Summary of Clean As a Whistle - AI scientist statement, Nvidia Spectrum-X, Amazon's kill list, Mirai botnet

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00:00:00 - 01:00:00

The hosts of This Week in Google discuss a statement from a group of AI scientists calling for the mitigation of risks associated with AI and the controversy surrounding it. They debate whether AI is really as significant of a threat as some believe, noting that the biggest danger is the potential for AI-driven disinformation and misinformation. The conversation also touches on the impact of emerging technologies on society, the limitations of building machines that can think like humans, and the role of AI and humans in the workforce. Additionally, the discussion delves into the evolution of AI chips and the rise of specialized GPUs and the challenges of parallel processing.

00:00:00 In this section, the hosts of This Week in Google discuss a recent statement from a group of AI scientists and important people about avoiding a mass extinction event caused by AI. The statement is controversial and only 22 words long, and it was signed by a number of big names, including Jeffrey Hinton from Google and Martin Hellman from Stanford. The hosts debate the meaning of the statement and its implications, with some suggesting that global warming is the next extinction-level event and not AI. They also discuss other tech news, including Amazon discontinuing certain features and Nvidia's chips.
00:05:00 In this section of the video, the hosts discuss a statement signed by various high-profile figures in the tech industry calling for the mitigation of risks associated with AI, and whether the statement is an overstatement of AI's potential impact. While some feel that the statement promotes the notion that AI is more significant than it actually is, others see it as an attempt to ensure regulatory capture. Ultimately, the hosts agree that AI is not necessarily a threat to humanity's existence and that the biggest threat is the potential for AI-driven disinformation and misinformation, which is already a problem that needs to be addressed.
00:10:00 In this section, the speakers discuss the potential risks posed by the weaponization of social media and the impact it could have on our elections process. They suggest that the proliferation of non-truths and misinformation on social media could lead to more people with weapons during elections who may disrupt processes. While Stacey believes educating the electorate to practice critical thinking may be a solution, the speakers acknowledge that this has not worked in the past. They conclude that AI scientists need to work with government officials to regulate AI and how these technologies propagate to mitigate potential dangers posed by these technologies.
00:15:00 In this section, the video discusses the concern and potential risks associated with AI and regulation. The AI scientists have made a statement about AI's danger and the need for regulation, but some people are skeptical about it, accusing existing AI firms of pushing regulations to make it difficult for future entrants. The video also explores the possibility of Congress issuing a total ban on AI or imposing very tight regulations that could cripple even existing companies. Furthermore, the conversation touches on the weaknesses people have with information they see and trust, and AI's potential to cause societal unrest through job displacement and income inequality. Despite AI's potential to create new jobs, there is also a lack of people being trained for such jobs.
00:20:00 In this section, the conversation shifts to the impact of emerging technologies on society. The participants note that new technologies always have a massive impact, causing job losses and changes in the economy. However, while we don't want stasis, we must be careful and fully understand the effects of these technologies. The discussion then turns to the historical context of moral panic surrounding new technologies, where the speakers cite various examples throughout history, such as the bicycle or elevators, that faced similar concerns. While there is a kernel of truth in these concerns, the present tense issues around privacy and security must not be overlooked.
00:25:00 In this section, the speakers discuss the issue of disinformation and the lack of common sense in mainstream media in relation to climate change and AI. They highlight the urgency of addressing the climate apocalypse that is looming and outline that despite the risks of AI, it is not the key issue at present that many media outlets are portraying. They also express concern over the click-bait approach of mainstream media in their framing of issues such as AI and climate change, which can worsen the spread of disinformation. They conclude that people need to be aware of the limitations of AI and not confuse performance with competence.
