<![CDATA[AiOwares - Information Technology]]>

<![CDATA[AiOwares - Information Technology]]> https://www.aiowares.com/ Thu, 15 Oct 2026 03:36:08 +0000 MyBB <![CDATA[MS Teams scams on the rise]]> https://www.aiowares.com/showthread.php?tid=8847 Mon, 20 Apr 2026 15:47:42 +0000 Uncombed1554]]> https://www.aiowares.com/showthread.php?tid=8847 The scam usually starts with an external Teams message about an "account issue" or "security fix", then pushes the user to open a remote session of some kind.
Once inside, they use legit tools like PowerShell and Windows Remote Management to move around the network, making it hard to spot anything suspicious. Data is then quietly collected and exfiltrated using tools like Rclone.

The tricky part is how normal everything looks this blends right into everyday IT activity.
Microsoft's advice is: treat external Teams messages with caution, especially if someone asks for remote access.

Has anyone here seen suspicious external Teams messages or unusual "IT support" requests lately?]]> The scam usually starts with an external Teams message about an "account issue" or "security fix", then pushes the user to open a remote session of some kind.
Once inside, they use legit tools like PowerShell and Windows Remote Management to move around the network, making it hard to spot anything suspicious. Data is then quietly collected and exfiltrated using tools like Rclone.

The tricky part is how normal everything looks this blends right into everyday IT activity.
Microsoft's advice is: treat external Teams messages with caution, especially if someone asks for remote access.

Has anyone here seen suspicious external Teams messages or unusual "IT support" requests lately?]]> <![CDATA[Elon Musk’s X Restructures Ahead of SpaceX IPO]]> https://www.aiowares.com/showthread.php?tid=8811 Fri, 27 Mar 2026 00:40:54 +0000 Sabre11]]> https://www.aiowares.com/showthread.php?tid=8811
Angela Zepeda, X’s marketing chief since September 2024, was let go last month after Musk announced xAI and SpaceX’s merger, people familiar with the matter said. Over the past few weeks, X let go of more than 20 staffers in nontechnical roles including marketing and other departments that were seen as duplicative to jobs inside the merged company, the people said.

X merged with xAI last year and xAI and SpaceX combined in early February.

Most of the remaining staff at X, in addition to concentrating on cost-cutting, have been told to focus on growing X’s revenue since xAI brought on a chief revenue officer, Jon Shulkin, some of the people said. Shulkin is also a partner at longtime Musk investor Valor Equity Partners. He is broadly looking to boost revenue for Musk’s social-media company and his artificial-intelligence startup, which both lag competitors in revenue for social-media ads and in enterprise AI sales, those people said.

X’s U.S. ad revenue is expected to grow 1.5% to $1.27 billion, while global ad sales are anticipated to rise 2.2% to $2.19 billion, according to estimates from Emarketer. In 2021, the last year in which X disclosed annual financials before Musk took the company private, Twitter said it generated $4.51 billion in advertising revenue.

The moves at X echo what’s happening elsewhere inside the company since the xAI-SpaceX merger. Several co-founders at xAI have since announced they were leaving the company and several teams have been restructured. That includes the “vision” team focused on video generation for xAI’s Grok, a person familiar with the matter said.

Major advertisers left the platform over content moderation concerns and turmoil stemming from the departure of senior X executives, but some started to increase spending on the platform after President Trump’s 2024 election, including Amazon, The Wall Street Journal has reported. Musk campaigned for Trump and donated more than $250 million to pro-Trump political groups before the election.

Since the departures of Zepeda and former X Chief Executive Linda Yaccarino, management of X has been delegated to Shulkin and Monique Pintarelli, xAI’s head of global advertising. Pintarelli announced her elevated role on LinkedIn about a month ago; she is now leading sales, content partnerships and marketing teams for the X platform.

The company is pushing ahead with plans to roll out X Money, a payments business within the social-media platform, some of the people familiar with the matter said. X Money has faced delays because of the need to set up operations compliant with money-services laws in all 50 states, such as customer-service operations, those people said. Musk said on X on March 10 that X Money would offer early public access next month.]]>
Angela Zepeda, X’s marketing chief since September 2024, was let go last month after Musk announced xAI and SpaceX’s merger, people familiar with the matter said. Over the past few weeks, X let go of more than 20 staffers in nontechnical roles including marketing and other departments that were seen as duplicative to jobs inside the merged company, the people said.

X merged with xAI last year and xAI and SpaceX combined in early February.

Most of the remaining staff at X, in addition to concentrating on cost-cutting, have been told to focus on growing X’s revenue since xAI brought on a chief revenue officer, Jon Shulkin, some of the people said. Shulkin is also a partner at longtime Musk investor Valor Equity Partners. He is broadly looking to boost revenue for Musk’s social-media company and his artificial-intelligence startup, which both lag competitors in revenue for social-media ads and in enterprise AI sales, those people said.

X’s U.S. ad revenue is expected to grow 1.5% to $1.27 billion, while global ad sales are anticipated to rise 2.2% to $2.19 billion, according to estimates from Emarketer. In 2021, the last year in which X disclosed annual financials before Musk took the company private, Twitter said it generated $4.51 billion in advertising revenue.

The moves at X echo what’s happening elsewhere inside the company since the xAI-SpaceX merger. Several co-founders at xAI have since announced they were leaving the company and several teams have been restructured. That includes the “vision” team focused on video generation for xAI’s Grok, a person familiar with the matter said.

Major advertisers left the platform over content moderation concerns and turmoil stemming from the departure of senior X executives, but some started to increase spending on the platform after President Trump’s 2024 election, including Amazon, The Wall Street Journal has reported. Musk campaigned for Trump and donated more than $250 million to pro-Trump political groups before the election.

Since the departures of Zepeda and former X Chief Executive Linda Yaccarino, management of X has been delegated to Shulkin and Monique Pintarelli, xAI’s head of global advertising. Pintarelli announced her elevated role on LinkedIn about a month ago; she is now leading sales, content partnerships and marketing teams for the X platform.

The company is pushing ahead with plans to roll out X Money, a payments business within the social-media platform, some of the people familiar with the matter said. X Money has faced delays because of the need to set up operations compliant with money-services laws in all 50 states, such as customer-service operations, those people said. Musk said on X on March 10 that X Money would offer early public access next month.]]> <![CDATA[Anthropic’s AI Hacked the Firefox Browser. It Found a Lot of Bugs.]]> https://www.aiowares.com/showthread.php?tid=8774 Sun, 08 Mar 2026 22:41:46 +0000 Sabre11]]> https://www.aiowares.com/showthread.php?tid=8774
The Anthropic team submitted it, and Firefox’s developers quickly wrote back: This bug was serious. Could they get on a call?

“What else do you have? Send us more,” said Brian Grinstead, an engineer with Mozilla, Firefox’s parent organization.

