No. This is not close to factual. There was a one year program in Marin County that encouraged minorities to also apply for the fire department. That is not why there is a problem in fighting fires in LA. There is very legitimate critcism of Bass and Newsom, but this ain't it.
Can you honestly say that Pete Hegseth — who said women shouldn’t serve in combat, who was drunk at work events, who's credibly accused of sexual assault, and who ran a veteran's nonprofit into the ground — should be in charge of the Department of Defense? pic.twitter.com/pTtOqMsYGj
"The Kalkiist Economy Can Fully and Fairly Harvest AI" refers to a theoretical or visionary economic model that aligns with the principles of a "Kalkiist" philosophy—presumably based on the concept of Kalki, the prophesied future incarnation of Vishnu in Hindu tradition, associated with righteousness, renewal, and a new era of fairness. This statement suggests that a Kalkiist economy would be the only economic system capable of fully utilizing and fairly distributing the benefits of artificial intelligence.
Let’s break down the concept:
1. Kalkiist Economy:
- A Kalkiist economy could imply an economic model rooted in the idea of righteousness, fairness, and balance, potentially inspired by the concept of Kalki as the destroyer of corruption and bringer of a just world.
- It would likely emphasize equity, ethical use of technology, and a balanced distribution of wealth and opportunities.
- The economy might focus on holistic well-being, ensuring that AI advancements are not just leveraged by a select few, but benefit all sections of society.
2. Fully Harvesting AI:
- AI, when fully harvested, means leveraging its maximum potential across all sectors—education, healthcare, governance, finance, and more.
- The Kalkiist economy would ensure that AI reaches its full potential by:
- Promoting inclusive innovation and ensuring equal access to AI-powered solutions for all individuals and communities.
- Avoiding monopolistic practices where only large corporations and a select elite control AI technology.
- Using AI to improve social systems, productivity, and sustainability without causing harm to marginalized groups.
3. Fairly Harvesting AI:
- Fairness in the context of AI means ethical development and equitable distribution of the benefits AI brings.
- A Kalkiist economy would ensure that the fruits of AI are shared equally, preventing situations where AI creates or exacerbates inequalities.
- It would likely emphasize regulation and ethical oversight to prevent misuse of AI (e.g., in surveillance, biased algorithms, job displacement without proper safeguards).
- This economy would address concerns about the economic divide caused by AI automation and would seek to reskill the workforce for future industries.
Key Principles of a Kalkiist Economy Using AI:
1. Ethical AI Development: Ensuring AI is built with the highest ethical standards to avoid harm and promote welfare.
2. Universal Access: Everyone, regardless of their socio-economic status, should benefit from AI, ensuring equal access to technological advancements.
3. Sustainable Growth: AI is used not just for profit but for creating sustainable and environmentally friendly solutions.
4. Human-Centric Approach: AI should augment human potential, not replace it. Kalkiist philosophy might emphasize the symbiosis of AI with human creativity, emotions, and intelligence.
5. Regulation for Fairness: Strong regulations and policies to ensure that AI is not weaponized for exploitation, but rather used for the common good.
In summary, the idea behind "The Kalkiist Economy Can Fully And Fairly Harvest AI" is that only an economy built on principles of fairness, justice, and balance, like a Kalkiist model, would ensure that AI technology reaches its full potential while being ethically and equitably distributed across society. It suggests that current capitalist or unequal economic systems may not be equipped to handle the disruptive power of AI in a way that benefits all.
Pulling Back the Silicon Curtain Yuval Noah Harari’s study of human communication may be anything but brief, but if you can make it to the second half, you’ll be both entertained and scared.
The breakthrough AI needsA race is on to push artificial intelligence beyond today’s limits ........... The energy used to train OpenAI’s gpt-4 model could have powered 50 American homes for a century. ....... today’s biggest models cost $100m to train; the next generation could cost $1bn, and the following one $10bn. On top of this, asking a model to answer a query comes at a computational cost—anything from $2,400 to $223,000 to summarise the financial reports of the world’s 58,000 public companies. ........... fracking made it possible to reach oil and gas reserves that had previously been uneconomical to extract. As a consequence, America now produces more oil than any other country. ......... Alphabet, Amazon, Apple, Meta and Microsoft are all designing their own ai chips. ........... Bigger models that rely on the brute force of computational power are giving way to smaller and more specialised systems. OpenAI’s newest model, o1, is designed to be better at reasoning, but not generating text. Other makers are employing less onerous calculations, so as to make more efficient use of chips. Through clever approaches, such as using a mixture of models, each suited to a different type of problem, researchers have drastically cut down on processing time. .............. If the trend towards smaller and more specialised models continues, then the ai universe could contain a constellation of models, instead of just a few superstars. ............ This means that investors are in for a rocky ride. Their bets on today’s leaders look less certain. Nvidia could lose ground to other chipmakers; OpenAI could be supplanted. ........... progress in ai is as much about having the right talent and a flourishing ecosystem as it is about amassing capital and computing power. Countries in Europe and the Middle East may find that the hard graft of cultivating ingenuity matters as much as buying in computer chips. America, by contrast, is blessed with chips, talent and enterprise. It has many of the world’s best universities and, in San Francisco and Silicon Valley, an enviable and long-established cluster of talent.
