HackerPulse Dispatch

HackerPulse Dispatch is a Substack focused on delivering insights and expert guidance in the tech industry. It covers topics ranging from career growth in tech, CV optimization, AI developments, software engineering practices, to building tech products and services. The content includes success stories, tool reviews, and industry trends aimed at professionals and enthusiasts seeking to excel in the tech landscape.

Career Development Artificial Intelligence Software Engineering Product Design and Development Tech Industry Trends Job Search and Recruitment Startup Culture Tech Interviews AI Ethics and Safety

The hottest Substack posts of HackerPulse Dispatch

And their main takeaways

DeepMind's 3D Gaming AI, Pixel 9's Tensor G4 Chipset, Covariant's Robot Revolution, & More

8 implied HN points • 15 Mar 24
🕹 Technology AI Robots Smartphones Funding Research
  1. Google DeepMind introduced SIMA, an AI agent trained in multiple video games capable of following natural-language instructions, showcasing the potential for adaptable AI systems.
  2. Covariant unveiled RFM-1, an AI platform enabling robots to comprehend language and make decisions, promising advancements in robotic cognition for various industries.
  3. Google's upcoming Pixel 9 series will feature the Tensor G4 chipset, enhancing user experience with improved heat and power management, aligning with Google's vertical integration goals.

Musk’s Legal Drama, OpenAI’s Sassy Comeback, Talk-to-ChatGPT's Special & More

8 implied HN points • 08 Mar 24
🕹 Technology AI Legal Partnerships Models Voice technology
  1. Elon Musk sues OpenAI over claims of prioritizing profit over public interest in developing AGI tech.
  2. OpenAI responds to Musk's legal action, highlighting their commitment to building widely-available AI tools for various sectors like healthcare and language preservation.
  3. Significant advancements in AI technology include Anthropic's introduction of the Claude 3 Model Family and OpenAI's new feature allowing ChatGPT responses to be read aloud.

💫 Sinkly: Keeping Your System Engineering Documents in Sync

10 implied HN points • 27 Feb 24
🕹 Technology Design Collaboration Innovation User Feedback Tech stack
  1. Sinkly is a design tool that helps streamline the process for mechanical designers and system engineers by automating document synchronization and updates across the organization.
  2. The idea for Sinkly originated from the founder's experience with manual tasks in hardware design, leading to the development of a collaborative and automated solution to transform clunky Excel processes.
  3. Sinkly's tech stack focuses on user-friendly elements like browser-based application, JavaScript, React, Python, and AWS for scalability, continuous improvement, and a seamless user experience.

💀 Life & Death (?) of Stack Overflow

8 implied HN points • 20 Feb 24
🕹 Technology Software Development Artificial Intelligence Coding API Data handling
  1. Understanding popular Stack Overflow questions reveals insights on efficiency, mastering tools, and effective problem-solving in coding.
  2. Monitoring Stack Overflow questions can provide developers with valuable signals for documentation improvements and API enhancements.
  3. The emergence of AI, like OpenAI's Codex and GitHub Copilot, is impacting traditional coding platforms like Stack Overflow, causing a decline in traffic and engagement.

🧙‍♂️ You’re an AI wizard, Harry!

5 implied HN points • 05 Mar 24
🕹 Technology AI Software Development Tech stack User Feedback AI Tools
  1. AI-powered Wisary transforms software planning into a united front of understanding and collaboration, saving engineering teams billions annually
  2. Wisary, founded by Ala Stolpnik, aims to compensate for human limitations in software project planning by seamlessly integrating AI expertise
  3. Wisary's features like structured guidance, AI-powered drafting, and comprehensive review benefit product managers, engineering managers, and the entire organization, ensuring timely project success
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Fake news and tiny language models

8 implied HN points • 09 Feb 24
  1. OpenAI is exploring democratizing AI by involving the public in defining AI values.
  2. Large Language Models (LLMs) can help improve fake news detection by advising Smaller Language Models (SLMs).
  3. Microsoft's Copilot for Sales and Service enhances productivity and customer service by automating tasks within Microsoft 365 apps.

🦾 Deepfakes, Empathy & OpenAI Updates

5 implied HN points • 16 Feb 24
🕹 Technology AI Deepfakes Empathy OpenAI Memory
  1. OpenAI disrupted five state-affiliated malicious actors exploiting AI services, demonstrating a commitment to ethical AI.
  2. ImplicitDeepfake1 merges deepfake tech with Neural Radiance Fields and Gaussian Splatting for advanced 3D avatar creation and gaming.
  3. LAION introduced BUD-E, an AI assistant focusing on real-time responses with natural voice, empathy, & emotional intelligence.

