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bradleybuda

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bradleybuda@gmail.com | Co-Founder of Census (acquired by Fivetran) | and Meldium (YC W13, acquired by LogMeIn) | Before that TrackSimple, BlueKai, AWS CloudWatch

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waymo.fraud.llc 4mo ago

Steer your Waymo with your phone

bradleybuda
2pts1
avbrief.com 7mo ago

Autoland saves King Air, everyone reported safe

bradleybuda
283pts185
www.fivetran.com 10mo ago

Fivetran Acquires Tobiko Data (SQLMesh, SQLGlot)

bradleybuda
4pts0
www.jerpint.io 1y ago

I had different agents play 'The Password Game'

bradleybuda
1pts0
lambrosetti.medium.com 2y ago

Live Syncs on Snowflake: Real-time data on your current infrastructure

bradleybuda
7pts0
railsatscale.com 2y ago

Ruby Outperforms C: Breaking the Catch-22

bradleybuda
15pts0
www.tampabay.com 3y ago

Tim Burke and lawyers deny hacking Fox News, demand return of devices

bradleybuda
2pts0
census.dev 3y ago

Turn your DB into a ChatGPT plugin

bradleybuda
4pts0
census.dev 3y ago

External Garbage Collection in Ruby

bradleybuda
14pts0
www.meter.com 3y ago

Recent Apple updates leading to WiFi issues?

bradleybuda
171pts116
www.theverge.com 3y ago

Platforms Turn Boring

bradleybuda
3pts0
www.theverge.com 4y ago

Indian farmers streamed fake pro cricket matches to Russian bettors for 2 weeks

bradleybuda
2pts0
docs.aws.amazon.com 4y ago

AWS doesn't support U2F / FIDO / Yubikey for Safari users

bradleybuda
8pts3
chance.amstat.org 5y ago

Maximizing the Expected Value of a Lottery Ticket: How to Sell and When to Buy

bradleybuda
2pts0
twitter.com 5y ago

Reversing the domain generation algo to find who fell victim to SolarWinds hack

bradleybuda
2pts0
kevinkuchta.com 5y ago

Building a url-shortener with Lambda – JUST Lambda

bradleybuda
2pts1
divinations.substack.com 5y ago

LinkedIn’s Alternate Universe

bradleybuda
1pts0
blog.getcensus.com 5y ago

How to Enrich Your Snowflake Data Using External Functions

bradleybuda
5pts0
blog.getcensus.com 5y ago

Making your dbt models more useful with Census

bradleybuda
5pts0
sorbet.org 5y ago

Types in Ruby 3, RBS, and Sorbet

bradleybuda
3pts0
www.washingtonpost.com 6y ago

Airplanes Don’t Make You Sick

bradleybuda
2pts0
v2.wttr.in 6y ago

curl http://v2.wttr.in

bradleybuda
2pts1
github.com 6y ago

(Almost) Free Video Hosting on AWS

bradleybuda
12pts1
sfdem.org 6y ago

Unpatchable Vulnerability in SF Public Warning System Leads to Two-Year Shutdown

bradleybuda
2pts0
deepsource.io 6y ago

Static Analysis for Dockerfiles

bradleybuda
49pts4
deepsource.io 6y ago

DeepSource Go Analyzer Beta

bradleybuda
1pts0
www.inquirer.com 6y ago

Student who came close to hacking Trump tax returns will plead guilty

bradleybuda
2pts0
twitter.com 6y ago

Basecamp's Protest Google Ad

bradleybuda
107pts36
www.jonathanturner.org 6y ago

Introducing nushell

bradleybuda
1477pts369
www.myfonts.com 6y ago

Comic Code

bradleybuda
2pts0
98% isn't much 15 days ago

It’s very difficult for the average person to use a ten year old browser; in fact I’d offer that the only way to use a ten year old browser is to be an expert and do so intentionally.

