Sort:  
There are 2 pages
Pages

The Chips Act has boosted American electronics investments to historic highs. The country currently produces none of the world's advanced semiconductors but could supply at least 20 percent by the decade's end. However, an analysis earlier this year found that around 40 percent of the funding has suffered delays, some of them indefinite. Intel announced its award in March, but none of the money has reached the company yet.

The government awarded GlobalFoundries $1.5 billion to construct a new semiconductor fab in New York and help expand the company's Vermont operations. Meanwhile, TSMC secured a $6.6 billion grant and a $5 billion loan to build a fab for 2nm chips in Arizona.

Decentralized AI tackles privacy issues
To train such a large model, the project would need “tens of thousands of GPUs in one place,” which wouldn’t be ideal. But to use a decentralized network of compute “you’d need a new technology that doesn’t exist today because all the distributed training techniques we have require very fast interconnect.” However, he added that emerging research from Deep Mind suggests it is possible.

Polosukhin said he hasn’t spoken with existing projects like the Artificial Superintelligence Alliance but would be happy to see if there are synergies. Whatever happens, he said decentralized AI technology must win for all our sake. Conference guest speaker Edward Snowden rammed home the point by painting a scary portrait of centralized AI turning the world into a giant surveillance state.

The US has spent the last two years preparing to award chipmakers billions to help boost the country's domestic semiconductor industry, which has lagged behind nations like Taiwan and South Korea. The US government is negotiating the last of the subsidies as the incoming Trump administration threatens the policy's future.

Mutated BCL6 proteins block a signal that should normally bring cancerous cells to activate apoptosis. Traditional, non-destructive cancer treatments have been targeting oncogenes to try and shut the cancer down, while the new study proposes a mechanism to exploit them instead. "You take something that the cancer is addicted to for its survival and you flip the script and make that be the very thing that kills it," Crabtree said.

The team is now testing the molecule on mice affected by diffuse large B-cell lymphomas, to see if the method is effective at killing cancer in living animals. The technique relies on the natural supply of BCL6 and CDK9 in cells, which means it will likely work only on cancerous lymphomas. After testing the new molecule with 859 different types of cancer cells in the lab, the researchers confirmed that it was able to kill only diffuse large cell B-cell lymphoma cells.

The roots of First Principles Thinking sit deep, tracing back to none other than Aristotle, the ancient Greek philosopher. Aristotle’s exploration of this concept in his work, “Metaphysics,” laid the groundwork for study of critical thinking and analysis. He proposed that understanding anything in its most basic form involves identifying its “first causes” or “principles” — the fundamental truths or building blocks from which everything else is derived.

Despite its ancient origins, the concept of First Principles Thinking was cast into the modern spotlight by innovators like Elon Musk, who has often spoken about its role in his approach to problem-solving and innovation. Musk’s discussions around the concept have brought it into the contemporary discourse, highlighting its relevance and applicability to solving complex problems and fostering innovation in today’s technology-driven world. It encourages us to strip away accumulated knowledge and assumptions — often taken for granted — to revisit the very foundations upon which our understanding is built. This approach doesn’t just apply to scientific inquiry or technological innovation; it extends to any domain where complex problems exist and where innovative solutions are sought.

While AI hype at the moment is concentrated on model and AI-native companies, AI use cases among non-AI-native companies within the “long tail” are growing more prominent and commonplace, ranging from customer service chatbots to augmented reality shopping experiences. Given the pace of AI innovation, we believe the easiest way to understand how companies in the long tail are using AI is by grouping their use cases into one of four layers that we outlined in this deep dive: custom models, closed-source models, open-source models, and third-party AI tools.

Michael Saylor’s MicroStrategy (MSTR) began accumulating BTC in 2020 and never looked back, transforming the get-along software company into a top-performing equity investment of the past two bull cycles in the process.

