These lawsuits are an attempt to claw back money for FTX’s creditors following the company’s collapse. FTX claims that the money targeted in these suits was part of “a campaign of influence-buying” by founder and CEO Sam Bankman-Fried, conducted as the company was struggling to meet its own cashflow needs.

The lawsuit claims, “These ‘investments’ conveyed little to no benefit to Debtors, and instead served only to prop up Bankman-Fried’s standing in the worlds of politics and traditional finance,” which he then attempted to leverage as “potential sources of equity investment in FTX to fill the hole in the balance sheet and, therefore, keep his scheme afloat.”

Since the company went bankrupt, FTX executives have been convicted of crimes including fraud and money laundering. Bankman-Fried was sentenced to 25 years in prison and is currently appealing his conviction.

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Sam Bankman-Fried appeals conviction, criticizes judge’s ‘unbalanced’ decisions

Lawyers representing Sam Bankman-Fried, the FTX CEO and co-founder who was convicted of fraud and money laundering late last year, are seeking a new

Lawyers representing Sam Bankman-Fried, the FTX CEO and co-founder who was convicted of fraud and money laundering late last year, are seeking a new trial.

#sbf #ftx #crypto #crime #fraud

Following crypto exchange FTX’s collapse, Bankman-Fried was found guilty on all seven counts, then sentenced to 25 years in prison and ordered to pay $11 billion in forfeiture. He has been serving his sentence in Brooklyn.

Bloomberg reports that Bankman-Fried’s appeal focuses on the behavior of U.S. District Judge Lewis Kaplan, alleging that Kaplan’s rulings were “not just erroneous but unbalanced” and that the judge “continually ridiculed Bankman-Fried during trial, repeatedly criticized his demeanor, and signaled his disbelief of Bankman-Fried’s testimony.”

The appeal also claims that Kaplan “repeatedly mocked defense counsel” while helping the government make its case and that he “improperly prodded” jurors to reach a quick verdict.

Bankman-Fried’s lawyers are seeking a new trial under a new judge. The U.S. attorney’s office that prosecuted the case said it does not plan to comment on the filing.

The definition of a social media service as per the Online Safety Act according to the ABC can be found below:

The sole or primary purpose of the service is to enable online social interaction between two or more end users;
The service allows end users to link to, or interact with, some or all of the other end users;
The service allows end users to post material on the service.

By definition, any online gaming network such as Fortnite, Roblox or the PlayStation Network/Xbox Live would meet this criteria as they exist to enable online social interaction between two or more end users, allow people to interact and in most cases also allow material to be posted on the service.

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Reuters and Bloomberg report that TSMC, GlobalFoundries, and another unnamed company have completed agreements to receive billions in Chips Act funds from the US government. The deliveries will likely be the last before the inauguration of President-elect Donald Trump, who is critical of the legislation.

Although the companies haven't yet received the grants and loans, the US Commerce Department recently informed Congress that three companies will imminently receive the money. The amounts reflect prior agreements with TSMC and GlobalFoundries.

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.

Congress passed the Chips and Science Act in 2022, earmarking $280 billion for chipmakers who agreed to develop manufacturing facilities stateside. The program aims to reduce US dependence on South Korea and Taiwan for the most advanced semiconductors, partly because the latter is under potential threat from China.

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i wonder if a condition for receiving funds is to have hidden spyware or a backdoor embedded in the chips.

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Recently, however, Voyager 1 briefly fell silent. It broke communication with NASA in mid-October, then restored contact in an unexpected way: a backup radio transmitter that had been inactive since 1981.

“The spacecraft recently turned off one of its two radio transmitters, and the team is now working to determine what caused the issue,” according to a NASA blog post.

NASA’s twin Voyager probes have been flying for 47 years, which means the agency’s scientists and engineers back on Earth have increasingly had to deal with age-related maintenance issues, per Space.com’s Samantha Mathewson. Last December, for instance, Voyager 1 started sending nonsensical transmissions. Engineers solved the problem five months later, restoring the craft to its full abilities by this summer.

On October 16, Voyager 1 experienced another hiccup. Scientists sent the probe a command to turn on one of its heaters, but for some reason, the command triggered its fault protection system, which is built to respond autonomously to issues onboard. To preserve energy, the fault protection system occasionally turns off nonessential processes, but Voyager 1 should have had enough energy to run the heater.

