Bob Klein

CEO of Digital Scientists - A Product Strategy and Development Firm, #Strategy, #CX, #UX, #Mobility, #HealthIT, #DigitalHealth, #SpeedToMarket, #IncubationZone

[Naval @naval]

AI is going to drain a lot of moats.

[Bob Klein @bobklein]

Creating software that a user wants to use - to do their job - is really hard.

[Gergely Orosz @GergelyOrosz]

Amusing how everyone (who is not a dev) who assumed *writing code* is the hard part about sw development cannot comprehend:

That now that LLMs can write code 100x faster (and 100x more) than human devs - creating the software they want is STILL hard!

Seemingly incomprehensible

[Bob Klein @bobklein]

AI's impact on jobs follows this rule: Software 1.0 automated what can be specified (rote tasks). Software 2.0 automates what you can verify—tasks where AI can "practice" w/ clear feedback. Math/code? Advancing rapidly. Creative/strategic work? Still lagging. A jagged frontier...

[Andrej Karpathy @karpathy]

Sharing an interesting recent conversation on AI's impact on the economy.

AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing.

If you were to forecast the impact of computing on the job market in ~1980s, the most predictive feature of a task/job you'd look at is to what extent the algorithm of it is fixed, i.e. are you just mechanically transforming information according to rote, easy to specify rules (e.g. typing, bookkeeping, human calculators, etc.)? Back then, this was the class of programs that the computing capability of that era allowed us to write (by hand, manually).

With AI now, we are able to write new programs that we could never hope to write by hand before. We do it by specifying objectives (e.g. classification accuracy, reward functions), and we search the program space via gradient descent to find neural networks that work well against that objective. This is my Software 2.0 blog post from a while ago. In this new programming paradigm then, the new most predictive feature to look at is verifiability. If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well. It's about to what extent an AI can "practice" something. The environment has to be resettable (you can start a new attempt), efficient (a lot attempts can be made), and rewardable (there is some automated process to reward any specific attempt that was made).

The more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm. If it is not verifiable, it has to fall out from neural net magic of generalization fingers crossed, or via weaker means like imitation. This is what's driving the "jagged" frontier of progress in LLMs. Tasks that are verifiable progress rapidly, including possibly beyond the ability of top experts (e.g. math, code, amount of time spent watching videos, anything that looks like puzzles with correct answers), while many others lag by comparison (creative, strategic, tasks that combine real-world knowledge, state, context and common sense).

Software 1.0 easily automates what you can specify.
Software 2.0 easily automates what you can verify.

[Digital Scientists @digitalscience]

💸 Offshore dev might look cheap—but hidden costs tell a different story.

Missed deadlines. Bad code. Security risks.

👉 Don’t fall for the mirage.
Read why hybrid teams deliver real ROI:
🔗 https://t.co/uumuUIoSrq

#SoftwareDevelopment #TechLeadership #Nearshore #HybridTeams #ProductDev

[Bob Klein @bobklein]

Wake-up call: Leadership in the AI age https://t.co/oXpCUVdx9o

[Tech North Atlanta @TechNorthATL]

Looking for an opportunity to get your business in front of CXOs? Purchase your vendor slot now & present 1:1 to our 10 CXOs in one high-impact evening, at our 6/11 CIO Speed Dating.

Email [email protected]
for more information or to purchase your vendor slot today!

[Tech North Atlanta @TechNorthATL]

Limited spots remain for our CIO Speed Dating on 6/11, where just 10 select vendors will present directly to 10 CXOs all in a fast-paced, “speed dating” format. Email us at [email protected] for more information or to purchase your vendor slot today.

[Tech North Atlanta @TechNorthATL]

Today’s the final day of early bird pricing for golf bays at our Tech Alpharetta TopGolf Classic, coming 9/17!
Thank you to @relevantztech , our event sponsor! Reserve your golf bay or review our sponsorship options at https://t.co/X83eKOgEti.

