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The TAO Subnet Team Praised by Jensen Huang Has Parted Ways with the Founder Amidst a Fallout

Nvidia CEO Jensen Huang recently praised the decentralized AI project Bittensor (TAO) during a podcast, specifically highlighting a 72-billion-parameter Llama model trained collaboratively by a subnet team called Covenant AI. This endorsement initially boosted TAO's price, but the situation deteriorated rapidly when Covenant AI's founder, Sam Dare, publicly announced the team's departure from the Bittensor network. Covenant AI accused Bittensor and its key figure, Jacob Steeves (known as Const), of centralization and abuse of power, contradicting Bittensor’s decentralized ethos. The team claimed that Const exercised unilateral control by halting subnet emissions, removing administrative rights, discarding infrastructure, and using token sales to pressure the team. They argued that Bittensor’s governance is effectively centralized under Const, despite claims of distributed control. As a result, Covenant AI decided to leave, intending to continue its work on decentralized AI training elsewhere. The exit has sparked significant concern within the Bittensor community, raising doubts about the network’s decentralization narrative, technical future, and token value. TAO’s price fell sharply following the news. Const responded vaguely on social media, suggesting the event would push Bittensor toward more decentralized, “headless” subnets, but has not addressed the specific allegations in detail. The incident has damaged Bittensor’s reputation while raising Covenant AI’s profile.

Odaily星球日报04/10 03:08

The TAO Subnet Team Praised by Jensen Huang Has Parted Ways with the Founder Amidst a Fallout

Odaily星球日报04/10 03:08

a16z: 30% of Fortune 500 Companies Are Already Paying for AI, with Coding and Customer Service Leading the Way

Based on internal data and analysis, a16z challenges the claim that 95% of enterprise generative AI pilots fail, reporting that 29% of Fortune 500 and 19% of Global 2000 companies are already active paying customers of leading AI startups. The most significant value and adoption are seen in programming, support, and search use cases. Programming is the dominant application, with AI coding tools boosting top engineers' productivity by 10-20x. Support function is another major area, where AI excels at handling high-volume, transactional, and procedure-driven tasks with clear ROI. Search, a core ChatGPT use case, is also a key horizontal category. The tech industry is the leading adopter, but historically slower sectors like legal and healthcare are also embracing AI rapidly. Legal AI tools enhance lawyer productivity in parsing text and drafting, while healthcare AI automates administrative tasks and augments clinical work. Model capabilities are improving rapidly across economically valuable tasks. The analysis suggests that industries with text-based, repetitive, and verifiable work are adopting fastest, but as AI capabilities expand, new opportunities will emerge in other sectors.

marsbit04/10 02:47

a16z: 30% of Fortune 500 Companies Are Already Paying for AI, with Coding and Customer Service Leading the Way

marsbit04/10 02:47

Solana price consolidates in KEY range: Could SOL fall under $50?

Solana (SOL) has been consolidating within a $78–$92 range since early February, following a sharp drop on March 5. Despite brief attempts to rise above the 50-day moving average (currently at $85.43), SOL has consistently failed to sustain above it since November 2025. This pattern has repeated multiple times, with each consolidation below the 50-day MA followed by a significant sell-off. Analysts suggest that if SOL remains unable to reclaim and hold above this key level, another downward move is likely. The long-term bearish outlook remains, with expectations that SOL could eventually fall below $50, especially after the rejection of the $95.26 resistance level in March.

ambcrypto04/10 02:37

Solana price consolidates in KEY range: Could SOL fall under $50?

ambcrypto04/10 02:37

Base Official Selection: 12 Promising Projects Chosen from 1,175 Applications

Base has officially selected 12 standout projects from 1,175 applications for its accelerator program, signaling a strategic focus on high-potential on-chain ecosystems over independent unified stacks outside the OP Superchain. The chosen projects span key sectors including DeFi, prediction markets, AI agents, and payments. Highlights include: BlockRunAI (AI agent infrastructure with x402 pay-per-use payments), a stealth prediction market with novel leverage primitives, 0x4Mica (micropayment clearing for AI agents), Opal DEX (privacy-focused perpetual DEX), TradeOnsight (gamified social prediction platform), Credifi (uncollateralized lending via zkTLS), Tomorrow Loans (creator economy lending), AgentlyHQ (AI agent coordination layer), Nivo Finance (FX hedging for SMEs), JPEGapp (image-based prediction market), Floe Labs (AI agent credit infrastructure), and Liminal (AI-native neobank). Base is positioning itself as a major hub for on-chain innovation this cycle.

