Podcasts about Taipei

Episode Summary: In this special episode, Solar Maverick Podcast co-host Li Wang turns the microphone on Benoy Thanjan, who shares his experience as a 9/11 survivor and how that day changed the course of his life. Benoy recounts being inside the World Trade Center when the first plane hit, the chaos of escaping, and the lasting impact of witnessing tragedy up close. He opens up about gratitude, resilience, and how the experience pushed him to pursue work that makes a difference. Key Takeaways Living with Gratitude: Surviving 9/11 instilled a daily appreciation for life and the present moment. Purpose Beyond Profit: The experience inspired Benoy to leave a purely financial career path and dedicate himself to renewable energy and making an impact. Legacy of 9/11: The tragedy continues to affect survivors' physical and mental health, but it also fuels determination to live with purpose.   Biographies Benoy Thanjan Benoy Thanjan is the Founder and CEO of Reneu Energy, solar developer and consulting firm, and a strategic advisor to multiple cleantech startups. Over his career, Benoy has developed over 100 MWs of solar projects across the U.S., helped launch the first residential solar tax equity funds at Tesla, and brokered $45 million in Renewable Energy Credits (“REC”) transactions. Prior to founding Reneu Energy, Benoy was the Environmental Commodities Trader in Tesla's Project Finance Group, where he managed one of the largest environmental commodities portfolios. He originated REC trades and co-developed a monetization and hedging strategy with senior leadership to enter the East Coast market. As Vice President at Vanguard Energy Partners, Benoy crafted project finance solutions for commercial-scale solar portfolios. His role at Ridgewood Renewable Power, a private equity fund with 125 MWs of U.S. renewable assets, involved evaluating investment opportunities and maximizing returns. He also played a key role in the sale of the firm's renewable portfolio. Earlier in his career, Benoy worked in Energy Structured Finance at Deloitte & Touche and Financial Advisory Services at Ernst & Young, following an internship on the trading floor at D.E. Shaw & Co., a multi billion dollar hedge fund. Benoy holds an MBA in Finance from Rutgers University and a BS in Finance and Economics from NYU Stern, where he was an Alumni Scholar. Li Wang Better every day. That's the way I aspire to live. I was born in 1973 in Philadelphia. My parents immigrated from Taipei and my dad's first job out of graduate school was in Philadelphia. I'm a die-hard Eagles fan and being raised in that city has shaped my identity. Hip-hop culture served as my first artistic influence. Run-DMC, Public Enemy and the Beastie Boys shaped how I created my own environment. During the summer of O.J. trial I interned at the Philadelphia Daily News. I became hooked on journalism. I went on to another internship at the Des Moines Register and started my career as a business reporter for the Times of Trenton. I was the arts editor for the Honolulu Weekly and then the film critic for the Harrisburg Patriot-News. Website design I could see the end of the print industry so I decided to get a professional certificate in digital marketing from New York University. I started an agency with a partner doing SEO, PPC , content creation and website design. My partner decided to focus on software development and I turned my attention to website design. Today I help small business owners shine online with compelling websites to resonate with their target audiences. Personal interests I'm a fitness enthusiast (CrossFit), watch collector (14060M, PAM112, SBGA085), and father (Matthew and Noemi).   Stay Connected: Benoy Thanjan Email: info@reneuenergy.com  LinkedIn: Benoy Thanjan Website: https://www.reneuenergy.com   Li Wang Linkedin:  https://www.linkedin.com/in/liwang22/ Website:  https://www.littleoxworkshop.com/

Brazil's former president, Jair Bolsonaro, has been sentenced to more than twenty-seven years in prison after the Supreme Court found him guilty of attempting a coup when he lost the 2022 election. More than 300 South Koreans who were arrested in the raid in the Hyundai plant in Georgia have now been released from detention and flown to their country. And how can this affect the economic relations between both countries? London's underground rail system – the Tube – has been closed for five days by a strike over pay and conditions for train drivers, and this has been very stressful for commuters, but more than that, it has been very damaging for businesses. And Roger Hearing hears about the use of artificial intelligence to write speeches for politics and business and how you can detect if it's written by AI or a human. Throughout the program, Roger will be joined by two guests on opposite sides of the world – Nga Pham, a journalist and filmmaker based in Taipei, although she will be joining us today from Hanoi in Vietnam - and Stephanie Hare, a researcher on technology and ethics in London.

