At this point, I am 100% certain that the magnitude of the fraud in federal entitlements (Social Security, Medicare, Medicaid, Welfare, Disability, etc) exceeds the combined sum of every private scam you’ve ever heard by FAR.
i think we are going to initially offer 10 uses per month for chatgpt plus and 2 per month in the free tier, with the intent to scale these up over time.
it probably is worth $1000 a month to some users but i'm excited to see what everyone does with it! https://t.co/YBICvzodPF
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.
