Kimi Antonelli is aiming to finish the Sao Paulo Grand Prix weekend “on a high” after taking P2 on the grid in Qualifying, meaning that he will again line up alongside polesitter Lando Norris as he did for Saturday’s Sprint.
Charles Leclerc was left pleasantly surprised after he secured third position on the grid for the Sao Paulo Grand Prix, marking a high point in what could have been a “disastrous” session for the Ferrari driver.
DRIVERS
1 – Lando NORRIS (McLaren)
2 – Kimi ANTONELLI (Mercedes)
3 – Charles LECLERC (Ferrari)
Lando Norris demonstrated why he is at the top of the standings as he bounced back from an error to snatch pole position in Sao Paulo on his final attempt, denying Kimi Antonelli and Charles Leclerc in a tense session.
Lando Norris surged to pole position in a remarkably close Qualifying hour in Sao Paulo, beating Kimi Antonelli and Charles Leclerc in a thrilling session.
Lando Norris grabbed pole for the Grand Prix in Sao Paulo for the second straight year, having already bagged the P1 starting slot for the Sprint. The McLaren man is having a very solid weekend, but he is not the only one impressing. Here are some of the best facts and stats from Qualifying in Brazil…
Lando Norris pulled through at the final opportunity to snatch pole position from his rivals in a close-fought session in Sao Paulo, admitting that the upcoming Grand Prix will be a far greater challenge than his most recent dominant victory.
Lewis Hamilton cut a frustrated figure after Qualifying for the Sao Paulo Grand Prix, with the Ferrari driver falling at the Q2 hurdle.
Lando Norris will line up in pole position for the Sao Paulo Grand Prix, the Briton setting the pace in a fascinating Qualifying session that saw Max Verstappen make a shock Q1 exit.
In a Qualifying session full of talking points, Max Verstappen’s early exit in Q1 was one of the biggest shocks around Interlagos, with the Red Bull driver labelling it another sign of a “tough weekend”.
A former Business Analyst reportedly filed a class action lawsuit claiming that for years, hundreds of remote employees at Bank of America first had to boot up complex computer systems before their paid work began, reports Human Resources Director magazine:
Tava Martin, who worked both remotely and at the company's Jacksonville facility, says the financial institution required her and fellow hourly workers to log into multiple security systems, download spreadsheets, and connect to virtual private networks — all before the clock started ticking on their workday. The process wasn't quick. According to the filing in the United States District Court for the Western District of North Carolina, employees needed 15 to 30 minutes each morning just to get their systems running. When technical problems occurred, it took even longer...
Workers turned on their computers, waited for Windows to load, grabbed their cell phones to request a security token for the company's VPN, waited for that token to arrive, logged into the network, opened required web applications with separate passwords, and downloaded the Excel files they needed for the day. Only then could they start taking calls from business customers about regulatory reporting requirements...
The unpaid work didn't stop at startup. During unpaid lunch breaks, many systems would automatically disconnect or otherwise lose connection, forcing employees to repeat portions of the login process — approximately three to five minutes of uncompensated time on most days, sometimes longer when a complete reboot was required. After shifts ended, workers had to log out of all programs and shut down their computers securely, adding another two to three minutes.
Thanks to Slashdot reader Joe_Dragon for sharing the article.
Tava Martin, who worked both remotely and at the company's Jacksonville facility, says the financial institution required her and fellow hourly workers to log into multiple security systems, download spreadsheets, and connect to virtual private networks — all before the clock started ticking on their workday. The process wasn't quick. According to the filing in the United States District Court for the Western District of North Carolina, employees needed 15 to 30 minutes each morning just to get their systems running. When technical problems occurred, it took even longer...
Workers turned on their computers, waited for Windows to load, grabbed their cell phones to request a security token for the company's VPN, waited for that token to arrive, logged into the network, opened required web applications with separate passwords, and downloaded the Excel files they needed for the day. Only then could they start taking calls from business customers about regulatory reporting requirements...
The unpaid work didn't stop at startup. During unpaid lunch breaks, many systems would automatically disconnect or otherwise lose connection, forcing employees to repeat portions of the login process — approximately three to five minutes of uncompensated time on most days, sometimes longer when a complete reboot was required. After shifts ended, workers had to log out of all programs and shut down their computers securely, adding another two to three minutes.