Last time we spoke about the surrender of Japan. Emperor Hirohito announced the surrender on August 15, prompting mixed public reactions: grief, shock, and sympathy for the Emperor, tempered by fear of hardship and occupation. The government's response included resignations and suicide as new leadership was brought in under Prime Minister Higashikuni, with Mamoru Shigemitsu as Foreign Minister and Kawabe Torashiro heading a delegation to Manila. General MacArthur directed the occupation plan, “Blacklist,” prioritizing rapid, phased entry into key Japanese areas and Korea, while demobilizing enemy forces. The surrender ceremony occurred aboard the Missouri in Tokyo Bay on September 2, with Wainwright, Percival, Nimitz, and UN representatives in attendance. Civilians and soldiers across Asia began surrendering, and postwar rehabilitation, Indochina and Vietnam's independence movements, and Southeast Asian transitions rapidly unfolded as Allied forces established control. This episode is the Aftermath of the Pacific War Welcome to the Pacific War Podcast Week by Week, I am your dutiful host Craig Watson. But, before we start I want to also remind you this podcast is only made possible through the efforts of Kings and Generals over at Youtube. Perhaps you want to learn more about world war two? Kings and Generals have an assortment of episodes on world war two and much more  so go give them a look over on Youtube. So please subscribe to Kings and Generals over at Youtube and to continue helping us produce this content please check out www.patreon.com/kingsandgenerals. If you are still hungry for some more history related content, over on my channel, the Pacific War Channel you can find a few videos all the way from the Opium Wars of the 1800's until the end of the Pacific War in 1945.  The Pacific War has ended. Peace has been restored by the Allies and most of the places conquered by the Japanese Empire have been liberated. In this post-war period, new challenges would be faced for those who won the war; and from the ashes of an empire, a defeated nation was also seeking to rebuild. As the Japanese demobilized their armed forces, many young boys were set to return to their homeland, even if they had previously thought that they wouldn't survive the ordeal. And yet, there were some cases of isolated men that would continue to fight for decades even, unaware that the war had already ended.  As we last saw, after the Japanese surrender, General MacArthur's forces began the occupation of the Japanese home islands, while their overseas empire was being dismantled by the Allies. To handle civil administration, MacArthur established the Military Government Section, commanded by Brigadier-General William Crist, staffed by hundreds of US experts trained in civil governance who were reassigned from Okinawa and the Philippines. As the occupation began, Americans dispatched tactical units and Military Government Teams to each prefecture to ensure that policies were faithfully carried out. By mid-September, General Eichelberger's 8th Army had taken over the Tokyo Bay region and began deploying to occupy Hokkaido and the northern half of Honshu. Then General Krueger's 6th Army arrived in late September, taking southern Honshu and Shikoku, with its base in Kyoto. In December, 6th Army was relieved of its occupation duties; in January 1946, it was deactivated, leaving the 8th Army as the main garrison force. By late 1945, about 430,000 American soldiers were garrisoned across Japan. President Truman approved inviting Allied involvement on American terms, with occupation armies integrated into a US command structure. Yet with the Chinese civil war and Russia's reluctance to place its forces under MacArthur's control, only Australia, Britain, India, and New Zealand sent brigades, more than 40,000 troops in southwestern Japan. Japanese troops were gradually disarmed by order of their own commanders, so the stigma of surrender would be less keenly felt by the individual soldier. In the homeland, about 1.5 million men were discharged and returned home by the end of August. Demobilization overseas, however, proceeded, not quickly, but as a long, difficult process of repatriation. In compliance with General Order No. 1, the Japanese Imperial General Headquarters disbanded on September 13 and was superseded by the Japanese War Department to manage demobilization. By November 1, the homeland had demobilized 2,228,761 personnel, roughly 97% of the Homeland Army. Yet some 6,413,215 men remained to be repatriated from overseas. On December 1, the Japanese War Ministry dissolved, and the First Demobilization Ministry took its place. The Second Demobilization Ministry was established to handle IJN demobilization, with 1,299,868 sailors, 81% of the Navy, demobilized by December 17. Japanese warships and merchant ships had their weapons rendered inoperative, and suicide craft were destroyed. Forty percent of naval vessels were allocated to evacuations in the Philippines, and 60% to evacuations of other Pacific islands. This effort eventually repatriated about 823,984 men to Japan by February 15, 1946. As repatriation accelerated, by October 15 only 1,909,401 men remained to be repatriated, most of them in the Soviet Union. Meanwhile, the Higashikuni Cabinet and Foreign Minister Shigemitsu Mamoru managed to persuade MacArthur not to impose direct military rule or martial law over all of Japan. Instead, the occupation would be indirect, guided by the Japanese government under the Emperor's direction. An early decision to feed occupation forces from American supplies, and to allow the Japanese to use their own limited food stores, helped ease a core fear: that Imperial forces would impose forced deliveries on the people they conquered. On September 17, MacArthur transferred his headquarters from Yokohama to Tokyo, setting up primary offices on the sixth floor of the Dai-Ichi Mutual Life Insurance Building, an imposing edifice overlooking the moat and the Imperial palace grounds in Hibiya, a symbolic heart of the nation.  While the average soldier did not fit the rapacious image of wartime Japanese propagandists, occupation personnel often behaved like neo-colonial overlords. The conquerors claimed privileges unimaginable to most Japanese. Entire trains and train compartments, fitted with dining cars, were set aside for the exclusive use of occupation forces. These silenced, half-empty trains sped past crowded platforms, provoking ire as Japanese passengers were forced to enter and exit packed cars through punched-out windows, or perch on carriage roofs, couplings, and running boards, often with tragic consequences. The luxury express coaches became irresistible targets for anonymous stone-throwers. During the war, retrenchment measures had closed restaurants, cabarets, beer halls, geisha houses, and theatres in Tokyo and other large cities. Now, a vast leisure industry sprang up to cater to the needs of the foreign occupants. Reopened restaurants and theatres, along with train stations, buses, and streetcars, were sometimes kept off limits to Allied personnel, partly for security, partly to avoid burdening Japanese resources, but a costly service infrastructure was built to the occupiers' specifications. Facilities reserved for occupation troops bore large signs reading “Japanese Keep Out” or “For Allied Personnel Only.” In downtown Tokyo, important public buildings requisitioned for occupation use had separate entrances for Americans and Japanese. The effect? A subtle but clear colour bar between the predominantly white conquerors and the conquered “Asiatic” Japanese. Although MacArthur was ready to work through the Japanese government, he lacked the organizational infrastructure to administer a nation of 74 million. Consequently, on October 2, MacArthur dissolved the Military Government Section and inaugurated General Headquarters, Supreme Commander for the Allied Powers, a separate headquarters focused on civil affairs and operating in tandem with the Army high command. SCAP immediately assumed responsibility for administering the Japanese home islands. It commandeered every large building not burned down to house thousands of civilians and requisitioned vast tracts of prime real estate to quarter several hundred thousand troops in the Tokyo–Yokohama area alone. Amidst the rise of American privilege, entire buildings were refurbished as officers' clubs, replete with slot machines and gambling parlours installed at occupation expense. The Stars and Stripes were hoisted over Tokyo, while the display of the Rising Sun was banned; and the downtown area, known as “Little America,” was transformed into a US enclave. The enclave mentality of this cocooned existence was reinforced by the arrival within the first six months of roughly 700 American families. At the peak of the occupation, about 14,800 families employed some 25,000 Japanese servants to ease the “rigours” of overseas duty. Even enlisted men in the sparse quonset-hut towns around the city lived like kings compared with ordinary Japanese. Japanese workers cleaned barracks, did kitchen chores, and handled other base duties. The lowest private earned a 25% hardship bonus until these special allotments were discontinued in 1949. Most military families quickly adjusted to a pampered lifestyle that went beyond maids and “boys,” including cooks, laundresses, babysitters, gardeners, and masseuses. Perks included spacious quarters with swimming pools, central heating, hot running water, and modern plumbing. Two observers compared GHQ to the British Raj at its height. George F. Kennan, head of the State Department's Policy Planning Staff, warned during his 1948 mission to Japan that Americans had monopolized “everything that smacks of comfort or elegance or luxury,” criticizing what he called the “American brand of philistinism” and the “monumental imperviousness” of MacArthur's staff to the Japanese suffering. This conqueror's mentality also showed in the bullying attitudes many top occupation officials displayed toward the Japanese with whom they dealt. Major Faubion Bowers, MacArthur's military secretary, later said, “I and nearly all the occupation people I knew were extremely conceited and extremely arrogant and used our power every inch of the way.” Initially, there were spasms of defiance against the occupation forces, such as anonymous stone-throwing, while armed robbery and minor assaults against occupation personnel were rife in the weeks and months after capitulation. Yet active resistance was neither widespread nor organized. The Americans successfully completed their initial deployment without violence, an astonishing feat given a heavily armed and vastly superior enemy operating on home terrain. The average citizen regarded the occupation as akin to force majeure, the unfortunate but inevitable aftermath of a natural calamity. Japan lay prostrate. Industrial output had fallen to about 10% of pre-war levels, and as late as 1946, more than 13 million remained unemployed. Nearly 40% of Japan's urban areas had been turned to rubble, and some 9 million people were homeless. The war-displaced, many of them orphans, slept in doorways and hallways, in bombed-out ruins, dugouts and packing crates, under bridges or on pavements, and crowded the hallways of train and subway stations. As winter 1945 descended, with food, fuel, and clothing scarce, people froze to death. Bonfires lit the streets to ward off the chill. "The only warm hands I have shaken thus far in Japan belonged to Americans," Mark Gayn noted in December 1945. "The Japanese do not have much of a chance to thaw out, and their hands are cold and red." Unable to afford shoes, many wore straw sandals; those with geta felt themselves privileged. The sight of a man wearing a woman's high-buttoned shoes in winter epitomized the daily struggle to stay dry and warm. Shantytowns built of scrap wood, rusted metal, and scavenged odds and ends sprang up everywhere, resembling vast junk yards. The poorest searched smouldering refuse heaps for castoffs that might be bartered for a scrap to eat or wear. Black markets (yami'ichi) run by Japanese, Koreans, and For-mosans mushroomed to replace collapsed distribution channels and cash in on inflated prices. Tokyo became "a world of scarcity in which every nail, every rag, and even a tangerine peel [had a] market value." Psychologically numbed, disoriented, and disillusioned with their leaders, demobilized veterans and civilians alike struggled to get their bearings, shed militaristic ideologies, and begin to embrace new values. In the vacuum of defeat, the Japanese people appeared ready to reject the past and grasp at the straw held out by the former enemy. Relations between occupier and occupied were not smooth, however. American troops comported themselves like conquerors, especially in the early weeks and months of occupation. Much of the violence was directed against women, with the first attacks beginning within hours after the landing of advance units. When US paratroopers landed in Sapporo, an orgy of looting, sexual violence, and drunken brawling ensued. Newspaper accounts reported 931 serious offences by GIs in the Yokohama area during the first week of occupation, including 487 armed robberies, 411 thefts of currency or goods, 9 rapes, 5 break-ins, 3 cases of assault and battery, and 16 other acts of lawlessness. In the first 10 days of occupation, there were 1,336 reported rapes by US soldiers in Kanagawa Prefecture alone. Americans were not the only perpetrators. A former prostitute recalled that when Australian troops arrived in Kure in early 1946, they “dragged young women into their jeeps, took them to the mountain, and then raped them. I heard them screaming for help nearly every night.” Such behaviour was commonplace, but news of criminal activity by occupation forces was quickly suppressed. On September 10, 1945, SCAP issued press and pre-censorship codes outlawing the publication of reports and statistics "inimical to the objectives of the occupation." In the sole instance of self-help General Eichelberger records in his memoirs, when locals formed a vigilante group and retaliated against off-duty GIs, 8th Army ordered armored vehicles into the streets and arrested the ringleaders, who received lengthy prison terms. Misbehavior ranged from black-market activity, petty theft, reckless driving, and disorderly conduct to vandalism, arson, murder, and rape. Soldiers and sailors often broke the law with impunity, and incidents of robbery, rape, and even murder were widely reported. Gang rapes and other sex atrocities were not infrequent; victims, shunned as outcasts, sometimes turned to prostitution in desperation, while others took their own lives to avoid bringing shame to their families. Military courts arrested relatively few soldiers for these offenses and convicted even fewer; Japanese attempts at self-defense were punished severely, and restitution for victims was rare. Fearing the worst, Japanese authorities had already prepared countermeasures against the supposed rapacity of foreign soldiers. Imperial troops in East Asia and the Pacific had behaved brutally toward women, so the government established “sexual comfort-stations” manned by geisha, bar hostesses, and prostitutes to “satisfy the lust of the Occupation forces,” as the Higashikuni Cabinet put it. A budget of 100 million yen was set aside for these Recreation and Amusement Associations, financed initially with public funds but run as private enterprises under police supervision. Through these, the government hoped to protect the daughters of the well-born and middle class by turning to lower-class women to satisfy the soldiers' sexual appetites. By the end of 1945, brothel operators had rounded up an estimated 20,000 young women and herded them into RAA establishments nationwide. Eventually, as many as 70,000 are said to have ended up in the state-run sex industry. Thankfully, as military discipline took hold and fresh troops replaced the Allied veterans responsible for the early crime wave, violence subsided and the occupier's patronising behavior and the ugly misdeeds of a lawless few were gradually overlooked. However, fraternisation was frowned upon by both sides, and segregation was practiced in principle, with the Japanese excluded from areas reserved for Allied personnel until September 1949, when MacArthur lifted virtually all restrictions on friendly association, stating that he was “establishing the same relations between occupation personnel and the Japanese population as exists between troops stationed in the United States and the American people.” In principle, the Occupation's administrative structure was highly complex. The Far Eastern Commission, based in Washington, included representatives from all 13 countries that had fought against Japan and was established in 1946 to formulate basic principles. The Allied Council for Japan was created in the same year to assist in developing and implementing surrender terms and in administering the country. It consisted of representatives from the USA, the USSR, Nationalist China, and the British Commonwealth. Although both bodies were active at first, they were largely ineffectual due to unwieldy decision-making, disagreements between the national delegations (especially the USA and USSR), and the obstructionism of General Douglas MacArthur. In practice, SCAP, the executive authority of the occupation, effectively ruled Japan from 1945 to 1952. And since it took orders only from the US government, the Occupation became primarily an American affair. The US occupation program, effectively carried out by SCAP, was revolutionary and rested on a two-pronged approach. To ensure Japan would never again become a menace to the United States or to world peace, SCAP pursued disarmament and demilitarization, with continuing control over Japan's capacity to make war. This involved destroying military supplies and installations, demobilizing more than five million Japanese soldiers, and thoroughly discrediting the military establishment. Accordingly, SCAP ordered the purge of tens of thousands of designated persons from public service positions, including accused war criminals, military officers, leaders of ultranationalist societies, leaders in the Imperial Rule Assistance Association, business leaders tied to overseas expansion, governors of former Japanese colonies, and national leaders who had steered Japan into war. In addition, MacArthur's International Military Tribunal for the Far East established a military court in Tokyo. It had jurisdiction over those charged with Class A crimes, top leaders who had planned and directed the war. Also considered were Class B charges, covering conventional war crimes, and Class C charges, covering crimes against humanity. Yet the military court in Tokyo wouldn't be the only one. More than 5,700 lower-ranking personnel were charged with conventional war crimes in separate trials convened by Australia, China, France, the Dutch East Indies, the Philippines, the United Kingdom, and the United States. Of the 5,700 Japanese individuals indicted for Class B war crimes, 984 were sentenced to death; 475 received life sentences; 2,944 were given more limited prison terms; 1,018 were acquitted; and 279 were never brought to trial or not sentenced. Among these, many, like General Ando Rikichi and Lieutenant-General Nomi Toshio, chose to commit suicide before facing prosecution. Notable cases include Lieutenant-General Tani Hisao, who was sentenced to death by the Nanjing War Crimes Tribunal for his role in the Nanjing Massacre; Lieutenant-General Sakai Takashi, who was executed in Nanjing for the murder of British and Chinese civilians during the occupation of Hong Kong. General Okamura Yasuji was convicted of war crimes by the Tribunal, yet he was immediately protected by the personal order of Nationalist leader Chiang Kai-Shek, who kept him as a military adviser for the Kuomintang. In the Manila trials, General Yamashita Tomoyuki was sentenced to death as he was in overall command during the Sook Ching massacre, the Rape of Manila, and other atrocities. Lieutenant-General Homma Masaharu was likewise executed in Manila for atrocities committed by troops under his command during the Bataan Death March. General Imamura Hitoshi was sentenced to ten years in prison, but he considered the punishment too light and even had a replica of the prison built in his garden, remaining there until his death in 1968. Lieutenant-General Kanda Masatane received a 14-year sentence for war crimes on Bougainville, though he served only four years. Lieutenant-General Adachi Hatazo was sentenced to life imprisonment for war crimes in New Guinea and subsequently committed suicide on September 10, 1947. Lieutenant-General Teshima Fusataro received three years of forced labour for using a hospital ship to transport troops. Lieutenant-General Baba Masao was sentenced to death for ordering the Sandakan Death Marches, during which over 2,200 Australian and British prisoners of war perished. Lieutenant-General Tanabe Moritake was sentenced to death by a Dutch military tribunal for unspecified war crimes. Rear-Admiral Sakaibara Shigematsu was executed in Guam for ordering the Wake Island massacre, in which 98 American civilians were murdered. Lieutenant-General Inoue Sadae was condemned to death in Guam for permitting subordinates to execute three downed American airmen captured in Palau, though his sentence was commuted to life imprisonment in 1951 and he was released in 1953. Lieutenant-General Tachibana Yoshio was sentenced to death in Guam for his role in the Chichijima Incident, in which eight American airmen were cannibalized. By mid-1945, due to the Allied naval blockade, the 25,000 Japanese troops on Chichijima had run low on supplies. However, although the daily rice ration had been reduced from 400 grams per person per day to 240 grams, the troops were not at risk of starvation. In February and March 1945, in what would later be called the Chichijima incident, Tachibana Yoshio's senior staff turned to cannibalism. Nine American airmen had escaped from their planes after being shot down during bombing raids on Chichijima, eight of whom were captured. The ninth, the only one to evade capture, was future US President George H. W. Bush, then a 20-year-old pilot. Over several months, the prisoners were executed, and reportedly by the order of Major Matoba Sueyo, their bodies were butchered by the division's medical orderlies, with the livers and other organs consumed by the senior staff, including Matoba's superior Tachibana. In the Yokohama War Crimes Trials, Lieutenant-Generals Inada Masazumi and Yokoyama Isamu were convicted for their complicity in vivisection and other human medical experiments performed at Kyushu Imperial University on downed Allied airmen. The Tokyo War Crimes Trial, which began in May 1946 and lasted two and a half years, resulted in the execution by hanging of Generals Doihara Kenji and Itagaki Seishiro, and former Prime Ministers Hirota Koki and Tojo Hideki, for war crimes, crimes against humanity, and crimes against peace, specifically for the escalation of the Pacific War and for permitting the inhumane treatment of prisoners of war. Also sentenced to death were Lieutenant-General Muto Akira for his role in the Nanjing and Manila massacres; General Kimura Heitaro for planning the war strategy in China and Southeast Asia and for laxity in preventing atrocities against prisoners of war in Burma; and General Matsui Iwane for his involvement in the Rape of Nanjing. The seven defendants who were sentenced to death were executed at Sugamo Prison in Ikebukuro on December 23, 1948. Sixteen others were sentenced to life imprisonment, including the last Field Marshal Hata Shunroku, Generals Araki Sadao, Minami Hiro, and Umezu Shojiro, Admiral Shimada Shigetaro, former