Multicoin Capital Co-Founder Kyle Samani Exits Firm Amid Market Downturn

TheNewsCryptoPublicado a 2026-02-05Actualizado a 2026-02-05

Resumen

Multicoin Capital co-founder Kyle Samani has announced his departure from the firm after a decade, a move that coincides with a major crypto market downturn. He described the decision as "bittersweet" and personal, not driven by panic, and expressed full confidence in the firm's leadership. Samani clarified he is not leaving the crypto industry, opting for an "in-kind redemption" to receive shares in Forward Industries—a Solana-focused company he chairs—instead of cash. He remains "Mega long on Solana and Mega long on crypto overall" and plans to stay active in the sector. His exit highlights a significant shift but underscores his continued belief in Solana's long-term potential.

Kyle Samani, Co-founder of Multicoin Capital and the strongest supporter of Solana, has announced that he is stepping down from the Multicoin Capital firm after a decade. This decision comes during the major crypto crash and raises questions about the loss of confidence in Solana.

In a public statement, he described his decision as “Bittersweet”. He said that his time in Multicoin Capital was one of the most meaningful periods of his life, and he plans to take a break to explore new technologies. He clearly says that this decision was personal and not driven by panic. Additionally, he expressed full confidence in Mukticoin Capital’s leadership and trust in Tushar Jain.

Samani’s Clear Statement on Not Leaving Crypto

Samani strongly rejects the idea of giving up on crypto. He explained his exit clearly by requesting an “in-kind redemption,” which means he receives shares and warrants in Forward Industries instead of taking money from Multicoin Capital. Forward Industries is a publicly listed company with a significant exposure to the Solana ecosystem, which is chaired by Samani itself. This shows that he is still keeping his money invested in crypto.

Samani made his position in the Crypto industry very clear that he is still Mega long on Solana and Mega long on crypto overall. He added that he will remain active in the industry personally and professionally.

Samani’s exit has become one of the major moves in the crypto industry as it happened during the crypto market crash. However, his statements and continued investment in the Solala show his confidence in the long term potential of the ecosystem. Multicoin Capital continues to work without him, but as he mentioned, the experienced leadership team is still in place.

Highlighted Crypto News:

Bitnomial Launches First-Ever U.S.-Regulated Tezos (XTZ) Dollar Futures

Preguntas relacionadas

QWhy did Kyle Samani step down from Multicoin Capital?

AKyle Samani described his decision to step down as personal and not driven by panic. He plans to take a break to explore new technologies after a decade with the firm.

QHow did Kyle Samani structure his exit from Multicoin Capital to maintain his crypto exposure?

AHe requested an 'in-kind redemption,' receiving shares and warrants in Forward Industries, a publicly listed company with significant exposure to the Solana ecosystem, rather than taking cash.

QWhat is Kyle Samani's current stance on Solana and the broader crypto market?

ASamani stated that he is 'Mega long on Solana and Mega long on crypto overall' and plans to remain active in the industry both personally and professionally.

QWhat was the market context surrounding Kyle Samani's departure from Multicoin Capital?

AHis decision to exit the firm came during a major crypto market crash, which led to questions about confidence in Solana.

QWho is leading Multicoin Capital after Kyle Samani's departure?

ASamani expressed full confidence in the firm's leadership and trust in Tushar Jain, noting that the experienced leadership team is still in place.

Lecturas Relacionadas

CLARITY Act: Banking Trade Groups Push For Yield Agreement Revision – Details

US banking trade groups are urging revisions to the stablecoin yield compromise in the upcoming CLARITY Act ahead of a key committee markup. The Act currently aims to ban all passive, deposit-like interest on stablecoins to prevent competition with traditional bank savings, while allowing rewards tied to active uses like staking or transactions. In a letter, groups including the American Banking Association and Bank Policy Institute proposed stricter language to eliminate perceived loopholes for passive yield and prevent deposit flight from banks. However, these efforts are reportedly viewed as minor by some lawmakers. The Senate Banking Committee is scheduled to mark up the bill on May 14, a critical step before it can advance through Congress.

bitcoinistHace 12 hora(s)

CLARITY Act: Banking Trade Groups Push For Yield Agreement Revision – Details

bitcoinistHace 12 hora(s)

This Finance CEO Picks Solana Instead Of Bitcoin — Here’s Why

Finance CEO Raoul Pal prefers Solana over Bitcoin, citing its high throughput and low transaction costs as better suited for the future crypto-AI era. He believes Solana is ideal for machine-to-machine microtransactions and AI-driven DeFi activity, predicting AI agents will soon dominate DeFi users. While Bitcoin serves as a store of value, Pal sees higher growth in networks built for mass, automated transactions. This view was highlighted at Consensus 2026, where AI integration and crypto infrastructure were key themes.

bitcoinistHace 12 hora(s)

This Finance CEO Picks Solana Instead Of Bitcoin — Here’s Why

bitcoinistHace 12 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHace 13 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHace 13 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHace 14 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHace 14 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHace 15 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHace 15 hora(s)

Trading

Spot

Futuros