marsbit04/10 02:14

Base Official Selection: 12 Promising Projects Chosen from 1,175 Applications

marsbit04/10 02:14

Hot Interaction Collection | Cascade Private Beta is Live; KARPAK Mints SBT (April 10th)

**Hot Interaction Roundup: Cascade Private Beta Launches; KARPAK Mints SBTs (April 10)** **Cascade: 24/7 Stock and Crypto Perpetual Trading** Cascade is a crypto brokerage offering a trading app that operates 24/7, enabling users to trade cryptocurrencies, U.S. stocks, and private assets via perpetual contracts. Users can link their bank accounts and manage perpetual trading, portfolio-backed loans, and asset transfers within a single margin account. The platform has launched its private beta. Users can register via its official website using their X account and Google email, and join its Discord community. **KARPAK: Tokenizing Real-World Parking with DePIN** KARPAK is a DePIN project that converts real-world parking activities into on-chain, verifiable data assets. Parking data—such as duration, location, and cost—is collected, verified, and tokenized, allowing users to earn rewards, participate in governance, or receive revenue shares. The project has now launched its Soulbound Token (SBT). Users can mint the SBT by connecting a wallet (on BNB Chain), following KARPAK’s X account, and paying a small gas fee. **Pixie Chess: Web3 Chess with Crypto Incentives** Pixie Chess is a Web3 game combining classic chess, trading card mechanics, and crypto-economic incentives. It recently secured $5.2 million in seed funding led by Paradigm. Users can log in via wallet, create a profile, and choose gameplay modes, with video tutorials available to help them get started.

Odaily星球日报04/10 02:03

Hot Interaction Collection | Cascade Private Beta is Live; KARPAK Mints SBT (April 10th)

Odaily星球日报04/10 02:03

Pichai's 10-Year Tenure as Google CEO: Lows, Reversals, and Regrets

In a wide-ranging interview marking his 10-year anniversary as Google CEO, Sundar Pichai reflects on the company's journey in AI, from being an early innovator with the Transformer architecture to its current leadership position. Pichai addresses the "missed opportunity" narrative, explaining that internal versions of models like LaMDA (a precursor to ChatGPT) existed but were not released due to higher safety thresholds and early "toxicity" issues. He emphasizes that its research was always product-driven, and attributes OpenAI's success to a fortunate combination of factors, including identifying the coding use case early. Looking forward, Pichai asserts that search will not die but will evolve into an "agent manager," where users command AI to complete tasks. He reveals Google's massive capital expenditure, projected to reach $175-185 billion in 2026, is a testament to its belief in the AGI curve. However, he warns of a major supply crunch in 2026, citing critical bottlenecks in wafer capacity, memory, and even a shortage of electricians as fundamental constraints. Pichai also discusses Google's "hidden gems," including early-stage projects like space-based data centers, quantum computing (which he believes will excel at simulating nature), and robotics. He shares a regret: not investing more aggressively in Waymo earlier. Internally, Pichai reveals he personally spends at least an hour each week allocating scarce computing resources (TPU time), which has become the company's most critical allocation decision. He predicts that by 2027, business forecasting at Google will be fully automated by AI agents, marking a major shift in how work is done.