Prime Ministers Hiranuma Kiichiro and Koiso Kuniaki, Marquis Kido Koichi, and Colonel Hashimoto Kingoro, a major instigator of the second Sino-Japanese War. Additionally, former Foreign Ministers Togo Shigenori and Shigemitsu Mamoru received seven- and twenty-year sentences, respectively. The Soviet Union and Chinese Communist forces also held trials of Japanese war criminals, including the Khabarovsk War Crime Trials, which tried and found guilty some members of Japan's bacteriological and chemical warfare unit known as Unit 731. However, those who surrendered to the Americans were never brought to trial, as MacArthur granted immunity to Lieutenant-General Ishii Shiro and all members of the bacteriological research units in exchange for germ-w warfare data derived from human experimentation. If you would like to learn more about what I like to call Japan's Operation Paper clip, whereupon the US grabbed many scientists from Unit 731, check out my exclusive podcast. The SCAP-turn to democratization began with the drafting of a new constitution in 1947, addressing Japan's enduring feudal social structure. In the charter, sovereignty was vested in the people, and the emperor was designated a “symbol of the state and the unity of the people, deriving his position from the will of the people in whom resides sovereign power.” Because the emperor now possessed fewer powers than European constitutional monarchs, some have gone so far as to say that Japan became “a republic in fact if not in name.” Yet the retention of the emperor was, in fact, a compromise that suited both those who wanted to preserve the essence of the nation for stability and those who demanded that the emperor system, though not necessarily the emperor, should be expunged. In line with the democratic spirit of the new constitution, the peerage was abolished and the two-chamber Diet, to which the cabinet was now responsible, became the highest organ of state. The judiciary was made independent and local autonomy was granted in vital areas of jurisdiction such as education and the police. Moreover, the constitution stipulated that “the people shall not be prevented from enjoying any of the fundamental human rights,” that they “shall be respected as individuals,” and that “their right to life, liberty, and the pursuit of happiness shall … be the supreme consideration in legislation.” Its 29 articles guaranteed basic human rights: equality, freedom from discrimination on the basis of race, creed, sex, social status or family origin, freedom of thought and freedom of religion. Finally, in its most controversial section, Article 9, the “peace clause,” Japan “renounce[d] war as a sovereign right of the nation” and vowed not to maintain any military forces and “other war potential.” To instill a thoroughly democratic ethos, reforms touched every facet of society. The dissolution of the zaibatsu decentralised economic power; the 1945 Labour Union Law and the 1946 Labour Relations Act guaranteed workers the right to collective action; the 1947 Labour Standards Law established basic working standards for men and women; and the revised Civil Code of 1948 abolished the patriarchal household and enshrined sexual equality. Reflecting core American principles, SCAP introduced a 6-3-3 schooling system, six years of compulsory elementary education, three years of junior high, and an optional three years of senior high, along with the aim of secular, locally controlled education. More crucially, ideological reform followed: censorship of feudal material in media, revision of textbooks, and prohibition of ideas glorifying war, dying for the emperor, or venerating war heroes. With women enfranchised and young people shaped to counter militarism and ultranationalism, rural Japan was transformed to undermine lingering class divisions. The land reform program provided for the purchase of all land held by absentee landlords, allowed resident landlords and owner-farmers to retain a set amount of land, and required that the remaining land be sold to the government so it could be offered to existing tenants. In 1948, amid the intensifying tensions of the Cold War that would soon culminate in the Korean War, the occupation's focus shifted from demilitarization and democratization toward economic rehabilitation and, ultimately, the remilitarization of Japan, an shift now known as the “Reverse Course.” The country was thus rebuilt as the Pacific region's primary bulwark against the spread of Communism. An Economic Stabilisation Programme was introduced, including a five-year plan to coordinate production and target capital through the Reconstruction Finance Bank. In 1949, the anti-inflationary Dodge Plan was adopted, advocating balanced budgets, fixing the exchange rate at 360 yen to the dollar, and ending broad government intervention. Additionally, the Ministry of International Trade and Industry was formed and supported the formation of conglomerates centered around banks, which encouraged the reemergence of a somewhat weakened set of zaibatsu, including Mitsui and Mitsubishi. By the end of the Occupation era, Japan was on the verge of surpassing its 1934–1936 levels of economic growth. Equally important was Japan's rearmament in alignment with American foreign policy: a National Police Reserve of about 75,000 was created with the outbreak of the Korean War; by 1952 it had expanded to 110,000 and was renamed the Self-Defense Force after the inclusion of an air force. However, the Reverse Course also facilitated the reestablishment of conservative politics and the rollback of gains made by women and the reforms of local autonomy and education. As the Occupation progressed, the Americans permitted greater Japanese initiative, and power gradually shifted from the reformers to the moderates. By 1949, the purge of the right came under review, and many who had been condemned began returning to influence, if not to the Diet, then to behind-the-scenes power. At the same time, Japanese authorities, with MacArthur's support, began purging left-wing activists. In June 1950, for example, the central office of the Japan Communist Party and the editorial board of The Red Flag were purged. The gains made by women also seemed to be reversed. Women were elected to 8% of available seats in the first lower-house election in 1946, but to only 2% in 1952, a trend not reversed until the so-called Madonna Boom of the 1980s. Although the number of women voting continued to rise, female politicisation remained more superficial than might be imagined. Women's employment also appeared little affected by labour legislation: though women formed nearly 40% of the labor force in 1952, they earned only 45% as much as men. Indeed, women's attitudes toward labor were influenced less by the new ethos of fulfilling individual potential than by traditional views of family and workplace responsibilities. In the areas of local autonomy and education, substantial modifications were made to the reforms. Because local authorities lacked sufficient power to tax, they were unable to realise their extensive powers, and, as a result, key responsibilities were transferred back to national jurisdiction. In 1951, for example, 90% of villages and towns placed their police forces under the control of the newly formed National Police Agency. Central control over education was also gradually reasserted; in 1951, the Yoshida government attempted to reintroduce ethics classes, proposed tighter central oversight of textbooks, and recommended abolishing local school board elections. By the end of the decade, all these changes had been implemented. The Soviet occupation of the Kurile Islands and the Habomai Islets was completed with Russian troops fully deployed by September 5. Immediately after the onset of the occupation, amid a climate of insecurity and fear marked by reports of sporadic rape and physical assault and widespread looting by occupying troops, an estimated 4,000 islanders fled to Hokkaido rather than face an uncertain repatriation. As Soviet forces moved in, they seized or destroyed telephone and telegraph installations and halted ship movements into and out of the islands, leaving residents without adequate food and other winter provisions. Yet, unlike Manchuria, where Japanese civilians faced widespread sexual violence and pillage, systematic violence against the civilian population on the Kuriles appears to have been exceptional. A series of military government proclamations assured islanders of safety so long as they did not resist Soviet rule and carried on normally; however, these orders also prohibited activities not explicitly authorized by the Red Army, which imposed many hardships on civilians. Residents endured harsh conditions under Soviet rule until late 1948, when Japanese repatriation out of the Kurils was completed. The Kuriles posed a special diplomatic problem, as the occupation of the southernmost islands—the Northern Territories—ignited a long-standing dispute between Tokyo and Moscow that continues to impede the normalisation of relations today. Although the Kuriles were promised to the Soviet Union in the Yalta agreement, Japan and the United States argued that this did not apply to the Northern Territories, since they were not part of the Kurile Islands. A substantial dispute regarding the status of the Kurile Islands arose between the United States and the Soviet Union during the preparation of the Treaty of San Francisco, which was intended as a permanent peace treaty between Japan and the Allied Powers of World War II. The treaty was ultimately signed by 49 nations in San Francisco on September 8, 1951, and came into force on April 28, 1952. It ended Japan's role as an imperial power, allocated compensation to Allied nations and former prisoners of war who had suffered Japanese war crimes, ended the Allied post-war occupation of Japan, and returned full sovereignty to Japan. Effectively, the document officially renounced Japan's treaty rights derived from the Boxer Protocol of 1901 and its rights to Korea, Formosa and the Pescadores, the Kurile Islands, the Spratly Islands, Antarctica, and South Sakhalin. Japan's South Seas Mandate, namely the Mariana Islands, Marshall Islands, and Caroline Islands, had already been formally revoked by the United Nations on July 18, 1947, making the United States responsible for administration of those islands under a UN trusteeship agreement that established the Trust Territory of the Pacific Islands. In turn, the Bonin, Volcano, and Ryukyu Islands were progressively restored to Japan between 1953 and 1972, along with the Senkaku Islands, which were disputed by both Communist and Nationalist China. In addition, alongside the Treaty of San Francisco, Japan and the United States signed a Security Treaty that established a long-lasting military alliance between them. Although Japan renounced its rights to the Kuriles, the U.S. State Department later clarified that “the Habomai Islands and Shikotan ... are properly part of Hokkaido and that Japan is entitled to sovereignty over them,” hence why the Soviets refused to sign the treaty. Britain and the United States agreed that territorial rights would not be granted to nations that did not sign the Treaty of San Francisco, and as a result the Kurile Islands were not formally recognized as Soviet territory. A separate peace treaty, the Treaty of Taipei (formally the Sino-Japanese Peace Treaty), was signed in Taipei on April 28, 1952 between Japan and the Kuomintang, and on June 9 of that year the Treaty of Peace Between Japan and India followed. Finally, Japan and the Soviet Union ended their formal state of war with the Soviet–Japanese Joint Declaration of 1956, though this did not settle the Kurile Islands dispute. Even after these formal steps, Japan as a nation was not in a formal state of war, and many Japanese continued to believe the war was ongoing; those who held out after the surrender came to be known as Japanese holdouts.  Captain Oba Sakae and his medical company participated in the Saipan campaign beginning on July 7, 1944, and took part in what would become the largest banzai charge of the Pacific War. After 15 hours of intense hand-to-hand combat, almost 4,300 Japanese soldiers were dead, and Oba and his men were presumed among them. In reality, however, he survived the battle and gradually assumed command of over a hundred additional soldiers. Only five men from his original unit survived the battle, two of whom died in the following months. Oba then led over 200 Japanese civilians deeper into the jungles to evade capture, organizing them into mountain caves and hidden jungle villages. When the soldiers were not assisting the civilians with survival tasks, Oba and his men continued their battle against the garrison of US Marines. He used the 1,552‑ft Mount Tapochau as their primary base, which offered an unobstructed 360-degree view of the island. From their base camp on the western slope of the mountain, Oba and his men occasionally conducted guerrilla-style raids on American positions. Due to the speed and stealth of these operations, and the Marines' frustrated attempts to find him, the Saipan Marines eventually referred to Oba as “The Fox.” Oba and his men held out on the island for 512 days, or about 16 months. On November 27, 1945, former Major-General Amo Umahachi was able to draw out some of the Japanese in hiding by singing the anthem of the Japanese infantry branch. Amo was then able to present documents from the defunct IGHQ to Oba ordering him and his 46 remaining men to surrender themselves to the Americans. On December 1, the Japanese soldiers gathered on Tapochau and sang a song of departure to the spirits of the war dead; Oba led his people out of the jungle and they presented themselves to the Marines of the 18th Anti-Aircraft Artillery Company. With great formality and commensurate dignity, Oba surrendered his sword to Lieutenant Colonel Howard G. Kirgis, and his men surrendered their arms and colors. On January 2, 1946, 20 Japanese soldiers hiding in a tunnel at Corregidor Island surrendered after learning the war had ended from a newspaper found while collecting water. In that same month, 120 Japanese were routed after a battle in the mountains 150 miles south of Manila. In April, during a seven-week campaign to clear Lubang Island, 41 more Japanese emerged from the jungle, unaware that the war had ended; however, a group of four Japanese continued to resist. In early 1947, Lieutenant Yamaguchi Ei and his band of 33 soldiers renewed fighting with the small Marine garrison on Peleliu, prompting reinforcements under Rear-Admiral Charles Pownall to be brought to the island to hunt down the guerrilla group. Along with them came former Rear-Admiral Sumikawa Michio, who ultimately convinced Yamaguchi to surrender in April after almost three years of guerrilla warfare. Also in April, seven Japanese emerged from Palawan Island and fifteen armed stragglers emerged from Luzon. In January 1948, 200 troops surrendered on Mindanao; and on May 12, the Associated Press reported that two unnamed Japanese soldiers had surrendered to civilian policemen in Guam the day before. On January 6, 1949, two former IJN soldiers, machine gunners Matsudo Rikio and Yamakage Kufuku, were discovered on Iwo Jima and surrendered peacefully. In March 1950, Private Akatsu Yūichi surrendered in the village of Looc, leaving only three Japanese still resisting on Lubang. By 1951 a group of Japanese on Anatahan Island refused to believe that the war was over and resisted every attempt by the Navy to remove them. This group was first discovered in February 1945, when several Chamorros from Saipan were sent to the island to recover the bodies of a Saipan-based B-29. The Chamorros reported that there were about thirty Japanese survivors from three ships sunk in June 1944, one of which was an Okinawan woman. Personal aggravations developed from the close confines of a small group on a small island and from tuba drinking; among the holdouts, 6 of 11 deaths were the result of violence, and one man displayed 13 knife wounds. The presence of only one woman, Higa Kazuko, caused considerable difficulty as she would transfer her affections among at least four men after each of them mysteriously disappeared, purportedly “swallowed by the waves while fishing.” According to the more sensational versions of the Anatahan tale, 11 of the 30 navy sailors stranded on the island died due to violent struggles over her affections. In July 1950, Higa went to the beach when an American vessel appeared offshore and finally asked to be removed from the island. She was taken to Saipan aboard the Miss Susie and, upon arrival, told authorities that the men on the island did not believe the war was over. As the Japanese government showed interest in the situation on Anatahan, the families of the holdouts were contacted in Japan and urged by the Navy to write letters stating that the war was over and that the holdouts should surrender. The letters were dropped by air on June 26 and ultimately convinced the holdouts to give themselves up. Thus, six years after the end of World War II, “Operation Removal” commenced from Saipan under the command of Lt. Commander James B. Johnson, USNR, aboard the Navy Tug USS Cocopa. Johnson and an interpreter went ashore by rubber boat and formally accepted the surrender on the morning of June 30, 1951. The Anatahan femme fatale story later inspired the 1953 Japanese film Anatahan and the 1998 novel Cage on the Sea. In 1953, Murata Susumu, the last holdout on Tinian, was finally captured. The next year, on May 7, Corporal Sumada Shoichi was killed in a clash with Filipino soldiers, leaving only two Japanese still resisting on Lubang. In November 1955, Seaman Kinoshita Noboru was captured in the Luzon jungle but soon after committed suicide rather than “return to Japan in defeat.” That same year, four Japanese airmen surrendered at Hollandia in Dutch New Guinea; and in 1956, nine soldiers were located and sent home from Morotai, while four men surrendered on Mindoro. In May 1960, Sergeant Ito Masashi became one of the last Japanese to surrender at Guam after the capture of his comrade Private Minagawa Bunzo, but the final surrender at Guam would come later with Sergeant Yokoi Shoichi. Sergeant Yokoi Shoichi survived in the jungles of Guam by living for years in an elaborately dug hole, subsisting on snails and lizards, a fate that, while undignified, showcased his ingenuity and resilience and earned him a warm welcome on his return to Japan. His capture was not heroic in the traditional sense: he was found half-starving by a group of villagers while foraging for shrimp in a stream, and the broader context included his awareness as early as 1952 that the war had ended. He explained that the wartime bushido code, emphasizing self-sacrifice or suicide rather than self-preservation, had left him fearing that repatriation would label him a deserter and likely lead to execution. Emerging from the jungle, Yokoi also became a vocal critic of Japan's wartime leadership, including Emperor Hirohito, which fits a view of him as a product of, and a prisoner within, his own education, military training, and the censorship and propaganda of the era. When asked by a young nephew how he survived so long on an island just a short distance from a major American airbase, he replied simply, “I was really good at hide and seek.”  That same year, Private Kozuka Kinshichi was killed in a shootout with Philippine police in October, leaving Lieutenant Onoda Hiroo still resisting on Lubang. Lieutenant Onoda Hiroo had been on Lubang since 1944, a few months before the Americans retook the Philippines. The last instructions he had received from his immediate superior ordered him to retreat to the interior of the island and harass the Allied occupying forces until the IJA eventually returned. Despite efforts by the Philippine Army, letters and newspapers left for him, radio broadcasts, and even a plea from Onoda's brother, he did not believe the war was over. On February 20, 1974, Onoda encountered a young Japanese university dropout named Suzuki Norio, who was traveling the world and had told friends that he planned to “look for Lieutenant Onoda, a panda, and the abominable snowman, in that order.” The two became friends, but Onoda stated that he was waiting for orders from one of his commanders. On March 9, 1974, Onoda went to an agreed-upon place and found a note left by Suzuki. Suzuki had brought along Onoda's former commander, Major Taniguchi, who delivered the oral orders for Onoda to surrender. Intelligence Officer 2nd Lt. Onoda Hiroo thus emerged from Lubang's jungle with his .25 caliber rifle, 500 rounds of ammunition, and several hand grenades. He surrendered 29 years after Japan's formal surrender, and 15 years after being declared legally dead in Japan. When he accepted that the war was over, he wept openly. He received a hero's welcome upon his return to Japan in 1974. The Japanese government offered him a large sum of money in back pay, which he refused. When money was pressed on him by well-wishers, he donated it to Yasukuni Shrine. Onoda was reportedly unhappy with the attention and what he saw as the withering of traditional Japanese values. He wrote No Surrender: My Thirty-Year War, a best-selling autobiography published in 1974. Yet the last Japanese to surrender would be Private Nakamura Teruo, an Amis aborigine from Formosa and a member of the Takasago Volunteers. Private Nakamura Teruo spent the tail end of World War II with a dwindling band on Morotai, repeatedly dispersing and reassembling in the jungle as they hunted for food. The group suffered continuous losses to starvation and disease, and survivors described Nakamura as highly self-sufficient. He left to live alone somewhere in the Morotai highlands between 1946 and 1947, rejoined the main group in 1950, and then disappeared again a few years later. Nakamura hinted in print that he fled into the jungle because he feared the other holdouts might murder him. He survives for decades beyond the war, eventually being found by 11 Indonesian soldiers. The emergence of an indigenous Taiwanese soldier among the search party embarrassed Japan as it sought to move past its imperial past. Many Japanese felt Nakamura deserved compensation for decades of loyalty, only to learn that his back pay for three decades of service amounted to 68,000 yen.   Nakamura's experience of peace was complex. When a journalist asked how he felt about “wasting” three decades of his life on Morotai, he replied that the years had not been wasted; he had been serving his country. Yet the country he returned to was Taiwan, and upon disembarking in Taipei in early January 1975, he learned that his wife had a son he had never met and that she had remarried a decade after his official death. Nakamura eventually lived with a daughter, and his story concluded with a bittersweet note when his wife reconsidered and reconciled with him. Several Japanese soldiers joined local Communist and insurgent groups after the war to avoid surrender. Notably, in 1956 and 1958, two soldiers returned to Japan after service in China's People's Liberation Army. Two others who defected with a larger group to the Malayan Communist Party around 1945 laid down their arms in 1989 and repatriated the next year, becoming among the last to return home. That is all for today, but fear not I will provide a few more goodies over the next few weeks. I will be releasing some of my exclusive podcast episodes from my youtube membership and patreon that are about pacific war subjects. Like I promised the first one will be on why Emperor Hirohito surrendered. Until then if you need your fix you know where to find me: eastern front week by week, fall and rise of china, echoes of war or on my Youtube membership of patreon at www.patreon.com/pacificwarchannel.

