Anthropic's in trouble, again. The entire Claude experience is now available at 1/6th the price. Kimi now does everything Claude does, powered by K2.6, a 1-trillion-parameter MoE model that activates only 32B parameters per token. It covers all three features Claude has (Chat, Code, and Cowork): 1) Kimi Chat runs in four modes - Instant for fast responses - Thinking for deep reasoning - Agent for multi-step execution - and Agent Swarm for parallel workloads. There's a 262K context window across all of them. 2) Kimi Code is the open-source CLI coding agent with K2.6 as the default backend. K2.6 ranked #1 on OpenRouter's programming leaderboard by weekly usage. 3) Kimi Agent is the Cowork equivalent. It generates: - full websites with database and auth - presentation decks (editable PPTX output) - spreadsheets with formulas and charts - word docs and structured research reports. On top of this, Kimi K2.6 is also trained to decompose tasks into up to 300 parallel sub-agents. This helps it retain coherence even across 4,000+ tool calls in a single run, with sessions sustaining up to 13 hours. On SWE-Bench Pro: - Kimi K2.6 → 58.6 - GPT-5.4 xhigh → 57.7 - Gemini 3.1 Pro → 54.2 - Claude Opus 4.6 → 53.4 Kimi K2.6 model is open weights and self-hostable on 4x H100s in INT4. Find the link to the HuggingFace model page in the replies!

I feel LIMITLESS after reading the latest edition of @jimkwik book. https://t.co/NIyR0zEmmN

I feel LIMITLESS after reading the latest edition of @jimkwik book. https://t.co/NIyR0zEmmN

Blueprint and @playvs are proving EQ and esports belong together. 250,000 students across the US and Canada. One performance upgrade. Turning Limitations into Superpowers with @jimkwik is free for all PlayVS schools. 🎮 https://t.co/Rz7mjZQAfa

BREAKING: @Anthropic just published research on which jobs its own AI is disrupting. The company used Claude's actual usage data to measure real-world displacement risk across 800 U.S. occupations. Here's what the data shows. The top 10 most exposed occupations: 1. Computer Programmers (75% of tasks covered by AI) 2. Customer Service Representatives 3. Data Entry Keyers (67%) 4. Editors 5. Administrative Assistants 6. Accountants 7. Technical Writers 8. Paralegals 9. Market Research Analysts 10. Web Developers The workers most at risk are not who you'd expect. The most exposed group earns 47% more than the least exposed. They are 16 percentage points more likely to be female, significantly more likely to hold a graduate degree, and tend to be older. This is not a blue-collar disruption. It's a white-collar one. AI is still far from reaching its theoretical ceiling. In Computer and Math occupations, 94% of tasks are theoretically automatable by an LLM. Only 33% are actually being automated. The gap between what AI can do and what it is doing is enormous, and it is closing. 30% of U.S. workers have zero AI exposure. Their jobs don't appear in Claude's usage data at all. This includes cooks, motorcycle mechanics, lifeguards, bartenders, and dishwashers. Physical work remains untouched. The most striking finding: there is no systematic increase in unemployment for highly exposed workers since ChatGPT launched. Not yet. But hiring of younger workers in exposed occupations has slowed. Companies are not firing. They are simply not replacing. For every 10 percentage point increase in AI task coverage, the Bureau of Labor Statistics projects job growth drops by 0.6 percentage points through 2034. The BLS is already baking AI displacement into its forecasts. Anthropic says it plans to revisit this analysis regularly. The company is building the framework now, before mass displacement becomes visible, so that when it does, the data is already in place. This is the first time a major AI lab has published granular, usage-based evidence of which jobs its own technology is replacing.

NYT: "Silicon Valley Is Bracing for a Permanent Underclass" by @jasminewsun (link in the reply) "Most people I know in the #AI industry think the median person is screwed, and they have no idea what to do about it." There's a book about this! New edition covering the job market and economic implications of the latest advances in #AI available on June 2. #RiseoftheRobots

Most people I know in AI think the median person is screwed, and they have no idea what to do about it. I spent the last 3 months talking to dozens of researchers, economists, and policy experts about AI's impact on work; including reps from every frontier lab and several Congressional offices. Unfortunately, I was not reassured. The AI industry is raising the alarm, but can't change course. These companies' core business model relies on the disruption they are warning about: their faith in full automation only makes them go faster. Policymakers are waking up, but still paralyzed by data and debates. Econ wonks disagree on plenty, but even the limited scenario looks like a "painful transition" that will disempower millions of workers. But an "underclass" is not inevitable, but rather a societal choice — and one we can and should stop. Instead of waiting for impact, we should start planning now to support workers through AI disruption. Whether policymakers can assuage concerns about economic security may determine if we get to reap AI's gains at all. New from me for @NYTOpinion. I put a ton into researching what I think may be the biggest topic of the year, so hope you read it (gift link here!) https://t.co/NiGJpjyjzH

#AI emerges as a top cause of layoffs, accounting for 26% of April's job cuts - CBS News #RiseoftheRobots https://t.co/syZP9KAVE6

Excited to receive the first copies of the new edition of "Rise of the Robots: Technology and the Threat of a Jobless Future." Available on June 2. I have extensively updated the book to cover the latest advances in generative #AI and robotics and to examine the future economic and job market implications of the unfolding AI disruption. The book focuses on what we can do as individuals, and as a society, to successfully navigate the looming transition into the age of AI. Pre-order from the link in the reply. @BasicBooks #RiseoftheRobots