00:30:00 In this section, the discussion revolves around the difference between a rapid calculator and the human brain. The AI scientist asserts that computers, including AI, are not thinking but are only performing calculations at an incredible rate. The conversation questions whether humans are special in terms of their rate of calculation or if it is something else. Philosophically and scientifically, there is uncertainty in the difference between humans and animals, and there may be something hard for a Von Neumann machine to do. However, while humans have some unique traits, the discussion concludes that we may not be more special than any other things.
00:35:00 In this section, the speakers discuss the limitations of trying to build machines that can think like humans. They argue that the mistake is trying to take the Von Neumann machine, which is sequential, whereas the brain works much more in parallel. While they recognize that machines can deal with exact information and make intuitive leaps based on probabilistic assumptions, they believe that they are not very good when used independently of human thinking. Instead, AI should be seen as augmenting human abilities. Speakers also explain that AI is essentially pattern matching, with an amalgam of data from human biases and presumptions. While AI has some value, it does not match human intuition and creativity.
00:40:00 In this section, the speakers discuss the role of AI and humans in the workforce, noting that AI should always be done in the context of a human as an assistant rather than a replacement. They believe that there will always need to be a human to take the output of the AI and massage it or use it to fit with the standard. The conversation also turns to the scalability of AI and the expense of the technology, noting that small open source models may be more cost-effective in the future. While the podcast highlights the need for human input in AI, it also acknowledges that AI is becoming more prevalent in the workforce and could potentially lead to job loss in some areas.
00:45:00 In this section, the transcript moves to an advertisement for CDW's HPE Green Lake Edge to Cloud platform, which helps organizations consolidate and manage all their data in one unified experience. The platform allows for greater flexibility and business growth through its as-a-service model that meets the needs of remote workforces on the edge. Additionally, it streamlines management with automated processes and creates a seamless cloud experience among multiple data environments. The transcript then moves to a discussion about graphic chips and their use in AI, specifically NVIDIA's graphic chips being used for parallel processing, which is critical in computer vision and other AI applications. The discussion explores whether AI systems developed from scratch would resemble graphic chips or if it was just good timing that these chips happened to have other uses in AI. The difference between GPUs and NPUs is also discussed.
00:50:00 In this section, the conversation revolves around the evolution of AI chips, including GPUs and the new processors that work more efficiently with parallel processing. The discussion delves into the difference between on-chip and off-chip memory as well as the development of algorithms optimized for better matrix multiplication. The conversation takes a closer look at Nvidia's cover story and how they enable AI evolution, which made them one of the only contenders since their graphics option was better than what Intel offered. Finally, the conversation centers on how the first graphics processors were glorified multi-processor machines and how Nvidia incorporated various technologies to create massively parallel processors for specific kinds of processing.
00:55:00 In this section, the speakers discuss the rise of specialized GPUs, such as NPEUs, TPUs, and VPUs, that have been designed to carry out the specific calculations used in machine learning. They also delve into the challenges of parallel processing and moving data around, which has led to the emergence of fabrics or communication networks within chips. Additionally, they talk about the rise of chiplets and system-on-a-chip, and how Google's Tensor fits in with their own custom-designed neural processor. They explain the concept of a neural network and how it involves highly interconnected grids and massive parallel processing. Lastly, they touch on the idea of training models on both big and small machines, and the need to figure out the best way to build models that can run on small machines.