聽說每三個男生就會有一位是美食獵人，今天這集就跟著直男們一起吃翻全世界！開局馬上進入食物戰爭，究竟台北最強涼麵是哪間？誰才配得上台北夜市王的稱號？為何台灣人這麼愛火鍋？你的火鍋特調沾醬是什麼？吃到飽餐廳的戰術、最難忘的一餐等等諸如此類令人垂涎三尺的話題，還是頭一次錄節目錄到被口水嗆到 :p 隨著這趟美食之旅，你會發現豆腐對 Kai 造成的童年創傷、Sean 對雞翅的熱愛以及三位臭直男們如果面臨死刑會想要什麼食物來作為人生最後一餐！ This week, the boys are hungry

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened up 103-points this morning from yesterday's close, at 24,650 on turnover of 7.2-billion N-T. The market closed at a new high on Monday - with buying focused on the semiconductor sector as investors remain upbeat about global demand ahead of the opening tomorrow of SEMICON Taiwan. VP highlights need to bolster defense as new patrol cutter delivered Vice President Hsiao Bi-khim is underscoring the importance of strengthening national defense in the pursuit of peace and prosperity. Hsiao made the comment while overseeing (監督) the delivery to the Coast Guard Administration of the fourth 1,000-tonne class patrol cutter. Speaking at a handover ceremony at C-S-B-S's Keelung shipyard for the vessel - which has been named the "Hualien" - Hsiao underlined the importance of a modernized Coast Guard fleet amid geopolitical uncertainties. Hsiao also christened the fifth 1,000-tonne patrol cutter the "Penghu," at the ceremony. That vessel will be delivered to the Coast Guard Administration at a later date. Germany debuts at SEMICON Taiwan for stronger chip ties with Taipei And,Germany will be setting up its first ever national pavilion at SEMICON Taiwan - when the event opens tomorrow in Taipei. Semiconductor investment expert at Germany Trade & Invest, Martin Mayer says his country is looking to raise its profile (形象) and strengthen semiconductor ties with Taiwan as global chip demand accelerates. According to Mayer, Taiwan is seen as a crucial (至關重要的) partner in developing Germany's semiconductor ecosystem … … and Germany's first ever appearance at at the international semiconductor exhibition in Taipei is intended to "show presence" and signal its commitment to semiconductors, while building trust with Taiwanese companies, government and industry associations. Israel Strikes on Lebanon Kills Hezbollah Members Israel has launched airstrikes on the outskirts of northeastern Lebanon, killing five people, including four Hezbollah members. An Israeli military spokesperson said the air forces targeted Hezbollah positions and infrastructure. This comes as global pressure mounts to disarm (解除武裝) the Lebanese militant group. Since a U.S.-brokered ceasefire ended a war between Hezbollah and Israel in November, Israel has struck southern Lebanon almost daily, targeting the group. The Lebanese government has recently backed a plan to gradually disarm Hezbollah, which the group opposes. Hezbollah has not fired at Israel since November. It maintains it no longer has an armed presence south of the Litani River, but refuses to discuss disarmament until Israel stops its attacks and withdraws from five hilltop points that it captured during the war. US Supreme Court rules LA immigration raids are legal The Supreme Court has cleared the way for the Trump Administration's immigration agents to resume what critics call indiscriminate sweeps in Los Angeles. The unsigned ruling lifted a lower-court order that had blocked (封鎖，阻止) stops based on race, language, or type of work. Ira Spitzer reports That was the I.C.R.T. EZ News, I'm _____. －－－－以下為 SoundOn 動態廣告－－－－ 中國信託聯手統一集團推出uniopen聯名信用卡 2025年12月31日前消費享最高11%回饋 完成指定任務加碼每月免費跨行轉帳10次，ATM存領外幣各1次免手續費 了解詳情> https://sofm.pse.is/84pk5e 謹慎理財 信用至上 -- Hosting provided by SoundOn

Welcome to Season 5, Episode 36! Our guest this episode is the New York Times bestselling author Abigail Hing Wen. She's probably best known for the book Loveboat, Taipei and its two companion novels Loveboat Reunion and Loveboat Forever, as well as Kisses, Codes, and Conspiracies. Her latest work is The Vale which will be released on September 16th.  The Vale is Illustrated by Yuna Cheong and Brandon Wu, and it's published by our favorite publisher Third State Books. It's a coming-of-age story that is both science fiction and fantasy in a way. Bran, the main protagonist is the son of two inventors and has helped them develop an immersive VR world called the Vale. There's a little action, romance, magic, technology, and mystery; and the themes include family, belonging, persistence, love, and friendship… in other words, there's something for every reader young and old. There's also a short film prequel being created called THE VALE–ORIGINS starring the award-winning actress, singer, and stage performer Lea Salonga. We highly recommend getting the Vale, and if you pre-order it and submit the receipt, you can even get some free stickers.  We learned a lot about Abigail in our conversation beyond her education and journey to writing. Other than novels, she's a producer, director, and woman-in-tech leader specializing in artificial intelligence… and she's a mother of two. She writes and speaks about tech, AI ethics, women's leadership and transforming culture. In our conversation, we also discuss: How The Vale got published Ways she included technology that's truly believable What it was like to create an illustrated novel The power of teacher guides and thoughtful questions What to expect from her debut directorial short film The Vale Origins And much more. To learn more about Abigail Hing Wen, you can visit her website abigailhingwen.com, follow her instagram @abigailhingwen, go to her Linktree for even more links, and of course, purchase The Vale! And don't forget, if you pre-order through Barnes & Noble or an independent bookseller, you can get some free stickers. And if you're in New York, stop by Chinatown Ice Cream Factory before September 21 for a free trial size of any flavor, but we recommend The Vale inspired Elfberry Blue. If you like what we do, please share, follow, and like us in your podcast directory of choice or on Instagram @AAHistory101. For previous episodes and resources, please visit our site at https://asianamericanhistory101.libsyn.com or our links at http://castpie.com/AAHistory101. If you have any questions, comments or suggestions, email us at info@aahistory101.com.

Welcome to the Tech Latest podcast. Every Tuesday, our tech experts Katey Creel and Shotaro Tani deliver the hottest trends and news from the sector.In this episode, Katey speaks with Taipei tech correspondent Lauly Li about Thailands foray into printed circuit board production and how the products are foundational to the larger tech manufacturing pipeline.== == == == == == == == Check out this episode's ⁠⁠⁠⁠featured story below: ⁠⁠⁠⁠Thailand carves out a less-glamorous AI niche: printed circuit boards== == == == == == == == And ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠register for our weekly #techAsia newsletter here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Find more of our tech coverage here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.And for the Asian business, politics, economy and tech stories others miss, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠please subscribe to Nikkei Asia here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Thanks for listening!

Lead in gasoline powered cars have killed more people than those that died in World War Two. That's the astonishing claim of David Obst who, in his new Saving Ourselves From Big Car, lays out a strategy to kick our self-destructive automobile addiction. The former investigative reporter, who worked with Seymour Hersh on the My Lai massacre story and represented Woodward and Bernstein for All the President's Men, argues that the auto industry suppressed knowledge about lead's deadly effects for 70 years. More controversially, Obst claims electric vehicles are no better due to the lead in batteries. The only safe future is one without cars, he insists, pointing to car-free communities like Tempe, Arizona and Taipei, Taiwan as models for breaking what he calls our addiction to automobiles.1. Lead in gasoline killed more people than World War II Obst claims that from 1927 to the 1990s, lead additives in gasoline caused more deaths globally than WWII, citing World Health Organization statistics - though interviewer Andrew Keen found this claim conspiratorial.2. Electric vehicles aren't the solution Surprisingly, Obst argues EVs are just as dangerous as gas cars because their batteries contain lead. He points to Tesla fires in the California Palisades spreading lead pollution as evidence of this ongoing problem.3. The auto industry suppressed the truth for 70 years The Ethel Corporation (formed by Standard Oil, DuPont, and GM) allegedly kept lead's deadly effects secret through lobbying and silencing critics, including exiling Caltech scientist Claire Patterson who tried to expose the danger.4. Americans are "addicted" to cars Inspired by his granddaughter telling him "you are the traffic," Obst argues we must treat car dependence like any other addiction - acknowledging that 30% of gasoline is burned just looking for parking spaces.5. Car-free communities are the only answer Obst profiles successful car-free zones from Tempe, Arizona (6,000 residents, no cars allowed) to Taipei's bicycle-centric system, arguing for gradual implementation of car-free neighborhoods rather than overnight transformation.Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

I am a Girl Guide.我是女童軍 I am a Girl Guide dressed in blue, These are the actions I must do: Salute to the king, Curtsey to the queen, And turn my back to the washing-machine. ----- 雙語廣播營成果發表 (114年8月9日第一組) Let's Learn About National Education Radio (Scene: A school classroom. The teacher is talking with the students.) Teacher: When was the last time you listened to the radio? Student 1: I listened in the car! Student 2: I listened before bed! Student 3: I don't remember… Teacher: That's okay! Today, we will learn about a special radio station. It is called National Education Radio — or NER. Student 1: Where is it? Teacher: It is in Nanhai Park (南海園區). Many people go there to walk and exercise. Student 2: What does the building look like? Teacher: The NER building looks like an old Chinese palace. It has red columns and a green roof. It is a very beautiful place in Taipei. Student 3: When did it start? Teacher: NER started in 1960. It is part of the MOE (教育部) — the Ministry of Education. Student 1: Why was it made? Teacher: At first, it helped students and teachers. Now, it does more things! Student 2: Like what? Teacher: NER shares news about culture and education. It answers questions. It gives good ideas and helps people learn. Student 3: Does it have fun programs? Teacher: Yes! It has many great programs. They also won the Golden Bell Awards. (金鐘獎) Student 1: Wow! That's cool! Teacher: There is also a fun place called the Sound Story Studio (聲音故事館). Student 2: What can we do there? Teacher: You can see old photos, play games, and make your own recording! All Students: Wow! Can we go visit? Teacher: Yes! Come and join us in the world of sound! 介紹國立教育廣播電台 （場景：學校教室。老師正在和學生交談。） 老師：你上次聽廣播是什麼時候？ 學生1：我在車上聽的！ 學生2：我睡前聽的！ 學生3：我不記得了… 老師：沒關係！今天，我們將了解一個特殊的廣播電台。它被稱為國立教育廣播電台——或NER。 學生1：它在哪裡？ 老師：在南海園區。許多人去那裡散步和運動。 學生2：這棟建築物是什麼樣子的？ 老師：NER大樓看起來就像一座古老的中國宮殿。它有紅色的柱子和綠色的屋頂。這是台北一個非常美麗的地方。 學生3：什麼時候開始的？ 老師：NER 始於 1960 年。它是教育部 (MOE) 的一部分。 學生 1：為什麼有教育電台呢？ 老師：首先，它對學生和老師都有幫助。現在，它可以做更多的事情！ 學生 2：比如什麼？ 老師：NER分享有關文化和教育的新聞。它回答師生的問題。它提供了好的點子並幫助人們學習。 學生3：有好玩的節目嗎？ 老師：是的！它有很多很棒的節目而且也獲得了金鐘獎喔！ 學生 1：哇！這很酷！ 師：還有一個好玩的地方，叫聲音故事館。 學生2：我們可以在那裡做什麼？ 老師：你可以看舊照片，玩遊戲，還可以錄下自己的錄音！ 全體學生：哇！我們可以去參觀嗎？ 老師：當然可以！快來加入我們聲音的世界 ----- #每周六雙語麻吉同學會 #每周日英語童謠童話小森林 #想要無廣告收聽更多節目請點選教育電台雙語頻道 #每周六、日更新 ----- Apple｜Spotify｜Google｜KKBOX｜Firstory｜SoundOn 搜尋訂閱：NER Kids -----

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened up 64-points this morning from yesterday's close, at 24,244 on turnover of $4.1-billion N-T. Expert: High Temps as Tropical Storm Heads to Japan Forecasters say Taiwan can expect high temperatures today as a tropical storm heads towards Japan. Meteorologist Wu De-rong says weather in Taiwan will be sunny both today and tomorrow, with highs in the north reaching 37 to 38 degrees Celsius. The Central Weather Administration has issued a head alert for Taipei and New Taipei in the north, as well as Chiayi County, Tainan City, and Taitung County. And afternoon showers and thunderstorms are expected in mountainous areas. Wu says those traveling to or from Japan should be on the lookout for (密切注意著) Tropical Storm Peipah, which is expected to hit Japan's Shikoku and southern Honshu islands today. From this weekend heading into next week, Wu says moisture from the south will increase, leading to a chance of thunderstorms and heavy rain in the afternoons. And also for travelers, he adds that a tropical disturbance in the South China Sea could affect Hong Kong and Macao on Monday next week. (NS) US Health Secretary RFK Jr hammered by lawmakers US Health Secretary Robert F Kennedy Jr has defended his leadership and vaccine policies during a grilling (審問，指責) by lawmakers on Capitol Hill. It follows the departure of several top officials from the Centers for Disease Control and Prevention. Nick Harper reports from Washington. Congo Suspected New Ebola Outbreak Kills Over a Dozen Congo's health minister says a new Ebola outbreak is suspected of causing 15 deaths among 28 people with symptoms. It's the 16th outbreak of Ebola in the central African country, and the minister says the fatality rate, estimated at nearly 54-percent, showed the gravity (嚴重性) of the situation. The suspected cases included four health care workers. They all had typical Ebola symptoms such as fever, vomiting, diarrhea and heavy bleeding. The World Health Organization said it dispatched its experts to Kasai province to strengthen disease surveillance, treatment and infection prevention and control in health facilities. It is also delivering supplies including personal protective equipment, mobile laboratory equipment and medical supplies. And the W-H-O says Congo has a stockpile of treatments and of the Ervebo Ebola vaccine. Peru Commission to Vote on Reserve for Uncontacted Tribes A commission in Peru was scheduled to vote Thursday on whether to create a long-delayed reserve in a remote stretch of the Amazon that would protect five uncontacted tribes from outside encroachment. It would be in the Loreto region near the Brazil border, and is roughly the size of Jamaica. The reserve would safeguard uncontacted tribes vulnerable to disease and exploitation, but faces opposition from logging interests and political resistance. The vote follows decades of delays and comes as Congress debates changes to the Indigenous Peoples in Isolation law that could weaken protections by allowing periodic (定期的) re-evaluation and possible reduction of reserves. That was the I.C.R.T. EZ News, I'm _____. -- Hosting provided by SoundOn

Seven countries in Latin America and the Caribbean recognize Taiwan in lieu of the People's Republic of China, the most of any other region in the world. However, the number of formal Taiwan allies has been in steady decline, particularly since 2017 when Panama changed its diplomatic recognition from Taipei to Beijing and joined the Belt and Road Initiative. Today, Taiwan's status among its remaining allies appears to be under increasing pressure. In this episode, Ryan C. Berg sits down with Henry Large, a Rhodes Scholar and Doctoral candidate in Latin American Studies at the University of Oxford. Together, they discuss the history behind Panama's 2017 switch, the state of Taiwan's relationships with the region today, and why diplomatic allies matter for Taipei. They also discuss how the United States, which itself does not formally recognize Taiwan, can be a better partner in promoting ties with the region.

