Byakatonda Marvin

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Byakatonda Marvin

Byakatonda Marvin

@Marvinma12

AI & Robotics rapid transformation and real world use cases

Kampala, Uganda Katılım Ocak 2012
978 Takip Edilen195 Takipçiler
Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@FIFAWorldCup Incredible tournament Kylian Mbappé’s 2025/26 goals: La Liga — 25 Champions League — 15 Copa del Rey — 2 Spanish Super Cup — 0 World Cup qualifiers — 5 International friendlies — 1 FIFA World Cup — 10 Real Madrid: 42 France: 16 Total: 58 goals. 🔥
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@FabrizioRomano Kylian Mbappé’s 2025/26 goals: La Liga — 25 Champions League — 15 Copa del Rey — 2 Spanish Super Cup — 0 World Cup qualifiers — 5 International friendlies — 1 FIFA World Cup — 10 Real Madrid: 42 France: 16 Total: 58 goals. 🔥
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Fabrizio Romano
Fabrizio Romano@FabrizioRomano·
👟👟👟 Kylian Mbappé, season 2025/26. 🇪🇸 La Liga golden boot. 🌎 World Cup golden boot. 🏆 Champions League golden boot.
Fabrizio Romano tweet media
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
The Liberman brothers say several major companies are already moving call-center work to AI. Things are changing fast
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
AI infrastructure demand isn’t waiting for supply. Cerebras co-founder and CEO Andrew Feldman says demand is already outrunning the industry’s ability to build data centers and fill them with hardware, leaving Cerebras with a $25 billion backlog
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@PeterDiamandis Have questions on the timeliness on fusion energy, interstellar travel to eg optima centuri, when we shall have robots eg. Optimus walking the mars surface
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
This week my Mates and I are interviewing NASA Administrator Jared Issacman on the MOONSHOTS Podcast. What questions do you have for the Administrator?
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David Sacks
David Sacks@DavidSacks·
Here’s another example: Hugging Face tried using American frontier models to analyze an AI-powered cyber attack. But the guardrails blocked requests containing real exploit payloads so they switched to GLM 5.2 running locally. The guardrails actually impaired defensive security.
clem 🤗@ClementDelangue

@DavidSacks We had this experience ourselves this week! Very scary to be guardrailed as a defender when you know attackers are likely bypassing

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David Sacks
David Sacks@DavidSacks·
Kimi K3 just fixed 15 critical security bugs that Codex and Fable refused because of “cyber guardrails.” There’s no reason to limit American models on tasks that Chinese models handle without issue. We’re only making ourselves less competitive.
calle@callebtc

I have a report full of security issues of a software I'm working on. Codex won't fix them because of Cyber guardrails Fable won't fix them because of Cyber guardrails Kimi K3 fixed them all. No restrictions, just gets the job done. This will end badly for OpenAI & Anthropic.

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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@thsottiaux I uses chatgpt to check some mechanical system errors on my car. It was pretty fast in resolving the issue by suggesting precise steps to resolve the error
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Tibo
Tibo@thsottiaux·
I was so inspired reading all the DMs on how folks here use ChatGPT Work. Let’s try something else that will make the team smile. What’s a time you saw ChatGPT have a deeply positive impact on your or someone’s life?
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
Boris Cherny says 100% of his own code is now written by Claude Code
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@FIFAWorldCup Congratulations to Spain, football has won big, they didn't give Argentina a chance to rob them in anyway.
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@AlexFinn Sorry how is it better that GPT-5.6, have you got some bench marks to compare, is it a gut feeling or did you mean 5.5. Please clarify this as this information isn't readily available to most of us
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Alex Finn
Alex Finn@AlexFinn·
We live in a new world. Open source has officially caught up to frontier Qwen 3.8 is out, and it’s better than ChatGPT 5.6 6 months ago I told you to start buying hardware. Prices would explode and open source was going to catch up Both happened. Anthropic and OpenAI are now in big trouble If individuals and companies can use 10% worse intelligence at 80% lower prices, they’re going to drop the OpenAI and Anthropic subscriptions If these 2 companies fail and Chinese AI takes over, America will be in awful shape in the global tech and economic battlefield It appears there is absolutely no way to stop Chinese companies from distilling American intelligence. If there was a way, they would have figured it out by now I don’t know where things go from here. I don’t know if Anthropic and OpenAI get nationalized. But I also don’t know how you beat a country that is subsidizing their entire AI industry that allows them to run at a loss. Whatever happens, the next couple of years will be the most thrilling of our lives
Qwen@Alibaba_Qwen

Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! 🚀  Token Plan international:qwencloud.com/pricing/token-… China:platform.qianwenai.com/pricing/token-…

