Tashfin Delwar 🇧🇩

Technology is my passion & greater philosophy of life excites me. Creator of Kotha - first Bangladeshi social media platform.

[Chubby♨️ @kimmonismus]

Welcome to the permanent underclass, graduates.

joke aside: China is rapidly restructuring higher education for the AI era: from 2021 to 2025, universities cut or suspended 12,200 "obsolete" undergraduate programs and launched 10,200 new ones, reshaping over 30% of all degree programs.

The goal is to shift away from less job-aligned fields like arts and languages toward tech-focused disciplines tied to China’s industrial strategy, future industries, and worsening graduate unemployment crisis.

China is going all-in on AI, including in science. A significant proportion of scientists already come from China today.

By the way, it will be interesting to see how the situation regarding access for Chinese researchers and Fable 5 plays out in the future.

[MayorkingAI @MayorKingAI]

Less than 24 hours ago, Anthropic dropped Claude Fable 5

And the internet is already experimenting with crazy use cases: interactive apps, games, simulations, and AI-powered worlds

Here are 10 examples⤵️

[Shubham Saboo @Saboo_Shubham_]

This is Absolutely INSANE.

Claude Fable 5 generated the entire journey of a baby in the womb as a 3D explorable world. You literally see this in first person view.

In just ONE shot.

[Chris @ChrissGPT]

Dario Dropped A New Article!! My favorite quotes:

“AI’s scaling laws, which predict an exponential increase in general cognitive capabilities with increasing computing power, now have over a decade of empirical evidence behind them. If these scaling laws continue for only a year or two longer, we are likely to get what I’ve called Powerful AI, or ‘a country of geniuses in a datacenter’.”

“But at the same time we should recognize that there’s a decent possibility that, despite all our efforts, AI still causes significant enduring job loss—and that this may be an intrinsic property of the technology and the way it broadly replicates human cognition.”

“If AI really will soon be ‘a country of geniuses in a datacenter’, or anything remotely close to it, then AI is likely to be the dominant source of military and economic power for any nation.”

“In a virtual country of 100 million geniuses, 10 million could be applied to military strategy, 10 million to drone manufacture, 10 million to weapons R&D, 10 million to intelligence collection and analysis, 10 million to general scientific advancement, and so on.”

[Alex Finn @AlexFinn]

AI subscriptions are dead

Claude Fable 5 will only be on the Anthropic subscription until June 22nd. After that, you will need to pay for usage per token

This will be the start of a much larger trend

Frontier models will no longer be included in subs

You’ll pay a fee and it will only get you access to older, much cheaper models

If you want access to that dank AI sour diesel, you’re going to need to pay for every token you use. No more subsidies

And it make sense. The subsidies were just a Ponzi scheme

For those that don’t know, when you pay $200 a month for an AI sub, you get thousands of dollars of tokens

These AI companies actively lose tremendous amounts of money because of these subscriptions. GDPs of most countries every year are lost on your $200 Claude Max sub

The investor money is running dry. IPOs are coming because of this. And with IPOs need to come profitability

The golden age of paying $200 a month and being able to code on 40 Claude Code instances and getting a usage reset every 5 minutes are about to die

The party couldn’t continue ever. You can’t just leverage the entire global economy for years and expect nothing to break. Now it’s time to pay up

Means a few things:

1. Time to be responsible when it comes to which models you use. You don’t need Fable 5 for GPT 5.5 Xhigh for everything. Build the skill of knowing when to use cheap models

2. Local LLMS/hardware will come even more in demand. I’m currently running GLM on my Mac Studio. It’s great. Is it Fable? No. But it gets the job done for free on simple tasks. Learn about local LLMs

3. This is the beginning of the wealth gap expansion. Those that can afford to spend $10,000 a month on Fable 5 will build incredible products that eat up more and more of the economy. Those that can’t afford Fable 5 will have an insane disadvantage

4. The government will need to step in eventually. There will be too much civil unrest. I hope the answer isn’t free money. That won’t do anything. I hope the answer is education/access to AI resources for ALL. Universal Basic Opportunity

5. You need to seriously reconsider where your money goes every month. If you are complaining about AI prices and in the back of your mind you know your skill set is becoming quickly irrelevant, all while spending money every month on Netflix, Xbox Live, Paramount +, drugs, DoorDash, Uber, and other things that bring nothing positive to your life, you are simply doing it wrong. AI is an investment in yourself. It’s an investment in your relevance to the global economy. You need to make sure you make that investment

The pieces on the board are quickly moving around. The rules are changing. The battlefield is shifting. If you’re not strategizing accordingly, you’re cooked.