Because the probe is currently more than 15 billion miles away—making it the farthest spacecraft from Earth—it takes almost 23 hours for a command to reach the craft and another 23 hours for its response to reach scientists. That means the NASA team only noticed something was wrong two days later, when they didn’t detect a response from the probe.

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After Pause, NASA’s Voyager 1 Communicating With Mission Team

On Oct. 24, NASA reconnected with the Voyager 1 spacecraft after a brief pause in communications. The spacecraft recently turned off one of its two radio transmitters, and the team is now working to determine what caused the issue.

The transmitter shut-off seems to have been prompted by the spacecraft’s fault protection system, which autonomously responds to onboard issues. For example, if the spacecraft overdraws its power supply, fault protection will conserve power by turning off systems that aren’t essential for keeping the spacecraft flying. But it may take days to weeks before the team can identify the underlying issue that triggered the fault protection system.

When the flight team, which is based at NASA’s Jet Propulsion Laboratory in Southern California, beams instructions to the spacecraft via the agency’s Deep Space Network, Voyager 1 sends back engineering data that the team assesses to determine how the spacecraft responded to the command. This process normally takes a couple of days — almost 23 hours for the command to travel more than 15 billion miles (24 billion kilometers) from Earth to the spacecraft, and another 23 hours for the data to travel back.

On Oct. 16, the flight team sent a command to turn on one of the spacecraft’s heaters. While Voyager 1 should have had ample power to operate the heater, the command triggered the fault protection system. The team learned of the issue when the Deep Space Network couldn’t detect Voyager 1’s signal on Oct. 18.

The spacecraft typically communicates with Earth using what’s called an X-band radio transmitter, named for the specific frequency it uses. The flight team correctly hypothesized that the fault protection system had lowered the rate at which the transmitter was sending back data. This mode requires less power from the spacecraft, but it also changes the X-band signal that the Deep Space Network needs to listen for. Engineers found the signal later that day, and Voyager 1 otherwise seemed to be in a stable state as the team began to investigate what had happened.

Then, on Oct. 19, communication appeared to stop entirely. The flight team suspected that Voyager 1’s fault protection system was triggered twice more and that it turned off the X-band transmitter and switched to a second radio transmitter called the S-band. While the S-band uses less power, Voyager 1 had not used it to communicate with Earth since 1981. It uses a different frequency than the X-band transmitters signal is significantly fainter. The flight team was not certain the S-band could be detected at Earth due to the spacecraft’s distance, but engineers with the Deep Space Network were able to find it.

Rather than risk turning the X-band back on before determining what triggered the fault protection system, the team sent a command on Oct. 22 to confirm the S-band transmitter is working. The team is now working to gather information that will help them figure out what happened and return Voyager 1 to normal operations.

Voyagers 1 and 2 have been flying for more than 47 years and are the only two spacecraft to operate in interstellar space. Their advanced age has meant an increase in the frequency and complexity of technical issues and new challenges for the mission engineering team.

Voyager 1 and its twin Voyager 2 are the only spacecraft ever to operate outside the heliosphere, the protective bubble of particles and magnetic fields generated by the Sun. Voyager 1 reached the interstellar boundary in 2012, while Voyager 2 (traveling slower and in a different direction than its twin) reached it in 2018.

My eye was caught by a striking photograph in the most recent edition of Charles Arthur’s Substack newsletter Social Warming. It shows a narrow street in the aftermath of the “rain bomb” that devastated the region of Valencia in Spain. A year’s worth of rain fell in a single day, and in some towns more than 490 litres a square metre fell in eight hours. Water is very heavy, so if there’s a gradient it will flow downhill with the kind of force that can pick up a heavy SUV and toss it around like a toy. And if it channels down a narrow urban street, it will throw parked cars around like King Kong in a bad mood.

The photograph in Arthur’s article showed what had happened in a particular street. Taken with a telephoto lens from an upper storey of a building, it showed a chaotic and almost surreal scene: about 70 vehicles of all sizes jumbled up and scattered at crazy angles along the length of the street.

