TechBroNews

Leading the charge in Tech 💻 and Innovation💡News 🪙

[TechBroNews @Techbronews]

Bitcoin introduced blockchain to the world, but currency was only the first use case—not the destination.

@Bitcoin @blockchain @TechCabal

https://t.co/8BsiWzyT3s

[Learn Computer @LearnCompumrdp]

How secure is your Wi-Fi

[TechBroNews @Techbronews]

Predictive systems now influence opportunity, safety, and mobility. That power demands responsibility equal to its reach. @AIEngineerHub
#LulaNaPaulista

Read More 👇
https://t.co/mI9mP0eO1b

[TechBroNews @Techbronews]

Technology leaders, regulators, and developers face a shared mandate: embed fairness at every stage—from data collection to deployment.

Because the future of predictive AI will not hinge solely on accuracy.
@GoogleAI #1410STATIC

Read More 👇
https://t.co/mI9mP0eO1b

[Julia Collins @julia_coder_]

15 AI tools you should know in 2026 ⚡️

1. Kagi
https://t.co/LiHwIn6mFc

2. Recraft
https://t.co/iX1catK3If

3. Ideogram
https://t.co/KRtAQRs5O9

4. Pika
https://t.co/GdfgEPvd2R

5. Viggle
https://t.co/VGiiyJ11Om

6. Wondercraft
https://t.co/ASzvbqDmSi

7. AudioPen
https://t.co/dGGCSTxN1u

8. Reclaim AI
https://t.co/xK0Cs5BYQM

9. Taskade
https://t.co/ObGNk3sqRr

10. Julius AI
https://t.co/miH7L9w4X1

11. Humata
https://t.co/HE0r14Tfaz

12. Scite
https://t.co/QYy9iDbhc2

13. Magic Patterns
https://t.co/JPF3Stgrrp

14. Lovable
https://t.co/JedX6Hcidu

15. Zapier Agents
https://t.co/r9njNNpXhM

Follow @julia_coder_ to discover AI tools worth knowing and using.

[Natan Mohart @natan_mohart]

7 PRINCIPLES OF POWERFUL STORYTELLING:

[Sumanth @Sumanth_077]

Github Repo: https://t.co/TLI4wGRKWB

[Sumanth @Sumanth_077]

Google open-sourced Harness²!

Harness² is a framework for recursively improving the harness around an agent while keeping the underlying model weights fixed.

The interesting part is that it does this at two different levels.

For the current task, Harness² uses a Propose → Probe → Compose loop. It proposes changes to the harness, runs those variants on the same task, compares how the executions behave, and then composes a better harness from that evidence.

That is the task-level recursion.

But the process does not reset after every task.

Harness² also keeps the harnesses it adopted and the lessons supported by execution evidence, then uses those to guide how future harnesses should be improved on new tasks.

That is the harnessing-level recursion.

So one loop improves the harness for the task in front of the agent.

The second loop improves how the system learns to build better harnesses over time.

The editable harness itself can include the system prompt, guardrails, memory, tool guidance, subagents, skills, scripts, and plugins.

You can also run the recursion in two ways:

Parallel recursion explores more candidate harnesses.

Sequential recursion carries the refined harness and accumulated evidence through multiple Propose → Probe → Compose steps.

Google reports that even a single Harness² step improved GLM-5 and Gemini 3.5 Flash across JobBench, LAB, and WorkBuddy-Bench, with larger task-level recursion budgets bringing further gains.

That is what makes Harness² more interesting than just another agent framework.

It is treating the harness itself as something that can be iteratively improved from execution evidence, both within a task and across tasks.

100% open source.

I’ve shared the GitHub repo in the comments!

[Swapna Kumar Panda @swapnakpanda]

AI ENGINEERING is the FUTURE. Become an AI Engineer in 2027 by learning these NOW:

[TechBroNews @Techbronews]

Cybercriminals are now using deepfakes for fraud, impersonation, misinformation, and corporate attacks. @CISACyber
#DebateNaGlobo #CyberSecurity

Read More 👇
https://t.co/k0oZKeefKY

[Mohini Goyal @Mohiniuni]

STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI.

I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses.