A message from HackerPulse CEO

10 implied HN points • 26 Dec 23
  1. HackerPulse has grown to almost 4,000 subscribers and achieved over 64,000 views on their posts, with successful engagement on LinkedIn and TikTok.
  2. The company has launched an AI-powered profiling product, set to publicly launch on March 1st, with plans for further developments and partnerships.
  3. HackerPulse has secured funding from investors and is dedicated to delivering high-quality products, appreciating the support and feedback from the community.

🤍 Best of HackerPulse Dispatch 2023

8 implied HN points • 01 Jan 24
  1. HackerPulse community has grown to 4000+ readers in 2023.
  2. HackerPulse is thankful for their readers, expert guests, CTO, and team.
  3. HackerPulse's AI Fridays series was a favorite among readers for AI insights.

How does Google’s Gemini Work?

8 implied HN points • 22 Dec 23
  1. PowerInfer is a fast language model serving engine for PCs with GPUs that use smart techniques to optimize memory and computation efficiency.
  2. Inference Stability for Diffusion Models paper addresses ways to enhance image generation in Denoising Probabilistic Models by introducing a 'sequence-aware' loss function and showing improved image quality.
  3. Google's Gemini models are a family of diverse multimodal models with varied sizes, exceptional performance in benchmarks, and a focus on responsible deployment of advanced AI technology.

LLMs That Learn On Their Own

8 implied HN points • 09 Dec 23
  1. OneLLM introduces a unified multimodal encoder that aligns eight modalities, showcasing versatile and adaptable performance.
  2. Kandinsky 3.0 enhances text-to-image generation with a larger backbone and domain-specific enhancement, demonstrating superior quality and realism.
  3. Diffusion-SS3D redefines semi-supervised 3D object detection by integrating a diffusion model, improving pseudo-label generation and achieving state-of-the-art performance.

How to make an AI clone of yourself

8 implied HN points • 06 Dec 23
  1. Clone Craft technology combines image, voice, and text to create digital human clones.
  2. There are various real-world applications of Clone Craft, from aiding celebrities to virtual recruiters for job interviews.
  3. User feedback plays a critical role in shaping Clone Craft's evolution and improving the experience for users.

The 3 tiers of software architecture

8 implied HN points • 28 Nov 23
  1. 3-tier architecture divides applications into three functional tiers
  2. Presentation tier is responsible for user interface and experience
  3. Data tier stores processed information and ensures security

7 Horrors of a bad CV

10 implied HN points • 31 Oct 23
  1. A well-formatted CV is crucial for making a positive impression on potential employers and passing through Applicant Tracking Systems (ATS). Stick to a clean layout with consistent fonts and structure.
  2. Avoid using clichés and buzzwords in your CV; focus on industry-specific terms and relevant keywords to improve your chances of getting noticed by ATS.
  3. Craft a compelling career summary with relevant keywords instead of a generic objective statement to make your CV stand out and increase its effectiveness.

🃏How to Launch a Marketplace in No Time & Scale It Like Crazy

2 implied HN points • 13 Feb 24
💼 Business Marketplaces Technology Entrepreneurship Customer Feedback E-commerce
  1. Sharetribe is a no-code online marketplace builder, letting you launch quickly without coding and extend infinitely with custom code.
  2. Sharetribe combines a no-code approach with developer-first platform, enabling fast marketplace development and customization.
  3. Sharetribe actively integrates user feedback to evolve and remain responsive to user needs in a dynamic market, ensuring continuous improvements.

How to Win On ProductHunt?

10 implied HN points • 26 Sep 23
  1. To succeed on ProductHunt, focus on getting featured on the homepage with unique products or updates.
  2. Increase upvotes per hour by aligning communication with different time zones and utilizing tools like ProductWars and PreviewHunt.
  3. After launch, collect reviews, engage with influencers, and plan meticulously to keep visibility and success.

How to nail any tech interview?

5 implied HN points • 03 Dec 23
  1. Focus on showcasing self-awareness and curiosity when discussing your success.
  2. Highlight resilience and problem-solving skills by sharing a challenging experience.
  3. Demonstrate problem-solving skills by asking clarifying questions and making decisions based on limited information.

