AI Latent Manifestation
Updated: Jul 31
Our Weekly Trend Monitoring Radar this Wednesday will focus on the topic of "AI Latent Manifestation," as we have achieved unprecedented results in two recent hackathon events. This achievement can be attributed to the utilization of Google's PaLM2 AI engine. Notably, the results obtained from the PulsarWave on both AWS and GCP platforms exhibit certain structural differences, similar to the findings from the previous week. To address this, we plan to optimize the standardized procedures by implementing a RESTful API and fine-tuning the prompt engineering, starting next week. During our discussion, we will delve into the details of our experiments and present a novel framework for "AI Latent Manifestation."
Section I: Trend Monitoring Radar Report
In this section, we will present the raw weekly PESTLE reports from both the AWS and GCP platforms, along with the corresponding PulsarWave radars from each platform. It's important to note that we won't be refining the final report at this stage; instead, we will keep it as is for future reference. Our primary focus in the next section will be on the experiments conducted during the two hackathon events, which have led us to develop a novel framework called "AI Latent Manifestation" in the subsequent section.
[1.1 Weekly Metageopolitical PESTLE (GCP E2)]
The political landscape continues to be shaped by geopolitical power plays, governance decisions, and numerous conflicts in key regions worldwide. A headlining news article discusses the potential joining of Sweden to NATO, signaling major shifts in regional and global alliances, as analyzed through Offensive Realism. Meanwhile, ongoing tensions and political developments in Iran, Ukraine, and Taiwan have dominated the headlines, with power dynamics under the metageopolitical framework showing signs of significant shifts.
On the economic front, several significant developments have emerged. Notably, the ongoing debate on inflation in India and deflation in China have heightened concerns around global financial stability. The global semiconductor conflict has also highlighted the critical role of economic power in geopolitics. Moreover, the menace of the artificial intelligence-monopoly in global industries alludes to the important influence of economic powerhouses in delineating global economic policies.
In sociocultural aspects, a marked emphasis is observed in the realm of inclusivity and representation, as seen with the rise of female state leaders and the destigmatization of Transness. Moreover, the prominence of cultural factors in shaping geopolitical outcomes is illustrated in the article on Apple's ubiquitous culture.
The integration and advancement of AI in different sectors, such as gaming and military, continues to profoundly influence the geopolitical landscape. Moreover, the news on the hacking of a crucial software company and the AI-driven design of automated cars underlines the interplay of technological trends with geopolitics.
Significant legal developments have surfaced, including the lifting of a ban on certain chemicals and various high-profile rulings. Moreover, a much-discussed topic was the cannabis legislation in Montana, a step that may influence similar policies on a global scale under the constructivist geopolitical theory.
Environmental issues continue to be a global priority, with significant reports on the impact of climate change, cyclones, and the tremendous global pollution issue resulting from car tires and rubber. A broader metageopolitical analysis underscores the substantial influence of environmental factors in shaping local and global policies and decisions.
In conclusion, this week's geopolitical landscape, analyzed under the metageopolitical framework, lays out an intricate interplay of hard power, economic power, and noopolitik elements influencing the actions and motivations of state and non-state actors. The understanding of these dynamics and their implications is critical for strategic decision-making for organizations operating in today's global context.
[1.2 Weekly Metageopolitical PESTLE (AWS EC2)]
PESTLE Weekly Scan
In an unsettling development, hacker infiltration of critical systems continues to pose a significant threat to national security infrastructure around the world. Nations must consider hard power dynamics and noopolitik measures in response. Meanwhile, the role of state actors, often as responsible parties, is becoming more prominent in this digital battleground.
Tensions are flaring over economic power dynamics as the US Treasury begins a probe into Trump's financial dealings while simultaneously taking a Beijing trip. The impact on the USD and international monetary reverberations merit close observation.
The sociocultural front was marked by increased social unrest, with mass riots over police violence contributing to a volatile landscape. These events underscore the need for benevolent power to assuage public anger and restore societal order.
The week saw significant advancements in AI and global internet companies like Apple and Meta engaging in new services and intense competition, indicative of the increasing influence of digital platforms on both micro and macro levels.
Legally, there were high-profile decisions emanating from Venezuela and the US, with a particular focus on healthcare policy changes by the Biden administration. These decisions often have ripple effects beyond domestic realms and can affect international relations and market dynamics.
Environmentally, the week was dominated by a stark warning on climate change and a focus on finding sustainable solutions such as the offshore wind project. Legal and regulatory changes facilitating the growth of green projects were also noted.
Overall, this week has seen major strides in each PESTLE category. However, it is crucial to view these events through the lens of metageopolitical analysis for a comprehensive understanding of their impacts and implications.
Section II: Experimental Results at Two Hackathon Events
We participated in two hackathon events with two primary objectives. Firstly, we aimed to utilize these events as an intensive training program to accelerate the development of our PulsarWave project, which serves as the fundamental tool for our weekly trend monitoring radar report. Secondly, we intended to update our knowledge in the rapidly evolving field of global industrial AI development.
The first hackathon we joined was the Pinecone Hackathon: Jumpstart Real-World AI Applications, which took place from June 19 to 26, 2023. This hackathon, with 1,420 participants, utilized the hackathon infrastructure provided by devpost. Its focus was on promoting the utilization of the Pinecone vector database and its affiliated partners, such as OpenAI and AWS.
