Richard Feynman's wife died on June 16, 1945.He got the call saying her condition was deteriorating, borrowed a car to drive the 100 miles from Los Alamos back to Albuquerque, and made it to her bedside. Barely.After she passed, he went for a walk near the hospital. He | Continue reading
I mentioned the “We’ll See…” Fable1 to a friend at Friday Coffee this morning. He immediately raised his mug for a cheers. “Brother I love that fable.” The status quo never stays. Bad things don’t last forever. Good things don’t last forever. This has been so universally true in … | Continue reading
I mentioned the “We’ll See…” Fable1 to a friend at Friday Coffee this morning. He immediately raised his mug for a cheers. “Brother I love that fable.” The status quo never stays. Bad things don’t last forever. Good things don’t last forever. This has been so universally true in … | Continue reading
I mentioned the “We’ll See…” Fable1 to a friend at Friday Coffee this morning. He immediately raised his mug for a cheers. “Brother I love that fable.” The status quo never stays. Bad things don’t last forever. Good things don& | Continue reading
Yesterday, I woke up, hopped on a Citi bike, and rode to the gym. It took 5 minutes. The gym was so crowded I left and walked to Joe & The Juice back by my apartment. I don’t like Joe & The Juice. But I do like their laptop policy. After pushing code all morning, I went home to m … | Continue reading
Yesterday, I woke up, hopped on a Citi bike, and rode to the gym. It took 5 minutes. The gym was so crowded I left and walked to Joe & The Juice back by my apartment. I don’t like Joe & The Juice. But I do like their laptop policy. After pushing code all morning, I went home to | Continue reading
Yesterday, I woke up, hopped on a Citi bike, and rode to the gym. It took 5 minutes. The gym was so crowded I left and walked to Joe & The Juice back by my apartment. I don’t like Joe & The Juice. But I do like their | Continue reading
GPT-4 surpasses any sane definition of “AGI” “AI” (without the “G”) is just a fancy way of saying machine learning - finding patterns within giant datasets in order to solve a single problem. E.g. analyzing billions of interstate driving miles to build Autopilot, billions of pict … | Continue reading
GPT-4 surpasses all sane definitions of “Artificial General Intelligence.” AI (without the “G”) is a fancy way of saying machine learning - finding patterns within giant datasets in order to solve a single problem. E.g. analyzing billions of interstate driving miles to build Auto … | Continue reading
GPT-4 surpasses all sane definitions of “Artificial General Intelligence.” AI (without the “G”) is a fancy way of saying machine learning - finding patterns within giant datasets in order to solve a single problem. E.g. analyzing billions of interstate driving miles to build Auto … | Continue reading
I tolerate longer lines when buying coffee than I do when going through the airport. Why? I got a push notification at 5:15 this morning on the dot: “Your Lyft has arrived. Gabe will wait for 5 minutes.” Right on time. We crossed town, and then crossed the Williamsburg Bridge. As … | Continue reading
I tolerate longer lines when buying coffee than I do when going through the airport. Why? I got a push notification at 5:15 this morning on the dot: “Your Lyft has arrived. Gabe will wait for 5 minutes.” Right on time. We crossed town, and then crossed the Williamsburg Bridge. As … | Continue reading
I tolerate longer lines when buying coffee than I do when going through the airport. Why? I got a push notification at 5:15 this morning on the dot: “Your Lyft has arrived. Gabe will wait for 5 minutes.” Right on time. We crossed town, and then crossed | Continue reading
The coolest thing about these new LLM’s is their ability to handle few-shot learning. Give it a few examples, and GPT-3 will extrapolate that out to whatever else you throw its way. There’s no need for hundreds of thousands of pieces of training data just to classify a paragraph’ … | Continue reading
The coolest thing about these new LLM’s is their ability to handle few-shot learning. Give it a few examples, and GPT-3 will extrapolate that out to whatever else you throw its way. There’s no need for hundreds of thousands of pieces of training data just to classify a paragraph’ … | Continue reading
The coolest thing about these new LLM’s is their ability to handle few-shot learning. Give it a few examples, and GPT-3 will extrapolate that out to whatever else you throw its way. There’s no need for hundreds of thousands of pieces of training data just to | Continue reading
I was born in 1990. Two things have changed since then: Water fountains Lightbulbs A couple years ago, I landed in Albuquerque en route to Taos. The jet bridge from the Southwest plane to the terminal was a time machine to the 1990’s. Every store logo had that brutalist Seinfeld … | Continue reading
I was born in 1990. Two things have changed since then: Water fountains Lightbulbs A couple years ago, I landed in Albuquerque en route to Taos. The jet bridge from the Southwest plane to the terminal was a time machine to the 1990’s. Every store logo had that brutalist Seinfeld … | Continue reading
I was born in 1990. Two things have changed since then: Water fountains Lightbulbs A couple years ago, I landed in Albuquerque en route to Taos. The jet bridge from the Southwest plane to the terminal was a time machine to the 1990’s. Every store logo had that | Continue reading
I made this list on New Year’s Eve. So far, so good. In 1pm-9pm eating window Bill’s Pizza Night every week Daily writing AI Sunday tea Fewer todos Short sprints instead of long jogs Out Scrolling in bed Scrolling in general Fake deadlines Deli meat | Continue reading
I made this list on New Year’s Eve. So far, so good. In 1pm-9pm eating window Bill’s Pizza Night every week Daily writing AI Sunday tea Fewer todos Short sprints instead of long jogs Out Scrolling in bed Scrolling in general Fake deadlines Deli meat | Continue reading
I made this list on New Year’s Eve. So far, so good. In 1pm-9pm eating window Bill’s Pizza Night every week Daily writing AI Sunday tea Fewer todos Short sprints instead of long jogs Out Scrolling in bed Scrolling in general Fake deadlines Deli meat | Continue reading