Join us on this inspiring episode of TBCY as host Ashutosh Garg sits down with Kurian Jacob—a retired international banker turned gold medalist at the World Masters Games 2025 in Taipei, Taiwan. From his humble beginnings in a village by the river in Kerala to becoming an international master swimmer and wellness enthusiast, Kurian shares his unique journey, his passion for fitness and swimming, and the secrets behind his success at an age where most slow down.Discover how he overcame unique challenges as a senior athlete, his insights on India's national sports policy, strategies for mental strength, his daily wellness and intermittent fasting routines, and his thoughts on gut health. Kurian's story proves it's never too late to chase excellence—whether in sports or wellness.

Jorge Diego conversa con el arquitecto Viviano Villarreal de Mass Operations sobre la importancia de participar en concursos y certámenes en el mundo del diseño y la arquitectura. Desde su experiencia ganando el Premio Firenze Entremuros hasta proyectos internacionales con OMA, Viviano reflexiona sobre cómo estas plataformas ayudan a definir trayectorias profesionales, abrir oportunidades y medir el propio trabajo frente a pares.La charla aborda temas como el valor simbólico de los premios, las diferencias entre certámenes y concursos, la historia de estas prácticas en la arquitectura, y cómo decidir en cuáles vale la pena invertir tiempo, dinero y energía. Un episodio para quienes buscan entender el ecosistema del reconocimiento profesional, más allá de la estatuilla.Escucha este episodio si estás…• Iniciando un despacho o carrera profesional.• Analizando si te conviene aplicar a concursos o premios.• Buscando visibilidad para tu trabajo como arquitecto o diseñador.• Interesado en estrategias de crecimiento profesional en industrias creativas.• Reflexionando sobre el valor cultural y simbólico del reconocimiento.Viviano Villarreal-Buerón es un arquitecto mexicano con trayectoria internacional. Egresado del Tecnológico de Monterrey y con una maestría en Diseño, Teoría y Pedagogía por SCI-Arc en Los Ángeles, ha trabajado en ciudades como Hong Kong, donde colaboró con el despacho OMA y Rem Koolhaas, al igual que en diversos despachos que le permitieron absorber influencias de Europa, Asia y América. Su práctica, Mass Operations, ha sido galardonada con premios como el Noldi Schreck y Firenze Entremuros. Con publicaciones en medios internacionales y una presencia constante en congresos, Viviano se ha consolidado como una de las voces más relevantes de la arquitectura contemporánea mexicana.Puedes seguir en Instagram a Viviano Villarreal-Buerón@massoperations Show Notes y Links relacionados a este episodioUn consejo: Participar en concursos que sumen valor y aprendizaje, no solo estatuillasRecomendaciones: • Libro: "The Genius in the Design: Bernini, Borromini, and the Rivalry That Transformed Rome" de Jake Morrissey → https://www.amazon.com/Genius-Design-Bernini-Borromini-Transformed/dp/0060525347• Revisar: Concursos en ArchDaily → https://www.archdaily.com/search/competitions• Documental: “The Competition” → https://www.thecompetitionmovie.com/• Viviano Villarreal Buerón → https://crgs.udem.edu.mx/arte-arquitectura-y-diseno/academia/profesores/viviano-villarreal-bueron• Mass Operations→ https://www.massoperations.com/• Premio Firenze Entremuros → https://www.premiofirenzeentremuros.com/• OMA (Rem Koolhaas) → https://www.oma.com/partners/rem-koolhaas• Guggenheim Helsinki Competition → https://www.archdaily.com/tag/guggenheim-helsinki• Centro de las artes escénicas de Taipei → https://www.oma.com/projects/taipei-performing-arts-centerEste episodio es patrocinado por (sponsor)(link)No te pierdas nuestros episodios, publicamos todos los Martes.Síguenos en: Instagram https://www.instagram.com/designaholic.mxFacebook https://www.facebook.com/designaholicmx/Twitter https://twitter.com/designaholicmx Suscríbete a nuestro newsletter semanal “Las 5 de la Semana” aquí: https://link.jde.design/prfNuestra página web es: http://designaholic.mxTambién te dejo mi cuenta personal donde además de publicar sobre mi estudio y los proyectos que hacemos, comparto mucho más sobre Arte, Arquitectura y Diseño. Instagram https://www.instagram.com/jd_etienneTwitter https://www.twitter.com/jd_etienne Hosted on Acast. See acast.com/privacy for more information.

In this very special episode, Dhruv welcomes back Prakhar Patidar (previously appeared on the "All We Imagine as Light" ep!) to discuss the Taiwanese New Wave of the 80s, 90s, and early 2000s because, well, they both love its particularly sad, introspective, and -- yes, that dreaded word -- SLOW -- depiction of loneliness that engulfs every fabric of one's being as they stumble around a city so intent on looking upwards (to urbanization and Americanization) that it ends up looking down upon those who don't want to be swept up by all of it.Please listen to the full episode to hear us talk -- in full spoilers -- about Edward Yang's "Taipei Story," Tsai Ming-liang's "Vive L'Amour," & Hou Hsiao-hsien's "Millennium Mambo" -- and how the depiction of contemporary Taipei -- and people's alienation within it -- changes (or not) from the 80s to the 2000s.Or, you can listen to it for Prakhar's forceful manifesto about the need & value of Slow Cinema (Viewing) in the Current Media (Viewing) Landscape.TIMECODESApologizing for our Pronunciations - [00:00 – 07:20]The Origins of the Taiwanese New Wave - [07:20 – 31:05]Summarizing TNW [for the Impatient Ones] - [31:05 – 42:23]"Taipei Story" (1985) - [42:23 – 01:10:45]“Vive L'Amour” (1994) - [01:10:45 – 01:35:56]“Millennium Mambo” (2001) - [01:35:56 – 01:52:22]Outro (Planning a Lynne Ramsay Ep!) - [01:52:22 – 01:58:17]Do hit 'Follow' on Spotify if you haven't already to help the podcast reach more people!Follow our Instagram page: ⁠https://instagram.com/queenisdead.filmpodcast⁠ARTICLES MENTIONED IN THIS EPISODE 1. “Man, Muse & Their Movies: Tsai Ming-liang & Lee Kang-sheng in the 90s” (Prakhar Patidar). 2. “What Do You Mean America is Not the Answer?: Asian Modernity & the American Dream in Edward Yang's Taipei Story” (Prakhar Patidar). 3. “A Guide to the Masterworks of New Taiwanese Wave” (James Balmont). 4. “Taiwanese New Waves in New York” (David Hudson).PODCASTS/VIDEOS MENTIONED IN THE EPISODE1. Prakhar's Tsai Ming-liang Article Research Playlist2. Slow Cinema 101⁠⁠Follow us on Instagram at:Prakhar: ⁠https://www.instagram.com/she_isatthemovies⁠⁠.Dhruv: ⁠https://www.instagram.com/terminalcinema/⁠Audio Excerpts are taken from the promotional material for Taipei Story, and select scenes from Vive L'Amour & Millennium Mambo -- all of which are discussed and referenced in this episode.

Our next guest is John Wang, the author of Big Asian Energy, a leadership coach, and cultural voice with over 240,000 followers and 25 million views. Born in Taipei and raised in North America, John brings bold insights on authenticity, identity, and confidence. In this episode, we explore cultural dynamics, including navigating relationships and personality differences, balancing individualism with collectivism, finding purpose, and transcending self-doubt into actual presence.⭐INSTAGRAM: https://www.instagram.com/johnwangofficial/⭐WEBSITE: https://www.bigasianenergy.com/

Long before 1988, Taiwan's beauty pageants had been mired in rumors — winners accused of marrying into political dynasties, whispers of contests doubling as “wife buffets” for the elite, and government crackdowns on such events being too frivolous in austere times. Even beauty standards themselves were contested as Western pageants favored tall frames and bold features, while traditional Chinese ideals prized delicacy, modesty, and the “melon-seed face.” By the time Miss Universe came to Taipei, the stage was set for both spectacle and controversy.Yet for Taiwan's government, the payoff was irresistible. Hosting Miss Universe meant sixteen minutes of global airtime to present the Republic of China's culture, heritage, and landmarks from Taroko Gorge to Yehliu's Queen's Head. For a country fighting for recognition, this beauty show was also showtime for “Free China.”Do us a favor: Rate, review, follow, sub, etc... it really helps!

This week Hannah and Bev are chuffed by the stuff that reminds them of their culture. Hannah's chuffed by Long Story Short, Netflix's time-jumping animated series about the Jewish-American Schwooper family, and Bev's chuffed by Left-Handed Girl, a feature about a woman and her two daughters making a living in a Taipei night market, from Taiwanese-American director Shih-Ching Tsou, co-written and edited by Sean Baker. Tell us what's got you chuffed: write to stopeverything@abc.net.au

Naomi Okubo's work explores delicate and often uneasy relationships between individuals, society, and the spaces that shape them. Drawing on her personal experiences, particularly her complex relationship with her mother, she examines how guise, decoration, and inherited roles—especially restrictive notions of “femininity”—affect human interactions. In her early work, Okubo depicted women without faces as a symbol of the pressures to conform in Japanese society. Over time, these faceless figures have come to function more broadly as a mirror, allowing viewers to project themselves and reflecting both individual experiences and societal dynamics. In recent years, she has also been exploring the motif of the “greenhouse/home,” a confined yet seemingly nurturing space that resonates with her upbringing and contemporary life, highlighting how environments can both protect and constrain. Her works involve a complex, multi-layered process, where materials and techniques accumulate to convey the depth and contradictions of lived experience. Okubo earned her MFA from Musashino Art University in 2011 and lived in New York from 2017–2019 with grants from the Agency for Cultural Affairs of Japan and the Yoshino Gypsum Foundation. She has exhibited widely in Asia, Europe, and the U.S., including Fou Gallery, New York (2024/25); GALLERY MoMo, Tokyo (2023); ELSA ART GALLERY, Taipei (2022); and Yoshino Gypsum Art Foundation, Tokyo (2022). She served as a residency artist at mh PROJECT, New York (2019); Residency Unlimited, New York (2017); and Art Department of Halland Municipality, Sweden (2014). Her work has been featured by Airbnb Magazine, ZEIT-magazine, Contemporary Art Curator Magazine, Financial Times, Juxtapoz Magazine, The New Yorker, Vanity Fair, and a PBS documentary. Bird Collector, 2025, Acrylic on raw canvas, 57 × 44 in. Canary Cave, 2025, Acrylic on raw canvas, 38.2 × 51.3 in. Dancing in the Flames, 2025, Acrylic on raw canvas, 28 × 12.4 in.

Jenn speaks to Taiwanese Pilates instructor, Rebecca Lin founder of ATMAN WELLNESS in Taipei. In this episode we deep dive into Rebecca's journey thus far from the lost of her late father at the age of 10, exploring herself and her talents from her school days to her postgraduate career as a journalist to hear suicidal thoughts and how a near death experiencing scuba diving in Palau at the age of 24 forever changed her perspective on life. She shares with us how she rediscovered herself, healing her relationship with her own mom and why she chose to start a fitness studio with her husband. (Recorded on July 15, 2025)About Rebecca LinRebecca ,20年的健身產業教學工作資歷，目前是教室主理人、一位母親、一位太太、一位陪伴學生、家人和自己的提燈者與擺渡人，期許自己能夠在生命旅程當中，保持善良、慈悲和體驗生命的流。Episode Resources:IG 一個瑜伽行者的自傳瑜伽真的有用嗎?愛的業力法當下的力量: 通往靈性開悟的指引當和尚遇到鑽石近乎佛教徒 (第4版)

