inMind

We're Blockchain Mobile Software Leaders specializing in AI, web3, crypto, & more | Top company at @clutch_co | Tailored solutions to meet your unique needs

[inMind @inMindIT]

🚀 We’ve launched our YouTube channel! 🎉

Learn how we help businesses succeed with AI, blockchain, Web3, & crypto. 💡

🎖️ Check out our awards & projects!

🎥 Watch Now: https://t.co/s32fkrKbDZ

#InMindSoftware #AI #Blockchain #Crypto #Web3 #MobileApps #Tech

[inMind @inMindIT]

🌟 Google's Gemini is here to revolutionize AI! 🌟

Check out 7 amazing examples of Gemini's multimodal capabilities in action. From user interactions to data processing, Gemini is changing the game.

Read more:
https://t.co/goZK36l6TW

#AI #GoogleGemini #MultimodalAI #Innovation #Tech #MachineLearning #ArtificialIntelligence

[inMind @inMindIT]

Want to learn how to build ChatGPT's App Ideas with Claude 3.5 Sonnet & Artifacts?

https://t.co/oN3ZZuEXPR

[inMind @inMindIT]

💡 Want to boost your AI agent? Check out this guide 🌟

"How to Improve Your AI Agent: A Guide for Founders" has tips for optimizing your AI solutions. Perfect for founders looking to stay ahead.

Read now: 🔗
https://t.co/bBM9elk04C

#AI #ArtificialIntelligence #Tech #Innovation #Founders #Startup #ProductHunt

[inMind @inMindIT]

Memecoins aren't just fun, they highlight crucial issues about consent and trust in Web3.

Dan Finlay (MetaMask) suggests they can teach us about decentralized ethics and governance. 🧐

How do we ensure informed participation in a trustless world?

https://t.co/Lhx9SnTb7T

#Web3 #TrustInCrypto

[inMind @inMindIT]

🌐 The onchain economy isn’t niche anymore:

Daily txs 📈 +50% YTD
TVL 💰 +70% to $70B+

Onchain innovation is redefining finance, gaming, and more.

Platforms like Base are driving this global shift. The future is onchain. Are you ready? 🚀

🔗 https://t.co/zcbskI7iIA

#OnchainEconomy #Crypto #Base

[inMind @inMindIT]

🚀 Big news from Mistral AI! 🚀

They are introducing a Startup Program where Selected startups get:

- 30K platform credits
- Dedicated support
- Early access to new models for 6 months
- Boost your startup with cutting-edge AI.

https://t.co/CRXr662yZM

#MistralAI #StartupProgram #Innovation #AI #Tech #Entrepreneurship

[inMind @inMindIT]

Yann LeCun (Meta) says human-level AI could arrive within 5-10 years, matching predictions from Sam Altman and Demis Hassabis.

AGI is closer than expected. Are we ready for this leap? 🤖⏳

https://t.co/6e4PNWzNP4

#AI #AGI #FutureTech

[Tsarathustra @tsarnick]

Yann Lecun says his estimate for the creation of human-level AI is not that different from Sam Altman or Demis Hassabis - it is possible within 5-10 years

[inMind @inMindIT]

Google Labs just launched GenChess ♟️✨A new experiment using Gemini Imagen 3 to create custom chess pieces with AI image generation!

Turning a classic game into an artistic canvas, one move at a time.

https://t.co/7XNnUnQGoY

#GenChess #AI #GoogleLabs #Innovation

[Google Labs @GoogleLabs]

Our latest Google Labs Experiment is here! #GenChess turns your ideas into playable art pieces using Google’s Imagen 3 model. Create and play today → https://t.co/YXWK2PKZ80

[inMind @inMindIT]

Tesla’s Optimus robot just caught a ball 🦾⚾️ This is a huge leap in robotic dexterity! New hand:

22 degrees of freedom in the hand
Mechanisms moved to the forearm (more weight)

Next: Tactile sensing + lighter forearm. Catching a ball seems simple but signals a future of human-like robotic precision.

https://t.co/sO6aPHSct8
#Tesla #Optimus #Robotics

[Tesla Optimus @Tesla_Optimus]

Got a new hand for Black Friday

[inMind @inMindIT]

Amazon has developed new generative artificial intelligence (AI) named Olympus that can process images and videos in addition to text

https://t.co/NkTFeaQzY1

[inMind @inMindIT]

Microbenchmarks experiments
https://t.co/SJRK784YjY

[Ben Dicken @BenjDicken]

More languages, more insights!