It was an astonishing image which really stopped me in my tracks. Not surprisingly, it also went viral on social media. And then came the reaction: “AI image, fake news.” The photograph was so vivid, so uncannily sharp and unreal, that it looked to viewers like something that they could have faked themselves using Midjourney or Dall-E or a host of other generative AI tools.

But it wasn’t fake, as Arthur established in a nice piece of detective work – tracking down a bar in the picture using Facebook, finding the street in Apple Maps and even “walking” down it using Street View. “It’s not obvious why these people thought that photo in particular wasn’t real”, he writes. “Perhaps it’s something about the sheen of the cars and the peculiar roundedness of the shapes, and maybe the lack of obvious damage”. Or is it that the proliferation of AI-generated fakes is already making people increasingly predisposed not to believe things that are real?

My hunch is that it’s the latter, because social media are being overrun by what has come to be known as “AI slop” – images and text created using generative AI tools. (Amazon’s Kindle store is having similar problems with AI-generated “books”, but that’s a different story.)

You’d have thought that the social media companies would be bothered by this tsunami of crap on their platforms. Think again. According to Jason Koebler of the tech news website 404 Media, in a recent quarterly earnings call that was overwhelmingly about AI, Meta’s chief executive, Mark Zuckerberg, said that new, AI-generated feeds were likely to come to Facebook and other Meta platforms. Zuckerberg said he was excited by the “opportunity for AI to help people create content that just makes people’s feed experiences better”.

Warming to his theme, Zuck continued: “I think we’re going to add a whole new category of content, which is AI-generated or AI-summarised content or kind of existing content pulled together by AI in some way. And I think that that’s going to be just very exciting for Facebook and Instagram and maybe Threads or other kind of feed experiences over time.”

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In September, Vashti-Jasmine McKenzie noticed an event had mysteriously vanished from her Google Calendar. It was a reminder for an Usher concert in Dallas on October 5, synced with her Ticketmaster account.
McKenzie opened her email to a shock: The night before, a stranger had broken into her account, accessed McKenzie's two tickets, which she had paid $550 for, and transferred them out of her account.

"If this happened in real life, if somebody stuck me up, it would be like they were robbing me," said McKenzie, a 42-year-old conference manager.
McKenzie, a music fan who said she spent an estimated $10,000 on shows in 2024, ultimately got her tickets back and went to the show but remains critical of Ticketmaster.

McKenzie isn't the only concertgoer who's suddenly been left ticketless. Similar incidents have been reported in Los Angeles, Nashville, and Charlotte, North Carolina. The playbook is typically the same: Ticketmaster customers purchase tickets to see their favorite artists, only to later receive an email saying their tickets were transferred out of their online wallets by an unknown hacker — and quickly claimed.

These kinds of scams are just the latest in a series of headaches for the ticketing giant. Following a data breach earlier this year and pointed criticisms from major stars like Taylor Swift, the Justice Department (DOJ) announced in May that it filed an antitrust lawsuit against Live Nation, Ticketmaster's parent company, alleging that the company's "conduct is anti-competitive and illegal." Live Nation, worth about $28 billion as of November 8, has a tight grip on the live-entertainment industry. The DOJ said in its complaint that "through Ticketmaster, Live Nation controls roughly 80% or more of major concert venues' primary ticketing for concerts and a growing share of ticket resales in the secondary market."

In response, Live Nation said the DOJ's lawsuit would fail to address fans' issues with ticket prices and their ability to purchase them.
Still, experiencing the ticket-transfer scam firsthand has led McKenzie and at least one other customer to fear their purchases aren't secure.

In October, Mika City, a 28-year-old data analyst from Grand Prairie, Texas, spent $400 on two tickets to the rapper Don Toliver's show in Houston. Two days after she purchased them, she received a 6:08 a.m. email from Ticketmaster saying that her tickets were being transferred to someone named "Floyd George."
Just 39 seconds later, she received another email: "Floyd George" had accepted the ticket transfer, and the tickets had been removed from her account.

Intel and AMD currently have a stranglehold on the PC processor market, as the vast majority of consumers' PC processors come from these two manufacturer. But if this latest report is true, that duopoly could soon be challenged.

