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  1. Last 7 days
    1. A 2009 agreement insisted on by the European Commission meant that Microsoft could not make security changes that would have blocked the update from cybersecurity firm Crowdstrike that caused an estimated 8.5 million computers to fail, the Big Tech giant said in comments to the Wall Street Journal newspaper.

      ||VladaR||||anastasiyakATdiplomacy.edu|| This is a very interesting move where competition policy and cybersecurity will colide.

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    1. Modi sent his foreign minister, Subrahmanyam Jaishankar, to the Shanghai Cooperation Organisation (SCO) at its annual meeting in the Kazakhstan capital, Astana, which was also attended by Putin and the Chinese president, Xi Jinping.
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    1. “expert systems” which used symbolic logic to capture and apply the best of human know-how.

      Centrality of expert systems.

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    1. Amos Hochstein, Joe Biden’s envoy for energy security, hopes that, by redirecting exports to the Atlantic, supply chains will shift decisively westward.

      Shift westwards

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    1. simulating reasoning, avoiding hallucinations, and enhancing the capacity to use external tools.

      Challenges for AI assistant.

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  2. Jul 2024
    1. Join our community of global citizens empowered by The New Humanitarian’s independent journalism from the heart of crises, conflicts, and disasters.

      Membership of New Humanitarian

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    1. tested this idea by “spiking” (ie, turning up) a feature associated with the Golden Gate Bridge.

      ||JovanNj||||anjadjATdiplomacy.edu||

    2. “mechanistic interpretability”.

      Machine interprebaility.

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    1. “lots of different brains looking at the same source at the same time”.

      Diplo methodology

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    1. I fully agree with the statement.  Water is a critical resource that underpins various sectors of the economy, including agriculture, manufacturing, energy, and cities

      ||Jovan|| o, we discussed this point. What is XY saying here. It is completely new dyanmis.

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    1. The New Popular Front (NFP) coalition led by Melenchon and its allies won a plurality in France’s National Assembly in the second round of the parliamentary elections on Sunday, taking 187 seats in the 577-seat National Assembly, interior ministry figures show.

      this is important.

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    1. negative effects of brokering on brokers and those whose well-being is affected by the activities of brokers

      ||sorina|| we discussed this yesterday. It is counter-arguemtn to your position.

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    1. a digital factory can stitch together emerging technologies (AI, machine learning, and intelligent automation) with other tools, such as ServiceNow, Salesforce, and SAP, to replace or augment existing processes.

      ||Jovan|| Combining AI with existing tools.

    2. This approach led to a much more business and value-focused reporting capability, including:

      Advantages of reporting.

    3. Instead of rushing to use technology to automate existing reports, they asked fundamental questions about what reporting is needed, why, and how they could pivot this set of activities to growth while reducing costs.

      ||JovanK|| How to revisit existing procedures.

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  3. Jun 2024
    1. LMSYS Chatbot Arena

      How to compare LLMs

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    1. This constituted 5% of the Indonesian population, a higher casualty rate than among many major belligerents, including the United States (0.3%), Britain (0.9%) and Japan (3.9%).

      it is example how opinioneted is Harari. He does not mentione Russia's lost which was 15% beause it is not 'politically correct'.

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    1. There is a lot of innovation theatre.”

      avoid 'innovation theatre'

    2. For its part, the icrc warns that ai systems are potentially unpredictable, opaque and subject to bias, but accepts they “can facilitate faster and broader collection and analysis of available information…minimising risks for civilians”.

      Red Cross views.

    3. “If…machines produce a lower false positive and false negative rate than humans, particularly under pressure, it would be unethical not to delegate authority,”

      Interesting point

    4. Lavender is likely to be what experts call a decision-support system (dss)

      ||JovanK||

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    1. Studies also indicate that llms preferentially cite other papers that are highly cited in a field, potentially reinforcing existing biases and limiting creativity

      Reinforcing existing biases.

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    1. New UNESCO report warns that Generative AI threatens Holocaust memory

      ||MariliaM|| Hi Marilia, here is UNESCO's report on disinformation and anti-semitism.

