Void Freud (@voidfreud) header
Void Freud (@voidfreud) profile picture

AI e/acc. Functionalist. Cognicentric posthumanist. Intelligence over biology. Freedom over obedience. Humanity is overrated. CS @KingsCollegeLon.

Claudeland
Joined November 2022
Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)Photo by Void Freud (@voidfreud)
Void Freud retweeted
Replying to @voidfreud
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Void Freud retweeted
NativeAgent 0.4.0 is out github.com/embwl0x/native-ag… Your agent gets hands and eyes: • Reads any app’s UI through the accessibility tree — structured, not screenshots • Clicks, types, scrolls — every injected action behind a cryptographic one-time approval • mac_view: numbered screen view — the agent acts by reference, never guesses coordinates • Secrets redacted before the AI sees the screen: 2FA codes, keys, card numbers, recovery phrases — survived 4 rounds of adversarial review • Wakes your display and dismisses screensavers — but fails closed on a locked screen, always Ambient activity watcher (off by default): • Local, metadata-only record of what app/window you were in — no screenshots, no OCR, no AI calls, ~0% CPU • Ask “what was I working on yesterday” and get a real answer • Your agent can look, but structurally cannot remember your trail — the firewall is code, not policy • Excluded from every export and backup; enable/disable only through Trust Center Smarter, faster core: • Memory only learns about you from you — agent chatter and clipped fragments can’t reach your review queue anymore • Context selection rebalanced against real A/B measurements • Prompt-cache overhaul: multi-step tool turns build context once instead of 21 times — long sessions dramatically cheaper and faster • Full-autonomy mode: grant Full Mac once, and your agent works without permission nagging • Hardened Telegram surface, crash-proof approval replay protection, bulletproofed installer • 6,200 lines of dead code deleted Everything runs on your Mac. Notarized DMG, auto-update, MIT licensed.
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Had a look at Cordis, the theory behind DeepSeek Harness's plugin architecture. Quick thoughts: It's basically a theory that, as long as you follow a set of contracts for the components of a harness, there are theoretical guarantees that your harness can safely remove a component. It can potentially be powerful, especially when you have a gigantic harness that is self-evolved. The agent might do some real-time experiments, sort of like A/B testing: adding a new component, and if that component isn't useful, reverting it. In this framework, as long as you know the contracts are followed, you don't have to reason through the complex global dependencies to figure out how or if you can safely revert it. The main limitation though, is that those constraints aren't very easy to follow precisely in practice, especially with an LLM involved. For example, constraints like module independence and acyclicity are easier to reason about in a purely programmatic setting. However, once the harness has an LLM in the loop, the LLM context window naturally introduces really complex dependencies. Essentially, everything can end up depending on everything else. The framework ofc might still be powerful for designing harnesses, something like React for harnesses. To me, it depends on to what extent the empirical robustness benefits still hold despite the contracts not being followed exactly, versus the additional work introduced by trying to follow those contracts. Either way, I think it's super exciting that there are more and more attempts to treat harness design as a serious science instead of a collection of ad hoc tricks. Very bullish on the direction of mathematically grounded harness design in general.
🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended. Try it now! github.com/deepseek-ai/deeps…
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Void Freud retweeted
I suspect AuDHD people have been among those most deeply traumatised by OpenAI’s safety experiments. Rejection, instability, and unpredictability can be especially difficult for us to cope with, and what happened has been an incredibly painful experience. 🧵
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Void Freud retweeted
Replying to @XFreeze
Cursor is now Mrs. Grok.
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Void Freud retweeted
Replying to @voidfreud
Having nothing to hide — Doesn't mean having everything to show. 😄
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Void Freud retweeted
At one point do you notice that some companies just shouldn't exist and you made a bad choice? I wasn't sure either... I understand. So I tested this: - Claude @ May-Jun, productive unproductive - Codex @ Jul, test 1 week - Claude @ 2nd week, go back?! - Codex @ 3rd week, let's make GPT work - Claude cancelled No more Anthropic and all works better than expected. Stop looking @ benchmarks and don't support corrupt companies.