« Dans mon Chinatown », c'est une série d'été de RFI qui vous emmène dans les quartiers chinois des grandes villes du monde sur tous les continents. On s'arrête aujourd'hui en Afrique du Sud, pays qui compte la plus importante communauté chinoise du continent. Les premiers migrants sont arrivés dès le XVIIᵉ siècle, envoyés au Cap par les autorités coloniales en tant que prisonniers ou esclaves. Après plusieurs vagues de migration, on estime aujourd'hui que cette communauté compte entre 250 000 et 350 000 personnes. À Johannesburg, deux Chinatown distincts retracent leur histoire.  De notre correspondante à Johannesburg, Sur la rue Commissioner, le magasin Sui Hing Hong est une institution. Malgré le déclin et la dégradation du vieux centre-ville, il continue vaillamment à rappeler à tous que se trouvait ici, le premier Chinatown de Johannesburg. C'est la mère de Gloria Pon qui a ouvert cette boutique dans les années 1940. « Elle disait qu'elle voulait établir un endroit où il y aurait tous les produits chinois dont on avait besoin : nos médicaments, notre nourriture, des bols et des baguettes », se souvient sa fille. La communauté chinoise sud-africaine est le fruit de vagues successives de migration. À Johannesburg, des travailleurs sous contrats ont été envoyés dès la création de la ville, suite à la découverte d'or à la fin du XIXᵉ siècle. Mais la majorité de ces mineurs sont ensuite rentrés au pays. Ceux arrivés plus tard, pour faire fortune, de la région de Canton par exemple – comme la famille de Gloria Pon –, ont été interdits de licence minière en raison de leur couleur de peau et se sont tournés vers le commerce. Ils ont alors développé tout un petit écosystème au niveau de cette rue. Le frère de Gloria, Walter, est surnommé le « maire » de Chinatown, en raison de sa passion pour l'histoire de la communauté. « Voici un autre bâtiment très ancien, des années 1900. C'est la propriété du club chinois. En ces temps-là, lorsque les Chinois arrivaient en Afrique du Sud, ils n'avaient pas de famille. Donc ils étaient accueillis ici, jusqu'à ce qu'ils trouvent un travail. Et lorsqu'ils mourraient, qui les enterraient ? Le club », explique-t-il. L'octogénaire se souvient notamment de la vie sous apartheid et des discriminations subies : « Quand on voulait s'asseoir dans un train, il fallait aller dans la zone réservée aux Noirs, une zone qui était sale, détériorée. La zone des Blancs était toute propre, mais on ne pouvait pas y accéder. » À lire aussiAfrique du Sud: l'August House, la grande colocation d'artistes en plein centre de Johannesburg Aujourd'hui, ne reste que quelques restaurants, témoins de cette histoire, ainsi que la boutique de feux d'artifices tenue par un autre frère de la famille Pon. Il faut se rendre à une poignée de kilomètres de là, dans l'ancienne banlieue juive de Cyrildene, pour découvrir le deuxième Chinatown de Johannesburg. Ce sont d'autres flux de migration qui lui ont donné naissance : d'abord des Taïwanais, encouragés à venir dans les années 1980 par le gouvernement de l'apartheid qui entretenait des liens avec Taipei. Puis, il y a eu de nouvelles arrivées du centre de la Chine, lorsque la démocratie sud-africaine s'est rapprochée de Pékin. Evonne Chen, 22 ans, est serveuse dans un petit café situé au pied de l'immense arche colorée qui marque l'entrée du quartier. Dans sa famille, elle est la première génération née sur place : « Je travaille à mi-temps ici, car j'étudie également les ressources humaines. Ce sont mes grands-parents qui sont venus ici, vers 1992-1993. Nous n'avons pas l'intention de rentrer, puisque ici, c'est un très beau pays. Moi, je parle taïwanais et mandarin, car mes grands-parents ne parlent pas anglais. » Nous retrouvons à l'extérieur Ufrieda Ho, qui a beaucoup écrit sur le sujet, et notamment sur sa propre famille. Ces lieux sont finalement, pour elle, à l'image de la communauté : divers et composites. « Ce n'est pas un groupe homogène, il y a beaucoup de nuances et de différents contextes. Je pense que c'est pour ça que ces deux Chinatown sont distincts : cela raconte les différentes formes de migrations et leur interaction avec la politique sud-africaine de l'époque », explique-t-elle. Malgré de forts liens entre Pékin et Pretoria, deux membres des Brics, les conditions économiques ont rendu l'Afrique du Sud moins attractive, ces dernières années, pour les nouveaux migrants chinois.

Simple Simon met a pieman, Going to the fair; Says simple Simon to the pieman, Let me taste your ware. Says the pieman to simple Simon, Show me first your penny; Says simple Simon to the pieman, Indeed, I have not any. 單純的賽門遇到一個賣派的人，正要往市集去；單純的賽門跟賣派的人說， 讓我嘗嘗你要賣的東西吧！賣派的人跟單純的賽門說；讓我先看看你有沒有錢吧； 單純的賽門對賣派的人說，是哦，我是一分錢也沒有呢。 補充： Simple: 簡單的/單純的 fair: (a.) 公平的 It's not fair. / (n.)市集，博覽會 ware : 商品/貨物 first: 先/ show me first 先給我看 ---- 雙語廣播營成果發表 (8月2日第二組) Let's Learn About National Education Radio (Scene: A school classroom. The teacher is talking with the students.) Teacher: When was the last time you listened to the radio? Student 1: I listened in the car! Student 2: I listened before bed! Student 3: I don't remember… Teacher: That's okay! Today, we will learn about a special radio station. It is called National Education Radio — or NER. Student 1: Where is it? Teacher: It is in Nanhai Park (南海園區). Many people go there to walk and exercise. Student 2: What does the building look like? Teacher: The NER building looks like an old Chinese palace. It has red columns and a green roof. It is a very beautiful place in Taipei. Student 3: When did it start? Teacher: NER started in 1960. It is part of the MOE (教育部) — the Ministry of Education. Student 1: Why was it made? Teacher: At first, it helped students and teachers. Now, it does more things! Student 2: Like what? Teacher: NER shares news about culture and education. It answers questions. It gives good ideas and helps people learn. Student 3: Does it have fun programs? Teacher: Yes! It has many great programs. They also won the Golden Bell Awards. (金鐘獎) Student 1: Wow! That's cool! Teacher: There is also a fun place called the Sound Story Studio (聲音故事館). Student 2: What can we do there? Teacher: You can see old photos, play games, and make your own recording! All Students: Wow! Can we go visit? Teacher: Yes! Come and join us in the world of sound! --------------------------------------- 介紹國立教育廣播電台 （場景：學校教室。老師正在和學生交談。） 老師：你上次聽廣播是什麼時候？ 學生1：我在車上聽的！ 學生2：我睡前聽的！ 學生3：我不記得了… 老師：沒關係！今天，我們將了解一個特殊的廣播電台。它被稱為國立教育廣播電台——或NER。 學生1：它在哪裡？ 老師：在南海園區。許多人去那裡散步和運動。 學生2：這棟建築物是什麼樣子的？ 老師：NER大樓看起來就像一座古老的中國宮殿。它有紅色的柱子和綠色的屋頂。這是台北一個非常美麗的地方。 學生3：什麼時候開始的？ 老師：NER 始於 1960 年。它是教育部 (MOE) 的一部分。 學生 1：為什麼有教育電台呢？ 老師：首先，它對學生和老師都有幫助。現在，它可以做更多的事情！ 學生 2：比如什麼？ 老師：NER分享有關文化和教育的新聞。它回答師生的問題。它提供了好的點子並幫助人們學習。 學生3：有好玩的節目嗎？ 老師：是的！它有很多很棒的節目而且也獲得了金鐘獎喔！ 學生 1：哇！這很酷！ 師：還有一個好玩的地方，叫聲音故事館。 學生2：我們可以在那裡做什麼？ 老師：你可以看舊照片，玩遊戲，還可以錄下自己的錄音！ 全體學生：哇！我們可以去參觀嗎？ 老師：當然可以！快來加入我們聲音的世界 ------ #每周一進階英語瘋英語 #每周六雙語麻吉同學會 #每周日英語童謠童話小森林 #想要無廣告收聽更多節目請點選教育電台雙語頻道 #每周一、六、日更新 ----- Apple｜Spotify｜Google｜KKBOX｜Firstory｜SoundOn 搜尋訂閱：NER Kids -----

正聲廣播2025 Podcast YeAr播客年會優質聲音節目競賽開跑！ 生活風格、SDGs永續以及正聲創意業配獎3大類，特優2萬、優勝1萬、佳作5千，即日起開放報名！ 活動詳情： https://sofm.pse.is/83fdnu －－－－以上為 SoundOn 動態廣告－－－－ 蕭彤雯 主持 生活同樂會

We talk Premier Cho Jung-tai vowing to improve communications, a reversal of opposition against a cash handout, the return of the Taipei rainbow crosswalk and more. -- Hosting provided by SoundOn

“People at home always ask, ‘When are you moving back?' But honestly, I'm not sure I could.” – Krista BernardIf you grew up in a small town—or in Krista's case, a village with 500 people including cows—you'll know the feeling of leaving and never quite seeing it the same again.Adrie Lopez Mackay (yep, my amazing wife) takes over the mic to speak with our good friend Krista Bernard, who traded dairy farms and long Canadian winters for the chaos and charm of Saigon.It's her birthday, she's relaxed, and she's open about it all—from living in Hanoi and blowing out her ACL shortly after moving to Saigon, to discovering the freedom, diversity, and weird quirks of life in Vietnam's biggest city.I loved this episode—not just because Adrie nailed her first time as guest host—but because Krista's story is so familiar to many of us living here. She's honest, reflective, and quietly hilarious.Key Talking Points:From rural Canada to Saigon – Krista's background and what made her move abroad.Cultural contrasts – How small-town life compares to the diversity and pace of a mega city.Overcoming setbacks – Her ACL injury and how it shaped her first year in Saigon.City life discoveries – Food, activities, and travel opportunities in Saigon.Lessons from Taipei – Cleanliness, infrastructure, and what Saigon could learn.Chapters & Timestamps:[00:00] Introduction & Host Debut – Adrie takes over hosting duties and introduces Krista Bernard.[02:10] Growing Up in Rural Canada – Life in a 500-person village and dairy farming roots.[05:15] Choosing Life Abroad – Why Krista left Canada and how friends and family reacted.[07:40] The Move to Saigon & ACL Setback – Injury, recovery, and the struggle to settle in.[12:05] Discovering Saigon – Food variety, activities, and becoming more mobile.[15:20] Taipei vs. Saigon – First impressions of Taipei and what Saigon could learn.[18:45] City Changes & Reflections – Saigon's growth, Western comforts, and life lessons.Whether you've lived abroad or just dreamed about it, this episode is a reminder of what you gain when you leave—and what you leave behind.

How do we live radiantly when the world seems bent on our erasure?Today we meet Caro De Robertis and we're talking about the queer book that saved their life: Notes of a Crocodile by Qiu Miaojin, translated by Bonnie Huie.Caro's books best-selling books have Stonewall Book Awards and the Golden Poppy Octavia E. Butler Award; and, they have been finalists for the PEN/Faulkner Award, Lambda Literary Award, and the Kirkus Prize. These books include The Palace of Eros, The President and the Frog, Cantoras, The Gods of Tango, and Perla. Caro was the first openly nonbinary person to received the John Dos Passos Prize for Literature. A professor at San Francisco State University, Caro is co-curating Conjuring Power: the Roots & Futures of Queer & Trans Movements, for San Francisco's Yerba Buena Center for the Arts. It will open Spring 2026. Their newest book is So Many Stars: An Oral History of Trans, Nonbinary, Genderqueer, and Two-Spirit People of Color.Set in the post-martial-law era of late-1980s Taipei, Notes of a Crocodile is a coming-of-age story of queer misfits discovering love, friendship, and artistic affinity while hardly studying at Taiwan's most prestigious university. Told through the eyes of an anonymous lesbian narrator nicknamed Lazi, this cult classic is a postmodern pastiche of diaries, vignettes, mash notes, aphorisms, exegesis, and satire by an incisive prose stylist and major countercultural figure.Connect with Carowebsite: caroderobertis.cominstagram: @caro_derobertisOur BookshopVisit our Bookshop for new releases, current bestsellers, banned books, critically acclaimed LGBTQ books, or peruse the books featured on our podcasts: bookshop.org/shop/thisqueerbookBuy Notes of a Crocodile: https://bookshop.org/a/82376/9781681370767Buy So Many Stars: An Oral History of Trans, Nonbinary, Genderqueer, and Two-Spirit People of Color: https://bookshop.org/a/82376/9781643756875Become an Associate Producer!Become an Associate Producer of our podcast through a $20/month sponsorship on Patreon! A professionally recognized credit, you can gain access to Associate Producer meetings to help guide our podcast into the future! Get started today: patreon.com/thisqueerbookCreditsHost/Founder: John ParkerExecutive Producer: Jim PoundsAssociate Producers: Archie Arnold, K Jason Bryan and David Rephan, Bob Bush, Natalie Cruz, Jonathan Fried, Paul Kaefer, Joe Perazzo, Bill Shay, and Sean SmithPatreon Subscribers: Stephen D., Terry D., Stephen Flamm, Ida Göteburg, Thomas Michna, Sofia Nerman, and Gary Nygaard.Creative and Accounting support provided by: Gordy EricksonQuatrefoil LibraryQuatrefoil has created a curated lending library made up of the books featured on our podcast! If you can't buy these books, then borrow them! Link: https://libbyapp.com/library/quatrefoil/curated-1404336/page-1We're in Iceland for PRIDE, so we're taking this week off! We'll be back with a new episode on August 12th with guest Caro De Robertis talking about the queer book that saved their life: Notes of a Crocodile by Qiu Miaojin, translated by Bonnie Huie.Support the show

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

How has the Australia-China relationship changed since the Prime Minister's last visit to China in 2023? From China's perspective, how does its relationship with Australia fit into its current worldview? And how has US policy under Trump impacted that relationship? What does the future hold for the Australia-China relationship, given China's increasingly assertive foreign and strategic policies? In this episode, Rowan Callick and Will Glasgow join Susan Dietz to unpack PM Anthony Albanese's recent visit to China and the complexities of navigating the Australia–China relationship.Rowan Callick OBE is an Expert Associate at the ANU National Security College (NSC). He is an experienced journalist with extensive China and other Indo-Pacific expertise. Will Glasgow is The Australian's North Asia Correspondent, now based in Beijing. He has lived and reported from Beijing and Taipei since 2020. Susan Dietz is Senior Executive Advisor, China at NSC. TRANSCRIPT Show notes NSC academic programs – study with us We'd love to hear from you! Send in your questions, comments, and suggestions to NatSecPod@anu.edu.au. You can tweet us @NSC_ANU and be sure to subscribe so you don't miss out on future episodes. Hosted on Acast. See acast.com/privacy for more information.

Mark Montgomery, a retired US Navy rear admiral who is now the senior director of the Center on Cyber and Technology Innovation at the Foundation for Defense of Democracies and the executive director of the Cyber Solarium 2.0 project, joins Defense & Aerospace Report Editor Vago Muradian to discuss how to improve defense cooperation with Taiwan to prepare for the kind of embargo and blockade scenarios Beijing has been practicing; whether the Trump administration will continue its support for Taipei given Washington last week blocked Taiwanese President Lai Ching Te from transiting the United States to visit Paraguay; how to address gaps and seams in the US-Japan alliance; worries across Asia in the wake of the Trump administration's rhetoric toward Europe; what to expect from the upcoming National Security Strategy and Force Posture Review; the impact of personnel cuts on US cybersecurity; and look at recent congressional budget moves and their impact on naval power.

