Mehdi

SWE | AI Agents and Harnesses | Architecture 👨‍💻

[Mehdi @BenfredjMehdi]

@FishAudio Fish

[Fish Audio @FishAudio]

Today we’ve raised $52M Seed and we are announcing the public launch of S2.1 Pro.

>It can clone a voice from 5 seconds of audio
>2x faster than Cartesia & 1/6th the cost of Eleven Labs
>most expressive model with word level control over emotion, intonation, pacing etc

We support frontier AI companies including HeyGen, LiveKit, Retell, Sanas, and OpenArt all run our model in production.

If you're a business and we can't cut your voice AI costs by 50%, we'll give you 1 year of Fish Audio for free.
Book a demo: https://t.co/vHkyZf9JoG

To celebrate our first birthday, we'll give you 1 month of S2.1 Pro for free. Like, retweet, and comment “Fish” to get it.

[Mehdi @BenfredjMehdi]

@ironsoll @ml_angelopoulos Try it yourself

[Mehdi @BenfredjMehdi]

@3xchamp_ @lnstantFoot Fallait voir la fin du match ! C’etait top

[Mehdi @BenfredjMehdi]

Intelligence is universal, and thus should be open!

[Anthropic @AnthropicAI]

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.

The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.

Access to all other Claude models is not affected.

We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.

Read our full statement: https://t.co/bwn0sximKZ

[Andrew Ng @AndrewYNg]

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations.

The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below.

The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs.

However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality.

Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on.

What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities.

[Original text: The Batch newsletter]

[Mitchell Hashimoto @mitchellh]

I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem.

As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)!

I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work.

It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results?

88ms => 1.5ms
150K allocs => ~500 allocs

Incredible right? Nope.

My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path.

This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput.

The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity.

Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.

[Mehdi @BenfredjMehdi]

@jarredsumner Adversarial agent reviews seem great!
Thanks for sharing. Quick question, how does it feel working on a “new” code base now?

[Mehdi @BenfredjMehdi]

@elonmusk BS

[Mehdi @BenfredjMehdi]

@abhitwt @VibhuRevadi Raycast,
Claude Code,
VSCode/Cursor,
Brave,
Obsidian,
Proton VPN & Pass

[Mehdi @BenfredjMehdi]

@crashcampbell84 @PeterDiamandis There no such thing in NORTH africa. Educate yourself

[Mehdi @BenfredjMehdi]

@Sanyelg13 Avec leurs coupes de clochards 😅

[Mehdi @BenfredjMehdi]

@AfricaViewFacts Que des marocains haineux 😅 le seum

[Mehdi @BenfredjMehdi]

@NeoMas12 @c_algerie_libre @franceinfo @othmannasrou Tu sais pas lire un graphique ou tu fais juste semblant d’être bête ?

[Mehdi @BenfredjMehdi]

@Moe__Syzlak @DjadNor Ça

[Mehdi @BenfredjMehdi]

@Moe__Syzlak @DjadNor Pourquoi vous demandez pas au régime du makhzen 🇲🇦 de reprendre les OQTF violents en France 🇫🇷 ?

[Mehdi @BenfredjMehdi]

@avriogata Chaine de propagande 🤮

[Mehdi @BenfredjMehdi]

@cartesien_ @khaleddrareni Contrairement à votre zriba, on a obtenu notre indépendance avec le sang et l’honneur. Pas avec les accords d’Aix les bains 😅

[Mehdi @BenfredjMehdi]

@bayrou Shut up idiot

[Mehdi @BenfredjMehdi]

@rasavocat @CerfiaFR Les accords d’Evian de 68 Mdrr 😂 jamais ouvert un livre le moorish