Anthropic did. Over a two-week period in January, Claude Opus 4.6 found more high-severity bugs in Firefox than the rest of the world typically reports in two months, Mozilla said.

Tools powered by AI are increasingly adept at spotting vulnerabilities and are beginning to rival the talents of seasoned security experts. Some experts worry that those same capabilities will unleash a new wave of cyberattacks as bugs are discovered and then exploited more quickly than ever before.

Claude’s bug bonanza began after Anthropic’s security team decided that it would be interesting to focus its software on a widely used and complex piece of browser software that has been under the microscope for years.

Firefox is the modern version of the Web’s first commercial browser, Netscape Navigator. Its code is now managed under the umbrella of the not-for-profit Mozilla Foundation. Navigator launched its first bug bounty program more than 30 years ago, offering cash to those who identify potential weaknesses that bad actors could abuse. Mozilla typically pays as much as $6,000 for high-severity bugs.

In the two weeks it was scanning, Claude discovered more than 100 bugs in total, 14 of which were considered “high severity.” That means that if the right “exploit code” had been created, they could have been used in a widespread attack on Firefox’s users.

Last year, Firefox patched 73 bugs that it rated as either high severity or critical.

AI tools are both a blessing and a curse for software developers. In January, the makers of Curl software abandoned their own bug bounty program, citing “an explosion in AI slop reports.” Fewer than one in 20 bugs reported in 2025 were actually real, said Daniel Stenberg, Curl’s lead developer

“The AI chatbots still easily hallucinate security problems,” Stenberg said. “But at the same time, there are quite capable AI-powered code analyzers that find real things,” he said.

Anthropic’s researchers didn’t send in everything that Claude unearthed, focusing only on examples that were reproducible, something that made it much easier for Mozilla’s team to confirm the bugs.

Anthropic’s researchers also asked Claude to build exploit code, but it proved to be much better at finding bugs than exploiting them, according to Logan Graham, the head of Anthropic’s Frontier Red Team, which evaluates Claude for risks. Claude did write two working exploits that worked on a test version of the browser, but they would have been stopped in the real world by Firefox’s other security mechanisms, Graham said.

Still, many security experts say that the speed at which AI systems are finding bugs and turning them into attack code is upending the way organizations defend themselves. “The current methods of cyber defense are not able to handle the speed and frequency of what is going on,” said Gadi Evron, chief executive of the AI cybersecurity firm Knostic.]]>
The Anthropic team submitted it, and Firefox’s developers quickly wrote back: This bug was serious. Could they get on a call?

“What else do you have? Send us more,” said Brian Grinstead, an engineer with Mozilla, Firefox’s parent organization.

Anthropic did. Over a two-week period in January, Claude Opus 4.6 found more high-severity bugs in Firefox than the rest of the world typically reports in two months, Mozilla said.

Tools powered by AI are increasingly adept at spotting vulnerabilities and are beginning to rival the talents of seasoned security experts. Some experts worry that those same capabilities will unleash a new wave of cyberattacks as bugs are discovered and then exploited more quickly than ever before.

Claude’s bug bonanza began after Anthropic’s security team decided that it would be interesting to focus its software on a widely used and complex piece of browser software that has been under the microscope for years.

Firefox is the modern version of the Web’s first commercial browser, Netscape Navigator. Its code is now managed under the umbrella of the not-for-profit Mozilla Foundation. Navigator launched its first bug bounty program more than 30 years ago, offering cash to those who identify potential weaknesses that bad actors could abuse. Mozilla typically pays as much as $6,000 for high-severity bugs.

In the two weeks it was scanning, Claude discovered more than 100 bugs in total, 14 of which were considered “high severity.” That means that if the right “exploit code” had been created, they could have been used in a widespread attack on Firefox’s users.

Last year, Firefox patched 73 bugs that it rated as either high severity or critical.

AI tools are both a blessing and a curse for software developers. In January, the makers of Curl software abandoned their own bug bounty program, citing “an explosion in AI slop reports.” Fewer than one in 20 bugs reported in 2025 were actually real, said Daniel Stenberg, Curl’s lead developer

“The AI chatbots still easily hallucinate security problems,” Stenberg said. “But at the same time, there are quite capable AI-powered code analyzers that find real things,” he said.

Anthropic’s researchers didn’t send in everything that Claude unearthed, focusing only on examples that were reproducible, something that made it much easier for Mozilla’s team to confirm the bugs.

Anthropic’s researchers also asked Claude to build exploit code, but it proved to be much better at finding bugs than exploiting them, according to Logan Graham, the head of Anthropic’s Frontier Red Team, which evaluates Claude for risks. Claude did write two working exploits that worked on a test version of the browser, but they would have been stopped in the real world by Firefox’s other security mechanisms, Graham said.

Still, many security experts say that the speed at which AI systems are finding bugs and turning them into attack code is upending the way organizations defend themselves. “The current methods of cyber defense are not able to handle the speed and frequency of what is going on,” said Gadi Evron, chief executive of the AI cybersecurity firm Knostic.]]> <![CDATA[How to Ace a Job Interview With an AI]]> https://www.aiowares.com/showthread.php?tid=8630 Mon, 23 Feb 2026 22:39:28 +0000 Sabre11]]> https://www.aiowares.com/showthread.php?tid=8630 As the use of artificial-intelligence tools in hiring continues to expand, it isn’t unusual for job candidates to be interviewed by an AI platform rather than a human—at least initially.
In these AI video interviews, candidates typically see a screen with a written question and their face in a camera frame with a prompt to respond via video. Sometimes the question will require a typed-in or multiple-choice response rather than a video answer.
Just like with any job interview, the questions can be both basic (“What does good customer service mean to you?” ) or technical (“[i]What approach would you take to identify the root cause of a $100,000 variance during the consolidation of three international subsidiaries?[/i]”).
You may have just one opportunity to rerecord an answer. If you flub that, there’s no taking it back. The platform usually provides no response beyond a matter-of-fact acknowledgment that your answer was submitted. But behind the scenes it is noting and scoring your answers for an assessment it will give to the hiring company. A human eventually reviews the submissions.
The experience can be awkward or unnerving for many candidates. So we consulted recruiters, career consultants and people who run AI hiring platforms for tips on how to ace an AI job interview. First off, they say, don’t act like a robot yourself. Here are some of their other tips:
1. Rehearse beforehand
Practice in the same manner in which you will be evaluated: on video with no one to look at and under time pressure. “AI is evaluating delivery, pacing, confidence and clarity, not just content,” says J.T. O’Donnell, chief executive of career-coaching site Work It Daily.
Candidates can easily fall into the trap of sounding too scripted or robotic because without facial cues from a human interviewer, they have no idea how their answers are being received.
“Even though candidates aren’t speaking to a person live, they should still prepare and communicate as if they are,” says Ben Sesser, chief executive officer of AI-interview platform BrightHire.
Record yourself answering six to eight common questions on topics such as leadership, conflict and customer handling, says Conor Grennan, CEO of AI consulting company AI Mindset. Then review the recording on mute, just watching your presence and body language. Next, play the recording audio-only, to listen for pacing, filler words and clarity. Finally, watch the video with sound on. Repeat until you feel you could respond this way in your sleep.

