
Horoscope Today July 2, 2025: Virgo, Sagittarius, Pisces and other signs — check astrological predictions
The Moon spends its third successive day in a benevolent relationship with your sign, which is not a bad tally. Only the most determined of you will insist on seeing your problems as insurmountable. The only snag I can envisage is that you're just too sensitive by half.
The Moon's impact in a financial sector of your horoscope maintains the feeling that money is the most important consideration. However, this materialistic mood is purely temporary and, by tomorrow, you'll realise that life does indeed have a deeper purpose.
Your personal life is in danger of being turned upside down. But perhaps danger is not the right word, for many of you are ready for a change. If you know what's good for you, you'll welcome a friendly argument. You might also begin to plan domestic improvements.
Over the past few weeks, you appear to have veered between boredom and excessive activity, such is the way of the planet Mars. If someone close has tried to teach you a lesson or point out the error of your ways, I hope you have listened very carefully to their wise words.
A number of interesting planetary formations now relate to joint financial arrangements and business affairs. I hope you don't feel that someone in the past has let you down, because it doesn't look as if any wrong was intended. You can probably join together with like-minded people to correct past mistakes.
There's no doubt that the past few weeks have represented a turning point in your social attitudes. Eventually, I think you will see that your needs and expectations regarding intimate relationships have gone through a valuable sea-change. That's all part of being a modern Virgo!
Although you have a reputation for being generous, you may decide that enough is enough. It's not that anyone has been exploiting you recently, but the cumulative feeling that you've been taken for granted is about to become too great to bear.
Why don't you relax your efforts and allow others to do a bit of graft? Mercury's approaching relationship to Pluto singles you out as the master planner, and it's right that other people should do what they are told. It could be a couple of weeks before you find out whether they agree!
It is a pleasure to be able to report that the overwhelming impact of your solar alignments, and hence of the circumstances in which you find yourself, is auspicious. May I urge you not to squander your advantage by being over-emotional and impulsive, or by taking partners for granted.
If the stars have the measure of you today, they'll encourage you to hide away and keep yourself to yourself. Your privacy is an overwhelming priority and I don't think you'll take to people who presume too much. It's a day which favours poetry over practical tasks.
I often sense that one of your major problems is a deep lack of self-confidence but, if all goes according to plan, colleagues could be astounded by your new-found breadth of vision, optimism and self-assurance. And over the next two weeks, you'll be asserting your independence yet again.
Your lunar alignments offer you increased confidence and self-assurance. Once more, you'll have to figure out for yourself exactly what partners want. At times like these it does help to be a little telepathic, for others do seem to expect you to be a mind-reader!
Peter Vidal was a distinguished astrologer whose horoscopes have been a staple of The Indian Express for decades. Known for his straightforward and insightful astrological predictions, Peter cultivated a loyal readership that spans generations. His columns, written in a clear and accessible style, have become an essential part of readers' daily routines, offering guidance and inspiration.
Peter's legacy as an astrologer is remarkable not only for the accuracy of his predictions but also for his ability to connect with people from all walks of life. His approach to astrology was rooted in a blend of tradition and practicality, ensuring that his readers could relate to and apply his insights to their everyday challenges.
Although Peter Vidal passed away in the early 1990s, The Indian Express continues to publish horoscopes under his byline, preserving his iconic voice and influence. This enduring practice is a tribute to his exceptional contribution to astrology and his lasting impact on the newspaper's audience.