VIDEOS:
1. LLM Introduction — https://t.co/dMRYzv2glK
2. LLMs from Scratch — https://t.co/ZqJA58p4IV
3. Agentic AI Overview (Stanford) — https://t.co/yV6998qIQd
4. Building & Evaluating Agents — https://t.co/5mUQAfc8It
5. Building Effective Agents — https://t.co/MMhhwDV0f4
6. Building Agents with MCP — https://t.co/O2P1yXc6k5
7. Building an Agent from Scratch — https://t.co/AVsw8VzQTS
8. Philo Agents — https://t.co/9KXVt3LpVB

GITHUB REPOS:
1. GenAI Agents — https://t.co/eF7J3oVDDM
2. Microsoft AI Agents for Beginners — https://t.co/SN89Ce2H4m
3. Prompt Engineering Guide — https://t.co/OZVkfc3UCd
4. Hands-On Large Language Models — https://t.co/uvHgW6uqfP
5. GenAI Agents — https://t.co/jcdXdhUTds
6. Made with ML — https://t.co/ImutBpTHRY
7. Hands-On AI Engineering — https://t.co/G01J4TBsdh
8. Awesome Generative AI Guide — https://t.co/Gzqjbw4fjZ
9. Designing Machine Learning Systems — https://t.co/XPIrAuGbzB
10. Machine Learning for Beginners — https://t.co/cRRLcQgmif
11. LLM Course — https://t.co/JuvicKuwLc

GUIDES:
1. Google's Agent Whitepaper — https://t.co/kHkvXYu2vB
2. Google's Agent Companion — https://t.co/r2EwHcDQuL
3. Building Effective Agents by Anthropic — https://t.co/HAiHJZf80C
4. Claude Code Agentic Coding Practices — https://t.co/dF5Oa4Rw10
5. OpenAI's Practical Guide to Building Agents — https://t.co/U2hUuv8IH4

BOOKS:
1. Understanding Deep Learning — https://t.co/xVKGHk8yp4
2. Building an LLM from Scratch — https://t.co/A1djwzzzc2
3. The LLM Engineering Handbook — https://t.co/XEkavMrKMJ
4. AI Agents: The Definitive Guide — https://t.co/UsFUB2YH1Z
5. Building Applications with AI Agents — https://t.co/kSjvEDd5On
6. AI Agents with MCP — https://t.co/xHgPjZ8znI
7. AI Engineering — https://t.co/8orWlnvAzm

RESEARCH PAPERS:
1. ReAct — https://t.co/ObYdX0TWjd
2. Generative Agents — https://t.co/vNukwpGAXg
3. Toolformer — https://t.co/5PCXYSIvve
4. Chain-of-Thought Prompting — https://t.co/epdlBkOCbu

COURSES:
1. Meta Data Analyst Professional Certificate: https://t.co/SGNCeOIGh2
2. Google Advanced Data Analytics Professional Certificate: https://t.co/FzC2gfllVu
3. Microsoft Power BI Data Analyst Professional Certificate: https://t.co/LElfRkZX4B
4. Google Data Analytics Professional Certificate: https://t.co/Yxymfd4HJz
5. Introduction to Data Analytics: https://t.co/rEzeCNEiRN
6. Machine Learning Specialization: https://t.co/lBiHlPzC6z
7. IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate: https://t.co/vVpcYYw0Kk
8. Deep Learning Specialization: https://t.co/5gRjuy7Nca
9. Crash Course on Python: https://t.co/D6JCUU3i0X
10. Python for Data Science, AI & Development: https://t.co/SkKtfXTe7P
11. ChatGPT + Excel: AI-Enhanced Data Analysis & Insight Specialization: https://t.co/lv8GNM2CvN
12. Work Smarter with Microsoft Excel: https://t.co/tZ3XiLs3KA
13. Microsoft Excel Professional Certificate: https://t.co/EZ65YvmgUj
14. Excel Basics for Data Analysis: https://t.co/wEYI2zKteO
15. SQL Foundations: https://t.co/PzfiCYsSVA

Repost so someone else can find this roadmap, and pls consider following @Mohiniuni for more content around AI, Beauty, and businesses.

[TechBroNews @Techbronews]

Once AI-powered attacks become cheap, scalable and widely accessible, organizations may have far less time to react.

The best time to improve security is therefore before attackers force the issue. @cyber

Read More 👇
https://t.co/qgxzAoyVSX

[NIMC @nimc_ng]

We at NIMC encourage you to keep your personal data safe.

