And automation is the future so this is not looking good for them
Ford's Q3 earnings just came out: The company's EV unit (called Model e) lost $1.1 billion in Q3, with an EBIT margin of -86.5%. EV revenue was $1.2 billion, -33% YoY.
Ford: "Volume and revenue down, driven by discontinuation of F-150 Lightning and right-sizing of Mustang Mach-E production to customer demand."
Overall company earnings:
• EPS: $0.49 adj vs. $0.40 exp
• Automotive rev: $46.1B vs. $46.2B exp
• EBIT: $2.66 billion
Ford expects to unveil its next-generation EV - which will be a smaller EV pickup truck - in early 2027. They're aiming for a $30k starting price and a launch late next year.
Crazy how @Waymo almost caused a few accidents
Brandon Tyler retweeted
Tesla's Cybercab Robotaxis were involved in zero crashes or accidents during their first two weeks of public rides, according to the latest NHTSA data.
Couldn’t agree more @aggiembk => @lukeevangelist_
🤖 Made with AI
As we near SEC basketball season, I thought I’d give yall a breakdown of who I’ve found to be the best follows for each fanbase ⬇️🏀
Arkansas: @pinto479
Auburn: @Auburnanytime
Alabama: @BamaHistory
Florida: @gatorsszn
Georgia: @UGAHoopsMafia
Kentucky: @rarerookies
LSU: @Tingle__Co
Mississippi State: @DudyNobleField
Missouri: @ShowMeZou
Oklahoma: @OUHI_BLENDA
Ole Miss: @EverythingRebs
South Carolina: @GamecockWill69
Tennessee: @Austin_Vols
Texas A&M: @lukeevangelist_
Texas: @BigOnBasketball
Vanderbilt: @vandy_62
Now I want to go renew my @TexAgs sub
Brandon Tyler retweeted
POSTER GIVEAWAY 🖼️
Win a one-of-one Texas A&M basketball poster from our media day set!
HOW TO ENTER: Follow @aggiembk and retweet this post.
We will select 2 winners from each platform! Entries close Monday, Oct 12 at 11:59 PM CT.
“Where do I pay?” Long $TSLA
Great advice
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
Well, you don’t see that every day welcome to Denton @realDonaldTrump
This is huge. Providing an income stream for just sharing your internet.
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