Beyond his horoscopes, Peter Vidal's name is synonymous with clarity, positivity, and wisdom. His work transcends time, continuing to inspire individuals to reflect, plan, and embrace opportunities with confidence. ... Read More

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Time of India
3 hours ago
- Time of India
Inside Meta's Superintelligence Lab: The scientists Mark Zuckerberg handpicked; the race to build real AGI
Mark Zuckerberg has rarely been accused of thinking small. After attempting to redefine the internet through the metaverse, he's now set his sights on a more ambitious frontier: superintelligence—the idea that machines can one day match, or even surpass, the general intelligence of humans. To that end, Meta has created an elite unit with a name that sounds like it belongs in a sci-fi script: Meta Superintelligence Lab (MSL). But this isn't fiction. It's a real-world, founder-led moonshot, powered by aggressive hiring, audacious capital, and a cast of technologists who've quietly shaped today's AI landscape. This is not just a story of algorithms and GPUs. It's about power, persuasion, and the elite brains Zuckerberg believes will push Meta into the next epoch of intelligence. The architects: Who's running Meta's AGI Ambitions? Zuckerberg has never been one to let bureaucracy slow him down. So he didn't delegate the hiring for MSL—he did it himself. The three minds now driving this initiative are not traditional corporate executives. They are product-obsessed builders, technologists who operate with startup urgency and almost missionary belief in Artificial general intelligence (AGI). Name Role at MSL Past Lives Education Alexandr Wang Chief AI Officer, Head of MSL Founder, Scale AI MIT dropout (Computer Science) Nat Friedman Co-lead, Product & Applied AI CEO, GitHub; Microsoft executive B.S. Computer Science & Math, MIT Daniel Gross (Joining soon, role TBD) Co-founder, Safe Superintelligence; ex-Apple, YC No degree; accepted into Y Combinator at 18 Wang, once dubbed the world's youngest self-made billionaire, is a data infrastructure prodigy who understands what it takes to feed modern AI. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like My baby is in so much pain, please help us? Donate For Health Donate Now Undo Friedman, a revered figure in the open-source community, knows how to productise deep tech. And Gross, who reportedly shares Zuckerberg's intensity, brings a perspective grounded in AI alignment and risk. Together, they form a high-agency, no-nonsense leadership core—Zuckerberg's version of a Manhattan Project trio. The Scientists: 11 defections that shook the AI world If leadership provides the vision, the next 11 are the ones expected to engineer it. In a hiring spree that rattled OpenAI, DeepMind, and Anthropic, Meta recruited some of the world's most sought-after researchers—those who helped build GPT-4, Gemini, and several of the most important multimodal models of the decade. Name Recruited From Expertise Education Jack Rae DeepMind LLMs, long-term memory in AI CMU, UCL Pei Sun DeepMind Structured reasoning (Gemini project) Tsinghua, CMU Trapit Bansal OpenAI Chain-of-thought prompting, model alignment IIT Kanpur, UMass Amherst Shengjia Zhao OpenAI Alignment, co-creator of ChatGPT, GPT-4 Tsinghua, Stanford Ji Lin OpenAI Model optimization, GPT-4 scaling Tsinghua, MIT Shuchao Bi OpenAI Speech-text integration Zhejiang, UC Berkeley Jiahui Yu OpenAI/Google Gemini vision, GPT-4 multimodal USTC, UIUC Hongyu Ren OpenAI Robustness and safety in LLMs Peking Univ., Stanford Huiwen Chang Google Muse, MaskIT – next-gen image generation Tsinghua, Princeton Johan Schalkwyk Sesame AI/Google Voice AI, led Google's voice search efforts Univ. of Pretoria Joel Pobar Anthropic/Meta Infrastructure, PyTorch optimization QUT (Australia) This roster isn't just impressive on paper—it's a coup. Several were responsible for core components of GPT-4's reasoning, efficiency, and voice capabilities. Others led image generation innovations like Muse or built memory modules crucial for scaling up AI's attention spans. Meta's hires reflect a global brain gain: most completed their undergrad education in China or India, and pursued PhDs in the US or UK. It's a clear signal to students—brilliance isn't constrained by geography. What Meta offered: Money, mission, and total autonomy Convincing this calibre of talent to switch sides wasn't easy. Meta offered more than mission—it offered unprecedented compensation. • Some were offered up to $300 million over four years. • Sign-on bonuses of $50–100 million were on the table for top OpenAI researchers. • The first year's payout alone reportedly crossed $100 million for certain hires. This level of compensation places them above most Fortune 500 CEOs—not for running a company, but for building the