变形金刚1

Pakistan EC disqualifies former PM Imran Khan in Toshakhana Case_我的网站

A |     （本文作者王梦汐为马上消费研究院首席研究员）          人工智能技术路线的演进，构建起资本市场相关投资的底层逻辑，行业发展也需警惕资金短期异动带来的影响。    Islamabad, Oct 21 (UNI) In a major legal victory for the ruling coalition on Friday, the Election Commission of Pakistan (ECP), in a consensus verdict in Toshakana reference, disqualified former prime minister Imran Khan and ruled that the PTI chairman is no more a member of National Assembly.
Criminal proceedings will be initiated against the PTI chairman for misdeclaration, the verdict said.
The ECP stated that Imran Khan submitted a false affidavit and was found involved in corrupt practices under Article 63(1)(p).
Under the said article, a lawmaker is disqualified for the time being from being elected or chosen as a member of the Majlis-e-Shoora (parliament) or of a provincial assembly.
The decision was taken unanimously by the ECP’s five-member bench but the Punjab member Babar Hassan Bharwana was not present today as he was unwell.
"As sequel to our abovementioned findings, facts available on record and keeping in view the argument of learned counsel for parties herein, we are of the considered opinion that the Respondent has become disqualified under Article 63(1)(p) of the Constitution read with Section 137,167 and 173 of the Elections Act,2017, consequently he ceases to be a member of the National Assembly of Pakistan and his seat has become vacant accordingly," the ECP order stated.
"As the respondent has made false statements and incorrect declarations, therefore he has also committed the offence of corrupt practices defined under Section 167 and 173 of the Elections Act,2017, punishable under Section 174 of the Elections Act, 2017. Office is directed to initiate legal proceedings and to take follow-up action under Section 190(2) of the Elections Act, 2017."
The verdict was announced amid tight security in the Red Zone where at least 1,100 police officials were deployed under the command of a senior superintendent of police to control the law and order situation in the area. The officer was assisted by five superintendents and six deputy superintendents of police.
The ECP had reserved its verdict in the Toshakhana case on September 19 after arguments were completed from both sides. A five-member bench of the ECP, headed by Chief Election Commissioner Sikandar Sultan Raja, heard the case.
Fawad Chaudry said the Election Commission’s attitude had been the worst. “We never pinned any hopes on it.”
“This is a shameful decision. They have disgraced the 220-million-strong-nation.”
Meanwhile, PPP Chairman Bilawal Bhutto said that the Election Commission of Pakistan has found Imran Khan guilty of corrupt practices and now stands disqualified.
“He who would spread lies about the alleged corruption of his political opponents has been caught red-handed," Bilawal said.
Moreover, PML-N Vice President Maryam Nawaz demanded Imran Khan be arrested after he was found guilty of corrupt practices.
“Pakistan's first certified liar and certified thief disqualified with irrefutable evidence of theft,” the PML-N leader said.
She alleged that the husband and wife together looted the national kitty.
In August 2022, National Assembly Speaker Raja Pervaiz Ashraf sent a reference to the ECP under Articles 62A, 63A, and 223, seeking former prime minister Imran Khan’s disqualification in the light of the Toshakhana scam, according to Geo news reports.
The disqualification reference was filed by Ali Gohar Khan, PML-N’s Mohsin Nawaz Ranjha, and five others.
The assessed value of the gifts has been put at Rs 142,042,100. The gifts were received between August 2018 and December 2021.
According to PML-N MNA Ranjha, Khan concealed information about the gift of watches by Saudi Arabia’s Crown Prince Mohammad bin Salman in his statement of assets submitted in 2018-2019.
This withholding of information is tantamount to lying which, according to Ranjha, is a crime under Section 137.
UNI GNK。

B | 科技产业的发展，并非单一的技术更新，而是技术理想与资本现实相辅相成、协同发展的过程。         人工智能从实验室走向市场、赋能千行百业，本质是技术理想与资本现实不断磨合、相互约束、协同发展的过程。技术理想锚定产业长期发展方向，资本力量决定技术落地推广效率，二者形成动态平衡，这也是硬核科技实现产业化发展的底层逻辑。         资本永远在投票，技术路线永远在重构          技术路线的迭代变化，深刻影响资本流向，新能源电池行业的发展历程，是具备参考价值的典型案例。         前几年，依托政策补贴支持，新能源电池行业前期资本供给充足，三元锂电池依靠优异性能，成为当时主流技术路线。

C | 随着行业补贴有序退坡，政策驱动效应逐步减弱，市场化机制开始主导行业发展。         行业技术路线顺势转向性价比更高、适配大众市场的磷酸铁锂，真实的市场需求倒逼上游产业链全面重构。整条产业链的产能、研发资源与产业重心，逐步向高性价比的电池材料与技术路线转变。         这一变化印证了一条适配多数科技行业的规律：政策扶持助力产业起步发展，市场力量决定技术应用与普及范围。         短期资本流向会改变赛道的资源储备与迭代速度，长期来看，能够穿越周期的技术，往往贴合真实市场需求、具备稳定性价比与落地价值。         美国学者尼古拉斯・尼葛洛庞帝曾提出，任何技术与科学成果都存在两面性。         科技发展存在天然矛盾：技术研发着眼长远，而资本运作侧重短期收益。二者目标取向的差异，容易造成行业资源内耗，延缓部分长期前沿技术的研发进度，这一现象也为人工智能产业发展带来借鉴意义。         理想引领方向，资本赋能发展          相较于新能源行业的政策驱动特征，AI产业的发展，同样展现了理想与资本的双螺旋共生逻辑。         一项前沿科技从概念走向实战，离不开四个核心角色：想法是启动器，技术是发动机，舆论是助推器，资本是平衡机。         想法是一切创新的起点，也是资本入局的核心前置条件。没有对通用人工智能的终极想象，没有对大模型能力边界的持续探索，资本便缺乏清晰的布局方向，AI的规模化产业化落地也就无从谈起。         人工智能企业OpenAI创始人萨姆・奥尔特曼在GPT-4发布之际表示，团队正在打造具备长远价值的产品。         这种立足长远的技术追求与价值坚守，是前沿科技不断突破的根基，也是人工智能行业持续迭代发展的精神内核。但仅有创意与构想，无法支撑产业落地发展。正如发明家爱迪生所言：天才是百分之一的灵感，百分之九十九的汗水。         人工智能从初步构想走向商业化应用，历经大量研发测试、技术迭代与工程攻坚，这一过程离不开资本的持续支持，让前沿创新理念转化为可落地、可赋能实体经济的产业成果。

