Lover. Cyber Security and Cloud Computing.
Atlanta, Georgia
Joined March 2017
- Tweets50K
- Following6.5K
- Followers6.9K
- Likes359K
Edward Fox retweeted
“Behold, how good and how pleasant it is for brethren to dwell together in unity!”
— Psalms 133:1
Edward Fox retweeted
My next career focus is transitioning into AI Governance, building on my ServiceNow experience. I’ve been slowly learning the NIST AI Risk Management Framework, ServiceNow AI Control Tower, and Integrated Risk Management to expand my skill set in this space.
Edward Fox retweeted
Someone on Reddit built his wife a job search app.
She is a junior software engineer, and her job search had dragged on for almost 10 months. Tailoring a resume for every posting took ages.
So he built Dossier. It finds postings, then writes a tailored resume, cover letter and email for each job, using only facts from her profile.
It tracks every application from draft to offer on a board, and it runs on your own server, with a local AI model option, so your data stays with you.
She landed a job with it, so he open-sourced it for anyone in the same spot.
It is free at github.com/AienTech/dossier.
Edward Fox retweeted
The MOST obvious (but REALLY good) STARTUP ideas right now:
1. Zestimate for company data (what your data is worth to an AI lab)
2. Google Analytics for agents (see which agents visit your site and what they want)
3. Y Combinator for 1 person companies (back solo founders running a team of agents)
4. Okta for agents (who each agent is and what it's allowed to touch)
5. Marie Kondo for your company's data (clean it up so agents can use it)
6. FICO for agents (a trust score before an agent can spend money)
7. Geico for agents (insurance for when an agent makes an expensive mistake)
8. Datadog for agents (see every step your agents took)
9. Twilio for agents (phone numbers and texting for agents)
10. Upwork for agents (hire an agent for a job instead of a freelancer)
11. ESPN for AI (every model launch covered like a big game).
12. Shutterstock for robot training videos (get paid to film yourself doing chores)
13. Credit Karma for what AI knows about you (see it, fix it, delete it)
14. Norton for AI scams (protect your parents from fake voices and emails)
15. PayPal Buyer Protection for agent purchases (fixes it when your agent buys the wrong thing)
16. Geek Squad for AI (set up personal agents for families and small businesses)
17. Dell for private AI (AI in a box for firms that won't use the cloud)
18. Carfax for used GPUs (a health report before you buy secondhand)
19. Airbnb for idle GPUs (rent out computing power you're not using)
20. Rotten Tomatoes for AI models (real reviews instead of benchmarks)
21. G2 for skills (find the best skills for your agent)
22. Dropbox for your AI memory (take what your agent knows about you to any agent)
23. Canva for physical products (design it with AI and get it made)
24. ADT for your personal agent (alerts when your agent does something it shouldn't)
25. Hertz for robots (rent one for a move, a deep clean or an event)
26. Harvard Business School for internet businesses (a real education in building online)
27. Workday for agents (onboard, manage and offboard your digital workers)
28. Getty Images for your face and voice (license your likeness to AI safely)
29. Meta Muse for older adults (and other high LTV niche)
30. Google Ads for agents (pay to be what the agent recommends)
31. Loom for agents (a walkthrough of everything your agent did)
32. Plaid for agents (approved access to banks, airlines and stores)
33. Jiffy Lube for vibe coded apps (quick fixes when your AI built app breaks)
34. Ancestry for datasets (where your training data came from)
35. The organic label for human-made content (proof a person made it)
36. Strava for builders (track what you ship every week)
37. Honey that haggles for you (your agent negotiates the price)
38. SEM Rush for personal agent platforms (like Muse etc)
39. Frequent flyer miles for agents (loyalty programs built for agents)
Edward Fox retweeted
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Edward Fox retweeted
JUST IN: Scientists have used prime editing directly inside the human body for the first time.
Prime editing (unlike traditional CRISPR which cuts DNA) allows scientists to precisely re-write individual letters of our genetic code.
This could allow us to fix genetic mutations that are causing disease at their source.
It's still early, but if successful, this could open the door to treating thousands of genetic disease that we thought were incurable.
Edward Fox retweeted
"A fool finds pleasure in evil conduct, but a man of understanding delights in wisdom."
Proverbs 10:23
Edward Fox retweeted
You absolutely can combine the two.
Political science & AI engineering could open doors in AI policy, AI governance, public sector AI, and technology regulation etc.. Especially with governments trying to figure out how to regulate AI while adopting it themselves. Having the technical knowledge to understand how these systems work AND the policy background to assess their impact could be a strong combination. I`d definitely explore AI Policy Analyst and AI Governance Specialist roles: aigovcoded.com/roles
Edward Fox retweeted
This is the message we heard from Jesus and now declare to you: God is light and there is no darkness in Him at all. 1 John 1:5
Edward Fox retweeted
Yes, largely true. Cortical Labs' CL1 systems use stem-cell-derived human neurons on electrode arrays, kept alive in sealed life-support units with nutrient media (sugar/salts) refreshed every few days. Biological data centers in Melbourne and Singapore now run racks of them. They've controlled Doom via electrical signals. No evidence of consciousness—just adaptive neural activity.
Humans will be killed.
Hey @grok, is this true??