01:00:00 - 02:00:00

The latest episode of the podcast features a variety of tech-related topics, including discussions on the democratization of large language models, Nvidia's Spectrum-X, Intel's challenges, the importance of the twit.tv community, the vulnerability of computers, Google's messaging service, and YouTube shorts. Additionally, the hosts talk about the Mirai botnet attack and the recent Supreme Court decision regarding Section 230, as well as Amazon's various projects during Jeff Bezos' tenure. The episode also includes an invitation to join the club twit and support their ad-supported network.

01:00:00 In this section, AI scientists discuss running machine learning on smaller and smaller machines, even on sensors, and how it could democratize large language models. Facebook's Yama and Lamp Llama are opening the way to this space and allowing small developers to work in this area. The power must be taken away from big tech companies like Google, Microsoft, Facebook, Apple, and Amazon, and given to the open-source community to innovate more dynamically and inclusively in the AI landscape. There is no moat around the big guys, and smaller models mean smaller data sets, making it more manageable to audit their processes.
01:05:00 In this section, the conversation turns to the story of George Hotz, who created an open source self-driving car system that uses smartphones to unlock autonomy. The system is reportedly at least as good as Tesla's full self-driving technology. Hotz, who has a reputation as an iPhone hacker and an antagonist to Elon Musk, started Comma AI, but has since left to start a new company called the Tiny Corporation. The conversation also touches on Nvidia's Spectrum X ethernet switch, which offers lossless transmission and uses a new congestion control technology. The switch has 100 billion transistors on a 90 millimeter square die and is aimed at networking operations and supercomputers requiring large amounts of process power.
01:10:00 In this section, Leo Laporte discusses Nvidia's new Spectrum-X, a super computer platform that put the company's sales forecast for the current quarter at about four billion dollars, which is above estimated sales. Nvidia has pivoted into the AI side of things, and Amazon may be looking to create an AI data center of their own. Lisa Sue is mentioned as a smart and sharp person who should not be messed with, and Laporte also touches on how AMD's chips could potentially be used in AI. Nvidia Ace, an AI system for non-player characters in gaming, is also announced.
01:15:00 In this section, the speakers discuss Intel's struggles to keep up with rival companies like Nvidia and its efforts to reverse the company's fortunes under new CEO Pat Gelsinger. They highlight the challenges that Intel faces as demand for their chips decreases due to falling PC sales and the increasing demand for chips for AI and crypto applications. Gelsinger's growth plan is focused on expanding the company's factories and turning Intel into a service business. They also mention the leadership issues that have plagued Intel in recent years and the difficulty the company faces in keeping up with the rapid pace of innovation in the tech industry.
01:20:00 In this section, Leo Laporte, the host of the podcast, invites the audience to join the club twit, explaining that it's a great deal priced at a dollar. The first benefit of the club is that it offers completely ad-free shows, which is a great feature. Additionally, club members get exclusive access to the Discord, where they can communicate with others in the community. Leo also mentions that they offer special content only for club members and that the club's revenue goes towards developing new shows and keeping the lights on. He encourages people to join the club and support their ad-supported network, which offers free shows.
01:25:00 In this section, Leo Laporte discusses the importance of technology and how TWiT provides an important resource for viewers to stay informed about what's happening in the tech industry. He also unveils a new tagline and asks for audience support to keep doing what they're doing and continue providing an informed and even-handed job through its experts. Additionally, there is a discussion about the importance of the twit.tv community and the value it adds to the show and the overall experience. Finally, Leo highlights a new book called "Fancy bear goes fishing, the dark history of the information age, in five extraordinary hacks" and the story of the first worm, the Morris worm, and its co-founder Robert Tappan Morris Jr.
01:30:00 In this section, it was reported that a student at Rutgers unleashed the Mirai botnet attack with about 40,000 bots throughout Eastern Europe and China. However, the botnet was caught since a superior DDOS protection company wasn't in place, and the student pleaded guilty to the violation of the computer front Abuse Act, with no jail time, but five years of probation and 2500 hours of community service. Interestingly, he helped law enforcement and research as part of his community service, contributing to more than a dozen law enforcement and research efforts and helped prevent DDOS attacks aimed at disrupting Christmas holiday shopping.
01:35:00 In this section, the discussion centers around the idea that no computer can ever be completely secure, according to an interview in Ars Technica with an AI scientist regarding his book, "Click Here to Kill Everybody." The scientist explains that all computers are Turing machines, and that any Turing complete device will always be subject to hacking, whether it be electronic or social engineering. The book challenges the idea of "solutionism," which is the belief that technology can solve all problems. While cybersecurity firms promise to keep data safe, the book emphasizes that the reality is that every company will eventually get hacked, and the important thing is to find strategies for mitigating the damage.
01:40:00 In this section, the hosts briefly discuss a tool called "low orbit ion cannon," which is an open-source network stress-testing and DDOS application. They also mention Google's AI-enabled search feature, SGE, which is available for preview. Additionally, they talk about the integration of third-party notes and lists in Google Assistant, which is now limited to Google Keep and Tasks and the rolling out of Magic Compose beta, which is only available in English on Android phones with US SIM cards.
01:45:00 In this section, the video discusses a new feature for Google's messaging service that suggests possible responses and customizes messages in a more human-like way, as well as Chromecast's phase-out, NFL streaming license rules, and the end of YouTube stories. The new messaging feature includes autocomplete-style suggestions that are more advanced and related to the conversation's context, which can also be customized with different message styles. Meanwhile, Google is ending support for the original Chromecast, which has been in use for more than 10 years, and NFL Sunday Ticket provides unlimited simultaneous streams in one geographic location. Lastly, YouTube stories are ending, being replaced by Shorts.
01:50:00 In this section, the video discusses YouTube's attempt to take on TikTok with their own short-form video feature called YouTube Shorts. The feature was initially clunky and difficult to use, but has since improved and may be poised to replace TikTok if it is banned. The video also points out that YouTube Shorts resembles TikTok very closely, from its vertical videos to its scrolling interface. However, the video notes that YouTube Shorts has yet to catch up to TikTok in terms of user engagement and cultural relevance.
01:55:00 In this section, the transcript discusses the recent decision by the Supreme Court to decline a case brought against Reddit by a victim of sex trafficking who sought to hold the site responsible for hosting images of child pornography. The court's decision suggests that any changes to Section 230, which provides immunity for tech companies, should be left to Congress. The discussion then shifts to a list of 37 projects created by Amazon during Jeff Bezos' tenure, including the Alexa voice integration and celebrity voice options. The Amazon Four Star store, which sold highly-rated products on Amazon, is also mentioned, along with the Amazon Books physical bookstore.