future. It's also part of a broader message: Zuckerberg is willing to spend aggressively to win this race. OpenAI's Sam Altman called it "distasteful." Others at Anthropic and DeepMind described the talent raid as 'alarming.' Meta, meanwhile, has made no apologies. In the words of one insider: 'This is the team that gets to skip the red tape. They sit near Mark. They move faster than anyone else at Meta.' The AGI problem: Bigger than just scaling up But even with all the talent and capital in the world, AGI remains the toughest problem in computer science. The goal isn't to make better chatbots or faster image generators. It's to build machines that can reason, plan, and learn like humans. Why is that so hard? • Generalisation: Today's models excel at pattern recognition, not abstract reasoning. They still lack true understanding. • Lack of theory: There is no grand unified theory of intelligence. Researchers are working without a blueprint. • Massive compute: AGI may require an order of magnitude more compute than even GPT-4 or Gemini. • Safety and alignment: Powerful models can behave in unexpected, even dangerous ways. Getting them to want what humans want remains an unsolved puzzle. To solve these, Meta isn't just scaling up—it's betting on new architectures, new training methods, and new safety frameworks. It's also why several of its new hires have deep expertise in AI alignment and multimodal reasoning. What this means for students aiming their future in AI This story isn't just about Meta. It's about the direction AI is heading—and what it takes to get to the frontier. If you're a student in India wondering how to break into this world, take notes: • Strong math and computer science foundations matter. Most researchers began with robust undergrad training before diving into AI. • Multimodality, alignment, and efficiency are key emerging areas. 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India.com
10 hours ago
- India.com
Meta owner Mark Zuckerberg spends Rs 1170000000000 to hire this man, his name is.., his expertise is to...
Mark Zuckerberg is making major moves to establish Meta's role in the fast-changing world of artificial intelligence (AI). In a big deal, he has partnered with a major player in the AI world who could help push Meta's AI aspirations further. To finalize this arrangement, it is reported that Zuckerberg invested a whopping $14 billion. According to the media reports that Meta has acquired a company named Scale AI. However, the truth is that Meta simply made a large investment in Scale AI-it didn't acquire the company. If it was an acquisition, then Meta would have had to buy all shares of Scale, and all employees would have had to either receive Meta stock or cash out in some manner. This did not happen. Instead, Meta invested $14 billion in Scale AI, which raised the valuation of Scale to $29 billion, and then made Meta's stake nearly 49%. Scale is still a separate company, and its board was unchanged. However, where there is this level of influence, it is very likely that the company is going to fall directly in line with Mark Zuckerberg's vision. Alexandr Wang is the founder and CEO of Scale AI, and he was critical to making this deal happen. Wang is joining Meta but will remain on the board of Scale. With Meta and Wang's combined stake, they have potential control of Scale AI now. To put it another way, for the foreseeable future, key decisions for Scale AI could practically be dictated by Meta. The deal was so large that some thought of Meta as buying the company outright. In fact, a significant amount of the capital ultimately went to Scale AI's employees because they were able to cash out their shares-partially, of course-but retain, and cash in, a percentage of their ownership. This allowed them to profit immediately while also staying invested in the company's future growth. It's said that this idea came from Alexandr Wang himself, ensuring that his team benefitted alongside him and didn't get left behind. The most interesting thing about this acquisition is that it seems like Meta is not truly interested in Scale AI's core businesses. Scale AI is primarily a data labeler—providing the prep work for training machine learning models, which is usually a human-intensive task. It is also a low-tech task and therefore low in innovation. Scale works a lot with big clients such as Toyota, General Motors, and various governments, who want to adopt AI, except have no idea how to build AI. For Meta, a tech of its size, Scale's business does not seem to quite fit either. Meta is not building a B2B data service business, and Scale's datasets are not valuable enough as datasets to warrant a deal on that level. The real purpose for the deal, it seems, Meta wanting to acquire Alexandr Wang, the CEO behind Scale AI. This is not