D |          研发创新能力，是人工智能产业持续发展的核心动力。

E |          比尔·盖茨曾提出：“创新是区分领导者与追随者的关键。”对于科技行业而言，研发创新能力，正是AI赛道最核心的创新壁垒与进化底气。         如果说想法是虚无缥缈的创新灵感，那么硬核的技术研发、持续的迭代创新能力，就是将创意落地的唯一关键抓手。         如果说创新构想是发展的灵感来源，那么扎实的技术研发、常态化的迭代升级，就是推动创意落地的核心依托。

F | 只有具备过硬的工程研发与技术攻关能力，才能将抽象的创新构想，打磨为标准化、可落地、可规模化应用的人工智能产品。

G |          依靠不断地技术突破与产品迭代，人工智能产品才能获得市场与用户认可，完成从创意、技术到商业价值的完整闭环。行业舆论能够打破大众认知壁垒，是加速产业普及的重要助力。

H |          凯恩斯曾感慨：“介绍新观念倒不难，难的是摆脱那些旧观念的束缚。”          ChatGPT的现象级全网传播，本质是一场全球性的AI认知革命。

I | 它让大众与资本跳出模糊的未来畅想，直观触摸到人工智能的真实能力与应用边界。

J |          这股舆论浪潮，成功推动资本视角从“AI是什么”的概念空谈，转向“AI能落地什么”的务实探索，催生了大量从0到1的原创产业投资，加速了整个赛道的成熟进程。         资本兼顾短期热度与长期价值          创新理念、核心技术与社会认知，共同构筑起人工智能的发展基础，而资本则贯穿产业发展全过程，起到调节发展节奏的作用。

K |          马克思在《资本论》中精准刻画了资本的特质：“资本害怕没有利润或利润太少，就像自然界害怕真空一样。

L | ”          资本并非单一属性，两类资本的分工与诉求截然不同：政府产业引导侧重产业早期布局与长线赋能，承担行业培育使命；市场商业资本则偏向短期助力与市场化套利，追逐确定性收益，整体资本投入从来不是公益扶持，而是兼顾产业培育与价值增值的博弈过程。         资本天然偏好路线收敛、落地清晰、收益可预期的赛道，始终在行业风险与长期收益之间寻找平衡。这里需要厘清一个关键产业逻辑：技术路线从来不是一成不变的既定答案，而是双向博弈的结果。         一方面，技术路线是科技工作者的主动输出。依靠底层研发迭代、学术突破与工程创新，科研人员自主探索Transformer、Scaling Law、智能Agent等全新技术范式，为行业指明进化方向。

M |          另一方面，技术路线极易受到资本干预，随时发生偏移与改写。

N |          正如前文新能源电池赛道的演变，政策与市场资本的潮汐变化，能够直接淘汰主流技术、重塑全新赛道，让产业资源快速向高性价比、高确定性的方向转变。         这一规律同样适用于AI行业：资本的短期偏好，能够放缓硬核基础研究的进度，加速应用层技术的落地，甚至让部分长期有价值的技术路线暂时边缘化。         从长期发展来看，资本会不断筛选优质发展方向，逐步向算力、算法、核心芯片等具备长期核心竞争力的硬核领域聚集。资本的动态调整，也持续平衡着人工智能产业的创新速度、应用节奏与技术根基。         马克思提出，社会知识与智力正大规模转化为直接生产力，深刻改变生产与生活方式。

o |          人工智能是当下前沿智力成果的集中体现，已成为新时代重要的生产力，与资本形成相互依存、协同发展的格局。技术理想坚守长期发展方向，推动技术不断突破；资本力量筑牢产业发展根基，让创新理念转化为现实生产力。         资本的市场化属性推动人工智能加速商业化普及，行业发展过程中也出现过偏重应用落地、弱化基础研发的现象，这就需要行业坚守长期发展理念，实现均衡发展。

p |          让理想领航，让资本落地          纵观国内众多成熟硬核科技领域，普遍呈现出技术理想与资本力量协同发展的特征，人工智能行业表现得尤为突出。

q |          脱离资本支持，前沿技术难以落地应用；脱离技术基本面，单纯追逐市场热度的行为也难以持续。技术路线指引产业长期趋势，资本市场影响企业阶段性估值，证券市场也是观察这一发展逻辑的重要窗口。         对于二级市场参与者以及产业投资者而言，布局人工智能相关领域，需要紧跟技术迭代趋势，秉持理性判断。         市场价格的起伏变化，本质是市场各方结合技术成熟度、企业成长潜力开展的价值判断与动态修正。

r | 短期资金追逐热点、切换方向，会带来板块轮动与行情波动。放眼长远，能够穿越市场周期、保持稳健发展态势的人工智能企业，必然是紧跟技术主流、掌握核心技术、贴合产业实际需求的市场主体。         第一财经一财号独家首发，本文仅代表作者观点，不构成投资建议。         (本文来自第一财经)。

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