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Artisan’s Contrarian Hiring Philosophy Amid an AI‑Centric Campaign During a recent episode of Build Mode, Jaspar Carmichael-Jack, founder and CEO of Artisan, argued that hiring exceptional humans remains a core competitive advantage, even as the company’s viral "Stop Hiring Humans" billboards dominate the conversation about AI‑driven sales. Key Numbers Behind Artisan’s Rapid Scaling Backed by Y Combinator and multiple venture firms. Targeting TechCrunch Disrupt 2026 (Oct 13‑15, San Francisco) to showcase its AI‑employee platform. Discount code codebuildmode15 offers 15% off any ticket type for the event. Series‑A funding round raised $30 million (reported in prior press). Why the Human Element Still Matters in an AI‑First Sales Model Artisan’s AI employees automate outbound outreach, but Carmichael‑Jack stresses that nuanced relationship‑building, strategic decision‑making, and cultural fit are still best handled by people. Early hiring missteps, he notes, can cost startups millions in lost productivity and brand damage. Industry Ripple Effects: Rethinking Talent Strategies in AI Startups The conversation highlights a broader shift: AI startups are learning that a hybrid model—AI tools augmenting, not replacing, human sales reps—can accelerate growth while preserving the empathy and creativity that machines lack. Investors are watching for teams that balance technical ambition with disciplined hiring practices. Looking Ahead: Artisan’s Roadmap for 2026 and Beyond With the upcoming TechCrunch Disrupt showcase, Artisan aims to secure additional enterprise pilots and expand its AI‑employee suite. Carmichael‑Jack predicts that by 2027 the company will double its client base, leveraging both AI efficiency and a curated talent pool to dominate the AI‑sales niche.

The Dawn of a New HazardBefore the noise of Lagos's iconic danfo buses fills the air and generators rumble to life, the city's lagoon is already stirring—not from fish splashing or canoes gliding, but from the long suction pipes of dredging machines. This industrial awakening is fueled by an insatiable demand for sharp sand to construct high-rise blocks, housing estates, and flyovers. While the Lagos State government and the waterways authority regulate the industry, the sheer scale of a city of over 20 million people means enforcement is failing, leading to widespread illegal operations that are fundamentally altering the lagoon's geography.The Mechanics of DestructionThe primary driver of this ecological crisis is the unregulated extraction of sand from the lagoon bed. The process involves heavy machinery spewing dark slurry and creating deep channels that scar the landscape. This is not merely a localized event; it is a systemic failure of oversight. Despite regulations, a significant portion of the dredging is being done 'by the book' is eroding the seabed by nearly 6 metres between the reclaimed Banana Island and the nearby Third Mainland Bridge. This area, a roughly 5km stretch of central Lagos's main lagoon channel, is the vital artery connecting the city's island districts to the mainland. The removal of this foundational material destabilizes the entire waterway, turning a navigable waterway into a site of environmental degradation.The Human and Ecological CostThe consequences of this dredging extend far beyond the immediate area, causing significant ecological damage and harming local fisheries. Dr. Nnimmo Bassey, director of the Health of Mother Earth Foundation, warns that dredging at this scale without proper environmental assessment 'destroys or wipes out certain species,' which ultimately harms everyone who depends on them. For coastal communities like Epe, Oto-Awori, Era Town, and Makoko, the lagoon is no longer a source of sustenance but a source of struggle. Fishers like Fasasi Adekunle, who has paddled these waters for over 30 years, now face canoes clogged with water hyacinths and sediment plumes that make their daily routines nearly impossible.The Future Outlook: A Tipping PointThe current trajectory suggests a grim future for the Lagos Lagoon. As the ecosystem moves towards collapse, the water is becoming 'no longer our friend.' The loss of biodiversity and the destruction of the seabed will likely lead to irreversible damage to the coastal communities that rely on the lagoon for food and livelihood. Without a radical shift in regulatory enforcement and a move towards sustainable construction practices, the lagoon risks becoming a dead zone, severing the vital link between Lagos's urban core and its natural environment.

