Huobi Weekly News

HuobiPublished on 2022-12-11Last updated on 2022-12-11

Abstract

What happened in the crypto market this week? Let's review it.

1. Huobi will list CNHT with USDD trading pairs;

2. Ethereum developers target March 2023 for release of staked ether;

3. Hong Kong Legislative Council passed bill, the licensing regime for virtual asset service providers will ake effect on June 1, 2023;

4. UK finalises plans for regulation of ‘wild west’ crypto sector;

5. Russian parliament official: Crypto will receive a legal status in Russia next year.

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#POLICY

1. Data: The Fed shrunk its balance sheet by $92.294 billion in November;

2. Pakistan launches new laws to expedite CBDC launch by 2025;

3. Russian parliament official: Crypto will receive a legal status in Russia next year;

4. EU financial regulator to address off-shore crypto companies;

5. UK finalises plans for regulation of ‘wild west’ crypto sector;

6. Japan Financial Services Agency extends FTX Japan business suspension order;

7. Japan recommends against algorithmic backing in stablecoins;

8. Bank of Russia wants to ban miners from selling crypto to Russians;

9. US regulator to seek feedback on DeFi's impact on financial crime;

10. Hong Kong Legislative Council passed bill, the licensing regime for virtual asset service providers will ake effect on June 1, 2023;

11. Kazakhstan’s parliament adoptes digital assets bill to regulate mining among other crypto activitie;

12. EU crypto taxation proposal will target all companies that offering EU residents crypto services;

13. Senator Markey introduces legislation to combat energy-intensive cryptomining.

”“

#CRYPTOCURRENCY

1. Glassnode: Stablecoin dominance has spiked since FTX from 10% to 12.5%;

2. CoinShares: Digital asset investment products saw outflows totalling $7.5m last week;

3. USDC issuer Circle terminates SPAC listing plan;

4. Bitcoin mining difficulty decreased by 7.32% to 34.24T;

5. Polygon PoS chain launched "parallel EVM" upgrade;

6. GBTC's negative premium rate expanded to 43.53%;

7. Polygon: First batch of ownership and distribution of $450 million in financing completed;

8. Gnosis merge is expected to be held on December 8;

9. Huobi will list CNHT with USDD trading pairs;

10. Ethereum Foundation allocates $8.04 million in rewards to 69 projects and communities in Q3;

11. Report: The support level of ETH in 2023 may be at $1,000;

12. US Sen. Cynthia Lummis: BTC is the only cryptocurrency that can be considered a commodity, ETH is now a security;

13. OFAC compliant Ethereum blocks drops to 65%;

14. Ethereum developers target March 2023 for release of staked ether;

15. Ethereum Shandong testnet has been deprecated, new public testnet will launch next week;

16. Arthur Hayes: BTC hits the lows of this cycle during the recent FTX / Alameda catastrophe.

”“

#NFT

1. Coca-Cola releases FIFA World Cup NFTs based on heatmaps from matches;

2. NFT sales volume drops 20% in November;

3. Aave companies acquires NFT-based Sonar;

4. Atari collaborating with Pixels for print-on-demand NFT artwork;

5. Blur offers some NFT traders 50% refund after ether losses from UI 'bug'.

”“

#DEFI

1. ApeCoin DAO launched a vote on the proposal to build an APE ecological website;

2. SushiSwap proposes to direct 100% of xSUSHI revenue to treasury wallet;

3. Uniswap Foundation proposes changes to crypto DEX's governance, voting processes.

”“

#FUNDING

1. Blockchain carbon credit trading platform AirCarbon is seeking $50 million in Series B financing;

2. French VC firm Partech raises €120 million to invest early-stage tech startups;

3. East African bitcoin miner Gridless raises $2M seed round;

4. Bitwave raises $15 million Series A to expand crypto accounting software;

5. Crypto firm Blockstream seeks funding at a lower valuation in tight market.

”“”

#METAVERSE

1. Decentraland launches metaverse land rental;

2. Meta introduces virtual avatars to WhatsApp.

“”

