akmal

今は今、今度は今度

[akmal @akmalariqs]

the big guy is hungry

[DogeDesigner @cb_doge]

BREAKING: SpaceX is acquiring Cursor in a $60 billion all-stock deal.

• Cursor is being valued at $60 billion
• Cursor will become a wholly owned SpaceX subsidiary
• Cursor shareholders will receive SpaceX Class A shares
• The exchange ratio will be based on SpaceX’s 7-day average share price before closing
• Subject to regulatory approvals and customary closing conditions
• Expected to close in Q3 2026

Cursor is one of the world’s leading AI coding platforms and one of the fastest-growing software companies. This marks one of the largest AI acquisitions ever and significantly expands SpaceX’s footprint in AI.

[CPPAlliance @CPPAlliance]

C++ just got a new operator

It looks like this: ^^

The committee calls it "the cat-ears operator." It's the gateway to the biggest language change since templates 🧵👇

[akmal @akmalariqs]

and that person is me, i’m the watcher

[Electra @Electrarythm]

There is a certain type of person everywhere now, especially online.

He consumes endless information every day: philosophy, psychology, productivity, spirituality, neuroscience, business, self-improvement, history.

He knows a little about everything and deeply experiences almost nothing.

His entire identity becomes built around understanding instead of living.

He watches videos about confidence instead of speaking confidently. Reads about discipline instead of becoming disciplined. Studies relationships instead of learning how to love. Consumes motivational content instead of taking action.

He feels intelligent because he is constantly mentally stimulated. But stimulation is not transformation.

Most of the time, knowledge becomes emotional protection. Reality is unpredictable. Reality humiliates. Reality exposes weakness. Books and ideas do not.

Inside information, he can continue imagining himself as intelligent, deep, insightful, different from ordinary people. So he remains trapped in preparation.

He constantly feels as if he is "becoming" someone, while his real life remains strangely untouched. He develops sophisticated language for problems he never confronts directly. He can explain human behavior beautifully while being unable to handle ordinary discomfort, rejection, uncertainty, loneliness, or risk.

He slowly turns life into observation instead of participation.

The internet rewards this personality heavily. He receives validation for sounding aware rather than becoming capable.

Eventually, he begins confusing self-analysis with growth and information with wisdom.

But beneath the intelligence usually exists the same thing: fear. Fear of failure. Fear of embarrassment. Fear of reality answering back.

Because action destroys fantasy. The moment he truly acts, he can no longer hide inside potential.

[akmal @akmalariqs]

@dam_mp mungkin kalo rutin gue praktekin dr dulu, career path gue bisa lebih melenting lg😭

[Khushi @khushiirl]

Found the Best Resource to learn Harness Engineering. 😭

https://t.co/3F1rwTCbKZ

[Meridian Research Indonesia @meridian_rsrch]

Letter #10 is live!

Koperasi Desa Merah Putih. The initial target was 80,000 fully running cooperatives. Today, only … are operational. Is KDMP living up to the hype, or is it just another minimarket, with higher prices?

And what does all of this mean for $AMRT, which has shed 30%+ since the instruction was signed? The market is pricing in KDMP's success. But the data tells a different story.

We break down the latest numbers, the supply chain reality on the ground, and what really is AMRT’s alluring charm for the next couple of years.

We also discuss $IHSG in this letter. After a string of trap like movements, last week’s move makes it harder to ignore the main question, is this liquidity hunting, or a real shift that opens up a buying opportunity?

Read our latest letter through the link below:
https://t.co/00YJKxPJom

#MeridianResearch

[Google Research @GoogleResearch]

🚀 Introducing Gemini-SQL2, our breakthrough text-to-SQL capability powered by Gemini 3.1 Pro! We've achieved state-of-the-art results on the highly competitive BIRD benchmark, translating natural language into execution-ready SQL queries. 🧵👇

[shadcn @shadcn]

In light of what happened, I'm doubling down on skills like /improve.

A frontier model got pulled. If it happened once, it's gonna happen again. Fable today. 4.9 tomorrow or maybe gpt 6 one day.

So, treat intelligence as borrowed. Drain intelligence when it's available. Build a catalog of plans today. Then implement later with a cheaper, open source, or a model you control.

Build the backlog now.

https://t.co/rqHw0fPv4G

[Hylexa. @4thinfected]

Skill shadcn baru rilis nih namanya improve.

Model mahal kayak Opus 4.8, Fable 5 atau GPT 5 itu kemahalan kalau cuma disuruh ngetik kode.

Jadi di sini dia cuma difokusin buat mikir atau analisa aja.
Baca seluruh codebase, cari apa yang perlu dibenerin, terus bikin spec detailnya.

Implementasinya diserahin ke model yang murah, tinggal ngikutin spec yg udah buat, kualitas analisa maksimal, but credit jauh lebih hemat.

