@theo@dexhorthy Seems like something that would fit neatly into your Dropbox for devs idea. BTW, Dropbox for devs and improved git seem like they could have a fair amount of overlap. Or at least the shared drive could take advantage of the git replacement.
@dexhorthy My team is struggling with this too. We have some in Confluence and some in a docs dir in the project. It’s a mess. At first I thought keeping them with the code would be fine but it quickly became noisy. Probably gonna lean into Confluence or Google Drive more.
A YouTuber with 110 million subscribers released a free version of ChatGPT.
His name is Felix Kjellberg. You know him as PewDiePie.
He spent his own money on a 10-GPU computer at home. He used it to run the same kind of AI models that power ChatGPT, but on his own hardware. Then he wrote his own app to chat with them, because the apps that already exist were not good enough.
Then he gave it away for free. Anyone can download it. Anyone can change it. Anyone can run it.
It's called Odysseus.
It runs on your computer. Your data stays on your disk. No account. No tracking. No monthly fee.
What you get:
- A chat window like ChatGPT
- An AI assistant that can browse the web, read your files, and do tasks for you
- A tool that scans your computer and tells you which AI models will work on it
- A research mode that reads many websites and writes you a report
- A side-by-side mode to test two AI models on the same question
- A writing editor where AI helps you, instead of writing for you
- Memory, so the AI remembers your past chats
- Email with AI that sorts your inbox and writes replies for you
- Notes, a to-do list, and a calendar
- Works on your phone too
23,612 stars on GitHub in 2 days. Top of trending all weekend.
ChatGPT Plus costs $20 a month. Claude Pro costs $20 a month. PewDiePie's version costs nothing, runs on your own computer, and the code is open for anyone to read.
This is what AI looked like before the subscription model.
(Link in the comments)
I tipped a delivery guy $2 once because I was broke.
Felt awful about it. Apologized like 5 times.
2 years later I’m standing in line at an airport, phone at 1%, and my flight’s boarding.
Guy behind me taps my shoulder.
Here's my update to the broader community about the ongoing incident investigation. I want to give you the rundown of the situation directly.
A Vercel employee got compromised via the breach of an AI platform customer called https://t.co/7PY6gGtzgI that he was using. The details are being fully investigated.
Through a series of maneuvers that escalated from our colleague’s compromised Vercel Google Workspace account, the attacker got further access to Vercel environments.
Vercel stores all customer environment variables fully encrypted at rest. We have numerous defense-in-depth mechanisms to protect core systems and customer data. We do have a capability however to designate environment variables as “non-sensitive”. Unfortunately, the attacker got further access through their enumeration.
We believe the attacking group to be highly sophisticated and, I strongly suspect, significantly accelerated by AI. They moved with surprising velocity and in-depth understanding of Vercel.
At the moment, we believe the number of customers with security impact to be quite limited. We’ve reached out with utmost priority to the ones we have concerns about. All of our focus right now is on investigation, communication to customers, enhancement of security measures, and sanitization of our environments. We’ve deployed extensive protection measures and monitoring. We’ve analyzed our supply chain, ensuring Next.js, Turbopack, and our many open source projects remain safe for our community.
The recommendation for all Vercel customers is to follow the Security Bulletin closely (https://t.co/BLVnic9fJC). My advice to everyone is to follow the best practices of security response: secret rotation, monitoring access to your Vercel environments and linked services, and ensuring the proper use of the sensitive env variables feature.
In response to this, and to aid in the improvement of all of our customers’ security postures, we’ve already rolled out new capabilities in the dashboard, including an overview page of environment variables, and a better user interface for sensitive env var creation and management. As always, I’m totally open to your feedback.
We’re working with elite cybersecurity firms, industry peers, and law enforcement. We’ve reached out to Context to assist in understanding the full scale of the incident, in an effort to protect other organizations and the broader internet. I also want to thank the Google Mandiant team for their active engagement and assistance.
It’s my mission to turn this attack into the most formidable security response imaginable. It’s always been a top priority for me. Vercel employs some of the most dedicated security researchers and security-minded engineers in the world. I commit to keeping you updated and rolling out extensive improvements and defenses so you, our customers and community, can have the peace of mind that Vercel always has your back.
@thdxr For many issues lint rules are your friend. Our team tries to implement lint rules for every preference we have if possible. This may not catch architecture issues, so we have coding standards as part of our agent files. Not perfect but helps a lot
Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise.
Some quick takeaways:
* Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow.
* Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated.
* Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs).
* Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these.
* Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs.
* Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy.
* Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems.
* Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been.
One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise.
This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.
If you overlay Christian beliefs on the end times with Islamic beliefs on the end times, what you discover will send a chill down your spine.
Buckle up for this one 👇
Now that Artemis II has launched we have 10 days to get everyone on Earth a Planet of the Apes costume so we can do something hilarious when the astronauts return 😁
🚨 JUST IN: Stephen Miller lays it out PERFECTLY
Imagine a "native Minnesotan who works as a lineman...worried about his ability to support for and provide his family."
"And then imagine that he has a neighbor who's a SOMALI REFUGEE who arrived two years ago and has a Mercedes and NO financial stress and no worries at all in the entire world and never seems to ever go to work at all because he just went to an office in the state, lied on a piece of paper, and got unlimited free money forever for life!"
"THAT is the system that is being run and that is the corruption that this task force under the leadership of the Vice President is going to demolish." @StephenM
this guy let an AI agent handle his scam texts for a week
a scammer asked him to buy a $500 gift card
the agent spent 4 hours "driving" to target.
sent status updates like "i'm at the red light now, there's a very handsome squirrel on the sidewalk. do you think he's married?"
then it said "i forgot my purse, going back home. wait, this isn't my house"
it sent a screenshot of a captcha to the scammer claiming its "eyes were blurry" and it couldn't see the buttons to wire money
the scammer actually solved the captcha for the AI
the scammer eventually typed: "please just stop talking. i don't want the money anymore. god bless you but leave me alone"
total time wasted for the guy was 14 hours
the script should be open source lol
this is actually insane
> be tech guy in australia
> adopt cancer riddled rescue dog, months to live
> not_going_to_give_you_up.mp4
> pay $3,000 to sequence her tumor DNA
> feed it to ChatGPT and AlphaFold
> zero background in biology
> identify mutated proteins, match them to drug targets
> design a custom mRNA cancer vaccine from scratch
> genomics professor is “gobsmacked” that some puppy lover did this on his own
> need ethics approval to administer it
> red tape takes longer than designing the vaccine
> 3 months, finally approved
> drive 10 hours to get rosie her first injection
> tumor halves
> coat gets glossy again
> dog is alive and happy
> professor: “if we can do this for a dog, why aren’t we rolling this out to humans?”
one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline.
we are going to cure so many diseases.
I dont think people realize how good things are going to get
@rubenhassid@grok do these “new” rules apply to other AIs such as Gemini, ChatGPT, or yourself? Or, is Claude Opus 4.6 really that far ahead of the others?