Anthropic CEO Says That by Next Year, AI Models Could Be Able to “Replicate and Survive in the Wild”
Scoop: Andreesen Horowitz bags $7.2 billion
Limitless is a new AI tool for your meetings — and an all-hearing wearable gadget
AI Index Report 2024 – Artificial Intelligence Index
Fellow.app | The Most Integrated AI Meeting Notes & Summaries
AI Could Actually Help Rebuild the Middle Class, Says MIT Economist | Amanpour and Company
Technology for Equality. (Of course, it should not starve them for resources or funding either.))
AI supremacy: The artificial intelligence battle between China, USA and Europe | DW Documentary
The mayor of Heidelberg feeds error messages back to the Aleph Alpha AI for recommendations on how to develop a system that does not exhibit them. Jina demos a generative AI that creates a story from an image. (Like hearsay, that hints at moral issues of such examples for memory or motive. In sociology, demos can mean treating a people, or Greek state, as a political entity.)
The promise and peril of AI
Elsewhere on Recursive Analysis: "In the framework we have outlined, risk characterization cannot succeed as an activity added at the end of a risk analysis, but must result from a recursive process that includes problem formulation, analysis, and deliberation. " - Stern, P. C., & Fineberg, H. V. (1996). Understanding Risk: Informing Decisions in a Democratic Society. (How do you derive a problem set for AI?) (Also ran the NAS book through Gemini 1.5 Pro which remarked: "The text focuses on risk characterization and an analytic-deliberative process. The closest term is "recursive process", which refers to a series of tasks and feedbacks that allow for learning by all participants in the risk decision process." That yielded an answer to the question on problem sets which led to another about how it related to risk analysis. These models might eventually be considered as types of participants, although the ethics might differ. And like other areas of tech, they may also introduce potential research impacts. The classic modes of discussions were journals and conferences. Models introduce multimodal decision-making. Also mixtures of experts. Ideally, that can be used to scale up complexity. The social reaction is often unknown, but other types of correlation may now be feasible. Futurists would be looking for how to characterize the odds. How to know relevant regulations and when something will be out of bounds. There is usually going to be another term for a new type of capitalism. Socialists do not seem to want to be on either of the extremes, East or West.)
Unveiling the Power of Juror Questionnaires and AI in Law - Jury Analyst
(In sample transcripts, the voir dire can be en masse in court at the start of proceedings for the case, parties, attorneys, prior claims, and any relatives in professions such as legal, investigative, or enforcement, any prior jury experience specifying which type, any prejudices, any legal activism to change the laws, difficulty in following instructions, whether an extended trial introduces hardships, acquaintance with any of the other jurors, or prior testifimony as a witness. During the trial, juror's may raise questions about evidence, witnesses, events, or procedures. AI trends may introduce alternatives to solely jurists, juries, or arbitration.)
Uh-oh, X's Grok AI can now 'understand' images
Despite xAI's continued investment, Grok has yet to stick with early users and staff — a new report alleges its own developers struggle to use the slow xAI API. That same report, published by Fortune this week, highlighted X employee concerns about Musk suggesting Grok write paid user's posts for them, despite warnings from developers and staff. Last week, Grok came under fire for generating fake news headlines from an alternate reality where Iran had assailed Tel Aviv with a military arsenal — not its first time.
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Ensure Grok remains politically unbiased and provides balanced answers.
Is artificial intelligence the great filter that makes advanced technical civilisations rare in the universe?
(Conversely, substrates are like Fermi. Where are they found?)
Inside China's AI Ecosystem: A View From Beijing
In this episode, we explore the Chinese AI ecosystem with 'L-squared,' an anonymous tech worker based in Beijing. We discuss major players, model quality, public engagement, regulation, and the US 'chip ban.' Discover the similarities and differences between US and Chinese AI landscapes, and gain a nuanced perspective on the current state of AI in China.
How is the G7 Thinking about AI?
G7 discussion begins after 6:30.
Will AI kill us? Or Save us?
Unleash Hidden Powers of Paperpal AI for Unprecedented Academic Writing Success.
AI to Make Originalist Historical Analysis Easier, US Judge Says
“Perhaps judges may rely on AI for assistance—a form of expert opinion if you will,” Bush said. “For instance, one could argue that it would be permissible for a judge to use AI analysis of statistical probability that a word or phrase had a particular sense or meaning in a particular historical period.”