#cybersecurityawarenessmonth

[Anthropic @AnthropicAI]

Applications are now open for two new Anthropic Fellowships.

STEM Fellows (science and engineering) and Conceptual Reasoning Fellows (philosophy, cognitive science, economics, policy, and law) will spend four months at Anthropic from January 2027, working to help Claude reason well about some of the hardest problems in those fields.

For more information, see the descriptions below. The application deadline is October 28.

Conceptual Reasoning Fellows: https://t.co/kTaBPqttbK

STEM Fellows: https://t.co/KkD5ruJkjq

[TechBroNews @Techbronews]

MOST READ

[Anthropic @AnthropicAI]

Applications are now open for two new Anthropic Fellowships.

STEM Fellows (science and engineering) and Conceptual Reasoning Fellows (philosophy, cognitive science, economics, policy, and law) will spend four months at Anthropic from January 2027, working to help Claude reason well about some of the hardest problems in those fields.

For more information, see the descriptions below. The application deadline is October 28.

Conceptual Reasoning Fellows: https://t.co/kTaBPqttbK

STEM Fellows: https://t.co/KkD5ruJkjq

[TechBroNews @Techbronews]

Ultimately, the strongest security strategy is not one where employees never make mistakes.

It is one where a human mistake does not automatically become a security breach. @cyber

Read More 👇
https://t.co/DCgybNiaKu

[Ayasha @I_AM_AYASHA]

9 FREE AI COURSES — START LEARNING TODAY!

1️⃣ AI for Everyone — Andrew Ng
https://t.co/JR3Ysm03xu

2️⃣ Introduction to Generative AI — Google
https://t.co/SBSL272F87

3️⃣ Prompt Engineering — Vanderbilt
https://t.co/3waavL8kPZ

4️⃣ Google AI Essentials
https://t.co/Bww4rQLZZ8

5️⃣ AI Foundations — IBM
https://t.co/foEf9KWSO1

6️⃣ Generative AI for Everyone
https://t.co/gTeWIKJtLo

7️⃣ Harvard CS50 AI with Python
https://t.co/byBfVE3Bue

8️⃣ Artificial Intelligence — MIT
https://t.co/3FoH7wzrR3

9️⃣ Career Essentials in Generative AI — Microsoft & LinkedIn
https://t.co/iOrqQVouVd

💡 Learn AI skills from world-class institutions without spending a fortune.

🔖 Save this post & start learning!

[AsyncTrix @asynctrix]

31. Why Does VPC Peering Get Difficult at Scale? 👀

Connecting 2 VPCs is simple:

VPC A ↔ VPC B

That's VPC Peering.

But what happens when you have 50 VPCs?

You end up managing many point-to-point connections and routes.

That's where Transit Gateway helps.

VPC Peering
→ Simple point-to-point connectivity

Transit Gateway
→ Centralized hub for many VPCs

Start simple.
Scale smart. 🚀

[Toyyib Adewale Adelodun @taadelodun]

Cybersecurity Scholarship Opportunity!

Please Share 🙏

Sycom Cybersecurity Scholarship 2026/27, designed to support talented and motivated individuals who are ready to take their first serious step into cybersecurity.

🎓 What you can expect:

✅ Structured cybersecurity training
✅ Practical, hands-on learning
✅ Certification preparation
✅ Mentorship and career guidance
✅ AI & Cybersecurity fundamentals
✅ Practical work experience opportunities
✅ Access to the Sycom cybersecurity community
✅ A pathway towards further professional development

Looking for people who are curious, committed and ready to learn.

Sycom is interested in your potential, your motivation and your willingness to put in the work.

🌍 Open to eligible applicants across Africa.

📢 Applications are now open.

If cybersecurity is the career you want to build

👉 Apply here: https://t.co/opBbX8ouug

#CybersecurityScholarship #Cybersecurity

[TechBroNews @Techbronews]

The human factor in cybersecurity remains one of the most important risks companies face.

But calling employees the weakest link tells only half the story.

Modern cyberattacks increasingly combine technology with psychology. #Isaías

Read More 👇
https://t.co/DCgybNiaKu

[TechBroNews @Techbronews]

Business email compromise, or BEC, is a particularly damaging form of social engineering.

The attacker attempts to manipulate a business transaction.

For example, a fraudulent request may appear to come from an executive or trusted supplier

Read More👇

https://t.co/DCgybNiaKu