OpenAI Announces a New AI Model, Code-Named Strawberry, That Solves Difficult Problems Step by Step The ChatGPT maker reveals details of what’s officially known as OpenAI-o1, which shows that AI needs more than scale to advance........ OpenAI made the last big breakthrough in artificial intelligence by increasing the size of its models to dizzying proportions, when it introduced GPT-4 last year. The company today announced a new advance that signals a shift in approach—a model that can “reason” logically through many difficult problems and is significantly smarter than existing AI without a major scale-up. ......... Rather than summon up an answer in one step, as a large language model normally does, it reasons through the problem, effectively thinking out loud as a person might, before arriving at the right result......... “There are two paradigms,” Murati says. “The scaling paradigm and this new paradigm. We expect that we will bring them together.” ......... LLMs typically conjure their answers from huge neural networks fed vast quantities of training data. They can exhibit remarkable linguistic and logical abilities, but traditionally struggle with surprisingly simple problems such as rudimentary math questions that involve reasoning. ........ Reinforcement learning has enabled computers to play games with superhuman skill and do useful tasks like designing computer chips. The technique is also a key ingredient for turning an LLM into a useful and well-behaved chatbot. ....... “The [new] model is learning to think for itself, rather than kind of trying to imitate the way humans would think” .......... OpenAI says its new model performs markedly better on a number of problem sets, including ones focused on coding, math, physics, biology, and chemistry. ......... The new model is slower than GPT-4o, and OpenAI says it does not always perform better—in part because, unlike GPT-4o, it cannot search the web and it is not multimodal, meaning it cannot parse images or audio. .......... In July, Google announced AlphaProof, a project that combines language models with reinforcement learning for solving difficult math problems. ....... “I do think we have made some breakthroughs there; I think it is part of our edge,” Chen says. “It’s actually fairly good at reasoning across all domains.” ......... Noah Goodman, a professor at Stanford who has published work on improving the reasoning abilities of LLMs, says the key to more generalized training may involve using a “carefully prompted language model and handcrafted data” for training. He adds that being able to consistently trade the speed of results for greater accuracy would be a “nice advance.”
Hispanic household wealth has tripled over the last decade
........... Latinos lost up to two-thirds of their median household wealth in the wake of the Great Recession. ........... a forecast for the U.S. Latino economy through 2029. It shows the cohort’s economic output will surpass Japan’s by 2024 and Germany’s by 2027 ........ “A young Latino in the U.S. turns 18 every thirty seconds.”
Something New: On OpenAI's "Strawberry" and Reasoning It is amazing, still limited, and, perhaps most importantly, a signal of where things are heading......... In fact, it can now beat human PhD experts in solving extremely hard physics problems.......... The AI “thinks” about the problem first, for a full 108 seconds (most problems are solved in much shorter times). You can see its thoughts ........ GPT-o1 does things that would have been impossible without Strawberry, but it still isn’t flawless: errors and hallucinations still happen, and it is still limited by the “intelligence” of GPT-4o as the underlying model .....
Using GPT-o1 means confronting a paradigm change in AI.
