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THIS 'monster' will completely destroy Microsoft...: Elon Musk issues chilling warning to Satya Nadella after...

THIS 'monster' will completely destroy Microsoft...: Elon Musk issues chilling warning to Satya Nadella after...

India.com2 days ago
(File)
Tesla CEO Elon Musk has issued an ominous warning to Microsoft following OpenAI's release of GPT-5– its latest and most powerful AI model. Musk said this 'monster will eat Microsoft alive' after CEO Satya Nadella announced that the tech giant plans to fully integrate OpenAI's GPT-5 into his core systems. What did Elon Musk say?
Following the launch of GPT-5, Microsoft CEO Satya Nadella had lauded OpenAI's powerful new AI model in an X post. Responding to the post, Elon Musk warned that OpenAI's advanced AI model will 'eat Microsoft alive', even though the company played an important role in developing it.
Musk also plugged xAI's Grok 4 AI model, claiming that it had surpassed GPT-5 in terms of intelligence in just two weeks, adding that Grok 5 will be rolled by the end of 2025. Why Elon Musk warned Satya Nadella?
Elon Musk claimed that Microsoft, which has invested $13 billion in OpenAI, is dependent of the AI giant for integrating cutting-edge technology into its products using GPT-5, Musk noted that its products like Microsoft 365, Copilot, and GitHub Copilot would become outdated without OpenAI's tools.
The tech billionaire warned that OpenAI can become a major threat to Microsoft as it has become more powerful and can work with omplete independence.
Notably, Elon Musk played a key role in establishing OpenAI as an AI powerhouse when the company was in its nascent stage, however, the SpaceX CEO parted ways with the firm in 2018, and is now posing stiff competition AI majors with his xAI project and Grok AI model. How powerful is GPT-5
OpenAI recently launched GPT-5, its most most powerful AI model, which introduced significant changes to ChatGPT, API, and developer tools. According to the company, GPT-5 is designed to be smarter and more secure than its predecessor, and also introduces an integrated system that decides which allows the model to decided which GPT version will be best suited to the user based on task on queries they choose.
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Tesla shuts down its AI training supercomputer Dojo, loses 20 key execs to company founded by Ganesh Venkataramanan
Tesla shuts down its AI training supercomputer Dojo, loses 20 key execs to company founded by Ganesh Venkataramanan

Time of India

time5 hours ago

  • Time of India

Tesla shuts down its AI training supercomputer Dojo, loses 20 key execs to company founded by Ganesh Venkataramanan

Tesla is reportedly dissolving its Dojo supercomputer team, abandoning its in-house chip development for autonomous driving technology. According to a report by Bloomberg, - Tesla Inc. is disbanding its Dojo team and its leader will leave the company, according to people familiar with the matter, upending the automaker's effort to build an in-house supercomputer for developing driverless-vehicle technology. The Dojo shutdown coincides with Tesla's board offering Elon Musk a $29 billion compensation package to prioritize Tesla's AI goals over his other ventures, including xAI, a pure-play AI company. Meet DensityAI, AI startup founded by former Dojo head Ganesh Venkataramanan The move marks a significant pivot for the automaker, which has increasingly leaned on external partners like Nvidia, AMD, and Samsung for its AI and compute needs. Peter Bannon, the lead of the Dojo project, is leaving Tesla, and the remaining team members will reportedly be reassigned to other data center and compute initiatives within the company, the report said citing anonymous sources. The decision follows the exit of approximately 20 Dojo team members who left to form DensityAI, a new AI startup founded by former Dojo head Ganesh Venkataramanan , alongside ex-Tesla employees Bill Chang and Ben Floering. DensityAI is preparing to exit stealth mode and is focused on developing chips, hardware, and software to power AI-driven data centers for robotics, AI agents, and automotive applications. The startup aims to address high-performance computing needs with an emphasis on scalable, energy-efficient solutions for next-generation AI workloads. As Tesla recalibrates, DensityAI's emergence could reshape the AI hardware landscape, leveraging the expertise of former Dojo engineers to challenge established players in the AI data center space. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 75% off installation and replacement for LeafFilter LeafFilter Gutter Protection Get Rates Undo What makes shutting down of Dojo important The disbanding of Dojo comes at a pivotal moment for Tesla. CEO Elon Musk has been repositioning Tesla as an AI and robotics company, despite challenges with its limited robotaxi launch in Austin in June 2025. The launch, which involved Model Y vehicles with a human co-pilot, faced criticism after reports of erratic driving behavior. Dojo, first announced in 2019, was pitched as the backbone of Tesla's AI ambitions, particularly for achieving full self-driving (FSD) by processing vast amounts of video data. Musk highlighted Dojo as recently as Tesla's Q2 2025 earnings call, though his focus shifted to Cortex, a new AI training supercluster at Tesla's Austin headquarters. Dojo combined a supercomputer with Tesla's in-house D1 chip, unveiled at AI Day 2021. Presented by Venkataramanan, the D1 was designed to work alongside Nvidia GPUs to power Dojo, with a next-gen D2 chip planned to address data flow bottlenecks. In 2023, Morgan Stanley estimated Dojo could add $500 billion to Tesla's market value by enabling robotaxi services and software revenue. However, by August 2024, Musk's rhetoric pivoted to Cortex, signaling a strategic shift. Tesla is looking externally Tesla's reliance on external partners is growing. A $16.5 billion deal with Samsung, signed last month, will produce Tesla's AI6 inference chips, designed to scale from FSD and Optimus humanoid robots to high-performance AI training. Tesla is also deepening ties with Nvidia for compute power and AMD for additional chip solutions. During the Q2 earnings call, Musk hinted at streamlining efforts, suggesting convergence between Dojo 3 and the AI6 chip to avoid redundancies. AI Masterclass for Students. Upskill Young Ones Today!– Join Now

