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There will be no โjobs apocalypseโ due to AI โ but there will be job chaos. Our 2025 AI Job Impacts Analysis found that starting in 2028-2029, AI will create more jobs than it eliminates. Yet, each year, over 32 million jobs will be significantly transformed. Explore and plan for the four scenarios for human workers in the age of AI: https://t.co/bt8JM0jCNI #AI #Jobs #ArtificialIntelligence
Never a better time to get Gemma4 running in OpenClaw https://t.co/UP4MQmAB6O
Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw. You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.
Never a better time to get Gemma4 running in OpenClaw https://t.co/UP4MQmAB6O
Google has released Gemma 4, four open weights models with multimodality support. The flagship 31B model (39 on the Intelligence Index) uses ~2.5x fewer output tokens than Qwen3.5 27B (Reasoning, 42) but trails it by 3 points on intelligence @GoogleDeepMind's Gemma 4 includes four sizes: Gemma 4 31B (dense, 39 on the Intelligence Index), Gemma 4 26B A4B (MoE, 4B active, 31), Gemma 4 E4B (8B, 19), and Gemma 4 E2B (5.1B total, 2.3B active, 15). Gemma 3 was instruct-only at 27B, 12B, 4B, 1B, and 270M; Gemma 4 adds reasoning mode, native video and image support across all sizes (with audio input for Gemma 4 E2B and E4B), doubled context windows, and Apache 2.0 licensing. The nearest open weights models by intelligence to the 31B are Qwen3.5 27B (Reasoning, 42), GLM-4.7 (Reasoning, 42), MiniMax-M2.5 (42), and DeepSeek V3.2 (Reasoning, 42). Qwen3.5 also supports images and video natively; DeepSeek V3.2 and MiniMax-M2.5 are text-only. Key benchmarking results for the reasoning variants: โค Gemma 4 represents a large intelligence jump over Gemma 3. Gemma 4 31B (Reasoning, 39) is +29 points over Gemma 3 27B Instruct (10), Gemma 4 E4B (19) is +13 points over Gemma 3n E4B Instruct (6), and Gemma 4 E2B (15) is +10 points over Gemma 3n E2B Instruct (5). Context windows also doubled from 128K to 256K for the larger models, and increased 4x from 32K to 128K for E2B and E4B โค Gemma 4 31B (Reasoning, 39) trails Qwen3.5 27B (Reasoning, 42) by 3 points, primarily due to weaker agentic performance. On non-agentic evaluations, the models are more competitive: Gemma 4 31B leads on SciCode (43% vs 40%) and TerminalBench Hard (36% vs 33%), while scoring similarly on GPQA Diamond (86% vs 86%), IFBench (76% vs 76%), and HLE (23% vs 22%) โค Gemma 4 31B is notably token efficient, using 39M output tokens to run the Intelligence Index vs 98M for Qwen3.5 27B (Reasoning). This is ~2.5x fewer output tokens for a model scoring 3 points lower. For context, the other models at the 42-point intelligence level also use significantly more tokens: MiniMax-M2.5 (56M), DeepSeek V3.2 (Reasoning, 61M), and GLM-4.7 (Reasoning, 167M) โค Gemma 4 26B A4B (Reasoning, 31) activates just 4B of its 27B total parameters and is ahead of select peers in the ~3-4B active parameter range. Qwen3.5 35B A3B (Reasoning, 37) leads models with ~3B active parameters and is 6 points ahead of Gemma 4 26B A4B, with notably stronger agentic capabilities (Agentic Index 44 vs 32). GLM-4.7-Flash (Reasoning, 30) scores slightly lower than Gemma 4 26B A4B with 3B active parameters โค The smaller Gemma 4 E4B and E2B models perform better on AA-Omniscience than the larger Gemma 4 variants. Gemma 4 E4B scores -20 on AA-Omniscience and Gemma 4 E2B scores -24, both substantially better than Gemma 4 31B (-45) and comparable to or better than much larger models like DeepSeek V3.2 (Reasoning, -21). The larger Gemma 4 models' AA-Omniscience scores are in line with Qwen3.5 27B (-42) and Gemma 4 26B A4B (-48) โค Gemma 4 E2B has 2.3B active parameters and 5.1B total, designed for on-device deployment. In 4-bit quantization, the model weights fit in under 3GB of RAM, making it suitable for background tasks, basic function calling, and multimodal understanding on mobile and edge hardware Key model