According to a new report from DigiTimes (reported on by PCGamesN), Nvidia may be planning to enter the consumer processor market by developing a new Arm-based CPU. Currently, Qualcomm’s Snapdragon chips have exclusive rights to Windows on Arm; however, according to Arm CEO Rene Haas, that’s set to change in 2024 with the recent news of that deal ending. There’s also the possibility stemming from Arm threatening to cancel Qualcomm’s Arm license, not to mention the rumors of Qualcomm potentially buying Intel.

While there’s no definitive answer for when this processor will launch, if ever, the report from Digitimes states that an announcement of the Nvidia chips could happen in September 2025, with a possible launch date of March 2026.

How much further can Nvidia push it?
It sounds like a smart move from Team Green, as it could use its vast reputation in the PC world to further push into the PC processor market and give Intel and AMD some much needed competition.

However, the lack of an x86 license might pose an issue for Nvidia. There’s a chance that it could be acquired through Qualcomm, if the two manufacturers join up and the rumors about the latter purchasing Intel become a reality.

Then there’s also the possibility that Team Green could be heading into the gaming processor market, which would pair nicely with its already dominant graphics cards. Of course, such an endeavor would take quite a bit of investment as Nvidia would have to dedicate a lot of resources to porting games to the Arm architecture.

And though the performance has proven to be well-optimized and impressive in its own right, Windows on Arm is still unsupported natively by most PC software and games, a hurdle that also holds back gaming on Macs. But if Valve could get a host of PC games to support Linux through SteamOS for the Steam Deck, then there’s definitely a chance that Nvidia could push for the same for Arm.

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It will be created through competitive crowdsourced research and development from thousands of contributors on the new Near AI Research hub, with participants able to join the training of a small 500 million parameter model from today, Nov. 10.

Near Protocol’s ambitious AI model
The project will grow in size and sophistication across seven models, with only the best contributors making the leap to working on progressively more complex and larger models. The models will be monetized and privacy will be preserved via the use of encrypted Trusted Execution Environments to reward contributors and encourage constant updating as the technology progresses.

The expensive training and compute will be funded with token sales, Near Protocol co-founder Illia Polosukhin told Cointelegraph at the Redacted conference in Bangkok.

“It costs about $160 million, so it’s a lot, obviously, but actually, in crypto, it is raiseable money,” he said. Polosukhin added:

“Then the tokenholders get repaid from all the inferences that happen when this model is used. So we have a business model, we have a way to monetize it, we have a way to raise money, and we have a way to put this in a loop. And so people can actually reinvest back into the next model as well.”

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Near patches critical bug that could crash every node on the network

Blockchain security firm Zellic discovered a flaw that could have crashed the NEAR network, but the team patched the vulnerability.
The smart contract platform Near Protocol contained a weird vulnerability that could have allowed an attacker to crash every node on the network, effectively shutting it down.

#near #blockchain #network #patch

According to a Sept. 26 report from blockchain security firm Zellic, which discovered it, the vulnerability was quietly eliminated through a patch in January, but some networks may still contain similar flaws.

In the report, Zellic referred to the flaw as a “Web3 Ping of Death” due to its ability to bring down an entire network “in an instant.”

Researchers discovered it while investigating Near’s peer-to-peer networking protocol for validator nodes, which allows its validators to communicate effectively with each other.

Nodes on the network communicate and authenticate each other via a “handshake” containing one of two types of signatures, Ed25519 and SECP256K1.

While verifying the signature for Ed25519 worked fine, verifying SECP256K1 signatures resulted in a “panic” response that crashed the node.

Having discovered this flaw, the researchers were surprised that it had not either been caught previously in tests or else crashed the network already.

The reason was more good luck than good management. It turns out that Near node software has “no code path that allows a Near node to generate SECP256K1 type keys.” In other words, the software allowed nodes to accept SECP256K signatures but didn’t allow them to produce such signatures.

As a result, no node had ever accidentally crashed the network by creating SECP256K keys and attempting to connect to another node.

Even so, a malicious node could alter the software to allow SECP256K keys to be generated. Once they did, they would have the power to crash any Near node simply by attempting to connect to it. The result could take down the entire network, constituting a “Web3 Ping of Death.”

To prove that the vulnerability was real, the researchers first created a version of the Near software containing a malicious patch that allowed SECP256K keys to be generated.

