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Google’s Infinite Memory and OpenAI’s Everyday Assistant

PLUS: Google Engineer Praises Rival, Oracle Borrows Against Chips and more.

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Happy Monday, folks!

Welcome to the first full week of 2026. I hope you all had a fantastic start to the new year. We’ve got new enterprise tools, juicy hardware rumors, and some big financial moves in Asia.

Let’s dive into the good stuff.

Today:

  • Google’s Infinite Memory and OpenAI’s Everyday Assistant

  • OpenAI Picks Foxconn

  • Baidu Chip Unit Files for IPO 

  • xAI Launches Grok for Business)

  • Google Engineer Praises Rival 

  • Oracle Borrows Against Chips

Google's "Infinite Learning" and OpenAI's leaked "AI Pen"

In 2026, AI is shifting focus toward continual learning, allowing models to retain and update knowledge over time, much like human memory. Google DeepMind’s nested learning and HOPE architecture aim to mimic the brain’s fluid and long-term memory systems, prioritizing surprising or important data. This breakthrough could fix key issues like forgetting or repeating past mistakes. 

OpenAI’s upcoming AI-powered pen device, with audio and handwriting capture, also promises new ways to interact with AI in daily life. Meanwhile, Gemini 3 is praised for helping users understand complex emotional dynamics, showing AI’s growing potential in personal support and insight.

A Taiwan supply-chain report claims OpenAI’s first “AI terminal hardware” project has shifted assembly to Foxconn (away from Luxshare), with manufacturing expected outside mainland China (the report mentions the U.S. or Vietnam). The rumored form factor is either a smart pen or a portable audio device, and it’s said to be entering the new product design phase, with a target window of 2026–2027.

Two details are the real signal here:

  • “Where it’s made” is the strategy. If OpenAI is serious about a device category, they’re going to treat geopolitics + supply chain as a first-class product constraint, not an afterthought.

  • The “ambient” form factor makes sense. A pen/audio wearable-ish thing implies: always-with-you input (voice/handwriting), light compute on-device, heavier reasoning in the cloud, and a tight loop with ChatGPT. (Still rumor but it’s the shape that fits the moment.)

If this pans out, it’s not “OpenAI made a gadget.” It’s “OpenAI is trying to own the interface layer to daily life.”

xAI is pushing Grok beyond the consumer vibe and into team/org deployments, with Grok Business and Grok Enterprise. They explicitly say customer data won’t be used for training and position it as “enterprise security and privacy built in.”

What’s notable (and very competitive) is the workflow angle:

  • Google Drive is the first “App” connector, and they emphasize permission-aware access (it respects your existing Drive permissions) plus answers with citations that link back to source docs.

  • Enterprise tier adds Custom SSO and Directory Sync (SCIM), plus “advanced audit and security controls.”

  • There’s also an Enterprise Vault concept: encryption in transit/at rest, plus encryption “with your keys,” and an “isolated” data plane for the strictest customers.

My read: this is less about “another chatbot for work” and more about a land grab for the corporate knowledge layer (Drive now, everything else soon).

Baidu’s AI chip unit Kunlunxin has confidentially submitted a Hong Kong listing application (Form A1) as part of a proposed spin-off and separate listing.

A couple grounded details:

  • Baidu’s Hong Kong filing document says the spin-off is intended to be done via a global offering (HK public offering + institutional/pro investor placing), and that Kunlunxin is expected to remain a Baidu subsidiary after the transaction (details like size/structure not finalized).

  • Reuters notes Kunlunxin was previously valued around 21 billion yuan ($3B) in a fundraising round, and frames this as part of China’s broader push to strengthen domestic semiconductor capabilities amid export restrictions

Why it matters: China’s AI stack is increasingly being forced to “verticalize” model + infra + chips and listings like this are both capital-raising and a public signal of confidence.

🧠RESEARCH

This paper introduces "HGMem," a new memory system that helps AI connect related facts like a spiderweb instead of storing them as a simple list. By linking pieces of information together, the model can reason through complex problems step-by-step. This approach significantly improves performance on tasks requiring deep understanding of long documents.

Current AIs process every word with equal effort, which wastes computing power. This research proposes grouping words into larger "concepts" before analyzing them, much like how humans think in ideas rather than letters. This method reduces work for the computer while improving its ability to solve difficult reasoning puzzles.

DeepSeek introduces a method to stabilize giant AI models by fixing how their internal layers connect. Standard connections can cause errors when models grow too wide, but this approach forces data to stay on a reliable mathematical path. This restores stability, allowing engineers to build larger, more powerful systems efficiently.

🛠️TOP TOOLS

Each listing includes a hands-on tutorial so you can get started right away, whether you’re a beginner or a pro.

Blackbox Code – AI Code Generation, Code Chat, Code Search - AI coding platform that combines a web app, desktop agent, VS Code integration, and a dedicated AI-first IDE with autonomous agents for planning, writing, testing, and debugging code.

BlackInk AI – AI Tattoo Generator - tattoo design platform that uses generative AI to turn ideas into custom tattoo concepts in seconds.

BlazeSQL – AI Data Analyst - connects directly to your SQL databases so you can ask questions in plain English, auto‑generate correct SQL, and turn answers into shareable dashboards.

📲SOCIAL MEDIA

🗞️MORE NEWS

Google Engineer Praises Rival A senior Google engineer admitted that a competitor's AI tool built a complex software system in one hour, a task her team spent a year trying to finish. She praised the tool, Claude Code, for matching the quality of Google’s own internal work with shocking speed. This confession highlights how quickly small AI startups are outpacing established tech giants.

Oracle’s Chip-Backed Debt Oracle is expected to sell new bonds backed by its stash of computer chips to fund a massive expansion. The company is short on cash and plans to use its valuable AI hardware as collateral to borrow money cheaply. This unique strategy aims to pay for new data centers without ruining its credit score.

Yann LeCun Exits Meta AI pioneer Yann LeCun revealed he left Meta because the company is obsessed with text-based AI models, which he believes are a dead end. He criticized Mark Zuckerberg for sidelining the research team after they were caught cheating on performance tests. LeCun also expressed frustration at reporting to a new, young boss with no research experience.

Gemini Solves History Mystery Google’s latest AI model solved a 500-year-old mystery by decoding handwritten notes in a famous history book. The AI figured out that the cryptic scribbles were actually math calculations trying to fix biblical timelines. This proves the technology can now reason through complex mixtures of history, handwriting, and math.

OpenAI vs. Apple OpenAI is trying to build its own app store to compete directly with Apple, letting users buy things like groceries inside ChatGPT. CEO Sam Altman sees Apple as his biggest threat and wants to replace the iPhone with his own future devices. However, early tests show the new system is still buggy and harder to use than standard apps.

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