[Tech North Atlanta @TechNorthATL]

Is your company interested in presenting 1:1 to 10 local CXOs, in one, high-impact evening? If so, hurry & reserve your presentation slot at Tech Alpharetta’s CIO Speed Dating event. Email [email protected] for details or to reserve your vendor slot today!

[Bob Klein @bobklein]

CIOs and CTOs struggle to balance quality and cost in software development. Our cost-plus hybrid model blends U.S. leadership with nearshore execution, delivering real business value with complete transparency. 👀

#HybridTeams #CostPlusPricing"

https://t.co/DiY5HjeTIJ

[Digital Scientists @digitalscience]

🌟 Reimagine Healthcare with AI 🌟

Join us for an insightful webinar, Leveraging AI to Create a 360-Degree Patient Profile, hosted by Dennis Joseph, Head of Healthcare Practice at Digital Scientists. Discover how advanced AI tools can empower clinicians to deliver comprehensive, proactive care by integrating medical and non-medical data.

Key Takeaways:
✅ Uncover missed or dropped conditions with AI-driven tools
✅ Extract insights from structured and unstructured data
✅ Seamlessly integrate findings into clinician workflows

This session is perfect for healthcare leaders in clinical, revenue, quality, and MDS roles who are ready to innovate, improve outcomes, and ensure compliance.

Register now: https://t.co/Ynum5uSuFI

Can’t watch the live session? Don’t worry! Just register, and we’ll send you the video recording and a copy of the presentation.

Let’s explore how AI is shaping the future of patient care. Don’t miss out! 💡

#MDS #HealthcareInnovation #AI #ArtificialInteligence #AIinHealthcare #SoftwareDevelopment #DigitalScientists

[Bob Klein @bobklein]

We have been working on new solutions supporting MDS nurses working in SNFs. AI is a productivity tool, not a threat. Learn more at our webinar.

@skilled_nursing
@ahcancal

#mds #ai #SNF

[Digital Scientists @digitalscience]

🚀 Ready to boost reimbursement & improve quality outcomes?

Join our webinar to learn how AI-powered MDS assessments can transform your approach to incentives & compliance in post-acute care.

Don’t miss out—register now! https://t.co/xedTjlNgyj

#Healthcare #MDS #AI

[Bob Klein @bobklein]

A best practice for improving all user experiences. Why does it feel like such an anomaly?

#humanexperience

[Brian Chesky @bchesky]

We created a blueprint of the Airbnb experience and used it to improve our service end-to-end

[Bob Klein @bobklein]

International conference in Tampa helps advance use of voice and AI in health care https://t.co/3AL6gSBUpZ

[Bob Klein @bobklein]

“Voice should be a vital sign” @amirlahav

[Bridge2AI Voice @Bridge2aiVoice]

Register by clicking here: https://t.co/eXX2ZyR9w3

Expert panelists:
@guyfagherazzi
@charliereavis
@alexandergelbard
@richardmunassi
@amirlahav

#bridge2aivoice #bridge2ai #voiceaisymposium #voiceai #voicebiomarkers #artificialintelligence #tampa #tampafl #tampaevents

[Bob Klein @bobklein]

😬🤖
New Atlas | Boston Dynamics https://t.co/WDdDEElB27 via @YouTube

[Bob Klein @bobklein]

“The sooner healthcare systems start using autonomous systems, the safer they and their patients will be.”

It’s Time to Hand Cybersecurity Over to the Computers by Larry Ellison and Seema Verma https://t.co/zMMcl7CENu via @WSJopinion

[Bob Klein @bobklein]

We have more work to do when it comes to improving the patient journey in veterinary medicine.

#digitalhealth #veterinary
https://t.co/9NurMD4c9V

[Bob Klein @bobklein]

Many of the innovators and change agents we empower believe that traditional "IT" is where good ideas go to die. 💀

https://t.co/rQgz4tOrnC

#Innovation #Software #Digital

[Bob Klein @bobklein]

Digital Scientists provides products and services in this space, so I am grateful when I come across conceptual and educational content that goes way beyond the hype cycle. Thank you, Andreessen Horowitz..

#generativeai #aibuilder #aiapplications https://t.co/0rbpE3jYR0