Some of the AI interview platforms offer practice sessions or coaches who work with job candidates in mock AI interviews.
2. Avoid keyword stuffing
Many applicants try to load their responses with keywords they think the algorithm wants to see. That’s a mistake, experts say.
“You want to use relevant industry terminology naturally, but don’t game it by just keyword stuffing,” says Keith Wolf, managing partner at recruiting firm Murray Resources, adding that “most AI systems are smart enough to detect when someone is being overly robotic.”
Indeed, Willo, a job-candidate assessment platform, says it uses AI detection technology to note when applicants are relying on AI or keywords in their responses to win over an algorithm.
Try to speak naturally—not too fast or for too long—and focus more on the structure and clarity of your answers than how many keywords are in them. It’s all right to show personality or use appropriate humor. “Expressing personality, tone or emotion doesn’t confuse the system, nor is it considered a mistake,” says Prem Kumar, CEO of AI interviewing platform Humanly.
As with any interview, provide specific examples of skills you have, how you have used those skills to solve a problem, metrics to back up what your resolution achieved and how you would use those same skill sets at the company, advises Tessa White, founder of career-consulting company the Job Doctor.
3. Maintain eye contact
Executives from AI interview platforms say the systems generally don’t score job candidates based on eye contact or facial expressions. But since a human eventually will review your interview, career consultants and recruiters advise looking directly at the camera when recording responses—in much the same way you would look at a human interviewer during an in-person interview.
It may feel awkward at first, but it “makes a huge difference in how engaged you appear” overall, says Wolf.
What’s more, some systems are trained to note if it appears a candidate is reading from notes or looking up answers. Looking away from the camera for extended periods could generate such concerns, says Teri Parker de Leon, executive director of the career management center at Duke University’s Fuqua School of Business. You don’t want to give the impression that you have a script or are cheating in some way.
4. Dress appropriately
AI platforms also don’t score candidates on attire, but career consultants and experts say dressing professionally for AI interviews can have its benefits.
“Your attire can be important for your general attitude and demeanor,” says Duke’s de Leon. “Putting on a suit or business-casual outfit may put you in the right ‘head space’ for the interview.”
In general, treat the video as if having a meeting with a human—after all, a human reviewer will see the video later. You wouldn’t show up to an in-person interview shirtless, would you?
5. Check your tech
This may be obvious but it bears repeating: Make sure you have a strong Wi-Fi connection, close tabs, turn notifications off and silence phones and other distractions before joining an AI interview.
“Muffled audio is fatal,” says Grennan of AI Mindset. “If the system can’t transcribe you accurately, you get a zero on that question.” He recommends using a headset or external microphone for best results.
Make sure you’re in a quiet environment. The number of candidates who don’t do such digital due-diligence “is quite alarming to me,” says Euan Cameron, CEO of Willo. “I’ve even seen people doing them in the car or doing them on a moving train,” he says. “These aren’t good ideas.”
An AI interviewer generally won’t take note of your background or lighting. Still, it’s probably best to avoid anything weird or embarrassing since a human reviewer eventually will see it.]]> As the use of artificial-intelligence tools in hiring continues to expand, it isn’t unusual for job candidates to be interviewed by an AI platform rather than a human—at least initially.
In these AI video interviews, candidates typically see a screen with a written question and their face in a camera frame with a prompt to respond via video. Sometimes the question will require a typed-in or multiple-choice response rather than a video answer.
Just like with any job interview, the questions can be both basic (“What does good customer service mean to you?” ) or technical (“[i]What approach would you take to identify the root cause of a $100,000 variance during the consolidation of three international subsidiaries?[/i]”).
You may have just one opportunity to rerecord an answer. If you flub that, there’s no taking it back. The platform usually provides no response beyond a matter-of-fact acknowledgment that your answer was submitted. But behind the scenes it is noting and scoring your answers for an assessment it will give to the hiring company. A human eventually reviews the submissions.
The experience can be awkward or unnerving for many candidates. So we consulted recruiters, career consultants and people who run AI hiring platforms for tips on how to ace an AI job interview. First off, they say, don’t act like a robot yourself. Here are some of their other tips:
1. Rehearse beforehand
Practice in the same manner in which you will be evaluated: on video with no one to look at and under time pressure. “AI is evaluating delivery, pacing, confidence and clarity, not just content,” says J.T. O’Donnell, chief executive of career-coaching site Work It Daily.
Candidates can easily fall into the trap of sounding too scripted or robotic because without facial cues from a human interviewer, they have no idea how their answers are being received.
“Even though candidates aren’t speaking to a person live, they should still prepare and communicate as if they are,” says Ben Sesser, chief executive officer of AI-interview platform BrightHire.
Record yourself answering six to eight common questions on topics such as leadership, conflict and customer handling, says Conor Grennan, CEO of AI consulting company AI Mindset. Then review the recording on mute, just watching your presence and body language. Next, play the recording audio-only, to listen for pacing, filler words and clarity. Finally, watch the video with sound on. Repeat until you feel you could respond this way in your sleep.