Thanks to Slashdot reader Joe_Dragon for sharing the article.
Read more of this story at Slashdot.
The Associated Press reports that "For the past decade, Dr. Priscilla Chan and her husband Mark Zuckerberg have focused part of their philanthropy on a lofty goal — 'to cure, prevent or manage all disease' — if not in their lifetime, then in their children's."
During that decade they also funded other initiatives (including underprivileged schools and immigration reform), according to the article. But there's a change coming:
Now, the billionaire couple is shifting the bulk of their philanthropic resources to Biohub, the pair's science organization, and focusing on using artificial intelligence to accelerate scientific discovery. The idea is to develop virtual, AI-based cell models to understand how they work in the human body, study inflammation and use AI to "harness the immune system" for disease detection, prevention and treatment. "I feel like the science work that we've done, the Biohub model in particular, has been the most impactful thing that we have done. So we want to really double down on that. Biohub is going to be the main focus of our philanthropy going forward," Zuckerberg said Wednesday evening at an event at the Biohub Imaging Institute in Redwood City, California.... Chan and Zuckerberg have pledged 99% of their lifetime wealth — from shares of Meta Platforms, where Zuckerberg is CEO — toward these efforts...
On Thursday, Chan and Zuckerberg also announced that Biohub has hired the team at EvolutionaryScale, an AI research lab that has created large-scale AI systems for the life sciences...
Biohub's ambition for the next years and decades is to create virtual cell systems that would not have been possible without recent advances in AI. Similar to how large language models learn from vast databases of digital books, online writings and other media, its researchers and scientists are working toward building virtual systems that serve as digital representations of human physiology on all levels, such as molecular, cellular or genome. As it is open source — free and publicly available — scientists can then conduct virtual experiments on a scale not possible in physical laboratories.
"We will continue the model we've pioneered of bringing together scientists and engineers in our own state-of-the-art labs to build tools that advance the field," according to Thursday's blog post. "We'll then use those tools to generate new data sets for training new biological AI models to create virtual cells and immune systems and engineer our cells to detect and treat disease....
"We have also established the first large-scale GPU cluster for biological research, as well as the largest datasets around human cell types. This collection of resources does not exist anywhere else."
During that decade they also funded other initiatives (including underprivileged schools and immigration reform), according to the article. But there's a change coming:
Now, the billionaire couple is shifting the bulk of their philanthropic resources to Biohub, the pair's science organization, and focusing on using artificial intelligence to accelerate scientific discovery. The idea is to develop virtual, AI-based cell models to understand how they work in the human body, study inflammation and use AI to "harness the immune system" for disease detection, prevention and treatment. "I feel like the science work that we've done, the Biohub model in particular, has been the most impactful thing that we have done. So we want to really double down on that. Biohub is going to be the main focus of our philanthropy going forward," Zuckerberg said Wednesday evening at an event at the Biohub Imaging Institute in Redwood City, California.... Chan and Zuckerberg have pledged 99% of their lifetime wealth — from shares of Meta Platforms, where Zuckerberg is CEO — toward these efforts...
On Thursday, Chan and Zuckerberg also announced that Biohub has hired the team at EvolutionaryScale, an AI research lab that has created large-scale AI systems for the life sciences...
Biohub's ambition for the next years and decades is to create virtual cell systems that would not have been possible without recent advances in AI. Similar to how large language models learn from vast databases of digital books, online writings and other media, its researchers and scientists are working toward building virtual systems that serve as digital representations of human physiology on all levels, such as molecular, cellular or genome. As it is open source — free and publicly available — scientists can then conduct virtual experiments on a scale not possible in physical laboratories.
"We will continue the model we've pioneered of bringing together scientists and engineers in our own state-of-the-art labs to build tools that advance the field," according to Thursday's blog post. "We'll then use those tools to generate new data sets for training new biological AI models to create virtual cells and immune systems and engineer our cells to detect and treat disease....
"We have also established the first large-scale GPU cluster for biological research, as well as the largest datasets around human cell types. This collection of resources does not exist anywhere else."
Read more of this story at Slashdot.
