Zuckerberg outlines plan to create personal superintelligence
The lengthy memo by Zuckerberg was issued before the company's Q2 earnings results. He stated people should be able to use AI superintelligence to achieve their personal goals.
'Meta's vision is to bring personal superintelligence to everyone,' he said. 'We believe in putting this power in people's hands to direct it towards what they value in their own lives.'
The CEO contrasted Meta's approach as 'distinct from others in the industry who believe superintelligence should be directed centrally towards automating all valuable work, and then humanity will live on a dole of its output'.
While he did not define what superintelligence is, or how the company will develop it, Meta's plan to deliver it will include products such as augmented reality glasses and virtual reality headsets.
'Meta believes strongly in building personal superintelligence that empowers everyone,' he explained. 'We have the resources and the expertise to build the massive infrastructure required'. He added it would deliver the 'new technology to billions of people across our products.'
Meta has long touted its open-source Llama models as a key differentiator compared to AI rivals OpenAI, Microsoft, Google, and xAI.
'We believe the benefits of superintelligence should be shared with the world as broadly as possible. That said, superintelligence will raise novel safety concerns. We'll need to be rigorous about mitigating these risks and careful about what we choose to open source.'
Zuckerberg was asked on the Q2 earnings call whether the move to personal superintelligence means the company is no longer a big proponent of open source for its AI models.
'I don't think that our thinking has particularly changed on this,' he said. 'We've always open sourced some of our models and not open sourced everything that we've done.'
He said there are several trends playing out related to AI models, including some of them being too big to share with others.
'We kind of wrestle with whether it's productive or helpful to share that or if that's really just primarily helping competitors,' he said. 'As you approach real superintelligence, I think there's a whole different set of safety concerns that I think we need to take very seriously. But I think the bottom line is, I would expect that we will continue open sourcing work'.
The AI superintelligence manifesto follows Zuckerberg's formation of a Meta Superintelligence Labs (MSL) team in early July to boost the company's AI efforts while competing against rivals including Microsoft, Google, OpenAI and xAI.
Source: Mobile World Live
Image Credit: Stock Image
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Gulf Today
14 minutes ago
- Gulf Today
Coal-powered AI robots are a dirty fantasy
Liam Denning, Tribune News Service The same day President Donald Trump launched his AI Action Plan, his Energy Secretary Chris Wright pulled federal support for a power project with ties to renewable energy that could help that plan. Not coincidentally, Trump instructed Wright at his AI summit that he must say 'clean, beautiful' before any mention of the word 'coal' and that the US must compete with China's construction of new coal-fired plants. Possibly the only thing more bizarre than Trump's enforced catch-phrasing is his vision of 21st century robots running on a power technology that hasn't been cutting-edge since the days of Thomas Edison. Coal has long been a political prop for Trump, but this has taken on greater significance in his second term, with a naked assault on both the regulation of greenhouse gas emissions and zero-carbon technologies (nuclear power excepted). When coal isn't being touted as beautiful or clean, it is pitched as reliable and cheap, and due for a comeback if freed from overbearing rules. This is a fantasy, and a bleak one at that, not just for the climate but also that AI plan. You don't need a conspiracy theory to explain coal's decline in the US. It lost 31 percentage points of market share in US power generation between 2005 and 2024, and natural gas picked up four-fifths of that. Why? Gas got cheaper. Five times the cost of coal in 2005, on an energy-equivalent basis, that gap was all but erased by booming shale supply (which Trump also backs). Meanwhile, the cost of building new coal plants, already a multiple of that for gas, went up even as it went down for gas (and renewables). Coal's decline was well established by 2015, when former President Barack Obama unveiled his Clean Power Plan — which was never implemented anyway. The problem is straightforward: Coal-power is an old technology outmatched by newer ones. The average coal-plant running today began operating when Jimmy Carter was president. The youngest, Sandy Creek in Texas, came online in 2014. By 2020, its owners were reportedly in debt restructuring talks and the following year the plant tripped offline in Texas' winter blackouts. Utilisation, or the proportion of the year it actually runs, has slumped. The cheapest existing coal plants remain competitive, according to Lazard Inc.'s latest analysis of levelised costs. Yet they are hardly a slam-dunk compared with gas or unsubsidized wind and solar. The latter are intermittent, of course, and securing firm power to back them up, such as contracting with a gas peaker-plant or battery, boosts their cost considerably. Even then, new coal is in a similar cost range — and that is only with the implicit subsidy of spewing unpriced carbon. This shows why rising forecasts of power demand, stoking fears of dark datacenters or blackouts, offer a lifeline to some existing coal plants that would otherwise retire. But this won't catalyze new ones, even when you consider the suddenly rising cost of new gas plants. Utility NextEra Energy Inc. recently cited a levelised cost for new gas-power of $90-$115 per megawatt-hour. That would put it closer to new coal, but there are reasons why there's a backlog for turbines, not for boilers. Gas plants are more efficient than coal, especially in ramping up and down to match shifting demand and output from renewables, and also emit about half as much carbon. The whiplash of US energy policy over the past decade demonstrates why a developer must think in terms of not the next three years but the next 30. Similarly, AI hyperscalers are prioritising sheer speed over net-zero now, but tethering their reputations to coal over the long term would be inadvisable. This is why, for all of coal's vaunted qualities, the Trump administration still tries to tilt the field so heavily toward it and away from renewable competitors. Wright has made extensive use of federal powers to keep coal plants running that might otherwise close or run minimally; roughly a fifth of all such emergency orders since 2000 have been issued this year. Similarly, Wright's decision to pull an agreed $4.9 billion federal loan-guarantee for the 800-mile Grain Belt Express transmission line reeks of politics, rather than the economic analysis his department claims. The project, bringing wind and solar power from the Great Plains to states further east, had secured approval from four states, partly due to expected cost savings, as well as court victories over opponents.