Some of the AI interview platforms offer practice sessions or coaches who work with job candidates in mock AI interviews.
2. Avoid keyword stuffing
Many applicants try to load their responses with keywords they think the algorithm wants to see. That’s a mistake, experts say.
“You want to use relevant industry terminology naturally, but don’t game it by just keyword stuffing,” says Keith Wolf, managing partner at recruiting firm Murray Resources, adding that “most AI systems are smart enough to detect when someone is being overly robotic.”
Indeed, Willo, a job-candidate assessment platform, says it uses AI detection technology to note when applicants are relying on AI or keywords in their responses to win over an algorithm.
Try to speak naturally—not too fast or for too long—and focus more on the structure and clarity of your answers than how many keywords are in them. It’s all right to show personality or use appropriate humor. “Expressing personality, tone or emotion doesn’t confuse the system, nor is it considered a mistake,” says Prem Kumar, CEO of AI interviewing platform Humanly.
As with any interview, provide specific examples of skills you have, how you have used those skills to solve a problem, metrics to back up what your resolution achieved and how you would use those same skill sets at the company, advises Tessa White, founder of career-consulting company the Job Doctor.
3. Maintain eye contact
Executives from AI interview platforms say the systems generally don’t score job candidates based on eye contact or facial expressions. But since a human eventually will review your interview, career consultants and recruiters advise looking directly at the camera when recording responses—in much the same way you would look at a human interviewer during an in-person interview.
It may feel awkward at first, but it “makes a huge difference in how engaged you appear” overall, says Wolf.
What’s more, some systems are trained to note if it appears a candidate is reading from notes or looking up answers. Looking away from the camera for extended periods could generate such concerns, says Teri Parker de Leon, executive director of the career management center at Duke University’s Fuqua School of Business. You don’t want to give the impression that you have a script or are cheating in some way.
4. Dress appropriately
AI platforms also don’t score candidates on attire, but career consultants and experts say dressing professionally for AI interviews can have its benefits.
“Your attire can be important for your general attitude and demeanor,” says Duke’s de Leon. “Putting on a suit or business-casual outfit may put you in the right ‘head space’ for the interview.”
In general, treat the video as if having a meeting with a human—after all, a human reviewer will see the video later. You wouldn’t show up to an in-person interview shirtless, would you?
5. Check your tech
This may be obvious but it bears repeating: Make sure you have a strong Wi-Fi connection, close tabs, turn notifications off and silence phones and other distractions before joining an AI interview.
“Muffled audio is fatal,” says Grennan of AI Mindset. “If the system can’t transcribe you accurately, you get a zero on that question.” He recommends using a headset or external microphone for best results.
Make sure you’re in a quiet environment. The number of candidates who don’t do such digital due-diligence “is quite alarming to me,” says Euan Cameron, CEO of Willo. “I’ve even seen people doing them in the car or doing them on a moving train,” he says. “These aren’t good ideas.”
An AI interviewer generally won’t take note of your background or lighting. Still, it’s probably best to avoid anything weird or embarrassing since a human reviewer eventually will see it.]]> <![CDATA[proton]]> https://www.aiowares.com/showthread.php?tid=8444 Sun, 01 Feb 2026 19:43:15 +0000 zaaahel]]> https://www.aiowares.com/showthread.php?tid=8444 <![CDATA[change to linux]]> https://www.aiowares.com/showthread.php?tid=8361 Thu, 22 Jan 2026 18:25:02 +0000 zaaahel]]> https://www.aiowares.com/showthread.php?tid=8361 <![CDATA[When will Windows 12 be released?]]> https://www.aiowares.com/showthread.php?tid=5296 Mon, 08 Apr 2024 08:13:07 +0000 fuxing99]]> https://www.aiowares.com/showthread.php?tid=5296 When will Windows 12 be released?

Windows 12 sounds better than Windows 11 24H2, but looking at the history of Windows releases, we can see that Microsoft has a habit of making mistakes after each success. So the name Windows 12 could be reserved for a later occasion.
Although there have been numerous leaks, including a Windows 12 ISO file being available on some websites at one point, it seems that Microsoft has postponed its release to the summer of 2025.
It seems that Microsoft will release Windows 11 version 24H2 in the following months (most likely in September 2024), but with this new version, Microsoft is introducing a new hardware requirement that will prevent incompatible systems from loading the OS.
Specifically, if the processor does not support the POPCNT instruction, Windows 11 version 24H2 will not load. This instruction requires processors that support SSE4.2 or SSE4a.
Windows users can check the compatibility of their processors using the CPU-Z application.

[Image: POPCNT.jpg]

Check the instructions supported on the CPU tab to find out which instructions the processor supports. If you see SSE4.2 or SSE4A, you should have no problems with Windows 11, version 24H2.]]> When will Windows 12 be released?

Windows 12 sounds better than Windows 11 24H2, but looking at the history of Windows releases, we can see that Microsoft has a habit of making mistakes after each success. So the name Windows 12 could be reserved for a later occasion.
Although there have been numerous leaks, including a Windows 12 ISO file being available on some websites at one point, it seems that Microsoft has postponed its release to the summer of 2025.
It seems that Microsoft will release Windows 11 version 24H2 in the following months (most likely in September 2024), but with this new version, Microsoft is introducing a new hardware requirement that will prevent incompatible systems from loading the OS.
Specifically, if the processor does not support the POPCNT instruction, Windows 11 version 24H2 will not load. This instruction requires processors that support SSE4.2 or SSE4a.
Windows users can check the compatibility of their processors using the CPU-Z application.

[Image: POPCNT.jpg]

Check the instructions supported on the CPU tab to find out which instructions the processor supports. If you see SSE4.2 or SSE4A, you should have no problems with Windows 11, version 24H2.]]> <![CDATA[You can use OpenAI ChatGPT without login now]]> https://www.aiowares.com/showthread.php?tid=5260 Wed, 03 Apr 2024 12:10:48 +0000 Aveao]]> https://www.aiowares.com/showthread.php?tid=5260

Code:
https://openai.com/blog/start-using-chatgpt-instantly

Code:
https://openai.com/blog/start-using-chatgpt-instantly

You can now use ChatGPT without login. However, the newer GPT 4.0 still requires login.
As it says, "It's core to our mission to make tools like ChatGPT broadly available so that people can experience the benefits of AI."

It seems like ChatGPT is more and more integrated to our lives. Without login ChatGPT will be like a search engine like Google.]]> <![CDATA[Breakthrough battery powers electric car for 1,000km from a single charge]]> https://www.aiowares.com/showthread.php?tid=4901 Sat, 06 Jan 2024 01:09:53 +0000 ursaborealis]]> https://www.aiowares.com/showthread.php?tid=4901
Shanghai-based Nio claims that the next-generation battery will enter mass production in April 2024, offering a longer range than any other electric or fuel-powered car currently on the market.

Nio chief executive William Li drove the all-electric ET7 vehicle 1,044km (649 miles) during a 14-hour live-stream, which saw the car travel from Zhejiang province to Fujian province on Sunday at an average speed of 84km/h. A separate test of the breakthrough battery reportedly saw it cover 1,145km, however this was not broadcast.

“The completion of this endurance challenge proves the product power of the 150kWh ultra-long endurance battery pack,” Mr Li wrote in a post on the Chinese social media site Weibo.

“This battery is currently the battery pack with the highest energy density in mass production in the world and has excellent safety performance. More importantly, all models on sale can be flexibly upgraded to 150kWh batteries through the Nio battery swap system.”

Nio takes an unorthodox approach to charging vehicles, favouring a battery-swap system rather than plugging the car into an outlet and waiting for the battery to recharge.

A unique mechanism built into the vehicle means that an empty battery can be swapped with a fully charged battery in less than three minutes – roughly the amount of time it takes to refill a fuel-powered vehicle.

Customers are able to buy a vehicle without a battery and then pay a monthly subscription fee to use batteries within Nio’s network.

Nio’s president Qin Lihong said that buying the new battery outright would cost 298,000 yuan (£33,000) – roughly equivalent to the price of a Tesla Model 3 – which is why the company advocates the use of a hire scheme for its customers as well as for the electric vehicle industry as a whole.

“NIO started battery swap from the very beginning, it has been ready to open up its technologies and infrastructure to the entire industry,” Mr Li said.

“Similar to the cloud service provided by Internet companies, NIO’s Power Swap network and Power Cloud also followed the path along which we started with developing infrastructure and achieving a closed loop internally, and then open to others after validating the service across various scenarios.”