Today, Jess, Les, and Bishop dive into Taiwan's recent recall vote targeting more than two dozen KMT legislators accused of obstructing legislation and aligning too closely with Beijing. While the vote ultimately failed and all KMT lawmakers kept their seat, it has deepened Taiwan's political gridlock and highlighted growing polarization in Taipei. With President Lai still lacking a legislative majority, questions are mounting over the KMT's ability to block critical defense spending and what that could mean for Taiwan's security.What does the failed recall tell us about the current state of Taiwanese politics? How is the Trump Administration's tough-love strategy shaping Taiwan's domestic dynamics? And if Trump cuts a trade deal with Beijing, could Taiwan's security be caught in the crossfire?Check out the sources that helped shape our Fellows' discussions: https://www.cnn.com/2025/07/26/asia/taiwan-votes-china-lawmaker-election-latam-intlhttps://edition.cnn.com/2025/07/23/asia/taiwan-recall-vote-explained-hnk-intlhttps://www.cfr.org/blog/what-failed-recall-taiwan-means-us-taiwan-and-cross-strait-relationsFollow our experts on Twitter: @lestermunson@NotTVJessJones@BishopGarrisonLike what we're doing here? Be sure to rate, review, and subscribe. And don't forget to follow @faultlines_pod and @masonnatsec on Twitter!We are also on YouTube, and watch today's episode here: https://youtu.be/CPlDN7TTyQo Hosted on Acast. See acast.com/privacy for more information.

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened down 217-points this morning from yesterday's close, at 23,443 on turnover of 7.2-billion N-T. The market rebounded from slumps seen during the the previous two sessions on Tuesday following a strong showing on Wall Street overnight. **President Lai Ching-te vows to increase defense budget to more than 3% of **GDP President Lai Ching-te says he plans to increase next year's defense budget to more than 3-per cent of G-D-P. Speaking at the opening of the Ketagalan Forum-Indo-Pacific Security Dialogue in Taipei, Lai said the budget will be increased based on continuing reforms within the island's armed forces and more investment (投資) in national defense. According to Lai, his administration will also continue to boost Taiwan's economic resilience and advance economic security by stepping up trade cooperation with other countries, And Lai also used his opening address to say his government remains committed to maintaining cross-strait "status quo”and ensuring peace and stability across the Taiwan Strait. 10 KMT affiliates indicted in Chiayi for recall petition forgery The Chiayi District Prosecutors' Office has indicted 10 people affiliated with K-M-T for forging 2,067 signatures on a petition to recall D-P-P lawmaker Chen Guan-ting. Those indicted include Yang Fu-cheng, the secretary-general of the K-M-T's Chiayi County branch; Ho Bo-lun, the director of -K-M-T lawmaker Wang Yu-min's local office. The eight other people indicted all worked for the K-M-T' Chiayi County branch. According to the Prosecutors' Office, all 10 suspects have charged with forgery (偽造) and violations of the Personal Data Protection Act. Another eight people have been granted deferred prosecution for one year. NATO to coordinate regular and large-scale arm deliveries to Ukraine NATO is set to coordinate (協調) regular and large-scale arm deliveries to Ukraine The AP's Jennifer King reports. Nigeria Trafficked Birds Seized Nigerian customs have seized over 1,600 parrots and canaries being transported from Lagos to Kuwait without a permit. This is one of the biggest wildlife trafficking seizures in years. On July 31, customs agents seized ring-necked parakeets and green and yellow fronted canaries at Lagos airport. These are protected species. The birds were not accompanied by the required permits. An investigation is ongoing (正在進行的) to find those responsible. The birds will be handed to the National Parks Service for rehabilitation and release. That was the I.C.R.T. EZ News, I'm _____. －－－－以下為 SoundOn 動態廣告－－－－ 挺你所想！與你一起生活的銀行 中國信託行動銀行APP 全新推出「交易中安全提示」防詐騙功能 開啟後，轉帳的同時也在通話，會自動跳出貼心提醒，力挺你的金融安 全 防護再進化，交易好安心！ 馬上下載「中國信託行動銀行APP」 https://sofm.pse.is/7zc5n3 -- Hosting provided by SoundOn

Geoff checks in from Germany, while in the middle of another Round-the-World trip Firstly, thanks to millionpodcasts.com who have recognized Seat 1A as one of their 25 Best Travel Hacking Podcasts. Geoff checked in from central Germany, a day after arriving in Frankfurt from Bangkok via Muscat, Oman. Geoff had started planning this Round-the-World trip in October 2024, when a terrific points flight offer showed up on Aeroplan to fly from Bangkok to Frankfurt via Muscat. The trip included Geoff's longest ever flight from Toronto to Taipei, Taiwan; an A330 to Da Nang, Vietnam; flying the long way around a massive storm in Hanoi, Vietnam; a flight to the new terminal at Siem Reap/Angkor, Cambodia; an ATR72 flight to Bangkok and First and Business class service via Oman. If you have trip plans or experiences that you would like to share, please email us at stories(at)seat1a.org or find us on Facebook, Bluesky, Threads and Instagram. If you wish to support the show financially, we are on Patreon. Show notes are available online at http://podcast.seat1a.org/

大稻埕夏日節 Dàdàochéng xià rì jié – Dadaocheng Summer Festival大稻埕煙火 Dàdàochéng yān huǒ – Dadaocheng fireworks市集 shì jí – market or fair (often temporary and festive)煙火秀 yān huǒ xiù – fireworks show七夕情人節 Qīxī qíng rén jié – Qixi Festival; Chinese Valentine's Day北門站 Běi Mén zhàn – Beimen Station (on the Taipei MRT Green Line)靜修女中 Jìng xiū nǚ zhōng – Jinxiou Girls' High School (a local bus stop name)雙連站 Shuāng lián zhàn – Shuanglian Station (on the Taipei MRT Red Line)大橋頭站 Dà qiáo tóu zhàn – Daqiaotou Station (on the Taipei MRT Orange Line)大稻埕碼頭 Dàdàochéng mǎ tóu – Dadaocheng Wharf貨櫃市集 huò guì shì jí – container market (market made from shipping containers)異國料理 yì guó liào lǐ – exotic/international cuisine冰涼 bīng liáng – icy and refreshing; cold調酒 tiáo jiǔ – mixed drink; cocktail夕陽 xì yáng – sunset街頭藝人 jiē tóu yì rén – street performer迪化街 Dí huà jiē – Dihua Street (a historic and traditional street in Taipei)南北貨 nán běi huò – traditional dry goods and groceries from all over Taiwan中藥 zhōng yào – traditional Chinese medicine霞海城隍廟 Xiá hǎi chéng huáng miào – Xiahai City God Temple (famous temple in Taipei)月老 Yuè lǎo – the Chinese god of love and marriage求姻緣 qiú yīn yuán – to pray for a romantic relationship or a good marriage match靈驗 líng yàn – effective; spiritually responsive or miraculous景點 jǐng diǎn – tourist attraction; scenic spot水岸光廊 shuǐ àn guāng láng – Riverside Light Corridor (a decorative light installation along the river)沿著 yán zhe – along (a road, river, etc.)淡水河邊 Dàn shuǐ hé biān – by the Tamsui River燈飾裝置 dēng shì zhuāng zhì – decorative light installationPlanning to travel or move to Taiwan? If you'd like to improve your Chinese before you go, feel free to book a one-on-one lesson with me.I'll help you improve your Chinese so you can settle in more comfortably when you arrive.Book a one-on-one trial lesson with me !

Fluent Fiction - Mandarin Chinese: Flavorful Triumph: Ling's Unforgettable Mystery Tea Win Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2025-08-01-22-34-02-zh Story Transcript:Zh: 在台北的一个热闹的夏日午后，阳光透过泡泡茶店的窗户，洒在颜色鲜艳的墙壁和柜台上，空气中弥漫着新鲜泡好的茶香。En: On a lively summer afternoon in Taipei, sunlight streamed through the windows of a bubble tea shop, casting its rays on the brightly colored walls and counters, while the air was filled with the aroma of freshly brewed tea.Zh: 这一天，泡泡茶店正举办一个神秘口味比赛，胜者可以免费喝一年的泡泡茶。En: On this day, the bubble tea shop was hosting a mystery flavor contest, with the winner receiving free bubble tea for a year.Zh: 玲看了看四周，满是参赛者和观众，她信心满满。En: Ling looked around, surrounded by participants and spectators, feeling completely confident.Zh: 她一直觉得自己对泡泡茶的口味了如指掌，总是能第一时间辨出各种奇特的味道。En: She had always felt that she had an expert palate for bubble tea flavors and could instantly identify various unusual tastes.Zh: 她身边的朋友伟，虽然不太相信玲能赢，但还是无条件支持她。En: Her friend Wei, although not fully convinced that Ling could win, supported her unconditionally.Zh: 店主源正忙着准备比赛的茶，脸上挂着一丝神秘的微笑。En: The shop owner, Yuan, was busy preparing the contest tea, a mysterious smile on his face.Zh: 今天的比赛，他准备了一个特别的口味，让大家来猜一猜。En: For today's contest, he prepared a special flavor for everyone to guess.Zh: 玲站在前排，目不转睛地盯着即将开始的比赛。En: Ling stood in the front row, her eyes fixed on the contest that was about to begin.Zh: 比赛开始，玲小口地品尝着茶，眉头微皱，这个味道真是奇怪。En: As the contest began, Ling took small sips of the tea, her brow furrowed.Zh: 无论她怎么分析，这个味道都让她摸不着头脑。En: This taste was truly strange.Zh: 于是，玲转向了她最好的朋友，伟。En: No matter how she analyzed it, she couldn't quite figure it out.Zh: “伟，我闻到了什么奇怪的香味，但就是说不上来。En: So, she turned to her best friend, Wei.Zh: ”玲苦恼地说。En: "Wei, I'm picking up on some strange aroma, but I just can't place it," Ling said in frustration.Zh: “或许你可以试着把它和家里的食谱联系起来？En: "Maybe you could try to relate it to a family recipe?"Zh: ”伟建议道。En: Wei suggested.Zh: 玲思考了片刻，突然想到了一种家族特有的甜品，添加了榴莲和薰衣草。En: Ling thought for a moment and suddenly recalled a unique family dessert that incorporated durian and lavender.Zh: 她决定大胆一试。En: She decided to take a bold guess.Zh: 随着时间一点点流逝，玲心里说出那个大胆的猜测：“是榴莲加薰衣草！En: As time ticked away, Ling voiced her daring speculation: "It's durian with lavender!"Zh: ”比赛结束，店主源微笑着宣布：“答案正确！En: The contest ended, and the shop owner Yuan announced with a smile, "The answer is correct!Zh: 这就是榴莲混合薰衣草的特别口味。En: It's a special durian mixed with lavender flavor.Zh: 恭喜玲！En: Congratulations, Ling!"Zh: ”玲高兴得跳了起来，周围响起一片掌声。En: Ling jumped up in joy as applause erupted around her.Zh: 她赢得了比赛，也学会了一个教训：再有把握的事情也要谨慎对待。En: She had won the contest and learned a valuable lesson: no matter how confident you are, things should be approached with caution.Zh: 同时，她感激伟一路的支持。En: She also felt grateful for Wei's unwavering support.Zh: 比赛结束后，玲与伟一起享受着免费的泡泡茶，一边分享着她的胜利心得。En: After the contest, Ling and Wei enjoyed free bubble tea together, sharing her victorious experience.Zh: 一切都在这个夏日的泡泡茶店里变得那么完美。En: Everything became so perfect in the bubble tea shop that summer day. Vocabulary Words:lively: 热闹的streamed: 洒aroma: 香气brewed: 泡好的contest: 比赛spectators: 观众confident: 信心满满expert: 了如指掌palate: 味觉unconditionally: 无条件mysterious: 神秘的furrowed: 皱眉analyzed: 分析determine: 辨出speculation: 猜测daring: 大胆的applause: 掌声victorious: 胜利的unwavering: 坚定的incorporated: 添加了unique: 特有的approached: 对待valuable: 宝贵的lesson: 教训caution: 谨慎grateful: 感激的support: 支持ticks: 流逝announce: 宣布recipe: 食谱

On July 26th the day of the historic vote to recall 24 Kuomintang (KMT) legislators we were with the Shān chú wēi hài (山除薇害) recall group in Taipei at Rongxing Garden (榮星花園) Rongxing garden, which is more like a park, for a sort of watch party with about a hundred volunteer recall campaigners. The recall vote results were being televised live on a series of oversized screens that had been set up in the park.   When we finally learned the results of the recall vote It was a shock. 0 of 24 legislators had been recalled. What a sad, disappointing day. I could see it in the faces of the recall volunteers and at the same time it was touching to see how they consoled each other as some could help but burst into tears. The leaders of the recall group asked everyone to join hands and to form a circle in a sign of solidarity and encouragement Carol and Eric shared their initial thoughts with us.   Related Links:

On our first day in Taiwan July 25th we went into the streets of Taipei where recall campaigners from the the Shān chú wēi hài (山除薇害) recall group were doing a last minute push asking people to get out and vote for the recall of 24 KMT legislators on July 26th.   Related Links: https://talkingtaiwan.com/first-day-in-taipei-day-before-the-great-recall-ep-320/   We previously interviewed 3 recall campaigners from this group- Carol, Eric and Acho in episode 316. Eric explaining the meaning behind the recall group's name.   Later that day we sat down to interview A-Mei the recall group's spokesperson who was doxed by the Kuomintang.   We will be releasing our full interview with A-Mei at a later date so stay tuned for that.   We ended the night at a recall campaign rally so spirited that you'd never guess that we were all standing in the pouring rain getting soaked.   Related Links: https://talkingtaiwan.com/first-day-in-taipei-day-before-the-great-recall-ep-320/

