Tesla’s energy deployments could also be seen ramping throughout 2024, with more Megapack and Powerwalls going out than ever, as evidenced by deployments of 4.1 GWh, 9.4 GWh and 6.9 GWh in the first, second and third quarters of the year, respectively.
Together, these amounted to a record-high gross profit for the company’s energy sector in Q4, especially as production continued to ramp, resulting in cost reductions at the Lathrop Megafactory. The company has also highlighted its continued rollout of the next-generation Powerwall 3 in a number of markets, which is expected to continue into this year.
Bukele has long framed Bitcoin as a tool for financial inclusion, arguing it could benefit the 70% of Salvadorans without access to traditional banking services.
Businesses were previously required to accept the cryptocurrency, a policy that met resistance from retailers wary of volatility.
Despite IMF pressure to limit Bitcoin’s role, the government has signaled it will continue accumulating Bitcoin.
Bukele’s administration has been buying Bitcoin daily since late 2022, using a dollar-cost averaging strategy.
Paolo also discussed the company’s mission in El Salvador. He declared:
We are here to invest in the country. The tower is an example, but we want to hire a lot of people, because the tower has to be filled with people. We are already hiring to help us with compliance issues and technology departments.
Rumble, a company backed by Tether, is also looking to open offices in El Salvador and start hiring locally. It recently completed a deal with the local government to offer cloud computing services.
Ardoino also highlighted the relevance of the nation’s stance on crypto in this context. “We need stability and an adequate regulatory framework, and El Salvador is one of the few countries that has truly understood the potential of digital assets,” Ardoino asseverated, justifying the move of its headquarters to El Salvador.
“It is the country of the future. I believe that El Salvador and Latin America will be one of the main spaces for the world’s future. Europe is in decline,” Ardoino concluded.
Heritable Architecture’s seeds were planted by founder and CEO, Brad Zamft. The physics PhD served as a program officer and fellow at the Bill & Melinda Gates Foundation before spending a year as the chief scientific officer at a venture-backed startup called TL Biolabs. Eight months later, in late 2018, Zamft joined Google X, quickly becoming the project lead of what would become Heritable.
“I was given broad purview to work on whatever I wanted, as long as it could scale to a Google-size business,” Zamft tells TechCrunch. “That was the mandate. The idea of how do we get better at optimizing plants stuck with me and it gained traction with the leadership. We did a very good job moving through the gauntlet that is Google X.”
Using machine learning, Heritable analyzes plant genomes to determine combinations that might improve yields, while lowering water consumption and raising carbon storage capacity. The models the company built were tested on thousands of plants, grown to those specifications within a “specialized growth chamber” at X’s Bay Area headquarters. The researchers also conducted field work at sites in California, Nebraska, and Wisconsin.
The company has no plans to explore mutagenesis, a GMO process that utilizes either chemicals or radiation to create crop mutations. Zamft adds, however, that CRISP-fueled gene editing will eventually play a role in making plants “programmable.” For now, however, Heritable is focused on more conventional methods.
“We’re not developing gene-edited plants, and genetic modification is not on our roadmap,” says Zamft. “Gene editing may eventually come, but we’re seeing a huge, unmet need for identifying what to breed and then doing better breeding — crossing a mother and father plant, not using the biotechnology to actually develop the [crop].”
The executive adds that the team is most immediately focused on commercializing the technology. Zamft did not reveal anything in the way of specific timelines or commercial partners. He did note, however, that Heritable has fittingly raised a seed round, featuring FTW Ventures, Mythos Ventures, and SVG Ventures.
Google is an investor as well, with an undisclosed amount of equity in the young company.
Google laid off dozens from X last January, as part of company-wide cuts. Under the leadership of lab head Astro Teller, the corporate incubator has begun to more aggressively spin off companies like Heritable.
AI used for social scoring (e.g., building risk profiles based on a person’s behavior).
AI that manipulates a person’s decisions subliminally or deceptively.
AI that exploits vulnerabilities like age, disability, or socioeconomic status.
AI that attempts to predict people committing crimes based on their appearance.
AI that uses biometrics to infer a person’s characteristics, like their sexual orientation.
AI that collects “real time” biometric data in public places for the purposes of law enforcement.
AI that tries to infer people’s emotions at work or school.
AI that creates — or expands — facial recognition databases by scraping images online or from security cameras.
