I think the purest form of love is just wanting someone to experience life with you. "Taste this. Look at that. Hear this song." Over and over. Until you can't imagine experiencing life without them.
@SahilBloom It's amazing what people do. I like your enthusiasm so much. You just seem to be a genuinely nice person. I wish you were incharge of more important things in this world along with your health. Everyone has different cards so i don't want to feel like shit looking at your life.
I’m in love with this sentence:
“The degree to which a person can grow is directly proportional to the amount of truth he can accept about himself without running away.”
It took a little longer than expected, but we have created a website for people to view the footage collected from Gaza in one place. You no longer have to download the entire archives to see them.
It includes:
64,537 videos
17,905 photos
Ability to download individual videos
Searchable index
Exhaustive sources list (300+ journalists)
Geolocation data
Livemap with minute to minute updates
Victim list
It can be accessed here: https://t.co/s0Se94PXWF
Please share & quote tweet to help this post break out of the twitter algorithm prison.
We will keep adding the rest of the archives to the site, be patient- it is difficult work. Continue to seed the torrents provided, as that is the best way to ensure the footage remains stored in decentalized way.
God bless all those who sacrificed their lives to get this footage out, and everyone invovled in collecting/archiving it.
Join our telegram:
https://t.co/bvcis3b9GT
Follow our backup accounts:
@ZionismExposedx & @IsraelExposedAr
just realised i manifested my dream relationship by writing this essay 🥹
i wrote this in july, right after i met my crush and fell in love with the way we spoke. less than a month later, we were together :’)
@9mmsmg So many weird strange replies. Like total borderline personality issue type of replies.
This is normal. You're good mate. Congratulations as well that you have a partner who understands this is normal or rather this is what normal should be.
@scottastevenson Owner of two AirBnb units.
I could write an article on this, but there are complex layers to it.
AirBnb profitability changes from property type to property type. Within it, there are niches. Like everything else, there is extreme competition now. Lot of factors tbh
@MelGibGibs Thanks for this thread. I don't understand the tech behind this at the level fishy type proponents do, but I have been holding it since 2021.
I had posted some layman Qs a while back with similar questions, but no one answered.
We were all convinced GenAl was a magic trick, but I think the honeymoon is finally ending.
I am noticing a change in the air that smells like a massive, unglamorous industrialisation project, where we are now asking the models what they can actually do (vs what they say and how they say it).
As Al gets "smarter", the work of implementing it is getting *significantly* more technical.
You may remember at some stage there was this popular fantasy that, in the enterprise context, we would all just talk to our computers and the work would happen.
Instead, the so called Agentic Age is demanding a return to the fundamentals of systems engineering: we actually don't need fewer engineers, we need an ARMY of them to build the digital plumbing (eg, the CLIs and Model Context Protocols) that allows an agent to talk to a 20-year-old+ legacy database.
You can't automate good, scalable system architecture.
This complexity is forcing a hard pivot in how companies spend money.
Compute is being treated like a raw utility (like oil or electricity), where internal teams are meticulously budgeting for it against a hierarchy of needs, prioritising the high-value back-office rot that was ignored in the past (for decades, in many cases).
Let me add some spice: the "all-in-one" platform appears under threat because agents do not care about a slick Ul, they need to talk to the guts of a system.
Enterprises are starting to treat headless capability as a deal-breaker: a vendor must make it technically and economically easy for a third-party agent to interact with their data.
Perhaps this infamous Agentic Age isn't really about the ease of use we were promised, but more about the hard technical work of finally fixing the fragmented systems that have been holding us back since the 90s?
The demand for exceptional AI-native software engineering is skyrocketing right now.
It's why 50%+ of our business at @tenex_labs is elite engineering-as-a-service for midmarket & enterprise companies.
@levie talks about it a lot, but as the power of AI defuses from engineering to all other areas of knowledge work, the laundry list of needs for builders that have AI chops, strong systems thinking, and deep process knowledge is going parabolic.
Moreover, a list of patterns is emerging for where companies need the most engineering help in a post-AI world. I thought it'd be helpful to share.
Here's the internal list we've been keeping:
- Data engineering & organization: helping companies unify, clean, and get their data to be agent-ready
- Old-fashioned software engineering, supercharged by agentic workflows
- Build "the brain": single source of truth with RBAC upon which information can be queried or transformed with customized agents
- Cyber hardening: reduce AI-era cyber risk by identifying highest-risk exposure and rapidly implementing practical controls, automations, and monitoring
- Token audits: helping AI-native software orgs build & deploy strategies for token efficiency/costs
- Generative UI: building intelligence dashboards engines that enable every role in a company to act fast on data-driven insights
- Edge ML: building and scaling resource-constrained computer vision model for retail applications
- BYOA: build custom agents for any repetitive business process, from deep process mining to build, enablement, and enhancement
- SDLC colonoscopy: studying a company's software lifecycle, identifying bottlenecks, and driving efficiency so code isn't metered by organizational inefficiency
- Stack rebuilds: Rebuilding old systems for 1/10th of the cost at 10x the speed
- Stack speed-ups: Rebuilding systems to be most agentic engineering-friendly
- Autonomous SRE: setting up agents in CI/CD and connected to monitoring tools to automatically raise PRs for bug fixes
What's missing from this list?
P.S. if you need an elite squad of AI-native engineers to supercharge your business, shoot me a DM.
Everyone is going to need help with AI deployment. It won't just be limited to the large consulting firms.
The consultancies that implement AI will have their org charts shift into something like this:
Client Revenue System
├── Outcome Owner / GM
├── Strategic Lead
├── Growth Loop Owners
│ ├── Acquisition Loop
│ ├── Conversion Loop
│ ├── Retention / Expansion Loop
│ └── Authority / Content Loop
├── Agent Fleet Layer
│ ├── Research Agents
│ ├── Content + Creative Agents
│ ├── Paid Media Ops Agents
│ ├── SEO / AEO Agents
│ ├── Analytics + Insight Agents
│ ├── QA / Risk Agents
│ └── Reporting + Narrative Agents
├── Infrastructure / Systems Team
└── Client Executive Sponsor