Anveshak

ML/AI developer working with web3. Follow me for updates on web3 and AI

[Anveshak @anveshak89]

@paridhimundra @noteweave_ @yashwardhan_c @Sanyam0605 make sure virtual participation is possible.

[Anveshak @anveshak89]

🌍 AI for a cooler planet! Join Hack for Earth — Green AI 2025 & build:📷 AI that fights climate change 📷 Two days left, @kaggle #Hack4Earth #SustainableTech https://t.co/EzWP3qgq8L

[Anveshak @anveshak89]

@FIR31415 @innocentive_ @VecrosTech This is the correct link : https://t.co/5PKXJpqvdv

[Anveshak @anveshak89]

🚀 Innovators! EDGE Group's #BlindFlightResilience Challenge: Design UAVs for GNSS jamming/spoofing. Can your autonomous UAV navigate blind (TRL >6)? Win $25K & protect your IP! Submissions due Nov 3, 2025. @innocentive_ Details: https://t.co/jme4iwdDYr"

[Connor Davis @connordavis_ai]

Multi-agent AI is a $50B lie.

99% of "multi-agent" systems are just single agents with fancy marketing.

I just read the paper that exposes what real multi-agent intelligence actually looks like.

Most people think multi-agent AI is just "multiple ChatGPTs in a room.

That's like saying a surgical team is just "multiple people with knives."

The real story is way deeper.

Task allocation is completely broken.

Current systems are basically throwing darts at a board. Give the math problem to whoever's free. Ask the creative agent to debug code. It's chaos disguised as intelligence.

Real multi-agent systems need dynamic specialization. Not just "Agent 1 does X, Agent 2 does Y" but context-aware matching based on capability, workload, and past performance.

The memory problem is insane.

Single agents just track conversations. Multi-agent systems need five different memory types: short-term task state, long-term expertise, episodic collaboration history, consensus knowledge, and hierarchical access control.

Most current systems give every agent amnesia between tasks.

Context management is where everything breaks.

Each agent needs to track three layers simultaneously: the big picture mission, their specific piece, and what everyone else is doing.

Fail at any layer and the whole system becomes expensive nonsense.

Game theory matters more than code.

When agents debate or negotiate, you're not optimizing for "correctness." You're finding equilibrium states. The research shows Stackelberg dynamics work better than Nash equilibrium for most real tasks.

Nobody talks about this because it's not as sexy as "look, the robots are talking."

The applications they outline are wild.

Agents that negotiate smart contracts autonomously. Fraud detection where different specialists hunt different attack patterns. Consensus mechanisms that actually think through decisions.

We're not building better chatbots. We're building the foundation for autonomous economic systems.

The gap between current "multi-agent" demos and actual multi-agent intelligence is massive.

Real systems will have specialized roles, shared memory architectures, and game-theoretic coordination. They'll solve problems no individual agent can handle.

Same principle that makes human teams work. Just faster, and at scale.

Most of what people call "multi-agent" today is just single agents with fancy prompting.

The companies that figure out real multi-agent coordination first will have a 10x advantage.

Everyone else is building expensive theater.

[Anveshak @anveshak89]

AI writes text, detectors sniff it out. Users demand human-like AI text, detectors evolve. Round and round we go—until AI text is just... human? 😅 The great AI text chase: hilarious, but are we chasing our own tails? #AI

[Bindu Reddy @bindureddy]

DISTURBING TRENDS

- inequality is rising exponentially
- young unemployment is over 10%
- sex (onlyfans) and arbitrage (hedge funds) have become the most profitable businesses
- internet is slowly dying from AI slop
- brain rot and LLM psychosis are becoming a thing!

We are rapidly devolving 🤯

[Anveshak @anveshak89]

@kushanmitra @atherenergy They should open-source it.

[Anveshak @anveshak89]

🚀 Join the BigQuery AI Hackathon on Kaggle! Build innovative AI solutions using BigQuery & showcase your skills. Prizes & glory await! �� #BigQueryAI #Kaggle #Hackathon https://t.co/u3BeuiZv8F

[Anveshak @anveshak89]

🧠Join #DCVLR, a NeurIPS 2025 competition on Data Curation for Vision Language Reasoning! Curate high-quality instruction-tuning examples to advance open-data, open-models, & open-source . Prizes up to $3,000! Sign up: https://t.co/y9RJURJTPl #NeurIPS2025 #AICompetitio

[Anveshak @anveshak89]

@fchollet Totally agree. It's like building a fortress out of Legos when everyone's got 3D printers now. Open source is gonna democratize this so fast. What's your take on how fast the algorithmic shift happens?

[Anveshak @anveshak89]

@Mascobot @a16z It would be great if you could provide an update on the GPU temperatures after a month or so of operation.

[Anveshak @anveshak89]

Happy Independence Day!!

[Anveshak @anveshak89]

There was an old ad in India with catchphrase "Kya aapke namak mein iodine hai?". Same way we are in era of "Kay aapke app mein AI hai?"

[Anveshak @anveshak89]

hello

[kira 👾 @kirawontmiss]

bros job is to aura farm😭

[Anveshak @anveshak89]

Happy Holi
#HoliHai

[Anveshak @anveshak89]

🚀 DeepSeek R1 is shaking up the AI world! A Chinese AI model that rivals OpenAI's best, built for just $6M. Is this AI's "Sputnik moment"? 🌍 #DeepSeek #AIRevolution