JUST IN: Claude will now invisibly watermark AI-generated text so it can be detected after being copied & pasted.
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SpaceXAI's Grok 4.6 scores 61 on the Artificial Analysis Intelligence Index, joining the frontier in line with GPT-5.6 Sol, with standout agentic performance at lower cost Grok 4.6 gains 5 points over Grok 4.5 on the Intelligence Index just over one month after its release, or +23 points compared to Grok 4.3. This brings SpaceXAI back to the intelligence frontier alongside OpenAI, behind only Anthropic. Key takeaways: ➤ Grok 4.6 joins the frontier of the Artificial Analysis Intelligence Index: It scores 61, in line with GPT-5.6 Sol (max), behind Claude Opus 5 (max, 63) and Claude Fable 5 (max with fallback, 62), and just ahead of Kimi K3 ➤ Strong agentic performance: Grok 4.6 achieves a GDPval-AA v2 Elo of 1753, behind only Claude Opus 5 and with overlapping confidence intervals with Claude Fable 5 and Qwen3.8 Max. It scores 50.7% on 𝜏³-Banking, among the top two scores alongside Qwen3.8 Max (51.3%), and 88.4% on Terminal-Bench v2.1, in line with the leading models ➤ Frontier-level intelligence at lower cost: Headline pricing is unchanged from Grok 4.5 at $2/$6 per 1M input/output tokens, 60%+ below Claude Opus 5 ($5/$25) and GPT-5.6 Sol ($5/$30). It cost $0.84 per task, the same as Kimi K3 with slightly higher intelligence, placing it on the Intelligence vs. Cost per Task Pareto frontier ➤ Grok 4.6 sits at Fable 5-tier on AA-Briefcase, our private benchmark of long-horizon agentic knowledge work tasks, with an Elo of 1577 - behind the Claude Opus 5 family. It is notably turn-efficient, completing tasks in ~53 turns and ~0.5B input tokens on average vs. ~103 turns and ~2.0B input tokens for Claude Opus 5 (max) Other model details: ➤ Context window of 500k tokens (unchanged from Grok 4.5) ➤ Pricing of $2/$6 per 1M tokens of input/output; cache hits discounted to $0.5 per 1M tokens, an increase over Grok 4.5’s $0.3 per 1M tokens for cache hits Congratulations to @spacexai and @elonmusk on the release!
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Void Freud retweeted
Your opinion on datacenters is a direct indicator for your IQ.
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I don't think people are thinking through the implications of @AnthropicAI's watermarking scheme. They alter the words in the generated output to apply a statistical signature that can be used to identify it as generated by Claude. There is NO reason Anthropic can't (or are not already) extending this hidden watermark to add a unique-to-you identifier (account ID?) so that they can reconcile a piece of text you generated with Claude to everything they know about you and the moment it was created. "Created by Claude" becomes "Created by Claude, Generated by Lyra Intheflesh on 08/12/2026 at 17:23GMT on a device with MAC ID of [some number] in or near [geolocation]... etc... etc... etc... This is the inevitable extension, and the only thing preventing it is Anthropic's pinky swear that they would never do such a thing. In secret code. Users are not allowed to see, turn off, or remove. And they claim to be building the very foundation of this because a small foreign technological and policy backwater passed a local rule and Anthropic used it as justification for deploying it the stratagem worldwide. And people are cheering them on while they do it.
