Pete James

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Pete James

Pete James

@petejames

CEO, LinkaChart Medical, a health AI that prompts you! Previously Senior Engineer at Google (Android, Play Store, ChromeOS, Photos)

San Francisco, CA Katılım Ağustos 2011
2K Takip Edilen2.5K Takipçiler
tayyabsalman
tayyabsalman@Allfiesolomon·
they should have a dislike button on twitter too
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John Zeratsky
John Zeratsky@jazer·
🚨 Applications for Character Labs G6 are due in 3 weeks!! The program for this group will be radically different from before, and we think it's going to be much more effective. Can't wait to run it down live with the next group of founders! 👉 If you're at inception/idea stage and interested in working with us, please take a look at character.vc/labs and let me know if you have any questions! Here's what's changing for G6, and why: 1. All-new Sales Sprint and Marketing Sprints. Many founders in our portfolio are now finding and signing customers in weeks, not months — often well before they have a "finished" product ready to sell. We reverse-engineered their techniques and designed new sprints to help every founder start selling uncomfortably fast. 2. All-new Pitch Sprint. Founders in our portfolio have raised from a16z, First Round, Index, Obvious, Bessemer, General Catalyst, and other elite investors. We completely revamped our Pitch Sprint to capture the most important lessons from the founders who've had the most success in fundraising. 3. Demo Day! The biggest change EVER to Character Labs. For the first six groups, we provided bespoke support to each team as they were ready to raise, thinking it was a better experience. I think we were wrong on this one — by encouraging founders to raise at the same time, we can help them more AND provide a better experience to investors (who can meet 15 great founders in one place instead of being inundated by emails from us). Caveat: Our first-ever demo day (for G5) is in a couple of weeks, so we reserve the right to be wrong again and change course :) 👇 Bottom line, we are incredibly excited about these changes and think G6 will be the best ever. But more than that — we are just so eager to meet and work with this next group of founders. Because Character Labs is a special program. Biased of course, but I really think that's true. We believe it's the best way to get started and build momentum in the early days of founding of a startup. If this resonates, we'd love to meet you. Let's talk. If not for Labs, maybe we find another way to work together. If not for G6, maybe another time. But please, check out what's new in the comments, head over to character.vc/labs, and get in touch if you are interested in working together!
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Patrick Collison
Patrick Collison@patrickc·
• According to the story, the dog's cancer has not been cured. • Absent all regulatory and manufacturing constraints, we could not just synthesize magic mRNA cancer cures. The technology is very promising, but it's not yet any kind of panacea. • The emergent system of regulators and manufacturers is indeed far too conservative, and small-scale experimentation is much harder than it should be. More people should read the first part of The Rise and Fall of Modern Medicine. Recommend @RuxandraTeslo, @PatrickHeizer for more.
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Pete James
Pete James@petejames·
My mind is racing thinking about Digital Optimus / Macrohard. All the effort solving real-world driving via Tesla FSD, the vision-only approach, the bitstream into a power efficient in-house inference chip which results in controls to perfectly drive a car around the real world… all that effort, all that competence along a decade+ journey… it’s all now going to be the foundation of what creates digital office workers. Instead of cameras as a bitstream into the AI chip, the bitstream will be a video screen-share of a desktop workstation, then instead of the output being controls which drive a car in the real world, the output will be controls which use the apps on the desktop for real-world office jobs. It controls the mouse and taps the keyboard, just like a human does. It doesn’t need to replace existing desktop software, it can just use the existing software as if it’s a human and it will be able to do full human jobs at a workstation, just like FSD is able to drive around the real world. We’re not talking about OpenClaw or Cowork here, where a simple task can be automated, we’re talking about the perception, planning and control required to perform the full work of a human behind a desktop workstation. Elon has described this as the “intuition” which then gets paired with the frontier AI models for deep thinking. The nutty part is that the decade+ effort solving self driving now compounds for Digital Optimus, it’s a massive technological sling shot. So this means: 1. Applying this solution will be an easier problem to solve than self driving, the technical ground work is there already. 2. The TAM for Digital Optimus is greater than every single office worker job so it’s bigger than the TAM for Robotaxi (autonomous transport). Also… anyone who has worked in large organizations knows that most of the time to get stuff done is the time it takes for people to organize and communicate - it’s lead time vs task time. With multiple Digital Optimus, the lead time could be measured in milliseconds instead of hours and days, emulating the work of entire companies but faster, better and cheaper.
Elon Musk@elonmusk

Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI. Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software. You can think of it as Digital Optimus AI being System 1 (instinctive part of the mind) and Grok being System 2. (thinking part of the mind). This will run very competitively on the super low cost Tesla AI4 ($650) paired with relatively frugal use of the much more expensive xAI Nvidia hardware. And it will be the only real-time smart AI system. This is a big deal. In principle, it is capable of emulating the function of entire companies. That is why the program is called MACROHARD, a funny reference to Microsoft. No other company can yet do this.