From 25th to 29th, 83 hours, DeepSeek server cluster, received more than 230 million DDos malicious requests per second, the total amount of attacks is equivalent to three days of European network traffic combined. A number of Chinese Internet companies came to the rescue to defend against the attack, and this epic story of working together to fight against foreign enemies will be forever recorded in history as a barbaric invasion was stopped.
Companies that are found to be using any of the above AI applications in the EU will be subject to fines, regardless of where they are headquartered. They could be on the hook for up to €35 million (~$36 million), or 7% of their annual revenue from the prior fiscal year, whichever is greater.
“Organizations are expected to be fully compliant by February 2, but … the next big deadline that companies need to be aware of is in August,” Sumroy said. “By then, we’ll know who the competent authorities are, and the fines and enforcement provisions will take effect.”
Preliminary pledges
The February 2 deadline is in some ways a formality.
Last September, over 100 companies signed the EU AI Pact, a voluntary pledge to start applying the principles of the AI Act ahead of its entry into application. As part of the Pact, signatories — which included Amazon, Google, and OpenAI — committed to identifying AI systems likely to be categorized as high risk under the AI Act.
Some tech giants, notably Meta and Apple, skipped the Pact. French AI startup Mistral, one of the AI Act’s harshest critics, also opted not to sign.
That isn’t to suggest that Apple, Meta, Mistral, or others who didn’t agree to the Pact won’t meet their obligations — including the ban on unacceptably risky systems. Sumroy points out that, given the nature of the prohibited use cases laid out, most companies won’t be engaging in those practices anyway.
“For organizations, a key concern around the EU AI Act is whether clear guidelines, standards, and codes of conduct will arrive in time — and crucially, whether they will provide organizations with clarity on compliance,” Sumroy said. “However, the working groups are, so far, meeting their deadlines on the code of conduct for … developers.”
We study empirical scaling laws for language model performance on the cross-entropy loss. The loss scales as a power-law with model size, dataset size, and the amount of compute used for training, with some trends spanning more than seven orders of magnitude. Other architectural details such as network width or depth have minimal effects within a wide range. Simple equations govern the dependence of overfitting on model/dataset size and the dependence of training speed on model size. These relationships allow us to determine the optimal allocation of a fixed compute budget. Larger models are significantly more sample-efficient, such that optimally compute-efficient training involves training very large models on a relatively modest amount of data and stopping significantly before convergence.
There are exceptions to several of the AI Act’s prohibitions.
For example, the Act permits law enforcement to use certain systems that collect biometrics in public places if those systems help perform a “targeted search” for, say, an abduction victim, or to help prevent a “specific, substantial, and imminent” threat to life. This exemption requires authorization from the appropriate governing body, and the Act stresses that law enforcement can’t make a decision that “produces an adverse legal effect” on a person solely based on these systems’ outputs.
No.1 No one said the total cost of Deepseek project is $6 million. They only said the cost of training model is $6 million; No 2. Distillation is legal, it is the standard technique in the AI industry. Everyone does the same. No. 3 Deepseek made it opensource and available for everyone to use. Therefore, you cannot label it as "stealing" because they did not keep it for themself. NO. 4 The main innovation is how Deepseek structure the GPUs for computing which made its efficiency ten time better than OpenAI. No one point that out. Recognizing its state of the art reasoning capabilities, Nvidia now offers Deepseek R1 model in its NIM microservices.
The Act also carves out exceptions for systems that infer emotions in workplaces and schools where there’s a “medical or safety” justification, like systems designed for therapeutic use.
The European Commission, the executive branch of the EU, said that it would release additional guidelines in “early 2025,” following a consultation with stakeholders in November. However, those guidelines have yet to be published.
Sumroy said it’s also unclear how other laws on the books might interact with the AI Act’s prohibitions and related provisions. Clarity may not arrive until later in the year, as the enforcement window approaches.
“It’s important for organizations to remember that AI regulation doesn’t exist in isolation,” Sumroy said. “Other legal frameworks, such as GDPR, NIS2, and DORA, will interact with the AI Act, creating potential challenges — particularly around overlapping incident notification requirements. Understanding how these laws fit together will be just as crucial as understanding the AI Act itself.”
Keep in mind that when referring to digital information and computer storage specifically:
Kilobyte is often considered as being exactly 1024 bytes.