A few interesting takeaways:

* Java and Kotlin are quick! Possible explanation: Google is heavily invested in performance here.
* Js is really fast as far as interpreted / jit languages go.
* Python is quite slow without things like PyPy.

[inMind @inMindIT]

Apple is designing the more capable ‌Siri‌ to better compete with chatbots like ChatGPT.  Employees have taken to calling "LLM ‌Siri‌"

https://t.co/ibZWeSaNfS

[inMind @inMindIT]

AWS Management Console gets a fresh redesign! 🌐✨

Streamlined navigation, modern UI, and a smoother experience for managing your cloud infrastructure.

Ready to explore? #AWS #CloudTech

🔗 More details: https://t.co/vni6BsRQVT

[inMind @inMindIT]

Ensure scalability & performance with the right setup.

Watch our video now:
https://t.co/ZTsmS4tVEM

#AI #MachineLearning #Tech #Observability

[inMind @inMindIT]

Account Abstraction (AA) = EOAs + Smart Contracts 🚀

By adding smart contracts to EOAs, we can:

Use Passkeys for signing
Enable multiCall transactions
Simplify advanced account features
EIPs like 4337, 3074, & 7702 explore different ways to achieve this. AA could transform Ethereum while introducing new challenges.

#Ethereum #AccountAbstraction #Crypto

[inMind @inMindIT]

Creative minds now have a new tool to play.

https://t.co/WNJ41aONPr

[el.cine @EHuanglu]

This is mind-blowing!

NVIDIA has introduced Edify 3D, a 3D AI generator that lets us create high-quality 3D scenes using just a simple prompt. And all the assets are fully editable!

This is going to revolutionise the way we create!

5 Examples:

[inMind @inMindIT]

Are AI benchmarks failing us? 🤖

New research shows they may be poorly designed & hard to replicate—casting doubt on their reliability.

This matters because these scores influence regulation & public trust in AI.

Time for a rethink? 🔗
https://t.co/hkxnWiwZIl

#AI #Tech

[inMind @inMindIT]

This is promising!

[Rohan Paul @rohanpaul_ai]

Can LLMs reason effectively without prompting?

Great paper by @GoogleDeepMind

By considering multiple paths during decoding, LLMs show improved reasoning without special prompts. It reveals LLMs' natural reasoning capabilities.

LLMs can reason better by exploring multiple decoding paths instead of just one.

The paper finds that, CoT (Chain-of-Thought) reasoning paths can be elicited from pre-trained LLMs by simply altering the decoding process.

Original Problem 🔍:

LLMs struggle with reasoning tasks without prompting, relying on human-designed prompts or fine-tuning.

-----

Solution in this Paper 🧠:

• Introduces Chain-of-Thought (CoT) decoding

• Explores alternative top-k tokens during decoding

• Utilizes model's confidence in final answer to select reliable paths

• Combines CoT-decoding with existing prompting techniques

-----

Key Insights from this Paper 💡:

• Pre-trained LLMs possess inherent reasoning capabilities

• CoT paths exist but are often ranked lower in decoding space

• Presence of CoT correlates with higher model confidence

• CoT-decoding partially closes the gap between pre-trained and instruction-tuned models

• Task difficulty influences the presence of correct CoT paths

-----

Results 📊:

• CoT-decoding significantly improves reasoning performance across model families

• PaLM-2 Large: GSM8K accuracy increases from 34.8% to 63.2%

• Mistral-7B: GSM8K accuracy rises from 9.9% to 25.1%

• Year Parity task: Near-perfect accuracy achieved at larger model scales

• Combining CoT-decoding with zero-shot CoT prompting further boosts performance

[inMind @inMindIT]

Claude gets an emotional intelligence voice thanks to Hume. https://t.co/KPwYkq6oJZ

[inMind @inMindIT]

Scaling AI? Don't forget caching!

🗄 Cache frequently used data = less load, faster responses
⚡ Redis & Memcached = speedy data access
🌍 CDN = fast, global content delivery

Result? Optimized, responsive AI apps at scale.

🎥 Watch our video to dive deeper!
https://t.co/D53OayP0jl
#AI #Caching #Tech