Long-time Slashdot reader AmiMoJo shared this report from Marine Insight:
The world's largest cargo sailboat, Neoliner Origin, completed its first transatlantic voyage on 30 October despite damage to one of its sails during the journey. The 136-metre-long vessel had to rely partly on its auxiliary motor and its remaining sail after the aft sail was damaged in a storm shortly after departure... Neoline, the company behind the project, said the damage reduced the vessel's ability to perform fully on wind power...
The Neoliner Origin is designed to reduce greenhouse gas emissions by 80 to 90 percent compared to conventional diesel-powered cargo ships. According to the United Nations Conference on Trade and Development (UNCTAD), global shipping produces about 3 percent of worldwide greenhouse gas emissions...
The ship can carry up to 5,300 tonnes of cargo, including containers, vehicles, machinery, and specialised goods. It arrived in Baltimore carrying Renault vehicles, French liqueurs, machinery, and other products. The Neoliner Origin is scheduled to make monthly voyages between Europe and North America, maintaining a commercial cruising speed of around 11 knots.
The world's largest cargo sailboat, Neoliner Origin, completed its first transatlantic voyage on 30 October despite damage to one of its sails during the journey. The 136-metre-long vessel had to rely partly on its auxiliary motor and its remaining sail after the aft sail was damaged in a storm shortly after departure... Neoline, the company behind the project, said the damage reduced the vessel's ability to perform fully on wind power...
The Neoliner Origin is designed to reduce greenhouse gas emissions by 80 to 90 percent compared to conventional diesel-powered cargo ships. According to the United Nations Conference on Trade and Development (UNCTAD), global shipping produces about 3 percent of worldwide greenhouse gas emissions...
The ship can carry up to 5,300 tonnes of cargo, including containers, vehicles, machinery, and specialised goods. It arrived in Baltimore carrying Renault vehicles, French liqueurs, machinery, and other products. The Neoliner Origin is scheduled to make monthly voyages between Europe and North America, maintaining a commercial cruising speed of around 11 knots.
Read more of this story at Slashdot.
SÃO PAULO (ANP) - Lando Norris heeft in de Formule 1 de poleposition veroverd voor de Grote Prijs van São Paulo in Brazilië. De Britse coureur van McLaren was in de kwalificatie sneller dan de Italiaan Kimi Antonelli in de Mercedes en de Monegask Charles Leclerc in de Ferrari. Zijn Australische teamgenoot Oscar Piastri zette de vierde tijd neer.
Max Verstappen moet de race op het Autódromo José Carlos Pace in Brazilië beginnen vanaf de zestiende positie. Het was voor het eerst sinds de Grote Prijs van Rusland in Sotsji in 2021 dat Verstappen de tweede kwalificatiesessie niet haalde. Een jaar eerder bleef Verstappen in São Paulo steken op de twaalfde plaats in de kwalificatie en ging hij na een tijdstraf uiteindelijk van start vanaf de zeventiende positie. Hij wist de chaotische regenrace toen alsnog te winnen.
Norris had eerder zaterdag de sprintrace gewonnen. Daarvoor had hij zich ook gekwalificeerd met de beste tijd. Door de zege in de sprintrace heeft de Brit in de strijd om de wereldtitel 9 punten meer dan Piastri. Verstappen heeft 39 punten minder dan Norris.
Sprintrace
Verstappen was er een dag eerder al niet in geslaagd zich vooraan te kwalificeren voor de sprintrace. Toen werd hij zesde. Na de sprintrace, waarin hij als vierde eindigde, zei hij dat hij hoopte dat er nog wat kon worden aangepast aan de afstelling, waardoor hij meer grip zou hebben. Dat lukte niet. Teamgenoot Yuki Tsunoda uit Japan kwam ook niet verder dan de negentiende plaats in de kwalificatie.
De Fransman Isack Hadjar zette in de Racing Bull de vijfde tijd neer in de kwalificatie. Zijn Nieuw-Zeelandse teamgenoot Liam Lawson start vanaf de zevende plaats. Zevenvoudig wereldkampioen Lewis Hamilton uit Groot-Brittannië kwam in de Ferrari niet verder dan de dertiende plaats.
De Grote Prijs van São Paulo begint zondag om 18.00 uur (Nederlandse tijd).
