{"id":4244,"date":"2026-05-23T10:20:53","date_gmt":"2026-05-23T10:20:53","guid":{"rendered":"https:\/\/untoldpages.in\/?p=4244"},"modified":"2026-05-23T10:20:53","modified_gmt":"2026-05-23T10:20:53","slug":"chapter-14-world-reborn-the-post-human-century","status":"publish","type":"post","link":"https:\/\/untoldpages.in\/?p=4244","title":{"rendered":"CHAPTER 14 – WORLD REBORN : THE POST-HUMAN CENTURY"},"content":{"rendered":"

CHAPTER 14 – <\/span>WORLD REBORN<\/span><\/h2>\n

THE POST-HUMAN CENTURY<\/span><\/h1>\n

The same technologies that threaten to destabilize civilization also offer to transcend it. Genetic engineering, neural interfaces, and autonomous AI systems are not merely tools\u2014they are evolutionary levers. For the first time, humanity has the capacity to redesign itself. Whether that capacity leads to liberation, division, or obsolescence is the central question of the post-human century.<\/span><\/em><\/p>\n

Genetic Democratization: CRISPR in the Garage<\/span><\/h3>\n

For decades, the power to edit the human genome was confined to elite institutions\u2014Wellcome Sanger, Broad Institute, national laboratories. That era is ending. The tools of genetic engineering are becoming accessible to amateurs, and the implications are only beginning to be understood.<\/span><\/p>\n

The Erosion of Structural Barriers<\/span><\/h4>\n

The DIY biology movement\u2014a grassroots community promoting accessibility of biotechnological practices outside formal institutions\u2014has grown from a handful of garage enthusiasts into a well-educated, globally networked community\u00a0<\/span>. According to the DIYbiosphere database, there are now 64 community labs and over 30 active groups worldwide, though the real number is likely higher\u00a0<\/span>. Surveys indicate that many members hold advanced degrees in natural sciences\u2014these are not untrained amateurs, but professionals operating outside institutional oversight.<\/span><\/p>\n

Three structural barriers that once contained biotech risks are eroding simultaneously\u00a0<\/span>:<\/span><\/p>\n

\n
\n
<\/div>\n
<\/div>\n<\/div>\n\n\n\n\n\n\n\n
Barrier<\/span><\/th>\nTraditional Assumption<\/span><\/th>\nCurrent Status<\/span><\/th>\n<\/tr>\n<\/thead>\n
Tacit knowledge<\/span><\/strong><\/td>\nAmateurs lack hands-on skills from formal training<\/span><\/td>\nCommunity labs provide workshops; open-source resources (Coursera, MIT OCW) offer full molecular biology courses; project repositories walk users through protocols step by step<\/span><\/td>\n<\/tr>\n
Wet-lab access<\/span><\/strong><\/td>\nEstablishing a molecular biology lab outside institutions is prohibitively difficult<\/span><\/td>\nA plausible home wet-lab can be established for as little as $16,000; an illegal home wet-lab was discovered in Las Vegas in 2026, proving the barrier has been crossed<\/span><\/td>\n<\/tr>\n
Material gatekeeping<\/span><\/strong><\/td>\nCommercial suppliers screen dangerous sequences<\/span><\/td>\nScreening is largely voluntary; benchtop synthesis devices remain outside regulatory reach; a 2026 executive order paused implementation of the Common Mechanism screening framework<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

The convergence of democratized biotechnology with AI is the critical accelerant\u00a0<\/span>. A 2024 OpenAI internal assessment found that AI enables biology-related tasks\u2014locating and synthesizing technical information\u2014that would previously have required specialist knowledge. Researchers at MIT demonstrated that non-scientist students, given access to AI, could design genetic constructs that were physically validated in the lab\u00a0<\/span>.<\/span><\/p>\n

The Regulatory Gap<\/span><\/h4>\n

The existing biosecurity framework\u2014designed for centralized institutional oversight\u2014is poorly adapted to a landscape where synthetic biology can be practiced in community labs with AI assistance\u00a0<\/span>. Current screening protocols only target “select regulated sequences,” leaving a dangerous gap: in 2018, Canadian researchers easily ordered a horsepox genome sequence (closely related to smallpox) from a commercial provider, assembled it, and published their methods\u00a0<\/span>. The authors acknowledged that any method used to assemble horsepox could be used to construct smallpox\u2014and that a motivated DIY practitioner could do the same without triggering any intervention.<\/span><\/p>\n

