Greg Brockman’s TED talk demoed ChatGPT plugins.

Right away he had:
- ChatGPT create a meal idea
- DALL-E generate an image of it
- Retrieval save the chat
- Instacart add the ingredients from memory to the cart
- Zapier create & send a Tweet about it

This is the future.

AI talent is flowing from Silicon Valley to biotech (It used to be the opposite). It's going to be fun to watch what happens in that space.

New capabilities in Bard will help programmers and software developers with code generation, debugging and code explanation. It’s an exciting next step in how generative AI can accelerate innovation across industries.

Amazing! New paper shows biological age rapidly increases during stress & reverses when the stress is relieved.

In parallel to recent developments in like GPT-4, a group of scientists has recently proposed the use of neural tissue itself, carefully grown to recreate the structures of the animal brain, as a computational substrate.

Stablecoin transaction volume looks incredibly strong, even in the current market environment. Whatever people may say, the market data is clear.

People and businesses are adopting stablecoins because they offer them utility and value.

If the next version of GPT is a leap in performance as GPT-4 was fine tuning becomes a thing of the past

Current GPT-4 can go up to 32k context length, what would it mean if the next version did 64k or higher?

Your vertical domain specific model would be one prompt away.

People still want ownership over their models but the reality is that the next GPT could make it hard to justify fine tuning a model of lower quality.

Attention all neuromodulation engineers! Clarity is hiring a talented and experienced Neuromodulation Engineer to join their team.

In this role, you will work on developing and optimizing cutting-edge neuromodulation technologies to improve the lives of patients suffering from neurological disorders.

They are seeking someone with a passion for innovation, a keen eye for detail, and a track record of success in the field. If you're ready to take your career to the next level, apply now and join their dynamic and innovative team.

Global gaming report Q1'23.

Gaming public companies saw a strong recovery in Q1’23, the sector outperformed the broader market indices, and we anticipate M&A activity to strongly rebound in the 2nd half of the year.

1. The Drake Star Gaming Index, an equal weighted index of select top 25 gaming companies with ~1B or more market cap. The index was up 12% in Q1 and LTM P/E and EBITDA multiples (median) expanded by 21% and 12% respectively. 

2. Q1 was relatively quiet with 43 announced deals compared to 76 deals in Q4’22. While the majority of the deal values were undisclosed, several of the top buyers were active including Savvy Games Group / Vindex), NetEase (SkyBox Labs) and Embracer Group (Captured Dimensions and ALL CAPS ApS).  

3. Private financings stayed steady with over 200 deals (212 deals last quarter), raising ~$1.3B. Most active VCs list for Q1 was led by BITKRAFT Ventures, followed by Andreessen Horowitz, Play Ventures and Griffin Gaming Partners. 
 
2023 Outlook  

Q2’23 has started on a great note with Savvy Games Group entering the mobile gaming and publishing space with the acquisition of Los Angeles based Scopely for $4.9B and SEGA announcing the acquisition of Rovio Entertainment Corporation for $776M.  

While continue to see a steady flow of smaller to mid-sized M&A deals and several large deals, anticipate M&A activity to strongly rebound in the 2nd half of the year. Also expect several listed gaming companies to be acquired by PE firms this year.  

Expect a healthy number of early-stage financings and significantly less later stage rounds. Hot investments segments will be tools, AI, VR/AR.

5 latest top AI research papers

- Scaling transformer to 1M tokens
and beyond with RMT.
Introduces a new approach that uses recurrent memory to extend the context length of BERT, while maintaining high accuracy.

- Efficient Methods for Natural Language Processing: A Survey.
Highlights the need for efficient methods in NLP and provides guidance and promising research directions for achieving similar results with fewer resources.

- Alignment in LLMs
The paper proposes a theoretical approach called Behavior Expectation Bounds (BEB) to investigate alignment's inherent characteristics and limitations in LLMs.