The Myth of Neutrality Countries Will Have to Choose Between America and China ........ This is not a choice that most countries wish to make. Over the past decades, foreign capitals have come to enjoy security and economic benefits from association with both the United States and China. These countries know that joining a coherent political-economic bloc would mean forgoing major benefits from their ties to the other superpower. ....... The message to Washington and Beijing is clear: no country wants to be forced into a binary decision between the two powers. ........ The United States has hastened to reassure its allies that it feels much the same. .......... Even the United States would not join such an arrangement if it required ending its economic relationship with China, which would come at a tremendous cost. ........... The U.S.-Chinese competition is an inescapable feature of today’s world, and Washington should stop pretending otherwise. ............ Washington played hardball. The Trump administration even went as far as to suggest to Poland that future U.S. troop deployments might be at risk if Warsaw worked with Huawei. The U.S. government warned Germany that Washington would limit intelligence sharing if Berlin welcomed Huawei; not long after, the Chinese ambassador to Germany promised retaliation against German companies if Berlin barred Huawei. Europe’s largest economy was caught between its top two trading partners. ........... The Biden administration has signaled its desire to outstrip China in the development and production of semiconductors, quantum computing, artificial intelligence, biotechnology, biomanufacturing, and clean energy technologies. To do so, Washington will need to build domestic capacity in each area and limit China’s ability to race ahead. Countries with niche capabilities will be caught between Beijing, which wants these technologies, and Washington, which wants to minimize Chinese access to them......... Already, Washington and Beijing are competing for the loyalties of Pacific Island states, although the contest in countries like the Marshall Islands, Micronesia, and Papua New Guinea has thus far produced a bidding war rather than a series of forced choices. .......... U.S. threats to cut countries off from intelligence sharing if they used Huawei—which supplied an all-in-one 5G network at a lower cost than anything the West could provide—were ineffective. ............ A sense, however, that the United States will be absent, noncommittal, or incompetent when the going gets tough will tempt them to align with or simply acquiesce to China’s preferences.
Claude 2 Claude 2 scores above the 90th percentile on the GRE reading and writing exams, and similarly to the median applicant on quantitative reasoning....... Think of Claude as a friendly, enthusiastic colleague or personal assistant who can be instructed in natural language to help you with many tasks. ........ Users can input up to 100K tokens in each prompt, which means that Claude can work over hundreds of pages of technical documentation or even a book. Claude can now also write longer documents - from memos to letters to stories up to a few thousand tokens - all in one go. ....... One of our partners is Jasper ........ They found that Claude 2 was able to go head to head with other state of the art models for a wide variety of use cases, but has particular strength for long form low latency uses. "We are really happy to be among the first to offer Claude 2 to our customers, bringing enhanced semantics, up-to-date knowledge training, improved reasoning for complex prompts, and the ability to effortlessly remix existing content with a 3X larger context window"
. We’ve expanded Claude’s context window from 9K to 100K tokens, corresponding to around
75,000 words!
This means businesses can now submit hundreds of pages of materials for Claude to digest and analyze, and conversations with Claude can go on for hours or even days. .......... The average person can read 100,000 tokens of text in ~5+ hours[1], and then they might need substantially longer to digest, remember, and analyze that information. Claude can now do this in less than a minute. ......... You can drop multiple documents or even a book into the prompt and then ask Claude questions that require synthesis of knowledge across many parts of the text. ........ Claude can follow your instructions and return what you’re looking for, as a human assistant would! ....... 100K translates into roughly 6 hours of audio ......... Assess the pros and cons of a piece of legislation ......... Rapidly prototype by dropping an entire codebase into the context and intelligently build on or modify it
My software businesses will generate over $4 million in 2023.
I have no idea how to write code.
My private equity company is building $500 million in storage.
I'd never built a building before.
You don't need to be an expert.
The biggest lie out there:
You have to be an…
— Cory Sylvester ๐ฆ (@StorageDataDev) July 12, 2023
This week has been a heck of a week for the AI world so far…
- Code Interpreter is released to Plus Users - Claude 2 goes into open beta - @elonmusk announces X Ai - SDXL 1.0 is available in Discord bot - @beehiiv (what I send newsletters with) adds AI to their platform
Thinking about how to continue to support our portfolio companies beyond our first investment…Right now, we only write one pre-seed check and do all follow-on / pro rata via SPVs.
Half the LPs I talk to: double the next fund size and roll it all in (pre+seed+A)
Here's my conversation with Benjamin Netanyahu (@netanyahu), Prime Minister of Israel, currently serving his 6th term in office. He is one of the most powerful and controversial men in the world. We talk about war, power, hate, corruption, and peace. https://t.co/hqnLxjHuhSpic.twitter.com/xuZ9OEvmdG
It is well-known that Putin travels around Russia in a private armored train. The Kremlin often publishes images of meetings in the luxurious boardroom on board.
Now, thanks to the @dossier_center, we know what another of the train’s cars looks like on the inside
Hanlon’s razor says “Never attribute to malice that which is adequately explained by stupidity.”
In a similar vein, be wary of assuming smart people are doing dumb things because they have a complex multi-step plan you can’t understand. Most of the time, it is just a dumb thing.