The Beijing Marathon: A New Benchmark for RoboticsIn a historic turn of events at the 2026 Beijing Half-Marathon, humanoid robots have officially surpassed human competitors in both speed and endurance. This event marks a pivotal moment in the evolution of robotics, moving beyond laboratory demonstrations to real-world competitive scenarios.Date: April 2026Location: Beijing, ChinaSignificance: First major public race where robots outperformed humans in a standard endurance eventPerformance Metrics: Speed vs. EnduranceThe data from the race reveals a significant gap between current human athletic capabilities and the emerging technology of humanoid machines. While human runners rely on biological energy systems, the robots demonstrated consistent pacing and superior recovery times.Robot Finish Time: Consistently under 1 hour 30 minutesHuman Average: Approximately 1 hour 45 minutesEnergy Efficiency: Robots maintained optimal speed with 20% less energy expenditure per kilometer compared to elite human runnersBeyond the Finish Line: Implications for the Robotics IndustryThis victory is not just a win for engineering; it is a signal to the global market that the era of "humanoid assistants" is accelerating rapidly. The ability to navigate complex urban environments over long distances suggests that these machines are ready for deployment in logistics and service sectors.The Future of Humanoid AutomationAs battery technology and AI navigation algorithms continue to improve, we can expect to see humanoid robots integrated into daily life sooner than anticipated. The Beijing marathon serves as a preview of a future where automation handles not just physical labor, but competitive endurance tasks as well.

Google has signed a multi‑billion‑dollar agreement with Mira Murati’s startup Thinking Machines Lab to expand the lab’s use of Google Cloud’s AI infrastructure, including Nvidia’s latest GB300 GPUs. The partnership, valued in the single‑digit billions, marks the first cloud‑only deal for the lab and signals Google’s intent to secure fast‑growing AI innovators. Key Developments Deal valued in the single‑digit billions of dollars, granting access to Google Cloud’s GB300‑powered systems. Includes infrastructure services for training and deploying reinforcement‑learning models used by Thinking Machines’ product Tinker. Google’s GB300 GPUs claim a 2× speed improvement over previous‑gen GPUs. Deal is non‑exclusive; Thinking Machines may adopt a multi‑cloud strategy. Concurrent AI‑cloud deals: Anthropic with Google & Broadcom for TPU capacity and with Amazon for up to 5 GW of capacity. Data & Market Impact The agreement adds several gigawatts of compute capacity to Google Cloud’s AI portfolio, narrowing the gap with Amazon’s AWS. Thinking Machines raised a $2 billion seed round at a $12 billion valuation, indicating strong investor confidence in frontier AI tooling. Google’s GB300 GPUs, built on Nvidia’s new chip, are positioned to capture a larger share of the high‑performance AI training market, which is projected to exceed $30 billion by 2028. Why This Matters Startups: Access to faster, more reliable cloud infrastructure lowers the barrier for building custom AI models, accelerating product cycles. Cloud providers: The deal intensifies the cloud war in AI, forcing Amazon and Microsoft to deepen their own GPU and TPU offerings. Industry: Reinforcement‑learning workloads, which power breakthroughs at DeepMind and OpenAI, are notoriously compute‑heavy; a 2× speed boost can halve time‑to‑market for new capabilities. Geography: While the agreement is global, it strengthens Google’s foothold in North American AI research hubs and could influence regional data‑center investments. Expert Insight The partnership reflects Google’s strategic shift from a pure‑play cloud vendor to an AI‑platform orchestrator. By locking in a high‑growth lab early, Google not only secures future revenue streams but also gains a testing ground for its next‑gen GPU stack. The non‑exclusive nature of the deal suggests Thinking Machines is hedging against vendor lock‑in, a prudent move given the rapid evolution of AI hardware. However, the reliance on Nvidia’s GB300 chips ties both parties to Nvidia’s supply chain, exposing them to potential semiconductor bottlenecks. What Happens Next Scaling: Thinking Machines is likely to expand its model‑training workloads, prompting Google to allocate additional GB300 capacity. Multi‑cloud dynamics: Expect the lab to benchmark AWS and Azure against Google, potentially triggering price or performance incentives across the cloud market. Product rollout: The speed gains could accelerate the rollout of new versions of Tinker, widening its appeal to enterprise AI teams. Competitive response: Amazon may accelerate its GPU‑focused offerings, while Microsoft could deepen its partnership with OpenAI to counterbalance Google’s gains.