Excited to share our new work from Meta MSL 🔥 LLMs write great Python/C++ but struggle with uncommon languages. Data scarcity is the bottleneck ⌛ Can we leverage cross-PL transfer to overcome this? Yes ✅ A new method to unlock cross-PL transfer 🧵 https://t.co/8EK05gMgCl https://t.co/DFlRLyuzaP

Announcing Talkie: a new, open-weight historical LLM! We trained and finetuned a 13B model on a newly-curated dataset of only pre-1930 data. Try it below! with @AlecRad and @status_effects 🧵 https://t.co/kThUESG13e

One of the things that made the Mythos release hard to interpret is that Anthropic held back details on most vulns they found, to give defenders time to patch. 1 month later, info from orgs with access to Mythos is starting to trickle out, e.g. this post from Mozilla today: https://t.co/CGntwyEniK

We trained an LLM trained on an LLM trained on a…🌀🌀🌀 If the original model is sycophantic or just 'weird', will those traits begin to amplify? Yes! But amplification is rare and typically comes at the cost of coherence—except in the case of DPO where things get dicey 🧵 https://t.co/Ax7yjt0LaX

Organize garments in the closet, including dresses that have been thoroughly wrung out. https://t.co/nLYNk8Z7K9

The @contra team published compelling research that disproves all of the AI doommaxxing being sold to creatives. Artists are making more art, earning more money, and staying independent. I’d argue the Creator Economy is stronger now than it was 5 years ago when the whole economy was dependent on Patreon.

Amazon suggesting a shirt that actually slaps. https://t.co/pl8qMemAjY

Even if you didn't get tickets to the sold out Bay Area premiere of I Love Boosters at Grand Lake Theater this Tuesday, April 28th- You can still come parry with us afterward at Crybaby!!! This is a real party. Not just networking. DJ Daghe is doing the music, so u know wsup. https://t.co/0zUzQlBSic

@vivianisvulgar Time for a reboot https://t.co/q2MVqPyJgt

@luci_holland One of my favorite history books written in the last 5 years It argues textiles are a foundational technology that shaped human history, driving innovation in science, economics, and culture https://t.co/hSLTEiuJv7

A study in April of this year found the jobs most at risk of being replaced by AI are bill collectors & telemarketers. https://t.co/oRaKQ5LTNS

Goldman Sachs has released a shocking report summarizing the job types that AI will take over. It states that AI has the potential to automate the work equivalent to 300 million people worldwide. Those particularly affected are knowledge workers, with ・Administrative and support: 46% ・Legal: 44% ・Architecture and engineering: 37% On the other hand, the impact on physical labor such as construction and maintenance is less than 6%. The result is that AI will first replace knowledge workers.

And that's how it all begins. https://t.co/GnYUZELuNa

And that's how it all begins. https://t.co/GnYUZELuNa

These are the moments that brought us to where we are. Watch new episodes of THE TESTAMENTS Wednesdays and stream THE HANDMAID'S TALE on Hulu. https://t.co/yRKOfbtPe2

The new DeepSeek-V4, like DeepSeek-V3, uses concepts from our 2024 paper on Self-Rewarding LMs -- see screenshots of their tech reports! (Congrats!) Classical :) Self-Rewarding LMs from Jan 2024: https://t.co/YZRuFphh0H https://t.co/KFfSNgbOLk

Fun fact - if you have a recent commit that mentions OpenClaw in a json blob, Claude Code will either refuse your request or bill you extra money. This is an empty repo, I'm just calling Claude Code directly. Insanity. https://t.co/JKthsztu1X

I am obsessed with this Japanese man using AI video to put himself into movies (he's on IG at @ai_am_furufuru) https://t.co/ePeVPkpEG4

Excited to introduce Gemma 4 Multi-Token Prediction Drafters⚡️Accelerated inference right in your pockets - Up to a 3x speedup - Same quality guarantees - Available in your favorite open-source tools https://t.co/x6WRgO4n9G

TIL that TeX versioning is based on successive approximation of pi, to showcase it approaching perfection... Currently it's on version: 3.141592653 Donald Knuth, the inventor of TeX, has stated that the "absolutely final change (to be made after my death)" will be to change the version number to π, at which point all remaining "bugs" will become "features" Pretty creative! (h/t @davidad)

AMD launches MI350P, its first PCIe "Instinct" in four years – packs CDNA 4 GPU with 4.6 PFLOPs AI compute, 144 GB HBM3E at 600W. https://t.co/uLAh7eokph

'I Am Your Father,' Reveals Trump To Horrified Mark Hamill https://t.co/jPM26ZxAYd https://t.co/UlvMcyvlSU

“Sparser, Faster, Lighter Transformer Language Models” LLMs are naturally sparse in their feedforward layers, but unstructured sparsity usually doesn’t get you real speed on GPUs, because the hardware stack is built for dense compute. The key idea of the paper is to redesign the sparse format and kernels around GPU execution, so FFN sparsity becomes practical instead of theoretical. With mild L1 regularization, this paper got >99% sparsity with little quality loss, and with gains in speed, memory, and energy.