HN user

ranman

1,440 karma

Caylent CTO. Formerly of Facebook, AWS, SpaceX, MongoDB, and NASA. Opinions expressed here are my own and don't represent my employer.

randall.hunt@caylent.com

[ my public key: https://keybase.io/ranman; my proof: https://keybase.io/ranman/sigs/GS3wz0ln3f5bJCGpSPMkU24SwdykGnldpDoA1i8Optw ]

Posts32
Comments372
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caylent.com 2y ago

Bedrock First Impressions

ranman
1pts0
caylent.com 3y ago

Exploring Rust and Amazon CodeWhisperer

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7pts0
github.com 3y ago

Mountpoint – file client for S3 written in Rust, from AWS

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257pts96
aws.amazon.com 3y ago

How AWS Amplify Works with Open Source

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4pts0
twitter.com 4y ago

Best AWS re:invent videos from 2021

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2pts0
caylent.com 4y ago

Building SaaS Products Efficiently on AWS

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3pts0
karpenter.sh 4y ago

Karpenter – Just in time nodes for Kubernetes clusters

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2pts1
aws.amazon.com 6y ago

Amazon Connect adds chat as a channel

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5pts0
servicefull.cloud 6y ago

Lessons learned using single-table design with DynamoDB and GraphQL

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60pts9
aws.amazon.com 6y ago

CloudFormation Third Party Resources

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3pts0
aws.amazon.com 7y ago

AWS CloudFormation Supports AWS Lambda Powered Macros

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6pts0
aws.amazon.com 7y ago

Kinesis Data Streams HTTP/2 Support

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9pts0
aws.amazon.com 8y ago

Automatic Machine Learning Model Tuning on AWS

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3pts1
twitch.tv 8y ago

AWS Launchpad Live on Twitch.TV/AWS – sf summit recap and live demos

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2pts0
aws.amazon.com 8y ago

AWS Launches Service Discovery for ECS

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3pts0
confir.io 8y ago

Show HN: Confir.io helps you find professional conferences

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15pts3
www.twitch.tv 8y ago

Deep learning livecoding on twitch.tv

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5pts0
www.twitch.tv 8y ago

AWS Releases Glue, Migration Hub, Macie at NY Summit

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2pts0
medium.com 9y ago

Learn MXNet machine learning library – 6 part guide

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3pts0
live.awsevents.com 9y ago

AWS's James Hamilton livestream at reinvent now

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1pts1
aws.amazon.com 9y ago

Debunking Misleading Benchmarks Of Redshift vs BigQuery

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168pts91
www.teslamotors.com 10y ago

Tesla Motors Shareholder Meeting Livestream

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1pts0
losangeles.craigslist.org 10y ago

Craigslist: Slightly Used Falcon9

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28pts0
my.mlh.io 10y ago

My.mlh.io – hackathon participant data

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1pts0
prettyprintf.com 10y ago

Pretty Printf Code Posters

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2pts0
blog.ranman.org 10y ago

Cleaning up AWS with Boto3

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35pts3
www.youtube.com 11y ago

MLH Local Hackday (worldwide hackday)

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5pts1
reinvent.awsevents.com 11y ago

AWS re:invent livestream

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4pts0
www.twilio.com 12y ago

Build Your Own Lockitron With Twilio, Arduino, and Node.js

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189pts63
ssbkyh.com 12y ago

Snapshot Of Every Click In A Day

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1pts0

we built the LLMs unethically, and that they waste far more energy than they return in value

If these are the priors why would I keep reading?

Caylent has been testing this for quite some time and I have to say it's an interesting take. With claude code you can shift between planning and coding modes and this offers a similar approach. The speed is quite good and the results are solid. The spec approach is solid but it takes a learning curve. Some of the tooling and autojumps take a bit to get used to because they differ from the other IDE approaches.

Overall I do believe this has accelerated our development and I'm interested to see where it goes. I don't think it's a direct comparison to claude code or cursor - its a different approach with some overlap.

You get a scale at AWS that is hard to find elsewhere. There are still a huge number of very smart people there. You can learn a lot. I loved my time at AWS.

That said there are a ton of cons. There's an entrenched management class that is disconnected from reality. There are a number of ~L8-L10 folks who don't believe or understand how they're falling behind the cloudflares and other providers. There is a bizarre arrogance in Seattle that masquerades as "willing to be misunderstood for long periods of time". People aren't afraid enough.

What AWS will struggle with over the next few years is verifying the results of the narratives they tell themselves. At some point along their evolution a disconnect between narrative and reality happened and someone needs to bring everything back to a baseline of reality. Leaders tell a story of their success (that I'm sure they themselves believe) and no one follows through to actually verify the results.

This issue of lack of narrative/reality baseline, to me, is a cancer at the heart of AWS and if it can be addressed then I think they can recover and shine. Otherwise they'll fall into the same trap as MSFT back in the 90s/2000s where they think everything is going just fine while the floor falls out from under them.

I don't get this take... what is the scam part? It's a real device that people can buy, and it does what it was purported to do... maybe it's not as amazing as people hoped, but does that make it a scam?

Be lucky?

I don't have any particular advice. I've been very lucky to join a few companies that were on the run up at the time but I never really knew at the time that they were going to be successful.

I just think blindly pursuing passion to the exclusion of profit will leave most people happy (or not) but impoverished and some people happy, lucky, and wealthy.

It was really just a tongue in cheek comment. I think Paul's advice is inspirational but it should be checked with a healthy dose of reality.

Don't try to guess whether gene editing or LLMs or rockets will turn out to be the most valuable technology to know about. No one can predict that. Just work on whatever interests you the most.

This optimizes for Paul's outcomes not for the individual outcomes.

Every single one of these could be engineered away.

You clearly didn't read half of the article. 50% of these are purposeful chimes.

Also, why? What is the value of making a compressor or fan more quiet on the 3? It would be much better to lower the cost. Worry about the sound on the higher end vehicles but let the 3 be low cost.

SVB represents $200B assets and the customers are in large part revenue negative or growing startups. That doesn’t make it Ok but it cannot be representative of the greater economy.

There are ~1900 publicly traded companies with a market cap over $1B. (NAMER) There are over 1000 privately owned companies with valuations over $1B. (NAMER?)

Writing off startups as not contributing to the economy (jobs, spending with vendors, etc.) is a harder to argue in 2023 than it would have been in the past.

This very well could be the beginning of a stall in the greater economic engine. Except this time it isn't necessarily fueled by failure of the underlying assets. Instead the underlying assets may fail because of the banks. Which could cascade into additional failures across the system.

The parent comment is neither factual nor advisable.

You build greenfield in cloud precisely because it is greenfield and the utilization isn't well understood. Cloud options let you adjust and experiment quickly. Once a workload is well understood it's a good candidate for optimization, including a move to self managed hardware / on prem.

Buying hardware is a great option once you actually understand the utilization of your product. Just make sure you also have competent operators.

The amazon recruiters are some of the most idiotic humans you'll ever meet. At least in NAMER. When I was hiring at AWS I would actively try to avoid the candidate talking to the recruiter too much because the recruiter would frequently say things that were entirely false.

I would judge a vendor or consulting firm based on their marketing website. Why wouldn't I judge a car maker?

From the article: "Police and prosecutors generally don’t expect much evidence from Echo recordings — if any — because Echo speakers are activated with a wake word — usually “Alexa,” the name of the voice assistant."

They complied with a legal order - they didn't submit it to the FBI.

Do you need some more tinfoil for your hat?