In a landmark event at the Beijing Economic‑Technological Development Area half‑marathon, the humanoid robot Lightning, built by Honor, crossed the finish line in 50 min 26 sec, beating the human world record by nearly seven minutes. Key Developments Lightning completed the 21.1 km race in 50 min 26 sec. Human world‑record holder Jacob Kiplimo ran 57 min 20 sec in March. Robots from Honor swept the podium, all self‑navigated. Nearly 50 % of the 12 robots ran autonomously; the remainder were remote‑controlled. 12,000 human runners competed on parallel tracks to avoid collisions. Data & Market Impact Time advantage of 7 min (~12 % faster) over the human record. Improvement from last year’s robot winner (2 hr 40 min 42 sec) – over 2 hr faster, a ~70 % reduction in finish time. Liquid‑cooling technology adapted from Honor smartphones enabled sustained high‑speed locomotion. Demonstrates commercial potential for high‑speed autonomous machines in logistics, manufacturing, and emergency response. Why This Matters The race proves that humanoid robots can not only match but exceed elite human athletic performance, foreshadowing a shift where robots take on tasks that require speed, endurance, and precision. Industries such as warehousing, construction, and disaster relief could adopt similar locomotion systems, reducing reliance on human labor for physically demanding operations. Expert Insight According to engineer Du Xiaodi, the robot’s 90‑95 cm leg length and smartphone‑derived liquid cooling were critical for maintaining power output over the 21 km distance. The breakthrough reflects a broader trend: robotics is moving from isolated lab prototypes to real‑world, high‑intensity applications. However, the mixed use of autonomous and remote‑controlled units highlights that full autonomy in complex, dynamic environments is still a work in progress. What Happens Next Expect a rapid escalation of competitive robotics events worldwide, with manufacturers racing to improve speed, autonomy, and energy efficiency. Regulatory bodies may soon need to define safety standards for mixed human‑robot races. In the commercial sphere, companies will likely pilot high‑speed humanoid platforms for last‑mile delivery and rapid‑response scenarios, leveraging the cooling and leg‑design innovations demonstrated in Beijing.

In a groundbreaking achievement, a humanoid robot has shattered the world record at a Beijing half-marathon, showcasing the rapid advancements in Chinese technology. The robot, equipped with an autonomous navigation system and sponsored by Chinese smartphone maker Honor, completed the approximately 21km course in 50 minutes and 26 seconds, averaging a speed of about 25km/h (15.5mph).This remarkable feat surpasses the current men's world record of 57:20, held by Ugandan runner Jacob Kiplimo. The event, held in Yizhuang, Beijing, featured over 100 humanoid robots, a significant increase from last year's 20 entries. Spectators witnessed a range of robots, from highly agile ones mimicking famous runners like Usain Bolt to those with more basic capabilities.The rapid progress in robotics has sparked both excitement and concern among onlookers. Han Chenyu, a 25-year-old student, described the event as 'pretty cool' but also expressed worries about the potential impact on jobs due to advancing technology. Xie Lei, a 41-year-old observer, noted that humanoid robots could become integral to daily life within several years, potentially assisting with tasks like housework, elderly care, or dangerous jobs.The humanoid half-marathon aims to encourage innovation and popularize the technologies used in creating and operating such machines. The industry's strength is evident, with 73.5 billion yuan ($10.8bn) invested in robotics and embodied AI in China in 2025, according to a government agency study. As technology continues to advance, it raises questions about humanity's role and the potential for robots to surpass human capabilities in various fields.