Despite reporting substantial losses every quarter in 2024, MSTR is still handily outperforming BTC, up an additional 200% on the year-to-date basis after parabolically doubling in price since September!

Shortly after Denmark has allowed picture porn also follows countries such as Germany, the USA and Sweden, and from the mid-70s the train leaves us so small, even though Theander brothers still produce lots and ship abroad.

  • In the late 70 ’ we have been run over and are no longer a big player in the market, I think. The epoch is over.

Ethical Considerations Surrounding AI GF Chatbots
As AI GF chatbots become more prevalent, ethical considerations come to the forefront. Users often form emotional attachments to these digital companions, leading to questions about consent and authenticity.

Privacy is another key concern. Many chatbots collect personal data to enhance user experience. This raises issues about how that information is stored and used.

Information theory is the mathematical study of the quantification, storage, and communication of information. The field was established and put on a firm footing by Claude Shannon in the 1940s,[1] though early contributions were made in the 1920s through the works of Harry Nyquist and Ralph Hartley. It is at the intersection of electronic engineering, mathematics, statistics, computer science, neurobiology, physics, and electrical engineering

Let’s face it— we’re in a marketing battleground. Your business is only one of the hundreds or even thousands competing for your customer’s attention. If your goal is to win the war for attention, you need to differentiate yourself in a way that actually matters to your customers.

While this sounds obvious, it’s not. All too often, businesses assume they understand what is important for their customers.

Financial crises, twice in so many decades, have exposed our monetary hardwiring as a critical issue of governance. That circuitry starts with a public unit – the dollar -- created and backed by the federal government, but it appoints commercial banks to amplify and spread that money at the retail level. The design does more than delegate distribution to banks. By privileging banks as money creators, it also enables them to determine distribution. Operating according to criteria that are privately determined, banks decide which recipients will benefit from the expansion of a medium that is public. The process is clearly discriminatory.

The hybrid state at the monetary core of the market has never been justified according to democratic criteria. Retail banks prevailed in their partnership with the state because they had strategic advantages in creating credit money, not because they were experts in allocating that medium fairly or most efficiently. That history, recovered here, was lost to an economic narrative that located banks as intermediaries vetted by the competitive marketplace. Public spending does not dilute the problem; all such spending occurs through the same banked conduits.

“You can learn how something can be done and then go back to first principles and ask yourself, ‘Given the conditions today, given my motivation, given the instruments, the tools, given how things have changed, how would I redo this? How would I reinvent this whole thing?’”

Jensen Huang, founder and CEO of NVIDIA, started his career washing dishes at Denny’s. He then worked his way to busboy and eventually founded what is one of today’s most valuable companies. In this interview at Stanford GSB’s View From The Top event, founder and CEO Jensen Huang shares the stage with Shantam Jain, MBA ’24, to detail his experience founding NVIDIA, funding it, and finally, his views on AI.

The Alabama Bureau of Investigation is leading the investigation into the shooting.

Tuskegee University is located about 39 miles east of Montgomery, Ala.

It was not immediately known how many shooters there were. No arrests had been made as of Sunday morning.

“It tells you that the fact is, what we do, what our purpose is in the Democratic Party, is for America’s working families,” she added.

“For example, under President Biden, you see the rescue package, money in the pockets of people, shots in the arm, children in school safely, working people back to work.”

Pelosi took aim at President-elect Trump, as the octogenarian seemingly forgot his name for a moment.

Michalski remained in Hungary for a final night while Gretchen Tower moved on to visit some friends in Italy, the grieving friend told WKBW.

The duo remained in communication until shortly after midnight Tuesday. Michalski then failed to check out of her Airbnb or make her flight back to the US — prompting Tower to call the US Embassy.

At a candlelight vigil in Budapest Saturday, Michalski’s father Bill said she had visited Budapest before, and called it her “happy place.”

Schumer’s office did not immediately respond to an inquiry from The Post.