This means subsequent measurements follow this binary progression:
Megabyte = 1024 kilobytes,
Gigabyte = 1024 megabytes,
and so on for Terabyte and beyond.
However for general purposes like file sizes and data transfer rates both definitions can be used depending on what is being measured and who is doing the measuring
“The majority of X’s advertising revenue today comes from small- and medium-sized businesses that are not GARM members or clients of GARM-member advertising agencies,” the complaint says. “As demand for advertising on X has declined as a result of the boycott, the price X’s remaining advertisers are willing to pay has declined as well.”
In fact, the lawsuit claims that ad prices on X “remain well below those charged by X’s closest competitors in the social media advertising market,” so “by refraining from purchasing advertising from X, boycotting advertisers are forgoing a valuable opportunity to purchase low-priced advertising inventory on a platform with brand safety that meets or exceeds industry standards.”
The lawsuit isn’t the only place where executives have offered a pessimistic assessment of X’s business. The company’s owner Elon Musk reportedly told employees in January that “user growth is stagnant, revenue is unimpressive, and we’re barely breaking even.”
Tesla’s energy deployments could also be seen ramping throughout 2024, with more Megapack and Powerwalls going out than ever, as evidenced by deployments of 4.1 GWh, 9.4 GWh and 6.9 GWh in the first, second and third quarters of the year, respectively.
Together, these amounted to a record-high gross profit for the company’s energy sector in Q4, especially as production continued to ramp, resulting in cost reductions at the Lathrop Megafactory. The company has also highlighted its continued rollout of the next-generation Powerwall 3 in a number of markets, which is expected to continue into this year.
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!summarize #tesla #ev
!summarize #lukadonic #anthonydavis #nba #lalakers #dallas #mavericks
!summarize #universe
!summarize #lalakers #lukadoncic #dallas #mavericks #anthonydavis #nba
Bukele has long framed Bitcoin as a tool for financial inclusion, arguing it could benefit the 70% of Salvadorans without access to traditional banking services.
Businesses were previously required to accept the cryptocurrency, a policy that met resistance from retailers wary of volatility.
Despite IMF pressure to limit Bitcoin’s role, the government has signaled it will continue accumulating Bitcoin.
Bukele’s administration has been buying Bitcoin daily since late 2022, using a dollar-cost averaging strategy.
!summarize #lukadnocic #dallas #mavericks #lalakers #nba
Paolo also discussed the company’s mission in El Salvador. He declared:
We are here to invest in the country. The tower is an example, but we want to hire a lot of people, because the tower has to be filled with people. We are already hiring to help us with compliance issues and technology departments.
Rumble, a company backed by Tether, is also looking to open offices in El Salvador and start hiring locally. It recently completed a deal with the local government to offer cloud computing services.
!summarize #deepseek #ai
Ardoino also highlighted the relevance of the nation’s stance on crypto in this context. “We need stability and an adequate regulatory framework, and El Salvador is one of the few countries that has truly understood the potential of digital assets,” Ardoino asseverated, justifying the move of its headquarters to El Salvador.
“It is the country of the future. I believe that El Salvador and Latin America will be one of the main spaces for the world’s future. Europe is in decline,” Ardoino concluded.
Heritable Architecture’s seeds were planted by founder and CEO, Brad Zamft. The physics PhD served as a program officer and fellow at the Bill & Melinda Gates Foundation before spending a year as the chief scientific officer at a venture-backed startup called TL Biolabs. Eight months later, in late 2018, Zamft joined Google X, quickly becoming the project lead of what would become Heritable.
“I was given broad purview to work on whatever I wanted, as long as it could scale to a Google-size business,” Zamft tells TechCrunch. “That was the mandate. The idea of how do we get better at optimizing plants stuck with me and it gained traction with the leadership. We did a very good job moving through the gauntlet that is Google X.”
!summarize #television #jimacost #chucktodd #media
Using machine learning, Heritable analyzes plant genomes to determine combinations that might improve yields, while lowering water consumption and raising carbon storage capacity. The models the company built were tested on thousands of plants, grown to those specifications within a “specialized growth chamber” at X’s Bay Area headquarters. The researchers also conducted field work at sites in California, Nebraska, and Wisconsin.
The company has no plans to explore mutagenesis, a GMO process that utilizes either chemicals or radiation to create crop mutations. Zamft adds, however, that CRISP-fueled gene editing will eventually play a role in making plants “programmable.” For now, however, Heritable is focused on more conventional methods.
