Divyansh Sharma

Code | Debug | Repeat

[Divyansh Sharma @DavyJones314]

@JsnVem Lessgo always love to be in a room with people crazy n curious enough to tackle n build shit like locos

[Divyansh Sharma @DavyJones314]

@dillon_mulroy Honestly current AI models are as good as their user's ability to direct them, cause they still work on predictive basis. Garbage in willl always result in garbage out

[Divyansh Sharma @DavyJones314]

@mreiffy Ngl I agree, atp it feels nerfed beyond measure, they promised raichu n gave us pichu

[Divyansh Sharma @DavyJones314]

@0interestrates Guys being able to sell, sellll, start somewhere don't wait for perfection

[Divyansh Sharma @DavyJones314]

@alexalbert__ @AnthropicAI @ClaudeDevs
Max Plan drained 57% to 100% while my laptop was off for 8hrs—which shouldn't even be possible given the 5-hour limit cap. Zero API calls. Fin bot stonewalled me and told me to "buy credits" to fix your bug. Need a human! Help?

[Divyansh Sharma @DavyJones314]

@ClaudeDevs Hey @alexalbert__ ,@AnthropicAI @ClaudeDevs hitting a severe bug on the Claude Desktop $100 Max Plan. My weekly usage jumped from 57% to 100% during an 8-hour window while my laptop was powered off. Zero local API calls. Support bot is a dead end. Need a human to reset my quota.

[Divyansh Sharma @DavyJones314]

@mreiffy @PeterDiamandis People inside the bubble know they are in the bubble, people outside are oblivious that the bubble even exists.

[Divyansh Sharma @DavyJones314]

@t_blom Honestly if the remaining 10% know how to guide and lead the team of geniuses, you can still manage and achieve most of the work done by the 90%. You just need to have a clear vision in your mind, and a domain specific context, decision traces so model has visiblity.

[Divyansh Sharma @DavyJones314]

@JorgeMvrfil Can't it be both? If you are more productive, you have more time to explore and experiment, and the best way to do that is to build random shit and find out what works.
Sometimes those random shit you are working on turns out the be the real deal instead.

[Divyansh Sharma @DavyJones314]

@PrajwalTomar_ By the time you wake up, all your usage is gone, and you have no way to actually begin.
It is rather important to create proper stop gates and other quality checks in such skills.

[Divyansh Sharma @DavyJones314]

@harshilmathur That is true but there are gaps in this too, cause Claude will never say that the project is safe, it will always go ahead and find flags and gaps, which may be actually valid or really dumb, and then the task of verifying everything falls back on the users or blind trust.

[Shanaka Anslem Perera ⚡ @shanaka86]

The most honest sentence in the entire AI industry right now is one nobody wants to say out loud.

Every major foundation model was trained on data its creators did not have explicit permission to use. Every single one.

Anthropic settled for $1.5 billion over 7 million pirated books used to train Claude.

OpenAI faces ongoing lawsuits from authors, newspapers, and code repositories.

Google trained on the entire indexed internet. Meta used Libraries Genesis datasets. And xAI’s Grok was trained on the full corpus of X posts, a decision Musk made unilaterally as the platform’s owner without individual user consent.

So when Elon Musk tweets that “Anthropic is guilty of stealing training data at massive scale and has had to pay multi-billion dollar settlements for their theft.

This is just a fact,” he is telling a true but deeply selective version of the story. The settlement is real. The $1.5 billion is documented. The pirated books are documented. But framing this as an Anthropic problem rather than an industry-wide structural reality is competitive positioning disguised as moral outrage.

Here is the actual mechanism nobody is mapping.

Anthropic accused Chinese labs of distilling Claude through its public API. Musk responded by pointing out Anthropic trained on stolen data.

Gergely Orosz, a respected engineer, wrote “Anthropic can’t have it both ways.” All three are correct simultaneously and all three are being selectively honest.

The structural reality is that the entire foundation model industry sits on an unresolved intellectual property question worth hundreds of billions of dollars. Every lab trained on data it did not license. Every lab knows this.

Every lab’s legal strategy is to get big enough that the settlement becomes a cost of doing business rather than an existential threat. Anthropic already paid $1.5 billion. That is not a punishment. That is a licensing fee paid retroactively under legal pressure.

The reason Musk is raising this now has nothing to do with ethics. Anthropic is in conversations with the Pentagon. xAI is competing for the same contracts. Framing your competitor as a data thief three days before a defense meeting is not moral clarity. It is positioning.

And the deepest irony is the China angle. The United States wants to restrict Chinese access to American AI models on intellectual property grounds. But every American AI model was built on intellectual property its creators took without permission from millions of authors, coders, artists, and publishers.

The entire moral framework for the technology export control regime rests on an intellectual property argument that the American labs themselves have not resolved domestically.

That is not hypocrisy anyone in the industry wants to discuss because the moment you acknowledge it, the legal and regulatory exposure scales to every company simultaneously.

Musk is weaponizing it selectively. Anthropic is deflecting it selectively the way I see this.

And the actual creators whose work built every one of these models are watching billionaires argue about who stole from them more ethically.

[Divyansh Sharma @DavyJones314]

@aptos_ind 😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂😂

[✨ Rise In - Biggest web3 dev community @riseinweb3]

Neo X Grind Hackathon results are in! 🥁

With over 140 ambitious participants and 45 impressive submissions, the @Neo_Blockchain X Grind Hackathon was a huge success!

Congratulations to all the winners and every participant who made this event incredible. 🎉

A big shoutout to our amazing partners for their support: @Bhopal_DAO, @thecyborgs_, @Web3Panjab, @reactdelhi, @TechSoc_, @AM_igdtuw, @CapxCollective, @theDevArmy, and @CatoffGaming!

[Divyansh Sharma @DavyJones314]

@riseinweb3 @AbhiG2912 @AtreyRachit @RamzanKhan22113 @Atharvvarshney7 @corruptedheap @Tanishqistaken LFG!!!!!!

[✨ Rise In - Biggest web3 dev community @riseinweb3]

A huge congratulations @AbhiG2912, @AtreyRachit, @DavyJones314, @RamzanKhan22113, @atharvvarshney7, @corruptedheap, @Tanishqistaken! 💜