Crypto Insight
an hour ago
- Crypto Insight
Citigroup, JP Morgan, Goldman Sachs lead TradFi's blockchain charge: Ripple
Citigroup, JPMorgan Chase, Goldman Sachs and Japan's SBI Group have emerged as the most active players in traditional finance backing blockchain startups, according to a new report by Ripple in partnership with CB Insights and the UK Centre for Blockchain Technologies. Between 2020 and 2024, global banks participated in 345 investments in blockchain companies, most of them in early-stage funding rounds, per the report. Citigroup and Goldman Sachs led the pack with 18 deals each, while JP Morgan and Mitsubishi UFJ followed closely with 15 investments. Mega-rounds, deals worth $100 million or more, were a key focus. Banks contributed to 33 such rounds during the four-year window, pouring capital into firms focused on trading infrastructure, tokenization, custody, and payment solutions. Notable examples include CloudWalk in Brazil, which raised over $750 million across two rounds backed by Banco Itaú and others. Likewise, Solaris in Germany secured over $100 million from SBI Group and later became a majority acquisition target. G-SIBs back blockchain with 100+ deals Global Systemically Important Banks (G-SIBs), a group of financial institutions with such significant economic weight that their failure could trigger global financial instability, accounted for 106 deals, including 14 mega-rounds valued at over $100 million each. US and Japanese institutions led in deal volume, but Singapore, France, and the UK were also active. In total, over $100 billion was poured into blockchain startups between 2020 and 2024 across more than 10,000 deals globally. Ripple's survey of over 1,800 global finance leaders also found that 90% believe blockchain and digital assets will have a 'significant or massive' impact on the industry within three years. The momentum is also supported by regulatory developments, including the Guiding and Establishing National Innovation for US Stablecoins, or GENIUS Act, in the US and Markets in Crypto-Assets (MiCA) in the EU, both of which provide a clearer framework for digital asset operations. Banks back stablecoins, tokenization next Backing the investment trend is soaring demand for real-world blockchain applications. According to a Citi report, stablecoin volumes hit $650–$700 billion per month in Q1 2025, and more banks are launching their own stablecoins to offer programmable money without exposure to volatility. Looking ahead, tokenization is expected to be a defining trend. Boston Consulting Group and Ripple estimate that tokenized real-world assets could exceed $18 trillion by 2033, with a compound annual growth rate of 53%. Source:
Campaign ME
an hour ago
- Campaign ME
Matter of Fact: Pushing past the transaction
Marketing in its current state is becoming formulaic, with companies emphasising seamless communication while their messaging focuses more on transactions and consumption rather than connection, especially in digital and social media. However, Gen Z, being the elusive and sceptical audience, sees through this. They want brands to offer identity and experiences, and more notably, connections. Vans' recent 'Always Pushing' campaign demonstrates effective and targeted branding. By embracing the lifestyle the brand embodies, Vans organised music and skateboarding pop-ups at key locations, leaving a lasting impression. The success led Vans to transform some retail spaces into permanent skateparks, turning stores from transactional environments into community hubs that reflect their audience's passions. The path is clear: to engage modern audiences, brands must move beyond sales-focused communication. Storytelling should centre on how the brand experience enriches lives. Successful communication aligns with preferences for value-driven, discovery-led interactions, not just promoting products. Connection, not consumption, is what leaves a lasting impression. GAME CHANGER Meta opens the message At its recent Conversations conference, Meta introduced new AI-driven features designed for businesses to enhance direct consumer marketing. The updates include expanded WhatsApp and Instagram integrations, along with collaborations with platforms such as Shopify and WooCommerce. These changes aim to help brands connect with broader audiences more easily, blending e-commerce with real-time interaction for greater engagement. BREAKING THE NET Racing into the blockbuster lane Apple's in-house film F1: The Movie starring Brad Pitt, has seen the tech giant promote the feature film by tapping into its ecosystem. The tech giant used Wallet push notifications, Apple Pay ticket discounts, and even got co-star Damson Idris to drive an F1 car from the film through Manhattan for the 2025 Met Gala, gaining additional viral mainstream attention from the stunt. #NOT MrBeast hits pause on AI YouTube's most-subscribed creator, Jimmy 'MrBeast' Donaldson, delayed the launch of his ViewStats AI tool suite following backlash from fellow creators. Critics argued that the tools, designed to generate thumbnails and captions from other creators' content, could harm YouTube's creator ecosystem. Donaldson acknowledged the concerns, withdrew the announcement, and promised to refocus ViewStats on supporting emerging creators.
