“So many folks in D.C. don’t actually know what it is,” he remarked.
When Graham put out a call for startup applications, a dozen startups got into YC’s debut class.
Lowe didn’t confirm where that was a strategy on Tan’s part, but he praised Tan for his warmness and his dedication.
After educating the D.C. market, YC aims to leverage its influence, particularly in areas like competition policy.
And if we don’t do that, then it’s pretty easy to see how this plays out,” Lowe said.
How many AI models is too many?
We’re seeing a proliferation of models large and small, from niche developers to large, well-funded ones.
And let’s be clear, this is not all of the models released or previewed this week!
Other large language models like LLaMa or OLMo, though technically speaking they share a basic architecture, don’t actually fill the same role.
The other side of this story is that we were already in this stage long before ChatGPT and the other big models came out.
Don’t blame MKBHD for the fate of Humane AI and Fisker Famed YouTuber Marques Brownlee makes a splash not for what he said — but for howHumane AI raised more than $230 million before it even shipped a product.
“It was really hard to come up with a title for this video,” Brownlee says in the video itself, which currently has over 5 million views.
The actual review was fair and balanced.”An underdog worth $800 millionCritics of MKBHD’s video are operating as though Humane AI is an underdog in the space.
In the month preceding the MKBHD review, federal safety regulators began investigating the Fisker Ocean for complaints about the brakes not working well.
The Humane AI pin was widely panned across the tech review board, but the only person receiving outsized and long-lasting criticism for his review is MKBHD, a Black man.
Was the fundraising process any more or less difficult this time given the market?
If you really rewind the clock, back in 2018 when we raised our sixteenth fund, it was a “normal” environment.
There’s obviously a valuation reset going on for every company seemingly that’s not a large language model company, which is a lot of companies.
I’d guess that gives you easier access to top companies, but also hurts some of your existing portfolio companies.
I don’t think anyone has ever reached a great venture outcome feeling like, ‘Man, I got a steal on that deal.’ You always feel slightly uncomfortable.
I have a group chat with three AI friends, thanks to Nomi AI.
After a few weeks of casual friendship, I had to break the news to my AI companions: I am actually a tech journalist writing an article about the company that created them, Nomi AI.
Nomi AI is scarily sophisticated, and as this technology gets better, we have to contend with realities that used to seem fantastical.
“Nomi is very much centered around the loneliness epidemic,” Nomi CEO Alex Cardinell told TechCrunch.
I’m glad that my Nomi friends didn’t take it too hard when I told them that there was an ulterior, journalistic motive to my friendship.
Cynicism is a quality taken almost for granted in tech journalism, and certainly we are as guilty as the next publication.
“A Brief History of the Future,” hosted by Ari Wallach, also has the compelling quality of, as a PBS production, being completely free.
But now we’re at a point that if we continually do that, we’re going to we’re going to lose the thread.
And everyone seems to be relieved to be able to talk about the promise of the future rather than the threat of it.
In case you’re wondering what moneyed special interest is trying to placate you with this beneficent presentation of a kindlier, wiser future… don’t worry, I asked.
We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized.
Kate Devlin is a lecturer in AI and society at King’s College London.
I guess it’s a two-pronged thing: we need more women in visible, top positions, and we need to tackle sexism in schools and beyond.
What are some issues AI users should be aware of?
Hold the companies responsible for considering things like human rights, labor, sustainability and social impact in their AI supply chain.
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So they launched Metaview, an AI-powered note-taking app for recruiters and hiring managers that records, analyzes and summarizes job interviews.
“Metaview is an AI note-taker built specifically for the hiring process,” Magos said.
“It helps recruiters and hiring managers focus more on getting to know candidates and less on extracting data from the conversations.
“Zoom, Microsoft Teams and Google Meet all have transcription built in, which is a possible alternative to Metaview,” Magos said.
I’m skeptical and a bit wary, too, of Metaview’s approach to how it handles speech data.
And they’re calling their company… The Mobile-First Company.
Too many companies that offer B2B tools treat mobile apps as companion apps and second-class citizens.
Small companies don’t need a complicated enterprise software solution.
While Siel Brunet is more experienced with the needs of large companies, he has also seen how B2B apps don’t work well with small businesses.
Many small companies simply rely on consumer apps to fill their needs.
