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OpenAI 28-Day Sprint Day 7: Sol’s Default Context Window Expands to 500,000 Tokens, Subscribers No Longer Charged Extra for Long Context

53 minutes ago

Beating AI News Brief: OpenAI Product and Platform Lead Thibault Sottiaux has announced Day 7 of the company’s 28-day product sprint. GPT-6.1 Sol’s default context window in Codex and ChatGPT Work has been expanded from 272,000 tokens to 500,000 tokens, an approximately 80% increase. The larger window reduces instances of automatic context compression during long tasks, enabling the model to retain more details from prior conversations and task inputs. Sottiaux noted the new default setting was specifically tested, and users can still adjust the window size up or down, with a maximum limit of 1 million tokens. Notably, while larger context windows were previously only available via manual configuration, this update makes the expanded window the new default. Additionally, OpenAI will no longer charge long context surcharges for GPT-6.1 Sol users on ChatGPT subscription plans.

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NEAR hits new yearly high, prominent X trader mk4 sees unrealized profit exceed $20 million.

As monitored by TradingBeats, on October 12, the NEAR perpetual contract on Hyperliquid hit a high of $5.959, marking a new yearly high. The price is currently quoted at around $5.862, up approximately 10.66% in 24 hours. Trader mk4 (X: @mk4_lul) still holds roughly 5.7565 million NEAR in long positions, with a position value of about $33.74 million, an average entry price of just $2.353, an unrealized profit of around $20.2 million, and a return of approximately 1491%. NEAR is currently the only long position in this address’s main contract account; the trader also holds short positions in seven other assets including BTC, ETH, and SOL, with a combined value of roughly $14.53 million and a net unrealized loss of about $1.18 million. After offsetting long and short positions, the net unrealized profit of all current contract positions is approximately $19.02 million; no position reductions or public orders have been placed so far.

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Goldman Sachs raises its December Brent crude oil price forecast to $90 per barrel, while maintaining its 2027 average price forecast at $80 per barrel.

Goldman Sachs released a report stating it maintains its base case that ongoing adjustments to Middle East oil supplies will eventually push crude prices lower, though renewed conflict remains a significant upside risk. The bank raised its December Brent crude price forecast to $90 per barrel, while keeping its 2027 average Brent crude forecast at $80 per barrel. It also projects December 2024 WTI crude prices to average $81 per barrel, and 2027 WTI prices to average $73 per barrel. Goldman Sachs noted that if 2027 average daily oil production in the Gulf region is 5 million barrels lower than its February 2026 level—instead of the 300,000-barrel drop in the base case—2027 average Brent crude prices could reach around $125 per barrel. Conversely, if 2027 average daily Gulf production is 1 million barrels higher than its February 2026 level, Brent crude prices could fall to above $60 per barrel in 2027. (Jin10)

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DRV has surged over 10 times year-to-date, with the on-chain options sector continuing to heat up.

According to HTX market data, DRV, the token of on-chain options protocol Derive, has rallied over 1000% year-to-date, hitting a historical high of $0.575 at one point, and is currently trading at $0.4668.

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This Week's Macro Outlook: CPI Data Tests Fed's Stance on Pausing Rate Hikes, IMF Speech by Walsh Takes Center Stage

This week, global markets will focus on the U.S. September CPI data to assess whether the Federal Reserve will maintain its "non-consecutive rate hike" stance. While most Fed officials believe another rate hike may be possible this year, recent comments show they are in no hurry to act at consecutive meetings. Market pricing for a rate hike on October 28 has fallen to around 19%, while a December rate hike is fully priced in. Geopolitically, the stalemate between the U.S. and Iran and the escalating situation in Yemen continue to support oil price risk premiums, while the U.S.-Russia diesel supply agreement has limited short-term impact. Key events are as follows: Tuesday: Cleveland Fed President Mester delivers a speech; Fed Governor Waller speaks at the India Bloomberg New Economy Forum; U.S. September NFIB Small Business Confidence Index, ADP employment change for the week ending September 26, and September existing home sales (annualized); OPEC releases its monthly oil market report. Wednesday: U.S. September CPI and core CPI; Fed officials make a flurry of remarks ahead of the release of the Beige Book; Boston Fed President Collins, Fed Governor Bowman deliver speeches; IEA releases its monthly oil market report. Thursday: U.S. API crude oil inventories for the week ending October 9; U.S. initial jobless claims for the week ending October 10, September retail sales, September PPI and core PPI, October New York Fed and Philadelphia Fed manufacturing indexes; G20 Finance Ministers and Central Bank Governors Meeting. Friday: Fed Chair Powell attends the IMF Annual Meeting in Bangkok and holds a fireside chat with IMF Managing Director Georgieva; Cleveland Fed President Mester delivers another speech; U.S. September Import Price Index, industrial production; U.S. EIA crude oil inventories for the week ending October 9.

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Tencent ventures into the personal AI agent product market, Yuanbao Assistant to launch a standalone app.

Dongcha Beating AI News Flash, as cited by media outlet Dujia, reports that Tencent’s Yuanbao is developing a personal AI agent named "Yuanbao Assistant", with plans to launch a standalone app. The new product will operate in its own space with separate permissions from the main Yuanbao app, focusing on long-term memory and continuous task execution. Users can assign long-term follow-up tasks to the AI without needing to restart conversations each time. Multiple business departments within Tencent are also working on personal AI agent-related features, including its social business unit. Recently, Ant Group’s Lingguang has started internal testing of long-term task hosting functions, while ByteDance and Alibaba are also advancing similar products.

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Papertrade’s trading funds have dwindled to just $6.4 million, plunging nearly 70% in 24 hours.

According to official data, HyperEVM-based synthetic perpetual protocol Papertrade has been live for 36 hours since its Saturday evening launch. After an initial boom, trading has cooled sharply, with trading volume and open interest (OI) plummeting. The platform’s cumulative notional trading volume exceeds $770 billion, while its total value locked (TVL) stands at $62.6 million, down 37% in 24 hours. Open interest positions hit $510 million, a roughly 85% drop from $3.3 billion 24 hours prior. The total margin for all existing positions is now just $6.4 million, down around 70% from $20.29 million 24 hours ago. Papertrade is a fully on-chain synthetic perpetual trading platform deployed on HyperEVM, fetching prices from the best bid/offer (BBO) mid-price of Hyperliquid’s order book. Users trade directly against the protocol’s liquidity providers (LPs) instead of via traditional order book matching. The protocol features high leverage, zero slippage, and no funding fees. Its native token PAPER has an initial supply of zero, with no pre-mined tokens, team allocations, or VC shares. The only source of minted PAPER is user losses or liquidations. During its early launch phase, the token is not freely transferable and is primarily used for staking.

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