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Give me the grace lord ๐
Everyday I wake I want to keep living for you. ๐ฅฐ
Grant me the peace you alone bring๐
Give me the strength to keep pushing on๐
The worries will never end, but on you Iโve cast all my burdens.
AAMENโค๏ธโ๐ฅ
I trust you Godโฆ
Youโre my plan A, Plan B, Plan C, Plan Dโฆ
I wonโt worry
I wonโt fear
I know my God is always near
I trust you Godโฆ
#peace
NeuralVector retweeted
The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear privately. No other human activity poses this level of danger.
NeuralVector retweeted
Shaa guide ooo, just guide..
They call Jesus โson of Davidโ
Because Joseph na Carpenter, pikin wey him suffer train ooo ๐๐
NeuralVector retweeted
Feminists are about to โFโ around and find out what a world without men in their lives looks like.
#ThursdayPrayer
God, lead me into Your peace that passes all understanding. Show me the daily steps I can take to walk in Your peace for me. AMEN
NeuralVector retweeted
i genuinely hate building normal web projects,
i prefer building things that makes me question my sanity
NeuralVector retweeted
Before you watch this video, I want you to injest every word that comes out of the narrators mouth.
Don't lose focus or allow anyone to distract you.
Towards the end, she emphasised on two key things:
1. The feminine strength is cunning
2. Gynocentric indoctrination
Watch it
NeuralVector retweeted
โIf the first man was white โฆ.โ
Minister Farrakhan ate and left no crumbs and Iโm so here for itโ๏ธ Class is in session!
NeuralVector retweeted
Kubernetes killed more startups than server crashes ever did
You don't have Spotify's scale. You have 8 engineers and a single server that's running fine
But you watched a KubeCon talk, and now you've got 23 YAML files, a Helm chart nobody fully understands, and engineers debugging pod evictions instead of buildinga product
Your "cloud-native infrastructure" is just a cloud bill with extra complexity
A $50/month VM can handle millions of requests. Your startup will run out of money debugging networking issues long before you need horizontal pod autoscaling
The best infrastructure decision is often the simplest one
NeuralVector retweeted
R.I.P few-shot prompting.
Meta AI researchers discovered a technique that makes LLMs 94% more accurate without any examples.
It's called "Chain-of-Verification" (CoVe) and it completely destroys everything we thought we knew about prompting.
Here's the breakthrough (and why this changes everything): ๐
NeuralVector retweeted
Build fully offline mobile assistants with FunctionGemma 270M. This demo parses natural language commands like โCreate a calendar event for lunch tomorrowโ or โAdd to contactsโ to execute OS actions directly on-device.
NeuralVector retweeted
ICYMI DeepSeek has just unveiled an OCR monster ๐คฏ
DeepSeek-OCR is a 3B-parameter model that redefines document intelligence. It reaches 97% character-level accuracy with 10ร input compression, preserving every detail.
Most OCR systems require over 6,000 tokens per page.
DeepSeek-OCR achieves the same with about 100 tokens.
No fidelity loss.
Adaptive modes:
โ Tiny โ simple layouts (โ64 tokens)
โ Small โ standard reports (โ100 tokens)
โ Database โ structured or multi-column docs (โ256 tokens)
โ Gundam โ high-complexity pages (nร100 + 256 tokens)
It scales effortlessly: 200K pages/day on a single NVIDIA A100 GPU.
Its dual-stage design combines a vision encoder for optical compression with a Mixture-of-Experts decoder for structured reconstruction. The outcome is near-perfect precision and zero information loss.
In practice:
โค 10ร lower token costs
โค Runs on standard hardware
โค Outputs clean HTML, SMILES, or JSON
While traditional OCRs focus on raw pixel-to-text conversion, DeepSeek-OCR just introduces intelligent semantic parsing ๐ฅ
Open source and free to use.
Repo in ๐งตโ