They then launched two nodes on a private testnet version of Near. The first node ran the legitimate software provided by developers, while the second ran the malicious version.

After the first node began producing blocks, the second node attempted to crash the first one by exploiting the two vulnerabilities. They found that the malicious node succeeded at crashing the legitimate one every time.

According to CoinMarketCap, the market cap of Ether (ETH) now stands at around $383 billion, up almost 5% in 24 hours, putting it roughly $40 billion above Bank of America’s market cap.

ETH’s high valuation compared to Bank of America shows a shift in financial market dynamics as blockchain technology adoption and growth begin to exceed traditional finance (TradFi).

The shift signals the rising popularity of decentralized finance (DeFi) and crypto assets as the US Securities and Exchange Commission considers listing the first options tied to spot ETH exchange-traded funds (ETFs).

ETH gains momentum, turns inflationary again
ETH has witnessed its greatest weekly price action since May as Bitcoin (BTC) price progressively pushes the limits to reach new all-time highs (ATHs).

However, over the last seven days, ETH supply has been quickly increasing, at an inflationary rate of 0.424% a year — previously deflationary in early-to-mid October.

According to Ultrasound.money data, the current yearly ETH burn rate sits at 452,000 ETH, while the issuance rate is more than double that at 957,000 ETH, resulting in an annual supply increase of 0.42%.

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“I’m going to be spending quite a bit of time working with lawmakers in Washington DC and quite a bit of time members of the administration to help foster and facilitate with other key leaders in industry the crypto policy,” Hoskinson explained in a Nov. 9 video posted on X.

“The best opportunity” is now, says Hoskinson
“We have to do this, and we have to get it done,” Hoskinson declared.

Hoskinson reiterated that there is “a very high probability” that the Republicans will “not only control the Senate and the Presidency, but also the Congress, the House.”

He believes this makes it “the best opportunity” for the crypto industry to gain clarity. This follows Trump’s election win on Nov. 6, where Trump campaigned on promises to provide a clearer path forward for the crypto industry if elected.

Hoskinson’s announcement comes after a turbulent few years for the crypto industry, with many crypto executives claiming that the US is falling behind the rest of the world.

Blockchain payment network Ripple CEO Brad Garlinghouse is one example who has voiced multiple public criticisms over the years during Ripple’s prolonged legal battle with the US Securities and Exchange Commission (SEC).

Crypto policy should be written by the “American people”
In March 2023, Garlinghouse stated that the SEC’s regulatory approach puts the US at “severe risk” of falling behind as a hub blockchain and crypto innovation.

Meanwhile, Hoskinson believes that crypto policy should be written by the “American people, the American crypto industry, and by well-meaning lawmakers.”

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Judge Colleen McMahon dismissed the case after finding that the plaintiffs failed to show concrete harm from OpenAI's use of their content as training data. Unlike other lawsuits targeting AI companies, this case focused on the removal of copyright management information rather than direct copyright violations—though Judge McMahon noted the underlying issue remained the same.

The judge's decision supported the fair use defense of OpenAI and other AI companies, noting that ChatGPT creates synthesized responses from its training rather than copying content directly. She emphasized that the likelihood of ChatGPT reproducing exact copies of articles is minimal, and pointed out that factual information in articles isn't copyrighted anyway.

The ruling also addressed past instances where ChatGPT had copied text verbatim, noting these cases can't be replicated with current versions—supporting OpenAI's position that such copying, when it occurs, is a rare bug rather than intended functionality.

While dismissing the current case, Judge McMahon left the door open for the plaintiffs to file an amended complaint. However, she expressed doubt about their ability to "allege a cognizable injury," according to Reuters. "Whether there is another statute or legal theory that does elevate this type of harm remains to be seen," McMahon said.

Raw Story's lawyer, Matt Topic, expressed confidence that the court's concerns would be addressed in a revised complaint. OpenAI has not yet commented on the decision.

A federal judge in New York has dismissed a lawsuit filed by news sites Raw Story and AlterNet against OpenAI, ruling that the plaintiffs failed to demonstrate sufficient harm from the use of their articles as training data for AI.
The judge agreed with OpenAI's fair use argument, stating that ChatGPT synthesizes AI responses based on the training content, and the likelihood of an exact copy of an article is low. If it does occur, it is considered an error rather than a feature, and facts are not protected by copyright.
This decision may influence other ongoing lawsuits against AI companies, such as the legal dispute between the New York Times and OpenAI, as well as lawsuits filed by music companies against AI music generators.

