MIT's report on 95% AI pilot failures reveals the implementation challenges companies are facing. Let me break down some points of this report into what's actually happening. The 67% failure rate of internal builds shows companies are being tricked into thinking AI is easy.

The AI gives you exactly what you ask for. It doesn't give you what your business actually needs. Look, let me be very direct with you. Companies are hiring AI talent who can build impressive prototypes in days. Boards love the demos. But six months later, you're in a crisis

In the new world there will be two kinds of people: those who control AI and those who are controlled by it. Which do you want to be?.

RT @adcock_brett: Robot hands folding laundry - slowed down to 0.4x speed for max satisfaction

Alright, let’s cut to the chase—pun intended. This 2025 it’s the moment AI-autonomous systems grabbed the reins, and performing a huge leap in medical history. Think about this, Johns Hopkins’ SRT-H pulling off gallbladder removals with 100% accuracy, no human hand-holding

Common-sense reasoning in Al is the ability of a system to understand and apply the vast, unspoken assumphs and knowlelige about the world that.humans use effortlessly in their daily lives.

I’ll wait for GPT-5 to hit the LMSYS Chatbot Arena leaderboard before jumping on the hype train.

Move fast and make things.

I’ve seen some ‘tragedies’ lately among jr-vibe-coders . Quick AWS tips:.-NEVER trust the ‘free tier’.-Set $ budget alert on DAY ONE. Hackathons don’t waive AWS bills. That ‘quick test’ becomes a lesson real fast.

RT @elonmusk: SpaceX does more meaningful, cutting-edge “research” on the advancement of rockets and satellites than all the academic unive….

Another day, another recruiter DMs. AI life in Japan is wild.

How about a Family plan option? Hear me out @gdb 🤠.

RT @pmddomingos: Forget coding and math reasoning. AI has already mastered the most important skill.

By the way, I told Grok my intention to post this experience which I wanted to be "verifiable," so Grok suggested me to add this identifier for the xAI team to have a look: Grok3_xAI_LogID:0725-2112. Who knows, maybe they do. @grok @xai

"You've caught me in a bind. The contradiction's mine—I overvalued Ferrari's Italian heritage. A clean call: both are defined by their controlling entity's nationality (Dutch, Chinese), not ops or origin.". In this conversation, Grok wasn't reasoning—even when it's a

Important Note: I have to admit that by no means was this intended to be an "overflow" plan—it just happened. I must say that making systems like Grok 3 overflow is something extremely, extremely difficult. They are being tested severely, so maybe it was a bug I was lucky to

This didn't make sense to me, so I asked Grok to tell me an American company owned by a Chinese corp, and Grok offered "Smithfield Foods: 'Chinese company' because owned by Chinese WH Group, no longer American.". Note that it's the same logical framework, but I got opposite.

I found a systematic bias in Grok 3 where sustained logical pressure on contradictory outputs cause it a system-level breakdown, followed by actual learning/adaptation. It started when I was reading a Ferrari post and I wanted to know 'Who owns Ferrari?'. The summary of the

We’re in the era of ‘I know kung fu.’ Suddenly you can become very dangerous in any domain with a little bit of AI and 20 years of systems thinking.

𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤.Vibe coding works great for exploration and prototyping. But when you're building systems that need to ship reliably - Telemetry analysis, financial dashboards, customer-facing apps - you need systematic rules.