Some data centers now run on lab-grown human brain neurons derived from stem cells, wired directly to silicon chips via electrode arrays, and kept alive on life support. Fed sugar every few days. They play Doom. We don’t know if they’re conscious.
Edward Fox retweeted
What I love most is seeing people from database admin, ops, project management, cybersecurity, and policy realizing how much of their experience already translates into AI governance.
You don`t necessarily need to start your career over. You need to understand where your existing skills fit, what gaps to close, and how to show employers what you`re capable of.
Edward Fox retweeted
At the start of the year, I started my journey to becoming a cybersecurity professional with a focus on AI governance, Risk and Compliance.
Take the risk! Time will pass either way.
Edward Fox retweeted
50+ startups hiring in this thread:
1) @CruxClimate - remote US
2) @Chariot_IN - NYC
3) @clay - NYC / SF / London
4) @posthog - remote
5) @concurrencehq - SF / NYC
6) @ConductAI - London / NYC
7) @usecardboard - Bengaluru / SF
8) @crosbylegal - NYC / remote US
9) @dcnydotco - remote
10) @ElvoroAI - London / remote
11) @EveryBanking - remote
12) @ai_evos - US remote
13) @ExtendHQ - NYC
14) @fal - SF / remote
15) @falconer_ai - SF
16) @itsfindhelp - Austin / Madison / LA
17) @firecrawl - SF / Toronto / Americas
18) @genspark_ai - NYC / Palo Alto / Tokyo / US
19) @greptile - SF / NYC
20) @tryhighlight - SF
21) @hospitable - remote
22) @HumaansHQ - London / SF
23) @tweetsbyport - Palo Alto / Austin / TLV
24) @kepler_ai_hq - NYC
25) @manifest_os - NYC / US
26) @MeckaAI - NYC / SF / Toronto
27) @mintlify - SF / NYC
28) @ModelML_ - London / NYC
29) @ModernTreasury - SF / NYC / remote
30) @netbird - Berlin / remote
31) @getoro_xyz - Shanghai / remote
32) @codespeedai - NYC
33) @primitivelabsai - SF
34) @manufact - SF
35) @raindrop_ai - SF
36) @runwayml - NYC / SF / remote
37) @slashapp - NYC / SF / remote
38) @VeryAI - SF / NYC / Miami / remote US
39) @autter_patch - remote PT
40) @naturalpay - SF
41) @QontextAI - Berlin
42) @rox_ai - SF / NYC / Bengaluru / Austin
43) @siriusai - SF
44) @tellicom - Berlin
45) @thenarrativecom - NYC
46) @TownAI - SF / NYC
47) @valkai - SF / NYC
48) Monarch Agents - Australia
49) StrikeArc - remote US
50) Initio - SF
51) Nerd Apply - NYC
52) Hotplate - SF
53) Quido - Milan / remote EU
Edward Fox retweeted
Litigation is going to EXPLODE.
Customer service teams are already seeing it.
We’re entering what I’m calling “The Age of AI Review”
Absolutely no one is safe from scrutiny.
Everyone says AI will kill litigation.
They have it backwards.
AI is about to make litigation explode.
For 100 years, American litigation has been limited by one thing. The hourly rate.
A breach of contract worth $40,000? The lawyer wants $25,000 to fight it. You settle for $12,000 and call it a win.
A customer stiffs you for $8,000? Not worth the demand letter. You eat it.
A former employee walks off with your client list? Your lawyer says "we can send something, but the motion practice alone will run you $30,000." You let it go.
That is how most American disputes end. Not in court. In a spreadsheet, where someone decides the fight costs more than the loss.
Now change one number.
A demand letter that billed 4 hours now takes 4 minutes.
A motion to dismiss that cost $15,000 in associate time now costs $15 in compute.
A 60 page discovery response that took a paralegal two weeks lands in your inbox by 7 a.m.
What happens to the spreadsheet?
Every "not worth it" flips to "why not."
Economists have a name for this. Jevons paradox.
In the 1860s, steam engines got more efficient. Everyone expected Britain to burn less coal. Britain burned more.
Cheaper power meant more factories, more railways, more uses nobody had planned for.
Bandwidth got cheap. We didn't send fewer emails. We built Netflix.
Legal drafting gets cheap. People will not fight less. They will fight more.
And here's the twist nobody is talking about.
Not all legal work moves the same way.
Cooperative work shrinks. Both sides want the same standard NDA, AI hands it over in 60 seconds, the deal closes. That market dies.
Adversarial work grows. The moment your opponent has AI, every filing they send forces a bigger reply from you. Every motion breeds a cross motion. There is no ceiling on an arms race.
Then it all hits a wall.
AI can 10x the filings. It cannot 10x the judges. Federal courts already have cases waiting years for trial. State courts are worse.
So picture it. Ten times the motions. The same number of judges. Clerks drowning. Dockets that stretch into the next decade.
Something breaks. I don't know what. But it won't be boring.
If you're a young litigator, here's what that means for you.
The paperwork was never going to be your career. The machine has that now.
The growth is in the fight.
Learn to take a deposition. Learn to find the hole in a 60 page brief that a machine wrote in 10 minutes. Learn to stand in front of a judge with 300 cases on her docket and make yours the one she remembers.
The machine drafts.
Someone still has to win.
Make sure it's you.