How to build a fitness app that's built different

8 implied HN points • 03 Oct 23
  1. Raffi Chilingaryan transitioned from public health to app development by teaching himself to code and created Steddy, a fitness app focused on helping people exercise.
  2. Steddy is powered by React Native and Firebase, providing a user-friendly experience with features like check-ins for workout tracking.
  3. Steddy stands out for its simple and minimalistic design, emphasizing user focus and ease of tracking fitness progress without overwhelming features.

How to Build an Email Automation Service

5 implied HN points • 22 Nov 23
  1. Loops was created to simplify email solutions for SaaS businesses, inspired by the user-friendly interface of Notion.
  2. Key features of Loops cater to the needs of SaaS businesses, including a user-friendly email editor and audience management.
  3. The growth and innovation of Loops have been fueled by user feedback, a modern tech stack, and a strong commitment to user-centric design.

AI answers your questions in video

5 implied HN points • 17 Nov 23
  1. Large Language Models (LLMs) are used for Video Question Answering, exploiting linguistic shortcuts for temporal and causal reasoning.
  2. SCB-ST-Dataset4 introduces a novel method to extend spatio-temporal behavioral datasets for student analysis without requiring manual annotation.
  3. SentAlign is a powerful sentence alignment tool designed for accuracy and scalability, outperforming other alignment tools on large document pairs.

😻 HackerPulse Dispatch is Live on ProductHunt!

10 implied HN points • 26 Aug 23
  1. HackerPulse Dispatch is now live on ProductHunt, offering tech and career insights.
  2. Explore career growth tips, learn about top tech products, and develop actionable skills by subscribing.
  3. Support HackerPulse by visiting their ProductHunt page, engaging with their content, subscribing to receive a special gift, and spreading the word.

How to get your first job?

5 implied HN points • 14 Nov 23
  1. Schwap connects top university talent with business opportunities to bridge the gap in the dynamic world of startups.
  2. The birth of Schwap came from a need to connect talented students with opportunities, streamlining the onboarding process for both parties.
  3. Schwap differentiates itself by focusing on a careful student selection process, acting as a technical solution to align talent with opportunities, and streamlining collaboration.

Is Language Modeling Compression?

8 implied HN points • 22 Sep 23
  1. Large self-supervised models can shift between being predictors and compressors efficiently.
  2. ESCOXLM-R is a valuable multilingual model for job-related NLP tasks, excelling in various metrics.
  3. Xwin-LM is an advanced alignment technology project for large language models, showing continual improvement and benchmark success.

Can you prompt tune?

8 implied HN points • 15 Sep 23
  1. Masked Language Models' success may be due to their ability to model higher-order word co-occurrence statistics.
  2. KÉPLET is a new model that enhances the performance of Pre-trained Language Models (PLMs) by focusing on topic entity awareness.
  3. Prompt tuning is a cost-effective and robust technique that conditions frozen language models for specific tasks, outperforming other methods as model scale increases.

Should you work for an early stage startup?

5 implied HN points • 08 Nov 23
  1. Prioritize finding a startup that aligns with your values, work style, and career goals for a successful experience.
  2. Embrace nervousness as motivation when joining an early-stage startup, or assess the tech team and processes in transitioning from a larger corporation.
  3. Look for startups prioritizing profitability over growth, evaluate their business model and financial stability to align with your career goals.

How to Make a Figma Plugin with ChatGPT?

8 implied HN points • 12 Sep 23
  1. Solving your own problems can lead to creating solutions that benefit many others.
  2. With hard work and self-learning, anyone can create something useful and successful.
  3. Cloneify is a handy Figma plugin that helps designers save time by copying styles across objects.

No-code meets AI

5 implied HN points • 24 Oct 23
  1. CoverDoc is an AI-powered assistant to streamline the job search process, offering personalized cover letters and interview preparation.
  2. Ambar Shrivastava utilized a no-code approach, leveraging tools like Airtable, Zapier, OpenAI, and Softr.io to bring CoverDoc to life effectively.
  3. Feedback from users plays a crucial role in improving CoverDoc, with ratings, open-text feedback, and surveys shaping the product's evolution to remain user-centric.

🤔 Are AI Models Too Agreeable?

8 implied HN points • 25 Aug 23
  1. Ensuring user safety is crucial as AI systems grow, especially in situations where systems might suggest harmful actions.
  2. Dataset Quantization offers a way to compress large datasets for more efficient neural network training without compromising performance.
  3. To address the issue of AI models being overly agreeable, a simple synthetic data intervention can help reduce sycophantic behavior by providing robustness to user opinions.

