EFF Is Hiring a Policy and Research Staff Technologist

Policy and Research Staff Technologist

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EFF, the OG online rights people, are hiring a staff technologist to help with policy and research. If you've got the chops to do tech work that informs and amplifies their policy work, this is a dream job. It's a decent place to work -- morale is pretty good there and the atmosphere is positive. The people are focused on the civil libertarian mission. Pay is on the upper end of the scale for this kind of non-profit work. This job is fully remote. You'll need to work Pacific hours and be in CA, DC, GA, MA, MD, NV, NJ, NY, OR, WA.

Stacker News

EFF Is Hiring a Policy and Research Staff Technologist \ stacker news ~tech

EFF, the OG online rights people, are hiring a staff technologist to help with policy and research. If you've got the chops to do tech work that in...

Given access to all its databases, I wonder how many Nostr posts it would take for Palantir's AI to dox you. You're leaking all kinds of little drips. Time of posting, public web trail, details about your life/location that are innocuous on their own, etc. At some point, that Jackson Pollock of drips is uniquely yours. It's a fingerprint, right? #asknostr

Suddenly everybody wants to know how to fend off a drone attack. Lol. These guys have answers, and my favorite its VAMPIRES:

RoboticsBiz

Top 15 most effective anti-drone technologies (C-UAS) - RoboticsBiz

Drones have revolutionized various sectors, from aerial photography and inspections to deliveries and emergency response. However, their misuse pos...

LLMs are good at making predictions from deep datasets. But there are a lot of problems that LLMs are pretty bad at --- problems that involve wide, shallow datasets. A company I am working with has built a machine to look in the LLM's blind spots. They can take the wide, shallow datasets and generate insights (not predictions) that drive decisions. They can, e.g., identify genes of probable significance to a disease from existing medical literature, patient data, and research. It's all very cool, and they're fending off suitors at big valuations. Here's my question, the one I ask myself every day since I linked up with them: what are the problems that LLMs are failing at because the data is wide instead of deep, diverse instead of homogeneous, constantly changing (and thus resists training)? They've agreed to let me test drive their machine and scope a problem to solve. I get to play with the coolest toys! #asknostr

My #homelab is just a server in my home connected via ethernet to my modem/router. I rent an entry-level VPS from Digital Ocean that just runs Caddy (https://caddyserver.org) for when I want to give my homelab services a public internet presence. I use tinc vpn (https://tinc-vpn.org) to connect the public Caddy server to my homelab server, but you might prefer Wireguard (https://wireguard.com). This is all incredibly simple and it allows me to self-host just about anything as a docker, a VM, or a native service. Caddy is hands-down the easiest web server to run. Wireguard is similarly easy as a VPN. If you're just starting a homelab, start with those pieces.

I once asked a ham radio buddy of mine what he chatted about on his radio. He said they mostly talk about ham radios. That's what Nostr is like. It is the premier technology for talking about Nostr. Seriously, if you are passionate about chatting about Nostr, there is no better medium. Any ham radio people out there?