mattas

6 ms·

61.
Robotaxis Aren't as Autonomous as They Seem(junkoyoshidaparis.substack.com)
4 points by mattas 5mo ago|0 comments
62.
Google is currently struggling to define words like disregard, stop and ignore(engadget.com)
22 points by mattas 5mo ago|8 comments
63.
Waymo pauses Atlanta service as its robotaxis keep driving into floods(techcrunch.com)
369 points by mattas 5mo ago|478 comments
64.
by mattas 5mo ago
Will be interesting to see how the market reacts in real-time to flight tests going forward post-IPO. Usually big events (either good or bad) are announced pre- or post-market but launch windows don't care about market hours.
65.
by mattas 5mo ago
This is what I call trad coding.
66.
by mattas 5mo ago
This is the real unlock.
67.
AI Is Technology, Not a Product(daringfireball.net)
4 points by mattas 5mo ago|0 comments
68.
by mattas 5mo ago
I'm on the lookout for a wireless ball mouse. I want to relive the glory days of cleaning out the little cylinders on the inside of the mouse without being constrained by wires.
69.
by mattas 5mo ago
Waiting for the YC startup in the next batch that provides tokenmaxxing-as-a-service.
70.
by mattas 5mo ago
Can't wait to see the JDs asking for 10 years of LLM experience.
71.
by mattas 5mo ago
Here's their soon to be updated(?) handbook with the CREDIT values: https://handbook.gitlab.com/handbook/values/
72.
by mattas 5mo ago
This is what makes measuring productivity so hard. Let's say you're a worker that is responsible for updating a status of an order with a bunch of metadata. One day, 100 orders come in for you to update. The next day, you get 50
73.
by mattas 5mo ago
I can't figure out how there's both too little supply (so a dramatic need for more data centers) but also too little demand (so labs subsidize inference).
74.
by mattas 6mo ago
Wonder how many tokens would be saved if everyone just put “be brief” in their prompts. Also wonder if there is some perverse incentive for models to be verbose to juice tokens.
75.
by mattas 6mo ago
It's interesting. On one hand the labs say that they can't keep up with demand for tokens. On the other hand there is an entire ecosystem built around figuring out which magic words will make LLMs output fewer tokens.
76.
Upper stage impacting the moon on 2026 August 5(projectpluto.com)
2 points by mattas 6mo ago|0 comments
77.
by mattas 6mo ago
This really sounds like an AI voice agent transcribed "Thirty Seconds to Mars" to "30 seconds for Bruno Mars" and then no one actually proof-read the thing.
78.
by mattas 6mo ago
I've see a post like this every week for the last 2 years. Are these models actually getting worse? Or do folks start noticing the cracks as they use them more and more?
79.
by mattas 6mo ago
Not good for employees that are being measured by their token usage.
80.
by mattas 6mo ago
I don't hate this idea. The core premise being that I want an easy way to tune the tone/personality of how a model talks to me and generates content. It's definitely possible to tune but it's not obvious for most users.
81.
by mattas 6mo ago
Except for the whole PDF-industrial complex. Adobe has a long life ahead (maybe a sad one) as long as PDFs are the document format of choice.
82.
by mattas 6mo ago
Agreed. Hopefully something materializes but who knows. These tractors actually exist.
83.
by mattas 6mo ago
This is pretty cool! Kinda similar to what Slate is doing with cars.
84.
Ordering with the Starbucks ChatGPT app was a true coffee nightmare(theverge.com)
3 points by mattas 6mo ago|0 comments
85.
by mattas 6mo ago
Is this _actual_ spend? Like dollars actually changing hands? Or is this "we said we are going to invest $X"? What about the circular agreements?
86.
by mattas 6mo ago
This notion that "we don't have enough compute" does not cleanly reconcile with the fact that labs are burning cash faster than any cohort of companies in history. If I am a grocery store that pays $1 for oranges and sells th
87.
by mattas 6mo ago
Hard for me to reconcile the idea that they don't have enough compute with the idea that they are also losing money to subsidies.
88.
by mattas 6mo ago
Coincidentally, tokens are also the currency at arcades. So what's old is new again.
89.
Milgram's subjects were never aligned(hollisrobbinsanecdotal.substack.com)
1 points by mattas 6mo ago|0 comments
90.
by mattas 7mo ago
https://archive.is/ad64x

More ›