- Engram exited stealth with a $98M round at a $600M valuation, led by General Catalyst, Kleiner Perkins, and Sequoia Capital, with strategic backing from OpenAI co-founder Andrej Karpathy.
- The eight-month-old, 13-person company targets enterprise AI cost by decoupling a model’s reasoning layer from its memory layer.
Snapshot — June 24, 2026
22 stories
- The past day was defined less by new models than by people, money, and policy.
- Google's research bench cracked — two marquee departures helped wipe roughly 7% off Alphabet — while capital kept flooding into AI infrastructure and the U.S.–China export fight turned bidirectional.
- The throughline for leadership: the binding constraints in AI are shifting from raw model capability toward talent retention, serving capacity, reliability, and supply-chain exposure.
- Amazon-owned Zoox revealed design and functional upgrades to its purpose-built, steering-wheel-free robotaxi as it targets a paid commercial launch later this year.
- The core autonomous architecture — 40 sensors, 75 mph capability — is unchanged; the updates focus on rider experience.
- Zoox is scaling toward 100 vehicles per week at its Hayward, California plant, pending an NHTSA commercial exemption to move from free testing to paid rides.
- In a June 10 letter to the U.S.
- Senate Banking Committee, obtained by CNBC, Anthropic accused operators affiliated with Alibaba and its Qwen AI lab of “brazenly” and “illicitly” attempting to extract Claude’s capabilities — 28.8 million exchanges through roughly 25,000 fraudulent accounts between April 22 and June 5, in what it called the largest distillation attack on the company to date.
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- Google made computer use a native, built-in tool in Gemini 3.5 Flash, retiring the standalone Gemini 2.5 computer-use model and exposing the capability via the Gemini API and the renamed Gemini Enterprise Agent Platform.
- Agents can now see, reason about, and act across browser, mobile and desktop environments for long-horizon tasks like continuous software testing.
- Forbes details how the trillion-dollar data-center land grab has transformed memory makers such as Micron and SK Hynix from cyclical commodity suppliers into a sustained growth sector.
- Memory increasingly governs how fast AI servers process information, making high-bandwidth memory a gating factor for throughput — and a structural beneficiary of hyperscaler capex rather than a swing-cycle business.
- At Nvidia’s annual stockholder meeting, Jensen Huang said national security takes priority over commercial opportunity and that data centers “cobbled together” from smuggled parts are unworkable without Nvidia’s support and repairs.
- He argued the AI return-on-investment question “has been answered,” citing GitHub pull requests nearly tripling on AI usage, and reiterated plans to return 50% of free cash flow to shareholders.
- OpenAI and Broadcom unveiled “Jalapeño,” a custom AI accelerator purpose-built for large-language-model inference rather than the general-purpose GPUs sold by Nvidia or AMD.
- Designed to run workloads behind ChatGPT, Codex, the API, and future agentic products, early testing reportedly shows materially better performance-per-watt, particularly for real-time coding models.
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- Qualcomm revealed the Dragonfly C1000, a data-center CPU built for agentic AI with an emphasis on performance-per-watt, naming Meta as a customer when production begins in 2028.
- The company nearly doubled its fiscal-2029 non-handset revenue target to $40B and set a $15B data-center sales goal, sending shares up ~15% after hours.
- SK Hynix disclosed plans to list American depositary receipts on Nasdaq’s Global Select Market as early as July 10, seeking to raise as much as 45.45 trillion won (~$29.1B) to fund new fabrication plants, advanced packaging, and chipmaking equipment.
- The AI-memory leader is pursuing deeper access to U.S. capital markets and a potential re-rating of its value amid surging high-bandwidth-memory demand.
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