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Mark Zuckerberg in the metaverse
Spooky! (Meta)
ill-versed

The metaverse’s slow, drawn-out demise is getting painful

Maybe Meta execs are just picking out a nice $80 billion plot in the Big Tech graveyard.

Tom Jones

On Tuesday, in a stark and much-needed reminder not only of the metaverse’s existence, but also of its prolonged disassembly, Meta announced that it would be pulling Horizon Worlds, its metaverse social network, from its VR headsets.

By Wednesday, the company’s plans had changed, with Meta’s CTO announcing on Instagram, “We have decided, just today in fact, that we will keep Horizon Worlds working in VR for existing games” — a U-turn that a Meta representative then confirmed to TechCrunch.

This latest debacle (and a catalog of others before it) makes you think that switching off the metaverse might no longer be a question of “if,” rather than “when?” Both questions can, naturally, be answered with a third: “Will anyone actually care?”

Vaulting ambition, which o’erleaps itself…

None of this, it should be noted, was for lack of trying — or spending. In 2021, after rebranding the entire company around his bet that we’d rush to his new and exciting virtual universe, CEO Mark Zuckerberg said, “Over time, I hope that we are seen as a metaverse company.” To his credit, Zuckerberg then put his money where his mouth was: from Q4 2020 to the end of 2025, Meta racked up losses of around $80 billion across its Reality Labs division, which houses the metaverse as well as other VR and AR products.

Though that cash burn might make the metaverse one of the costliest wrong turns in recent tech history, it’s hardly the only project to have been hailed as the future, only to quickly fade and become a punchline or forgotten ember burning on the dumpster fire of technology missteps.

Tech graveyard Google Trends chart
Sherwood News

Much-hyped products from the biggest names in Big Tech, like Apple’s Vision Pro or Alphabet’s Google Glass, have seen similarly short-lived buzz cycles and have come to be widely regarded as failures. Meanwhile, NFTs, one of the most talked about (and ridiculed) tech concepts of the 21st century, have nearly vanished, with a report suggesting that 96% of NFT collections were “dead” by 2024. At least Meta can console itself with the fact it doesn’t (yet) have a digital graveyard dedicated to its scrapped products, like Google or Microsoft.

AI is a good example of how tech companies perceive the risks of overspending on potentially groundbreaking technologies — you simply cannot be left behind. To the businesses at the top, burning tens of billions of dollars in the process is a gamble worth taking when your companys value is measured in multiple trillions.

Even though the decline must be tough for Zuck and co. to take, our thoughts through this latest tech wind-down are mostly with the user who shelled out $450,000 to become Snoop Dogg’s neighbor in the metaverse five years ago (yes, really).

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FT: Meta considering “tens of billions” in new capital to fund AI

Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the Financial Times.

Meta is planning on spending between $125 billion and $145 billion on AI capital expenditure this year alone.

Shares dropped more than 5% on the news.

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FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

tech

Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Streets most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to neutral from underweight and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

  • Looking past the car lot: Gupta argues that Tesla is at the forefront of physical AI, entering uncharted TAMs” and therefore deserves the benefit of the doubt to be valued on LT earnings potential rather than near-term speed bumps.

  • Unmatched vertical integration: Teslas control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.

  • The AWS flywheel effect: Deploying Optimus robots inside its own factories should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

skynet terminator

Anthropic ponders self-improving AI

Anthropic says Claude already writes 80% of its code. A new post asks what happens when the models can improve themselves — and whether anyone could stop them.

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