A children’s activity book featuring a character created by the Palestinian cartoonist Naji al-Ali was handed out on Saturday amid speeches from organizers who refused to identify themselves.

The workbook was created by the Palestinian Feminist Collective, one of the radical organizations highlighted in a recent report by the Network Contagion Research Institute and the advocacy group New York City Public School Alliance.

The report outlined the PFC’s pushing of resources allegedly linked to the Popular Front for the Liberation of Palestine, a US-designated terrorist organization.

If the sex pest once known as “Carlos Danger” during his sexcapades does give politics another go, he would vie for the seat of Council Member Carlina Rivera, which will be open after her term ends in 2025.

Weiner did acknowledge Saturday that his personal baggage might hamper his odds.

Big history started with the Alpha Point, be it the Big Bang or Big Bounce, and resembles a huge ongoing evolutionary computing program running on the universal computer of sorts. As a rule, which I refer to as ‘Universal Evolutionary Doubling Algorithm,’ or simply ‘Exponential Evolution,’ the pace of any evolutionary process always quickens It took billions of years since the Big Bang for Earth to form. It took two billion more for unicellular life to “warm up” for the next phase of multicellularity about 550 million years ago. Mammals inherited Earth some 65 million years ago. With the emergence of primates, evolutionary progress was measured in mere millions of years, leading to Homo sapiens some 300,000 years ago.

Volatility Models are dependent upon how you are measuring volatility. Do you define that as close to close, from last night’s close to the morning open, or do you measure volatility as the percentage movement that day between the high and the low? Illustrated above in Figure #6 we have plotted these three main types of volatility so you can see there is a huge difference. Obviously, the definition of volatility being plotted and forecast can be correct in one manner and a non-event in another. It all depends upon your definition.

There is overnight volatility reflected in the percentage movement from the previous session closing to the current session opening. Then there is intraday volatility measured by the distance between the high and low of the trading session. Then there is closing volatility from one session to the next. We can see that these three perspectives alone provide completely different forecasts.

Rep. Nancy Pelosi, California Democrat, blamed President Biden for Tuesday’s blowout loss because of his late exit from the race in July.

She argued that if Democrats had an open primary to find a new party nominee, the election outcome might have been different.

According to most of the sources, no one in the FBI at a GS-14 level or higher is safe from losing their job after Mr. Trump is sworn in, and they fully expect the president-elect to “smash the place to pieces when he gets in,” and that it will be a “bloodbath.”

Former FBI whistleblower George Hill told The Washington Times that people in the agency say the current state of the FBI is “frazzled.”

Mr. Trump’s firing of Mr. Comey in 2017 raised suspicions in the Justice Department that the president was obstructing justice, leading to special counsel Robert Mueller’s long-running and costly probe, which eventually found no evidence that Trump campaign officials conspired with or were connected to Moscow.

A subsequent government watchdog investigation found that FBI officials made numerous errors or omissions in secret warrant applications for surveillance of a Trump campaign aide.

Following the high court’s decision, Mr. Strand said, U.S. District Judge Christopher Reid Cooper claimed he would have sentenced him to one year in prison anyway, even without the felony conviction. Judge Cooper is an Obama appointee.

“[Judge Cooper] said, if the felony had not been there, but I’d gone to trial, he would have sentenced me to 12 months on a first-time nonviolent misdemeanor,” he said in a phone interview. “That’s not just crazy. That’s like 10 times crazy.”

During a portion of his prison sentence at the Miami facility, Mr. Strand was placed in solitary in the isolation unit.

“It’s like a giant steel, rusted red, brownish color. Everything else in the cell is concrete, so it’s all grayish, ugly and depressing…and you’re reduced to a pulse and almost nothing else,” he said.

Prison policy dictates that those locked up in solitary confinement must be granted one hour of “recreation time” or outdoor time per day, but Mr. Strand says they violated their own policy at the Miami facility.