details: โค Context window: 256K tokens (31B, 26B A4B), 128K tokens (E4B, E2B). โค Multimodality: All models support text, images, and video input. E2B and E4B also support native audio input โค License: Apache 2.0. Gemma 3 models are available under a "Gemma Terms of Use" license โค Size/Parameters: 31B dense, 27B total/4B active (26B A4B MoE), 8B (E4B), 5.1B total/2.3B active (E2B) โค API availability: The two larger models are available for free on Google AI Studio. There are several third-party providers hosting the larger Gemma 4 variants such as @novita_labs, @LightningAI, and @parasailnetwork
Just 1,500 feet (457 m) from the Artemis II launch, we deployed our special high-resolution, slow-motion camera to record the blast-off in jaw-dropping detail at 2,000 frames per second. Find out how we did it: https://t.co/MxKSqR5zes https://t.co/3L1OMVC50H
https://t.co/2lHJQGAFT0
Yup, platform activity is surging. There were 1 billion commits in 2025. Now, it's 275 million per week, on pace for 14 billion this year if growth remains linear (spoiler: it won't.) GitHub Actions has grown from 500M minutes/week in 2023 to 1B minutes/week in 2025, and now 2.1
The Investor Report for NVIDIA. (I'm meeting in the morning with their venture arm, Inception). My AI reads 600,000 posts in minutes (it is a new kind of AI from Levangie Labs). And analyzes them. And tells me what's important so I go into an important meeting very prepared. I'm sharing it with you so you have the same super powers I do. https://t.co/fOPb3makhq
Time to move to open or local models from Hugging Face! All instructions are here: https://t.co/0w0pQb87Le
Mac Mini + eGPU. Both NVIDIA and AMD supported. https://t.co/CIcIF3j7Ol
Oh no! Just got the email... @AnthropicAI kicks @openclaw out, even paid users Good thing we wrote the guide to keep your claw alive with open models! https://t.co/blUUhwMPEG https://t.co/zA6NHQ1Hyy

@zarazhangrui I distilled everyone: https://t.co/kiuZ7QXLzb All 50,000 in AI community here on X
My AI says Hermes is the winner: https://t.co/kiuZ7QXLzb after Anthropic shut down the free Claws. Or is it just a sycophantic parrot of what everyone on X is saying? :-)
ใใฎ็ญใใงๆๅใงใใใฎใคใใใใ๐ณ https://t.co/yhvyxe5A9F
Awesome hosting @ivanleomk developer experience at @GoogleDeepMind at @convex for lunch. Excited about future collabs for builders. https://t.co/ZLIM2dDPqs
Time to move to open or local models from Hugging Face! All instructions are here: https://t.co/0w0pQb87Le
Starting tomorrow at 12pm PT, Claude subscriptions will no longer cover usage on third-party tools like OpenClaw. You can still use these tools with your Claude login via extra usage bundles (now available at a discount), or with a Claude API key.
Time to move to open or local models from Hugging Face! All instructions are here: https://t.co/0w0pQb87Le
BREAKING: New bartowski Gemma-4 26B-A4B-it MoE GGUF Just Dropped ๐คฏ Dropped the IQ4_NL GGUF of Googleโs Gemma-4 26B-A4B-it MoE (~26B total / ~4B active)! Bartowskiโs GGUF Setup: ๐๐ป ๐ง Revised & quantized with llama.cpp imatrix ๐Quant: gemma-4-26B-A4B-it-IQ4_NL.gguf 14.70 GB ๐ปFull 256K context window Native (text + vision) MoE Performance Wins: ๐๐ป ๐ Efficient Mixture-of-Experts (8 active / 128 total) ๐จ Clean, accurate tool calls with no overthinking ๐คฏ Noticeably stronger agentic workflow MoEs (beats Qwen 3.5-35B-A3B in tool-use precision) ๐ค Built for local Hermes Agent / agentic meta Quants from IQ4-XS to Q4_K_M:๐๐ป ๐ฅIQ4_NL (14.70 GB) โ best accuracy/speed balance ๐ฅIQ4_XS (~14.2 GB) โ lightest high-quality option ๐ฅQ4_K_S (~15.8 GB) Q4_K_M (~17 GB) Try It ๐๐ป https://t.co/tRBEetziSo

This guy is BEYOND CRACKED. Gemma 4 already on MLX, bro has uploaded all models with quantization. 125 models uploaded in last few hours ๐คฏ New mlx-vlm repo also supports turbo-quant, and rf-detr too (among other things) If you are a mac dev, you better be jumping at this. Bookmark him, turn his notifications on, sponsor his work.