[Tashfin Delwar 🇧🇩 @TashfinD]

@hqmank Mjp,

[Tashfin Delwar 🇧🇩 @TashfinD]

@hqmank It's currently we're going tooon

[WarMapper🇺🇸 @CKMapss]

🇷🇺🇺🇦Ukraine war update
- Komar front
- +4.47 sq miles to Ukraine
- Corrections have been made in favor of Ukraine, the AFU has pushed the Russians back from eastern bank of the Vovcha river with all of Andriivka- Klevtsove being under Ukrainian control, fighting for Zelenyi Hai, Tolstoi, and Piddubne continue

[Dan McAteer @daniel_mac8]

🤯 GPT-6 is going to be WILD.

"The proof came from an internal general purpose reasoning model. Not a system trained specifically for mathematics."

AI can create new knowledge, for real.

This is the intellectual equivalent of splitting the atom.

I can't believe we're alive to witness this.

[S M A Sithick @smasithick]

Google I/O 2026 felt like Google announcing 100 things in 2 hours 😭🤯

Here’s a simplified list of the MAJOR announcements from today so you can save/bookmark this thread 👇🏻

AI & Gemini
• Gemini 3.5 Flash
• Gemini Omni
• Gemini Spark
• Gemini app redesign
• Daily AI Briefings
• Agentic Gemini era
• Gemini Intelligence for Android
• Ask YouTube
• Docs Live
• AI-powered Chrome features

Search
• AI Mode upgrades
• Agentic Google Search
• Personalized AI Search
• Multimodal Search updates

Android & XR
• Android 17
• Wear OS 7
• Android XR updates
• Samsung + Gemini smart glasses
• XREAL Project Aura
• Warby Parker AI glasses
• Gentle Monster AI glasses

Creator & Media Tools
• Google Flow updates
• Flow Beta Android app
• Gemini Omni media generation
• AI filmmaking tools
• SynthID AI content detection

Shopping & Services
• Universal AI Shopping Cart
• Google AI Pro + YouTube Premium Lite bundle

Infrastructure
• 3.2 quadrillion tokens processed
• 375+ customers processing 1T+ tokens each
• Massive TPU & AI infra scaling

At this point, Google’s entire strategy can be summarized in 2 words:

“Gemini Everywhere.” 😂

Google's announcements centered heavily around Gemini AI, Android XR, Search, creator tools and AI infrastructure scale.

[Neuralink @neuralink]

We're building a surgical robot capable of reaching any brain region. The goal: a generalized neural interface to help solve any condition that originates in the brain.

[Genesis AI @gs_ai_]

We are back. After one year of quiet building.

Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.

For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans.

Solving it means rethinking the whole stack from the ground up:

- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.

GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.

Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)

We are approaching the endgame for robotics.

And this is just a beginning.

[Alexander Whedon @alex_whedon]

Introducing SubQ - a major breakthrough in LLM intelligence.

It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),

And the first frontier model with a 12 million token context window which is:

- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus

Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).

Only a small fraction actually matter.

@subquadratic finds and focuses only on the ones that do.

That's nearly 1,000x less compute and a new way for LLMs to scale.

[Ujjwal Chadha @ujjwalscript]

EVERYONE is cheering that AI can build a SaaS in 5 minutes. NOBODY realizes that just made SaaS completely worthless.

"Look! I built a CRM in 10 minutes!"
Cool. So did 500,000 other people this morning.

Here is what the tech world is completely missing right now: When the cost of creating what you built drops to zero, the value of the it itself also drops to near zero.

If your entire product is just a nice UI wrapped around a database, you don't have a business anymore. An AI agent can build a hyper-personalized version of your app for your customer, for free, in real-time.

So what actually survives the 2026 AI coding boom?

1. Physical World Integration

Code is infinite. The real world is messy. An AI cannot navigate local regulations, manage physical hardware, or convince local schools to onboard onto a sports ground booking system. Software that bridges the gap into physical, offline logistics is the ultimate un-hackable moat.

2. Proprietary Data Pipelines

If your app just calls the same OpenAI API as everyone else, you are dead. If your app sits on a mountain of exclusive, domain-specific data that the AI works on, you are invincible.

3. Human-Led "Partnered Execution"

As the internet fills with synthetic garbage and automated bots, trust becomes the most expensive currency on earth. Businesses built on genuine human expertise, high-stakes career strategy, and actual 1-on-1 execution will command a massive premium because they are the only things that can't be faked.

[Tashfin Delwar 🇧🇩 @TashfinD]

AI coding turned developers to artists.

[Tashfin Delwar 🇧🇩 @TashfinD]

@jack_9947 MARKETING

[Mario Nawfal @MarioNawfal]

🚨 X is lowkey becoming a full bank, and it’s actually insane.

3% cash back, 6% on savings (that’s 15x what your crusty bank gives), free transfers, and a clean metal card with your @ on it.

With 600 million users… this is about to cook the old financial system.

@X Money just changed the game.

@elonmusk

[Elias Al @iam_elias1]

The last time DeepSeek did this, NVIDIA lost $600 billion in market cap in a single day.

Yesterday, they did it again.

