FERDINARD Gh🇬🇭

I am a youth activist who is free-spirited, with positive energy and optimistic about what life gives.

[FERDINARD Gh🇬🇭 @BlanksonFerd]

We completed the @PADA_UG (Managing the PhD Process) as confident researchers. This Doctoral Academy epitomizes class and excellence. As some colleagues said “We know we didn’t know but now we know.” There is more to learn!!
#PanAfrcanDoctoralAcademy

[Skills Mastery @SkillsMastery_]

Car repair tips.

[AFRICAMUSTBEFREE!!!!!!! @engrICO2015]

Guys bookmark this 👇 u will always need it .

How to recover all files , videos etc you deleted from your WhatsApp 10 years ago .

Wow this is fantastic !!

[Inferam @InferamAI]

If your socks get torn, Grandma wang shows you a simple way to fix them 🤓

[Prince 🥇 @dawgdeyfool]

how to find your iphone in 2026

[Rohan Paul @rohanpaul_ai]

Brilliant new paper from Meta, CMU and other labs.

It shows agent speed is mostly a full-system problem, not a “faster model” problem, and with a coordinated stack.

AgentInfer, proposed in this paper, cuts wasted tokens by over 50% and speeds up real agent task completion by about 1.8x to 2.5x.

AgentInfer is a system that makes Large Language Model agents finish tool tasks faster.

A Large Language Model writes chatbot text, and an agent makes it loop, think, call tools like web search, read results, then write again.

These loops get slow because the chat history keeps growing, so every new step has more old text to reread.

AgentCollab uses 2 models, the big model plans and fixes stalls, and the small model does most steps after quick self checks.

AgentCompress keeps the important tool outputs but trims noisy search junk, and it summarizes in the background so the input stays smaller.

AgentSched avoids throwing away cached context when memory is tight, and AgentSAM reuses repeated text from past sessions to draft the next chunks the main model checks.

The punchline is that agent speed comes from coordinating reasoning, memory, and server scheduling, meaning which request runs next, not from faster decoding alone.

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Paper Link – arxiv. org/abs/2512.18552

Paper Title: "Toward Training Superintelligent Software Agents through Self-Play SWE-RL"

[Tips2Home 🏡 @Tips2Home]

Never let a pregnant woman touch these 5 things ..🤰 👇

[Fitness Hub2.0 @_fitnesshub]

Get this drinks to clean your lungs. 🥛

[The Sigma Mindset @thesigmamindset]

Napoleon Hill explains the truth about what aura really is ‼️‼️

[Healing Tai Chi @GymBr_o]

No one ever told me That EVERY multimedia Does this! 🚨 🚘

[Toyyib Adewale Adelodun @taadelodun]

This advice will help you go far in life. Listen!

[Mustang @mustang_akin]

As someone who has been in the AI Automation space for about a year now and is currently running an AI Agency in Nigeria, this is what I have learnt and this is what they won’t tell you. So please take note before entering 2026.

[𝕏 Ghana 🇬🇭 @xghana_]

This is the best life advice you'll find on the internet.

[The Tech Prophet (Amospikins) @Amospikins]

How Hackers Take Wetin No Belong to Them… Because You No Check Permissions

[The Tech Prophet (Amospikins) @Amospikins]

SQL Injection Hackers Grand Entrance To Your Database

[#TV3GH @tv3_ghana]

Senior Lecturer and Policy Analyst Dr. Joshua Jebuntie Zaato has cautioned that the Wesley Girls' High School court case threatens religious harmony in schools.

He urges the parties to withdraw the case "for the sake of the children."

#TV3Newday #TV3GH

[Department of Classics & Philosophy, UCC. @UCC_ClassPhil]

How can AI enhance research without sacrificing integrity? Find out tomorrow! Join the AI & Academic Integrity conference at UCC. Sam Jonah Library, 10:00 AM. #Ghana #AICollectiveGhana @VoiceOfUCC

[Demos Network @demos_network]

The code is open, the lines are drawn.

[KALYJAY @gyaigyimii]

Charley

[FERDINARD Gh🇬🇭 @BlanksonFerd]

@tv3_ghana I guess the blade is stronger than the fortification…We should worship the blade then😂