sturza

I've made around 10 podcasts from random texts i have and each one gave me at least one "Aha!" moment that i did not get from reading the text.

It seems like it's just a lot of prompting the same old models in the background, no "reasoning" there. My age old test is "draw a hand in ascii" - i've had no success with any model yet.

Hard to launch today with gpt-o1 getting attention.

Both of you generalized from anecdotes.

Algolia.

Walter Isaacson’s.

works on my machine

Best at?

snitches get stiches

I had the same speed issue and i solved it using email drafts. They sync automatically and i have rich text.

They're actually formulated differently, at least at the Coca-Cola size of producer. It's worse for smaller, regional producers who use a single formula. Soft drinks can eat away at container materials, and so part of the container becomes of the beverage. Glass is the closest to impervious, aside from the cap, so it's usually the same as the fountain formula, while Aluminum requires a plastic coating in the can, and the plastics used in plastic bottles are by far the worst. Large producers actually adjust the formula to minimize the taste difference, but it's only partially effective. This same phenomenon also occurs in most beverages, including beer, juice, and milk, but the container varieties are far fewer across other beverages so most people don't notice. Milk out of a glass bottle is definitely better than milk out of a plastic bottle, for instance. Soft drinks are not nearly as problematic in their concentrated syrup form, as it turns out water is a huge contributor to the problem, so they're usually just shipped in mylar bags. As an interesting aside: Coca-cola products out of newer McDonald's automatic fountains dynamically adjust the syrup/water mix based on the amount of ice the customer asked for, so that when it melts during normal drinking it will be as close as possible to the ideal mixture.

Advice should be the same.

Link to the actual map: https://www.airgradient.com/map/

Conflict of interest, wrong incentive.

Was this post hacked? it shows 751 points and was posted 21m ago.

A counterargument to the claim that language is not sufficient for thought could be that while individuals with intact language abilities may exhibit impairments in reasoning and problem-solving due to brain damage or disorders like schizophrenia, these impairments might not be a direct result of language function itself. Instead, they could be caused by damage to other cognitive systems that interact with language, or by the disorder's broader impact on cognitive function.

For instance, schizophrenia is a complex disorder affecting various cognitive domains, including attention, memory, and executive functions, which are crucial for reasoning and problem-solving. Therefore, the observed impairments might stem from these broader cognitive deficits rather than a lack of language proficiency.

Brain damage can affect multiple brain regions and their connections, leading to a wide range of cognitive impairments. It is possible that the observed deficits in reasoning and problem-solving are due to damage to specific brain regions responsible for these functions, rather than a disruption of language processing itself.

While the presence of intact language abilities does not guarantee intact thinking abilities, it is necessary to consider the potential confounding factors, such as broader cognitive deficits or damage to other brain regions, before concluding that language is not sufficient for thought. Further research is needed to disentangle the complex relationship between language and thought and to determine the specific contributions of language to various cognitive processes.

Last year, I surveyed over 6,000 9to5Mac readers with the following question: “Would you buy a car that doesn’t have CarPlay?”

Yes: 734 votes or 11.42%

No: 5,138 votes or 79.94%

Maybe: 555 votes or 8.64%

I think you are making the wrong assumption that Apple is building the computers that people are vocal about or ask for. Nobody asked for any of the computers they are selling today, but some users have some wishes, sure.

original: https://news.ycombinator.com/item?id=40667416

Paper: https://molecularautism.biomedcentral.com/articles/10.1186/s...

yes

This is counterintuitive if you factor in GenAI.

Peter principle?

The operations were:

• A previously unreported operation from Russia, which we dubbed "Bad Grammar", operating mainly on Telegram and targeting Ukraine, Moldova, the Baltic States and the United States;

• A persistent Russian threat actor posting content about Ukraine across the internet, known as "Doppelganger";

• A persistent Chinese threat actor posting content across the internet to praise China and criticize its critics, known as "Spamouflage";

• A persistent Iranian threat actor posting web content that supported Iran and criticized Israel and the US, known as the International Union of Virtual Media (IUVM);

• A commercial company in Israel called STOIC, generating content about the Gaza conflict, and to a lesser extent the Histadrut trade unions organization in Israel and the Indian elections. We have nicknamed this operation "Zero Zeno" for the founder of the stoic school of philosophy, and to reflect the low levels of engagement that its various campaigns attracted.

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets. Overfitting and being cool about it and some new behavior might emerge.

Do you think grokking leads to proper generalized reasoning? https://arxiv.org/abs/2405.15071

One less click and scroll?

Grokking is all you need?

“ We want the authorities to stop people who have not lived here more than five years from buying properties and to put more controls on holiday accommodation”

Overview of the AI Act: Aims to regulate AI applications to ensure they align with ethical standards and human rights. Emphasizes transparency, accountability, and the protection of fundamental rights.

Penalties for Non-Compliance: Companies face significant fines (up to €35 million or 7% of global revenue) for violating the Act, highlighting the EU's commitment to robust enforcement.

Risk-Based Approach: The Act categorizes AI applications based on their risk level:

Unacceptable Applications: Includes social scoring, predictive policing, and emotional recognition in sensitive areas.

High-Risk Systems: Includes autonomous vehicles, medical devices, and AI in finance and education, which require stringent evaluations.

Impact on U.S. Tech Giants: Companies like Google, Microsoft, and OpenAI must adapt to the EU's regulations, focusing on compliance with copyright rules, transparency in model training, and maintaining high cybersecurity standards.

Implementation Timeline: The Act has a phased implementation with a 12-month delay for initial compliance and a 36-month transition period for existing AI systems.

Effective Implementation: Emphasizes the need for clear guidelines, robust monitoring, and stakeholder collaboration to ensure the regulations are practical and beneficial.