The second hackathon, the Google Cloud Vertex AI Hackathon, ran from Friday, July 7 to 10, 2023, and had 4,653 participants, utilized the hackathon infrastructure provided by Lablab.ai. This event encompassed all the tools and resources offered by Google AI Vertex.
The full PulsarWave diagram flow (as developed during the Pinecone hackathon)
During the Pinecone hackathon, we recognized the importance of utilizing its partner platforms to maximize our scoring. As a result, we made the decision to streamline the ongoing PulsarWave project, aiming for full automation across all mechanisms. Additionally, we successfully performed git cloning and deployed the additional PulsarWave system from the original prototype at GCP to AWS.
In order to enhance the "knowledge" of GPT-4 and enable it to conduct analyses beyond its cut-off date of October 2021, we successfully deployed the Pinecone vector database. This allowed us to analyze events such as the full-scale invasion of Russia into Ukraine, starting from February 2022. The results of this experiment were documented on our Medium platform (in Thai language) and proved to be highly successful.
Our latest development of the frontend of PulsarWave system (as developed during the Google Vertex hackathon)
During the Google Vertex hackathon, as the focus was on promoting Google's platform, we reverted back to our original prototype at GCP. In this context, we made the decision to develop a new frontend using Streamlit. Our newly developed PulsarWave frontend has proven to be highly effective. It is fully equipped with only Google's PaLM 2 API, which is currently preserved for Google Cloud Trusted Tester Program.
The frontend showcases various features, including displaying a weekly PESTLE report, providing snapshots of trend scans updated every 6 hours, offering text-to-speech summarization of the trend scan snapshots, and even featuring a PaLM 2 chatbot in a question-and-answer format.
During the Google Vertex hackathon, despite not having the Pinecone vector database like we did during the Pinecone hackathon with GPT-4, PaLM 2 demonstrated the ability to accurately identify news items related to Microsoft's takeover, "The FTC is likely to appeal a federal judge's decision that rejected the agency's attempt to prevent Microsoft's $69 billion acquisition of Activision Blizzard." This accuracy was evident in both the "Trend Scan" and "Talk!" snapshots when the corresponding buttons were pressed. Furthermore, we conducted direct queries with the PaLM 2 assistant chatbot, and it correctly provided detailed information. These successful outcomes have prompted us to draft a paper on "AI Latent Manifestation" in the next section.
In detected twitter, there is no reference to any details about Activision Blizzard in twitter caption and we didn't retrieve any information from the related webiste as we implement web scraping as it being allowed.
However, in the further inquiry, PulsarWave assistant powered by PaLM 2 can elaborate details of the news correctly, it can even draw the mind map regarding the related actors.
In ChatGPT, it can't retrieve the details of the news due to knowledge cut-off in October 2021, please refer to our shared prompt here.
Rather than attributing the delay in the development of OpenAI's GPT-5 or Google's reluctance to rush the release of their largest model, the 'unicorn' of PaLM 2, to the saturation or diminishing returns from increasing infrastructural costs such as GPUs/TPUs or memory bandwidth as seen from this article in SemiAnalysis, we propose an alternative perspective. This perspective revolves around the concept of AI latent manifestation, which is elaborated upon in the following section. (Figure from SemiAnalysis)
Please note that during the last two weeks the Co-founder and CEO of Google's DeepMind, Demis Hassabis, has announced plans to release a novel model, 'Gemini'. This model is set to encapsulate the renowned 'AlphaGo' within its Large Language Model (LLM), with the aim to 'eclipse' OpenAI's ChatGPT.
Section III: The AI Latent Manifestation
Unraveling the P versus NP problem has been one of the most persistent pursuits in the field of computer science. In its simplest form, this conundrum questions whether every problem for which a solution can be verified quickly (NP problems) can also have that solution found just as swiftly (P problems). The enigma has profound implications for cryptography, optimization, and a host of other areas integral to technology and our digital lives.
This paper offers a fresh perspective on this enduring question. Building upon traditional understandings, we introduce a reframed equation that incorporates the escalating capabilities of computational power and the burgeoning field of Artificial Intelligence (AI), specifically focusing on the phenomenon we term as 'AI Latent Manifestation'. Moreover, we delve into the implications of quantum computing and explore current industry trends that bear upon these issues. This paper aims to illuminate the intricate web of variables that contribute to problem-solving efficiency in the era of rapid technological progress, offering a comprehensive view of how the boundaries between P and NP problems may evolve.
We have successfully deployed our Trend Monitoring Radar (TMR) on the Wednesday section. We deployed a Python script to scan weekly news and asked AI to prioritize and categorize it. Additionally, we instructed AI to generate a weekly summary report based on the scanning data in a reporting style for the executive director of the Geopolitical Analysis department. The report is far from perfect, so please do not share the contents publicly. We will strive to make the entire process 100% automated and find ways to improve relevance, consistency, and accuracy in the future. our TMR is inspired by opensource.zalando.com/tech-radar/.
Geopolitics.Asia will provide serious policy analysis on Mondays, trend monitoring on weekdays, and cultural and lifestyle issues on weekends. Please note that our weekday situation monitoring will not include a trend radar or scenario analysis for the time being, as we work to fully automate these processes with AI. You can, however, access to our previous experiments on trend radar and scenario planning generated by the AI, 1) Simple scenario planning at Jan 26, 2023, 2) Double iteration scenario planning technique at February 2, 2023, 3) Triple iteration scenario planning techniqueat February 9, 2023, and 4) Hyperdimensional scenario planning technique at February 17, 2023.
Stay tuned for updates on this exciting development!