Implications of Bitcoin’s Surging Mining Difficulty
Meanwhile, Bitcoin appears set to enter a bull run cycle for the rest of 2024 and beyond. This is evidenced in Bitcoin’s ability to hit new highs in mining difficulty. Simply put, mining difficulty measures the difficulty of solving the complex cryptographic puzzles used in the mining process.

This recent surge suggests miners will need to work harder to mine Bitcoin. Consequently, only the strongest and most efficient operators in the industry will get involved in securing the network.

As of this writing, the BTC price was $76,355, down 0.13% over the last 24 hours. Still, following Trump’s election victory, a Bitcoin target of $120,000 and beyond in the coming weeks seems more likely.

Dillon said “Joker 2” “has no plot” and recalled realizing the movie was going to bomb while he was on set.

“We would sit there, me and these other guys were all dressed in these security outfits because we’re working at the Arkham Asylum, and I would turn to one of them and we’d hear this crap and I’d go, ‘What the f— is this?’ ” he shared. “And they’d go, ‘This is going to bomb, man.’ I go, ‘This is the worst thing I’ve ever seen.’

Then, on October 19, Voyager 1 fell silent again. The team speculated that the probe might have completely turned off its X-band transmitter in favor of a backup S-band radio transmitter, which operates at a much lower frequency of two to four gigahertz—an instrument it hadn’t used in 43 years. Communicating on the S-band uses less power, but its signal is also fainter, so if that was the case, NASA scientists weren’t sure whether they’d be able to detect it from Earth. Coupled with the fact that Voyager 1 is much farther away now than it was when it last used the S-band in the ’80s, finding the signal could have been a difficult task.

As World War II raged on, delegates from 44 Allied nations gathered at a hotel in Bretton Woods, N. H., to lay out foundations for the reconstruction of the international financial system. The hope was to prevent a repetition of competitive devaluations in the 1930s and to create a stable economic and financial environment for nations to operate in. This resulted in an agreement for countries to fix their exchange rates to the U.S. dollar and the U.S. to peg the dollar to gold.

Information theory studies the transmission, processing, extraction, and utilization of information. Abstractly, information can be thought of as the resolution of uncertainty. In the case of communication of information over a noisy channel, this abstract concept was formalized in 1948 by Claude Shannon in a paper entitled A Mathematical Theory of Communication, in which information is thought of as a set of possible messages, and the goal is to send these messages over a noisy channel, and to have the receiver reconstruct the message with low probability of error, in spite of the channel noise. Shannon's main result, the noisy-channel coding theorem, showed that, in the limit of many channel uses, the rate of information that is asymptotically achievable is equal to the channel capacity, a quantity dependent merely on the statistics of the channel over which the messages are sent

In the 60s and 70s, adult movie theaters provided increasingly public spaces for people to see pornographic materials, resulting in a series of court cases that had significant ramifications for the legal separation of the public and private spheres. Although it is still in its early stages, Erin Barry’s research has already brought up some interesting questions regarding the limits of freedom of speech, the division between public and private spaces, and the government’s relationship to its citizens’ sexuality.

At the core of AI-based search is the ability to interact with the machines and algorithms leveraging data in a natural way. NLP, or natural language processing, provides the ability for machines to interact with human language without sacrificing all the complexity and diversity that language and speech provide. With NLP computers can detect patterns and similarity of words within language and use that to provide more relevant responses. Take for example something as simple as how we describe things in the English language. I can use the same word to mean two very different things, “My dinner was salty” means something very different compared to “Jane was acting very salty”. The word salty in these two contexts are very different, NLP provides the ability for computers to provide discernment on what is actually being stated and requested.

Crypto x AI can give rise to the “Agentic Web”, a transformative paradigm in which AI agents operating on crypto infrastructure rails can become significant drivers of economic activity and growth. We predict a future where agents will have their own crypto wallets to autonomously transact and fulfill user intents, access lower-cost, decentralized compute and data resources, or leverage stablecoins to pay humans and other agents to complete tasks necessary for their overall objective function.

