Springtide Digital

Revolutionising digital innovation! We transform digital ideas into powerful ROI engines. #DigitalTransformation #WebDesign #ROIengine #Marketing

[Springtide Digital @springtide2012]

Work From Home Client Support Executive https://t.co/pNkc6AaqcP

[Historic Vids @historyinmemes]

An aerospace engineering company has designed a glass pod that can be attached to existing aircraft

[Springtide Digital @springtide2012]

Grant Alan Bates a knighthood in recognition of his battle for justice for sub-postmasters - Sign the Petition! https://t.co/zTvs1MS4d3 via @UKChange

[Springtide Digital @springtide2012]

Maximising ROI is our mission at Springtide Digital! 🚀 Let's transform your online presence into a powerhouse of profit and growth. Connect with us to see how your website can become your strongest asset. #ROI #DigitalGrowth #WebDesign #BusinessSuccess

[Springtide Digital @springtide2012]

🎄 🎄 Spread cheer this Christmas with Springtide! Support our chosen charity to make a real difference. Every contribution counts. Join us here: https://t.co/UAmbXkz64g 🌟#ChristmasSpirit #Charity #GivingBack

#ChristmasGiving #CommunitySpirit #SeasonOfGiving

[Springtide Digital @springtide2012]

Burning the midnight oil, working on some exciting projects for my businesses at https://t.co/MTCieADJNg 🌙🚀 The quiet hours are often the most productive. Who else is up hustling at 2 AM? 💪 #LateNightWork #EntrepreneurLife #Productivity

[centredevils. @centredevils]

🚨🚨🎙️| Patrice Evra on Sir Alex Ferguson's team talk before the Champions League final in 2008:

"Ferguson said: 'I've already won. We don't even need to play this game.' We were like: What is he talking about? The game hasn't even started.

Then Ferguson turned to me, 'Look at Patrice,' he said. 'He's got 24 brothers and sisters. Imagine what his mother had to do to put food on the table!'

Then he turned to Wayne Rooney: 'Look at Wayne. He grew up in one of the toughest part of Liverpool.' Then he turned to Park Ji-sung; 'Look at Ji, he's come all the way from South Korea.'

As the boss talks about our stories, we began to realise that he was referring to a fellowship. We were not just a football team - we were people from every corner of the world, from all kinds of cultures and races and religions. And now we were there, together in a dressing room in Moscow, fighting for a common cause. Through football, we had become brothers.

'THIS is my victory' Ferguson said. We all got goosebumps. Then we went out and won the Champions League. That's Manchester United. That's why I love this game."

[via @PlayersTribune]

[Elon Musk @elonmusk]

Facebook is manipulating the public almost everywhere on Earth.

That is why they won’t open source their algorithm.

[OpenAI @OpenAI]

We've just launched fine-tuning for GPT-3.5 Turbo! Fine-tuning lets you train the model on your company's data and run it at scale. Early tests have shown that fine-tuned GPT-3.5 Turbo can match or exceed GPT-4 on narrow tasks: https://t.co/VaageW9Kaw

[CosmicGiant @CosmicGiantWP]

Increase Your Conversion Rates with @gravityforms and Automated Email Reminders

Learn how to set up scheduled reminders for users utilizing the save and continue feature in Gravity Forms.

https://t.co/NVP0Wo5kSl

#GravityForms #WordPress

[Robert Scoble @Scobleizer]

Which is better: silicon or biological intelligence, I asked GPT-4.

Its answer:

Certainly! The debate between biological and silicon (or artificial) intelligence is multifaceted and delves into various scientific, philosophical, and ethical domains. Here's a breakdown of the relative strengths and potential weaknesses of both:

**Biological Intelligence (Humans and other animals):**

**Strengths:**
1. **Adaptability**: Humans can adapt and learn in diverse environments, even ones they were not specifically evolved or conditioned for.
2. **Integrated Experiences**: Human intelligence is intrinsically linked with emotions, intuition, consciousness, and a plethora of sensory experiences.
3. **Generalization**: Humans can learn skills and apply them in vastly different scenarios, often using abstract thought.
4. **Creativity**: Humans have demonstrated unparalleled creativity, from arts to invention.

**Weaknesses:**
1. **Processing Speed**: Biological processes are generally slower than electronic computations.
2. **Biological Constraints**: Fatigue, lifespan limitations, and susceptibility to diseases can hinder biological intelligence.
3. **Inefficiencies**: The human brain is not always efficient. It's susceptible to biases, memory inaccuracies, and cognitive fallacies.

