189.4K
CABe greedy when others are fearful.
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#stocks #investing #finance
@callsbyjmo
#Techexplained
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471.4K
PAThe amazon layoffs!! Are they really about AI efficiency or are they about buying more AI infrastructure? 👀#ai #education #tech #science #research #learn #fyp #learning
@parthknowsai
582.0K
TIWhat exactly is the difference between a CPU, GPU and TPU? Here is it explained simply with real world examples so you never forget it in a meeting, interview or talking to friends.
A CPU like the one in your laptop or phone is a versatile processor with a few powerful cores. It’s great for handling all kinds of tasks: browsing the web, running apps, editing documents.
And while CPUs do support some parallelism like multiple cores and vector instructions they mostly focus on versatility over scale. For AI training, which demands billions of heavy matrix operations, that’s just not enough power.
A GPU, like the one in your gaming PC or PlayStation, is built for a different job.
Originally designed for graphics rendering handling thousands of pixels and textures at once GPUs are masters of parallelism. With thousands of smaller cores, they process massive numbers of calculations at the same time. That makes them perfect for AI training
Then there’s the TPU, Tensor Processing Unit, engineered by Google specifically for AI workloads.
Unlike GPUs, which are general-purpose accelerators, TPUs are laser-focused: they use specialized designs like systolic arrays, which move data through the chip like an assembly line, rapidly multiplying and processing tensors for AI tasks.
You’ll find TPUs inside Google’s data centers, powering services like Google Translate and training massive AI models like Gemini.
#tech #techexplained #techeducation
@tiffintech
151.8K
SAThe TRUTH About the AI Layoffs 😬 #ai #tech #job #fyp
@sajjaad.khader
1.4M
TIWhat if computers stopped using electricity and started using light…?🤯
We’ve hit a wall with silicon chips.
Electrons can only move so fast and that’s what limits how quickly today’s GPUs can train AI.
So researchers are building optical neural networks processors that compute using light, not electricity.
They replace transistors with photonic circuits made of waveguides, mirrors, and modulators.
When beams of light intersect, they perform calculations…addition, multiplication literally as light waves interfere.
But how can light actually do math?
Each laser pulse represents a number.
When two pulses overlap, their amplitudes combine the foundation of matrix multiplication in neural nets.
Companies like Lightmatter are already building these chips that can train AI 1,000× faster with a fraction of the power.
#tech #stem #technology #techexplained
@tiffintech
157.1K
THAnother wave hits Big Tech — Microsoft just laid off 6,000 employees despite soaring profits.
Here’s why performance isn’t your safety net anymore — and what you need to do next.
#MicrosoftLayoffs #EliteRecruiter #CorporateTruths #CareerStrategy #TechJobs #AIShift #MiddleManagement #LayoffLife #JobSearchTips #VisibilityOverPerformance #FutureOfWork #nissan #layoffs #layoff #tech #careeradvice #deepalivyas #microsoft
@the_elite_recruiter
154.7K
TIA solar panel… that works at night? Stanford engineers just built thermoradiative panels that generate electricity from the temperature difference between Earth and space.
At night, the Earth radiates infrared heat upward and these panels use thermoelectric generators to capture that flow of energy and convert it into a small electric current.
But how can you make electricity from darkness?
It’s not the light you’re using, it’s the heat leaving the planet.
When one side of the panel is warmer than the other, electrons flow, just like in a normal solar cell but in reverse.
Right now it produces only a few milliwatts per square meter but combine this with daytime solar, and you get 24-hour renewable power.
Solar, even without the sun.
#tech #techeducation #techexplained
@tiffintech
6.8M
SH🚀 Ben 10 doesn’t “shape-shift.” He gets reconstructed.
The Omnitrix breaks down his entire body, rewrites his biology, rebuilds his brain, and restores his human template perfectly... all in seconds.
This is the most advanced bio-engineering device in fiction… and most people have NO idea.
If you’ve ever wondered how Ben survives these transformations, how the Omnitrix rewires his DNA, or how he switches back at will... this breakdown is for you.
#Ben10 #Omnitrix #Ben10Explained #ScienceFacts #SciFiScience #TransformationScience #CartoonScience #AlienTech #BioEngineering #AnimationBreakdown #NerdContent #GeekCulture #TechExplained
Ben 10 Omnitrix design -
@lucamonteleone_art
@shellshocktechnologies
60.8M
MOBack when phone bills were expensive, people found tricks to cut the cost.
One of the most common was signing up under fake names to grab “new customer” deals over and over again. Others used friends’ details, slight name changes, or burner SIM cards to reset their accounts. Family plans were also stacked with fake names to unlock bigger discounts.
It worked because carriers only checked names, not strong IDs. Eventually the loopholes closed, but for years, people saved big by gaming the system.
#Telecom #ConsumerHacks #PhoneBills #Money #History #TechExplained
@moneyhelpful
5.9M
PEWindows Task Manager lies about high CPU usage. Hidden Microsoft tracking services like telemetry and diatrack secretly eat up 40% of your CPU power, disguised under system names. Learn how to disable these unnecessary windows services (Connected User Experiences, Compatibility Appraiser) that kill your PC performance. Stop Microsoft spying and reclaim your computer speed instantly!
We make content and explaining complex tech features simply in our videos👍🏻
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#familyguy #thefamilyguy #explanation #explanations #techexplained #techniques #techrevolution #windows #microsoft #cpuoptimization #telemetry #privacy #computertips #techhacks #pctips #taskmanager #windows11 #performance
@petercodelogic
2.1M
THIs America becoming a tech oligarchy? Our business columnist explains why Silicon Valley's moguls don't have as much influence over President Trump as it might seem
@theeconomist
17.0M
DEJensen Huang just introduced the NVLink Spine — a communication system so powerful it can move more data than the entire Internet.
This is the hidden infrastructure behind the next generation of AI models… the systems that will require trillions of operations running in perfect sync.
Instead of relying on old networking tech, NVIDIA built their own ultra-high-bandwidth “data nervous system,” connecting thousands of GPUs as if they were a single machine.
This is the part of AI nobody sees — but it’s the reason the future is arriving faster than anyone expected.
@deepvaultai
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