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Brian Keng
364 posts
Brian Keng
@bjlkeng
Senior Director @ RBC Borealis | Adjunct Professor of Data Science @ Rotman School of Management
Toronto Katılım Temmuz 2013
165 Takip Edilen811 Takipçiler
@TheStalwart Academia is plagued by this, they love using — or making up — terms to sound smarter. Rarely does it actually improve communication (except in the rare case where the term means something very precise).
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People who use the word “stochastic” in places where “random” is totally sufficient <
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Agree that we’ll see this pattern. I also think we’ll see displacement too. Most folks are too one sided on this topic. Of course, we’ll see a mix of things but it’s anyone guess what the distribution will look like in the short and especially long term. I do agree with the sentiment though, you want to be positioned to ride the wave, not drown in it.
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“If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as possible. This is a key reason why I am changing my mind.”
This is why jevons paradox is really important to understand with AI right now.
And counterintuitively, this trend is going to increase as AI gets better. The better AI gets at performing tasks, the more companies can take on those tasks, which leads to hiring more people to do the surrounding work of those tasks.
Think about the small business that can’t afford to build complex software. When AI is only a little good nothing changes for them. When it’s really good they can finally hire engineers that have the impact of 5-10X, so they can finally invest in engineering.
The sales team that can automate customer intelligence and outbound demand gen will hire more sales people because they have more leads to go after. The marketing team that can now do higher-end video production than before will hire a video editor. And so on.
This is going to happen in more and more surprisingly ways.
Anthony Pompliano 🌪@APompliano
I have changed my mind on how AI will impact jobs in America. Previously, I believed AI would replace many entry level roles typically filled by young employees. The technology would then work its way up the organization and eventually reduce the total number of jobs in a company. The data is saying something different, so when I get new information I am willing to change my mind. The number of software engineers being hired has been increasing. The number of open software engineer roles is growing. The number of new college grads who get hired has increased 5.6% over the last 12 months. The unemployment level for people aged 20-24 years old who have a college degree has fallen from nearly 9% to almost 5% as well. The Wall Street Journal recently wrote “AI created 640,000 jobs between 2023 and 2025 in the U.S., according to an analysis by LinkedIn of job posting data, including new white-collar positions such as Head of AI and AI engineer.” And I am starting to see companies throughout our portfolio aggressively hiring to keep up with the demand for their products and services. If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as possible. This is a key reason why I am changing my mind. AI appears to be a magical technology that will make companies more productive and more profitable. The net result will be more corporations, more startups, and more jobs. All three are big, positive wins for the American economy.
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@martin_casado Haven’t really seen any but I did have a lot of fun and a bit of nostalgia with Octopath Traveller. But for the deal, I just played the remakes of the classics.
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Is there anything made in the last decade that's a spiritual equal of the great JRPGS of the mid 90's?
GIF
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@AustenJ248855 @rao2z Yeah he’s usually a bit more clear. But I think reasonable people can disagree here. Would have been better to be able to clearly hear both sides instead of going in circles.
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My take on that Jensen/Dwarakesh duel: (1) Who knew Jensen is so damn good at knock down drag out interviews? I loved the "No need to move on. I am enjoying it" bit 😋 (2) I appreciated Dwarakesh pushing him back so insistently although I wish he does it equally to the doomers (instead of just egging them on..)
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So amazing I can work on coding side projects while holding the baby. Playing with my kids have replaced most of my side project time so it’s such a blessing to be back building.
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@martin_casado Professionalization seems to correlate with money. Yup, that checks out with AI.
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In a decade, we'll look back and miss the chaos, culture wars and shenanigans of the early gen AI days. This shit gets professionalized real' quick. Enjoy the mayhem while we have it. We're all lucky to be in the middle of it.
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@levie What most people get wrong is thinking that AI advances and everything else stays the same. The world is dynamic and reactive. Short term lots of displacement, long term adjustment.
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We will likely have more lawyers in the future than today, because:
1) AI will cause so many more people to ask legal questions which will encourage them to need to verify or execute through an actual lawyer.
2) AI will cause an explosion of more and more exotic legal terms that lawyers will be spending even more time reviewing redlines or new cases around.
3) All the new areas of law that now are emerging around the use of AI itself in every single industry. AI introduces an explosion of IP, privacy, and regulatory compliance challenges across all verticals.
This has historical precedent as well. Between the creation of the PC and the internet (both technologies that made the legal profession far more efficient), the ABA pegs active attorneys having gone from roughly 400,000 in 1975 to roughly 1,375,000 in 2025.
