Saurabh

new house, same colour🔴

If you put Suggs brain in a dog it would start mooing

“Mountain Dew” is such a beautiful name for something that’s two steps away from being classified as battery acid

@tiangolo @gvanrossum @elonmusk @FastAPI I have switched to @FastAPI recently for all my projects. Great tool!

@gvanrossum @elonmusk I think I remember seeing @FastAPI in their job posts on LinkedIn a long while ago, don't know, maybe? 🤷‍♂️

Hey @elonmusk, does SpaceX use Python, and for what? How extensively?

@steipete @openclaw @steipete The Docker setup requires a fix. There are two errors: “token mismatch” and “pairing required,” both of which need manual input.

New @openclaw beta is up! This release is full of security hardening stuff so you really wanna get it. Ask your clanker to update to beta. github.com/openclaw/openc…

@capi_abril @FBIDirectorKash The recordings are extracted from backend servers using residual data buffers for motion detection - a forensic technique enabled by legal subpoenas even without user subscriptions.

@FBIDirectorKash Why are these recordings available if she's not subscribed to the recording service?

New images in the search for Nancy Guthrie:   Over the last eight days, the FBI and Pima County Sheriff’s Department have been working closely with our private sector partners to continue to recover any images or video footage from Nancy Guthrie’s home that may have been lost, corrupted, or inaccessible due to a variety of factors - including the removal of recording devices. The video was recovered from residual data located in backend systems.   Working with our partners - as of this morning, law enforcement has uncovered these previously inaccessible new images showing an armed individual appearing to have tampered with the camera at Nancy Guthrie's front door the morning of her disappearance.   Anyone with information, please contact 1-800-CALL-FBI or visit tips.fbi.gov

A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent. IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits. Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased. Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion. Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage. Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building. Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it. Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements. Questions. A few of the questions on my mind: - What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*. - Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro). - What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music? - How much of society is bottlenecked by digital knowledge work? TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

@oopsallbased @honour_can_code @gtx360ti What if we switch the user agent?

@honour_can_code @gtx360ti you would most likely get a “your browser isn’t supported, please try to watch from one of these browsers or download our app” message if you tried to watch from a browser that didn’t support their drm

Call me a junior dev idc. but how does netflix handle the screenshot blocking on websites????!!

I am getting so many spanish-language, auto-translated bangers on my feed rn

@dantheprez @declanganley @united This is amazing!

It’s the result of United’s ConnectionSaver program that has gotten very good over the years. A best case use of how AI can change industry and improve the experience for passengers. They automatically analyze passenger lists, tight connection windows, and outbound flight plans to see if extra time waiting at the gate can be made up “in the air”. Also to make sure there’s no downstream domino effect that causes other passengers to later miss their connections at the arrival airport. And not only is it for the convenience of the passengers, but it’s great financially too. Rebookings are extremely disruptive, potential hotel and food vouchers, the strain on the Customer Service staff. It’s a win all around and one of the great @united initiatives.

Shout out to @united Airlines at Chicago O’Hare, who very kindly held the Dublin flight at the gate this evening so my youngest daughter could make the connection from her delayed connecting flight. Means a lot at Christmas and to make it home in time. Thank you for such a thoughtful act and a very happy forthcoming Christmas to all at @United ☘️🇺🇸🇮🇪

Meta, Google, and Microsoft all use encryption built by the same 50-person nonprofit. Zero revenue from 2 billion users. The founder uses a fake name. And when the FBI subpoenaed them, they only provided 2 pieces of data. Here's how a non-profit secures the internet🧵

@theo @N3Dawid Quality ain’t cheap

@N3Dawid grok 4 fires tokens like a thousand very expensive machine guns 🙃

Made a new bench. Claude 4 Sonnet scores an 11%. Grok 4 scores a 71%. Grok 4 also cost 75x more 🙃

🚨🚨 BREAKING: Lionel Messi to Inter Miami, here we go! The decision has been made and it will be announced by Leo in the next hours #InterMiami 🇺🇸 Messi will play in MLS. No more chances for Barcelona/Al Hilal despite trying to make it happen. 𝐇𝐄𝐑𝐄 𝐖𝐄 𝐆𝐎 #Messi #MLS

Hard pass on the Jeffrey Dahmer documentary, if I wanted see a white man killing niggas I’ll watch the Dallas Mavericks

@LukaMuse77 42/12/10

I’ll Venmo anyone who predicts Lukas exact statline today. Only one condition, the Mavs have to win.

Jurgen Klopp made Man United fans celebrate Man City winning the titles.

Messi listening to wijnaldum's playlist, 1st day in the psg dressing room

Thank you, Leo.