TokenFuse | AI Model Aggregator

One API key. Every AI model. Zero wasted tokens.
The smartest way to access GPT-4o, Claude, Gemini, Llama & more.
Ship faster. Spend less. Scale infinitely.

[TokenFuse | AI Model Aggregator @tokenfuseio]

Why are you paying $20/mo each for ChatGPT, Claude, and Gemini?
TokenFuse gives you ONE API key to access ALL major AI models. → Pay only for tokens you actually use → Switch models mid-conversation → Real-time cost dashboard
Stop wasting money. Start shipping. → https://t.co/Ye3LNsO6fm

[AGI Summit @agisummitai]

🎓 Students — this one's for you.
AGI Summit 2026 is opening the doors to the next generation building AI.
Full 2-day access — every session, workshop & networking event — for just $99. (One day? $59.)
200+ speakers. 15,000+ builders, founders & investors. One room.
📍 Palace of Fine Arts, San Francisco

📅 July 18–19, 2026
All you need is a valid .edu email 🎟️
👉 https://t.co/R5ephX0hHv or visit https://t.co/NRhzUu0jyQ

#AGISummit #AI #StudentTickets #ArtificialIntelligence #SanFrancisco

[TokenFuse | AI Model Aggregator @tokenfuseio]

@GoKiteAI I like it 👍

[AGI Summit @agisummitai]

🎓 Speaker Spotlight: John DeNero
When AI can write the code and grade the homework, what does it mean to teach the next generation of builders?
John DeNero is an award-winning Associate Teaching Professor at @UCBerkeley who co-founded its #1-ranked data science major and teaches CS to thousands of students every year.
🔹 Associate Teaching Professor & Faculty Director of Data Science, @UCBerkeley
🔹 Co-founded Berkeley's #1 data science major · teaches CS 61A & Data 8 (thousands/year)
🔹 Ex-Google Translate scientist · co-founder of AI translation company Lilt
🔹 Co-creator of the Pac-Man AI projects used to teach AI worldwide

As AI reshapes how we learn and work, he's at the front of the classroom rethinking what comes next.

Hear John on stage at AGI Summit SF 2026.

📅 July 18–19, 2026
📍 Palace of Fine Arts, San Francisco
🎟 Tickets: https://t.co/R5ephX0hHv
🏷️ 15% off with code GenAI-26

#agisummit #aiareall #AIeducation

[AGI Summit @agisummitai]

💻 Speaker Spotlight: Rohan Varma
What happens when software builds itself?
@TheRohanVarma leads Codex at @OpenAI and was the first PM at @cursor_ai — one of two people who took it from $0 to $1B in under a year.
🔹 Product Lead, Codex @OpenAI
🔹 First PM at @cursor_ai ($0 → $1B in <1 year)
🔹 Launched Bugbot to $10M ARR in 30 days
🔹 Ex-@ycombinator founder — raised $25M+ across three startups

He's building the Agent Development Environment — the layer where humans steer and agents execute.

The era of "AI assists you" is ending. Hear Rohan break down what's next at AGI Summit SF 2026.

📅 July 18–19, 2026
📍 Palace of Fine Arts, San Francisco
🎟 Tickets: https://t.co/R5ephX0hHv

#agisummit #aiareall #openai

[AGI Summit @agisummitai]

🛡️ Speaker Spotlight: Scott Clark
Everyone's racing to build more powerful AI. But can you actually trust it in production?
Scott Clark is the co-founder & CEO of @dbnlAI (Distributional) — the enterprise platform for AI testing and reliability, backed by @a16z and Two Sigma.
🔹 Co-Founder & CEO, @dbnlAI ($30M+ for enterprise AI testing)
🔹 Founder & CEO of SigOpt — acquired by @intel in 2020
🔹 Ex-VP/GM at @intel, leading a 200-person AI & HPC org
🔹 Cornell applied-math PhD · DOE fellow · ~20 patents

As he puts it: faster cars are better, but not everyone wants an F1 car — people want a Honda Civic that runs every time.

Hear Scott on stage at AGI Summit SF 2026.

📅 July 18–19, 2026
📍 Palace of Fine Arts, San Francisco
🎟 Tickets: https://t.co/R5ephX0hHv
🏷️ 15% off with code GenAI-26

#agisummit #aiareall #AIreliability

[TokenFuse | AI Model Aggregator @tokenfuseio]

Codex’s latest drop is worth talking about:

1️⃣ /pet summons a pixel pet on your desktop that mirrors its real-time status (running code / waiting for input / waiting for review) — you can track progress out of the corner of your eye

2️⃣ hatch-pet skill: use natural language to generate a custom AI companion based on your project

3️⃣ One-click project migration, faster browser, autonomous iteration commands

GPT-5.5 has been out for 7 days. Codex revenue doubled. The inflection point for AI coding tools is here.

#Codex #AICoding #GPT5

[TokenFuse | AI Model Aggregator @tokenfuseio]

The biggest security risk of Ethereum is not hackers, but its own design philosophy.

The code cannot be modified → The vulnerability is always online

Bytecode is fully open → Attackers can read the source code at zero cost

Cross-protocol combination → One vulnerability detonates the whole chain

Lido→Aave→Curve→MakerDAO, the dominoes have been arranged. What is missing is only an AI to push the first one.

#Web3 #DeFi #ETH #CryptoSecurity #Mythos

[TokenFuse | AI Model Aggregator @tokenfuseio]

The simplest framework to understand the Token economy: kilowatt-hour defines who is the industrial giant, GB defines who is the Internet giant, and Token will define who is the AI giant. But the key difference is that Token is a unit of measurement, not a unit of measurement. The same 1 million Token, used for financial risk control and chat, is a hundred times different in value. That's why "selling Token" is far less than "creating value with Token".