!summarize #debt #unitedstates #finance
“We’re not developing gene-edited plants, and genetic modification is not on our roadmap,” says Zamft. “Gene editing may eventually come, but we’re seeing a huge, unmet need for identifying what to breed and then doing better breeding — crossing a mother and father plant, not using the biotechnology to actually develop the [crop].”
The executive adds that the team is most immediately focused on commercializing the technology. Zamft did not reveal anything in the way of specific timelines or commercial partners. He did note, however, that Heritable has fittingly raised a seed round, featuring FTW Ventures, Mythos Ventures, and SVG Ventures.
Google is an investor as well, with an undisclosed amount of equity in the young company.
!summarize #deepseek #opensource #ai
Google laid off dozens from X last January, as part of company-wide cuts. Under the leadership of lab head Astro Teller, the corporate incubator has begun to more aggressively spin off companies like Heritable.
!summarize #wallstreet #tsla #stock
Some of the unacceptable activities include:
AI used for social scoring (e.g., building risk profiles based on a person’s behavior).
AI that manipulates a person’s decisions subliminally or deceptively.
AI that exploits vulnerabilities like age, disability, or socioeconomic status.
AI that attempts to predict people committing crimes based on their appearance.
AI that uses biometrics to infer a person’s characteristics, like their sexual orientation.
AI that collects “real time” biometric data in public places for the purposes of law enforcement.
AI that tries to infer people’s emotions at work or school.
AI that creates — or expands — facial recognition databases by scraping images online or from security cameras.
From 25th to 29th, 83 hours, DeepSeek server cluster, received more than 230 million DDos malicious requests per second, the total amount of attacks is equivalent to three days of European network traffic combined. A number of Chinese Internet companies came to the rescue to defend against the attack, and this epic story of working together to fight against foreign enemies will be forever recorded in history as a barbaric invasion was stopped.
Companies that are found to be using any of the above AI applications in the EU will be subject to fines, regardless of where they are headquartered. They could be on the hook for up to €35 million (~$36 million), or 7% of their annual revenue from the prior fiscal year, whichever is greater.
“Organizations are expected to be fully compliant by February 2, but … the next big deadline that companies need to be aware of is in August,” Sumroy said. “By then, we’ll know who the competent authorities are, and the fines and enforcement provisions will take effect.”
!summarize #lukadoncic #trade #anthonydavis #lalakers #dallas #mavericks #nba
Preliminary pledges
The February 2 deadline is in some ways a formality.
Last September, over 100 companies signed the EU AI Pact, a voluntary pledge to start applying the principles of the AI Act ahead of its entry into application. As part of the Pact, signatories — which included Amazon, Google, and OpenAI — committed to identifying AI systems likely to be categorized as high risk under the AI Act.
Some tech giants, notably Meta and Apple, skipped the Pact. French AI startup Mistral, one of the AI Act’s harshest critics, also opted not to sign.
!summarize #nymets #mlb #joseiglesias
That isn’t to suggest that Apple, Meta, Mistral, or others who didn’t agree to the Pact won’t meet their obligations — including the ban on unacceptably risky systems. Sumroy points out that, given the nature of the prohibited use cases laid out, most companies won’t be engaging in those practices anyway.
“For organizations, a key concern around the EU AI Act is whether clear guidelines, standards, and codes of conduct will arrive in time — and crucially, whether they will provide organizations with clarity on compliance,” Sumroy said. “However, the working groups are, so far, meeting their deadlines on the code of conduct for … developers.”
We study empirical scaling laws for language model performance on the cross-entropy loss. The loss scales as a power-law with model size, dataset size, and the amount of compute used for training, with some trends spanning more than seven orders of magnitude. Other architectural details such as network width or depth have minimal effects within a wide range. Simple equations govern the dependence of overfitting on model/dataset size and the dependence of training speed on model size. These relationships allow us to determine the optimal allocation of a fixed compute budget. Larger models are significantly more sample-efficient, such that optimally compute-efficient training involves training very large models on a relatively modest amount of data and stopping significantly before convergence.
There are exceptions to several of the AI Act’s prohibitions.
