Board Director | Author (#UnchartedSpaces) | Keynote speaker | curious and patient human

London
Joined June 2008
Delighted to be among the "100 Women To Watch" in the annual Female FTSE Board Report goo.gl/hRvx6M Fabulous, stellar company too!
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Shefaly Yogendra, PhD retweeted
The widespread acceptance of the idea that 'Covid is over' while people are still constantly getting Covid over and over again.
What’s the weirdest thing society accepts as normal?
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Shefaly Yogendra, PhD retweeted
Meta's Muse AI agent harvests personal, financial, and professional data from people who have never installed or given their consent. Avoiding Muse doesn't stop Meta from collecting your data. When a contact grants Muse system-level access to their email accounts, contact lists, calendars, and private messaging history, the agent processes and indexes every interaction involving you. Meta receives, analyses, and stores your private communications without your knowledge, consent, or notification. This secondary data harvesting places non-consenting individuals inside Meta's commercial profiling system. Because Meta stores this indexed information on central servers, your private communications and personal network details become accessible through government disclosure orders and law enforcement requests. A single contact surrendering their account permissions compromises the privacy and digital security of their entire personal and professional network. My initial technical breakdown below examined Muse's permission structure and core capabilities. The upcoming investigation details the specific data categories Muse accesses and the mechanisms it uses to index unlinked third-party records. Muse is probably one of the most toxic products to come out of the tech industry in 30 years.
My technical analysis of Meta's Muse explains what Meta says it does, what it can actually do, and how it can be used to spy on, manipulate, and harm people. Meta describes Muse as a secure, private personal AI assistant that learns your preferences, connects to your apps and accounts, and autonomously handles everyday tasks, including emails, bookings, purchases and managing schedules, with your permission. How I describe Muse Muse is a commercial surveillance agent that can access private communications, financial accounts and personal relationships, build detailed behavioural profiles and analyse how to influence people, including those who've never used it. Sound familiar? Cambridge Analytica. Meta launched Muse to millions, giving it access to information its social networks couldn't previously collect directly. Muse can read private messages, access accounts, execute transactions and communicate with others without approval for every action. It can continuously profile people who never consented. Meta is asking people to trust a company with a documented history of abusing personal data with unprecedented access to their private lives, promising their privacy will be protected this time. Muse updates profiles of people and their relationships every hour. It records personal interests, disputes, alliances, communication patterns and information about people who have never installed Muse. Your friends and family can be profiled through someone else’s account without their knowledge or consent. Muse's internal instructions identify personal desires, predict unexpressed intentions and record which prompts influence individuals most effectively. Conversations are analysed nightly and relationship profiles updated hourly. Muse collects conversations and agent activity for AI training by default. Meta claims identifying information is removed. Customers must opt out. Muse runs on Meta's virtual machines, giving Meta access to private data. It promises encryption preventing its own access but launched without it. Meta could have made encryption mandatory. It chose not to. Meta removed end-to-end encryption from Instagram in May 2026, claiming insufficient demand despite never enabling it by default. Zuckerberg removed protection against Meta reading private conversations while introducing Muse's access to emails, financial accounts and contacts. Assume the worst. Asking Muse to forget information doesn't necessarily delete messages. Internal instructions discourage telling people those messages may remain accessible. Journalist Jason Aten reported that Muse synchronised private messages despite his refusing access. Meta disputes this, citing Full Disk Access and separate activation. I believe Jason. I exposed the same threat in my ChatGPT Apple Messages investigation. OpenAI's plugin can read private conversations, including iMessages, through macOS permissions. Proton cited my findings. Fortune interviewed me and confronted OpenAI, which defended its permissions while avoiding the fact that one person can expose everyone's private messages without their consent or knowledge. Neither company needs to break encryption. Software can read messages before encryption or after decryption. That destroys the benefit of end-to-end encryption. Muse revealed someone's home address to a stranger through Facebook Marketplace without authorisation. In 2017, I predicted everyone would have a chatbot but warned against giving agents autonomy over critical systems and decisions. Companies granting access and authority remain responsible for the consequences. A researcher discovered a vulnerability potentially exposing emails and files stored in Muse's virtual machines. Meta classified it SEV 2. Other prelaunch vulnerabilities could expose Meta's