iFeeling Daily
Daily curated AI insights you can't miss.
Meta’s Mosseri: AI token budgets may be capped per engineer in 1-2 years
Adam Mosseri predicts that within a year or two, Meta will need to cap AI token budgets per engineer because the burn rate could equal their salary. The article details how companies like Meta, Uber, and Microsoft are already wrestling with runaway AI costs, forcing a shift from unlimited experimentation to managed resource allocation.
Reflection inks $1B compute deal with Nebius for Nvidia chips
Reflection AI signs a $1 billion compute deal with Nebius for Nvidia chips, following a similar deal with SpaceX, as open-weight model developers scramble to secure infrastructure in a supply-constrained market. The article highlights how compute procurement is becoming a strategic differentiator amid geopolitical and regulatory pressures on AI model access.
Uber’s Product Chief on Hotels, Robotaxis, and Not Being Everything for Everyone
Uber's CPO Sachin Kansal explains the company's strategy to expand into travel and financial services while managing a delicate partnership with Waymo and investing in AV Labs for autonomous driving data. The key is not to be everything for everyone, but to leverage data and operational expertise through selective integrations and AI features.
Sam Altman’s space data center trash talk aligns with expert consensus
Sam Altman's dismissive retort about space data centers reflects what most aerospace and AI infrastructure experts already agree on: the economics of orbital compute for AI inference aren't viable until rockets are much cheaper and satellites can be mass-produced, a milestone likely a decade or more away.
SK Hynix raises $26.5B in biggest foreign IPO, faces pressure to build U.S. fabs
SK Hynix raised $26.5 billion in the largest foreign IPO in U.S. history, driven by its role as Nvidia's primary supplier of high-bandwidth memory (HBM) for AI GPUs. The company plans to invest in new fabs and packaging in South Korea, while the U.S. Commerce Secretary is urging it to build factories on American soil.
Three Years of AI Compression: Rethinking Venture and Infrastructure
Three years ago, Theory Ventures launched with a bet that AI would reshape software. The market moved faster than even bullish expectations, and the firm's anniversary post traces how AI compresses time — new models every 41 days, companies reaching $100M in record time, and the old language of venture capital breaking down. Seed rounds now range from $1M to $500M, sometimes larger than IPOs, because the best companies mature much earlier.
Can AI answer the $3 trillion question?
Sequoia's David Cahn now calculates AI infrastructure requires $3 trillion in revenue to justify spending by 2026, while Apollo's Torsten Slok warns that falling token prices and cheaper models threaten hyperscaler cash flow targets, risking economy-wide repercussions.
Elon Musk Praises Anthropic After It Becomes SpaceX’s Largest Customer
Anthropic now runs its most critical workloads on SpaceX infrastructure, paying $1.25 billion per month. Elon Musk publicly praises the rival and promises not to cut them off, but the real safeguards are contractual, not personal. The partnership raises a sharp question about hosting dependency when your infrastructure provider is also your competitor.
Meta’s New AI Chips Enter Production in September
Meta is racing to reduce its dependence on Nvidia GPUs by pushing its own AI chips, developed under the MTIA program with Broadcom, into production this September. The company expects to deploy 7 gigawatts of compute this year and double that next, as it invests between $125 billion and $145 billion in capital expenditures. This is a serious move to gain leverage over GPU supply and pricing.