huseyin

[*Walter Bloomberg @DeItaone]

$NVDA - NVIDIA CEO: SK HYNIX'S PLAN TO DOUBLE WAFER CAPACITY BY 2030 NOT ENOUGH

[Shubham Saboo @Saboo_Shubham_]

All UI will be AI.

AI Agents need generative UI to EXPRESS not another paragraph of text.

[Tom Dörr @tom_doerr]

10 business-building skills for Claude Code

https://t.co/ex5Zy4tzSV

[Tom Dörr @tom_doerr]

Single-binary WhatsApp Business tool with chatbots and voice calling

https://t.co/2AbpC7nYZm

[Daniel San @dani_avila7]

NVIDIA built exactly what I needed to secure agent skills

https://t.co/y8Lt309tBq

Adding it as a GitHub Action to https://t.co/pSU4AtqPi9

Every community-submitted skill gets scanned before it goes live

No prompt injection, no data exfiltration, no supply chain risks

[Tom Dörr @tom_doerr]

100+ GTM skills for AI coding agents

https://t.co/RvCsHEIsfM

[Tom Dörr @tom_doerr]

AI engineering career guide from 2445 real job postings

https://t.co/OTYXHmvkKL

[Shubh Jain @shubh19]

Life of a person after layoffs

- woke up, no standup today
- opened laptop out of habit
- LinkedIn updated, dignity still loading
- told family "something better coming"
- day 3, still in pyjamas
- applied to 100 jobs, 2 replies
- recruiter said "we'll circle back"
- savings account shrinking every week
- skipped coffee to save ₹200
- friends got busy, calls stopped
- ate alone, scrolled job boards
- rejected by your backup company
- lowered expectations, still no call
- said yes to ₹10K less
- smiled in the interview anyway

you don't lose just the job
you lose the routine, the identity, the confidence all three, same day.

how long did it take before you felt okay again?

[Dan McAteer @daniel_mac8]

How to setup persistent Codex memory in Obsidian

1. Copy the below prompt into Codex. The prompt instructs Codex to create the memory folders in Obsidian

2. Copy the below custom instructions. They instruct Codex to use Obsidian Codex memory to save memories

That's it!

[Shann³ @shannholmberg]

I've started experimenting with gBrain + Hermes Agent

it's a shared memory layer that sits underneath my Hermes Agent company. every specialist reads from the same brain before they do anything

the architecture I'm currently testing:

> inputs flow in: my ideas, strategy context, research, social signals, performance data
> gBrain holds it all in typed folders: people/, companies/, concepts/, ideas/, media/, newsletter/, projects/, operations/
> the orchestrator (my main hermes agent) reads gBrain before every task and writes durable context back
> specialists (research, socials, outbound, newsletter, engineering) get read-first access so they wake up with full context

the flow goes like this:

> 1. research agent → gBrain: enriches the brain with new findings
> 2. gBrain → read-first context before any work
> 3. orchestrator → gBrain: captures durable decisions
> 4. tools → orchestrator uses fresh information from X, web, news
> 5. orchestrator → I bring synthesized decision support

so don´t think about gBrain as an agent, it's the shared memory layer that lets a company of agents act like a team, with cross reference and a centralized brain

[Co11ateral @co11ateral]

Chinese Backdoor for Telecom Systems

A while ago we showed the backdoor that the Chinese have been using to maintain persistence across telecom systems.

The backdoor attaches itself to a raw network socket and inspects incoming traffic. It sees packets before firewall rules have a chance to process them. So even if your firewall is configured correctly, the backdoor can still see traffic that should have been blocked.

To access the system hackers send a magic byte to get a reverse shell

We also showed how you can detect it

https://t.co/fBXtksn2Ju

@three_cube @_aircorridor #apt #redteam #blueteam

[ClaudeDevs @ClaudeDevs]

We’ve added two security improvements to Claude Managed Agents.

Self-hosted sandboxes keep the agent’s execution environment in your infrastructure or with a managed sandbox provider.

MCP tunnels let the agent connect to services inside your security perimeter.

[Brex @brexHQ]

BREX DATA: Spring 2026’s top 25 fastest-growing software vendors.