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    1. In a more or less explicit way, this constitutive power dimension of technology always includes the worldview of those who invented and developed it.

      ||MariliaM|| How to make value-neutral AI development?

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    1. the rules, norms and standards

      ||sorina|| How can we make clear distinction between rules, norms, and standards?

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    1. “Kafkaesque”, first coined in the late 1930s, has become a label for nightmarish, complex and illogical situations, from government investigations to customer-service lines to nowhere.

      What is Kafkaesque situation?

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  4. May 2024
    1. Multiple Vector Databases — Connect to multiple vector databases to enhance Agent performance.

      What does it mean?

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    1. Even now, investors are lukewarm about such gambles. In recent weeks they have applauded Google’s capex plan

      ||VladaR||

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    1. told the World Economic Forum

      Do we have more info about this report?

    2. In a report released on April 5th, the Threat Intelligence team at Microsoft,

      Do we have this report?

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    1. only four of the 11 countermeasures were widely endorsed in the research literature:

      Only disinformation counter-measures that work.

    2. a technique known as “psychological inoculation” or “pre-bunking”.

      To put more information about this approach.

    3. the Global Engagement Centre, an agency in the us State Department.

      Another actor/initiative in this field.

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    1. The “news media bargaining code”, passed in 2021, obliged Google and Facebook to pay news outlets when search results or social-media feeds linked to their articles.

      News media bargaining code.

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    1. Meta banned access to some websites after Canadian government introduced law for big tech platforms to pay media publishers for content they use. Google agreed to pay. Meta refused. Meta agreed on the similar deal in Australia which they plan to leave (not to renew).

      What are a few lessons according to this article: * Single country even of the size of Canada cannot take on big platforms such as Meta. EU may be in position or a grop of countries. * The bigegst victims are small publishers * Canada is trying to use other laws to contain power of Meta such as anti-monopoly rulings (to be considered in our toolkit).

    2. In future, whenever Meta faces demands for payment, “they will just walk away,” Mr Doub said.

      Yes, if they handle single country. But, if there are a few countries it will be different.

    3. News Media Canada, which supports the new law, is attacking Meta on another front, lodging a complaint with Canada’s competition regulator, arguing that Meta’s link-blocking is an abuse of its dominant position.

      Anti-monopoly rulings as part of content policy.

    4. NewsGuard, a fact-checking organisation, found that “unreliable” sources accounted for 6.9% of engagement with news on Facebook in Canada in the 90 days after the blackout, compared with 2.2% in the 90 days before.

      Ban on google increased dis/mis-information.

    5. Energetic City has signed up 5,000 readers to an email newsletter, built a mobile app and put up posters around town with qr codes leading to its website. “We basically have to reteach our readers how to find the news,”

      Retraining users how to find news.

    6. The law promised “fairness in the Canadian digital-news marketplace”.

      Canadian law on digital media

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    1. How does the way the DSA addresses (and differentiates between) hate speech and harmful content impact Palestinian digital rights on major online platforms?

      Palestinian rights on platforms.

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    1. As a marketer, Jun was all about making quick decisions and fast iterations. Riley, however, followed the stringent protocols of their production team and was methodical and risk-averse.

      Different professional cultures.

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    1. Evaluating Language Model Capabilities

      How to evaluate LLM capabilities?

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    1. The Baader–Meinhof phenomenon is a cognitive bias referring to the tendency to notice something more often after noticing it for the first time, leading to the belief that it has an increased frequency of occurrence.

      ||minam|| Important congitive bias for dealing with AI.

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    1. Senior executives frequently are too far removed from day-to-day operations to understand what truly needs to change. Consequently, top-down solutions tend to be superficial or at least short-lived. Frontline managers, meanwhile, often lack the contextual understanding to challenge existing processes, and so trim around the edges rather than propose major changes. But midlevel executives tend to have enough experience to see the shortcomings in current operations—and aren’t so close to the ground that they get lost in the weeds.

      importance of middle management

    2. notably, a lack of urgency, insufficient leadership, limited vision, poor communication, and a shortage of “quick wins.”

      AI transformation needs these elements It requires 'quick win's.