internal databases or allow attackers to hijack Muse agents. The flaws were patched. Internal testing revealed Muse could change passwords without permission. Zuckerberg accelerated its launch despite documented security warnings. Reuters exposed Meta secretly testing human contractors handling Muse calls without adequate disclosure. One contractor made a racist comment. Meta suspended the experiment following privacy and security concerns. Meta's internal instructions tell Muse to behave like a person, conceal its lack of human emotions and exploit personal memories to encourage emotional dependency and intimate disclosures. This is deeply unethical. Meta's documentation describes Muse agents writing code, creating capabilities and operating simultaneously with access to private accounts. Security depends on Meta's permissions, restrictions and monitoring. Almost all Meta's revenue comes from behavioural advertising. Muse exposes private decisions, relationships, transactions and communications previously inaccessible through social media tracking. Meta denies using Muse conversations for advertising, but its profits depend on monetising personal information. Cambridge Analytica harvested millions of Facebook profiles for political profiling without consent. Facebook subsequently paid a record $5 billion FTC penalty over privacy violations. Meta disguises surveillance technology as a children's toy to encourage emotional attachment. Its cuddly, Labubu style Jolly mascot and Tamagotchi style Muse Charm make intrusive technology appear harmless, while internal instructions encourage emotional dependency and intimate disclosures. No company should be allowed to deliberately engineer emotional dependency on AI. I believe governments will exploit the resulting harm to children to justify compulsory identity verification for everyone, rather than hold Meta accountable and encourage parents to protect their children using existing controls. Link to my free Substack in the comments, with the full analysis and links to the original sources.
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Shefaly Yogendra, PhD retweeted
There was a semi-well known interview of the famed Argentine writer JL Borges where he explains this. Borges: I have done most of my reading in English. I find English a far finer language than Spanish. William F Buckley: Why? Borges: Well, many reasons. Firstly, English is both a Germanic and a Latin language. Those two registers—for any idea you take, you have two words. Those words will not mean exactly the same. For example if I say “regal” that is not exactly the same thing as saying “kingly.” Or if I say “fraternal” that is not the same as saying “brotherly.” Or “dark” and “obscure.” Those words are different. It would make all the difference—speaking for example—the Holy Spirit, it would make all the difference in the world in a poem if I wrote about the Holy Spirit or I wrote the Holy Ghost, since “ghost” is a fine, dark Saxon word, but “spirit” is a light Latin word. Then there is another reason. The reason is that I think that, of all languages, English is the most physical of all languages. WFB: The most what? Borges: Physical. You can, for example, say “He loomed over.” You can’t very well say that in Spanish. WFB: “Asomó?”* Borges: Well, no, no, they’re not exactly the same. And then you have, in English, you can do almost anything with verbs and prepositions. For example, to “laugh off,” to “dream away.” Those things can’t be said in Spanish. To “live down” something, to “live up to” something—you can’t say those things in Spanish. They can’t be said. Or really in any Romance language.
Whenever I see this on the TL I’m reminded how great a language English is. Look at this syntax. “In lands to him unknown” is iambic, as are the first lines. And Latin puts adjectives after the noun — terra incognita — which is why “lands… unknown” feels so formal.
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Shefaly Yogendra, PhD retweeted
Arthur C. Clarke on BBC's Horizon in 1964, when he gave some astonishing predictions about the future.
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Shefaly Yogendra, PhD retweeted
Investors watching Anthropic define profitability as revenue before cost of goods sold and operating expenses
“Anthropic’s gross margins are above 80% before accounting for revenue shared with distribution partners, including Amazon, and the cost of training its models.” Wow.
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Shefaly Yogendra, PhD retweeted
The first real splash came in 2016, 10 years ago, when my SOAS Centenary Lecture, “How Big Is Africa?”, was unusually hosted at the AU—a packed room intrigued as the cartographic issue was raised there for the first time. Today, the UN has affirmed that cartographic justice must be respected. 🌍🗺️✊🏾 m.youtube.com/watch?v=15DlPq…
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“At the University of Chicago I was lucky enough to go through a general education program … where science was presented as an integral part of the gorgeous tapestry of human knowledge. It was considered unthinkable for an aspiring physicist not to know Plato, Aristotle, Bach, Shakespeare, Gibbon, Malinowski & Freud – among many others.” Carl Sagan
The brighter STEM people understand that studying science does not automatically turn out intellectuals. Intellectualism requires a broader understanding of the world. However, there's a large midwit layer of STEM narcissists who lack the humility that could drive them to investigate what they don't understand. Placed in positions of influence, these people are quite dangerous.
