Ved

chelsea

[Ved @scarnface2k]

😂😂😂😂😂😂

[Telegraph Football @TeleFootball]

🇦🇷 All 31 dirty tricks Argentina unleashed on England:

1' Mac Allister leaves one on Anderson
2' Paredes pushes Bellingham, leading to a confrontation
3' Enzo comes in late on Anderson

[Ashwin Gopinath @ashwingop]

Claude Tag is a Trojan horse.  Not because Anthropic is doing anything evil. Because the incentives are obvious.

Day one, this looks like a great feature: tag Claude in Slack, let it follow the thread, remember context, connect to tools, break down tasks, chase work, and act like a teammate.

But that is exactly the problem. The moment your AI vendor becomes a shared coworker, it stops being just a model provider. It starts becoming the place where work is interpreted, remembered, routed, and eventually executed.

That is not model lock-in. That is context lock-in. You are now renting your company back from them.

Models can be swapped. Agents can be copied. But the memory of how your company actually works is much harder, maybe impossible, to move: the Slack scar tissue, the exception paths, the customer promises, the unfinished threads, the weird workflows, the implicit owners, the “we tried that in Q2 and it failed” knowledge.

Once that lives inside one vendor’s agent layer, you are not renting intelligence anymore. You are renting your company’s operating memory.

And the pricing model makes it even more dangerous. A human coworker has a salary. Claude has unbounded tokenized activity. The more work moves through it, the more the vendor captures not just IT spend, but labor spend.

This is the enterprise bargain people will regret: Convenience now, and rapid decent into dependency.

The right architecture is simple: rent the best intelligence from whoever is best this month. OpenAI, Anthropic, Gemini, open source, whatever. But own the context layer.

Your company memory should be inspectable, permissioned, portable, and model-neutral. It should not be buried inside the same vendor that sells you the intelligence and the workflow surface.

Claude Tag is useful. That is why it is dangerous. Rent the intelligence, but own the context. Or, regret later.

[Abhishek @abhishekcode42]

Only thing I have seen more than this video is Sooryavansham on setmax.

[ak0 @annanay]

UPDATE turns out that yes, nobody has heard of tmux.

[𝚃𝙷 @Flowerlikinga]

Bridge mela poganuma, bridge keela poganuma nu kaatuma

[Pratyush Kumar @pratykumar]

📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages.

Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - https://t.co/DcCG3zlN8p

[Adam @adamdotdev]

Programming was deeply satisfying work to me. Work for hours/days before getting the payoff of the code working well on your machine. I’m feeling so much friction now to open the editor and do this kind of task by hand, but also increasingly depressed with the nature of work in an AI assisted dev workflow. Back and forth prompting seems to eat at my soul. Need to find a balance that brings back some of the toil.

[Ved @scarnface2k]

@clintoptions $SPY

[Ved @scarnface2k]

@Motion_Viz 2026

[Ved @scarnface2k]

@businessbarista Claude

[~ @CFCdruw]

There’s a reason why every single Chelsea Supporter on the planet agreed with her.

[Mr Melancholy @chakravartiiin]

How it feels to be Indian rn

[Tejas @suptejas]

AI interfaces haven't evolved since GPT-3. You ask a question, get an answer, then copy-paste it into Slack, Gmail, or your docs.

There's a fundamental gap between intelligence and action.

Introducing Dimension. Your proactive AI co-worker that actually gets work done for you.

[~ @CFCdruw]

He does everything for Chelsea. Box to box, creates chances, in the pivot... Enzo can perform EVERY single role for Chelsea.

Underrated and under appreciated.

[Ved @scarnface2k]

ChatGPT dhan Heisenberg

[Anirudh Ravichander @anirudhofficial]

Happy birthday my #King @iamsrk 👑👑👑
They call him King with a capital K .. we say #SRK 💥💥💥

@justSidAnand 🔥🔥🔥

[Boring_Business @BoringBiz_]

So if we layoff everyone to increase margins this year, who will have money left to buy your products next year?

[Ved @scarnface2k]

@AravSrinivas @AnadhaiArmas

[GDP @bookwormengr]

Who would have though?

Due to AI fatigue, social activities, bars, live musical, dance classes are going to find lot more patrons.

Social media profiles are going to lose their currency.

Your instagram profile is not going to be your currency, as it is going to cost nothing to have great social media content. Same for facebook and other media.

Even if videos are real, others are going to suspect they are fake.

Contrary to expectation that people will submerge themselves in AI videos, AI videos are making meeting in real life more important - not just for interviews, but for dating & mating, networking, influencing and so on.

You may say - fake videos are getting lot of views on FB etc. However, remember people who comment on them etc. many a times don't know they are fake.

So, the way we have lost our appreciation for creative images - because Mid-journey, Flux etc. can make so many of them so easily, we are going to lose our appreciation for these video & images.

Some of the key reasons people use social media is
- to look at others who are higher status, and learn how to get their level
- to find a mate
- to find collaborators, comrades fro movements etc.

This quality of AI content makes it impossible to trust social media.

So to judge others (which is what social media is for), people will prefer to meet in real life.

Bars, clubs, public park, all sorts of activities have great days ahead...