DeepSeek V4-Pro dropped without warning — 1.6 trillion parameters, 1 million token context, open source, MIT license, free to download and run. Within 0.2 percentage points of Claude Opus 4.6 on real-world coding. Better than Claude on three other benchmarks. Seven times cheaper than anything OpenAI or Anthropic charges.

Markets have already priced in the shock. Investors no longer panic when DeepSeek releases a model.

But they should.

Because this time it is not just competitive. It is better in some places. And it costs almost nothing.

Here is what DeepSeek V4-Pro actually does.

On SWE-bench Verified — the gold standard for real-world coding performance — V4-Pro scored 80.6%. Claude Opus 4.6, Anthropic's most powerful model, scored 80.8%. A gap of 0.2 percentage points. Functionally identical coding performance. From a model that costs 7 times less per token.

Claude charges $25 per million output tokens. DeepSeek V4-Pro charges $3.48.

Same results. Seven times cheaper.

On LiveCodeBench — competitive programming — DeepSeek scored 93.5%, beating Claude's 88.8%. On Terminal-Bench 2.0 — the hardest real-world a ngentic coding benchmark — DeepSeek scored 67.9%, beating Claude's 65.4%. On math and STEM reasoning, V4-Pro beats every open-source model in existence and rivals the best closed-source models from OpenAI and Google.

And it comes in two versions.

V4-Pro: 1.6 trillion total parameters, 49 billion activated per token. Maximum capability. World-class agentic coding. Open-source state-of-the-art.

V4-Flash: 284 billion parameters, 13 billion activated. Fast. Cheap. Still scores 79.0% on SWE-bench — within 1.6 points of Pro. For most real developer tasks, the difference is invisible.

Here is the engineering that makes this possible.

DeepSeek V4 uses a hybrid attention mechanism combining Compressed Sparse Attention and Heavily Compressed Attention. In the 1 million token setting, V4-Pro requires only 27% of single-token inference FLOPs and just 10% of the KV cache compared to its predecessor. Less compute. Better results. Longer context. At a fraction of the price.

Huawei confirmed its latest AI cluster — powered by its own Ascend processors — can fully support DeepSeek V4. China is running this model on domestic chips. No Nvidia required. The geopolitical implications of that alone are enormous.

Here is what V4-Pro does not beat. Because honesty matters.

On Humanity's Last Exam — the hardest cross-domain knowledge benchmark — V4-Pro scored 37.7%. Claude scored 40.0%. Gemini 3.1 Pro scored 44.4%. On factual recall, Gemini holds a clear edge. On the most complex mathematical reasoning, Claude and GPT-5.4 still pull ahead. For nuanced reasoning and enterprise reliability — the closed-source models still lead.

But here is the question every developer and every CTO is asking this morning.

If your coding benchmark performance is functionally identical to Claude Opus 4.6 — why are you paying seven times more?

DeepSeek's R1 shook the world by costing less than $6 million to build on restricted chips. V4-Pro will not crash NVIDIA's stock the way R1 did. Markets have adjusted. They have already accepted that Chinese AI is competitive and cheaper.

But the message is identical to 16 months ago.

A startup in Hangzhou, China — founded in 2023 — just released the most capable open-source AI model in the world.

For free.

Seven times cheaper than the American competition.

And nobody saw it coming. Again.

Source: DeepSeek · https://t.co/HBzd4TobKl · CNBC · https://t.co/20SFGGn1mo

[Vaibhav Sisinty @VaibhavSisinty]

okay this week was actually scary. 😨

I need to walk you through everything. ↓

→ Anthropic dropped Claude Design. describe what you want, it builds full websites, decks, and brand videos. Canva is in trouble.

→ Opus 4.7 is live. 3x better vision, one-third fewer errors. best coding model right now but might not stay there long.

→ Claude now runs tasks while your laptop is closed. they call it Routines.

→ OpenAI shipped the biggest Codex update ever. it controls your Mac, connects to 111 apps, and watches your workflow while you're away.

→ OpenAI built an AI for drug discovery called GPT Rosalind. spawns six AI agents in parallel. US companies only.

→ xAI dropped Grok voice APIs. same stack running inside Teslas. 10x cheaper than ElevenLabs.

→ xAI is building a desktop app that codes for you and controls your OS. Codex and Claude Code have competition now.

→ Google made NEET and JEE mock tests completely free on Gemini. coaching centers charge lakhs for this.

→ Google Flow Music lets you create full songs from a text prompt. music producers should be paying attention.

→ YouTube lets you insert yourself into any Short now. remix culture just got AI-powered.

→ Perplexity launched Personal Computer. runs on a Mac Mini 24/7 while you sleep.

→ Zuckerberg is building a photorealistic AI clone of himself to take meetings. not a joke.

→ a robot ran a half-marathon in 50 minutes. human world record is 57. last year robots took 2 hours 40 minutes.

→ Dario Amodei said 50% of entry-level jobs could be gone within 5 years. he's the one building it.

if you're not paying attention to AI right now, AI is still paying attention to you.