The company revealed in November that it has provided more than 32 million battery swaps for users through its network of more than 2,000 Power Swap Stations worldwide.]]>
Shanghai-based Nio claims that the next-generation battery will enter mass production in April 2024, offering a longer range than any other electric or fuel-powered car currently on the market.

Nio chief executive William Li drove the all-electric ET7 vehicle 1,044km (649 miles) during a 14-hour live-stream, which saw the car travel from Zhejiang province to Fujian province on Sunday at an average speed of 84km/h. A separate test of the breakthrough battery reportedly saw it cover 1,145km, however this was not broadcast.

“The completion of this endurance challenge proves the product power of the 150kWh ultra-long endurance battery pack,” Mr Li wrote in a post on the Chinese social media site Weibo.

“This battery is currently the battery pack with the highest energy density in mass production in the world and has excellent safety performance. More importantly, all models on sale can be flexibly upgraded to 150kWh batteries through the Nio battery swap system.”

Nio takes an unorthodox approach to charging vehicles, favouring a battery-swap system rather than plugging the car into an outlet and waiting for the battery to recharge.

A unique mechanism built into the vehicle means that an empty battery can be swapped with a fully charged battery in less than three minutes – roughly the amount of time it takes to refill a fuel-powered vehicle.

Customers are able to buy a vehicle without a battery and then pay a monthly subscription fee to use batteries within Nio’s network.

Nio’s president Qin Lihong said that buying the new battery outright would cost 298,000 yuan (£33,000) – roughly equivalent to the price of a Tesla Model 3 – which is why the company advocates the use of a hire scheme for its customers as well as for the electric vehicle industry as a whole.

“NIO started battery swap from the very beginning, it has been ready to open up its technologies and infrastructure to the entire industry,” Mr Li said.

“Similar to the cloud service provided by Internet companies, NIO’s Power Swap network and Power Cloud also followed the path along which we started with developing infrastructure and achieving a closed loop internally, and then open to others after validating the service across various scenarios.”

The company revealed in November that it has provided more than 32 million battery swaps for users through its network of more than 2,000 Power Swap Stations worldwide.]]> <![CDATA[Will there be Cars using AI technology?]]> https://www.aiowares.com/showthread.php?tid=4642 Sat, 21 Oct 2023 16:31:09 +0000 slimansantoso]]> https://www.aiowares.com/showthread.php?tid=4642 <![CDATA[With Apple’s iPhone 15, the EU wins the charger war]]> https://www.aiowares.com/showthread.php?tid=4553 Wed, 13 Sep 2023 02:41:40 +0000 sudeha]]> https://www.aiowares.com/showthread.php?tid=4553 https://www.politico.eu/article/apple-ip...lightning/]]> https://www.politico.eu/article/apple-ip...lightning/]]> <![CDATA[Was Steve Jobs right about this?]]> https://www.aiowares.com/showthread.php?tid=4297 Wed, 26 Jul 2023 19:38:43 +0000 vidi]]> https://www.aiowares.com/showthread.php?tid=4297 Was Steve Jobs right about this?

Perhaps Steve Jobs was right to limit the amount of time he let his children use iPhones and iPads — a tradition Apple maintains with its Screen Time tool, which lets parents set limits on device use. Now, an extensive UNESCO report suggests that letting kids spend too much time on these devices can be bad for them.

Baked in inequality and lack of social skills

That’s the headline claim, but there’s a lot more to the report in terms of exploring data privacy, misuse of tech, and failed digital transformation experiments.

The report also suggests smartphones should be banned from schools to prevent cyberbullying and to improve learning outcomes. It says excessive use of these devices may be linked to reduced educational performance and could impact emotional stability among kids. That’s perhaps what tech leaders including Jobs and Microsoft’s Bill Gates already knew.

It seems particularly relevant — as employers everywhere flock to explore generative AI — that Unesco warns that it is critical to ensure digital tech supports humans, rather than replacing them. While that’s essential to society in general, in education it matters to ensure children grow up with good social skills.

A lot of potential, but risks cannot be ignored

“The digital revolution holds immeasurable potentia,l but just as warnings have been voiced for how it should be regulated in society, similar attention must be paid to the way it is used in education,” warns Unesco Director-General Audrey Azoulay. “Its use must be for enhanced learning experiences and for the well-being of students and teachers, not to their detriment. Keep the needs of the learner first and support teachers. Online connections are no substitute for human interaction.”

In particular, it warns that simply throwing tech at students does not improve learning outcomes if teachers don’t lead on using the devices. (This is effectively the same argument Apple’s former vice president for education, John Couch, always made.)

It also warns that children need to learn how to live both with and without tech to be effective and must learn how to approach digital information with a critical eye. Basic literacy is critical in an information age, the report warns, pointing out that those with better reading skills are far less likely to be duped by a phishing email, for example.

Children are being turned into data

But children are also being turned into data, while wider use of tech in education could well widen existing cultural and wealth barriers. When it comes to data, just 16% of countries guarantee data privacy in education by law, while as many as 89% of 163 education products could survey kids.

“Thirty-nine of 42 governments providing online education during the pandemic fostered uses that ‘risked or infringed’ on children’s rights," the report said.

It also warns of a potentially fatal skills gap. For example, most nations don’t yet give teachers adequate training on using digital tools in schools — and hardly any provide cybersecurity guidance. That's even as 5% of all the ransomware attacks occuring worldwide are aimed at the education sector.

It should be of particular concern that so many online tools aimed at children are inherently insecure. It’s an argument Apple has made for years, and a problem it seeks to challenge with app review and privacy warnings at the App Store.

Access is not equally shared

There’s a cultural dimension to digital education in that greater than 90% of higher educational content online is in English, which leaves non-English speaking cultures less able to access key tools. But even when teachers learn how to use and secure these technologies, and content is made available in local languages, access remains a major barrier to attainment.

During the COVID-19 pandemic, Unesco estimates more than half a billion children lost access to education because they lacked access to the internet and/or computing devices. It is interesting that this access to technology is precisely the challenge outgoing Jamf CEO Dean Hager now seeks to spend his life to resolve.

The report also warns against some of the more evangelical claims around tech in education, observing, “When the evidence only comes from the technology companies themselves, there is a risk it may be biased.”

And we aren’t yet ready for educational AI

As we prepare for the cultural impact of artificial intelligence (AI), Unesco observes a big weakness in government response. (That’s not entirely surprising, given the weak proposals governments have provided thus far.)

“Digital literacy and critical thinking are increasingly important, particularly with the growth of generative AI. Additional data attached to the report show that this adaptation movement has begun: 54% of surveyed countries have defined the skills they want to develop for the future. But only 11 out of 51 governments surveyed have curricula for AI,” the report claims.

Will AI prize the human? We still don't know.]]> Was Steve Jobs right about this?