unprecedented. Google invested in Character AI and lured some of their best employees onto their Gemini team. Microsoft did something similar with Inflection AI. So why is Alexandr Wang so significant? In the modern tech race, the player that builds the strongest large language models (LLMs) will win the game. It is a race to claim market territory. There remain many who claim they can build LLMs, but success is impossible without the right data, enormous compute, and the ability to scale. Users will always go with the highest-performing model. When it comes to this game, second best doesn't matter. Meta has not kept pace in the AI race to date. OpenAI has already claimed the consumer software market with ChatGPT, and Google and Anthropic are established developer players. Meta has models made like Llama 2, but they have not been able to put the flag in the ground claiming 'first' in what is becoming a heated market. To this point, Meta's play has been to keep it open-source, and this was enough to gather a broad audience of developers and researchers. Now, Meta understands open source can take them only so far. They need a visionary leader capable of defining their AI future; in this case, Alexander Wang is expected to be that leader. Meta is falling considerably behind in the AI race. OpenAI has taken the consumer space using ChatGPT, and Google and Anthropic have taken the developer space. While Meta has developed some models like Llama 2, its unable to stake a claim to the top of the competitive landscape. Meta's approach thus far has been to keep everything open-sourced, and that did help garner a large community of developers and researchers,. Nevertheless, the company now realizes it cannot simply rely on open source. They need a lossy visionary leader to mold their AI future, which is why Alex Wang is in the limelight.

The Hindu
10 hours ago
- The Hindu
Meta poaches top AI talent from OpenAI and DeepMind as Zuckerberg escalates AI push
The minds that brought you the conversational magic of ChatGPT and the multimodal power of Google's Gemini now have a new home: Meta. In a stunning talent exodus, captured in a single tweet by Meta's new AI chief, Alexandr Wang, the architects of the current AI revolution have been poached from OpenAI, Google DeepMind, and Anthropic. Mr. Alexandr's tweet is not merely a hiring announcement; it is a declaration of intent. By announcing his role as Chief AI Officer at Meta alongside Nat Friedman and a veritable 'who's who' of top-tier AI researchers, Mr. Alexandr and Meta were signaling a seismic shift in the technology landscape. This mass talent acquisition from rivals like OpenAI, Google DeepMind, and Anthropic is CEO Mark Zuckerberg's most audacious move yet to dominate the next technological frontier. It represents a calculated effort to bolster Meta's AI venture by poaching the very minds that built its competitors' greatest successes. However, this aggressive pivot towards superintelligence cannot be viewed in a vacuum. It is haunted by the ghosts of Meta's past — from the Cambridge Analytica scandal to the Instagram teen mental health crisis — forcing a critical examination of whether Zuckerberg has evolved from a disruptive force into a responsible steward for the age of AI. Why Meta's AI talent acquisition signals a new era The list of new hires is a strategic masterstroke — it's not just about adding headcount; it's about acquiring institutional knowledge and simultaneously weakening the competition. According to reports, Mr. Zuckerberg has personally handled these AI hires. And he has carefully picked top talent from all his rivals. From OpenAI, Meta has poached the creators behind GPT-4o's groundbreaking voice and multimodal capabilities and foundational model builder. Shengjia Zhao, the co-creator of ChatGPT and GPT-4, is now part of Meta. This is a significant loss to Sam Altman's AI company. From Google DeepMind, Mr. Zuckerberg has poached Jack Rae, the pre-training tech lead for Gemini 2.5, and other experts in the text-to-image generation. From Anthropic, Meta has poached Joel Pobar, the AI firm's inference expert. This talent raid provides Meta with some immediate advantages. First, it gives the company instant credibility that it quite serious about its AI bet as the new team has direct, hands-on experience building and training the world's most advanced models. Second, it disrupts the roadmaps of its competitors, forcing them to regroup and replace key personnel. Third, it creates a powerful gravitational pull for future talent, signaling that Meta is now the premier destination for ambitious AI work, backed by near-limitless computational resources and a direct path to impacting billions of users. Can Zuckerberg be trusted with the future of AI? This aggressive push into AI stands in stark contrast to