The difficult path for Trump's ‘one big budget bet'
The difficult path for Trump's ‘one big budget bet'

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time5 hours ago

  • The Hindu

The difficult path for Trump's ‘one big budget bet'

The most debated government downsizing reform that has been implemented in recent history has been the Department of Government Efficiency (DOGE) initiative under the Donald Trump administration in its second term. The initiative aims to reduce U.S. federal spending, deficit, debt and interest burden, streamline government operations, and enhance government efficiency. The initiative was much in the news with the appointment of Elon Musk, to advise and guide the government on the initiative, and his declaration that the overall goal is to achieve a leaner government by cutting the deficit and reducing the number of federal agencies from over 400 to 99. Root cause of deficit and debt The need for a smaller government was felt by the Trump administration due to enormous government spending and deficits. The size of the U.S. government, measured by public expenditure as a percentage of GDP, on average, was 36.49% from 2001 to 2024. Surprisingly, this was the smallest among the seven major advanced economies (MAE). France (56.53%) had the largest government, followed by Italy (49.81%), Germany (46.64%), Canada (41.24%), the United Kingdom (41.09%), and Japan (37.56%). The size of the government in the U.S. has remained the smallest among the MAE for most of the last 25 years. Yet, overall fiscal balance and government debt have been higher in the U.S. when compared to the MAE. In the triennium ending (TE) 2024, the U.S. had a fiscal balance and debt burden of (-)6.0% and 119.5% of GDP, respectively, compared to the figures of (-)4.1% and 108.6%, respectively, for the MAE. The underlying reason is the lower revenue collection in the U.S. The total revenue of the U.S. government as a percentage of GDP on an average was the lowest (30.55%) during the period 2001–2022 compared to France (51.48%), Italy (45.93%), Germany (44.93%), Canada (39.92%), and the U.K. (36.63%). Between 2001 and 2022, the U.S. has clocked the lowest tax-GDP ratio of 19.27% as against 28.59% for Italy, 28.12% for France, 27.99% for Canada, 26.89% for the U.K., 22.70% for Germany, and 32.74% for OECD countries. Initiatives and outcomes The several expenditure reforms the DOGE has implemented are the termination of unused federal government office space leases, cancellation of wasteful contracts, recovery of misallocated funds, federal workforce optimisation involving initiatives such as hiring restrictions, workforce reduction, and offering voluntary buyouts, deregulatory measures aimed at ensuring lawful governance and reducing red tape. There is also Artificial Intelligence-based monitoring of federal employee activity, productivity assessment, and detection of inefficiencies, identifying and consolidating overlapping functions across departments, and cutting down overseas humanitarian and development spending. DOGE follows a transparent communication strategy by publicly sharing updates (on X or DOGE's portal) on the outcomes. The total estimated expenditure savings from contract/lease cancellations and renegotiations, grant cancellations, fraud and improper payment detection and elimination, asset sales, employee reductions and regulatory changes have been $190 billion, which amounts to $1,180 per taxpayer. DOGE has made the distribution of government grants transparent through a payments portal, which allows citizens to see recipient-wise payments of federal grants. DOGE's Workforce Portal provides information on the agency-wise size of the U.S. government civilian workforce. To streamline layoffs, it has implemented the 'Workforce Reshaping Tool', a modernised version of the Pentagon's Automated Reduction in Force (AutoRIF) software, which assists in terminating federal employees based on criteria such as seniority and performance. So far, approximately 2,60,000 federal employees have been laid off, retired early, or accepted buyouts. Several federal regulations were repealed and modified, with a cost savings of $30.1 billion due to reduced regulatory compliance; also, 1.8 million words have been deleted from the rules of several Federal regulations. DOGE publishes a unique unconstitutionality index (UI) measuring the extent of bureaucracy's role in shaping federal policy. As per UI, for every law passed by Congress in 2024, there were about 19 rules created by the bureaucracy. The path ahead However, DOGE's journey has seen an unexpected turn after Elon Musk publicly disagreed with U.S. President Donald Trump over the provision incorporated in the much-debated One Big Beautiful Bill (OBBB) for removing tax credits offered to purchase electric vehicles. 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Sthanu R Nair teaches Economics and Public Policy at the Indian Institute of Management Kozhikode, Kerala. Pratik Sinha is a consultant for a multinational firm. He was an Assistant Director, Nehru Yuva Kendra Sangathan, Ministry of Youth Affairs and Sports, Government of India