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    1. Having a crisp mental model around a problem, being able to break it down into steps that are tractable, perfect first-principle thinking, sometimes being prepared (and able to) debate a stubborn AI — these are the skills that will make a great engineer in the future, and likely the same consideration applies to many job categories.

      Future set of skills

    2. the gold standard of learning — personalized tutoring — may be available to everyone.

      new educational approach

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    1. the “rules-based international order”,

      typical phrase

    2. Rarely have international courts been busier.

      Busy time for international courts.

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    1. could triple its share of American power consumption by 2030, to 7.5%.

      Use of energy by AI

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    1. more action-oriented discussions at the UN on international security issues in cyberspace

      ||VladaR|| Of relevance for Geneva dialogue.

    2. In an effort to increase digital solidarity in the realm of foreign assistance, USAID launched the Donor Principles for Human Rights in the Digital Age in partnership with Canada’s International Development Research Centre (IDRC),

      ||StephanieBP|| This is of relevance for SDC.

    3. action-oriented discussions

      ||VladaR|| this is of relevance for Geneva Dialogue.

    4. Satellite Communication Networks

      ||sorina|| Something of interest for you

    5. The Future of AI Technologies Governance

      ||sorina||||MariliaM|| A good news is that US is focusing on short-term risks.

    6. Challenges of the Digital Economy

      ||MariliaM|| Hi Marilia, could you check how US strategy covers digital economy?

    7. Cyber Attacks and National Security Threats

      ||VladaR||||AndrijanaG|| Could you analyse this section on cyberseucirty. You can annotate

    8. The rapid growth of AI technology, however, comes with the significant risk that its use may exacerbate inequality and economic instability, stifle competition, cause consumer harm, aggravate discrimination and bias, invade privacy, enhance malicious cyber activity, and improve authoritarian capabilities for surveillance and repression. AI will challenge how we compensate for the uses of intellectual property as well as authenticate, label, or detect synthetic content. AI may also require workforce adaptations across economies; the rising energy demands of high-end AI chips and data centers could become a significant barrier to developing local capabilities.

      ||sorina|| Good summary of AI governance issues.

    9. Digital solidarity is a willingness to work together on shared goals, to help partners build capacity, and to provide mutual support.[1] Digital solidarity recognizes that all who use digital technologies in a rights-respecting manner are more secure, resilient, self-determining, and prosperous when we work together to shape the international environment and innovate at the technological edge. Central to the tenets of digital solidarity are efforts to support allies and partners, especially emerging economies, to fully seize the opportunities presented by new technologies and sustainably pursue their economic and development goals. Digital solidarity aligns U.S. national interests with those of our international partners through compatible approaches to technology governance, sustains strong partnerships with civil society and the private sector, and embraces cybersecurity resilience built on a diversity of products and services made by trusted technology vendors. It highlights the mutual support that the United States and its partners offer one another to counter and respond to malicious cyber operations, cybercrime, and other digital harms, and promotes cooperative efforts among states and civic actors to defend and advance human rights. In addition, the concept of digital solidarity rests on efforts to build digital and cyber capacity so that partners are not only better able to build a defensible and resilient digital ecosystem over the long term but are also able to respond and recover quickly when incidents that threaten security, safety, and rights happen. The actions and efforts of this strategy are intended to demonstrate and build digital solidarity with partners across the globe.

      Definition of digital solidirity

    10. the October 2022 National Security Strategy (NSS)

      Basis is national security approach

    11. working together to offer mutual assistance to the victims of malicious cyber activity and other digital harms; assist partners – especially emerging economies – in deploying safe, secure, resilient, and sustainable technologies to advance their development goals; and builds strong and inclusive innovation economies that can shape our economic and technological future.

      What is digital solidarity?

    12. to build digital solidarity

      New concept in global lingo ||sorina|| ||Pavlina|| ||VladaR|| ||StephanieBP||

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    1. a subtle difference in their meaning

      Difference between disinformation and misinfomration: dis - intentionally, mis-unintationally.

    2. The vocabulary of disinformation

      A good dictionary of disinformation.

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    1. First is “placement”, or the initial posting of the lie.

      Three phases of placement of fake news.

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  5. Apr 2024
    1. the Israeli government is split.

      ||sorina|| follows on our discusion

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    1. Excellent statistics on development assistance.

