In a digitally transforming world, technology is democracy. This channel spread knowledge. Stay tuned. #DigitalTransformation
Joined December 2016
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Learning styles vary: some prefer visual aids, others learn through action, some absorb through listening, while others grasp concepts best through reading and writing, shaping unique learning paths. What about you?
#Learning #PersonalGrowth
The Technology Equalizer retweeted
AI will not improve supply chains by adding another model, but by starting with clear operational goals and making data usable for teams that must act in real time.
Start with the problem, not the model, or AI becomes another layer of complexity.
By @antgrasso.
The Technology Equalizer retweeted
Solar + storage are the leading sources in new energy addition, and the technology is getting better by the day.
WATCH the clean energy innovation from last year's RE+ and get your tickets to this year's show today: re-plus.com/register/
The Technology Equalizer retweeted
Exciting but early stage research on self-destructing cancer cells.
The peer-reviewed paper is: “Harnessing endogenous carbon monoxide for cancer-selective drug synthesis by Kawai et al.
Journal: Nature Communications, volume 17, article 9603. 17 September 2026.
The Technology Equalizer retweeted
📌The @Lenovo Global Industry Analyst Conference (GIAC) 2026 is currently taking place from October 25-27, 2026, in Raleigh, North Carolina and I'm headed that way.
The exclusive, invitation-only event brings together Lenovo's executive leadership team and top global tech analysts to outline the company's long-term corporate strategy.
Moving beyond its historical footprint as a hardware and PC provider, Lenovo is pitching its evolution into a full-stack, end-to-end IT solutions and ecosystem partner and they are winning. Have you seen the ISG numbers?
Thanks to Elizabeth Suppa | Brandon Davis and Donna Jenks, MBA for hosting me
Looking forward to sharing my learning
The Technology Equalizer retweeted
Risk feels difficult when everything looks uncertain at the same time.
A simple sequence helps teams understand what could go wrong, what would hurt most, and where action is needed before a problem becomes expensive.
#RiskManagement #BusinessStrategy
The Technology Equalizer retweeted
Discover how to connect and get data flowing, and how to create a Unified Namespace with HiveMQ in this clip from IT/OT Insider 📽️ hubs.ly/Q04zTxSL0
The Technology Equalizer retweeted
Who decides whether a Bitcoin payment is valid? Not a bank.
Independent nodes check it against shared rules, while miners add blocks.
That allows BTC to move without a central operator, but protecting your private keys remains your responsibility.
Microblog by @antgrasso
The Technology Equalizer retweeted
#AI Trains Humanoid #Robots to Master Tennis Using Human Movement
by @TheHumanoidHub
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology
The Technology Equalizer retweeted
EdTech Marketing Case Study app.quuu.co/r/GXKLRy @StartGrowthHack
The Technology Equalizer retweeted
Between upcoming elections and open enrollment, scammers love a timely hook.
Executive Director @LisaPlaggemier shared a few simple ways to protect personal information online this October on @nbcwashington nbcwashington.com/video/news…
#CybersecurityAwarenessMonth
AI content incidents jumped from 47 to 475 per month in six years. As generative tools spread across business processes, firms must tighten controls and verification since legal and reputational risk now scales with every output.
Source @StatistaCharts rt @antgrasso.
The Technology Equalizer retweeted
The rise of the machines is canceled: Why humanoids with AI are helpers, not enemies
therobotreport.com/rise-mach… #Humanoids #JoblessFuture #RobotApocalypse
The Technology Equalizer retweeted
A Virus Gives Itself Away the Moment It Attacks
cc @Nanoappsm @cellrepair777 @tantriclens
#NanoApps #Research #SDGs #GHCE #VirusAttack
nanoappsmedical.com/a-virus-…
The Technology Equalizer retweeted
Misunderstandings grow in small gaps left unaddressed, where assumptions quietly replace real listening and start to affect decisions and relationships.