Meet G Venkataraman who forced Elon Musk to shut down his shop, Musk will never forget this Indian genius due to...
Meet G Venkataraman who forced Elon Musk to shut down his shop, Musk will never forget this Indian genius due to...

India.com

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  • India.com

Meet G Venkataraman who forced Elon Musk to shut down his shop, Musk will never forget this Indian genius due to...

Ganesh Venkataraman left Elon Musk's Tesla and co-founded DestinyAI. (File) In a major setback for Elon Musk, Tesla has shuttered its Dojo supercomputer unit, reportedly after Ganesh Venkataramanan, an Indian-origin former Tesla executive, left the company and co-founded AI startup DestinyAI, along with other former top executives who quit Musk's auto firm. Why Elon Musk shut down Tesla Dojo? According to a Bloomberg report, Tesla is dissolving the team that was tasked with developing its Dojo supercomputer, after several top executives who worked on the project left the company and flocked to DestinyAI– an AI startup co-founded by former Tesla Dojo head honchos– Ganesh Venkataramanan, Bill Chang and Ben Floering. As per the report, Tesla's Dojo head Peter Bannon has also left the company, and is likely to join Venkataraman's DestinyAI. Earlier this month, Tesla took a major hit when around 20 members of its Dojo team left the company to establish DensityAI, an AI startup 'focused on data center services for industries from automotive to robotics.' Following the mass exodus, Tesla shifted the remaining Dojo employees to other areas within the company, Bloomberg reported. What did Tesla Dojo do? First introduced by Tesla CEO Elon Musk in 2019, the Dojo was described as a 'super powerful training computer', which would be capable of training AI chips by processing huge amounts of vehicle video data. These AI chips would be then used to power Tesla's patented 'Autopilot' technology that are installed in its self-driving cars. At the time, Tesla's Dojo was touted as the next big thing by market analysts, and was predicted to give the company a major lead in the sector, with Morgan Stanley estimating in 2023 that the project would increase the market cap of the Elon Musk-led automaker by a whopping $500 billion. How Tesla plans to proceed? However, after the recent turn of events, Tesla is planning to partner with chipmaking giants Nvidia and AMD for computing power, while a deal with Samsung is in the pipeline for chip manufacturing. 'It is not right for Tesla to spend its resources on two different AI chip designs. Tesla AI5, AI6 and subsequent chips will be very good for inference and also for training,' Elon Musk wrote on X, hinting that Tesla will now focus on AI chips that can run AI ​​systems used in cars with more precision and accuracy. Notably, Tesla has witnessed declining sales in recent times due to increased competition, and Elon Musk's political affiliations.

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