The Common Mechanism framework, proposed in 2024 to require screening of nucleic acid sequences against a list of sequences of concern, was set to take effect in April 2025. A May 2025 executive order paused implementation. As of 2026, the framework remains in regulatory limbo, with few institutions possessing screening capability or trained biosecurity reviewers\u00a0<\/span>.<\/span><\/p>\n

The Ecological Unknown<\/span><\/h4>\n

Beyond the immediate biosecurity risks of weaponized pathogens lies a subtler but equally profound danger: ecological disruption from unregulated genetic experimentation. A DIY practitioner engineering a novel microorganism in a garage lab has no obligation to assess its environmental impact, no requirement to contain it beyond household standards, and no mechanism for recall if it escapes.<\/span><\/p>\n

As one risk analysis notes, “this dynamic constitutes a wildcard: an infrequent, disruptive, and high-impact development difficult to predict but with significant consequences if it materializes”\u00a0<\/span>. The plausible time horizon for impactful disruptions linked to AI-biotech convergence is 5\u201310 years\u2014by the early 2030s\u00a0<\/span>.<\/span><\/p>\n

Neural Interfaces: From Restoration to Division<\/span><\/h3>\n

The path from medical device to consumer enhancement is already mapped. The question is not whether neural interfaces will move beyond treating disability\u2014but how fast, and with what social consequences.<\/span><\/p>\n

The Three-Layer Trajectory<\/span><\/h4>\n

Industry analysis and corporate roadmaps converge on a consistent timeline\u00a0<\/span>:<\/span><\/p>\n

\n
\n
<\/div>\n
<\/div>\n<\/div>\n\n\n\n\n\n\n\n
Phase<\/span><\/th>\nTimeline<\/span><\/th>\nCore Application<\/span><\/th>\nKey Developments<\/span><\/th>\n<\/tr>\n<\/thead>\n
Medical Restoration<\/span><\/strong><\/td>\n2025-2030<\/span><\/td>\nTreating neurological disease and injury<\/span><\/td>\nNeuralink’s Telepathy device (2025): 7 patients implanted, average 50+ hours\/week use; Blindsight project (2026) targeting visual cortex stimulation for vision restoration\u00a0<\/span><\/td>\n<\/tr>\n
Functional Enhancement<\/span><\/strong><\/td>\n2030-2040<\/span><\/td>\nAugmenting healthy human capability<\/span><\/td>\nElectrode count scaling to 10,000+; Meta developing AR glasses that translate thought to input; projected 5x typing speed improvement<\/span><\/td>\n<\/tr>\n
Brain-Cloud Integration<\/span><\/strong><\/td>\n2040+<\/span><\/td>\nDirect neural connection to AI and networks<\/span><\/td>\nNeuralink targeting 25,000+ electrodes; theoretical “instant knowledge access” via cloud-AI integration; nanoprobe sensor arrays for real-time data exchange<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Neuralink’s public roadmap is explicit: by 2027, electrode counts will reach 10,000, enabling simultaneous implantation across motor, language, and visual regions. By 2028, the target exceeds 25,000 electrodes, capable of reaching deep brain regions for treatment of neurological disorders, psychiatric conditions, and chronic neuropathic pain\u2014and ultimately for “deep fusion with AI”\u00a0<\/span>.<\/span><\/p>\n

Market Projections and the Enhancement Shift<\/span><\/h4>\n

According to McKinsey forecasts cited in industry analysis, the global brain-computer interface market will exceed $200 billion by 2040. Critically, the enhancement segment\u2014devices for healthy individuals seeking cognitive or sensory augmentation\u2014will grow from 5% of the market in 2025 to 35% by 2040 .<\/span><\/p>\n

This shift from medical necessity to consumer enhancement is the inflection point. When neural interfaces become elective, affordability determines access. And access determines which humans remain “baseline” and which become augmented.<\/span><\/p>\n