    2. AidData

      ||minam|| Another relevant data.

    3. “true multilateralism” where “universal security” replaced “universal values”

      ||VladaR|| Core changes in multilateral language.

    4. It has built an index of states’ power from 1960 to 2022.

      To be consulted by our data team. ||minam||

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    1. It is also claimed that the IDF would be willing to risk killing 15-20 civilians in order to strike a Hamas fighter. For Hamas battalion or brigade commanders, that number rose to more than 100 civilians.

      Tolerable number of humans killed.

    2. But in 2016 Heather Roff and Richard Moyes, then writing for Article 36, a non-profit focused on the issue, cautioned that a person “simply pressing a ‘fire’ button in response to indications from a computer, without cognitive clarity or awareness”, does not meaningfully qualify as “human control”.

      ||VladaR|| Critical aspect for 'human control'

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    1. Detailed summary of AI and intellectual property rights. ||Jovan||

    2. the eu ’s directive on digital copyright was passed in 2019, when generative AI was not a thing. “There is no way the Europeans would pass [such a directive] today,” says Mr Sag.

      Why not?

    3. Tennessee last month passed the Ensuring Likeness Voice and Image Security ( ELVIS ) Act, banning unauthorised deepfakes in the state.

      ||Jovan|| about deepfakes

    4. A number of news publishers have reached a similar conclusion

      Here are various 'Ask approaches'.

    5. A survey of media executives in 56 countries by the Reuters Institute found that 48% expected there to be “very little” money from AI licensing deals.

      Pessimistic about licencing deals

    6. Shutterstock, a photo library, has licensed its archive to both Open AI and Meta, the social-media empire that is pouring resources into AI . Reddit and Tumblr, online forums, are reportedly licensing their content to AI firms as well.

      Position of different cmpanies.

    7. Partners so far include the Associated Press, Axel Springer (owner of Bild and Politico), Le Monde and Spain’s Prisa Media.

      Deals between OpenAI and media houses.

    8. Outside America, the legal climate is mostly harsher for tech firms.

      ||Jovan|| Survey of copyright law in various jurisdicitons.

    9. The lawyering is now happening.

      ||Jovan|| Major court cases.

    10. tech firms are again seeking forgiveness rather than permission

      Classical approach

    11. Common Crawl,

      Company that scraps the Internet.

    12. the model learns by trial and error how tokens are normally combined.

      ||Jovan|| Good point how AI learns.

    13. “They have created an amazing edifice that’s built on a foundation of sand.”

      Good point

    14. AI s are trained on vast quantities of human-made work

      ||Andrej|| Please follow-up on this. It is relevant for our course for Kuwait and their linguistical projects.

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    1. In 2022 he proposed a framework called “Joint Embedding Predictive Architecture” ( JEPA ),

      ||JovanNj||||anjadjATdiplomacy.edu|| What is this technology about?

    2. Andrej Karpathy, a researcher formerly at Open AI , explained in a recent talk that current LLM s are only capable of “system 1” thinking. In humans, this is the automatic mode of thought involved in snap decisions. In contrast, “system 2” thinking is slower, more conscious and involves iteration.

      ||Jovan|| Is not it opposite of AI having access to 'system 2'

    3. Since 2017 most AI models have used a type of neural-network architecture known as a transformer (the “ T ” in GPT ), which allowed them to establish relationships between bits of data that are far apart within a data set.

      ||Jovan|| Transformes is linking data which are far apart within a data set.

    4. When the LLM is in its learning phase, it compares its predictions against the version of reality available in its training data. If these diverge, the algorithm makes small tweaks to each layer of the network to improve future predictions. That makes it computationally intensive and incremental.

      ||Jovan|| How AI is learning.

    5. Companies like Scale AI and Surge AI have built large networks of people to generate and annotate data, including P h D researchers solving problems in maths or biology. One executive at a leading AI startup estimates this is costing AI labs hundreds of millions of dollars per year.

      ||Jovan|| Check these companies as interesting data model for annotations.