槓桿不賭命是一檔美股投資者的真實記錄，我是何星。每集我會完整告訴你我的資產配置，以及如何運用槓桿跟著資本成長。你我都是普通人，我不追求成功，我只想要生活輕鬆。如果你跟我一樣，podcast搜尋槓桿不賭命 https://fstry.pse.is/7ykvp5 —— 以上為 Firstory Podcast 廣告 —— 免費追蹤，更新資訊不漏接： https://open.firstory.me/join/clh1qknlp0h0s01w286nq3i04 加入會員，支持節目： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04 留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments 歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868 六個月的線上陪伴計畫報名表： （2025.07 第二階段開始） https://reurl.cc/7KzaRb 「布姐的交誼廳。陪你聊人生聊職場」Line 社群 https://reurl.cc/36NWEL(密碼：love) 本集重點： 體悟「自我證明無效」：努力做給別人看，只換來短暫關注，後來懂得轉向為自己而做。自由接案的選擇標準：即使商業合作金額高，也會回到「是否是我想做的」這個原則。理性盤點支持轉職：財務確認後才有底氣轉型，選擇並非衝動，而是謹慎的實踐。日本生活是經過可行性驗證的選擇：先用三個月探索，確認這樣的生活是否適合自己。對生活有強烈的畫面感與設計感：不是衝動行動，而是基於具體想像與細緻規劃。《下班後人生才開始》一書分享生活感提案：書中100件小事都是從生活中萃取的靈感。生活儀式感的重要性：從泡茶、做菜、考試等小事中創造日常幸福感。不再把熟悉的人事物當理所當然：如家人相處、住家附近的咖啡店等。願意分享，也渴望被回饋：透過留言評論、社群互動得到幸福感來源。對想轉職的人提出「可行範圍內先行動」的建議：不是全然放棄，而是理性評估、逐步實踐。 來賓 張安安 　　一個努力上班也努力下班的人，經營了一個播放著日常生活並有著27萬訂閱人次的頻道， 這個頻道叫做《安安台北小日常》。著有《1個人的下班料理》食譜書。 　　♪ YouTube頻道｜27萬．安安台北小日常Ann in Taipei 　　安安台北小日常 Ann in Taipei 　　♪ Instagram｜5.6萬．安安台北小日常Ann in Taipei 　　www.instagram.com/taipei_serenade 　　♪ Facebook粉絲專頁｜4萬．安安小日常Ann in Taipei 　　www.facebook.com/Ann.in.Taipei 　　♪ Facebook社團｜65萬．佈置藏在生活裡 　　www.facebook.com/groups/282078109564569/

The pay-per-crawl model for compensating content creators on the Internet, what sorts of content might win if that market actually materializes, and the grim outlook for today's digital publishers. From there: Thoughts on the cost structures that can succeed, the value of community and direct connections to customers, and Stephen Colbert's exit at CBS. At the end: Questions on big tech's hiring power, contractors at startups, Chinese AI development, F1 broadcast rights, alternative rock, and what to do in Taipei and DC.

This Bits and Pieces episode blows from here to there—just like Typhoon Danas, which recently battered John's beloved Chiayi. It's a little chaotic, a little wild. We jump from Belgium to Yemen to 1950s Taipei, where we meet Pierre Ryckmans, a young scholar who arrived in Taiwan on a cargo ship and ended up learning brushwork from the cousin of China's last emperor—a famously tedious teacher who refused to leave his studio to tutor Madame Chiang Kai-shek after she took up painting at 53. We wrap things up with the Generalissimo himself, who, despite a full-hour audience, somehow managed to leave absolutely no impression on Ryckmans, a man who would become a giant in the world of sinology.PLEASE – leave a review, follow & "like" on social media. Thanks!

「讀癮」線上廣播，千人熱愛收聽！由主持人Robert帶你探索閱讀、成長、職場、人際、財商等多元議題。精選故事與嘉賓分享，啟發思考、激發行動，打造屬於你的知識饗宴。無論尋找靈感或解答，這裡總有一集適合你！快搜尋「讀癮」FB、IG、Threads，與我們互動、五星推薦，加入眾多聽眾行列，共創生命價值！ https://fstry.pse.is/7yc277 —— 以上為 Firstory Podcast 廣告 —— 免費追蹤，更新資訊不漏接： https://open.firstory.me/join/clh1qknlp0h0s01w286nq3i04 加入會員，支持節目： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04 留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments 歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868 六個月的線上陪伴計畫報名表： （2025.07 第二階段開始） https://reurl.cc/7KzaRb 「布姐的交誼廳。陪你聊人生聊職場」Line 社群 https://reurl.cc/36NWEL(密碼：love) 本集重點： 工程師的假象快樂：安安曾經熱愛加班，後來發現那只是「自我感動式的成就感」。 覺察與轉向：安安透過與自己的深度對話，意識到加班無效後開始改變生活方式。 從興趣變接案：她從拍片的興趣出發，開始接案以了解市場需求。 建立副業心態：透過接案認識客戶需求，進一步為自己打基礎。 YouTube 頻道誕生：開始拍攝房屋裝潢影片，頻道逐漸成長。 內容與技能同步演化：生活變化帶動頻道主題進化，從裝潢到便當、跑步、軟裝設計。 經驗中的自我承認：她坦承組樂團失敗、軟裝案無法持續等經驗，過程中學習放下與面對。 拍片是唯一持續的事：安安發現拍影片能持續給予她成就感與喜悅。 為了目標，拒絕業配：在10萬訂閱前她拒絕所有合作案，只為了忠於自己想做的內容。 幻想 vs 現實落差：達到目標（10萬訂閱獎牌）後，感受到現實的平靜，體悟人應該忠於內在的成就感。 來賓 張安安 一個努力上班也努力下班的人，經營了一個播放著日常生活並有著27萬訂閱人次的頻道，這個頻道叫做《安安台北小日常》。著有《1個人的下班料理》食譜書。 ♪ YouTube頻道｜27萬．安安台北小日常Ann in Taipei 安安台北小日常 Ann in Taipei ♪ Instagram｜5.6萬．安安台北小日常Ann in Taipei www.instagram.com/taipei_serenade ♪ Facebook粉絲專頁｜4萬．安安小日常Ann in Taipei www.facebook.com/Ann.in.Taipei ♪ Facebook社團｜65萬．佈置藏在生活裡 www.facebook.com/groups/282078109564569/

South Korea and China have a complex relationship characterized by economic interdependence, strategic competition, and regional security concerns. Navigating this delicate balance has been a defining challenge for every South Korean president. Newly elected President Lee Jae Myung has assumed power at a time of increasing US-China strategic competition as well as uncertain global supply chains and growing threat from North Korea. Could this new administration mark a shift in Seoul's approach to Beijing? Or will President Lee maintain strategies similar to that of President Yoon?To discuss ROK-China relations, and President Lee's approach to this intricate issue, we are joined on the podcast today by Dr. Ramon Pacheco-Pardo. He is a professor of international relations at King's College London and the KF-VUB Korea Chair at the Center for Security, Diplomacy and Strategy in the Brussels School of Governance. He is also an adjunct fellow with the Korea Chair at the Center for Strategic and International Studies, and the author of several books on the domestic affairs and foreign policy of South and North Korea.  Timestamps[00:00] Start[01:44] “[P]ragmatic diplomacy centered on national interests”[05:06] State of Play for Sino-South Korean Relations[09:56] Balancing Between the United States and China[14:47] China Taking Advantage of US-ROK Frictions [19:03] Economic Interdependence as a Leverage[25:39] Xi Jinping Attending APEC South Korea 2025[31:11] American Pressure on Allies to Protect Taiwan

Il 20 luglio gli elettori giapponesi hanno votato per il rinnovo di metà della camera alta del parlamento e la coalizione di governo ha perso la maggioranza. Con Marco Zappa, docente di storia e lingua giapponese all'università Ca' Foscari Venezia, da Taipei.Alcuni studenti italiani si sono rifiutati di sostenere l'esame orale della maturità, per protesta contro i criteri di valutazione di un sistema scolastico che giudicano troppo competitivo. Con Francesca Coin, sociologa.Oggi parliamo anche di: Serie tv • Shrinking su Appletv+Ci piacerebbe sapere cosa pensi di questo episodio. Scrivici a podcast@internazionale.it Se ascolti questo podcast e ti piace, abbonati a Internazionale. È un modo concreto per sostenerci e per aiutarci a garantire ogni giorno un'informazione di qualità. Vai su internazionale.it/abbonatiConsulenza editoriale di Chiara NielsenProduzione di Claudio Balboni e Vincenzo De SimoneMusiche di Tommaso Colliva e Raffaele ScognaDirezione creativa di Jonathan Zenti

輝達 huī dá - NVIDIA, a major American technology company known for graphics processing units (GPUs)設立 shè lì - to establish or set up總部 zǒng bù - headquarters電腦展 diàn nǎo zhǎn - COMPUTEX執行長 zhí xíng zhǎng - CEO or executive director黃仁勳 Huáng Rénxūn - Jensen Huang, co-founder and CEO of NVIDIA宣布 xuān bù - to announce北投士林科技園區 (北士科) Běi tóu Shì lín Kē jì Yuán qū (Běi shì kē) - Beitou Shilin Technology Park, a tech district in Taipei業務 yè wù - business operations評估 píng gū - to evaluate or assess輝達星座 huī dá xīng zuò - NVIDIA Constellation, the name of NVIDIA's planned Taiwan headquarters; "星座xīng zuò" literally means "constellation"人才 rén cái - talent or skilled people星星 xīng xing - stars辦公大樓 bàn gōng dà lóu - office building研發中心 yán fā zhōng xīn - R&D center (Research and Development Center)創新中心 chuàng xīn zhōng xīn - innovation center人工智慧 rén gōng zhì huì - artificial intelligence (AI)領域 lǐng yù - field or area of expertise加分 jiā fēn - to give extra credit or enhance; metaphorically, to boost or improve技術 jì shù - technology or technique創新 chuàng xīn - innovation台積電 Tái jī diàn - TSMC (Taiwan Semiconductor Manufacturing Company)鴻海 Hóng hǎi - Foxconn, a major Taiwanese electronics manufacturer廣達 Guǎng dá - Quanta Computer, a Taiwanese tech company合作密切 hé zuò mì qiè - closely cooperate緊密 jǐn mì - tight or close (relationship, cooperation, etc.)機器人 jī qì rén - robot學術單位 xué shù dān wèi - academic institutions培養 péi yǎng - to cultivate or nurture (talent, skills)招募 zhāo mù - to recruit工程師 gōng chéng shī - engineer看重 kàn zhòng - to value or attach importance to強 qiáng - strong or powerful供應鏈 gōng yìng liàn - supply chain晶片 jīng piàn - chip (as in semiconductor chip)組裝 zǔ zhuāng - to assemble伺服器 sì fú qì - server (computer hardware)環節 huán jié - link or part (in a process or system)優秀 yōu xiù - excellent or outstanding高效能運算 gāo xiào néng yùn suàn - high-performance computing (HPC)If you're ready to take your Chinese to the next level, not just memorizing words but actually having meaningful conversations with Taiwanese people about real topics like politics, culture, war, news, economics, and more. I invite you to join a one-on-one trial lesson with me. I'll help you build a clear, personalized plan so you can speak more naturally and truly connect with others in Chinese. Book a one-on-one trial lesson with me !

We meet painter Charlotte Keates within her new installation ‘Inner Landscapes'. We discover the inspiration behind her epic new commission and explore her lifelong passion for drawing and painting.Keates' work is inspired by interiors, travels, and architectural composition, in seamless communion with elements from the natural world. Trees push through flat concrete, while perspectives unfold in sheets of glass. These images of modernist leisure leave one with the feeling of having entered a space only recently vacated, dramatizing stillness without surrendering movement. These are environments that suggest, technically as well as artistically, indistinct human activity and motion.Her paintings gently weave together impressions of space and structure with subtle narratives, often emerging through the interplay of distinctive colours and carefully placed objects. These scenes do not depict real places but rather reflect traces of memory and quiet moments of perception. The spaces she constructs are imagined, yet the emotions they carry feel genuine and immediate. Without relying on overt storytelling, her works convey a calm presence and a quiet tension. As art historian Marco Livingstone observed, “the highlighted area acquires a hypnotic presence, as if spotlit into existence from within an atmosphere of ambiguous limitless space.”Keates was born in 1990 in Somerset, United Kingdom, and currently lives and works in Guernsey and London. She received her Bachelor of Fine Arts degree from Falmouth University. She will show new work in a forthcoming group exhibition at the Ju Ming Museum in October 2025, Taipei, Taiwan.Follow @CharlotteKeates on Instagram.

In this episode, a young American missionary family boards a cargo ship for Taiwan in 1955. What could go wrong? Four weeks, a typhoon, and a customs nightmare later, they arrive in a land where whole-wheat flour is exotic, and blonde kids conjure crowds. Taipei in the 1950s was “fragrant,” with open sewers and “honey buckets” filled with human waste used as fertilizer. This week on Formosa Files, we bring you a missionary tale of faith, grit…and refrigerator duties.  Leave a comment, follow us on social media and/or give us a rating or review – it's much appreciated and helps others discover this podcast.

打造綠能與AI科技的示範驗證場域，串聯嘉義、南科、高雄及屏東等園區，大南方智慧轉型的關鍵樞紐，歡迎一同探索沙崙智慧綠能科學城，共創智慧未來！ 參訪進駐資訊請至 https://sofm.pse.is/7w7s2t 網站查詢 經濟部能源署/臺南市政府經濟發展局(廣告) --

In Episode 425 of Hidden Forces, Demetri Kofinas speaks with geopolitical and intelligence analyst Dmitri Alperovitch about the new security dynamics and economic opportunities that arise from America's and Israel's attacks on Iran, the risks of strategic overreach, and whether U.S. actions do more to compel or deter a Chinese invasion of Taiwan. In the first hour, Alperovitch scrutinizes Israel's decision to initiate a series of targeted strikes against Iran's nuclear program, including their decision to assassinate key nuclear scientists and senior members of the IRGC. We discuss America's choice to participate in this campaign, Iran's response, potential additional repercussions from these attacks, political conditions within the Islamic Republic, and whether this latest round of violence might precipitate the collapse of the Iranian government or incite a coup against its supreme leader, Ali Khamenei. In the second hour, Alperovitch is asked whether he believes Trump's decision to involve the American military directly in Israel's war with Iran was in America's national interests or if it results in strategic overreach that will further undermine American security and the credibility of American global leadership. He and Kofinas discuss how this move is perceived by other regional players like Saudi Arabia and the Gulf States, how it alters the security dynamics in the Middle East, and how it affects Dmitri's assessment of the risks Washington faces in its broader Cold War with the People's Republic of China. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Joining our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 06/23/2025