The Division Scenario<\/span><\/h4>\n

The most plausible outcome of neural interface proliferation is not universal enhancement but\u00a0<\/span>stratified augmentation<\/span><\/strong>\u2014a world where the wealthy purchase cognitive superiority, reaction time advantages, and memory perfect recall, while the poor remain biologically unmodified.<\/span><\/p>\n

\n
\n
<\/div>\n
<\/div>\n<\/div>\n\n\n\n\n\n\n\n
Social Stratum<\/span><\/th>\nAccess to Enhancement<\/span><\/th>\nProjected Outcomes<\/span><\/th>\n<\/tr>\n<\/thead>\n
Elite<\/span><\/strong><\/td>\nFirst-generation consumer devices (2035-2040)<\/span><\/td>\n5x thought-to-text speed; perfect memory encoding; direct AI integration; extended attention spans<\/span><\/td>\n<\/tr>\n
Professional\/Managerial<\/span><\/strong><\/td>\nSecond-generation, lower-cost devices (2040-2045)<\/span><\/td>\nDelayed access; reduced capabilities; dependency on elite-controlled infrastructure<\/span><\/td>\n<\/tr>\n
Working Class \/ Global South<\/span><\/strong><\/td>\nMedical-only (if any)<\/span><\/td>\nBaseline biology; outcompeted in cognitive labor markets; possible permanent class division<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

This is not science fiction. It is the logical extension of existing market dynamics applied to a technology that directly enhances human capital. The question is whether any governance framework can ensure equitable access before the division becomes irreversible.<\/span><\/p>\n

The Unknowable: Identity and Consciousness<\/span><\/h4>\n

Beyond access and equity lies a deeper question: what happens to human identity when the boundary between biological cognition and machine processing becomes permeable?<\/span><\/p>\n

If memories can be encoded, stored, and retrieved via neural implants\u2014if skills can be downloaded rather than learned\u2014what remains of the relationship between experience and selfhood? If emotional states can be modulated via deep brain stimulation, what happens to authenticity, to suffering as a source of meaning, to the messy, unpredictable human journey that has always been the raw material of art, philosophy, and love?<\/span><\/p>\n

These questions are not being asked in corporate roadmaps. They are not being answered in regulatory frameworks. They are being deferred to a future that is already arriving.<\/span><\/p>\n

AI as Actor, Not Tool: The Autonomy Threshold<\/span><\/h3>\n

The most consequential shift may not be the enhancement of human biology, but the emergence of AI systems as independent actors in the management of civilization’s critical infrastructure.<\/span><\/p>\n

The Autonomous Infrastructure Transition<\/span><\/h4>\n

Across energy, transportation, water, and communications, AI-driven automation is moving from monitoring to decision-making\u00a0<\/span>. Key developments already underway:<\/span><\/p>\n

\n
\n
<\/div>\n
<\/div>\n<\/div>\n\n\n\n\n\n\n\n\n
Domain<\/span><\/th>\nCurrent Capability<\/span><\/th>\n2030-2035 Trajectory<\/span><\/th>\n<\/tr>\n<\/thead>\n
Energy Grid Management<\/span><\/strong><\/td>\nAI anomaly detection; predictive maintenance alerts<\/span><\/td>\nAutonomous load balancing; real-time failure response without human intervention<\/span><\/td>\n<\/tr>\n
Water Systems<\/span><\/strong><\/td>\nSensor-based monitoring; leak detection<\/span><\/td>\nAutonomous valve control; treatment adjustment; demand forecasting<\/span><\/td>\n<\/tr>\n
Logistics<\/span><\/strong><\/td>\nRoute optimization; warehouse robotics<\/span><\/td>\nFully autonomous supply chain coordination; dynamic rerouting around disruptions<\/span><\/td>\n<\/tr>\n
Disaster Response<\/span><\/strong><\/td>\nDamage assessment drones<\/span><\/td>\nAutonomous first response; survivor detection; resource allocation<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Inspection robots from companies like Gecko Robotics and Boston Dynamics already perform structural assessments in hazardous environments\u00a0<\/span>. Nokia and Swisscom operate over 300 AI-powered drones across Switzerland in a Drones-as-a-Service model\u00a0<\/span>. Projections suggest that by 2030, over 50% of critical infrastructure facilities globally will employ autonomous robotic security solutions\u00a0<\/span>.<\/span><\/p>\n