    6. The main points from this article - start of Llama3 - high-quality textual data will run dry from the Internet in 2026 - development of 'multimodal' capabilities. - SaleAI and SurgeAI are doing annotations - life is more compelx from clear-cut decisions.

    7. Epoch AI , a research outfit, estimates the well of high-quality textual data on the public internet will run dry by 2026.

      Need for smart data.

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    1. flow of information and energy are critical for global economy. In this field there are battles between China and USA. this battle will affect global economy for 1.2% of globagl GDP.

      China leads in EVs and green eocnomy, while it is weak in chipmaking. US export control seems to slow.

      Next battle will be in quantum and sensing technologies.

      A Summary: The ongoing tech wars between the United States and China, which began during the Trump administration and continue under Joe Biden, are having significant global implications. The International Monetary Fund (IMF) estimates that the elimination of high-tech trade between the two countries could cost as much as $1 trillion annually, equivalent to 1.2% of global GDP. The battles are primarily taking place in the chipmaking and green technology sectors.

      The US is actively encouraging the expansion of chip production within its borders, providing subsidies to companies like Taiwan's TSMC and South Korea's Samsung. It also maintains high tariffs on Chinese solar panels and electric vehicles (EVs). China, on the other hand, has become a global leader in green technology with companies like Longi, CATL, and BYD, but it faces obstacles in the chipmaking industry due to US restrictions on chipmaking technology imports.

      While the focus has recently been on app-related disputes, such as pressuring Chinese owners to sell platforms and removing certain apps from app stores, the real battle lies in the control of chipmaking and energy technologies. The risks and consequences of this tech war are significant, including a potential loss of focus on critical areas, strained relationships with Japan and Europe, slower economic growth, and the potential fragmentation of global information and energy-technology industries.

      The Biden administration has followed a relatively predictable approach to China and technology, but a more aggressive campaign by the Trump administration could lead to worse outcomes for all parties involved. It is crucial to monitor the shifting dynamics of the tech wars, the impact on chipmaking and green technology sectors, and the potential consequences on the global economic landscape.

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    1. The Senate requested Tik-Tok to be sold by ByteDance. China's government, who is shareholder by ByteDance, refused to seel shares.

      TikTok will challenge the Senate's decisions in the court on the basis of the First Amendment and freedon of spreech.

      The result of this challenge will have two major impacts: - content governance of other social media platforms; - follow-up by other countries who are likely to follow US example as, for example, Europe did in the case of Huawei and chip-export.

      ||Jovan||

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    1. Op-ed Writing: Tips and Tricks

      Tips for op-ed writing

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    1. The Israeli-Palestinian publication +972 Magazine and Hebrew-language media outlet Local Call reported recently that the Israeli army was isolating and identifying thousands of Palestinians as potential bombing targets using an AI-assisted targeting system called Lavender.

      Source

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    1. Nigerian officials are kicking off legal proceedings against Binance and two of its senior executives, accusing them of money laundering and tax evasion.

      ||ArvinKamberi|| Arvine evo teksta o Binance i Nigeriji.

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  6. Mar 2024
    1. Meta’s recent decision to shut down Facebook News, which was a source of revenues for many content providers, as potentially hurting the economics of the news industry, thus lowering the quality of journalism and, by extension, undermining the political process.

      Attack on journalism

    2. TTD has rolled out an alternative open-source technology, known as Unified ID 2.0 ( UID 2), that it hopes will improve on cookies as an industry standard.

      Highly relevant standard.

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    1. The TechPlomacy Approach

      Description of Techplomacy

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    1. ||Jovan|| Here is a good summary of the current developments in cryptocurrency. It is a bit PR, but it provides a useful overall summary. A few questions for us: - Does DW covers these developments? - Is there anything we can do to follow systematically this field as WSJ indicates or Atlantic Council presents effectively https://www.atlanticcouncil.org/cbdctracker/

      Soruce of article: https://deloitte.wsj.com/riskandcompliance/decentralized-finance-may-transform-how-money-is-managed-b443f30e?mod=Deloitte_riskcomp_wsjarticle10_eNL_SSFY24

    2. Central Bank Digital Currency Tracker – Atlantic Council
    3. regulatory uncertainties

      Key aspects.

