AI will impact the crypto industry, the crypto market capitalization is predicted to grow to $10 trillion by the end of 2025.

This will be facilitated by 3 factors:

1. Improved regulatory climate after the US elections

2. Influx of institutional capital through the expansion of the ETF line

3. Development of practical applications in finance and AI.

According to Hashdex research, the market is on the verge of fundamental changes.

Merging AI and blockchain

A new direction is being formed: the use of decentralized networks to verify data when training AI models and creating an infrastructure for AI agents that can independently conduct transactions via blockchain.

Technological changes

The Dencun update in the Ethereum network has radically changed the transaction economy. Commissions in L2 networks have fallen by 99%, and throughput has increased 50 times in 4 years.

Ethereum maintains its lead thanks to its mature ecosystem of L2 solutions, but Solana is gaining ground as a major competitor.

Neural networks that will do all the work for you.

▪️ Whisper is a tool for transcribing (translates speech into text) audio and video. The service is free.

When you don’t want to listen to audio or watch video, but you need to write an article on the material.

▪️ Qwen2-Math is an indispensable assistant in solving complex problems in mathematics. You can use it for free.

Suitable for both schoolchildren and students, and at work it can be useful for a number of specialties.

▪️ Storm - helps to create texts or prepare essays based on verified data. Everything we love: a free neural network.

Similar to GPT chat, but logically should give a better result due to specialization.

▪️ Explain Me Like I’m Five - explains complex topics in simple language that even a five-year-old can understand. Free service.

Now everyone can understand what a "modular blockchain" or "singularity" is.

The first-ever official jetpack races took place in Austria!

All athletes soared through the air using identical jetpacks designed by Gravity Industries. These incredible machines boast 1,060 horsepower engines and can reach speeds of up to 128 km/h.

What other thrilling sports might emerge thanks to technology in the next 10 years?

Stanford launched a free Google Deep Research clone called STORM.

It uses GPT 4-o + Bing Search under the hood to generate long cited reports from many websites in ~3mins.

It's also completely open-source and free to use.

GitHub.

Reddit launched their own LLM-based search engine

It aggregates and summarizes relevant responses across threads + links you directly to read more.

Even if you assume GPT already includes all Reddit data, this is still helpful given the clear citations.

This is similar to the value of Perplexity over ChatGPT in clearer answers and fewer hallucinations.

Another top notch open source model at OpenAI/Meta/Google levels from &MiniMax AI (Chinese lab, ex Sensetime, $850m raised). Massive MoE similar to Deep-seek.

Excels on long context (4m tokens!) which is really interesting, need to dig into their lighting attention variant.

Paper.

The Berkeley Sky computing lab just trained Sky-T1-32B-Preview, a GPT-o1 level reasoning model, spending only $450 to create the instruction dataset.

The data is 17K math and coding problems solved step by step. They created this dataset by prompting QwQ at $450 cost.

Can it be done without another reasoning model to distill?

Teach a 1000 student class and assign 17 homework problems. Side benefit: make $10M by charging $10K tuition.

Model data and full code here. Very interesting work that shows simple SFT is all you need (if you have good data).

❗️A new way to teach robots has been created, which can be compared to how we teach small children.

Former Google employees, creators of the Physical Intelligence company, have developed a new method FAST (Fast Action Signal Tokenization) for more efficient control of robots. Previously, they presented GPT for robots.

The problem that FAST solves

Existing AI models for controlling robots require a simple breakdown of actions into detailed parts, which is not efficient enough for complex and precise tasks.

Solution - FAST is a new way to tokenize (transform) robot actions that:
- Uses compression methods similar to those used in JPEG.
- organize work on performing a complex task with a high level of complexity
- Learns 5 times faster than previous methods

Robots with FAST can perform complex tasks, such as folding laundry, cleaning tables, and packing groceries.

For the first time, it was possible to create a universal model that can solve various problems in new conditions, simply by receiving commands in natural language.

The system was successfully tested at 3 American universities.

The company released a public version of the FAST tokenizer, training 1 million sequential robot actions that researchers can use for their projects.

https://www.pi.website/research/fast

Ai video generator progress in just a year is incredible!

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The developers of neuro-photoshop Krea AI have shown a new function — turning pictures into 3D objects. Any picture becomes a model that can be rotated for a better pose.

DeepSeek-R1 is here! Performance on par with OpenAI-o1. Fully open-source model & technical report. MIT licensed: Distill & commercialize freely.

Try DeepThink.
API guide.

Bonus: Open-Source Distilled Models!

Distilled from DeepSeek-R1, 6 small models fully open-sourced. 32B & 70B models on par with OpenAI-o1-mini.

❗️Dario Amodei, Anthropic, stated that AI will surpass human intelligence by 2027

Also, the founder of Anthropic said that it will appear soon.:

1. Claude's voice mode
2. Anthropic will use over a million GPUs by 2026
3. Claude will have an improved memory.
4. More intelligent models will appear in the coming months.

OpenAI is prepping to release "Operator," a new ChatGPT feature that will take actions on behalf of users in their browsers, this week.

Interesting details:
- Operator provides suggested prompts
- Users can save/share tasks
- Not available in API

OpenAI released a computer-using agent Operator as a research preview.

Ensuring safety for agentic models is far more complex than for chatbots.

Errors can lead to serious consequences—for instance, the agent might make costly real-world decisions, like accidentally spending money from a credit card.

Achieving full agentic safety will be as challenging as ensuring the safety of self-driving cars, but with an added layer of complexity.

NVIDIA Senior Researcher: DeepSeek Proves AI Infrastructure and Base AI Models Will Become a Commodity

Jim Fan, NVIDIA, says:

“Whether you like it or not,
the future of AI is its democratization, where every Internet user will be able to run advanced models even on weak devices.
This is a historical trend that is pointless to fight.”

1. DeepSeek has shown the best results in several independent tests.
2. Most importantly, they have achieved this with much less computing resources.

DeepSeek proves that it is possible to get the same level of intelligence for 10 times less. This means that with current computing power, it is possible to create 10 times more powerful AI. The timeline of AI development is compressing.

DeepSeek showed us in just 4 days:

1. Open-source AI is only <6 months behind closed AI

2. China is leading the open-source AI race

3. we are entering the LLM RL golden era

4. distilled models are powerful, we'll have highly intelligent AI running locally on our phones.

Reactions:

❗️OpenAI o3-mini available for free-tier

👽hopefully we will see less AGI/ASI vagueposting.

It’s hard to predict who will ultimately win, but don’t forget the power of the last mover advantage: Google invented the Transformer, but OpenAI unlocked its true potential.

Neural networks make schoolchildren smarter. In Nigeria, children were given access to a chatbot for 6 weeks, and then tested their knowledge with a test. The results of the experiment killed:

🤖 Students with AI score above average, without AI — below average.
🤖6 weeks of AI studies turned out to be equal to 2 years of regular
🤖AI has surpassed other learning methods by 80%.

DeepSeek, a Chinese AI app, has overtaken ChatGPT to become the No. 1 app in the US App Store.

Open source is catching up with closed models.

By the way, who doesn't know DeepSeek works for free and without a VPN.