the defining scandals of Zuckerberg's career. The Cambridge Analytica affair revealed a fundamental flaw in Facebook's DNA: a platform architecture that prioritized growth and data collection over user privacy and security, which was then exploited for political manipulation. The company's response was slow, defensive, and ultimately insufficient to repair the deep chasm of public trust. Then, 'The Facebook Files' exposé by The Wall Street Journal detailed internal research showing that Meta knew Instagram was toxic for the mental health of teenage girls. The company's leadership chose to downplay the findings and continue with product strategies that exacerbated these harms. Both incidents stem from the same root philosophy: 'move fast and break things,' a mantra that prioritizes scale and engagement above all else, with societal consequences treated as unfortunate but acceptable collateral damage. Applying this ethos to AI, a technology with far greater potential for both good and harm, is a terrifying prospect. If a social feed algorithm could destabilize democracies and harm teen self-esteem, what could a superintelligent agent, deployed to three billion users with the same growth-at-all-costs mindset, be capable of? Mr. Zuckerberg's past misadventures are not just historical footnotes; they are the core reason for public skepticism towards Meta's AI ambitions. How Zuckerberg has evolved from social media to superintelligence Mr. Zuckerberg's character, as observed through his actions over two decades, is one of relentless, almost singular, ambition. He has consistently demonstrated a willingness to be ruthless in competition (cloning Snapchat's features into Instagram Stories), a visionary in long-term bets (acquiring Instagram and WhatsApp, pivoting to the Metaverse), and an ability to withstand immense public and regulatory pressure. His critics would argue he is a leader who lacks a deep-seated ethical framework, often optimizing for power and market dominance while retroactively applying ethical patches only when forced by public outcry. His defenders might say he is a pragmatic engineer who is learning and adapting. The Cambridge Analytica scandal arguably forced him to mature from a hoodie-wearing coder into a global CEO who must at least speak the language of governance and responsibility. How Meta's AI super-team challenges OpenAI and Google The crucial question is whether this change is superficial or substantive. His current strategy with AI suggests a potential evolution. The open-sourcing of the Llama models can be interpreted in two ways. On one hand, it's a shrewd business move to commoditise the layer of the stack where OpenAI and Google have a strong lead, fostering an ecosystem dependent on Meta's architecture. On the other, it can be framed as a commitment to transparency and democratisation, a direct response to the 'black box' criticism leveled at his past operations. This new 'super-team' will be the ultimate test. Will they be fire-walled by a new ethical charter, or will the immense pressure from Mr. Zuckerberg to 'win' the AI race override all other considerations? How is Meta positioning itself for the AI age Against the closed, API-first models of OpenAI and the integrated-but-cautious approach of Google, Meta is carving out a unique strategic position. It is fighting the war on two fronts — by making Llama an open-source alternative, Meta is making itself the default foundation for thousands of startups, researchers, and developers, disrupting the business models of its rivals. Mr. Zuckerberg hasn't stopped with that, he has also publicly committed to acquiring hundreds of thousands of high-end NVIDIA GPUs, signaling that his company will not be outspent on compute. With the addition of this new team, Meta completes the trifecta: massive data, unparalleled compute, and now, world-leading human talent. The goal is no longer just to build a chatbot for Messenger or an image generator for Instagram. As Mr. Alexandr's tweet boldly states, the aim is 'Towards superintelligence.' This is a direct challenge to the stated missions of DeepMind and OpenAI. The formation of this AI super-team is the culmination of Mr. Zuckerberg's pivot from social media king to aspiring AI emperor. It is an act of immense strategic importance, one that immediately elevates Meta to the top tier of AI development. Yet, the success of this venture will not be measured solely by the capability of the models it produces. It will be measured by whether Mr. Zuckerberg can build an organization that has learned from the profound societal failures of its past. This is a defining gambit for Meta founder — a chance to redefine his legacy not as the creator of a divisive social network, but as the leader who responsibly ushered in the age of artificial intelligence.