Daily Edition · Page 1

THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

A central governed checkpoint regulates several converging pathways to workplace tools, representing DoorDash's Agent Gateway for identity, authorization, credential handling, filtering, monitoring, and rate limits.
AI-generated editorial illustration

BITCOIN LOSSES LINKED TO COLDCARD VULNERABILITY GROW TO $70 MILLION

Galaxy Research said nearly 1,200 addresses were drained of over 1,082 BTC (~$70.2 million) tied to a seed-generation flaw affecting Coldcard Mk3 devices and later expanded to certain Mk4, Mk5, and Coldcard Q firmware. Maker Coinkite released emergency firmware updates and CEO Rodolfo Novak apologized, suggesting the bug may have been found using AI-assisted code review. Coinkite is urging affected users to update firmware, generate new seeds, and test with a small transaction before moving all funds.

US BANS FOREIGN-MADE ROBOTS, CHINA THREATENS RETALIATION

The FCC issued a ban this week on new, foreign-made humanoid robots, quadrupeds, robovacs, and sidewalk delivery robots, citing privacy risks from devices that map homes and public spaces plus supply-chain security concerns. China threatened retaliation, calling it a threat to "economic and trade stability." While the ban doesn't name China outright, the country controls roughly 85% of the global humanoid robot market. The rule doesn't target specific companies or actually curb data collection, and many US robotics firms that rely on Chinese components are worried it could gut their own supply chains instead.

HACKERS STEAL SENSITIVE DATA FROM UK DEPARTMENT FOR EDUCATION AND POLICE

The UK's Department for Education (DfE) and a police database were hacked by a new ransomware gang which stole 740k lines of data. The DfE's data was stolen from a help-desk portal and includes full names, email addresses, phone numbers, and job titles for staff and parents. The police database that was compromised provides legal assistance to UK police forces and includes names, the force or organization they're assigned to, and work email addresses.

THE FRONTIER AI PRICE WARS CONTINUE

Model pricing can now go stale before a startup ships. OpenAI cut Luna's API price 80% only three weeks after launch and dropped Terra's price 20%. Anthropic released Opus 5 at half the price of Fable 5, while Google priced Gemini 3.6 Flash below Kimi K3 per task. Cheaper models are already forcing frontier labs to move before most enterprises have even started switching. If model spend matters to your margins, keep switching costs low.

NEW YORK SUES KALSHI OVER ALLEGED ILLEGAL GAMBLING OPERATION

New York is suing Kalshi, alleging its sports, political, and other event contracts constitute unlicensed gambling and seeking a permanent injunction, user restitution, and penalties that could total $36 billion. Kalshi and the CFTC argue the federally licensed exchange falls under exclusive federal oversight, escalating the broader fight over whether prediction markets are financial derivatives or state-regulated gambling.

RUNNING A 28.9M PARAMETER LLM ON AN $8 MICROCONTROLLER

A developer got a 28.9M parameter language model running entirely on an ESP32-S3, a microcontroller with just 512KB of SRAM. The trick, borrowed from Google's Gemma models, is called Per-Layer Embeddings: instead of loading the full network into fast memory, about 25 million parameters live in flash as a lookup table, and only the bytes needed for the current token get read out during inference, while the smaller layers stay in SRAM. After quantization, the whole model shrinks to 14.9MB, fitting comfortably on the board's flash, and it generates about 9.5 tokens per second on an $8 chip.

QUALCOMM CLOSES ALL-STOCK ACQUISITION OF COMPILER STARTUP MODULAR

Qualcomm finished buying Modular, the AI infrastructure company behind the Mojo programming language and the MAX inference framework. Modular's whole appeal is that its software lets the same model code run across CPUs, GPUs, NPUs, and custom silicon without rewriting kernels for each one. Qualcomm just raised its 2029 target to $40 billion in non-handset revenue, with data center alone expected to contribute over $15 billion, and it's betting that owning the compiler and serving layer outright, not just the silicon, is what gets new Qualcomm AI chips performing well from day one.

TLDR IndexPage 1