieved.
A new NVCA-Pitchbook Venture Monitor report highlights that the combined IPOs of SpaceX, Anthropic, and OpenAI are projected to generate more value than all U.S. VC-backed exits since 2000. SpaceX went public at a $1.77 trillion valuation, and with Anthropic and OpenAI both pushing into the trillions, the trio could collectively exceed $4 trillion. For context, total U.S. IPO proceeds last year were just $70 billion. Key factors driving this scale include companies staying private longer and the capital-intensive nature of AI training inflating valuations.
Investor Chamath Palihapitiya appeared on The Axios Show and criticized Meta for squandering its early AI advantage, arguing the company had the data, distribution, and reach to dominate open-weight AI but failed to seize the moment — leaving that lane to Nvidia and others. He framed the AI market as three pillars: closed US labs (OpenAI, Anthropic), Chinese open-weight challengers (DeepSeek), and an open-source American lab that Meta could have owned. He also dismissed fears of an AI-driven jobs apocalypse, citing historical patterns of technology expanding human activity rather than eliminating it. In a rare personal admission, he acknowledged his SPAC incentives were 'grossly misaligned,' conceding that his earlier defenses were driven by insecurity. He described a redesigned SPAC vehicle with vesting tied to investor returns, and noted he now runs his own AI startup called 8090.
Jersey Mike's IPO S-1 filing mentions AI 22 times despite being a sandwich chain with no meaningful AI products. The piece uses this as a lens to critique how pervasive AI hype has become, with companies across all industries feeling compelled to sprinkle AI references into investor documents to satisfy market appetite. The author draws a humorous comparison: weather risk was mentioned 5 times and lightning zero times, yet AI risk warranted 22 mentions for a company that sells submarine sandwiches.

Mike Winston, founder of Jet.AI (NASDAQ: JTAI), explains how building production AI tools for private aviation gave the company early insight into the data center power shortage. Running real inference workloads against operational cost constraints revealed that compute and power demands far exceed what outside observers typically estimate. This led to a strategic pivot: transferring aviation operations to flyExclusive, launching the Convergence Compute joint venture targeting one gigawatt of data center capacity, and raising $138 million through the AI Infrastructure Acquisition Corp. SPAC. A key thesis centers on aero-derivative gas turbines — retired jet engine cores repurposed for rapid stationary power generation — as a bridging solution for data centers unable to wait years for new grid connections or conventional turbine deliveries. The article also covers Winston's financial background, the structure of JTAI's remaining assets post-aviation-sale, and the execution risks facing both the organic buildout and the SPAC acquisition timeline.
Syntiant, an Irvine-based edge AI chipmaker, has filed an S-1 with the SEC to list Class A shares on the Nasdaq under ticker SYTN. The company designs low-power processors and software for on-device AI in earbuds, wearables, cars, drones, and industrial machinery. It reported $64.5mn in revenue for Q1 fiscal 2026 with a net loss of $26.2mn. Syntiant has raised $311mn to date, backed by Intel, Microsoft, Amazon Alexa Fund, and Bosch Ventures, and recently acquired Knowles' MEMS microphone business for $150mn. The IPO terms and pricing remain undisclosed, with listing expected later in 2025. The company competes with Qualcomm and Ambarella in the low-power inference chip market, with over 100 million processors shipped.
Pasqal is listing on Nasdaq via a SPAC at a $2bn valuation, about 100x revenue. Its filings warn quantum may never pay off, and France can vet buyers.