Perhaps Steve Jobs was right to limit the amount of time he let his children use iPhones and iPads — a tradition Apple maintains with its Screen Time tool, which lets parents set limits on device use. Now, an extensive UNESCO report suggests that letting kids spend too much time on these devices can be bad for them.

Baked in inequality and lack of social skills

That’s the headline claim, but there’s a lot more to the report in terms of exploring data privacy, misuse of tech, and failed digital transformation experiments.

The report also suggests smartphones should be banned from schools to prevent cyberbullying and to improve learning outcomes. It says excessive use of these devices may be linked to reduced educational performance and could impact emotional stability among kids. That’s perhaps what tech leaders including Jobs and Microsoft’s Bill Gates already knew.

It seems particularly relevant — as employers everywhere flock to explore generative AI — that Unesco warns that it is critical to ensure digital tech supports humans, rather than replacing them. While that’s essential to society in general, in education it matters to ensure children grow up with good social skills.

A lot of potential, but risks cannot be ignored

“The digital revolution holds immeasurable potentia,l but just as warnings have been voiced for how it should be regulated in society, similar attention must be paid to the way it is used in education,” warns Unesco Director-General Audrey Azoulay. “Its use must be for enhanced learning experiences and for the well-being of students and teachers, not to their detriment. Keep the needs of the learner first and support teachers. Online connections are no substitute for human interaction.”

In particular, it warns that simply throwing tech at students does not improve learning outcomes if teachers don’t lead on using the devices. (This is effectively the same argument Apple’s former vice president for education, John Couch, always made.)

It also warns that children need to learn how to live both with and without tech to be effective and must learn how to approach digital information with a critical eye. Basic literacy is critical in an information age, the report warns, pointing out that those with better reading skills are far less likely to be duped by a phishing email, for example.

Children are being turned into data

But children are also being turned into data, while wider use of tech in education could well widen existing cultural and wealth barriers. When it comes to data, just 16% of countries guarantee data privacy in education by law, while as many as 89% of 163 education products could survey kids.

“Thirty-nine of 42 governments providing online education during the pandemic fostered uses that ‘risked or infringed’ on children’s rights," the report said.

It also warns of a potentially fatal skills gap. For example, most nations don’t yet give teachers adequate training on using digital tools in schools — and hardly any provide cybersecurity guidance. That's even as 5% of all the ransomware attacks occuring worldwide are aimed at the education sector.

It should be of particular concern that so many online tools aimed at children are inherently insecure. It’s an argument Apple has made for years, and a problem it seeks to challenge with app review and privacy warnings at the App Store.

Access is not equally shared

There’s a cultural dimension to digital education in that greater than 90% of higher educational content online is in English, which leaves non-English speaking cultures less able to access key tools. But even when teachers learn how to use and secure these technologies, and content is made available in local languages, access remains a major barrier to attainment.

During the COVID-19 pandemic, Unesco estimates more than half a billion children lost access to education because they lacked access to the internet and/or computing devices. It is interesting that this access to technology is precisely the challenge outgoing Jamf CEO Dean Hager now seeks to spend his life to resolve.

The report also warns against some of the more evangelical claims around tech in education, observing, “When the evidence only comes from the technology companies themselves, there is a risk it may be biased.”

And we aren’t yet ready for educational AI

As we prepare for the cultural impact of artificial intelligence (AI), Unesco observes a big weakness in government response. (That’s not entirely surprising, given the weak proposals governments have provided thus far.)

“Digital literacy and critical thinking are increasingly important, particularly with the growth of generative AI. Additional data attached to the report show that this adaptation movement has begun: 54% of surveyed countries have defined the skills they want to develop for the future. But only 11 out of 51 governments surveyed have curricula for AI,” the report claims.

Will AI prize the human? We still don't know.]]> <![CDATA[White House promises on AI regulation called 'vague' and 'disappointing']]> https://www.aiowares.com/showthread.php?tid=4285 Tue, 25 Jul 2023 21:27:20 +0000 vidi]]> https://www.aiowares.com/showthread.php?tid=4285 White House promises on AI regulation called 'vague' and 'disappointing'

US President Joe Biden's latest move to wrangle AI and keep Americans safe while also allowing innovation are not enforceable, meaning AI companies still have carte blanche to do what they want.

The "voluntary commitments" from seven leading AI tech companies to help limit safety, security, and trust risks associated with their ever-evolving technologies aren't worth the paper they could have been written on, according to tech industry experts.

On Friday, US President Joseph R. Biden Jr. said he met with representatives from Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI at the White House, and all committed to safety standards when developing AI technologies.

“The Biden-Harris Administration has secured voluntary commitments from these companies to help move toward safe, secure, and transparent development of AI technology,” a White House statement said. The agreements include “external” security testing of AI systems before their release, third-party discovery and reporting of vulnerabilities in their AI systems, and the use of watermarks to ensure users know when content is AI generated.

Despite the positive spin on the agreements from White House officials, they're unlikely to do much to rein in Ai development.

“The latest Biden effort to control AI risks by gaining voluntary unenforceable and relatively vague commitments from seven leading AI companies is disappointing,” said Avivah Litan, a vice president and distinguished analyst at Gartner Research. “It is more evidence that government regulators are wholly unequipped to keep up with fast-moving technology and protect their citizenry from the potentially disastrous consequences that can result from malicious or improper use."

In May, the Biden Administration met with many of the same AI developers and rolled out a so-called “AI Bill of Rights” for US citizens; those non-binding guidelines were an effort to offer guidance and begin a conversation at the national level about real and existential threats posed by generative AI technologies such as OpenAI's ChatGPT.

The White House has also indicated it is working on an executive order and pursuing bipartisan legislation to further responsible innovation and control the ability of China and other competitors to obtain new AI technology programs and their components, according to the The New York Times.

The executive order is expected to create new restrictions on advanced semiconductors and control the export of the large language models (LLMs). LLMs are computer algorithms that processes natural language inputs and independently generate images, video, and written content.

Ritu Jyoti, an IDC vice president of AI and Automation research, said that while the assurances from AI firms is a "great start," they must evolve into more concrete actions globally "and hopefully [the] White House's forthcoming executive order will better serve the commitments and have the impact we are looking for."

China has already released a comprehensive set of rules around the responsible public use of generative AI that become effective in August, representing much faster regulatory progress than has been made in the US, according to Litan.

“How China uses AI for its own national agenda is not addressed by these rules, and none of the GenAI frameworks today address international cooperation for the common global good,” Litan said. “The US needs to get its own act together before it can help lead a global effort that addresses the existential risks posed by AI.”

By default, rules governing the proper use of AI and safety measures must at minimum be an international effort because the technology is portable and isn't limited by geography or national borders, Litan said.

“We do have precedents for global agreements that mitigate existential risks — for example, with nuclear weapons and climate change. But those efforts, where the risks and controls are much clearer than they are with AI, are flawed as well. So, imagine the difficulty we will have in controlling AI risk at a global level,” she said.