marsbit04/10 00:36

Pichai's 10-Year Tenure as Google CEO: Lows, Reversals, and Regrets

marsbit04/10 00:36

5.4 Billion Burned, Sora Dies: Anonymous Chinese Model Kicks Open the Next Door in 38 Seconds

In March-April 2026, two major events reshaped the AI video generation landscape. OpenAI shut down its flagship model Sora, citing unsustainable daily costs of $15 million and low user retention, effectively exiting the consumer video market. Shortly after, an anonymous Chinese model dubbed "HappyHorse-1.0" topped the blind-test leaderboard on Artificial Analysis with a score of 1357 in text-to-video (without audio), outperforming rivals like ByteDance’s Seedance 2.0. HappyHorse-1.4 seconds to generate 1080p video with audio on a single H100 GPU. Its unified Transformer architecture and distilled diffusion techniques significantly improved efficiency compared to Sora’s costly diffusion-based approach. The model is speculated to be developed by Alibaba or based on Sand.ai’s technology, though its anonymous release suggests strategic data collection and legal risk avoidance regarding copyright and deepfake regulations. Meanwhile, commercial leaders like ByteDance impose high barriers—including million-dollar API contracts and strict compliance checks—to mitigate legal risks, focusing on B2B applications rather than consumer use. Key emerging opportunities include automated e-commerce promo videos, AI-assisted short drama production, and localized ad creation for global markets, all driven by plunging generation costs and faster turnaround times. The competition has shifted from pure model performance to cost efficiency, workflow integration, and regulatory compliance.

marsbit04/10 00:19

5.4 Billion Burned, Sora Dies: Anonymous Chinese Model Kicks Open the Next Door in 38 Seconds

marsbit04/10 00:19

How Will $12 Trillion in Pension Funds Be Passively Injected into Bitcoin?

The US Department of Labor has proposed a new rule that could allow cryptocurrency investments, such as Bitcoin, to be included in 401(k) retirement plans, which hold $12 trillion in assets. This change addresses a key legal barrier: under the Employee Retirement Income Security Act (ERISA), plan fiduciaries previously faced personal liability for investment losses. The new "safe harbor" rule protects fiduciaries from lawsuits if they follow a documented process evaluating six factors like performance, fees, and liquidity. Cryptocurrency adoption in 401(k) plans is expected to occur primarily through target-date funds—the default investment option for most employees. Investors would passively gain exposure (likely 1-3% allocations) without actively choosing it, similar to how assets like gold entered retirement portfolios. Even a 1% allocation would channel over $120 billion into crypto, representing long-term, stable capital. However, significant risks remain. Bitcoin’s volatility could lead to substantial losses for retirees, and the legal protection for fiduciaries remains untested in court. The rule is under public review until June 1, and full implementation may take years.

marsbit04/10 00:12

How Will $12 Trillion in Pension Funds Be Passively Injected into Bitcoin?

marsbit04/10 00:12

YouTube Deletes Bitcoin.com Channel, Crypto Community Pushes Back

YouTube has deleted the Bitcoin.com channel without prior warning, citing "harmful and dangerous" content. The channel, which had over 100,000 subscribers and a decade of educational and news content, had its appeals rejected. This follows a pattern of crypto-focused channels being removed, including BTCsessions and Bitcoin Magazine, often reversed only after public backlash. The crypto community has criticized YouTube's automated moderation, citing unfair treatment compared to the platform's own scam ads. Creators are increasingly looking toward decentralized alternatives like Bitchat, Nostr, and Bluesky to avoid reliance on centralized platform policies.

bitcoinist04/10 00:02

YouTube Deletes Bitcoin.com Channel, Crypto Community Pushes Back

bitcoinist04/10 00:02

DeepMind Founder's Latest Interview: AGI May Be Achieved Within 5 Years, Scale 10 Times That of the Industrial Revolution, Previous Wave of Ideas Has Been 'Squeezed Dry'

DeepMind co-founder Demis Hassabis predicts that AGI, defined as a system with all cognitive abilities of the human mind, has a high probability of being realized within the next five years. He identifies compute power as the primary bottleneck, though scaling laws continue to yield significant returns. Key missing capabilities include continuous learning and robust generalization, which he terms "jagged intelligence." Hassabis believes AGI will become the most powerful tool in science and medicine, potentially leading to a golden age of discovery. He emphasizes the need for global coordination on AI safety and regulation, proposing an international framework similar to the IAEA. While acknowledging risks like misuse and labor disruption, he views the AI revolution as potentially ten times the scale and speed of the Industrial Revolution. He advocates for equitable distribution of benefits and sees AI driving breakthroughs in energy, materials science, and healthcare, including cancer cures.

marsbit04/10 00:00

DeepMind Founder's Latest Interview: AGI May Be Achieved Within 5 Years, Scale 10 Times That of the Industrial Revolution, Previous Wave of Ideas Has Been 'Squeezed Dry'

marsbit04/10 00:00

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