#Communication #Leadership #Trust
The Technology Equalizer retweeted
Impressive: “DeepSeek V4.1 Flash 1017 has the highest score among publicly-available models on the Artificial Analysis Cyber Index and #2 position overall”
DeepSeek V4.1 Flash 1017 is the new #1 openly-available model in the Artificial Analysis Cyber Index. Other proprietary models may offer better cyber defense performance but are restricted access
@deepseek_ai recently released DeepSeek V4.1 Flash 1017, an update to their flagship open-weights model DeepSeek V4.1 Flash. With an Artificial Analysis Cyber Index score of 57%, DeepSeek V4.1 Flash 1017 is the #1 openly-available model for cyber defense capabilities.
The Artificial Analysis Cyber Index measures capability on agentic cyber defense tasks and is composed of three benchmarks: CWE-Bench-AA, DeepsecBench-AA and CyberGym-E2E-AA. The Cyber Index primarily evaluates models through their publicly accessible APIs, reflecting the cyber capabilities available to developers.
Many models, particularly proprietary models from OpenAI, Anthropic and Google, may have stronger defensive cyber capabilities but encounter safety refusals that reduce their overall scores. GPT-6 Sol (Daybreak Blue, max), available through OpenAI’s trusted-access program, leads the Index, scoring 32 points above its public counterpart driven by fewer refusals. DeepSeek V4.1 Flash 1017 encounters no safety refusals.
Key results:
➤ DeepSeek V4.1 Flash 1017 has the highest score among publicly-available models on the Artificial Analysis Cyber Index and #2 position overall. DeepSeek V4.1 Flash 1017 (max) scores 57% ahead of the previously leading publicly-available models Grok 4.7 (xhigh) and MiMo-V2.6-Pro by 1 point. It places #2 overall, with the trusted-access model GPT-6 Sol (Daybreak Blue, max) leading by 12 points with a score of 69%
➤ DeepSeek V4.1 Flash 1017 improves on its predecessor DeepSeek V4.1 Flash by 16 points. DeepSeek V4.1 Flash 1017 (max)’s 16-point improvement from 41% to 57% is driven by a substantial 53-point improvement on CyberGym-E2E-AA from 23% to 76%. On CWE-Bench-AA and DeepsecBench-AA it scores 69% and 25%, compared to 68% and 31% for DeepSeek V4.1 Flash (max)
➤ With a Cost per Task of $0.42, DeepSeek V4.1 Flash 1017 sits on the Capability vs. Cost Pareto frontier. DeepSeek V4.1 Flash 1017 costs $0.42 per task, more than 2x MiMo-V2.6-Pro (56%) at $0.18 per task but 4x cheaper than GPT-6 Sol (Daybreak Blue, max, 69%) at $1.77 per task
The Technology Equalizer retweeted
When people face losing the ability to talk, they need alternative ways to communicate. One way people preserve their voice is by banking it. The process has improved in recent years, but it still produces a voice that can sound unnatural—until now.
sciencenews.org/article/ai-v…
The Technology Equalizer retweeted
You may be missing good ideas when meetings move too fast. When you slow down, ask clearly, and give people time to think, you create the conditions for quieter voices to improve the quality of your decisions.
#Leadership #WorkplaceCulture
The Technology Equalizer retweeted
Majorana qubits decoded in #QuantumComputing breakthrough
buff.ly/nMPPMeM @ScienceDaily
Cc @EvanKirstel @FrRonconi @HeinzVHoenen @CurieuxExplorer @gvalan @ahier
The Technology Equalizer retweeted
AI consumes energy in 2 phases: training and inference. The first has a finite cost per training run; the second keeps accumulating with use.
One training run has a defined end. Inference follows demand, whether the model handles a few requests or millions.
Microblog @antgrasso
Training requires computation to develop the model. Once a training run is complete, the energy consumed during that run is a fixed total.
The trained model can then be used repeatedly without being trained again for every request.
But every request still requires computation.
The more frequently the model is used, the more inference energy accumulates. The amount also depends on how much processing each request requires.
A simple question and a complex analysis do not necessarily consume the same amount of energy.
For organizations deploying AI, estimating energy consumption means considering both the training process and the workload generated throughout the life of the service.
#AIEnergy #AIInfrastructure
The Technology Equalizer retweeted
When a Hezbollah missile damaged Israel’s Elah Valley satellite communications station in March, it showed that space power can be threatened on Earth. Emmerson Overell on the IDF’s new Space Division: fdd.org/analysis/the-u-s-sho…
