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Technology Year 2024: A Critical Look at AI, Crypto, and More
0:00:17 Introduction: Ali Hacklif and Michael Seemann (MS Pro) discuss the technology year of 2024, expecting a mix of optimism from Ali and criticism from MS Pro.
0:02:15 Ali's Optimism & Assange: Ali expresses technology optimism due to enjoyment from listening to MS Pro's technology thoughts. Highlighted the release of Julian Assange as a positive event despite the circumstances and his personal feelings towards Assange.
0:03:34 Assange's Case as a Misjudgment: Ali reflects on how his sympathy for Assange changed through the years. He believes Assange's persecution was a misjudgment of power, and that the focus should be on the injustice and power structures exposed.
0:07:29 Whistleblower Challenges: MS Pro highlights the difficulties whistleblowers face, referencing issues with Boeing, OpenAI, and NDAs (non-disclosure agreements)
0:08:25 Concerns Regarding OpenAI: Expressed concern about Open AI's atmosphere with psychological war and its absurd NDAs; believe they don't have a proper AGI, instead, its tricks to generate an output.
0:09:05 AI Model Iteration Issues: AI models are facing iteration problems with a focus now on cost reduction, and everyone is catching up to GPT4 level.
0:10:57 Google engineer memo: A Google engineer's memo states that they have "no moat" in AI due to open-source models. NVIDIA is the only one making real money by selling the "shovels" (hardware).
0:11:25 Failed Reinforcement Learning Approach: Q-star, a model using reinforcement learning, has not been very successful. They wanted to take a model that criticizes the model, but the results were poor.
0:12:27 Limitations of AI: AI struggles with non-answerable questions and providing reliable solutions to complex tasks. The 1 model was disappointing.
0:13:15 Bavaria GPT and "Stupid" AI Training: Highlighted an example where Bavaria and Lower Saxony are using teachers to answer student questions, and then use that data to train an AI.
0:14:40 O3 Model: They discuss the O3 model but emphasize that nobody truly knows anything about it.
0:14:56 Benchmarking Concerns: The O3 model's performance was tested using expensive benchmarks, but Ali speculates the results might be fake.
0:15:51 Ark Benchmark: Discussed the Ark benchmark created by franois Cholet, which is focused on abstract pattern matching and where AI models have shown minimal improvement, but the O3 model is at 70%, which is a huge leap.
0:16:40 Conspiracy theory: It is speculated that they're using mechanical Turks to get such amazing results on the ARK benchmark.
0:17:53 "Chess Turk" Example: Referencing a historical chess machine with a hidden person inside, likening the situation to today's technology and human intervention
0:19:45 Data Center Energy Issues: Google has abandoned its environmental goals and is now building pipelines to bring methane directly to data centers due to high energy use.
0:20:46 Data Center Location & Methane Pipelines: AI data centers are built where energy is available, not where it is sustainable.
0:21:31 AI in Military and Surveillance: AI is increasingly used in military facilities and mass surveillance systems.
0:23:29 Facebook's Content Reduction: Concerns are raised about Facebook reducing political content, effectively deciding what is political.
0:24:40 Snow Crash and the Metaverse: Discussion about the dystopian elements of the metaverse and technology taking over.
0:25:10 Elon Musk and Trump: There is a theory that if Elon Musk and Trump fight, then the former will lose his libertarian stance and government will take over private companies.
0:25:18 Crypto and Nvidia: Nvidia benefits from both AI and crypto, and Bitcoin has surged, with crypto influencers having a big presence in the election campaigns.
0:26:30 Bitcoin Reflections: MS Pro recalls a blog post from 2011 predicting Bitcoin wouldn't work as money but a "money vacuum cleaner."
0:27:50 Hypothetical Crypto Scenario: Discuss the impact on their life trajectory, had they invested in bitcoin in the past.
0:28:52 The Impact of Investment: The belief is that becoming heavily invested in crypto results in the person adopting and repeating its narrative, therefore, changing who they are.
0:30:00 Frank Telen and the 10x DNA Fund: Frank Telen's investment fund was criticized for its misleading marketing and investments in ventures with questionable financial success.
0:31:09 Flying Taxi Critiques: Flying taxis are deemed not viable and a "first-class" solution rather than a solution for the majority, as it doesn't solve the traffic problems.
0:31:40 New Technology for the Rich: New technology is primarily targeted at the wealthy, creating a new social layer and ignoring existing infrastructure issues, leading to more resources and dangers
0:32:52 Carola Bridge in Dresden: The Carola Bridge serves as an example of failing infrastructure, with satellite images showing weakening supports. This is being contrasted to the technology of the flying taxi.
0:35:04 Moon Landing Postponement: Discussion of the postponed Artemis mission with concerns about its purpose beyond a PR stunt, with a low-budget coloring book released for attention.
0:36:30 Narcissism and the Moon Landing: The manned moon mission is seen as a form of narcissistic self-reflection, with no real practical reason to return.
0:37:06 Decline of the West: The "decline of the West" is seen in their reliance on symbolism and the constant self-reflection and how this makes the west self-referential.
0:37:19 AI's Self-Consumption and "Chat BSE": The term "Chat BSE" is used to describe how AI will feed itself with AI, which could lead to an AI "mad cow" disease.
0:37:58 Harald Lesch and AI Images: Criticized Harald Lesch for using AI-generated images instead of real storm images, which sends the wrong message about climate action and his naivety towards AI.
0:38:48 Climate Movement Criticism: The climate movement is failing because people have enough information about it and instead of blaming individuals, action is needed on a systemic level.
0:40:00 Conspiracy theory: Nvidia benefits from both AI and Crypto.