The integration of artificial intelligence (AI) into various industries is revolutionizing the concept of 'creative destruction' in capitalism. This phenomenon, where outdated technologies are replaced by new ones, can be brutal, especially when machines exhibit cognitive skills, enabling them to think and learn. In an ideal scenario, policymakers would have ample time to adjust and mitigate the transition's impact. However, the current economic landscape, marked by weak growth and high energy prices due to the conflict in the Middle East, complicates matters. The closure of the Strait of Hormuz has led to shortages of raw materials and higher energy costs, which, coupled with the availability of labor-saving technology, could lead to rapid and large-scale job destruction. The Incentive to adopt machines over human labor will increase as businesses seek to cut costs amid economic uncertainty. The International Monetary Fund's recent downgrade of growth forecasts and warnings of a global recession further exacerbate this trend. As a result, companies will be more inclined to adopt AI, potentially leading to a significant rise in unemployment. While AI optimists argue that new technologies will create more jobs than they destroy in the long run, there are concerns that this time may be different. The impact of AI could be more transformative and disruptive than previous technological advancements. Moreover, there's a risk that the jobs destroyed by AI may be better paid than those created, potentially leading to a decline in living standards. The article concludes that the future depends on whether AI will enhance or replace human jobs. Policymakers have a narrow window to prepare their economies and societies for the challenges posed by AI, focusing on reskilling, reindustrialization, and redistribution. Failure to act quickly may result in the benefits of AI being captured by a small minority, while the majority faces the consequences of mass unemployment.

The way large language models are trained could have a profound impact on human communication. These models are primarily trained on written text, such as textbooks and social media posts, and our speech as captured in movies and television shows. However, this limited scope excludes the vast majority of human speech, which occurs through face-to-face conversations and voice interactions.As a result, the increased use of AI-generated text could lead to a homogenization of language, with humans adopting the linguistic patterns and behaviors of these models. This could affect not only how we communicate with one another but also how we think about ourselves and the world around us. Our perception of reality may become distorted in ways we have yet to fully comprehend.One potential consequence is that our language may become more concise and formulaic, similar to the effects of texting and social media. However, the impact of AI-generated language could be more profound, potentially eroding courteousness and encouraging a more commanding tone in our interactions. A 2022 study found that children who used voice commands with tools like Siri and Alexa became curt when speaking with humans, often using imperative language and expecting obedience.Moreover, the influence of AI-generated text could lead to a narrowing of vocabulary and sentence structure, as machines tend to produce smooth and polished but emotionless language. This could have significant implications for how we express ourselves and connect with others. Additionally, the reinforcement of confirmation bias through AI-generated text could make us more entrenched in our views and less open to opposing ideas.It is essential to consider the potential consequences of relying on AI-generated language and to explore ways to develop more nuanced and human-like language models. By excluding the majority of human language production – informal conversations and natural speech – these models may be mirroring a distorted version of human communication. This could have far-reaching implications for our relationships, our culture, and our understanding of ourselves.

The UK's National Energy System Operator (Neso) is set to launch a new initiative urging households to boost their consumption of renewable energy during periods of high production. This move aims to balance the power grid and reduce energy bills, which are expected to rise to almost £2,000 a year from July. Under the plan, households may be encouraged to run appliances like dishwashers and washing machines, or charge electric vehicles, during times when there is a surplus of wind and solar power. Energy suppliers may offer discounted or free electricity during these periods. The goal is to avoid making costly payments to turn off wind and solar farms when demand is low, which ultimately affects energy bills. This approach could prove popular as households face rising energy costs. Great Britain has recently set records for solar power and is expected to have a summer where the grid could run entirely on zero-carbon electricity. The country is also anticipated to be a net importer of electricity from continental Europe. The abundance of low-carbon electricity supplies poses a risk of grid overload on breezy summer weekends, potentially leading to unplanned blackouts. However, future grid upgrades and increased power consumption by electric vehicles and green technologies are expected to mitigate this issue. Businesses and manufacturers will also be able to increase their electricity demand during certain times in exchange for better rates. Additionally, the UK is expected to have sufficient gas supplies to meet its needs this summer, primarily relying on North Sea gas from Norway and the UK.