Repo : https://t.co/9U0YjTTwU5

[akmal @akmalariqs]

mempermudah keikutsertaan kebobrokan pemerintah dapat memicu rasa tidak peduli ke sesama warga. dg harga seribu rupiah, mereka dapet misinformasi murah juga membuat yg ikut buzzer makin acuh dg keadaan

[uis. @queerisy]

LOH?????? YANG BENER MAH SERIBU KAK… 1.000 RUPIAH NEMU DI SEBELAH 😂😂😂

[akmal @akmalariqs]

@elisa_jkt @ecommurz @pramonoanung has the opportunity to do the funniest thing

[akmal @akmalariqs]

@unilubis @IDNTimes depan dpr gasegininya, dr kemaren salah venue ternyata

[akmal @akmalariqs]

explain @grok

[Anupam Haldkar  @AnupamHaldkar]

As a Backend Developer, Slap yourself if you cannot clearly explain at least 10 of the following:

TCP congestion control algorithms
TLS 1.3 handshake internals
HTTP/2 multiplexing & HPACK
HTTP/3 + QUIC packet loss recovery
Connection pooling pitfalls
Zero-downtime deployment strategies
Database transaction isolation levels (serializable vs snapshot)
B-tree vs LSM-tree index internals
Query planner & cost-based optimization
Deadlock detection & prevention
ACID vs BASE trade-offs
Two-phase commit vs Saga pattern
Distributed locking (Redlock pitfalls)
CAP theorem in practice
CRDTs & conflict-free replicated data types
Eventual consistency anti-patterns
Kafka partition rebalancing & exactly-once semantics
RabbitMQ dead-letter queues & message ordering
gRPC streaming + flow control
GraphQL resolver batching & N+1 problem
OAuth2 token introspection vs JWT validation
Rate limiting algorithms (token bucket vs leaky bucket)
Circuit breaker + bulkhead patterns
Observability: OpenTelemetry tracing propagation
Prometheus metric cardinality explosion
Log aggregation with sampling
Memory-mapped files vs traditional I/O
Garbage collection tuning (G1 vs ZGC)
Thread pools vs virtual threads (Project Loom)
Actor model vs shared-memory concurrency
Message-driven architecture (Akka / Orleans)
CQRS + Event Sourcing projections
Outbox pattern for reliable events
Sharding strategies & hot partition avoidance
Read replicas lag monitoring
Database connection pool exhaustion
Prepared statement caching
Index bloat & vacuum strategies
Kubernetes pod disruption budgets
Service mesh traffic shifting
Serverless cold-start mitigation
API gateway throttling & caching layers
Background job queues (Celery / BullMQ) retry semantics
Distributed cache invalidation (cache-aside vs write-through)
Eventual consistency in cache
Idempotency keys in API design
Optimistic locking with version vectors
Paxos / Raft consensus internals
Byzantine fault tolerance basics
Chaos engineering principles
Database failover & split-brain prevention
Microservices observability (distributed tracing)
API contract testing (Pact / Spring Cloud Contract)
Backward-compatible schema evolution
Protobuf vs JSON performance trade-offs
Binary protocol parsing
Zero-copy networking (sendfile)
epoll / kqueue internals
Syscall overhead & context switching
Memory barriers & CPU cache coherence
Lock-free data structures
Bloom filters & HyperLogLog in practice
Consistent hashing for load balancing
Virtual memory & page faults impact
Container runtime security (seccomp, AppArmor)
Sidecar pattern limitations
Service discovery (Consul vs DNS)
Blue-green vs canary deployments
Feature flags with rollout strategies
Data pipeline backpressure handling
Exactly-once processing guarantees
Idempotent consumers in event streams

And if you only know 10 — kindly return the “Senior Backend Developer” title. 😄

[akmal @akmalariqs]

@pak_erte92 walaupun sy baru sadar tahun ini tapi emang US banyak banget maling resources negara lain secara paksa, awal tahun ini Venezuela, skrg Iran

[akmal @akmalariqs]

@lynxluna apakah AI akan buat lebih banyak bloated software juga pak? vibe coding juga kyknya buat barier entry lebih gampang

[akmal @akmalariqs]

@valenttt____ setuju tapi gabakalan peduli pemkotnya mah, yg keteken kaum menengah lagi. strategi ini bagus kalo lawannya bermoral, gubernurnya aneh, pemkotnya gamungkin lebih baik

[akmal @akmalariqs]

@archahcra ada bawaannya juga

https://t.co/9IX5dqQa64

[Xiaomi MiMo @XiaomiMiMo]

🚀 MiMo Code V0.1 is now live and open-source！

More than an AI coding assistant in your terminal — it's the smartest coding partner you'll ever work with.

Comes with MiMo V2.5, a multimodal model available free for a limited time, featuring a million-token context window—ready to use out of the box.

♾️ Infinite Context: Knowledge accumulates automatically, and with lossless compression, even million-line projects keep every critical detail intact—quality never drops.
🧠 Agent-Model Synergy: An Agent framework deeply optimized for MiMo, with a full closed loop of testing, review, and validation—so complex tasks get done in one pass.
📝 Compose Mode: Specs → Plans → Build → Report. Design first, code second—clear thinking, no rework.
🔄 Self-Evolving System: Every session is automatically reviewed, distilling experience and best practices—the more you use it, the smarter it gets.
🎙️ Voice Input: Powered by MiMo-V2.5-ASR — just speak instead of type, and your voice becomes the prompt for truly hands-free coding.
🔌 Claude Code Compatible: Automatically loads your existing skills, MCP servers and commands, and reuses your API configuration—zero-cost migration, no setup required.
🌐 Open & Flexible: MIT licensed, with support for leading model providers including Anthropic, OpenAI, DeepSeek, Kimi, GLM and more.

Install in one line:
Mac & Linux
curl -fsSL https://t.co/ViHsb4eGns | bash
(For the best experience，we recommand Mac user use it on iTerm or vscode terminal)
Windows
npm install -g @mimo-ai/cli

🔗 Learn more
Website ↓
https://t.co/Aq9BVuyA9a
Blog ↓
https://t.co/f40wLgQicK
GitHub ↓
https://t.co/O5Mj3rzl9g

[akmal @akmalariqs]

i’m too hooked on claude code, probably will build my own harness to steer these open models😭

[Sandro @pupposandro]

This is still insane...

[akmal @akmalariqs]

@archahcra thank you pak🙏