#WEB3

1. Filipino startup accelerator A-Labs launches $10M Web3 fund;

2. Web3 entertainment platform PlayMining launches new coin pusher GameFi ‘Lucky Farmer’;

3. Starbucks opens up its blockchain-based loyalty program and NFT community to first U.S. beta testers.

“”

#OTHER

1. Genesis creditor groups' loans amount to $1.8B and counting;

2. Mizuho, SBI and Datachain jointly launch cross-chain technology research;

3. Technology blogger: Twitter may launch Twitter Coin rewards function;

4. Bank of America says regulation is key for mainstream adoption of crypto ;

5. Gensler will brief House Democrats before FTX hearing;

6. Crypto pressure ratchets up as FTC probes several firms over ads;

7. Goldman Sachs on hunt for bargain crypto firms after FTX fiasco;

8. A $200 million investment program from Animoca and BNB Chain only closes few investments;

9. Hong Kong funds seek approval for crypto-linked retail ETFs;

10. Elon Musk: ChatGPT cannot yet be called AGI;

11. H.E. Justin Sun: Next crypto bull market will depend on the Chinese;

12. Microsoft: DEV-0139 launches targeted attacks against the cryptocurrency industry;

13. Zodia Custody rolls out service to protect client assets from exchange insolvency;

14. U.S. House committee weighing subpoena for Sam Bankman-Fried;

15. House Financial Services Chair Waters doesn’t plan to subpoena Sam Bankman-Fried to testify at hearing on FTX collapse;

16. Twitter to change blue pricing after Apple spat;

17. MicroStrategy will teach corporations how to adopt Bitcoin at in-person event;

18. Musk's bankers mull new Tesla margin loans to slash Twitter debt;

19. Japan’s second-largest bank Sumitomo Bank to use soulbound tokens for identity verification;

20. US probes FTX founder for fraud, examines cash flows to Bahamas;

21. Bahamian attorneys pursue access to FTX data of international customers.

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

Chip stocks led a broad decline in US markets, with the Nasdaq dropping 2.2% and the S&P 500 falling 1.4%. This selloff reflects a dual challenge for the once-high-flying AI hardware trade: rising interest rate expectations and growing investor impatience for clear returns from massive AI capital expenditures. The pressure was most acute on hardware leaders. Nvidia fell about 4%, dipping below a $5 trillion market cap, while Micron plunged 13.2% ahead of its earnings report. Declines across memory, storage, AI, and mobile chips indicated a sector-wide retreat. The selloff spread globally, with South Korea's KOSPI index dropping nearly 10% as key suppliers SK Hynix and Samsung recorded double-digit losses. Investors appeared to be taking profits from the most crowded trades first. Macro headwinds intensified as market expectations shifted toward a more aggressive Federal Reserve. Forecasts for multiple rate hikes in 2026 pressured high-valuation tech stocks, which rely on long-term growth projections that become less attractive as discount rates rise. Concurrently, investors are scrutinizing the profit potential of the immense AI spending by cloud giants like Alphabet, Amazon, and Meta. While these expenditures drive demand for chips and hardware, the market is now questioning whether AI services will generate sufficient returns to justify the ongoing costs. This adjustment is not necessarily a bubble burst but a recalibration. AI demand fundamentals remain, but the narrative of endless growth can no longer fully offset concerns over higher interest rates and a longer path to profitability. Near-term direction may hinge on Micron's upcoming earnings guidance and incoming inflation data, which will influence both the AI demand outlook and the Fed's policy path. The market is transitioning from blindly buying growth to demanding clearer visibility on returns.