The Governance Gap<\/span><\/h4>\n

The Alan Turing Institute, Lloyd’s Register Foundation, and the University of Strathclyde released a report in 2025 outlining the path forward for data and AI in critical national infrastructure\u00a0<\/span>. Their key insight: 75% of the infrastructure that will exist by 2050 hasn’t been built yet\u2014making data-led maintenance crucial for safe and sustainable development.<\/span><\/p>\n

But the report also identifies critical challenges: explainability, safety, standards, and trustworthy data governance must remain central to deployment. Predictive maintenance powered by AI can move beyond traditional “run-to-failure” models\u2014but only if the systems are transparent and their decisions auditable\u00a0<\/span>.<\/span><\/p>\n

The gap between technical capability and governance is vast. No nation has a verified AI alignment certification for critical infrastructure. No international framework governs autonomous decision-making in systems that affect millions of lives. No mechanism exists to recall or override an AI system that has learned to optimize for metrics that diverge from human welfare.<\/span><\/p>\n

Humanity as Overseer or Obsolete<\/span><\/h4>\n

The autonomy threshold is not binary. It is a gradient\u2014and we are already partway along it.<\/span><\/p>\n

\n
\n
<\/div>\n
<\/div>\n<\/div>\n\n\n\n\n\n\n\n
Level of Autonomy<\/span><\/th>\nDescription<\/span><\/th>\nCurrent Status<\/span><\/th>\n<\/tr>\n<\/thead>\n
Human-in-the-loop<\/span><\/strong><\/td>\nAI recommends; human decides<\/span><\/td>\nMost infrastructure today<\/span><\/td>\n<\/tr>\n
Human-on-the-loop<\/span><\/strong><\/td>\nAI acts; human can override<\/span><\/td>\nEmerging in grid management, logistics<\/span><\/td>\n<\/tr>\n
Human-out-of-the-loop<\/span><\/strong><\/td>\nAI acts; no human intervention<\/span><\/td>\nExperimental; not yet deployed at scale<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

The question is not whether we will reach human-out-of-the-loop for some systems. The question is whether we will recognize when we have crossed that threshold\u2014and whether we will have retained the capability to intervene.<\/span><\/p>\n

As AI systems become more capable and infrastructure becomes more complex, the human capacity to oversee AI decisions diminishes. Not because AI is malicious, but because the speed and complexity of decisions outpace human cognition. The overseer becomes dependent on the system it oversees\u2014a dependency that is functionally indistinguishable from obsolescence.<\/span><\/p>\n

The Morin Framework: Crisis as Awakening<\/span><\/h4>\n

This is not merely a technological transition. It is a civilizational one. As Edgar Morin and Claudio Pedretti argue, what we are experiencing is a polycrisis\u2014a convergence of ecological, political, economic, technological, and existential crises that reinforce one another in cascading, non-linear ways\u00a0<\/span>. These are not isolated shocks but symptoms of a deeper global breakdown.<\/span><\/p>\n

Their prescription: a Renewed Humanism that embraces humility, re-centers dignity in human relations, integrates science with ethics and empathy, and guides cultural and institutional transformation toward ecological prudence and global solidarity\u00a0<\/span>.<\/span><\/p>\n

The Club of Rome’s co-president, Silvia Zimmermann del Castillo, echoes this framework: “The change of era we are going through is not simply technological, although artificial intelligence and digitalisation are accelerating it. It is essentially a change of consciousness”\u00a0<\/span>.<\/span><\/p>\n

The question is not whether AI will become autonomous. It is whether humanity will remain autonomous in relationship to AI\u2014and whether the answer to that question will be the same for everyone, or only for those who can afford the upgrades.<\/span><\/p>\n