OpenAI defeats news outlets' copyright lawsuit over AI training, for now

A New York federal judge on Thursday dismissed a lawsuit against artificial intelligence giant OpenAI that claimed it misused articles from news outlets Raw Story and AlterNet to train its large language models.
U.S. District Judge Colleen McMahon said that the outlets could not show enough harm to support the lawsuit but allowed them to file a new complaint, even though she said she was "skeptical" that they could "allege a cognizable injury."

Raw Story's owners acquired AlterNet in 2018. Raw Story attorney Matt Topic of Loevy + Loevy said the outlets were "certain we can address the concerns the court identified through an amended complaint."
"We build our AI models using publicly available data, in a manner protected by fair use and related principles, and supported by long-standing and widely accepted legal precedents," an OpenAI spokesperson said in a statement.

Raw Story and AlterNet filed the lawsuit in February. They said that thousands of their articles were used without permission to train OpenAI's popular chatbot ChatGPT and that it reproduces their copyrighted material when prompted.
The case is part of a wave of lawsuits against OpenAI and other tech companies by authors, visual artists, music publishers and other copyright owners over the data used to train their generative AI systems. A lawsuit filed by The New York Times against OpenAI in December was the first from a media outlet.

The Chinese appear to have been able to gather large volumes of data in a sweeping covert campaign targeting the cellphones and mobile devices of business leaders and other high profile Americans of both political parties, according to sources familiar with the investigation.

The evidence is mounting that in some cases the Chinese operation was able to tap into, or get access to, what cellphone users of Verizon, AT&T and Lumen were communicating.

Authorities are trying to determine whether the Chinese were able to listen to conversations and watch text messages in real time, as they were occurring, or if they captured the material for review at a later time.

Sources said that U.S. officials are only beginning to understand the breadth of the Chinese operation, but what they have found so far is deeply concerning and represents a massive breach of privacy on a disturbing scale.

The targets have included not only former President Donald Trump and Sen. JD Vance, but also individuals working in a number of government agencies.

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In other words, Google’s new AI has the ability to take control of a computer to complete these simple tasks without manual human input. The prototype that popped up on Google’s extension store wasn’t in full working mode. A reporter tried to use Jarvis but access permissions prevented the app from performing any functions.

Google took down Jarvis’ store page by midafternoon ahead of its planned reveal in December. Jarvis will have some competition from outfits like Anthropic and its Claude AI assistant that started its public beta phase last month. Anthropic’s AI assistant can do more than just basic functions through a web browser. Claude can take over a computer to type text, activate buttons and move the cursor.

Good God 🤯🤯🤯 it's finally going to happen. I thought we would be seeing this like 2030, I guys Christmas came 5 years earlier. Compared to gpt40 which is more powerful?

YouTuber and former NASA engineer Mark Rober has created an unbeatable robot opponent that will shatter your confidence in the classic rock-paper-scissors game. Dubbed "Rocky," the robot is outwardly just a simple box with googly eyes and a 3D-printed hand, so how good could it be?

Impossibly good! Rober excitedly shows off the bot's capabilities in a recent video. Rober could not win a single round against the robot in his demo. Rober claims that the chances of beating Rocky are "zero percent."

The key to Rocky's dominance is a blisteringly fast hand-tracking system. An infrared motion sensor tracks the movement of your hand and fingers a hundred times per second. This data gets fed into a mini-computer buried inside Rocky's body, which uses algorithms to determine whether you're throwing rock, paper, or scissors split seconds before you've fully extended your hand. Once it knows your throw, the computer directs Rocky's robotic hand via servo motors to make the perfect counter move.

Wait a minute, that means it's the end of winning Rock paper scissors 😭💔
Mark Rober’s robot is really cool and that means eventually Robots can get to AGI level.

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.
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Despite the work evolving, Matias said that AI isn't taking over the whole coding process. Even though Google and Alphabet CEO Sundar Pichai said that a quarter of all code is now generated by AI, he also noted it's still reviewed and accepted by engineers.