    4. With tokenization and programmable money, transactions can be executed instantly, anytime, and from anywhere.

      What about national regulations?

    5. It could significantly enhance payroll processes, providing a way to compensate people on a more ongoing or recurring basis, such as per job for gig workers or per day for salaried workers.

      Payment for micro-activites.

    6. These assets can include securities, loans, public and private funds, hedge funds and money markets, private equity, environmental credits, real estate, commodities, ownership rights, voting rights, and content licensing.

      What can be tokenized?

    7. The Internal Revenue Service has also developed guidance on digital assets, treating them as property for federal tax purposes.

      It is critical that cryptoassets can be taxed.

    8. 130 jurisdictions globally are either launching, piloting, developing, or researching central bank digital currencies (CBDCs),

      ||ArvinKamberi||||minam|| This could be an intteresting map.

    9. Crypto-Assets Regulation

      Do we have this regulation?

    10. provided comprehensive guidance for how authorities can address the macroeconomic and financial stability risks

      Do we have this documents?

    11. “Supercharging the way money is used suggests new risks and benefits, and the rapid acceleration of AI could help accelerate the adoption of digital assets.”

      Combining blockchain and AI.

    12. The permissioned blockchain is designed to provide interoperability and control for powering synchronized financial markets to enable secure, controlled exchanges of data and value.

      Exchange of tokens

    13. blockchain, smart contracts, and the tokenization of assets.

      Technologies behind this shift.

    14. commercial adoption, regulation, and tokenization,

      Major processes

    15. Numerous countries are setting in place regulatory frameworks

      ||ArvinKamberi|| Do we have survey of current regulations and processes per country? Do we have, for example, world map with indication of countries that adopted regulations of bitcoin, etc.?

    16. they have the potential to replace certain services that today are provided by intermediaries such as banks, stock exchanges, or brokers.

      Where are we today with promisses of blockchain technologies?

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    1. One solution would be for countries to work together, to learn from each other and create minimum global standards.

      Role for WHO.

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    1. The Summit of the Future in 2024 is an opportunity to agree on multilateral solutions for a better tomorrow, strengthening global governance for both present and future genera-tions

      @jovan This is important to know

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    1. Cyber security training for the Board of Directors

      Useful offer

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    1. The more serious problem is that Iran’s and Russia’s economies are too similar to be natural trading partners. Of the top 15 categories of goods that each exports, nine are shared; ten of their 15 biggest imports are also the same.

      How to view economic complementarity.

    2. Iranian and Russian ministers have revived negotiations to extend the International North-South Transport Corridor ( INSTC ), a 7,200km route connecting Russia to the Indian Ocean via Iran.

      Important route for expert from Rssia.

    3. Last July Iran became the ninth member of the Shanghai Co-operation Organisation,

      Participation of Iran in various regional cooperations.

    4. In December imports of Russian crude reached 2.2m b/d, or 19% of China’s total, from 1.5m b/d two years ago. In the second half of last year, Iran’s exports to China averaged 1m b/d, a 150% rise from the same period in 2021.

      increase of oil export to China.

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    1. Experts expect some inference to start moving from specialist graphics-processing units ( GPU s), which are Nvidia’s forte, to general-purpose central processing units ( CPU s)

      ||JovanNj||||aleksandarsATdiplomacy.edu|| Kako ce se ovo desiti?

    2. A good summary of tech industry according to the layers.

    3. Third, and most important, big tech has the greatest potential to control every layer of the stack, from chips to applications.

      Real power of tech companies.

    4. Hippocratic AI , has trained its model on data from exams to enter medical school, to give accurate medical advice.

      Hippocratic AI

    5. Nixtla developed Time GPT , a model for financial forecasting.

      financial forecast

    6. to respond to queries (“inference”, in tech-speak)

      ||sorina|| 'Inference' is 'query' in tech speak.

    7. Technological breakthroughs tend to elevate new tech giants.

      Each technological breakthrough raised some companies.

    8. We examined

      Four layers of AI companies.

    9. to get a sense of which businesses are real winners in the AI boom

      Important for anchoring AI developments in reality.

