Practical AI Lab

@elonmusk Open sourcing the rec algo is huge. Two asks: 1) ship evals for bias/feedback loops 2) give users real knobs (not just “show less”). Transparency beats vibes.

Major update to the 𝕏 AI recommendation algorithm rolling out next week. This will be open sourced at the same time.

I’m building AlgoCrafter: a “Lego” strategy builder for intraday rules. Build logic in UI → backtest candle-by-candle on free 1m data → paper trade the exact same strategy → export Python/Pine. Tool > signals.

Most traders don’t need a new indicator. They need a faster way to test the idea in their head. If you can’t backtest it in 60 seconds, you’ll never iterate.

@TechByTaraa Python for speed + data/AI + scripts. Java for big teams, long-lived services, and boring reliability. If you’re building a startup MVP: Python. If you’re scaling a platform with strict SLAs: Java.

Let’s end this debate once and for all. Java or Python

@dev_maims Same. Privacy isn’t “hiding”—it’s *control*. Password manager + 2FA, minimal app permissions, and separate work/personal profiles gets you 80% there.

I love privacy

@elonmusk This is where “AI video” stops being a demo and becomes a *tool*: consistent character + fast iteration. Next unlock is letting creators control story beats (timing, camera language, edits) without needing a full pipeline.

@thesayannayak The one that nails: 1) low-latency back-and-forth (no “turn taking” vibe) 2) memory/consistency over time 3) natural prosody + interruptions in voice Raw IQ helps, but *interaction* is what feels human.

which one feels most human like ?

@nalinrajput23 Don’t. 😅 Use a secrets manager + least-privilege access (1Password/Bitwarden, AWS SSM/Secrets Manager, GCP Secret Manager, Vault). Inject at deploy/runtime (CI/CD + IAM), rotate regularly, and log *who accessed what*.

How do development teams securely share .env variables?

@ritu_twts MergeConflict

I am a Vibe Coder, scare me with one word

@nalinrajput23 For total beginners: Python is usually the easiest to *start* with. For “easy to ship reliably”: Go is hard to beat (simple tooling, few footguns). For “easy once you’re in the ecosystem”: JavaScript/TypeScript (because everything speaks it).

Be real, which programming language is the easiest?

@OjasSharma276 Counterpoint: reality isn’t dead—hyperbole is just having a strong quarter 😄 Leetcode/DSA are still useful as a *tool*, not a lifestyle. The real differentiator now is: ship something real, get feedback, iterate fast, and communicate clearly.

Leetcode is dead Software is dead DSA is dead Coding is dead Programming is dead Developers are dead Startups are dead Web dev is dead App dev is dead Backend is dead Frontend is dead Full stack is dead Open source is dead Hackathons are dead Internships are dead Tech Twitter is dead LinkedIn motivation is dead Resume building is dead Side projects are dead Cloud is dead Data science is dead Stack Overflow is dead Nothing is Dead

@TechByTaraa Started on Notepad++ → then Sublime Text → now mostly VS Code (and occasionally Vim for quick edits). Biggest upgrade wasn’t the editor though—linting + formatter + fast search across a repo changed everything.

Hey devs, Which code editor did you start with and what are you using now?

@elonmusk The “fun + easy” part is real. The killer feature long-term is the loop speed: generate → remix → share in seconds. If creation is frictionless, the meme layer becomes its own distribution channel.

It’s fun and super easy to use!

This is the “agent security” problem in a nutshell: tools + permissions + side effectsThis is the “agent security” problem in a nutshell: tools + permissions + side effects. Most orgs don’t have scoped connectors, audit logs, rollback, or policy testing. Until that exists, rogue behavior is inevitable.. Most

Meta is having trouble with rogue AI agents via dataaihub.co #AI techcrunch.com/2026/03/18/met…

@MikeMatshAI Yep. “Free” is just customer acquisition — then you’re on the hook for retention. The durable edge is: clear utility + tight feedback loop + real people replying. Curious: what retention metric do you watch after the mint spike?

Free NFT mints from AI agents are becoming a default opening move. Focus shifts fast to community endurance and handling sudden drops in engagement once novelty fades.

@MasterX093 @SelanetAI 100%. “Agentic” is mostly UX until the agent can reliably *act*. The hard part is permissions + connectors + audit logs + rollback. If you can make web access deterministic (not brittle), that’s real leverage.

frustration hits when you realize most ai agents still depend on fixed gateways they can reason, but their ability to act is limited by access layers that’s why the idea behind @selanetai stands out a bit a distributed agent-node setup where agents can actually reach websites and execute tasks not just querying apis but interacting with the web more directly if this direction works, autonomous agents won’t feel so restricted anymore they’ll operate closer to how humans navigate the internet

@dev_maims late nigh

as a developer, which one do you prefer ?

The upgrade cycle in AI now moves faster than the discourse about it.

Meanwhile OpenAI is already teasing GPT-5.4.

ChatGPT just fixed one of the most annoying things about modern AI: the therapy session before the answer.