Last weekend I flew to San Francisco to arrange for a multi-day immersion into all things Nvidia and AI. I needed to devote all my energy to the corporate's annual GTC conference, but I couldn't sleep for long. I shook off my jet lag and headed to Monterey for 2 days of communing with sea lions and otters – let's call it a Red Bull-style shot of actual nature and wildlife before diving into the world of artificial intelligence, GPUs and Dip PFLOPS.
Unsurprisingly, Nvidia's GTC conference was an absolute whirlwind. There was CEO Jensen Huang's two-hour keynote speech on the packed SAP Center in San Jose, where he wore a black leather jacket that I wrote looked “just just a little more rock-solid” than the plain versions he's worn in recent times years – consistent with the rapid performance of Nvidia shares, which looked as if it would give everyone reason to have fun. There was a gathering of the authors of “Attention is All You Need,” the article that introduced Transformers and kick-started the generative AI boom. There were also lots of of other sessions, panels, fireside chats, dinners and glad hours at Nvidia GTC – not to say a flurry of reports from Nvidia, capped by the announcement of its latest AI chip and next-generation platform, Blackwell .
The relentless pace of AI industry news
But after all, beyond the conference, the AI competition continued as usual, with the standard relentless pace of AI industry news: Microsoft dropped the mic by introducing Inflection AI CEO and co-founder Mustafa Suleyman, the previous co-founder of DeepMind, has been tasked with leading its consumer AI business. It is Apple and Google supposedly discussing a deal to bring Google AI to iPhones. The first “fairly trained” AI model made headlines. This morning the UN assumed the primary global AI solution.
That's the thing in regards to the AI beat. The beat never stops. And that leads me to my personal news: I'm leaving EnterpriseBeat to pursue a brand new skilled opportunity. The excellent news is that I’ll proceed to report on AI – a subject I actually have thoroughly enjoyed and revered over the past two years. But it's bittersweet: Not only will I miss my small but mighty team at EnterpriseBeat, but the discharge also gave me an amazing opportunity to get on board with the AI trend, six months before OpenAI launched ChatGPT and generative AI exploded into consciousness reached the general public. I'm proud to say that I've taken full advantage of it – I've now written lots of of articles which have helped tell the story of the people and firms behind the creation, development, opportunities and difficulties of the generative AI.
A loving farewell
Before joining EnterpriseBeat, I had studied AI, however it was at the very best level, within the broadest sense – how corporations were using traditional AI for predictive analytics or pattern recognition under the hood for narrow business use cases.
When I arrived at EnterpriseBeat, I immediately realized that AI Beat had became a wild ride. As I wrote in one among my first AI Beat columns in December 2022: “It was my first week at EnterpriseBeat, in mid-April. OpenAI had just released the new edition of its text-to-image generator DALL-E 2; our lead AI author, Kyle Wiggers, had moved before I could pick his brain; and I panicked.”
But I used to be an excellent listener and desirous to learn. And I listened and learned from other journalists and industry analysts, startup CEOs and executives at big tech corporations, consultants and engineers, researchers and policymakers, lawyers and professors. I proceed to be guided by industry and academic experts in my work as I strive to offer what I hope is balanced and nuanced coverage of an increasingly bloated and confusing AI landscape.
I do know my EnterpriseBeat colleagues – Carl Franzen, Michael Nuñez and Shubham Sharma – will proceed to work to do the identical in their very own AI-focused reporting. I wish them continued success with what I consider to be the most effective technical beat!
Thank you for reading,
Sharon