However, it was Ole Ege who almost made her world famous in a movie where she rides naked, masturbates on a horse, and has sex with various animals. The film won an award at the first porn film festival in Amsterdam in 1970, and it made Denmark known for now also doing animal sex.

  • There were also many tourists who came to the country to experience Bodil's live shows on her farm in Odsherred, and she probably became the biggest porn star we had in those years.

First Principles Thinking is a philosophical approach that involves breaking down complex problems into their most basic components. It’s about getting to the ‘first principles’ or the foundational truths of a problem or situation, then reconstructing it from the ground up. This methodology encourages us to question assumptions, rethink norms, and explore new possibilities that aren’t bound by existing models or beliefs.

Central banks do not control the creation or destruction of money

Central banks are not central to our financial system

Central banks are effective when they can prod & coerce people & institutions to act in an ordained way

Central bankers mostly just push wet spaghetti around

Central bankers are the man behind the curtain from the Wizard of Oz. If/when the world wakes up to this fact there will be a great deal of volatility

“We didn’t design them to last 30 years or 40 years, we designed them not to fail,” John Casani, Voyager project manager from 1975 to 1977, says in a NASA statement.

In 2012, Voyager 1 became the first spacecraft to cross out of the heliosphere—a sort of bubble surrounding the solar system filled with the solar magnetic field and solar wind—making it the first spacecraft to enter interstellar space. Voyager 2 reached the cosmic milestone six years later.

Here’s a question: who creates money?

If you answered the Federal Reserve, I’m sorry but you’re going to have to repeat the 4th grade. Commercial banks create money. This system of money creation has an inherent advantage that the gold standard lacks: flexibility. Banks can create more $$$ when demand for money is strong, spurring economic growth. If demand for $$$ is sluggish, banks won’t loan. Alternatively, there may be a lot of money demand but banks still won’t lend for a multitude of reasons. That’s a rabbit hole too deep for the purposes of this article…

The Number and Types of Agents in Artificial Intelligence
There are five different types of intelligent agents used in AI. They are defined by their range of capabilities and intelligence level:

Reflex Agents: These agents work here and now and ignore the past. They respond using the event-condition-action rule. The ECA rule applies when a user initiates an event, and the Agent turns to a list of pre-set conditions and rules, resulting in pre-programmed outcomes.
Model-based Agents: These agents choose their actions like reflex agents do, but they have a better comprehensive view of the environment. An environmental model is programmed into the internal system, incorporating into the Agent's history.

Goal-based agents: These agents build on the information that a model-based agent stores by augmenting it with goal information or data regarding desirable outcomes and situations.
Utility-based agents: These are comparable to the goal-based agents, except they offer an extra utility measurement. This measurement rates each possible scenario based on the desired result and selects the action that maximizes the outcome. Rating criteria examples include variables such as success probability or the number of resources required.
Learning agents: These agents employ an additional learning element to gradually improve and become more knowledgeable over time about an environment. The learning element uses feedback to decide how the performance elements should be gradually changed to show improvement.

MicroStrategy became the first publicly traded company to implement a BTC treasury strategy with its purchase of 21,454 tokens for $250M announced back in August 2020, an initial investment that has returned nearly 500% during its 4-year lifespan.

As of September 2024, MicroStrategy holds 252,220 bitcoin.

Although MicroStrategy has retained its status a BTC behemoth among direct corporate holders, the introduction of spot BTC ETFs in January 2024 reshaped the top holder landscape, supplanting MicroStrategy with BlackRock as the fourth largest entity to hold BTC behind Binance, Satoshi, and Coinbase.

Google's head of research told BI that learning to code continues to be a valuable skill.
Yossi Matias compared coding to math and said learning "basic disciplines" is "as important as ever."
He also said people should remember AI isn't just in chatbots — and it's going to transform a number of fields.
Recommended articles

There are 2 pages
Pages