0:40:54 Hal's Naivete towards Technology: Hal's opinion of crypto and technology is naive.
0:41:10 Joscha Bach Interview: Ali describes the encounter with Joscha Bach and his recurring concepts, referencing previous discussions.
0:41:39 Technology and the Limits of Understanding: They discuss the limitations of the transformer approach and the focus of technological optimism
0:42:19 The Wanka Experience: The Wanka experience was described as a "sad" experience.
0:42:44 Halloween Parade: Example of a failed parade announcement by AI
0:43:25 Blätterhöhle: An example of the failing of the AI's ability to recognize information, with false information provided by Chat GPT, while the real experience at the location is lacking.
0:44:10 Overuse of AI in Academia: Universities are overly integrating AI into curricula to appear relevant.
0:44:58 Technology Optimism vs. Pessimism: The tech optimism vs. pessimism is no longer a balanced debate, with the former having "won."
0:47:30 Unconditional Acceptance of Technology: What was once optimism towards technology has become an unconditional acceptance and dependency
0:48:10 The Smearing of Dissent: Those who criticize current technology and its influence are dismissed.
0:48:19 Algorithmic Control: They describe how they believe algorithmically chosen timelines that influence how a person thinks
0:49:59 Data Privacy Concerns: People are too willing to trade privacy for a little help from AI.
0:50:00 The Internet Shift: The internet shifted in 2016, leading to algorithmically-driven feeds rather than a community, pushing users into bubbles
0:51:15 Platform Book: MS Pro reflects on how his platform book underestimated the speed at which algorithms would control social media.
0:51:35 Loss of User Agency: Users have lost agency in content choice, now relying on algorithms instead of consciously picking content.
0:51:51 Addictive and Controlled Content: The algorithms created to feed users with certain content is addictive.
0:52:45 Censorship Concerns: Facebook censors pro-Arabian content and other forms of communication, illustrating their power in information control.
0:53:11 Overestimation of Individuality: They suggest we overestimate the "individual," being shaped by mass media and now algorithms.
0:53:45 Algorithmic Control: News is stochastically reduced, with algorithms favoring certain narratives and content
0:54:23 Society's Dependency: We are dependent on platforms like Facebook, even if we don't use it, and are being shaped by forces we don't see.
0:55:12 Tiananmen Square: The example of the Tokyo University website's source code illustrates how algorithmic censorship is not only in China but in "our" societies
0:55:30 Algorithmic Control is Subtle: Our algorithms are more subtle than in China where their forbidden topics are obvious, unlike here where you can't see what is favored and not favored.
0:56:15 Tiktok and Racism: A video discussing racism was flagged as racist, showing the limitations of algorithms
0:56:35 The "Dead Aunt" Drink Analogy: TikTok found the discussion of the "dead aunt" drink to be racist, when it was meant to be a replacement name for "Lumumba".
0:57:48 Nazi Drug Discussion: The difficulty of discussing sensitive topics such as Nazism and drugs on social media platforms.
0:58:23 Doublethink and Algorithm Avoidance: The discussion illustrates how people are changing their language to avoid algorithmic censorship
0:58:48 Algorithmic Favoritism: Algorithms are creating their own practices and content that are made to favor a specific demographic.
0:59:24 Mr. Beast as an Algorithm: Mr. Beast, as an influencer, exemplifies the algorithms that dictate content creation and has created his show specifically for them.
1:00:06 Algorithmic Media Practice: They discuss how the algorithms do not create the world, rather, they create a media practice that, in turn, shapes our culture.
1:00:30 Millennial Platform Misconception: Tiktok's algorithm is not primarily used by millennials and instead has a bi-modal demographic of old and young, with a statistical average that places it in the millennial generation.
1:01:23 Generational Exclusion: There is a feeling of cultural exclusion, with them feeling like they are in a boomer mindset in regard to TikTok.
1:01:48 Joscha Bach Encounter: Ali describes a strange but pleasant encounter with Joscha Bach in a teahouse, noting the influence of his work
1:03:37 Joscha Bach Recurring Concepts: MS Pro notes that Joscha Bach repeats core concepts, though his views on AI are valuable and insightful.
1:03:50 Joscha Bach and the Limits of "Mind": He presents his core insight as that humans think of intelligence as levels of consciousness, all within the individual, while Joscha sees it as part of a network of connected thoughts.
1:06:27 Understanding through Relationships: They discussed how the mind is not inside individuals, rather, the mind is a loop, as Satra stated, between people as they react to each other. The individual should not be the focus, rather, the focus should be on the relationship
1:07:05 Joscha Bach and the Spirit: Joscha Bach's view on "spirit" as a collective that individuals participate in, which is separate from the "agent becoming."
1:07:56 Mind and Cloud Software: Humans are more like "thin clients" connected to a "cloud" that is composed of society, language, and communication, with each individual just downloading cloud software.
1:08:15 Language as a Loop: Discuss how we use language to find common words for things we experience, creating a feedback loop.
1:08:40 Satre and the Mind: The view that we can only comprehend and understand ourselves by watching other people
1:10:07 Epstein Ties: MS Pro mentioned that Joscha was funded by the Epstein research foundation, which they discussed in a previous podcast.
1:10:47 Reevaluation of Criticism: They reconsidered and concluded that Joscha Bach's connection to the Epstein fund is not a valid point of criticism.
1:11:05 Marvin Minski: Joscha Bach was directly promoted and mentored by Marvin Minski, creating a clear link to the research project, while many researchers have received funding indirectly.
1:12:26 Joscha's Value: Despite all the criticism and connections to Epstein, Joscha's philosophical questions and research around the mind are important to the public discourse.