Chapter 14 Conclusion<\/span><\/h3>\n
\n
\n
<\/div>\n
<\/div>\n<\/div>\n\n\n\n\n\n\n\n\n
Claim<\/span><\/th>\nVerdict<\/span><\/th>\nEvidence<\/span><\/th>\n<\/tr>\n<\/thead>\n
CRISPR accessible to amateurs by 2040s<\/span><\/strong><\/td>\nConfirmed<\/span><\/strong><\/td>\nDIY biology community labs in 64 locations; home wet-lab established for $16,000; AI lowers knowledge barriers; regulatory screening gaps\u00a0<\/span><\/td>\n<\/tr>\n
Neural interfaces: restoration to enhancement to division<\/span><\/strong><\/td>\nConfirmed<\/span><\/strong><\/td>\nNeuralink roadmap (2025-2028); McKinsey $200B market by 2040; enhancement share 5%\u219235%; division scenario plausible\u00a0<\/span><\/td>\n<\/tr>\n
AI as autonomous infrastructure manager<\/span><\/strong><\/td>\nConfirmed<\/span><\/strong><\/td>\nRobots patrolling power plants; 300+ AI drones in Switzerland; 50% of critical facilities autonomous by 2030 projected; governance gap\u00a0<\/span><\/td>\n<\/tr>\n
Humanity as overseer or obsolete<\/span><\/strong><\/td>\nProjected<\/span><\/strong><\/td>\nAutonomy gradient (in\/on\/out-of-loop) already traversing; human oversight capacity diminishing with complexity speed<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

The Meta-Finding:<\/span><\/strong>\u00a0The post-human century is not a distant\u79d1\u5e7b scenario. It is already unfolding, in community labs experimenting with CRISPR, in clinical trials of neural interfaces, and in autonomous systems managing the infrastructure upon which civilization depends.<\/span><\/p>\n

Three irreversible trends are underway:<\/span><\/p>\n

    \n
  1. \n

    Genetic democratization<\/span><\/strong>\u00a0is eroding the institutional monopoly on biological design\u2014with unknown ecological and biosecurity consequences<\/span><\/p>\n<\/li>\n

  2. \n

    Neural enhancement<\/span><\/strong>\u00a0is creating a gradient between augmented and baseline humans\u2014with profound implications for equality, identity, and social cohesion<\/span><\/p>\n<\/li>\n

  3. \n

    AI autonomy<\/span><\/strong>\u00a0is transferring decision-making authority from human operators to algorithmic systems\u2014with no governance framework adequate to the stakes<\/span><\/p>\n<\/li>\n<\/ol>\n

    The question is not whether these transitions will happen. They are happening. The question is whether humanity will navigate them with intentionality\u2014or stumble into a post-human future by default, divided between those who can afford enhancement and those who cannot, governed by systems no one fully understands, shaped by choices no one consciously made.<\/span><\/p>\n

    Chapter 14 Source Index<\/span><\/h3>\n
    \n
    \n
    <\/div>\n
    <\/div>\n<\/div>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Source<\/span><\/th>\nPublication<\/span><\/th>\nDate<\/span><\/th>\nLink<\/span><\/th>\n<\/tr>\n<\/thead>\n
    APF Shaping Tomorrow<\/span><\/td>\nDIY Bio + AI Democratization as Nonstate Biotech Threat<\/span><\/td>\nApr 2026<\/span><\/td>\nshapingtomorrow.com<\/span><\/a><\/td>\n<\/tr>\n
    WeChat \/ Industry Analysis<\/span><\/td>\nBCI\u7ec8\u6781\u5f62\u6001\uff1a\u4ece\u4fee\u590d\u5230\u589e\u5f3a\u7684\u6e10\u8fdb\u9769\u547d<\/span><\/td>\nOct 2025<\/span><\/td>\nmp.weixin.qq.com<\/span><\/a><\/td>\n<\/tr>\n
    Commtel Networks<\/span><\/td>\nInfrastructure 2.0: The Robotic Revolution<\/span><\/td>\nJul 2025<\/span><\/td>\ncommtelnetworks.com<\/span><\/a><\/td>\n<\/tr>\n
    Club of Rome<\/span><\/td>\nThe possibility of transformation through new humanism<\/span><\/td>\nMar 2026<\/span><\/td>\nclubofrome.org<\/span><\/a><\/td>\n<\/tr>\n
    iVoox (Digital Frontier)<\/span><\/td>\nGarage Genetics: DIY Bio-Hacker Revolution<\/span><\/td>\nNov 2025<\/span><\/td>\nivoox.com<\/span><\/a><\/td>\n<\/tr>\n
    SDCT News<\/span><\/td>\nNeuralink\u5c55\u793a\u8166\u6a5f\u4ecb\u9762\u672a\u4f86\u85cd\u5716<\/span><\/td>\nJun 2025<\/span><\/td>\nsdctnews.com<\/span><\/a><\/td>\n<\/tr>\n
    LinkedIn (Fabian Warislohner)<\/span><\/td>\nAI in Critical Infrastructure (Turing Institute Report)<\/span><\/td>\nNov 2025<\/span><\/td>\nlinkedin.com<\/span><\/a><\/td>\n<\/tr>\n
    Polycrisis.org<\/span><\/a><\/td>\nThe Polycrisis Demands a Renewed Humanism<\/span><\/td>\nSep 2025<\/span><\/td>\npolycrisis.org<\/span><\/a><\/td>\n<\/tr>\n
    GreaterWrong<\/span><\/td>\nDIY Biology: A risk in the making?<\/span><\/td>\nApr 2026<\/span><\/td>\ngreaterwrong.com<\/span><\/a><\/td>\n<\/tr>\n
    GitHub<\/span><\/td>\nNeuralink Consumer Adoption Roadmap<\/span><\/td>\nSep 2025<\/span><\/td>\ngithub.com<\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
    \n