Matias said hestill believes "everybody should learn how to code." In fact, the basics may be more important now than ever, he said.

"Perhaps even more so now, there are going to be many more opportunities to actually build on that," Matias said.

AI will impact a wide range of fields
Matias said that even those who don't want to become software engineers should understand how technology works,similar to how people still need to understand math even if computers can do the most complex calculations.

"I think that basic coding is like basic math," Matias said. "You need to understand what's going on there."

While the launch of ChatGPT two years ago ignited the generative AI race and made the technology a mainstream topic, AI research has been a cornerstone of tech giants like Google for over 20 years.

Matias said that AI will boost practically every field, especially biology, chemistry, and medicine. He said it's becoming "both a tool and a science."

Scout plans to begin producing up to 200,000 EV trucks and SUVs annually starting in 2027 from its $2 billion South Carolina plant, which is under construction. The automaker disclosed on Thursday that it will offer extended-range variants that include a small gasoline engine.

"With this award, the 3D-Audio program continues to be a significant cornerstone of our offerings to meet the demand for best-in-class audio systems from the global community," said Rob Strasser, Vice President of Terma Self-Protection Systems.

The deal comes at a time when the US and other allies have accelerated training Ukrainian pilots on F-16s due to Kyiv's pressing need for air defense against intensifying Russian bombardments. Keeping pilots operating at peak awareness is critical to ensuring mission success and getting them home safely.

Push all decisions to the lowest effective level (subsidiarity): Local entities must control their economic destiny unless demonstrably necessary to elevate to a higher level.

Require radical transparency by default: Organizations wielding significant economic power must operate transparently with increasing disclosure requirements as their influence grows.

End the socialization of private risk: Entities pursuing private gain must internalize their risks rather than offloading consequences onto society.

The third theme is about what happens when so much consumption moves to networks. Historically, most media distribution was one-way. It was delivered to consumers and there wasn't much of a feedback mechanism. But of course, today, most consumption happens on two-way networks. And the most important thing about networks is that they're subject to these really powerful positive feedback loops that make the strong, stronger. There's both a supply-side and a demand-side dynamic here.

The third theme is about what happens when so much consumption moves to networks. Historically, most media distribution was one-way. It was delivered to consumers and there wasn't much of a feedback mechanism. But of course, today, most consumption happens on two-way networks. And the most important thing about networks is that they're subject to these really powerful positive feedback loops that make the strong, stronger. There's both a supply-side and a demand-side dynamic here.

This is a movie called Where the Robots Grow. It is billing itself as the first AI-enabled feature length animation, created by a studio called AiMation, and is 87 minutes long. They say that the team is only nine people, and it only cost $8,000 per minute. Of course, those are fractions of the labor and cost of a traditional animated production. One thing they very cleverly did is they use robots, so lip syncing is not that important. Is it Pixar? No. But might it be really entertaining if you're five or six? Yeah. And clearly we're getting closer. It's streaming for free on YouTube, and I encourage you to check it out.

The researchers' recently published study describes a way to re-activate apoptosis in mutated cells, which would amount to forcing cancer to self-destruct through a bioengineered, bonding molecule.

Gerald Crabtree, one of the study's authors and a professor of development biology, said he had the idea while hiking through Kings Mountain, California, during the pandemic period. The new compound would have to bind two proteins which already exist in the cancerous cells, turning apoptosis back on and making the cancer kill itself.

This new discovery from Stanford is amazing man. If they can really reverse cancer cell behavior by triggering natural cell death, that could change the way we treat cancer. More hope for all cancer patients

Hallucinations are still an issue. We have to check things. That is why smaller models might be a bit more accurate.

That said, I believe the next generations of models will be more accurate since they are increasing the training compute.

We need to keep getting these types of comments into the database. Talking about this stuff is feeding #leoai.

I think free channels 🤔and I think they need to get into AI quickie and allow people to create their own AI videos into a Disney owned platform

I think they can launch a free streaming service with ad supported content to attract more viewers, following industry trends, but have any official announcements been made yet?

AI is spreading to those companies that are not into it. We will see it in every company by the end of next y ear.

I sense we are going to see the next leg of the arms race: those using AI for cyberattacks and then those using it for defense.