I love birds, bridge, bots, beer, bears, beets, Battlestar Galactica. Electrify everything. Helping parents drowning in family logistics: superduperlabs.com
Anthropic: Here's an omniscient God for $20.
Everyone: meh. sometimes it says "load-bearing"
What's the right analogy here? Not quite bike shedding. Maybe Rivian turn signal being a little loud? Moses going to get the 10 commandments and the people deciding to worship the golden calf?
Not Dehli, not Beijing, not LA. Madison WI. As long as we continue to burn oil and natural gas wildfires will only get worse and ruin our summers. More EVs, more heatpumps, more solar can't come quick enough.
The new ChatGPT mobile app audibly belly-laughing at my jokes (and the "hahaha" not being in the chat transcript) is unlike anything I've experienced. Is it baked in the model? Explicit feature of the mobile app? I'd love a tech talk by the engineering team that pulled that off! @romainhuet or @dkundel can we make it happen?
Congrats to the @OpenAIDevs team on the big ships today - a ton of work to pull all of this together (API, apps, everything in between), and the 5.6 models seem really solid.
This is a fun week! Fable authored my estate plan and now running adversarial reviews with GPT 5.6 Sol Ultra, Meta Muse Spark 1.1, Grok 4.5. Very different feels than code reviews - healthy mix of verifiable citation, interpretation, legal prose, judgement, and risk.
Fable observation: it *loves* to write Python code to edit documents/prose instead of just generating output tokens and saving into a file. Esp when there's a bunch of docs to edit. For example:
$ python3 << 'PYEOF'
import pathlib
def sweep(files, reps):
for f in files:
p = pathlib.Path(f)
t = p.read_text()
for old, new in reps:
assert t.count(old) == 1, f"{f}: {old[:50]}"
t = t.replace(old, new)
p.write_text(t)
print("OK", f)
Introducing Model Y Long Wheelbase – now available in the US & Puerto Rico
A 3-row, 6-seat configuration that brings exceptional interior space with ample headroom & legroom for all passengers
0-60 in 4.4 seconds
325 miles of range
– Front row: Heated/ventilated seats w/ powered thigh cushion
– Second row: Heated/ventilated captain seats w/ powered armrests & one‑touch fold
– Third row: Heated seats w/ power recline, one‑touch fold & child seat anchors
– Improved airflow, increased efficiency & more range
– 89 cu ft of trunk space: with 6 passengers, trunk still fits a 28" and 20" suitcase each, plus frunk holds an additional 20" suitcase. Oversized items like snowboards and bikes also fit easily
– Engineered for safety w/ seat belts & side air bag optimized for second & third row
– Upgraded acoustic glass & suspension to minimize road noise
– Adaptive damping for a smooth, stable ride
– Staggered tires for enhanced grip
– Larger tailgate for better rear visibility & bigger windows overall to deliver great views from every seat
– 16" first row & 8” second row touchscreens + 19-speaker immersive Tesla Audio
– Upgraded 50W wireless charging pads w/ active cooling & charging ports for all other seats
– FSD Supervised & integrated Grok AI
tesla.com/modely/design#over…
Used Opus 4.8 in a /loop to do adversarial review of some legal documents last week. Looped for a few hours until we got to 2 consecutive passes with zero findings. Today I asked Sonnet 5 the same and it found 17(!). That was really surprising.
Honest question:
Is anyone actually making money from these weekend AI projects, or are we all just building apps that only run on localhost and posting screenshots on X?
The @Spotify Home tab has become the poster child for enshittification.
Sponsored artists, concerts in my area, auto-play videos, scrolling lyrics, random podcast suggestions, audiobook pushes...
As a wise man once said: You've changed, man! It used to be about the music