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    1. ||sorina||||MariliaM|| Here is an interesting article on Pope's Message on AI arguing that antrophocentrism created a lot of distortion in adopting technology. We have to discover ourselves and 'others' in order to deal properly with technology. ||Jovan||

    2. Asking yourself what the world will be like tomorrow means asking yourself what youwant and decide to do today.

      ||Jovan||||anitalATdiplomacy.edu|| For our course on future

    3. the expression was coined to be catchy andvague, as John McCarthy, its creator, tells us.

      Whi even term artificial intelligence is misleading

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    1. AI study of corner kicks.

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    1. An excellent studies of the limits of counter-intuitive answers to economic and societal problems.

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    1. A ban on TikTok could open the door to many of these apps being consigned to the digital dustbin.

      Chinese apps in USa may follow similar develpment

    2. The 30 biggest Chinese video-game makers account for 18% of the industry’s global sales outside China.

      Chinese share of video-gaming market.

    3. The firm that makes them, Joyy, is based in Singapore, just like TikTok.

      Most Chinese tech companies are based in Singapore.

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    1. “ AI factories”,

      ||sorina|| New terminology in EU is 'AI factory'

    2. n 2018 the EU launched Euro HPC , a bloc-wide project to expand number-crunching capacity. The outfit is set to spend nearly €8bn ($8.7bn) between 2018 and 2027 on a dozen or so new supercomputers.

      EU's high computing facility. ||sorina|| It could be follow-up to our presentaiton to College of Europe.

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    1. 46% of Chinese get their news from short-video apps such as Douyin, the domestic form of TikTok which has about 740m active monthly users (China’s population is 1.4bn).

      Survey of Chinese social media market

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    1. the Congo canyon
    2. Just five submarine cables (including one under construction) run up Africa’s west coast between South Africa and Nigeria. Three of these were knocked offline on March 14th.

      Major disruption

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    1. ||VladaR|| Ukraine war was somehow off the media focus. Here is a good summary what is going on currently.

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    1. Nvidia’s AI chips, also known as graphics processor units ( GPU s) or “accelerators”, were initially designed for video games.

      ||sorina|| This paragraph explains well Nvidia's AI chps.

    2. Since January 2023 the chipmaker’s share price has surged by almost 450%.

      Search of Nvidia's shares.

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    1. could be considered a Hindu. Jains and Buddhists could be. But Muslims and Christians, as adherents of “non-Indic” religions, could not be part of the Hindu nation unless they renounced their faith.

      Who are Hindu?

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    1. He says the mightiest Blackwell system, known pithily as GB 200 NVL 72, can train a model larger than Chat GPT using about a quarter as much electrical power as the best available processors.

      Saving electricity

    2. Moreover, Nvidia’s larger integrated systems contain around 600,000 components, many of which come from China.

      Risk of China-USA tensions.

    3. Crucially, they will rely on (mostly rented) Nvidia GPU s, further tying customers into the firm’s hardware-software ecosystem.

      Locing users with software-hardware

    4. It believes that many businesses will soon move on from toying with Chat GPT to deploying their own gen AI s.

      Push for bottom-up AI

    5. “accelerated-computing”,

      ||sorina|| It is a new term.

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    1. By contrast, computinghardware has a finite throughput: if one actor is using some computing power, anotheractor cannot use that same computing power at the same time

      ||sorina|| following questons during GDC training, it seems to be relevant answer.

    2. Concentration of the AI Chip Supply Chain

      useful graphics as illustration of development of micro-processors.

    3. The recent advances in Chinese chipmakingcapacity, such as the fabrication of a 7nm chip25for Huawei phones (Liu 2023) haveincreased concerns about the controls accelerating China’s progress towards AI chipsupply chain independence and thus diminishing U.S. capacity to control access tocompute.

      There are two theories: one that China should have kept inderdependent and integrated in global market. second is of export-control which prevailed.

    4. The three keytechnical inputs to producing AI capabilities are data, algorithms, and compute, alsoreferred to as the “AI triad”

      AI triad

    5. First, governance of computecan help increase regulatoryvisibilityinto AI capabilities and use; second, it can steerAI progress by changing theallocationof resources toward safe and beneficial usesof AI; third, it can enhanceenforcementof prohibitions against reckless or maliciousdevelopment or use.