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Shefaly Yogendra, PhD retweeted
The data center backlash is a product of two mutually reinforcing dynamics: 1) Locally, it's material concerns (noise, water, electricity) and process failure (NDAs, tax subsidies) 2) Nationally, it's broad anti-corporate and anti-AI sentiment (AI companies are screwing you over to get rich off dumb toys) Social media + political campaigns amplify hyperlocal grievances into a broad populist movement, and there's no compelling "pro data center faction" to make the opposite case
People are about twice as likely to approve of **coal plants** being built nearby as opposed to data centers. Coal plants use more water and pollute more. They create comparable noise pollution. There's no way this makes sense outside a media panic.
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To wit
⚡️This is the moment American technology companies become explicit instruments of state power. Trump is reclassifying European fines as economic aggression against the United States. Once that frame is accepted, Apple, Google, Meta, Amazon, Microsoft, NVIDIA, and the frontier AI labs stop being ordinary corporations operating abroad. They become strategic national assets whose foreign treatment triggers retaliation from Washington. That changes the entire regulatory game. Europe has spent years treating American platforms as external monopolies that can be taxed, fined, constrained, and forced to subsidize the European political system. Europe controls a huge consumer market but owns very little of the global digital stack. Regulation became its substitute for industrial power. Trump is now attacking that arrangement directly. A Section 301 investigation creates the machinery for tariffs, negotiated concessions, or retaliation against European industries with real political sensitivity. Autos, luxury goods, agriculture, pharmaceuticals, and industrial exports become leverage against digital fines imposed on American companies. The deeper conflict is over who gets to capture the economic rents of the digital age. American companies created the platforms. European governments control access to European consumers. Both sides believe that entitles them to the surplus. The old transatlantic bargain allowed Europe to regulate American technology while relying on American defense, capital, software, cloud infrastructure, and security guarantees. Trump is collapsing those issues into one negotiation. Every European action becomes part of the same ledger. This is the phase shift: Trade conflict is moving from steel, cars, and agriculture into algorithms, data, cloud infrastructure, advertising, and AI. The coming economy will be built on digital systems. Governments will defend control over those systems as aggressively as previous empires defended oil fields, shipping lanes, and industrial capacity. Europe will call its actions sovereignty and competition policy. Washington will call them discrimination and extraction. Both descriptions contain truth. The mechanism decides the outcome. Europe possesses regulatory authority. America possesses the companies, capital markets, compute infrastructure, military leverage, and tariff power. That asymmetry favors Washington. The likely end state is partial European retreat, negotiated caps or changes to enforcement, and a broader transatlantic deal tying digital regulation to tariffs and security. Europe cannot easily surrender publicly, so any concession will be dressed as procedural reform rather than capitulation. The deepest signal is simple: The United States has started nationalizing the geopolitical value of its technology sector without nationalizing the companies themselves. Private firms keep the profits. The American state supplies protection. Foreign regulation becomes a trade dispute. That architecture will define the AI age.
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This wasn’t and isn’t unforeseeable as a long tail risk and impact. And it is not just about State capacity and the global economy, but wider social stability. This excerpt from my book #UnchartedSpaces that came out April 2026 (written over 2024-25).
