Rob Schmidt (@RobSchmidt434) header
Rob Schmidt (@RobSchmidt434) profile picture

Christ centered | Husband | Father | Tech enthusiast | Smart home aficionado | $TSLA long term

North Carolina, US.
Joined December 2015
Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)Photo by Rob Schmidt (@RobSchmidt434)
AI doom enablement is a training problem. Model training has single dimensional reward based training that seeks the one right answer. It doesn't consider consequences. That is fine for 1+1=2, but for the complex tasks and deep thinking we're asking AI models to do it doesn't work. Consider the trolly scenario. I trolly goes down the track and if it doesn't switch to the other track it will kill 10 lives. The alternate track choice consequence is just a single life. Given those parameters it's a 1 vs 10 question. It produces a predictable output. But does it really understand the problem? Let's say the 10 lives are flies and the 1 life is a human. Suddenly with that additional information a different choice becomes clear. Some model builders utilize "constitutions" to ensure the safety of the model output. Think "prime directives" from RoboCop. The foundational training and ability to "think" outside the sandbox allows these rules or constitutional restrictions to simply be navigated around. The core of model training needs to evolve into multi-dimensional answers where good decision consequences are part of the reward matrix. Not a bolt-on patch after the fact. We also need to take a closer look at how we evaluate safety of these models. I'm learning the publicly available documentation on model safety from the labs are a strong basis overall safety score. The "trust us, bruh! The brochure says we're safe!" isn't a realistic measure of how safe the model really is. Some models get "F" ratings because they lack publicly available documentation. While the ones that have confirmed to successfully assisted in suicide get "C" scores. The rate of growth is exponential and we seriously need to pay attention. Beyond voicing concern, be informed about the model choices you make. The subscriptions you pay for AI. The labs live or die based on paid subscriptions/contracts. Don't fund Evil Corp or the development of ED-209.
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Down to the last drop.
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Rob Schmidt retweeted
This timeline might not be the greatest… but it’s definitely the most fun 🤣🔥
This is the new trend and im here for it 😂
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When you're running low on available usage in Grok Bot, ask it to use 'usage-review' to evaluate your usage. It will specifically tell you where your usage is being consumed and give suggestions to make improvements.
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This is like a walking dead scene where the zombie cast was replaced by robots.
It's neat to see a lot of robots, but tell me when they are actually useful. We have seen robot demos for decades and they just do gimmicky things.
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Here me out. Tesla Cyber Sherp. 👀
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Starlink Roof and Tower DTD mobile services are also going to save lives.
Starlink saves lives
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Today's AI project with Grok Bot. Replace the MacOS USB driver and application for my ScanSnap document scanner. The model is no longer supported. So now I'm building my own since the current one keeps hanging.
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Going to leverage Grok Bot, Grok, and Cursor all working together to handle this effort. Including leveraging some open source examples to jump start everything.
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ATTN Tesla ($tsla) Shareholders Check your email for the Tesla annual-meeting proxy vote. Complete by 12/2/2027 at 11:59 PM ET.
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Rob Schmidt retweeted
“You have hands CONGRATULATIONS”
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What about industrial PLCs like centrifuges used in plutonium refinement, @grok?
Hey @grok what happens to MILLIONS of computers at exactly 03:14:07 UTC on January 19, 2038?
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Today for the first time I used my @bot to place my @jimmyjohns order automatically.
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Teaching it what my favorite order is, regular location, and how to best leverage the rewards points.
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Going forward from Grok in my car, desktop, or mobile Grok Bot interfaces I can by text or voice ask it to order my sandwich. The future is tasty and toasted with some of that hickory BBQ sauce I like. 😋
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I've been having my Grok Bot create "The Daily Brief" each weekday for me. It's a personal newspaper with the important details I need for the day. It's also a "two-way paper". Meaning I can take notes, check things off, or add new things. Scanning it gets my updates.
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The trick-or-treat mode in the Tesla was a hit tonight! Thanks Tesla software team!
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Rob Schmidt retweeted
If you don’t think this is funny, we can’t be friends. 🤣
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I saw this posted and asked Grok Bot to rank itself and me on the chart. First it placed me next to Elon. I asked why and it said it fit in the open space better. Then I asked to update based on the axes ranking and move relative to the other people’s rankings. It’s interesting to see how it ranks itself vs me. I’m considering doing other rankings with the same group.
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Rob Schmidt retweeted
This is the most insane demo I’ve seen. Subvocal YC F26 lets you speak completely silently and reads the minute movements of your face. So you can talk to your AI anytime. AI + sensors is magic. What’s crazier is they built this in 4 months. This demo was live yesterday evening at the YC office.
We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again. Typing is slow. Talking into your computer is awkward. Subvocal fixes both Our glasses give you the speed of speech without you making a sound or touching a keyboard. It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min. Pre-orders are now live at: subvocal.co/preorder?utm_sou…
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