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Pete James
Pete James@petejames·
Overheard in Silicon Valley: “why does the Claude logo look like a butthole”
Pete James tweet media
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Sameer Samat
Sameer Samat@ssamat·
Android has always driven innovation in the industry through its unique flexibility and openness. At this important moment, we continue to be at the forefront of how developers distribute their apps and games on billions of devices globally. Today we are announcing big changes: – Leading the way in store choice: A registered app store program that makes installation of participating app stores easier with a streamlined flow – A new business model for Google Play with lower prices for developers: The ability to use your own billing alongside Google Play Billing, and lower service fees. These changes will make for a stronger Android ecosystem with more choice for users and even more successful developers who can further invest in higher quality experiences on mobile and beyond. The above will be rolling out in phases, subject to local laws and processes. We are also excited to announce that we’ve resolved all our disputes with Epic Games globally! Details on all of this can be found at our blog post. android-developers.googleblog.com/2026/03/a-new-…
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Pete James
Pete James@petejames·
This is a nice project. The fact that you need a 700-line "SKILL.md" for an AI agent to follow the process to request your own medical records is a reflection of the intentional friction created by the US healthcare system.
Josh Mandel, MD@JoshCMandel

x.com/i/article/2028…

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Pete James
Pete James@petejames·
I’ve never had so much fun coding as I do now with multiple agents in the CLI. The momentum is unreal. A few tips - plan mode makes all the difference. Discuss tradeoffs, assumptions, force the simplest path before a single line of code is written. For the most tricky technical stuff I plan across models and critique across them. Most of my time is in plan mode. After every few commits, force a review which forces performant code, restructuring based on simplicity and removal of dead code. Most of my model credits go towards these reviews. The code execution is the meat of the sandwich. Very little time spent on this overall. This doesn’t cost a lot of money. My go-to is to burn through Claude code $20 plan until I hit rate limit within a 5 hour window, which can sometimes be within 30 mins, the continue on pay-as-you-go @opencode with Kimi 2.5, via Zen, which uses @FireworksAI_HQ for inference in the US which is surprisingly good value, a few USD a day when heavy coding sessions. I also have annual Supergrok sub which I find is strongest for reasoning in plan mode. What a time to be alive.
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Pete James
Pete James@petejames·
I got the @heyBlueX AI device, it’s a little USB dongle that plugs into your phone which acts like accessibility mouse so it’s able to tap your phone as if you’re using it. You just ask it to do things and it figures out what is on the screen and performs actions automatically while you just watch. A couple of examples it did for me: - I asked it to process a clothes return for me, it went into my emails, searched for the order to get the order number then opened the website via browser, clicked through each step and got the USPS return QR which it then screenshot so I could easily pull it up when I got to the post office. - I asked it to file a Delaware LLC franchise tax today, it went into my google drive app to find a document with the company ID, then went to the Delaware website, navigated through the options, completed the “I’m not a robot” capture, then competed what must be one of the worst janky forms on the internet, then I asked it to open the Robinhood banking app to get my credit card details which it did no problem then switched back to the Delaware site to complete payment then saved the confirmation to the correct google drive folder. All while I just watched. Yes I’m sure a VPS AI agent could do this for me but there is something about just watching your phone while AI uses it for you and you just observe and see it happening, clarifying instructions along the way. You also don’t need to give it tools access or permissions, it’s just using whatever apps are on your phone while you watch. Magic
Tom Babb@TBabb02

just got the @heyBlueX and it's going to be everything I wish Siri was 🔵 Very interesting product by @ycombinator @OmarAbcXyz123 @FarhanBuilds

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Pete James
Pete James@petejames·
If you love Claude Code CLI, you will love love love OpenCode CLI
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Pete James@petejames·
Beautiful terminal UI is underrated
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Pete James
Pete James@petejames·
@Austen Yeah, on-prem doesn’t make much sense yet, especially for coding agents.
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Austen Allred
Austen Allred@Austen·
Every local model I try kinda sucks and isn’t near close enough to frontier models to justify buying a ton of expensive hardware to run them on. What am I missing?
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
“99% of products/services still don't have an AI-native CLI yet.”
Andrej Karpathy@karpathy

Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

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Pete James
Pete James@petejames·
This is interesting. +1 to “But every time I sit staring at the prompt input for an LLM, trying to figure out how to invoke the behavior I want”. For medical, the way we’ve been thinking about this at LinkaChart is to build an AI that prompts you. Our companion Linka will prompt you and draw out important details which become context to help with chronic complex conditions.
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@levelsio
@levelsio@levelsio·
I think it'll be more like: You chat to your LLM app and it'll just spin up an app with a UI if it feels the need Like you want to book a holiday apartment, it spins up a fancy Airbnb-like interface and books it for you You want to edit your photo, it spins up a simple but advanced easy-to-use photo editor The idea is that interfaces and apps become ephemeral to help you achieve whatever you want in a moment
LaurieWired@lauriewired

oh come on. You think your grandma wants to make her own app? Much less maintain it. Everyone neglects the mental energy it takes to even *think* of what it is exactly you want. The entire principle of apps relies on some faith that designers; and the collective feedback of their users, can come up with a workflow or design paradigm that is *better* than what you; an individual could come up with. This is true for 99% of cases. I’d be floored if even 1% of global users want bespoke applications for uber-specific needs. Not saying it’s useless; but it’s so far away from what average users want.

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Pete James
Pete James@petejames·
An indicator of the crossover from minority to majority use of coding agents has been my dev environment evolving from Cursor IDE reviewing the file changes as they happen to Opencode in the terminal and reviewing the diffs in git and investing more in automated tests.
Pete James@petejames

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