This could also be a story of technological progress. A thought experiment - imagine you, an archaeologist, recovered the remains of our civilization, from roughly 1925 to 2025, but the only surviving artifact was televisions. You know that televisions are valuable - initially only wealthy families had them - so you used them as a proxy for riches and plotted the Gini coefficient using just the size, quality, resolution, color depth, etc. You could conclude that our society became less unequal over that period, because you miss that technology dramatically compressed the distribution of this resource and that household wealth was freed up to put to other purposes.

Not buy these index funds. If you don’t want to own the entire market, don’t buy funds that seek to own the entire market. Funds like ESGV which exclude companies with poor governance have existed for a very long time - I can’t find a clear answer as to whether or not it will buy SpaceX, but I’m sure you can find funds that cater to your desires.

Fewer people go to concerts

Scalpers don't buy tickets and not sell them. The most scalped concerts are obviously the most attended

fans can’t afford the tickets

See above. I assume what you are upset about is that rich fans are the ones going.

less connection with the artists, less interest in music overall

I think you need to explain your logic here.

Waymo in Portland 3 months ago

This is an implementation problem, not a problem with the underlying concept.

I agree. The question remains - why do U.S. municipalities universally and repeatedly fail to successfully implement rapid transit at an efficient price point? Buses, trains, and subways in America have ever-growing budgets (both in absolute and per customer mile terms) with ever-declining quality of service. Just asking for more tax revenue again and again is not the solution.

Unfortunately it is their employees that are paying the price of leadership making it rain [...]

Epic's employees reaped the gains while it rained in the form of paychecks. While it sucks that people are losing their jobs, those individuals received (much of) the upside of this investment and their jobs never would have existed in the first place had the investment not been made. Their paychecks are not being clawed back. Shareholders (including executives who are largely paid via out-of-the money options) are bearing the costs. Consumers also benefit from increased competitive pressure on Valve and subsidized game prices.

Would it be "better" if Epic had not invested in the Epic Game Store and paid a dividend or conducted a share buyback?

This is all good advice but it's not what I would traditionally think of as "logging" - it's something more like what the industry calls APM or tracing.

For a web service, that usually means one log event at the end of every request.

The point of a log, as I have seen it used, is to understand what's going on during a request. Yes, some of that is timing / success / failure information, but you also need:

- Logical tracing - at a high level, what decisions did we make (authz, business logic) when serving this request

- Partial failures or warnings - the request may have succeeded, but we may have failed or timed out a call to a dependent service and delivered a partially degraded response as a result

- Tracepoints to support active development - how often do we hit a certain codepath (to help developers roll out or deprecate features)

It's useful to distinguish between "context" (things we know about a request), timing, success, and plain old logging (using human language to describe to an operator what the system is doing). Context should be included with every line - I strongly agree with OP's proposal of wide events, don't make operators ever JOIN if you can avoid it - but it won't always be the same because we learn things about the request as we process it. Yes, if you wait until the end of a request, you will have maximal context, but at the loss of fine-grained detail during processing.

Last I checked, in the US there has not been a single instance of the TSA detecting and preventing a terror attack in its 25 year history.

And presumably they wouldn’t be shy about telling us if they had.

Backing up Spotify 7 months ago

“I only pirate because evil corporations make it too hard to pay for my favorite content” is a multi-decade ever-shifting goalpost. Some people just like to steal shit and will justify it to themselves on the thinnest of pretenses.

In fairness, no company’s mission statement says “maximize shareholder value” because it doesn’t need to be said - it’s implicit. But I agree that AGI is at the forefront of OpenAI’s mission in a way it isn’t for Google - the nonprofit roots are not gone.

I think the "lethal trifecta" framing is useful and glad that attempts are being made at this! But there are two big, hard-to-solve problems here:

1. The "lethal trifecta" is also the "productive trifecta" - people want to be able to use LLMs to operate in this space since that's where much of the value is; using private / proprietary data to interact with (do I/O with) the real world.

2. I worry that there will soon be (if not already) a fourth leg to the stool - latent malicious training within the LLMs themselves. I know the AI labs are working on this, but trying to ferret out Manchurian Candidates embedded within LLMs may very well be the greatest security challenge of the next few decades.