Strategy to repurchase $1.5B of 2029 convertible notes
The notes carry a 0% coupon, but can be converted into equity in the company if holders choose to redeem their notes for shares.
Fast Company AI·
What if the problem is not how to use AI in our processes, but that our processes were never designed for AI in the first place?
Read full articleThe notes carry a 0% coupon, but can be converted into equity in the company if holders choose to redeem their notes for shares.
Using a large language model instead of me to write and then getting me to edit the result is a cynical way for my employer to cut my fee in half, says a freelance writer In response to your article (‘Being human helps’: despite rise of AI is there still hope for Europe’s translators?, 8 May), I work freelance for a company that produces memoirs for its customers. I used to interview, then write. Now, I interview, a large language model writes, and I am paid half of my previous fee to edit the result. It takes as long to edit the AI-generated text as it used to take me to write the memoir. There are several reasons for this. Continue reading...
The company and its former CEO attracted a lot of controversy recently after hinting at potentially selling some of the BTC holdings.
Strategy CEO Phong Le has highlighted scenarios in which the company would offload some of its Bitcoin holdings. This explanation follows the treasury firm’s chairman, Michael Saylor, hinting at the possibility of strategically selling portions of its BTC over the past week. Why Strategy Could Shed Some Of Its Bitcoin Holdings In an interview with […]
I left Google ten days ago to found my own company. It's been quite a journey figuring out how things work outside of the mothership, and I'm genuinely excited to share what I've learned from both sides of the house...
AI success comes from redesigning processes from scratch rather than automating old habits.
Also in today’s newsletter: a new company seeks to tackle the power constraints on European data centre growth
An AI agent designed to speed up a company's coding instead wiped out its customer data in seconds, showing potential weaknesses in AI programming.