When the War Machine Decides: Algorithms, Secrets, and Accountability in Modern Conflict, with Brianna Rosen
Tune into Dialogues Dispatch, a podcast series about technology and society
US President Biden, Kishida enlist Amazon, Nvidia to fund AI research
Amazon adds AI expert Andrew Ng to board as GenAI race heats up
Symbolica hopes to head off the AI arms race by betting on symbolic models | TechCrunch
In a memo this year, two executives at TSMC, the semiconductor fabricator, said that, if the AI trend continues at its current pace, the industry will need a 1-trillion-transistor chip — a chip containing 10x as many transistors as the average chip today — within a decade.
Symbolica AI
Intel unveils latest AI chip as Nvidia competition heats up
Meta’s Nick Clegg plays down AI’s threat to global democracy
AI for business: multiplying the impact of AI
As businesses adopt AI, a new era of problem-solving, innovation, and creative decision-making can be brought to scale. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the future of AI for business with Kareem Yusuf, senior vice president of product management and growth for IBM software. They discuss the advent of foundation models, how AI can transform data storage and decision-making, and how next-generation AI platforms like watsonx can empower businesses to use AI at scale.
LinkedIn Co-Founder Reid Hoffman on the Future of AI
YouChat GPT-4 Summary:
The video features Reid Hoffman, co-founder of LinkedIn and Inflection AI, discussing various aspects of Artificial Intelligence (AI) and its impact on the digital economy. Here are the main points:
AI and the Digital Economy: Hoffman compares the potential of AI to a cognitive industrial revolution, emphasizing its ability to amplify human capabilities. He also highlights the importance of AI in various sectors, including education and healthcare.
AI Investments and Blitzscaling: Sharing his experiences in investing in AI companies, Hoffman emphasizes the importance of continuous learning, embracing chaos, and being prepared for rapid changes in leadership and organizational structure during periods of explosive growth.
Open Sourcing AI: While acknowledging the benefits of open sourcing for academic and entrepreneurial purposes, Hoffman expresses caution due to the potential for misuse by bad actors. He stresses the need to consider the potential negative impacts.
AI and the Future of Work: Hoffman discusses the potential impact of AI on the future of work. He suggests that while AI may replace certain tasks, it will also create new opportunities and transform existing jobs. He emphasizes the importance of being able to use AI in the future job market.
AI Policy and Regulation: Hoffman discusses the need for effective policy and regulation in the AI sector. He suggests that regulators should focus on defining desired outcomes and creating a learning ecosystem. He also highlights the importance of considering societal impacts when developing AI technologies.
The Three Horizons of AI Policy
In this episode, we discuss a framework for understanding the rapidly changing AI policy landscape (0:53), the first-of-its-kind U.S. and U.K. partnership on AI Safety (8:20), Open AI's Voice Engine system (10:53), OMB's latest AI policy announcement (18:00), and Mexico's new role in AI infrastructure (21:50).
In this episode, we discuss a framework for understanding the rapidly changing AI policy landscape (0:53), the first-of-its-kind U.S. and U.K. partnership on AI Safety (8:20), Open AI's Voice Engine system (10:53), OMB's latest AI policy announcement (18:00), and Mexico's new role in AI infrastructure (21:50).
MIT Robotics - Russ Tedrake - Planning with Graphs of Convex Sets (in the age of foundation models)
Google Gemini summary: According to the video, the lesson learned from the talk is that planning and learning are complementary to each other and both are necessary for robots to achieve intelligence.
The speaker, Russ Tedrake, argues that while foundation models are powerful and will play an important role in the future of robotics, planning is still an important aspect that should not be ignored. He emphasizes that planning can improve the efficiency of learning by guiding the exploration process and focusing on the most promising actions.
The talk also introduces GCS (Graphs of Convex Sets) as a powerful tool for planning in robotics. GCS allows robots to reason about the uncertainties in their environment and make decisions that are robust to these uncertainties.
Here are the key points from the talk:
Planning and learning are complementary: Planning can improve the efficiency of learning by guiding the exploration process. GCS is a powerful tool for planning in robotics: GCS allows robots to reason about uncertainties in their environment. Behavior cloning is a useful tool for robotics: Behavior cloning can be used to learn from human demonstrations. Foundation models are powerful but not a silver bullet: Planning is still important in the age of foundation models.
The complex patchwork of US AI regulation has already arrived
Contestability in Government AI Systems