When we make professions more efficient and automated, often demand for them goes up not down.
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I’m teaching a course on LLMs and it’s been a huge blessing that I can use @Cloudflare to stand up a bunch of LLM endpoints for each assignment. Easy, customizable and cost efficient.
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@levie Agree but companies will need to change the way they work to encode more implicit knowledge into agent-readable data. The amount of tacit knowledge in an enterprise is huge. That’s why I think this transition will take a lot longer than most folks expect.
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Agents getting the right context to do their work will be the dominant IT challenge over the next decade. Every agent strategy is at the mercy of how effectively agents can access the right data and systems to make decisions. Huge opportunity for those that get this right.
Box@Box
.@Levie shared with @CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."
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@martin_casado I’m so uncalibrated on the improvement of these models. They’ve already climbed an exponential so many times that I’m still in disbelief. The human brain is not built for intuiting exponentials.
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Mythos appears to be the first class of models trained at scale on Blackwells. Then will be Vera Rubins. Pre-training isn't saturated. RL works. And there is *so much* computing coming online soon.
Buckle your chin strips. It's going to be fucking wild.
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One thing about DL researchers that has always been surprising to me, is that a lot of them have never been exposed to forms of learning other than fitting the parameters of a curve via gradient descent, and are even unable to conceive that there might exist other options
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@GergelyOrosz In many places, devs have a lot of non-coding tasks like meetings etc. so they in fact already do tons of context switching. So AI tools can be quite a big boost when they don’t have enough time to really get in the flow.
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The more I use AI tools, the more I have to admit that I'm not that much more productive... I simply FEEL that much more productive.
In reality, the context switching of kicking several things off wipes out my perceived productivity gains. At least in many/most cases!
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Was telling some folks at work about having my @openclaw in a group chat with my wife to help manage home life and I got a laugh. Makes perfect sense to me but I guess not everyone wants to have an AI in their life.
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@openclaw is pretty awesome but it’s fragile and hard to setup. The real unlock will be when we have the ease-of-use of iPhone + AppStore. For example, I have @dayone and @ReadwiseReader hooked up, but it feels like these will just come out of the box at some point.
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@GergelyOrosz Only for Github Copilot? The easy fix is to stop using it. It feels like they are already 1+ years behind, which feels more like 5 at this point.
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You have until 24 April to do it, and then *boom* you're now part of training their models.
GitHub is truly losing its identity and what it stands for. Opting in paying customers means they no longer see themselves as the infra for code.
Opportunity for someone else!
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If you use GitHub (especially if you pay for it!!) consider doing this *immediately*
Settings -> Privacy -> Disallow GitHub to train their models on your code.
GitHub opted *everyone* into training. No matter if you pay for the service (like I do). WTH
github.com/settings/copil…
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Using my @openclaw in 3-way chat with my wife to auto journal my kids lives. Photos, life events get picked up automatically. The big unlock is making these small things frictionless.
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@GergelyOrosz It’s not hard to imagine Microsoft being even more widely successful if it just was a tiny bit more user friendly. Unfortunately, it’s hard to change the culture of such a large organization.
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Windows is the only:
1. Mainstream OS that is *paid* (Linux: free; Mac: free as part of buying an Apple device)
2. OS that doesn't allow use without creating a Microsoft account
Kind of ridiculous, especially in light of #1. A big turn-off for me. Microsoft SHOULD remove it
Windows Latest@WindowsLatest
BREAKING: Microsoft could drop the requirement for a Microsoft account to use Windows 11. This move is being explored internally as part of the company’s efforts to win back Windows 11 users. A future Windows 11 update will also make the OOBE (out-of-box-experience) UX "quieter and more streamlined," with fewer pages and reboots, so getting started is simpler. Microsoft has committed to faster OS performance, a reduced memory footprint, a faster File Explorer, fewer web-based UI elements in the OS, and even the ability to pause updates for as long as you want. Microsoft is also scaling back Copilot in Windows 11, and it will only add AI to places and apps where it adds real value.
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@cHHillee Turns out if you weren’t learning new things pre-LLMs (via Wikipedia, textbooks etc.), you’re not going to be doing it post-LLMs.
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A conversation I've had several times lately:
Them: "LLMs are so good for learning whatever you want — there's never been a better time to learn!"
Me: "When was the last time you learned a new domain with LLMs?"
Them: "Oh, there's no point. LLMs do a better job than me already"
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