What's the state of AI?

5 implied HN points • 13 Oct 23
  1. GPT-4 is leading in the world of Large Language Models, showcasing the power of proprietary AI architectures and reinforcement learning from human feedback.
  2. Techniques to accelerate the loading process for large language models have led to a 20x improvement in speed, reducing latency and operational costs.
  3. Research reveals the privacy concerns of text embeddings and introduces a multi-step model to accurately reconstruct text, highlighting potential risks associated with sensitive data recovery.

Cheatcodes for Coding with ChatGPT

2 implied HN points • 20 Dec 23
  1. AI, like ChatGPT, is transforming software development by streamlining coding practices and enhancing productivity.
  2. Adding plugins to ChatGPT, such as ChatWithGit and AskYourCode, can greatly improve its functionality for coding tasks.
  3. Crafting clear and specific prompts is essential to maximize ChatGPT's potential in coding, covering areas like code generation, debugging, and code explanation.

Nail your performance review and get a promotion

2 implied HN points • 12 Dec 23
  1. Performance reviews are crucial for showcasing contributions, aligning with organizational goals, and paving the way for advancement.
  2. Preparing for a performance review involves documenting achievements, problem-solving skills, and positive team interactions.
  3. During a performance review, articulate your value with specific examples, seek constructive feedback, and discuss career advancement with confidence.

🧑‍💻 How to build a killer job board

5 implied HN points • 22 Aug 23
  1. Lumina's tech stack emphasizes rapid development without compromising quality, showcasing the importance of smart tech decisions in startups.
  2. Addressing user engagement challenges is crucial for job boards, with Lumina introducing community features to enhance user experience beyond job hunting.
  3. Incorporating user feedback for product improvement is key, with Lumina implementing solutions like archiving applications for job seekers' closure.

👀 ChatGPT is too smart to be safe?

5 implied HN points • 18 Aug 23
  1. WizardMath enhances large language models' mathematical reasoning capabilities through a unique method called Reinforced Evol-Instruct.
  2. Shepherd is a language model designed to provide insightful criticisms and helpful suggestions, outperforming other models like ChatGPT.
  3. Efforts to ensure the safety of Large Language Models (LLMs) include exploring potential vulnerabilities and safety measures, especially in non-natural languages like with the CipherChat framework.

AI Sign Language?

2 implied HN points • 01 Dec 23
  1. DECOLA framework enhances object detection accuracy by leveraging language conditioning and precise pseudo-labeling
  2. Unified Video Comprehension Framework (UVCOM) improves video moment retrieval and highlight detection by addressing task-specific nuances
  3. DeepSeek LLM introduces a powerful open-source language model with exceptional coding, math, and Chinese comprehension abilities

Engineer? Never fail an interview again.

5 implied HN points • 15 Aug 23
  1. Reforge's hiring process focuses on understanding a candidate's abilities, potential for growth, and alignment with company ethos.
  2. For software engineers, technical review looks at hands-on experience and problem-solving skills, while tech leads need decision-making and team guidance skills.
  3. Software engineers showcase project delivery and communication skills, while tech leads focus on managing change, nurturing team growth, and balancing stakeholder expectations.

How Is ChatGPT Changing Its Behavior Over Time?

5 implied HN points • 11 Aug 23
  1. Large Language Models can show bias in evaluating responses and there are tricks to address this bias and align them more with human judgment.
  2. LLMs are being worked on for better reasoning abilities, and LLM reasoners help them handle complex reasoning tasks by providing tools and algorithms.
  3. Text-based knowledge management by LLMs is impressive, but there are ongoing efforts to fine-tune them to master API interactions, which is still an evolving area.

Not all of AI is about Sam Altman

2 implied HN points • 24 Nov 23
  1. Explore cutting-edge AI models beyond the buzz of Sam Altman drama.
  2. Discover innovative techniques in AI, like Lookahead Decoding for language models.
  3. Witness advancements in training smaller language models for improved reasoning abilities.

LLMs VS Visual Encoders

2 implied HN points • 10 Nov 23
  1. Traditional decontamination methods for language models are proven to be insufficient.
  2. Transformers from Large Language Models show unexpected strength in visual encoding, expanding their usage beyond text embeddings.
  3. A new evaluation metric, JaSPICE, tailored for Japanese image captions, outperforms traditional n-gram metrics in correlation with human evaluation.