Your Hub for Tech News and Handy Online Tools.
Tesla plans to start producing the Cybercab, an autonomous electric vehicle without pedals or a steering wheel, in April at its Austin, Texas factory. CEO Elon Musk announced this during the company's shareholder meeting.
The Cybercab is designed for unsupervised, full self-driving with a focus on low cost-per-mile. The production line aims for a 10-second cycle time, potentially yielding 2 to 3 million units annually.
This initiative faces regulatory hurdles, as putting a vehicle without standard controls on the road requires federal approval. Tesla's plans contrast with chairwoman Robyn Denholm's suggestion of including a steering wheel and pedals as a backup.
Despite potential regulatory challenges, Musk expressed confidence in deploying the Cybercabs, citing Waymo's efforts in paving the way for autonomous vehicles.
Accel has invested in Rapido, the ride-hailing platform competing with Uber in India, while Prosus has increased its stake after TVS Motor sold its entire holding for ₹2.88 billion (about $32 million). Rapido, founded in 2015, has grown into a major player in India’s ride-hailing market, expanding from bike taxis to auto-rickshaw bookings, car services, and courier services. It is also piloting a food-delivery service. Accel's backing marks a return to India’s ride-hailing sector, while Prosus expanded its stake through a secondary share sale in September. Rapido is in talks with Accel and Prosus for a new primary funding round that could close next year.
The Laude Institute has launched its Slingshots program, providing grants to researchers to advance AI science and practice. This initiative offers resources like funding, compute power, and engineering support, not typically available in academic settings. In return, recipients commit to producing tangible outputs such as startups or open-source code.
The first group includes fifteen projects, emphasizing AI evaluation. Noteworthy projects include Terminal Bench and ARC-AGI, along with new approaches like FormulaCode and BizBench. Other grants focus on reinforcement learning and model compression. SWE-Bench co-founder John Boda Yang's CodeClash project will use a dynamic competition-based framework to assess code.
Yang emphasizes the importance of third-party benchmarks for driving progress, cautioning against company-specific benchmarks.
Tesla shareholders have overwhelmingly approved a compensation package for CEO Elon Musk that could be worth up to $1 trillion in company shares. More than 75% of participating shareholders voted in favor of the plan. The package is divided into 12 tranches based on operational, profit, and market capitalization goals. If achieved, Tesla's market capitalization would need to increase from $1.5 trillion to $8.5 trillion over a decade. The vote followed an aggressive campaign by Tesla and its board. The previous 2018 pay package was struck down by Delaware's Chancery Court, leading to this new proposal.
A recent report indicates that Meta estimates 10% of its annual revenue, around $16 billion, is derived from fraudulent ads.
The company reportedly allows ads promoting illegal gambling, investment schemes, and banned medical products to run for years.
Meta uses a system to detect potential scams but only deactivates accounts with 95% certainty of fraud, charging suspected scammers more instead.
Meta claims to have reduced user reports of scam ads by 58% and removed over 134 million scam ads in the last 18 months.
OpenAI executives, including CEO Sam Altman and CFO Sarah Friar, have addressed questions regarding the company's plans to finance its significant data center investments. Friar initially suggested the possibility of government "backstops" for infrastructure loans, but quickly retracted the statement following public criticism.
Altman clarified that OpenAI is not seeking government guarantees and believes governments should not favor specific companies. He mentioned discussions about loan guarantees for semiconductor fabs in the US but stated OpenAI has not formally applied.
Despite infrastructure commitments reaching $1.4 trillion over the next eight years, Altman expressed confidence in OpenAI's revenue prospects, projecting substantial growth through enterprise offerings, consumer devices, and robotics. The company anticipates exceeding $20 billion in annualized revenue this year and aims for hundreds of billions by 2030.