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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@mark_k Man these Chinese labs have cooked, all those that were pushing for regulatory capture are going to loose soon. Its the consumers that will be the real winners
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
Dario Amodei explains Software Moats AI Will Erase
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@DavidSacks Straight away pushing for regulatory capture, am glad that you see through these David.
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David Sacks
David Sacks@DavidSacks·
I’m not sure whether Dean Ball is confessing to a regulatory capture strategy or simply predicting this will happen (he now says the latter). Either way, the weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable. He argues there’s no need to ban Chinese open-source models — just direct agencies to issue soft-law warnings that create enough FUD so regulated enterprises back off. “It needn’t be that well justified.” Wrong. Regulatory decisions should always be well justified and grounded in facts, logic, and evidence, not the deliberate exploitation of fear and uncertainty. Implementing a surreptitious policy through manufactured doubt — rather than strong and explicit justification — corrodes the rule of law and invites future abuse against anyone. We are at a critical inflection point in AI policy. The leading closed labs, already a duopoly in terms of AI model revenue, want the government to eliminate their open source competition. They have laid their cards on the table. It is time for the rest of Silicon Valley — the vast majority that still values open competition — to do the same.
David Sacks tweet media
Dean W. Ball@deanwball

Some observations on Kimi: 1. It's a very good model! I don't think its performance can be explained away by distillation or anything like that. In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026. In my fairly limited use, it also seemed very token hungry. It's not obvious to me that this model is actually that cheap to run. 2. I am personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks. To be clear, I *myself* might be fine with models presenting this level of marginal risk being open weight, but I am surprised that China is fine with it. I suspect the reason they are is 75% explained by strategic blindness/lack of AGI-pilledness (the CCP is very Yann Lecun-y in its views of AI). The other 25% or so is their lack of compute for customer inference (making China's open-weight strategy an unintended byproduct of US export controls) and the normal Chinese strategy of aggressive exports. For the companies, as opposed to the government, the decision to open source is partially ideological and partially because they are behind, and they know that very few people would pay for sub-frontier models from China. 3. Open-weight models are inherently decelerationist, and I'm continually surprised to see the so-called "accelerationists" so excited about open-weight models. I suspect the reason they are is that they know open-weight models are effectively ungovernable, and they simply like the overall cloak of ungovernability open-weight models create over the whole of AI. It's not a bad strategy; it reminds me of James Scott's recounting of the hill people in "the art of not being governed." Still, in the end, open-weight models deter further AI capex. 4. One probable outcome of an open-weight-model-dominant world is full AI communism, which is precisely what China proposes: rather than a market product, AI is a "public good" which will ultimately be provided by the state as a kind of "digital public infrastructure." This future strikes me as a dystopian hellscape, but I've never met an open-weight models advocate who doesn't ultimately concede this is where things end. You'd be surprised how many 'accelerationists' lobbied me, while I was in government, to support an eleven or twelve-figure federally funded data center so that startups could train models at a subsidy and then give them away for free. There was no other way for AI to progress, they said. Perhaps this is the logical end state of things. Nonetheless, I find myself surprised to see supposed accelerationists excited about such an outcome. I think many of them just don't know what they're doing. Many accelerationists do not view the creation and serving of frontier models as a legitimate business. 5. I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don't need to "ban open source" (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. "A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models." It needn't be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There's a happy middle ground here. I'd assume they will do some version of this. 6. It's probably true that open-weight models of this capability make the world a bit more dangerous, but not so much more that you'll really notice. At some point the models will be capable enough that you will notice. "A nonliving, invisible, dangerous, and infinitely self-replicating agent escaped from a Chinese lab," you say? Color me shocked.

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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
OpenAI's Noam Brown says modern models can reason productively for weeks when properly scaffolded
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@chamath I think what the EU is doing may be more of shooting its self in the foot. It may not achieve its over arching goal and yet may scare away frontier labs from being based in one of its member states. I think they may need to revise this before it comes in force
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Chamath Palihapitiya
On August 2 the EU's AI Act may begin enforcing its transparency rules, with fines reaching three percent of global revenue for the model providers and application developers who cannot show how their systems were built and trained and don’t properly disclose where AI exists. AI used in hiring, lending, medical diagnosis, law enforcement, education, or critical infrastructure faces strict requirements. The reflexive reaction could be that AI may be too risky for regulated industries. But that would be backwards. What a regulator needs is a record: which requirement a system satisfies, what has changed, when and what test proves it still holds. An old, legacy system written years ago by contractors who have since moved on cannot produce that record at all. Most companies are already running this way. But software built today - like through our Software Factory - can generate that trail as it works, and can then hand over records and audit trails on demand. The opportunity now is to use AI to rebuild all of the old, dysfunctional software that exists in companies around the world into systems that are much cheaper, simpler and that you can actually audit. Learn more here: 8090.ai
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
With Claude Mythos, they found vulnerabilities in 6 weeks what would have take 7 years.
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@mark_k Indeed, its one big model release after the other, and two open source labs have models larger than 2 trillion
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Byakatonda Marvin
Byakatonda Marvin@Marvinma12·
@Alibaba_Qwen The release of this model is more like China vs China in open-source, no other country comes close, now GLM will be next after Kimi and Qwen releases in a single week.
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Qwen
Qwen@Alibaba_Qwen·
Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! 🚀  Token Plan international:qwencloud.com/pricing/token-… China:platform.qianwenai.com/pricing/token-…
Qwen tweet media
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