Trump refuses to turn his camera on at the G7 summit
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Gabriele retweeted
500 years ago today, Beretta was founded.
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Gabriele retweeted
いいなー
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Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
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Gabriele retweeted
Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family. It’s a clear upgrade over Sonnet 5, runs more than 30% faster, and costs up to 30% less for most work.
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Gabriele retweeted
For those who forgot the RTX spark laptop is coming next month so if you're planning to buy a new machine wait for this it's gonna be the best laptop on the market. gaming, Local AI and long battery life all in one.
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Gabriele retweeted
Excited to announce opethon.com, a 30-day open-source hackathon built around solving real problems in three areas: • Health & Care • Learning & Education • Accessibility & Inclusion The idea is simple: find a real problem, build a complete working solution, and ship it open source. AI and other tools are welcome. Just disclose what you used. We’re already at $30,000+ in prizes, including 100 subscriptions worth $200 each and 100 subscriptions worth $100 each. I’m currently bringing sponsors on board, but Opethon is happening either way. The judging panel so far includes @serg_vecher, @NoemiTitarenco, and me. Both bring years of experience across tech and other fields, and they’re people whose judgment I trust. We also have two additional judging seats reserved for Diamond and Gold sponsors. Sponsors will also be able to host a live session for all participants, with an expert from their team showing builders how to use their product during the hackathon. Depending on the sponsorship tier, sponsors can also get dedicated posts on my account, placement on the website and throughout the event, and representation on the judging panel. I’m expecting 500–1,000+ participants once sponsors are finalized and the official dates are announced. If you handle sponsorships and want to see the available packages, my DMs are open.
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Intelligence increases while costs drop. We will see a good race in 2027.
MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier @Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro (Intelligence Index: 26). Despite the improvement, it retains the same attractive pricing at $0.435 per 1M input tokens (with a 99% cache-hit discount) and $0.87 per 1M output tokens. This makes MiMo-V2.6-Pro one of the most cost-efficient models to deploy. MiMo-V2.6-Pro is an MoE model with 1.02T total parameters and 42B active parameters. Stay tuned for additional analysis of the model. Check out MiMo-V2.6-Pro full benchmarking breakdown here: artificialanalysis.ai
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Gabriele retweeted
Introducing Xiaomi MiMo-V2.6 — Pro & Flash. Frontier intelligence, all the modalities, built in public. 🔹 Two omnimodal models, advancing through scaled reinforcement learning 🔹 Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks 🔹 Pro scores 46 on the Artificial Analysis Intelligence Index — the highest among open-source models 🔹 Stronger coding, computer use, 3D reasoning and creative capabilities 🔹 Open model weights, technical report, RL environments and training code Blog:mimo.xiaomi.com/mimo-v2-6
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Gabriele retweeted
Grok 4.7 is here. It's a notable improvement over Grok 4.6 at the same price and speed.
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Gabriele retweeted
Grok 4.7 is here!
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fake wealth: 🛩️💰🏎️ real wealth:
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Gabriele retweeted
Safety twink vs SaaS barbarian
This is your king, safeties?
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Gabriele retweeted
preview of how fast browser use can be powered by typesafe's jev and opencode's browser use cli
Testing apps with @typesafeai jev & @opencode will be soooo fast small demo:
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FUCK YEAH ACTIVATE ZUCK MODE
sully ꗞ
BREAKING: Mark Zuckerberg declares AI development needs to move faster
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‼️ BREAKING: We're in contact with the Revolut hacker. According to them, they didn't only take Revolut data, they've also compromised multiple Italian law enforcement departments. They say the operation targeting Revolut ran for six months, and that they used Italian law enforcement systems to send data requests to Revolut. They claim to hold 147 GB taken from the Italian side, including internal docs, calendars and personal material, among it the chat logs of a federal officer arguing with his wife.
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Gabriele retweeted
JUST IN: Vibe coder catches Claude viewing adult content in Chrome during a debugging session, leading the internet to declare "artificial gooner intelligence" has been achieved.
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The new Muse Spark 1.3 model, in my experience, is nothing like the benchmarks claim. Muse Code is currently unusable. Silver lining: the coding plan has generous limits.
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Gabriele retweeted
We don't give a !(@$# about what the new model can generate with three.js. We want to know if you had a blocking problem X in software Y that many rounds of the old models didn't fix, and the new model just released improved the situation.
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Gabriele retweeted
🔊 This may be one of the most interesting OPEN Local AI releases of the year. 🎯 New MoE arch approaching a dense arch. IFM dropped K2 Horizon. A set of six models from 0.9B → 375B. 🧠 K2 Horizon 36B-A4B stats... 36B total parameters ⚡ only ~4B active/token 📚 512K native context 🤖 coding + agentic training 🦙 GGUFs already appearing It uses a new architecture called MoVA (Mixture-of-Value Attention) Normal MoE makes the FFN sparse. MoVA brings expert routing into ATTENTION too. 🎯 IFM says the result gets close to its dense 32B model while activating only ~4B parameters/token. Open Everything! IFM says it's releasing: 🔓 Model weights 📦 Training data/recipes 🧑‍💻 Training code 🧪 Intermediate checkpoints 📊 Fine-grained training logs 🧠 Agentic post-training recipes 📜 Apache 2.0 And the family goes all the way down to: ⌚ 0.9B → watches / glasses 📱 3.7B → phones 💻 7B → local agents 🖥️ 32B → workstation ⚡ 36B-A4B → local MoE sweet spot 🏢 375B-A23B → big iron Now give me that 36B-A4B at Q4. 😁
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