[wincy.eth @gusik4ever]

the fastest growing GitHub repos in finance this week:

1. TradingAgents (+3,822 ★)

multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and provider integrations into a single trading stack.

2. AI-Trader (+2,434 ★)

fully automated agent-native trading system. built around autonomous decision-making, price fetching, execution, and monitoring workflows. focused on end-to-end AI-driven trading infrastructure.

3. scientific-agent-skills (+2,286 ★)

plug-and-play agent skills for finance, research, science, engineering, and writing. integrates with multiple agent frameworks and supports web research, bioinformatics, cheminformatics, and analysis pipelines.

4. daily_stock_analysis (+1,272 ★)

LLM-powered stock analysis platform covering US, Hong Kong, and Chinese equities. combines market data, real-time news, AI dashboards, automated reporting, and multi-channel notifications with near-zero operating cost.

5. QuantDinger (+1,242 ★)

AI quantitative trading platform for crypto, stocks, and forex. includes live trading, strategy backtesting, market analytics, and broker integrations. built for traders experimenting with AI-assisted quant workflows.

6. Vibe-Trading (+1,148 ★)

personal AI trading agent focused on algorithmic trading and backtesting. combines lightweight automation with agent-style portfolio management and strategy experimentation.

7. FinceptTerminal (+878 ★)

modern open-source finance terminal inspired by Bloomberg-style workflows. provides market analytics, investment research, trading tools, and AI-powered financial infrastructure in one interface.

8. TradingAgents-CN (+739 ★)

Chinese-enhanced version of TradingAgents. adapts the multi-agent LLM trading framework for Chinese financial markets, datasets, and workflows. rapidly growing among Chinese quant and AI communities.

9. last30days-skill (+694 ★)

AI agent skill for researching trends across Reddit, X, YouTube, Hacker News, Polymarket, and the broader web. designed for signal discovery, narrative tracking, and internet-wide monitoring.

10. qlib (+680 ★)

Microsoft’s AI-oriented quant investment platform. covers the entire quant pipeline from data collection to alpha generation, portfolio construction, and execution. still one of the strongest open-source quant ecosystems available.

bookmark this and start today.

[huseyin @hsynk321]

@BoraOzkent Bill Ackman’ın Microsoft’ta dipten alım yapması ve rotasyonun çip hisseleri ile diğer sektörlerden yazılıma kaymasından dolayı hızlıca fikir değiştirmeniz güzel.

[Harsh @harshsinghsv]

AI Engineer Roadmap v3 is live 🔥

What's new:
→ Prompt Caching
��� Structured Outputs + Instructor library
→ E2B Code Sandboxing for Agents
→ ColPali & Late Chunking
→ Arize Phoenix & Helicone
→ Computer Use & OpenAI Assistants API

https://t.co/mgOoIvaA2g

[Priyanka Vergadia @pvergadia]

Research papers you must read for AI Engineer interviews:

1. Attention is all you need (Transformers)
2. LoRA (Low rank adaption)
3. PEFT ( Parameter Efficient Fine Tuning)
4. VIT (Vision Transformers) 5. VAE (Variational Auto Encoder)
6. GANs ( Generative Adversarial Networks)
7. BERT ( Bidirectional Encoder Representation from Transformers)
8. Diffusion Models (Stable Diffusion)
9. RAG (Retrieval Augment Generation)
10. GPT (Generative Pre-trained Transformers)

[Het Mehta @hetmehtaa]

The most complete list of LLM vulnerability research for cybersecurity I've found:

https://t.co/3L4zH8f31p

It covers threat intelligence, NIDS rule labelling, vulnerability detection, code repair, and jailbreak defenses etc.

[Dan Kornas @DanKornas]

10 projects you can build to get ahead as an AI engineer:

0. Eval harness
1. RAG + reranking
2. Prompt registry
3. LLM gateway
4. Tool-calling agent
5. Synthetic data pipeline
6. LoRA fine-tune
7. Batch inference worker
8. Hallucination monitor
9. Cost/latency dashboard

[Jason Zhu @GoSailGlobal]

腾讯也下场了

做agent memory 代理记忆项目

开源链接：
https://t.co/HIquNOzMXP