For example, the Act permits law enforcement to use certain systems that collect biometrics in public places if those systems help perform a “targeted search” for, say, an abduction victim, or to help prevent a “specific, substantial, and imminent” threat to life. This exemption requires authorization from the appropriate governing body, and the Act stresses that law enforcement can’t make a decision that “produces an adverse legal effect” on a person solely based on these systems’ outputs.
!summarize #nba #lalakers #lukadoncic #anthonydavis #dallas #mavericks
No.1 No one said the total cost of Deepseek project is $6 million. They only said the cost of training model is $6 million; No 2. Distillation is legal, it is the standard technique in the AI industry. Everyone does the same. No. 3 Deepseek made it opensource and available for everyone to use. Therefore, you cannot label it as "stealing" because they did not keep it for themself. NO. 4 The main innovation is how Deepseek structure the GPUs for computing which made its efficiency ten time better than OpenAI. No one point that out. Recognizing its state of the art reasoning capabilities, Nvidia now offers Deepseek R1 model in its NIM microservices.
!summarize #meta #markzuckerberg #technology
The Act also carves out exceptions for systems that infer emotions in workplaces and schools where there’s a “medical or safety” justification, like systems designed for therapeutic use.
The European Commission, the executive branch of the EU, said that it would release additional guidelines in “early 2025,” following a consultation with stakeholders in November. However, those guidelines have yet to be published.
Sumroy said it’s also unclear how other laws on the books might interact with the AI Act’s prohibitions and related provisions. Clarity may not arrive until later in the year, as the enforcement window approaches.
!summarize #kansascity #chiefs #nfl #conspiracy #officiating
“It’s important for organizations to remember that AI regulation doesn’t exist in isolation,” Sumroy said. “Other legal frameworks, such as GDPR, NIS2, and DORA, will interact with the AI Act, creating potential challenges — particularly around overlapping incident notification requirements. Understanding how these laws fit together will be just as crucial as understanding the AI Act itself.”
!summarize #google #ai
Byte (B) - the basic unit of measurement
Kilobyte (KB) - 1,000 bytes or 1,024 bytes (depending on context)
Megabyte (MB) - 1,000 kilobytes or 1,048,576 bytes
Gigabyte (GB) - 1,000 megabytes or 1,073,741,824 bytes
Terabyte (TB) - 1,000 gigabytes or 1,099,511,627,776 bytes
Petabyte (PB) - 1,000 terabytes or 1,125,899,906,842,624 bytes
Exabyte (EB) - 1 billion gigabytes or 1,152,921,504,606,846,976 bytes
Zettabyte (ZB) - 1 trillion gigabytes or 1,180,
Yottabyte (YB) - 1 quadrillion gigabytes or
Keep in mind that when referring to digital information and computer storage specifically:
Kilobyte is often considered as being exactly 1024 bytes.
This means subsequent measurements follow this binary progression:
Megabyte = 1024 kilobytes,
Gigabyte = 1024 megabytes,
and so on for Terabyte and beyond.
However for general purposes like file sizes and data transfer rates both definitions can be used depending on what is being measured and who is doing the measuring
!summarize #tesla #fsd #china
!summarize #nba #trade #lukadoncic #dallas #Mavericks #anthonydavis #lalakers
!summarize #angelresse #unrivaled #basketball
!summarize #leftbehindwomen #china #relationships #families #marriage #fertility
!summarize #market #stocks #history #finance #investing
!summarize #kashpatel #tulsigabbard #nomination
“The majority of X’s advertising revenue today comes from small- and medium-sized businesses that are not GARM members or clients of GARM-member advertising agencies,” the complaint says. “As demand for advertising on X has declined as a result of the boycott, the price X’s remaining advertisers are willing to pay has declined as well.”
In fact, the lawsuit claims that ad prices on X “remain well below those charged by X’s closest competitors in the social media advertising market,” so “by refraining from purchasing advertising from X, boycotting advertisers are forgoing a valuable opportunity to purchase low-priced advertising inventory on a platform with brand safety that meets or exceeds industry standards.”
!summarize #divorce #relationships #marriage
!summarize #lucadoncic #nba #dallasmavericks #lalakers #anthonydavis
The lawsuit isn’t the only place where executives have offered a pessimistic assessment of X’s business. The company’s owner Elon Musk reportedly told employees in January that “user growth is stagnant, revenue is unimpressive, and we’re barely breaking even.”
!summarize #laplacedemon #philosophy #Physics #determinism