TechWithAdit (TWA)

From Barry Diller’s warning that trust may be irrelevant as AGI nears, to Google Chrome quietly dropping a 4GB Gemini Nano model on desktops, the AI world is buzzing with both breakthroughs and controversies. Regulators like SEBI are racing to counter cyber risks, while SpaceX eyes a $119B chip factory to secure compute dominance. Meanwhile, stories of global talent landing roles at Anthropic and humanoid robots like Genesis cooking, wiring, and even playing piano remind us how fast the frontier is shifting.

At The Wall Street Journal’s Future of Everything conference, billionaire media mogul Barry Diller defended OpenAI CEO Sam Altman against accusations of manipulation, calling him “a decent person with good values.” Yet Diller argued that trust in individual leaders is beside the point as artificial general intelligence (AGI) approaches. “Trust may be irrelevant,” he said, noting that even AI creators are surprised by the pace and unpredictability of progress. Diller warned that humanity is entering “the great unknown,” where the real issue isn’t stewardship but the unforeseen consequences of unleashing AGI. He urged the need for guardrails, cautioning that if humans fail to set them, AGI itself may impose its own. The insights: The debate over Altman’s credibility underscores a larger truth as AGI edges closer, the question shifts from who we trust to what we can control. The challenge isn’t just leadership, but whether society can establish boundaries before technology defines them for us.

As AI systems grow more powerful, policymakers and economists are floating a provocative idea: a “compute tax”  levies on the massive computing power required to train frontier models. The logic is simple: if AI accelerates productivity but also displaces jobs, taxing compute could generate revenue to fund social safety nets like universal basic income (UBI). Supporters argue this approach targets the true scarce resource in AI  high-end chips and compute clusters  rather than labor or capital. Critics warn it could stifle innovation, push research offshore, and be difficult to enforce given the global nature of cloud infrastructure. The insights: The compute tax debate reflects a broader reckoning: as AI reshapes economies, governments are searching for mechanisms to redistribute gains and cushion disruption. Whether through UBI, retraining programs, or new fiscal tools, the question is no longer if AI will transform work, but how society will adapt.

The hottest corner of tech right now isn’t flashy apps or chatbots, it's memory makers. Companies producing DRAM and NAND chips are seeing demand surge as AI workloads devour storage and compute. Prices have spiked, profits are soaring, and investors are piling in. But the boom raises a question: are they making too much money? With margins expanding at breakneck speed, some analysts warn of overheating, while others argue it’s simply the payoff for years of brutal cycles and capital-intensive investment. As AI reshapes hardware economics, memory makers have become indispensable and their newfound pricing power is sparking debate across Wall Street. The insights: The AI gold rush isn’t just about models; it’s about the infrastructure underneath. Memory makers, once seen as commodity players, now sit at the center of tech’s most lucrative transformation.

Elon Musk’s SpaceX  now tightly linked with his AI venture xAI  has filed plans for a multi-phase semiconductor facility in Grimes County, Texas. The project, dubbed Terafab, could cost up to $119 billion, with an initial $55B commitment. The factory would be vertically integrated, producing advanced chips for AI servers, satellites, Tesla’s autonomous vehicles, and humanoid robots. Intel is already roped in as a partner, while Tesla is expected to contribute resources. Musk argues the facility is essential: “We either build the Terafab or we don’t have the chips, and we need the chips.”Beyond Earth, Musk envisions data centers in space powered by these chips, aligning with his push to ensure xAI has enough compute for its Grok models. The combined SpaceX–xAI entity is valued at $1.25 trillion and is expected to go public in June. The insights: Terafab isn’t just a chip factory  it’s Musk’s bid to control the AI supply chain end-to-end, from satellites to robots. If realized, it would mark one of the largest industrial bets in tech history.

India’s market regulator SEBI is stepping up defenses against advanced AI threats like Anthropic’s Mythos, which experts warn can autonomously exploit vulnerabilities in financial systems. Chair Tuhin Kanta Pandey  has signaled that resilience, not just oversight, will be the new benchmark. SEBI is preparing an advisory for exchanges and market participants, focusing on tighter reporting standards, AI-specific compliance frameworks, and coordinated monitoring of suspicious activity. The regulator is also working with banks and government agencies to build proactive safeguards that anticipate AI-driven attacks rather than react to them. The insights: By treating AI as a systemic risk, SEBI is reframing cybersecurity as a market stability issue. For financial institutions, this means preparing for a future where AI resilience becomes as critical as capital adequacy.

Was this email forwarded to you? Don’t miss any updates Subscribe to TechWithAdit for sharp, no - noise tech intelligence stay sharp, – Adit