If @claudeai will keep using the #tokens like this, we would keep waiting for response and still gets the limits exceeded! When we provide a detailed ruleset, does it get confused and waste tokens? #AI#ClaudeAI#Automation
american models are opaque there is no way to introspect anything about how they work or how they're hosted
deepseek has released enough information that you can almost retrain their model on your own
we're living in some weird upside down times
was waiting for this to come out
this is the only angle left to attack open source, it's going to be china fear mongering
it's going to be extremely effective as well
@ShatruganSinha Dear "छैनु" सर...
वो लोग ही अलग थे, वो दौर भी अलग था,
जब काम से प्यार, और दिखावा कम था!
कलाकार की रूह और कलाकारी में दम था,
पैसा शायद कम था, पर लोगों में जोश था!
For example, you want to build X, but AI builds Y, you spend T (time) in fixing that. Eventually you don't get what exactly is needed, compared to "AI + Manual" approach. Ratio of speed vs quality is important.
#productengineering#SoftwareArchitecture
All #VC and #Investors are promoting #AI, is it because they have invested heavily into these companies? What is your experience of building appa using AI?
Effort it cuts down is one part, effective product building with tangible user onboarding is another!
#Customer#Product
@AiwithYasir Exactly, that's why I always advocate that while learning, use id AI should be prohibited. It's like drugs - once these companies will get you used to it for free/cheap, once u are addicted they charge premium. Let's talk next year when they will increase the prices at least 3X!
@Authentic1ty@browomo True, all tries with Llama on local is either expensive (to have large model on GPU) or failure. The quality is never comparable with cloud APIs!
Andrej Karpathy: "90% of what AI twitter tells you to learn will be dead in 6 months"
Here are 10 things senior AI engineers stopped wasting time on:
1. AutoGen / AG2: moved to community maintenance, releases stalled. dead for production
2. CrewAI: demos well, breaks in production. engineers building real systems already moved off it
3. Autonomous agent pitches: the AutoGPT / BabyAGI wave is dead in product form. the industry settled on supervised, bounded, evaluated agents
4. Agent app stores / marketplaces: promised since 2023, zero enterprise traction
5. SWE-bench leaderboard chasing: researchers proved nearly every public benchmark can be gamed without solving the underlying task
6. Microsoft Semantic Kernel: unless you're locked into Microsoft enterprise stack, it's not where the ecosystem is heading
7. DSPy: philosophical merit, niche audience. not a general agent framework
8. Horizontal "build any agent" platforms: Google Agentspace, AWS Bedrock Agents, Copilot Studio. confusing, slow-shipping, the math still favors building yourself
9. Per-seat SaaS pricing for agent products: market moved to outcome-based. per-seat is already dead
10. The framework that went viral on HN this week: wait 6 months. if it still matters, it'll be obvious
what actually compounds instead:
- context engineering
- tool design
- orchestrator-subagent pattern
- eval discipline
- the harness mindset (harness > model, always)
- MCP as the protocol layer
be few steps ahead than your competitors and outperform this market till it became mass-opinion
study this.
Surat’s streets have a new mystery — a ‘ghost cycle’ that rides itself.
Built by 25-year-old Shivam Maurya, this AI-powered innovation pedals, balances, and navigates solo.
From a Class 9 terrace experiment to 2M+ YouTube followers, his journey proves curiosity can change everything.
No patents, just purpose: to make India a global innovation powerhouse.
Would you ride this futuristic cycle or build one yourself someday? Tell us what you think.
#Innovation #ArtificialIntelligence #MadeInIndia #TechForGood #FutureTech
[Artificial Intelligence Innovation, Self Driving Cycle, Indian Tech Innovation, Robotics Projects India, Future Of Mobility]
@BrentAWilliams2 The answer is simple - Yes, there will be. I also received this from college kids. The way of working would change, and we all need to adopt that. RAW skills would be much valuable anyway, #AI or no AI. We can just be focused and prepared!