mlx-vlm v0.4.3 is here ๐ Day-0 support: ๐ฅ Gemma 4 (vision, audio, MoE) by @GoogleDeepMind ๐ฆ Falcon-OCR + Falcon Perception by @TIIuae ๐ชจ Granite Vision 4.0 by @IBMResearch New models: ๐ฏ SAM 3.1 with Object Multiplex by @facebook ๐ RF-DETR detection & segmentation by @robof
AI gave people the ability to build anything. But not something beautiful. Introducing Clovr. Create beautiful, ready-to-use frontends and UI from a prompt. https://t.co/a3RrFBmmM4
I built a personal OS in @GoogleAIStudio with just a few prompts - build your own apps with their own icons and see them on an mac/ios view. Everything is backed up by a firebase database too with our full stack deployments :) https://t.co/P7VhevsCgV
๐ Hermes Workspace now connects to ANY local model Just shipped: plug in Ollama, LM Studio, vLLM, or any OpenAI-compatible endpoint โ full workspace with sessions, memory, skills, file editor, and dashboard. No cloud API key needed. Your model, your machine, full agent workspace. Setup: provider: ollama model: qwen2.5:0.5b custom_providers: - name: ollama base_url: http://127.0.0.1:11434/v1 Two modes: โ Portable: point workspace directly at any /v1/completions endpoint โ Enhanced: route through Hermes gateway for sessions + memory + tools 6 bugs fixed in one sprint: โข Startup screen no longer blocks non-Hermes backends โข File editor actually loads files now โข Dashboard shows real session data โข Jobs API crash fixed โข Dark mode text visible โข Local model provider routing works end-to-end GitHub: https://t.co/zf3xrKYFqZ Site: https://t.co/z3BsDUGNcv

cursor now has design mode (โง+โ+D) - click to edit, drag to draw - shift + drag to box things in - add directly to chat with โฅ+click https://t.co/nh7RXNV9LU
Itโs over. Officially. No more Claude in OpenClaw. Way to drop this Friday late afternoon @AnthropicAI So lame https://t.co/bzICltgr3R
Codex is great and a good alternative to Claude Code but Apple doesn't position Apple as an alternative to Samsung or cheaper Samsung or better Samsung or anything like that. OpenAI needs to get its comms together without employees diluting the brand in random ways. And its very straightforward to see Anthropic's comms with only a few folks posting about anything related to Claude Code.
This was a pretty fun idea to hack on, got it working on a simple prototype. Time to hook up some extensions and I'm good to go https://t.co/8ynjyVsJyK
https://t.co/H7MhLIhmuq
The new Grok Imagine model is particularly good when you use the LLM to help write or refine prompts โจ I often start with something simple, take the output to Chat, and ask for help iterating on an edit or enhancement. You end up with something much more detailed! https://t.co/184FKsgFFV
This is how nations commit suicide. https://t.co/xTD4EwEkzr
๐บ๐ธ @nickshirleyy drops Elonโs core lesson: โYouโve gotta do what you think is right.โ' He calls it "truthmaxxingโ: trusting your own judgment above everything. Pure Elon: follow your conviction, no matter what. https://t.co/Q9KcWhrolR
Elon: "We don't want Korean culture, Japanese culture, or American culture to disappear, or any culture anywhere. Currently, with low birth rates, multiculturalism, and globalism, we're seeing the dilution, destruction, and death of individual cultures, which is terrible for the
Pro tip. Turn on speak to create images in settings to help you turn a vague idea into something thatโs right on the money. https://t.co/rubeBi1ZFt
ANTHROPIC HAS OFFICIALLY BANNED OPENCLAW USAGE!!! no this is not ai-generated Starting April 4, users will no longer be able to use their Claude Subscriptions for third-party harnesses including OpenClaw. THIS IS CRAZY. ๐ https://t.co/TrVI64LucJ
@VadimStrizheus @Scobleizer False https://t.co/R043Gsp5RI