- Anxiety in LLMs
Inducing anxiety in large language models increases exploration and bias. Demonstrated that the behavior of GPT-3.5 can be predictably influenced by emotion-inducing prompts.

- Think Before You Act
Proposes a new method for unifying language reasoning with actions in a single policy.

Can BCI-controlled drones help treat ADHD in children?

Researchers from the Universidad de Guadalajara and Tecnológico Nacional de México created a cognitive training program called CogniDron-EEG that uses an EMOTIV EPOC mobile EEG headset.

The system combines feedback from the drone, sound, speech, and a child's therapist with the hope of providing effective, customized training for children, both with and without ADHD.

The implosion and sale of  IBM's Watson AI assets doesn’t seem to have deterred Moderna, which is now partnering with IBM to explore quantum computing and artificial intelligence for mRNA research.

Quantum computing and AI could help scientists “understand how molecules behave and may facilitate creating entirely new ones,” IBM’s Dario Gil said in a release.

Today is a big day - launched the first open source alternative to ChatGPT - HuggingChat

Powered by Open Assistant's latest model – the best open source chat model right now – and Hugging face Inference API.

Google Cloud Web3 team are starting a startup program full of Web3-specific benefits for Web3 startups.

The Google Cloud Web3 Startup Program gives Web3 startups the technology, community, and resources they need to explore serious innovation over reliable infrastructure – enabling the evolution of dApps, Web3 tooling, services, and more at scale.

This report focuses on the core topics that are critical from the crypto/blockchain world. They go far beyond "virtual worlds":

- Digital Property
- Interoperability and composability
— Decentralization and neutrality
- Empowering creators and platforms
-Intellectual property
– Digital identification
– Data formats / standards
-Confidentiality

Massive announcements in the world of AI today from Runway, OpenAI, NVIDIA, Yelp, and a new viral AI-generated song featuring Bad Bunny & Rihanna.

Here's the rundown on everything you need to know:

1. Runway launches Gen-1 iPhone app

Runway introduced its first mobile app for iOS, allowing users to access their Gen-1 video-to-video generative AI model directly from their phones.
Soon, people will be creating entire films right from their pockets!

2. ChatGPT goes incognito

OpenAI just launched a feature for ChatGPT that allows users to turn off chat history. This allows users to choose conversations that can be used to train their models.

3. NVIDIA announces NeMo Guardrails

NeMo Guardrails is an open-source tool designed to improve the performance and safety of AI-powered chatbots like ChatGPT.
This toolkit essentially acts as a safety mechanism for chatbots.

4. Yelp adds AI-powered search

Yelp is harnessing the power of AI and LLMs to enhance their search experience.
The new search feature provides smarter suggestions, helping users discover businesses that meet their requirements better.

5. New AI-generated song ft. Bad Bunny & Rihanna

After going viral with his AI Drake/Weeknd song, ghostwriter977 has re-emerged on TikTok. His new song features Bad Bunny and Rihanna and is another banger.

This paper discusses the ethical challenges and implications of using large language models (LLMs) in Healthcare and Medicine.

It highlights the potential benefits, as well as the possible risks associated with these models, and proposes guidelines for responsible implementation in the medical field.

1. The paper argues that while LLMs have shown great potential in improving diagnostics, treatment, and patient care, there are concerns about their ethical use.

2. The author proposes that to ethically use LLMs in healthcare, developers and practitioners must address issues such as #DataPrivacy, bias, accountability, and transparency.

3. The paper emphasizes that the benefits of LLMs should not be undermined by their potential risks; therefore, adopting appropriate guidelines is crucial to ensure ethically responsible use of this technology in medicine.

This paper is worth reading because it sheds light on a critical aspect of healthcare innovation, providing valuable insights and recommendations for the ethical deployment of large language models in medical applications.

Mental illness is a brain disorder? Right?

Hang on though, а new study shows that poor body health is a more pronounced manifestation of mental illness than poor brain health.