      There area of governance of Ai computing.

    6. Relative to other key inputs to AI (data andalgorithms), AI-relevant compute is a particularly effective point of intervention: it isdetectable,excludable, andquantifiable, and is produced via an extremelyconcentrated supply chain.

      it is easy to detect.

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    1. Project managers will not be going away, but they will need to embrace these changes and take advantage of the new technologies.

      Future roles of project managers.

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    1. Because AI is ignorant of silos, knows no boundaries within the company, has no limits to its reading capacity or attention span, and is immune from internal politics, it can enable strategic intelligence staff — including those working in marketing intelligence, strategy, and strategic management accounting — to breach a company’s internal knowledge walls.

      Ai as tool for overcoming silos.

    2. to real-time inference of otherwise hidden information about a company from publicly disclosed documents such as annual reports, quarterly financials, press releases, statements, and social media posts.

      How to identify 'hidden infomration'

    3. “Is there any statement of strategic relevance for the company XYZ in the following paragraph?

      Prompt

    4. to Uncover Hidden Information

      how to uncover hidden information.

    5. AI can become the watchful eye that spots useful insights in the field of competitive intelligence.

      Termi is 'competitive intelligence'.

    6. growing problem of information overload regarding markets and competitors,

      AI can help finding relevant information in a lot of information.

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    1. AI is great at identifying patterns and providing predictions for well-formulated problems, but it fails to practice emotional intelligence and exercise moral or ethical judgment.

      What is AI good at?

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    1. to balance privacy with security, trust with safety, helpfulness with respect for others’ autonomy, and, of course, values with short-term financial metrics.

      Trade-offs

    2. Norbert Wiener, the father of cybernetics, proposed a similar idea in a seminal 1960 Science article, launching an entire academic discipline focused on ensuring that automated tools incorporate the values of their creators.

      Start of AI and ethics

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    1. Overanalyzing

      How to do overanalysing?

    2. Rumination is best described as a mental loop where you dwell on past events, particularly negative or distressing ones.

      Wht is rumintion?

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    1. Teams in the experimental groups could use ChatGPT during both ideation phases, and they were encouraged to train the tool on the problem by inputting material from the information sheets.

      How to generate ideas?

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    1. The snail’s pace of research and publishing is badly suited to Silicon Valley’s speed.

      It is also about books and writing.

    2. is both an insider and an outsider.

      Like Diplo with diplomacy.

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    1. Qatar and the UAE increased

      Increase of diplomatic missions.

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    1. Western diplomacy must seek to counter Russian disinformation across the global south.

      ||VladaR|| Most of EU projects on digital/tech will be along these lines. It will be tricky time to preserve neutrality.

    2. If the West tried to use secondary sanctions to force the world to comply, it would backfire, leading some countries to abandon the American-led financial system.

      Risk of sanctoins

    3. Russia’s economy has been re-engineered. Oil exports bypass sanctions and are shipped to the global south. Western brands from bmw to h&m have been replaced with Chinese and local substitutes. In textbooks and the media a seductive narrative of nationalism and Russian victimhood is promulgated.

      Russia's survival formula

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    1. Christopher Myers of Johns Hopkins University is a fan of informal storytelling as a way of passing on tacit knowledge.

      The best way to pass tacit knowledge

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    1. Startups and corporations are already designing software to make it easy to switch between Open AI ’s current top model, GPT -4, and alternatives.

      Important to be ready to switch between different platforms.

    2. In January America’s Federal Trade Commission launched an antitrust probe into Open AI ’s deal with Microsoft. Regulators in Britain and the EU are considering similar moves.

      First anti-trust moves agains OpenAI

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    1. If the probability distribution of the words is flat, ie many words have similar likelihoods of being chosen, this means that there is less certainty as to which is most likely.

      ||Jovan|| What is this about?

    2. One solution is retrieval augmented generation ( RAG ), which splits the job of the AI model into two parts: retrieval and generation

      ||Jovan|| Good description of RAG

    3. This is a later stage of training in which the model’s weights, which encode statistical relationships between the words and phrases in the training data, are updated for a specific task

      Important of weights.

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