02:00:00 - 02:35:00

Leo Laporte and Jeff Jarvis discuss the challenges faced by researchers in analyzing social media data due to social media companies like Twitter and Facebook charging high fees or stopping the provision of data. The Black Twitter Summit participants have moved to Twitter's Blue Sky, but they have been facing issues related to moderation and harassment. The hosts talk about Mastodon as an alternative to centralized solutions and the importance of finding good conversationalists to follow on microblogging platforms to avoid boredom. They also discuss the future of Twitter, and the possibility of its resuscitation with a benign corporate overlord. Lastly, they touch upon the importance of getting proper checkups at the doctor and not just going for unnecessary procedures that can be life-threatening.

02:00:00 In this section, the YouTubers discuss Amazon's closure of several of its cashierless Amazon Go locations, although they still have 20 more stores and are licensing the technology to Walmart and other companies. The list of Amazon-owned companies mentioned includes Amazon Explorer, which offers virtual tours, and Amazon Flex, a delivery service. The YouTubers also note that while Amazon Go may have closed down some locations, they are still posting articles to DP Review, which was supposed to have been closed down due to the company's strategy shift towards AI. Finally, they discuss Fidelity's estimation of Twitter's worth at $15 billion, and Sonos's victory in its $32.5 million patent infringement case against Google, which centered on the synchronisation of speakers.
02:05:00 In this section, the focus shifts to social media and the challenges faced by researchers in analyzing social media data. Twitter has stopped providing data to researchers, while Facebook charges exorbitant fees to access their data. As a result, academics are finding it difficult to study social media trends. There are complaints that researchers who bought the data are being asked to delete it. Meanwhile, Black Twitter Summit participants have moved to Blue Sky, Twitter's own social network project. However, they are facing issues related to moderation and harassment, to the dismay of people who believed that this network could be a new Black Twitter.
02:10:00 In this section, Leo Laporte and Jeff Jarvis discuss the problem with microblogging platforms and the difficulty in replicating popular platforms such as Twitter or Instagram. They also discuss the limitations of centralized solutions, including those offered by Blue Sky and argue that it's a bad idea. Additionally, they touch on the concept of Mastodon as an alternative and the possibility to create a Mastodon instance that guarantees to be welcoming to people of color or any specific user group. They talk about Federating, which is not yet offered by Blue Sky but is already available in Mastodon allowing for Black Twitter, etc. Finally, the hosts talk about small-talk on microblogging platforms and finding good conversationalists to follow on the platform to avoid boredom.
02:15:00 In this section, the hosts discuss the future of Twitter, which has seen a decline in value and usage due to privacy concerns and other issues. However, while the platform is struggling, there are still many users who have not left and a potential for resuscitation. The hosts suggest that a benign corporate overlord could take over the platform, like Conde Nast did with Reddit, and turn it around. They also discuss Mastodon's new feature, "My Feeds," which allows users to create and subscribe to customized feeds, and the different types of feeds available on their platform.
02:20:00 In this section, the hosts discuss various new social media websites and platforms, including Nostril and Blue Sky. Stacy Higginbotham recommends a book called Poverty by Matthew Desmond, which addresses the systemic poverty in America and the role individuals play in creating it. She also mentions her book idea about why AI and IoT are incompatible with capitalism and could lead to a coercive surveillance state. The hosts then suggest other books, including Red Team Blues by Corey Doctorow, which features a forensic accountant who may be the next James Bond.
02:25:00 In this section, the speaker discusses his new Kindle scribe, which he writes with and is larger in size, making it like reading a book. He plans to compare it to the remarkable 2 and an iPad running Good Note software to weigh up the pros and cons of each and will discuss it on his upcoming show, "Ask The Tech Guys." He says that the remarkable is ideal for reading legal briefs and annotating them, but he prefers the Kindle for annotations and note-taking since he needs to sketch things out during his coding challenges. Lastly, he talks about offloading 1.4 million square feet of Bay Area office space by Google and mentions the experiment of cross-examining AI to solve the problem of facts at AI.
02:30:00 In this section, a conversation between Neil deGrasse Tyson and Stephen A Smith is discussed, where they touch upon science and sports. The group talks about attending events where AI executives are present, and the host reveals that he had recently been snubbed from a Neil deGrasse Tyson event because they wanted somebody who could speak directly to the AI CEOs present. They also touch upon Jeff Jarvis’ book, “The Gutenberg Parenthesis,” and a new podcast recording that delves into building LTE networks on the moon.
02:35:00 In this section, Leo Laporte and his guests discuss the importance of getting proper checkups at the doctor and not just going to the "colonoscopy shop on the corner." They also mention the trend in medicine to avoid overdiagnosis and over-procedure for things like prostate exams and mammograms. It's important to ask your doctor for their professional opinion and be informed about the pros and cons of different tests. In order to avoid unnecessary procedures that can be life-threatening, it's important to trust the guidance of medical professionals when it comes to screening for potential health issues.