**Silicon (Artificial) Intelligence:**

**Strengths:**
1. **Processing Speed**: Machines can process vast amounts of data at speeds incomprehensible to humans.
2. **Scalability**: Once an AI is trained, it can be duplicated infinitely without a decrease in performance.
3. **Precision**: AI can perform tasks without the human errors caused by fatigue or distraction.
4. **Data Handling**: AI can manage, analyze, and draw insights from vast datasets beyond human capacity.
5. **Continuous Operation**: Machines don't need rest, so they can operate continuously.

**Weaknesses:**
1. **Lack of Common Sense**: Many AIs lack the generalized common sense that humans possess.
2. **Emotion and Consciousness**: Current AI lacks genuine emotions, intuition, or consciousness.
3. **Over-Specialization**: Some AI models are hyper-specialized and may not perform well outside their training set.
4. **Dependency**: AI requires infrastructure, including electricity and hardware, to operate.

**Considerations:**
1. **Purpose**: The "better" form of intelligence may depend on the specific task. For instance, AIs are superior in raw data processing, while humans excel in abstract thought and creativity.
2. **Coexistence and Augmentation**: Instead of an either-or scenario, many experts believe in a future where AI augments human capabilities, resulting in a symbiotic relationship.
3. **Ethics and Morality**: The rise of AI brings about ethical concerns, such as the potential for misuse, the implications of creating conscious machines, and the societal impacts of automation.

In conclusion, whether one form of intelligence is "better" than the other is subjective and context-dependent. Both have unique advantages, and the optimal scenario might involve harnessing the strengths of both.

[Google Analytics @googleanalytics]

Reports and explorations both provide actionable insights into your web and app data. Usually, you'll see the same data in both areas, but there are times when you may see differences.

Learn why here! → https://t.co/DGzKzbftUW

[Google Analytics @googleanalytics]

Are you interested in building audiences in Google Analytics 4?

Learn how to use pre-built and suggested audiences or build your own in GA4 → https://t.co/0ijxXdQwU1

[Gravity PDF @GravityPDF]

Hey, did you know you can hide fields that aren't important in your Gravity PDF-generated docs? You can accomplish this by using @gravityforms CSS classes or the Core Booster Add-on (which is easier and more flexible). Check our tutorial video 👉 https://t.co/xAOKYSFrjo.

[mindshub @MindsHub]

Learn the most effective way to incorporate OpenAI’s GPT-4 into your software stack.

[Wayflyer @wayflyerapp]

Excuse Me: Do You Even Benchmark?

[AK @_akhaliq]

Preference Ranking Optimization for Human Alignment

paper page: https://t.co/B3tHF9kj71

Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secur AI systems. Reinforcement learning from human feedback (RLHF) has been employed to achieve this alignment by combining a reward model, typically based on Bradley-Terry paired comparison, with an RL algorithm such as Proximal Policy Optimization (PPO) to optimize LLM responses. However, RLHF exhibits complexity, instability, and sensitivity to hyperparameters. In this paper, we propose Preference Ranking Optimization (PRO) as an alternative to PPO for directly aligning LLMs with the Bradley-Terry comparison. PRO extends the pairwise Bradley-Terry comparison to accommodate preference rankings of any length. By iteratively contrasting the likelihood of generating responses, PRO instructs the LLM to prioritize the best response while progressively ranking the remaining responses. In this manner, PRO effectively transforms human alignment into aligning the probability ranking of n responses generated by LLM with the preference ranking of humans towards these responses. Experiments have shown that PRO outperforms existing alignment algorithms, achieving comparable results to ChatGPT and human responses through automatic-based, reward-based, GPT-4, and human evaluations. Furthermore, we demonstrate that longer, more diverse, and higher-quality preference ranking sequences can consistently enhance the performance of human alignment.

[AWS Education @AWS_Edu]

📣 Announcing the AWS Blueprint for Ransomware Defense. A new must-read resource with preventative measures to protect data from #ransomware events. Read the announcement & download the eBook today. 👉 https://t.co/mZ0mKJP8OX

[Gravity Forms @gravityforms]

Introducing the Official Cloudflare Turnstile Add-On v1.0

We are excited to announce the launch of our new Cloudflare Turnstile Add-On. Reduce spam with Cloudflare’s smart CAPTCHA alternative.

https://t.co/0hcICrCtoL

#WordPress #Cloudflare #AntiSpam

[Ali Ansari @aliansarinik]

Introducing GPT-VETTING:

the live pre-screening tool that enables you to objectively assess engineers skills'

With gpt-vetting, you gain access to a highly efficient talent vetting solution.

Reserve your spot on the waitlist now and enjoy free access for the next 60 days.