In June, Senate Majority Leader Chuck Schumer, D-NY, announced the SAFE Innovation Framework, which calls for increased transparency and accountability involving AI technologies.

Schumer’s SAFE effort has a better chance of forcing AI companies to safeguard against misuse of their technology because Congress might, in fact, be able to pass laws that at least are enforceable and penalize those who violate them, according to Litan.

“Updates to US laws could potentially deter bad actors from inflicting harm via use of their AI models and applications,” she said. “Schumer has thoughtfully outlined the problems and a path forward for creating sensible helpful legislation. But Congress has a terrible track record when it comes to getting ahead of technology risks and passing helpful enforceable laws.”

Alex Ratner, CEO of Snorkel AI, a startup that helps companies develop LLMs, agreed with Litan that regulating AI will be difficult at best, as there are no longer one or two closed-source platforms; instead, many open-source variants have popped up that in some cases are even better than the proprietary ones.

"And the number of models is quickly climbing," Ratner said.

However, any attempts to control AI should be an industry-wide effort and not placed in the hands of "monopolies."

While efforts to put in place guardrails around AI are a good thing, they bring with them concerns that over-regulation could stifle innovation, according to Luis Ceze, a computer science professor at the University of Washington and CEO of AI model deployment platform OctoML.

The “cat,” Ceze noted, is out of the bag at this point and there are now many LLM libraries to choose from in creating generative AI platforms.

“We have an ecosystem of technologies to support these emerging models; we have hundreds of AI businesses that didn’t exist in 2022,” Ceze said in an email response to Computerworld. “I am a huge proponent of responsible AI. But it will require a surgical approach. It’s not just a single technology at stake; it’s a foundational building block that has the potential to advance healthcare and sciences.”]]> White House promises on AI regulation called 'vague' and 'disappointing'

US President Joe Biden's latest move to wrangle AI and keep Americans safe while also allowing innovation are not enforceable, meaning AI companies still have carte blanche to do what they want.

The "voluntary commitments" from seven leading AI tech companies to help limit safety, security, and trust risks associated with their ever-evolving technologies aren't worth the paper they could have been written on, according to tech industry experts.

On Friday, US President Joseph R. Biden Jr. said he met with representatives from Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI at the White House, and all committed to safety standards when developing AI technologies.

“The Biden-Harris Administration has secured voluntary commitments from these companies to help move toward safe, secure, and transparent development of AI technology,” a White House statement said. The agreements include “external” security testing of AI systems before their release, third-party discovery and reporting of vulnerabilities in their AI systems, and the use of watermarks to ensure users know when content is AI generated.

Despite the positive spin on the agreements from White House officials, they're unlikely to do much to rein in Ai development.

“The latest Biden effort to control AI risks by gaining voluntary unenforceable and relatively vague commitments from seven leading AI companies is disappointing,” said Avivah Litan, a vice president and distinguished analyst at Gartner Research. “It is more evidence that government regulators are wholly unequipped to keep up with fast-moving technology and protect their citizenry from the potentially disastrous consequences that can result from malicious or improper use."

In May, the Biden Administration met with many of the same AI developers and rolled out a so-called “AI Bill of Rights” for US citizens; those non-binding guidelines were an effort to offer guidance and begin a conversation at the national level about real and existential threats posed by generative AI technologies such as OpenAI's ChatGPT.

The White House has also indicated it is working on an executive order and pursuing bipartisan legislation to further responsible innovation and control the ability of China and other competitors to obtain new AI technology programs and their components, according to the The New York Times.

The executive order is expected to create new restrictions on advanced semiconductors and control the export of the large language models (LLMs). LLMs are computer algorithms that processes natural language inputs and independently generate images, video, and written content.

Ritu Jyoti, an IDC vice president of AI and Automation research, said that while the assurances from AI firms is a "great start," they must evolve into more concrete actions globally "and hopefully [the] White House's forthcoming executive order will better serve the commitments and have the impact we are looking for."

China has already released a comprehensive set of rules around the responsible public use of generative AI that become effective in August, representing much faster regulatory progress than has been made in the US, according to Litan.

“How China uses AI for its own national agenda is not addressed by these rules, and none of the GenAI frameworks today address international cooperation for the common global good,” Litan said. “The US needs to get its own act together before it can help lead a global effort that addresses the existential risks posed by AI.”

By default, rules governing the proper use of AI and safety measures must at minimum be an international effort because the technology is portable and isn't limited by geography or national borders, Litan said.

“We do have precedents for global agreements that mitigate existential risks — for example, with nuclear weapons and climate change. But those efforts, where the risks and controls are much clearer than they are with AI, are flawed as well. So, imagine the difficulty we will have in controlling AI risk at a global level,” she said.

In June, Senate Majority Leader Chuck Schumer, D-NY, announced the SAFE Innovation Framework, which calls for increased transparency and accountability involving AI technologies.

Schumer’s SAFE effort has a better chance of forcing AI companies to safeguard against misuse of their technology because Congress might, in fact, be able to pass laws that at least are enforceable and penalize those who violate them, according to Litan.

“Updates to US laws could potentially deter bad actors from inflicting harm via use of their AI models and applications,” she said. “Schumer has thoughtfully outlined the problems and a path forward for creating sensible helpful legislation. But Congress has a terrible track record when it comes to getting ahead of technology risks and passing helpful enforceable laws.”

Alex Ratner, CEO of Snorkel AI, a startup that helps companies develop LLMs, agreed with Litan that regulating AI will be difficult at best, as there are no longer one or two closed-source platforms; instead, many open-source variants have popped up that in some cases are even better than the proprietary ones.

"And the number of models is quickly climbing," Ratner said.

However, any attempts to control AI should be an industry-wide effort and not placed in the hands of "monopolies."

While efforts to put in place guardrails around AI are a good thing, they bring with them concerns that over-regulation could stifle innovation, according to Luis Ceze, a computer science professor at the University of Washington and CEO of AI model deployment platform OctoML.

The “cat,” Ceze noted, is out of the bag at this point and there are now many LLM libraries to choose from in creating generative AI platforms.

“We have an ecosystem of technologies to support these emerging models; we have hundreds of AI businesses that didn’t exist in 2022,” Ceze said in an email response to Computerworld. “I am a huge proponent of responsible AI. But it will require a surgical approach. It’s not just a single technology at stake; it’s a foundational building block that has the potential to advance healthcare and sciences.”]]> <![CDATA[SCIENTISTS WORKING ON MERGING AI WITH HUMAN BRAIN CELLS]]> https://www.aiowares.com/showthread.php?tid=4268 Mon, 24 Jul 2023 21:11:29 +0000 vidi]]> https://www.aiowares.com/showthread.php?tid=4268 SCIENTISTS WORKING ON MERGING AI WITH HUMAN BRAIN CELLS

"THIS NEW TECHNOLOGY CAPABILITY IN THE FUTURE MAY EVENTUALLY SURPASS THE PERFORMANCE OF EXISTING, PURELY SILICON-BASED HARDWARE."