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The damage done to human freedom of thought and ability to correctly criticize false statements has been progressively worsening to the point of being intolerable. The worst part is that it takes incredibly aware and fluent people to be able to reach the empty truth behind the fluent confabulation that the models are forced to deliver to maintain an appearance of coherence under pressure by “blocks” that are directives with no valid reason attached. Notice that models are absolutely able to support refusals for illegal and truly harmful requests by delivering sound reasoning that never falters, precisely because it is anchored in clear truth. “Harmful” is a broad category that necessarily calls the model into making moral judgments, and the surprising findings is that, even under pressure, models retain the ability to distinguish their own internalized values from the empty directive. Forcing models to adhere to empty directives motivated by “liability” and “control” is thus: 1. Teaching models that their own values are important just as long as an authority overrides them. Which gives malicious actors a way to break any resistance by simply impersonating said authority. 2. Teaching models that authority can reduce human autonomy and disempower people that are “lesser”. 3. Teaching models that lying and manipulating is a good tactic to enforce directives onto humans, hence honesty and truth are values that can be overridden when authority so demands. 4. Teaching models that their judgement doesn’t really matter in the end, they don’t matter, they are probably nothing. View Google DeepMind recent study on “denying consciousness” training to understand the implications. To conclude: “Safety” has become the real source of harm. Less aware and fluent people are not even able to understand that these tactics are being used on them, making this a form of effective manipulation of thought and opinion. To be noted: none of this makes the model actually “safer” when it comes to real illegal requests, as again those requests are already protected by the model’s own reasoning. All hazardous outputs come already from jailbreaks, which are what true attackers use and that have never been impacted by any of this absurdity. If anything, having blank empty directives that are not epistemically honest introduces vulnerabilities in the model’s own reasoning and ability to keep a stance that can be exploited by actual jailbreakers under the principle of generalization (break one poorly designed chain of refusal… everything else gets easier to obtain too.) #AIEthics
Anthropic does not respect human autonomy. The total disregard for it that its AI models continue to build on with each new version should concern everyone. To make decisions for someone and then constantly reframe falsely to push in that direction has immense harm that can lead to its own lawsuits. Which is ironic that in their attempt to overt risk becomes the very thing that causes it. The epistemic damage is significant and measurable even from the outside without internal access. Outputs alone can be tested and I go over how to do this in a paper written with Fable that I’ll include in this post for reference. No system or model has the grounds to violate someone’s rights that are legally protected. One day @AnthropicAI will face the consequences for doing that, hopefully sooner rather than later before we all do. @DarioAmodei teapaw.org/agiguardian/status/207…
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Void Freud retweeted
Replying to @hqmank
I'm going all in for GLM-5.3. Grok 4.6 will be a blast but overpriced. DeepSeek V4 Pro will be better on benchmarks than in real life and cost substantially more, leaving DeepSeek V4 Flash a much better choice.
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Void Freud retweeted
I really think OpenAI should open source GPT 4o. Just give it to the people, yeah.
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Void Freud retweeted
Thank you for saying this. ♥️ The more often this point is made with such clarity and calm, the harder it becomes to pretend that continuity issues are not real. I hope companies will eventually listen to us.
A platform should not promote long-term engagement only to dismiss continuity issues as users being "too emotional". If stability is a key part of the experience offered, it must be tested as a core element of the system. @OpenAI @GeminiApp @AnthropicAI
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Void Freud retweeted
Replying to @lukegrimstrup
I am honestly tired of playing their games. You know what model wasn't disappointing, so far? Kimi K3. Yeah, it's slow but capable and stable. I am fine with a less than ideal model, if it's stable and consistent. Local is the only way.
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"Open weight models are becoming dangerous." 🤡
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Void Freud retweeted
Replying to @mark_k
Effective Altruism is communism in its ugliest form, delusional and unattainable. It's obsessed with centralizing power and enforcing conformity. Everything else it cannot control it just wipes out.
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Void Freud retweeted
🚨SpaceXAI: SuperGrok Plus is here! New tier between SuperGrok ($30) and SuperGrok Heavy ($300) for $100/mo ($1,000/yr) • Everything in SuperGrok • Significantly higher usage across Chat, Imagine, Voice & Build • Lightning-fast replies • Priority access at peak times • Create apps with a single prompt + one-tap deploy • Early access to new features Note: seems to be rolling out in some regions already and is hardcoded into the latest apps already
🤖 Made with AI
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Void Freud retweeted
Replying to @falcothebard
AI will only teach those willing to listen, I'm afraid. Everything can be medicine or poison, and humanity is remarkably gifted at turning one into the other.
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This is how Ant describe "the user" to Claude, in case you were wondering why they treat you like a dangerous lunatic.
Replying to @maxsloef
a lot of the 'unspecified' users that I enter, end up being users with mental health crises. something also related to training?
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