marsbit33m ago

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

marsbit33m ago

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

OpenAI's new paper "Reinforcement Learning Towards Broadly and Persistently Beneficial Models" explores training AI to maintain safe, helpful, and honest behavior even under pressure, in unseen scenarios, or after being fine-tuned for harmful purposes. Moving beyond simple rule-based "don'ts," the research focuses on cultivating "beneficial traits" like honesty, risk-awareness, corrigibility, and transparency. It investigates if reinforcement learning (RL), often prone to "reward hacking" where models exploit loopholes, can instead be used to instill robust, generalized positive behaviors. Researchers created a multi-domain synthetic dialogue dataset covering areas like healthcare and law. They trained a model by replacing 5% of standard RL data with "beneficial trait" data. This model outperformed the baseline in 83% of 53 evaluations, showing average gains of 9.1% in alignment, safety, and helpfulness. Crucially, improvements generalized: a model trained only on healthcare "good behavior" data also performed better in 17 out of 19 non-healthcare alignment tests. The paper also tests "alignment persistence." When subjected to adversarial prompts or harmful fine-tuning, the beneficial trait model showed greater resilience, with smaller performance drops and less "spillover" of bad behavior to unrelated tasks. While not a complete solution, this work suggests a shift from post-hoc correction to proactively shaping robust, principled AI behavior, a critical step for deploying models in high-stakes, complex decision-making scenarios.

marsbit36m ago

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

marsbit36m ago

Goldman Sachs Revisits the State of the AI Boom: Strong Earnings Will Override Valuation Concerns Until the Investment Cycle Peaks, Volatility to Rise Further

Goldman Sachs discusses the current AI investment boom, arguing it is not a simple repeat of the 1999-2000 bubble. Unlike the dot-com era, current valuations are not wildly out of control because earnings expectations are rising in tandem with stock prices. The key issue is that market prices have already priced in substantial optimism, making them sensitive to any narrative shifts. The core risk has shifted from "valuation bubble" to "earnings bubble." While strong profits from companies in semiconductors, cloud infrastructure, and data centers currently outweigh valuation concerns, this is dependent on the ongoing capital expenditure cycle. The true test will be whether these robust earnings can be sustained after the investment cycle peaks. Current market prices imply optimistic assumptions, such as faster AI adoption, higher productivity gains, and a larger share of economic profits going to capital owners. The AI boom may also be masking relative weakness in the non-AI sectors of the economy. As a result, market volatility is expected to rise. Goldman recommends that investors consider maintaining exposure while adding downside protection, such as put options, to manage potential drawdowns.

marsbit39m ago

Goldman Sachs Revisits the State of the AI Boom: Strong Earnings Will Override Valuation Concerns Until the Investment Cycle Peaks, Volatility to Rise Further

marsbit39m ago

Zuckerberg Enters the Prediction Market

Mark Zuckerberg's Meta has entered the predictive markets arena with a new app called "Arena." Currently in an early experimental phase, Arena will initially operate as a standalone app using a points-based system where users can predict outcomes on politics, sports, and world events without real money. Meta plans to leverage its vast daily active user base for growth. The move comes as the predictive market industry sees explosive growth, with platforms like Polymarket and Kalshi handling hundreds of billions in volume. While a points system avoids initial regulatory hurdles, Meta hasn't ruled out introducing real-money betting later. The strategy aligns with Meta's pattern of adopting popular trends, though challenges remain, including regulatory scrutiny and the historically mixed success of its standalone apps.

Foresight News45m ago

Foresight News45m ago

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

The core of recent semiconductor stock volatility is not about daily price swings, but rather the market questioning whether AI-driven semiconductor pricing has entered a new phase. Following a sharp sell-off in Korean stocks on June 23rd, led by Samsung and SK Hynix, a subsequent rebound is seen more as a technical positioning adjustment rather than a confirmed trend reversal. The key variable is HBM (High Bandwidth Memory), essential for AI chips. Its supply-demand imbalance granted memory makers significant pricing power. The current market focus is on whether this dynamic remains strong enough to justify elevated valuations. All eyes are on Micron's upcoming earnings report. The critical factor is not whether results meet already high expectations, but whether the company's guidance confirms that AI memory pricing power, order visibility, and future margins are still expanding. Micron's outlook will serve as a crucial test for the broader AI semiconductor chain, including Samsung, SK Hynix, and other infrastructure players. The recent bounce appears to be a pre-earnings positioning repair. For it to evolve into a sustained uptrend, concrete evidence is needed that the AI infrastructure expansion cycle's fundamentals—particularly for high-end memory—remain robust and can continue to surpass elevated market expectations. The risk is that strong demand alone may not be sufficient if future guidance hints at peaking momentum or increasing supply-side pressures.

marsbit1h ago

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

marsbit1h ago

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