Assuming Control

A team of researchers just got a $600,000 grant from Australia's Office of National Intelligence to study ways of merging human brain cells with artificial intelligence.

In collaboration with Melbourne-based startup Cortical Labs, the team has already successfully demonstrated how a cluster of roughly 800,000 brain cells in a Petri dish is capable of playing a game of "Pong."

The basic idea is to merge biology with AI, something that could forge new frontiers for machine learning tech for self-driving cars, autonomous drones, or delivery robots — or at least that's what the government is hoping to accomplish with its investment.

In Silico

And the researchers aren't shying away from making some bold claims about their work.

"This new technology capability in the future may eventually surpass the performance of existing, purely silicon-based hardware," said Adeel Razi, team lead and associate profess at Monarch University, in a statement.

"The outcomes of such research would have significant implications across multiple fields such as, but not limited to, planning, robotics, advanced automation, brain-machine interfaces, and drug discovery, giving Australia a significant strategic advantage," he added.

According to Razi, the tech could allow a machine intelligence to "learn throughout its lifetime" like human brain cells, allowing it to learn new skills without losing old ones, as well as applying existing knowledge to new tasks.

Razi and his colleagues are aiming to grow brain cells in a lab dish called the DishBrain system to investigate this process of "continual lifelong learning."

It's a highly ambitious project that will likely take quite some time to complete.

"We will be using this grant to develop better AI machines that replicate the learning capacity of these biological neural networks," Razi said. "This will help us scale up the hardware and methods capacity to the point where they become a viable replacement for in silico computing."]]> SCIENTISTS WORKING ON MERGING AI WITH HUMAN BRAIN CELLS

"THIS NEW TECHNOLOGY CAPABILITY IN THE FUTURE MAY EVENTUALLY SURPASS THE PERFORMANCE OF EXISTING, PURELY SILICON-BASED HARDWARE."

Assuming Control

A team of researchers just got a $600,000 grant from Australia's Office of National Intelligence to study ways of merging human brain cells with artificial intelligence.

In collaboration with Melbourne-based startup Cortical Labs, the team has already successfully demonstrated how a cluster of roughly 800,000 brain cells in a Petri dish is capable of playing a game of "Pong."

The basic idea is to merge biology with AI, something that could forge new frontiers for machine learning tech for self-driving cars, autonomous drones, or delivery robots — or at least that's what the government is hoping to accomplish with its investment.

In Silico

And the researchers aren't shying away from making some bold claims about their work.

"This new technology capability in the future may eventually surpass the performance of existing, purely silicon-based hardware," said Adeel Razi, team lead and associate profess at Monarch University, in a statement.

"The outcomes of such research would have significant implications across multiple fields such as, but not limited to, planning, robotics, advanced automation, brain-machine interfaces, and drug discovery, giving Australia a significant strategic advantage," he added.

According to Razi, the tech could allow a machine intelligence to "learn throughout its lifetime" like human brain cells, allowing it to learn new skills without losing old ones, as well as applying existing knowledge to new tasks.

Razi and his colleagues are aiming to grow brain cells in a lab dish called the DishBrain system to investigate this process of "continual lifelong learning."

It's a highly ambitious project that will likely take quite some time to complete.

"We will be using this grant to develop better AI machines that replicate the learning capacity of these biological neural networks," Razi said. "This will help us scale up the hardware and methods capacity to the point where they become a viable replacement for in silico computing."]]> <![CDATA[Elon Musk Follows Through With Radical Twitter Changes]]> https://www.aiowares.com/showthread.php?tid=4253 Sun, 23 Jul 2023 20:59:23 +0000 vidi]]> https://www.aiowares.com/showthread.php?tid=4253 Elon Musk Follows Through With Radical Twitter Changes

In a Tweet, of course, Elon Musk announces a major change to the Twitter brand and social media landscape.

Elon Musk acquired Twitter in a controversial transaction that cost him $44 billion. He later merged the social media company into an entity called X Corp.

Musk is not shy about the changes he wants to make at the company. He's also now looking for anyone, literally anyone, to come up with a new logo, calling out for new designs for X logos on his Twitter account. “If a good enough X logo is posted tonight, we’ll make go live worldwide tomorrow,” Musk tweeted.

Musk announced that the branded light blue bird would be bidding good-bye. The Twitter blue bird is one of the most recognizable assets of the company and an iconic logo.

"It should have been done a long time ago,” Musk said in a brief Twitter Spaces appearance, referring to changing the company's logo.

“We’re cutting the Twitter logo off the building with blowtorches,” he said. Everything he does is dramatic and with good reason. This comment is probably referring to the company's Twitter sign on the headquarters in San Francisco.

More Bold Changes Coming

Changing the most recognizable logo is usually a daunting task for an organization because it changes how consumers look at the product. However, in this case, Musk's takeover of Twitter has been widely publicized and his presence alone makes more readers take notice. It's unclear if the change will hurt Twitter.

Musk believes in making Twitter a subscription-based social media platform to boost the company's revenue.

Linda Yaccarino took over as CEO of Twitter in June and is working to mend relationships with advertisers.

Now Elon just updated the Twitter URL and is hinting at the new X logo.]]> Elon Musk Follows Through With Radical Twitter Changes

In a Tweet, of course, Elon Musk announces a major change to the Twitter brand and social media landscape.

Elon Musk acquired Twitter in a controversial transaction that cost him $44 billion. He later merged the social media company into an entity called X Corp.

Musk is not shy about the changes he wants to make at the company. He's also now looking for anyone, literally anyone, to come up with a new logo, calling out for new designs for X logos on his Twitter account. “If a good enough X logo is posted tonight, we’ll make go live worldwide tomorrow,” Musk tweeted.

Musk announced that the branded light blue bird would be bidding good-bye. The Twitter blue bird is one of the most recognizable assets of the company and an iconic logo.

"It should have been done a long time ago,” Musk said in a brief Twitter Spaces appearance, referring to changing the company's logo.

“We’re cutting the Twitter logo off the building with blowtorches,” he said. Everything he does is dramatic and with good reason. This comment is probably referring to the company's Twitter sign on the headquarters in San Francisco.

More Bold Changes Coming

Changing the most recognizable logo is usually a daunting task for an organization because it changes how consumers look at the product. However, in this case, Musk's takeover of Twitter has been widely publicized and his presence alone makes more readers take notice. It's unclear if the change will hurt Twitter.

Musk believes in making Twitter a subscription-based social media platform to boost the company's revenue.

Linda Yaccarino took over as CEO of Twitter in June and is working to mend relationships with advertisers.

Now Elon just updated the Twitter URL and is hinting at the new X logo.]]>