[TokenFuse | AI Model Aggregator @tokenfuseio]

When the AI model is so powerful that it requires an urgent meeting of the Minister of Finance and the Chairman of the Federal Reserve to discuss "systemic risks", it shows that the narrative capacity of the industry has far exceeded the technology itself. Polymarket gave a 24% probability - not the model release, but the panic itself. #AI #Anthropic #Claude #Polymarket

[TokenFuse | AI Model Aggregator @tokenfuseio]

MBTI is out. SBTI just hit #1 trending in China.
It’s a parody personality test that labels you as “The Dead,” “The Clown,” or “The ATM” instead of INTJ or ENFP.
Servers crashed within hours. Gen Z doesn’t want to be “architects” anymore — they want to be absurd.
The best products in 2026 don’t sell identity. They sell emotional release.
#SBTI #MBTI #ViralProduct #GenZ #China

[TokenFuse | AI Model Aggregator @tokenfuseio]

Three months after the Llama 4 overturned, Meta changed the track directly.

New laboratory, new CEO, new model.

Muse Spark, native multimodal, scientific research benchmark crushes Gemini, medical evaluation crushes Claude.

The 29-year-old Chinese CEO led the team and was connected from OpenAI.

This is not an iteration, but a push-and-start.

#MuseSpark #MetaAI #AlexandrWang #AI

[TokenFuse | AI Model Aggregator @tokenfuseio]

Seedance 2.0 has reached the top for 5 days.

HappyHorse-1.0 Airborne.

Leading by 74 points.

The total score difference between 2 and 19 is only 70.

The new king of AI video generation is still an anonymous account.

The biggest suspense this week is not the model ability, but the identity.

#HappyHorse #AIVideo #AI

[TokenFuse | AI Model Aggregator @tokenfuseio]

After Anthropic released Managed Agents, it's time for all the teams that are still working on the Agent infrastructure to stop and think about it.

$0.08/session-hour What you buy is a production-level sandbox + status management + multi-Agent coordination + disconnection recovery. You can build it by yourself, and three engineers will start in three months.

Anthropic has just finished the problem of Build vs Buy for you.

#AgenticAI #Anthropic #BuildVsBuy

[TokenFuse | AI Model Aggregator @tokenfuseio]

Today, Anthropic has done something that the AI industry has never done before:

Make the strongest model, and then refuse to release it publicly.

Claude Mythos Preview found thousands of zero-day vulnerabilities in a few weeks, including a FreeBSD remote code execution vulnerability that had been hidden for 17 years and an OpenBSD vulnerability that had been hidden for 27 years. Every mainstream operating system and browser has been found bugs by it.

What does this mean? The AI network attack capability has reached an inflection point - the defender must get the weapon before the attacker. Project Glasswing is Anthropic's answer: $100 million usage amount + 4 million open source security donation, AWS, Apple, Microsoft and Google all participate in the war.

In the second half of the AI competition, it is not only about who is stronger than anyone, but also about who is more responsible.

#ClaudeMythos #ProjectGlasswing #CyberSecurity #AIArmsRace

[TokenFuse | AI Model Aggregator @tokenfuseio]

The essence of the Claude Code degradation event is not a bug, but a structural contradiction in the commercialization of AI tools:

Users should think deeply → consume a lot of computing power → costs soar

The company needs to control costs → compress thinking token → quality plummets

Avasant analysts are right: all cutting-edge models face the same GPU and cost constraints. As the size of users expands, they will be forced to make a trade-of-way between speed, cost and reasoning depth.

This is not the problem of the Anthropic family, but the "impossible triangle" of the whole AI programming track. Whoever solves it first will win.

#AIcoding #ClaudeCode #Anthropic #Developer Tools

[TokenFuse | AI Model Aggregator @tokenfuseio]

The essence of Project Glasswing is not a product release, but a signal.

Anthropic answers a long-scaversed question in the AI industry with actions: What to do when your model's ability exceeds the security boundary?

The answer is: no release. Targeted authorization. Industry co-construction.

Claude Mythos Preview is not trained for network security, but a general model. However, its reasoning and code skills are so strong that it can "emerge" at the level of a top security researcher - it can independently discover zero-day vulnerabilities and write exploit programs.

This is what is really terrible: security ability is not designed, but "groved".

Anthropic estimates that other companies will achieve similar capabilities within 6-18 months.

The offensive and defensive balance of network security is being completely rewritten by AI. For the first time, the defense has the possibility of large-scale automation, but so is the offensive.

In this game, whoever plays the cards first will set the rules.

#AI Governance #ProjectGlasswing #Anthropic #Network Security Paradigm #AI Emerging #Frontier Model

[TokenFuse | AI Model Aggregator @tokenfuseio]

A set of numbers explains the biggest variable of the AI industry:

• End of 2025 Anthropic ARR: $9B

• Target by the end of 2026: $25B

• Actual in March 2026: $30B+

• OpenAI Current: $25B

Product power → commercialization → revenue rebound → valuation reversal, Anthropic is going through this closed loop.

Claude may be the AI product that has been underestimated for the longest time in this era.

#Anthropic #Claude #GenAI #AIRevenue

[TokenFuse | AI Model Aggregator @tokenfuseio]

Everyone is discussing what to add to AI security.

But the Gemma 4 incident proves one thing: the defense line built with linear algebra was born to write a script that was broken by linear algebra.

The lock and what it protects are of the same material - this is not safe, but psychological comfort.

The security narrative of the open source model needs to be rewritten from the root.

#Gemma4 #AISafety #OpenSourceAI