
building | @thoughtfullab | @cornell |
NYC
Joined August 2018
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Billion dollar pdf day 🍩🍩
The benefits of abundant intelligence will accrue far outside of San Fransisco.
Spent the last year writing about capital, sovereignty, and the coming reordering of economic power.
THE COMMANDING HEIGHTS
Commanding-Heights.com
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In May of last year, I told my twin brother I was going to run the NYC Marathon. And after some additional motivation from his response this Sunday we’re doing it!
I’m running for the Alzheimer’s Drug Discovery Foundation and I want to raise as much money for them as I can. Please consider donating to an amazing organization:
fundraisers.nyrr.org/logan-h…
If you see me out there, please say hi!
And if any companies want to sponsor a four-hour-ish marathon effort for maximum visibility, message me. (genuine offer) What I lack in speed, I can offer in extended advertising time across five boroughs.
Well… this is something
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected.
Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions.
Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent.
But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models?
We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem.
Read the full report: cohere.com/blog/concerning-b…
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If I got this message in slack, I’d be pretty fired up
Today we're standing up XBOX LABS (labs.xbox.com). Here is the note that I sent to the team:
Team,
The first video games emerged some 75 years ago. In the time since, there have been booms and busts, but every year there are more great games to play, more devices to play them, and best of all, more people than ever playing. That growth helped make XBOX what it is today, and we've helped shape the industry in return, from bringing hard drives to consoles and online gaming through Xbox Live to Game Pass and cloud gaming, alongside franchises that have brought millions of people together.
In recent weeks, we've seen games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support. Windows PC builds have been translated to run on Apple Silicon or ported to run inside a browser through WebAssembly and WebGPU, the latter now approaching 90% global browser support. Perhaps more surprisingly, we've seen many of the biggest games in the world have been remixed into the source code of another.
These experiments challenge long-held assumptions about our industry: the tether between software and hardware, the boundary between creation and play, and how people discover and experience games. While it is hard to predict the future of gaming, it is easy to see the possibilities in making great games easier to access, giving old games new life and allowing more players to become creators and co-creators. These are unmistakably good outcomes for players, even when (and sometimes because) they challenge our existing business models.
To explore these possibilities, I’ve asked Scott to stand-up XBOX LABS, a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience. We'll build in the open, learn from what people do, and measure success by whether more people are playing and creating.
I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We've spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have.
Our priorities aren't changing. We remain committed to the 4Cs, to making great games, to our hardware and to being responsible stewards of IP and the communities built around it. LABS gives us a way to explore new technology that is game design led without abandoning the work already underway.
Asha
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cdixon.org/2010/09/12/if-you…
good reminder for the day - thank you @cdixon
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This is awesome
On the one hand crazy how fast teams are replicating and building on top of the Jev announcement
On the other hand: how did no one at the big labs come up with this sooner.. validates many VC neolab investments
Last week the GC AI eng team paused work for the day to do a hackathon seeing what we can build with @typesafeai Jev
38 projects and experiments later, here are some of the demos 🧵
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in a lot of ways its overwhelming to have so much choice for the same product, i don't know who to ask for help figuring out what restaurants to set notifies on resy for or help me plan my run route or draft this email reply in my inbox
after this era of general agents and land grab i think we then see a bunch of hyper specific personal agents pop: personal finance agent, health and wellness trainer, relationship counselor, sous chef...
i just want to someone to be my go to "guy/girl" for that one specific thing
as in life i assume people don't want workout advice from their financial advisor nor do they want stock tips from their personal trainer (not that i currently have either)
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New world product dilemma:
(Assuming your company is charging per seat like Harvey or Rogo)
Company does great when expanding initially and while the product is getting better. Rogo and Harvey were deployed across firms and usage was none cause the product sucked.
Once your product starts to do well and usage takes off, margins begin to tank cause you aren’t pricing your tokens properly. Then you have to entirely rebuild your product around token optimization and consider new pricing models for deployment
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Apple makes a bid they couldn't refuse? @markgurman you gotta know
Oura pulls its IPO just a day before planning to go public. bloomberg.com/news/articles/…
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