It’s pouring rain. I take the Bart to Fidi. Everybody on the train is wearing a mask. As we roll to a stop at Embarcadero, the train loses power. We wait “for the generator to come on so we can open the doors.” Finally outside, I pass 10 people on the three-block walk to 345 Cali … | Continue reading
It’s pouring rain. I take the Bart to Fidi. Everybody on the train is wearing a mask. As we roll to a stop at Embarcadero, the train loses power. We wait “for the generator to come on so we can open the doors.” Finally outside, I pass 10 people on the three-block walk to 345 Cali … | Continue reading
It’s pouring rain. I take the Bart to Fidi. Everybody on the train is wearing a mask. As we roll to a stop at Embarcadero, the train loses power. We wait “for the generator to come on so we can open the doors.” Finally outside, I | Continue reading
I got home and unzipped my backpack. My laptop wasn’t in its padded pocket. I fired up Find My… and there it was, pulsing on the map, at Park and | Continue reading
I got home and unzipped my backpack. My laptop wasn’t in its padded pocket. I fired up Find My… and there it was, pulsing on the map, at Park and 17th about 1.5 miles away. My first reaction was to panic. How am I going to provision these new accounts? | Continue reading
I got home and unzipped my backpack. My laptop wasn’t in its padded pocket. I fired up Find My… and there it was, pulsing on the map, at Park and 17th about 1.5 miles away. My first reaction was to panic. How am I going to | Continue reading
I ordered a paperback book from Amazon last night. The last book I ordered was a paperback, too. So was the one before that. In every dimension, the | Continue reading
I ordered a paperback book from Amazon last night. The last book I ordered was a paperback, too. So was the one before that. In every dimension, the Kindle is better. It’s slimmer, lighter, holds thousands of books, syncs to the computer, has a built-in dictionary, simplifies hig … | Continue reading
I ordered a paperback book from Amazon last night. The last book I ordered was a paperback, too. So was the one before that. In every dimension, the Kindle is better. It’s slimmer, lighter, holds thousands of books, syncs to the computer, has a built-in dictionary, simplifies hig … | Continue reading
Technology is a concentrating force. It always has been. Everybody sewed their own clothes until we built textile factories. It used to take one | Continue reading
Technology is a concentrating force. It always has been. Everybody sewed their own clothes until we built textile factories. It used to take one farmer to feed four people. Now each farmer feeds 130 people. Home Depot killed thousands of local hardware stores. Opendoor is replaci … | Continue reading
Technology is a concentrating force. It always has been. Everybody sewed their own clothes until we built textile factories. It used to take one farmer to feed four people. Now each farmer feeds 130 people. Home Depot killed thousands of local hardware stores. Opendoor is replaci … | Continue reading
It’s endearing how college kids abbreviate everything. “How’s that prof?” “Meet you in the caf.” “Skirt skirt.” I lived on “Lup 7” in college. There | Continue reading
It’s endearing how college kids abbreviate everything. “How’s that prof?” “Meet you in the caf.” “Skirt skirt.” I lived on “Lup 7” in college. There were 16 of us crammed like sardines in cinderblock cans at the end of the hall. Two to a room. One Thursday, I left Tin Roof early. … | Continue reading
It’s endearing how college kids abbreviate everything. “How’s that prof?” “Meet you in the caf.” “Skirt skirt.” I lived on “Lup 7” in college. There were 16 of us crammed like sardines in cinderblock cans at the end | Continue reading
I was in Nashville at a friend’s house, eating shrimp, drinking Bud Light. The election was called not long after we finished | Continue reading
Four years ago, I was in Nashville at a friend’s house, eating shrimp, drinking Bud Light. The election was called not long after we finished dinner. I remember thinking even Trump looked surprised. Sam and I walked back to our house on the other side of 12th South. It was cold. | Continue reading
Four years ago, I was in Nashville at a friend’s house, eating shrimp, drinking Bud Light. The election was called not long after we finished dinner. I remember thinking even Trump looked surprised. Sam and I walked back to our house on the other side of 12th South. | Continue reading
Error on Second Breakfast | Continue reading
“I wanted Uber Eats because it was raining. Didn’t end up ordering because it was raining.” - Recent text from a friend Paying for somebody else | Continue reading
“I wanted Uber Eats because it was raining. But didn’t end up ordering because it was raining.” - Recent text from a friend Paying for somebody to deliver burgers and fries usually feels fine. They could decline the gig if the price isn’t fair. But when you’re sitting on a bench … | Continue reading
“I wanted Uber Eats because it was raining. But didn’t end up ordering because it was raining.” - Recent text from a friend Paying for somebody to deliver burgers and fries usually feels fine. They could decline the gig if the price isn’t fair. | Continue reading
I interrupt the highly irregular but continually aspirational drip of daily Second Breakfast prose to briefly act like one of those recruiters who | Continue reading
We’re looking for a Rails developer who can contribute about 60 hours/month to help us ship an amazing Bottle 2.0. Bottle combines memberships + | Continue reading
I interrupt the highly irregular but continually aspirational drip of daily Second Breakfast prose to briefly act like one of those recruiters who scrapes your email off Github. Two things. We’re looking for a Rails developer who can contribute about 60 hours/month to help us shi … | Continue reading
Growing up, I remember “Save Public Radio” stickers all over the place. Beanie-wearing hipsters would sip lattes and bemoan the iPod’s war on radio. | Continue reading