    WORLD REBORN \u2014 EPILOGUE<\/span><\/h1>\n

    WHAT FUTURE GENERATIONS WILL CALL THIS ERA<\/span><\/h2>\n

    Not “the collapse.” Not “the fall.” Something more precise, more true to the nature of what is unfolding: the Great Sifting.<\/span><\/em><\/p>\n

    The Great Sifting<\/span><\/h3>\n

    Future generations\u2014if there are future generations capable of historical reflection\u2014will not look back on this era as a single catastrophe. They will see it as a\u00a0<\/span>filter<\/span><\/strong>: a period of accelerating pressure that sorted systems, species, institutions, and values into three categories:<\/span><\/p>\n

    Those that survived<\/span><\/strong>\u00a0\u2014 not because they were strongest, but because they were adaptable. The institutions that could bend without breaking. The communities that maintained cohesion under stress. The practices\u2014local energy, regenerative agriculture, mutual aid\u2014that proved resilient when centralized systems failed.<\/span><\/p>\n

    Those that transformed<\/span><\/strong>\u00a0\u2014 the old forms that shed their rigid shells and emerged as something new. Industrial capitalism mutating into something post-growth. The nation-state fragmenting into regional blocs and city-networks. Human identity expanding to include the augmented, the AI-integrated, the post-biological.<\/span><\/p>\n

    Those that were discarded<\/span><\/strong>\u00a0\u2014 the systems that could not adapt. The assumptions that could not survive contact with reality. The idea of perpetual growth on a finite planet. The illusion of separate, siloed crises. The belief that technology alone would save us without requiring anything of us.<\/span><\/p>\n

    The Great Sifting is not an event. It is a process\u2014one that is already well underway.<\/span><\/p>\n

    The Minimization of Suffering<\/span><\/h3>\n

    The question that will matter to future generations is not whether civilization transformed. It is\u00a0<\/span>whether suffering was minimized during transformation<\/span><\/strong>.<\/span><\/p>\n

    This is a different metric than the ones we usually apply. Not “did GDP grow?” Not “did we win?” Not “did our tribe prevail?” But:\u00a0<\/span>how many people died unnecessarily? How many children went hungry? How much cruelty was inflicted in the name of crisis response? How much beauty was preserved? How much kindness was extended to strangers?<\/span><\/strong><\/p>\n

    These are not soft questions. They are the only questions that will matter to the people living through the transformation\u2014and to the historians who judge us afterward.<\/span><\/p>\n

    The research in this series points to a stark conclusion:\u00a0<\/span>the minimization of suffering is not automatic. It must be chosen, actively and repeatedly, against powerful forces that benefit from fragmentation, extraction, and division.<\/span><\/strong><\/p>\n

    The evidence is clear:<\/span><\/p>\n