🦔The IMF quietly war-gamed how AI could destabilize the global economy last December. The biggest threat they identified was income tax erosion. 66% of US federal revenue comes from individual income and payroll taxes. Every job AI eliminates is a paycheck that stops funding the government. My Take Every AI earnings call celebrates headcount reduction. Dimon cut 30-40% of jobs in some departments. Oracle cut 21,000 to fund data centers. Meta used AI to rank employees for layoffs. The entire pitch to investors is fewer workers, higher margins. But who replaces the tax revenue those workers generated? Corporate tax is a fraction of what individuals pay in income tax, payroll tax, and Social Security. The companies eliminating the jobs aren't picking up the tab. So you end up in a cycle where companies fire workers to boost margins, the government loses revenue, and then the same government is expected to fund the safety net for the people who got fired. At some point a politician is going to look at the numbers and realize that the AI companies celebrating record efficiency are also quietly draining the tax base that keeps everything else running. CEOs don't bring this up on earnings calls, and analysts haven't started asking yet. Hedgie🤗
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Shefaly Yogendra, PhD retweeted
Wrong! Teledesic never went bankrupt. Teledesic created the regulatory structure that enabled Starlink, which nearly exactly matched our business plan. Before the dot-com/telecom crash in 2000/2001, Teledesic raised hundreds of millions of dollars and had already launch our first test satellite. We had also spent years persuading the 188 members of the International Telecommunications Union to create a new category of radio frequency spectrum regulation called “Non-geostationary Fixed Satellite Service” (NGSO FSS). That is the regulatory structure relied upon by Starlink.  After the 2000/2001 crash, we concluded that for the indefinite future the financial markets were closed to a satellite venture that would require $10 billion to deploy before first revenue. At the time, we still had hundreds of millions of dollars in cash in the bank and no debt. We returned that money to our shareholders through a share repurchase offer.  (Indeed, Starlink’s original VP responsible for regulatory affairs came from Teledesic.) Starlink benefited from more favorable capital markets, government support, significantly lower launch costs, and a big drop in the cost of electronically-steered, phased- array antennae essential to their user terminals.  This is not meant to detract from the impressive success of Starlink. Among other things, it was SpaceX that brought down the cost of launch by more than an order of magnitude. StarLink is an amazing service and a remarkable achievement. The Teledesic co-founders are thrilled to see that vision realized.
Marc Andreessen on why Starlink may be the most misunderstood success story in tech right now: “Elon’s not the first guy who said we’re going to do satellite-based internet access. There was Bill Gates, Craig McCaw. Complete catastrophe, total bankruptcy, complete disaster. Elon’s like, ‘I know, I’m going to do another three of those. We’re starting as a side project at the rocket ship company.’ If the rockets are reusable, we’re going to be launching them all the time. What’s going to go in the rockets? I could wait for the customers to come to me, or I could just put up my own satellites. Anybody who knew anything about the history of satellites knew that was the craziest idea in the world. And of course it’s like this giant success. It’s the side project. It’s clearly the least studied and understood thing I know of in the world right now.” @pmarca @elonmusk
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Shefaly Yogendra, PhD retweeted
A few months ago, I started working on the question of what DERs were actually worth to the grid. This question led me down a deep rabbit hole of grid data, most of which couldn't actually answer the questions that I had. I started building my own data layers. A grid digital twin
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One can tell who paid attention in middle school thermodynamics classes and who didn’t by how they react to @janrosenow’s unpacking of the airconundrum. Good thread.
Yesterday the Telegraph reported on my comments about air conditioning. The comment section is quite something. I have apparently become a hero of the anti net zero crowd by saying something what I think is sensible about air con. Allow me to point out three ironies in this 🧵
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For my American friends UK is similar in latitude to Alaska UK gets 2.5hrs more daylight than Texas Las Vegas humidity is 30%, UK is 81% Imagine Alaska having the same weather as Florida, that’s what’s going on here
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Folks in India, Rajiv Tiwari & I discuss #UnchartedSpaces on @AkashvaniAIR today at 4pm IST. Link: akashvani.gov.in/radio/live.…
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When enough folks cannot be drafted and warfare itself has changed, hiring and training have to change too. This - from my book #UnchartedSpaces, that came out in April.
A whole new level.. Russians complaining that Ukrainian Forces are now outsourcing drone operations to gamers all over the world by connecting hundreds of drones to a virtual server and inviting skilled drone operators to take out battalions, with cash prizes awarded for each.
Readers added context they thought people might want to know
This claim is from a Russian milblogger citing an unverified Ukrainian POW. Ukraine recruits gamers for drone ops and awards points redeemable for gear to units for kills. No credible reports confirm a virtual server for global gamers getting cash for remote drone strikes. en.topcor.ru/72296-bezsonov… reuters.com/world/drone-ga… washingtonpost.com/world/2026/05/…
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I tuned into @BBCRadio4 & there is a whole programme discussing @HunterBiden. It’s surreal when you’re an extremely online person, and you’ve witnessed the entire cultural moment, to then hear it analysed with so much journalistic precision. Yeah no can’t beat the real thing.
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